100+ datasets found
  1. T

    Biased Based Policing Overview

    • internal.chattadata.org
    • chattadata.org
    Updated Jul 9, 2025
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    (2025). Biased Based Policing Overview [Dataset]. https://internal.chattadata.org/dataset/Biased-Based-Policing-Overview/y5qr-gke5
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    kml, kmz, csv, xml, application/geo+json, xlsxAvailable download formats
    Dataset updated
    Jul 9, 2025
    Description

    This dataset contains high level summary statistics from multiple Chattanooga Police Department data sources broken down by Race and Census tract. Following guidelines from the Center for Policing Equity, the data set seeks to highlight any disproportional outcomes based on population and other factors.

  2. Police personnel and selected crime statistics

    • www150.statcan.gc.ca
    • datasets.ai
    • +1more
    Updated Mar 26, 2024
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    Government of Canada, Statistics Canada (2024). Police personnel and selected crime statistics [Dataset]. http://doi.org/10.25318/3510007601-eng
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    Dataset updated
    Mar 26, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Government of Canadahttp://www.gg.ca/
    Area covered
    Canada
    Description

    Data on police personnel (police officers by gender, civilian and other personnel), police-civilian ratio, police officers and authorized strength per 100,000 population, authorized police officer strength and selected crime statistics. Data is provided for Canada, provinces, territories and the Royal Canadian Mounted Police (RCMP) headquarters, training academy depot division and forensic labs, 1986 to 2023.

  3. People shot to death by U.S. police 2017-2024, by race

    • statista.com
    Updated May 27, 2025
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    Statista (2025). People shot to death by U.S. police 2017-2024, by race [Dataset]. https://www.statista.com/statistics/585152/people-shot-to-death-by-us-police-by-race/
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    Dataset updated
    May 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Sadly, the trend of fatal police shootings in the United States seems to only be increasing, with a total 1,173 civilians having been shot, 248 of whom were Black, as of December 2024. In 2023, there were 1,164 fatal police shootings. Additionally, the rate of fatal police shootings among Black Americans was much higher than that for any other ethnicity, standing at 6.1 fatal shootings per million of the population per year between 2015 and 2024. Police brutality in the U.S. In recent years, particularly since the fatal shooting of Michael Brown in Ferguson, Missouri in 2014, police brutality has become a hot button issue in the United States. The number of homicides committed by police in the United States is often compared to those in countries such as England, where the number is significantly lower. Black Lives Matter The Black Lives Matter Movement, formed in 2013, has been a vocal part of the movement against police brutality in the U.S. by organizing “die-ins”, marches, and demonstrations in response to the killings of black men and women by police. While Black Lives Matter has become a controversial movement within the U.S., it has brought more attention to the number and frequency of police shootings of civilians.

  4. p

    Trends in White Student Percentage (2011-2023): Law Enforcement Officers...

    • publicschoolreview.com
    Updated Aug 1, 2015
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    Public School Review (2015). Trends in White Student Percentage (2011-2023): Law Enforcement Officers Memorial High School vs. Florida vs. Miami-Dade School District [Dataset]. https://www.publicschoolreview.com/law-enforcement-officers-memorial-high-school-profile
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    Dataset updated
    Aug 1, 2015
    Dataset authored and provided by
    Public School Review
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Dade County School District, Miami-Dade County
    Description

    This dataset tracks annual white student percentage from 2011 to 2023 for Law Enforcement Officers Memorial High School vs. Florida and Miami-Dade School District

  5. p

    Law Enforcement Officers Memorial High School

    • publicschoolreview.com
    json, xml
    Updated Aug 1, 2015
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    Public School Review (2015). Law Enforcement Officers Memorial High School [Dataset]. https://www.publicschoolreview.com/law-enforcement-officers-memorial-high-school-profile
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    xml, jsonAvailable download formats
    Dataset updated
    Aug 1, 2015
    Dataset authored and provided by
    Public School Review
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2011 - Dec 31, 2025
    Description

    Historical Dataset of Law Enforcement Officers Memorial High School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2011-2023),Total Classroom Teachers Trends Over Years (2011-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2011-2023),Asian Student Percentage Comparison Over Years (2012-2023),Hispanic Student Percentage Comparison Over Years (2011-2023),Black Student Percentage Comparison Over Years (2011-2023),White Student Percentage Comparison Over Years (2011-2023),Two or More Races Student Percentage Comparison Over Years (2021-2023),Diversity Score Comparison Over Years (2011-2023),Free Lunch Eligibility Comparison Over Years (2011-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2011-2023),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2012-2023),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2012-2023),Graduation Rate Comparison Over Years (2013-2023)

  6. Data from: Participation in Illegitimate Activities: Ehrlich Revisited, 1960...

    • catalog.data.gov
    • icpsr.umich.edu
    • +1more
    Updated Mar 12, 2025
    + more versions
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    National Institute of Justice (2025). Participation in Illegitimate Activities: Ehrlich Revisited, 1960 [Dataset]. https://catalog.data.gov/dataset/participation-in-illegitimate-activities-ehrlich-revisited-1960-c5a0d
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    Dataset updated
    Mar 12, 2025
    Dataset provided by
    National Institute of Justicehttp://nij.ojp.gov/
    Description

    This study re-analyzes Isaac Ehrlich's 1960 cross-section data on the relationship between aggregate levels of punishment and crime rates. It provides alternative model specifications and estimations. The study examined the deterrent effects of punishment on seven FBI index crimes: murder, rape, assault, larceny, robbery, burglary, and auto theft. Socio-economic variables include family income, percentage of families earning below half of the median income, unemployment rate for urban males in the age groups 14-24 and 35-39, labor force participation rate, educational level, percentage of young males and non-whites in the population, percentage of population in the SMSA, sex ratio, and place of occurrence. Two sanction variables are also included: 1) the probability of imprisonment, and 2) the average time served in prison when sentenced (severity of punishment). Also included are: per capita police expenditure for 1959 and 1960, and the crime rates for murder, rape, assault, larceny, robbery, burglary, and auto theft.

  7. NYPD Personnel Demographics

    • data.cityofnewyork.us
    • catalog.data.gov
    application/rdfxml +5
    Updated Jul 17, 2025
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    New York Police Department (NYPD) (2025). NYPD Personnel Demographics [Dataset]. https://data.cityofnewyork.us/Public-Safety/NYPD-Personnel-Demographics/5vr7-5fki
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    json, csv, application/rssxml, tsv, application/rdfxml, xmlAvailable download formats
    Dataset updated
    Jul 17, 2025
    Dataset provided by
    New York City Police Departmenthttps://nyc.gov/nypd
    Authors
    New York Police Department (NYPD)
    Description

    List of NYPD members of service

  8. w

    Historic police recorded crime and outcomes open data tables

    • gov.uk
    Updated Jan 30, 2025
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    Home Office (2025). Historic police recorded crime and outcomes open data tables [Dataset]. https://www.gov.uk/government/statistics/police-recorded-crime-open-data-tables
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    Dataset updated
    Jan 30, 2025
    Dataset provided by
    GOV.UK
    Authors
    Home Office
    Description

    For the latest data tables see ‘Police recorded crime and outcomes open data tables’.

    These historic data tables contain figures up to September 2024 for:

    1. Police recorded crime
    2. Crime outcomes
    3. Transferred/cancelled records (formerly ‘no-crimes’)
    4. Knife crime
    5. Firearms
    6. Hate crime
    7. Fraud crime
    8. Rape incidents crime

    There are counting rules for recorded crime to help to ensure that crimes are recorded consistently and accurately.

    These tables are designed to have many uses. The Home Office would like to hear from any users who have developed applications for these data tables and any suggestions for future releases. Please contact the Crime Analysis team at crimeandpolicestats@homeoffice.gov.uk.

  9. Police Performance and Case Attrition in Los Angeles County, 1980-1981

    • icpsr.umich.edu
    • catalog.data.gov
    ascii
    Updated Jan 18, 2006
    + more versions
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    Petersilia, Joan; Abrahamse, Allan F.; Wilson, James Q. (2006). Police Performance and Case Attrition in Los Angeles County, 1980-1981 [Dataset]. http://doi.org/10.3886/ICPSR09352.v1
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    asciiAvailable download formats
    Dataset updated
    Jan 18, 2006
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Petersilia, Joan; Abrahamse, Allan F.; Wilson, James Q.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/9352/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/9352/terms

    Time period covered
    1980 - 1981
    Area covered
    Los Angeles County, United States, California
    Description

    The purpose of this data collection was to investigate the effects of crime rates, city characteristics, and police departments' financial resources on felony case attrition rates in 28 cities located in Los Angeles County, California. Demographic data for this collection were obtained from the 1983 COUNTY AND CITY DATA BOOK. Arrest data were collected directly from the 1980 and 1981 CALIFORNIA OFFENDER BASED TRANSACTION STATISTICS (OBTS) data files maintained by the California Bureau of Criminal Statistics. City demographic variables include total population, minority population, population aged 65 years or older, number of female-headed families, number of index crimes, number of families below the poverty level, city expenditures, and police expenditures. City arrest data include information on number of arrests disposed and number of males, females, blacks, and whites arrested. Also included are data on the number of cases released by police, denied by prosecutors, and acquitted, and data on the number of convicted cases given prison terms.

  10. g

    U.S. Department of Justice,Full-time State Law Enforcement Employees, USA by...

    • geocommons.com
    Updated May 5, 2008
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    Emily Sciarillo (2008). U.S. Department of Justice,Full-time State Law Enforcement Employees, USA by State, 2006 [Dataset]. http://geocommons.com/search.html
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    Dataset updated
    May 5, 2008
    Dataset provided by
    U.S. Department of Justice Federal Bureau of Investigation; Criminal Justice Information Services Division
    dwoolfe
    Authors
    Emily Sciarillo
    Description

    This dataset was retrieved from the U.S. Department of Justice Federal Bureau of Investigation Criminal Justice Information Services Division website on February 29, 2008. "This table provides the total number of state law enforcement employees, the total number of male officers, the total number of female officers, the total number of male civilian employees, and the total number of female civilian employees". Values for individual agencies were aggregated for each state. Estimated population was added for each state for 2006 that appeared on Table 5 of the data from 2006. "The FBI collects these data through the Uniform Crime Reporting (UCR) Program". Please see the Data Declaration for further information on the data set. Values of -1 represent no value.

  11. f

    Quantifying underreporting of law-enforcement-related deaths in United...

    • plos.figshare.com
    pdf
    Updated Jun 4, 2023
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    Justin M. Feldman; Sofia Gruskin; Brent A. Coull; Nancy Krieger (2023). Quantifying underreporting of law-enforcement-related deaths in United States vital statistics and news-media-based data sources: A capture–recapture analysis [Dataset]. http://doi.org/10.1371/journal.pmed.1002399
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    pdfAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOS Medicine
    Authors
    Justin M. Feldman; Sofia Gruskin; Brent A. Coull; Nancy Krieger
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    BackgroundPrior research suggests that United States governmental sources documenting the number of law-enforcement-related deaths (i.e., fatalities due to injuries inflicted by law enforcement officers) undercount these incidents. The National Vital Statistics System (NVSS), administered by the federal government and based on state death certificate data, identifies such deaths by assigning them diagnostic codes corresponding to “legal intervention” in accordance with the International Classification of Diseases–10th Revision (ICD-10). Newer, nongovernmental databases track law-enforcement-related deaths by compiling news media reports and provide an opportunity to assess the magnitude and determinants of suspected NVSS underreporting. Our a priori hypotheses were that underreporting by the NVSS would exceed that by the news media sources, and that underreporting rates would be higher for decedents of color versus white, decedents in lower versus higher income counties, decedents killed by non-firearm (e.g., Taser) versus firearm mechanisms, and deaths recorded by a medical examiner versus coroner.Methods and findingsWe created a new US-wide dataset by matching cases reported in a nongovernmental, news-media-based dataset produced by the newspaper The Guardian, The Counted, to identifiable NVSS mortality records for 2015. We conducted 2 main analyses for this cross-sectional study: (1) an estimate of the total number of deaths and the proportion unreported by each source using capture–recapture analysis and (2) an assessment of correlates of underreporting of law-enforcement-related deaths (demographic characteristics of the decedent, mechanism of death, death investigator type [medical examiner versus coroner], county median income, and county urbanicity) in the NVSS using multilevel logistic regression. We estimated that the total number of law-enforcement-related deaths in 2015 was 1,166 (95% CI: 1,153, 1,184). There were 599 deaths reported in The Counted only, 36 reported in the NVSS only, 487 reported in both lists, and an estimated 44 (95% CI: 31, 62) not reported in either source. The NVSS documented 44.9% (95% CI: 44.2%, 45.4%) of the total number of deaths, and The Counted documented 93.1% (95% CI: 91.7%, 94.2%). In a multivariable mixed-effects logistic model that controlled for all individual- and county-level covariates, decedents injured by non-firearm mechanisms had higher odds of underreporting in the NVSS than those injured by firearms (odds ratio [OR]: 68.2; 95% CI: 15.7, 297.5; p < 0.01), and underreporting was also more likely outside of the highest-income-quintile counties (OR for the lowest versus highest income quintile: 10.1; 95% CI: 2.4, 42.8; p < 0.01). There was no statistically significant difference in the odds of underreporting in the NVSS for deaths certified by coroners compared to medical examiners, and the odds of underreporting did not vary by race/ethnicity. One limitation of our analyses is that we were unable to examine the characteristics of cases that were unreported in The Counted.ConclusionsThe media-based source, The Counted, reported a considerably higher proportion of law-enforcement-related deaths than the NVSS, which failed to report a majority of these incidents. For the NVSS, rates of underreporting were higher in lower income counties and for decedents killed by non-firearm mechanisms. There was no evidence suggesting that underreporting varied by death investigator type (medical examiner versus coroner) or race/ethnicity.

  12. p

    Trends in White Student Percentage (2004-2023): High School For Law...

    • publicschoolreview.com
    Updated Sep 5, 2025
    + more versions
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    Public School Review (2025). Trends in White Student Percentage (2004-2023): High School For Law Enforcement And Public Safety vs. New York vs. New York City Geographic District #28 School District [Dataset]. https://www.publicschoolreview.com/high-school-for-law-enforcement-and-public-safety-profile
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    Dataset updated
    Sep 5, 2025
    Dataset authored and provided by
    Public School Review
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    New York
    Description

    This dataset tracks annual white student percentage from 2004 to 2023 for High School For Law Enforcement And Public Safety vs. New York and New York City Geographic District #28 School District

  13. f

    Multivariable negative binomial regression of municipal and county-level...

    • plos.figshare.com
    xls
    Updated Jun 10, 2023
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    Marilyn D. Thomas; Alexis N. Reeves; Nicholas P. Jewell; Eli K. Michaels; Amani M. Allen (2023). Multivariable negative binomial regression of municipal and county-level police killing rates on 2013 LEMAS policies by agencies in The Counted during 2015–2016, counts by all and race-specific killings. [Dataset]. http://doi.org/10.1371/journal.pone.0252749.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Marilyn D. Thomas; Alexis N. Reeves; Nicholas P. Jewell; Eli K. Michaels; Amani M. Allen
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Multivariable negative binomial regression of municipal and county-level police killing rates on 2013 LEMAS policies by agencies in The Counted during 2015–2016, counts by all and race-specific killings.

  14. d

    Rates of Intimate Partner Violence Across New York City: An Intersectional...

    • datasets.ai
    • data.cityofnewyork.us
    • +2more
    23, 40, 55, 8
    Updated Sep 11, 2024
    + more versions
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    City of New York (2024). Rates of Intimate Partner Violence Across New York City: An Intersectional Analysis [Dataset]. https://datasets.ai/datasets/rates-of-intimate-partner-violence-across-new-york-city-an-intersectional-analysis
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    40, 23, 8, 55Available download formats
    Dataset updated
    Sep 11, 2024
    Dataset authored and provided by
    City of New York
    Area covered
    New York
    Description

    This data set contains New York City Police Department provided felony assault count data for calendar years 2020 and 2021. The data includes counts of the number of intimate-partner felony assaults and the number of expected intimate-partner felony assaults by: race (American Indian, Asian, Black, Hispanic and White) and sex (male, female) for New York City, each borough (Bronx, Brooklyn, Manhattan, Queens and Staten Island) and community district. The following defines felony assault: Felony assault requires that a victim suffer a physical injury and covers injuries caused either intentionally or recklessly and includes injuries caused by either a deadly weapon or dangerous instrument. See New York Penal Law § § 120.05, 120.10. The expected number of felony assaults were calculated by taking the total number of actual felony assaults for a given geography (New York City, the Bronx, Brooklyn, Manhattan, Queens and Staten Island) and proportioning them by demographic breakdown of the geographic area.

  15. f

    Odds ratios (ORs) and 95% confidence intervals (CIs) for associations...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 7, 2023
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    Maria R. Khan; Farzana Kapadia; Amanda Geller; Medha Mazumdar; Joy D. Scheidell; Kristen D. Krause; Richard J. Martino; Charles M. Cleland; Typhanye V. Dyer; Danielle C. Ompad; Perry N. Halkitis (2023). Odds ratios (ORs) and 95% confidence intervals (CIs) for associations between participant socio-demographic, psychosocial, and behavioral factors and past year stop-and-frisk at cohort baseline in 2014. [Dataset]. http://doi.org/10.1371/journal.pone.0256201.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 7, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Maria R. Khan; Farzana Kapadia; Amanda Geller; Medha Mazumdar; Joy D. Scheidell; Kristen D. Krause; Richard J. Martino; Charles M. Cleland; Typhanye V. Dyer; Danielle C. Ompad; Perry N. Halkitis
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Odds ratios (ORs) and 95% confidence intervals (CIs) for associations between participant socio-demographic, psychosocial, and behavioral factors and past year stop-and-frisk at cohort baseline in 2014.

  16. f

    Summary statistics for topic networks created from the full hashtag networks...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 1, 2023
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    Ryan J. Gallagher; Andrew J. Reagan; Christopher M. Danforth; Peter Sheridan Dodds (2023). Summary statistics for topic networks created from the full hashtag networks using the disparity filter at the significance level α = 0.03 [52]. [Dataset]. http://doi.org/10.1371/journal.pone.0195644.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Ryan J. Gallagher; Andrew J. Reagan; Christopher M. Danforth; Peter Sheridan Dodds
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Summary statistics for topic networks created from the full hashtag networks using the disparity filter at the significance level α = 0.03 [52].

  17. g

    U.S. Department of Justice, Crime, USA by State, 2006

    • geocommons.com
    Updated May 5, 2008
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    Emily Sciarillo (2008). U.S. Department of Justice, Crime, USA by State, 2006 [Dataset]. http://geocommons.com/search.html
    Explore at:
    Dataset updated
    May 5, 2008
    Dataset provided by
    data
    U.S. Department of Justice Federal Bureau of Investigation; Criminal Justice Information Services Division
    Authors
    Emily Sciarillo
    Description

    This dataset was retrieved from the U.S. Department of Justice Federal Bureau of Investigation Criminal Justice Information Services Division website on February 29, 2008. "This table provides the estimated number of offenses and the actual number of offenses reported in the Metropolitan Statistical Areas (MSA), cities outside metropolitan areas, and nonmetropolitan counties, and the rate (per 100,000 inhabitants) for each grouping, and the estimated population for each state" however to simplify the dataset, I only included the state total and the rate for each state. Data for Puerto Rico was not included. "The FBI collects these data through the Uniform Crime Reporting (UCR) Program". Please see the Data Declaration for further information on the data set. Values of -1 represent no value.

  18. p

    Trends in White Student Percentage (2009-2023): Franklin Police And Fire...

    • publicschoolreview.com
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    Public School Review, Trends in White Student Percentage (2009-2023): Franklin Police And Fire High School vs. Arizona vs. Phoenix Union High School District (4286) [Dataset]. https://www.publicschoolreview.com/franklin-police-and-fire-high-school-profile
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    Dataset authored and provided by
    Public School Review
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Phoenix Union High School District, Phoenix
    Description

    This dataset tracks annual white student percentage from 2009 to 2023 for Franklin Police And Fire High School vs. Arizona and Phoenix Union High School District (4286)

  19. g

    National Association of State Budget Officers, State Employees in...

    • geocommons.com
    Updated May 7, 2008
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    data (2008). National Association of State Budget Officers, State Employees in Corrections Workforce by State, USA, 2006 [Dataset]. http://geocommons.com/search.html
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    Dataset updated
    May 7, 2008
    Dataset provided by
    National Association of State Budget Officers (NASBO)
    data
    Description

    This dataset shows the percentage of State Employees that work in Corrections by state in the year 2006. This data was brought to our attention by the Pew Charitable Trusts in their report titled, One in 100: Behind Bars in America 2008. The main emphasis of the article emphasizes the point that in 2007 1 in every 100 Americans were in prison. To note: The District of Columbia is not included. D.C. prisoners were transferred to federal custody in 2001

  20. g

    Catoctin Creek

    • geocommons.com
    Updated Jun 2, 2008
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    data (2008). Catoctin Creek [Dataset]. http://geocommons.com/search.html
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    Dataset updated
    Jun 2, 2008
    Dataset provided by
    data
    Description

    This dataset has been migrated from our Geocommons platform, and lacks a description from the original posting user. This is not a Fortiusone provided dataset. Please keep this in mind, and make of the dataset what you will. Thank you for visiting Finder!

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(2025). Biased Based Policing Overview [Dataset]. https://internal.chattadata.org/dataset/Biased-Based-Policing-Overview/y5qr-gke5

Biased Based Policing Overview

Explore at:
kml, kmz, csv, xml, application/geo+json, xlsxAvailable download formats
Dataset updated
Jul 9, 2025
Description

This dataset contains high level summary statistics from multiple Chattanooga Police Department data sources broken down by Race and Census tract. Following guidelines from the Center for Policing Equity, the data set seeks to highlight any disproportional outcomes based on population and other factors.

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