13 datasets found
  1. Police Killings US

    • kaggle.com
    zip
    Updated Feb 6, 2022
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    Matthew Connor (2022). Police Killings US [Dataset]. https://www.kaggle.com/datasets/azizozmen/police-killings-us
    Explore at:
    zip(62816 bytes)Available download formats
    Dataset updated
    Feb 6, 2022
    Authors
    Matthew Connor
    Description

    "In 2015, The Washington Post began to log every fatal shooting by an on-duty police officer in the United States. In that time there have been more than 5,000 such shootings recorded by The Post. After Michael Brown, an unarmed Black man, was killed in 2014 by police in Ferguson, Mo., a Post investigation found that the FBI undercounted fatal police shootings by more than half. This is because reporting by police departments is voluntary and many departments fail to do so. The Washington Post’s data relies primarily on news accounts, social media postings, and police reports. Analysis of more than five years of data reveals that the number and circumstances of fatal shootings and the overall demographics of the victims have remained relatively constant..." SOURCE ==> Washington Post Article

    For more information about this story

    This dataset has been prepared by The Washington Post (they keep updating it on runtime) with every fatal shooting in the United States by a police officer in the line of duty since Jan. 1, 2015.

    2016 PoliceKillingUS DATASET
    2017 PoliceKillingUS DATASET
    2018 PoliceKillingUS DATASET
    2019 PoliceKillingUS DATASET
    2020 PoliceKillingUS DATASET

    Features at the Dataset:

    The file fatal-police-shootings-data.csv contains data about each fatal shooting in CSV format. The file can be downloaded at this URL. Each row has the following variables:

    • id: a unique identifier for each victim
    • name: the name of the victim
    • date: the date of the fatal shooting in YYYY-MM-DD format
    • manner_of_death: shot, shot and Tasered
    • armed: indicates that the victim was armed with some sort of implement that a police officer believed could inflict harm
      • undetermined: it is not known whether or not the victim had a weapon
      • unknown: the victim was armed, but it is not known what the object was
      • unarmed: the victim was not armed
    • age: the age of the victim
    • gender: the gender of the victim. The Post identifies victims by the gender they identify with if reports indicate that it differs from their biological sex.
      • M: Male
      • F: Female
      • None: unknown
    • race:
      • W: White, non-Hispanic
      • B: Black, non-Hispanic
      • A: Asian
      • N: Native American
      • H: Hispanic
      • O: Other
      • None: unknown
    • city: the municipality where the fatal shooting took place. Note that in some cases this field may contain a county name if a more specific municipality is unavailable or unknown.
    • state: two-letter postal code abbreviation
    • signs of mental illness: News reports have indicated the victim had a history of mental health issues, expressed suicidal intentions or was experiencing mental distress at the time of the shooting.
    • threat_level: The threat_level column was used to flag incidents for the story by Amy Brittain in October 2015. http://www.washingtonpost.com/sf/investigative/2015/10/24/on-duty-under-fire/ As described in the story, the general criteria for the attack label was that there was the most direct and immediate threat to life. That would include incidents where officers or others were shot at, threatened with a gun, attacked with other weapons or physical force, etc. The attack category is meant to flag the highest level of threat. The other and undetermined categories represent all remaining cases. Other includes many incidents where officers or others faced significant threats.
    • flee: News reports have indicated the victim was moving away from officers
      • Foot
      • Car
      • Not fleeing

    The threat column and the fleeing column are not necessarily related. For example, there is an incident in which the suspect is fleeing and at the same time turns to fire at gun at the officer. Also, attacks represent a status immediately before fatal shots by police while fleeing could begin slightly earlier and involve a chase. - body_camera: News reports have indicated an officer w...

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

    • statista.com
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    Statista, 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/
    Explore at:
    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.

  3. Rate of fatal police shootings U.S. 2015-2024, by ethnicity

    • statista.com
    Updated Nov 19, 2025
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    Statista (2025). Rate of fatal police shootings U.S. 2015-2024, by ethnicity [Dataset]. https://www.statista.com/statistics/1123070/police-shootings-rate-ethnicity-us/
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    Dataset updated
    Nov 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The rate of fatal police shootings in the United States shows large differences based on ethnicity. Among Black Americans, the rate of fatal police shootings between 2015 and December 2024 stood at 6.1 per million of the population per year, while for white Americans, the rate stood at 2.4 fatal police shootings per million of the population per year. Police brutality in the United States Police brutality is a major issue in the United States, but recently saw a spike in online awareness and protests following the murder of George Floyd, an African American who was killed by a Minneapolis police officer. Just a few months before, Breonna Taylor was fatally shot in her apartment when Louisville police officers forced entry into her apartment. Despite the repeated fatal police shootings across the country, police accountability has not been adequate according to many Americans. A majority of Black Americans thought that police officers were not held accountable for their misconduct, while less than half of White Americans thought the same. Political opinions Not only are there differences in opinion between ethnicities on police brutality, but there are also major differences between political parties. A majority of Democrats in the United States thought that police officers were not held accountable for their misconduct, while a majority of Republicans that they were held accountable. Despite opposing views on police accountability, both Democrats and Republicans agree that police should be required to be trained in nonviolent alternatives to deadly force.

  4. H

    Vol 16(2): Replication Data for: Black Lives Matter: Evidence that Police-...

    • dataverse.harvard.edu
    • search.dataone.org
    Updated May 16, 2018
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    Kris-Stella Trump; Vanessa Williamson; Katherine Levine Einstein (2018). Vol 16(2): Replication Data for: Black Lives Matter: Evidence that Police- Caused Deaths Predict Protest Activity [Dataset]. http://doi.org/10.7910/DVN/L2GSK6
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 16, 2018
    Dataset provided by
    Harvard Dataverse
    Authors
    Kris-Stella Trump; Vanessa Williamson; Katherine Levine Einstein
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Since 2013, protests opposing police violence against Black people have occurred across a number of American cities under the banner of “Black Lives Matter.” We develop a new dataset of Black Lives Matter protests that took place in 2014–2015 and explore the contexts in which they emerged. We find that Black Lives Matter protests are more likely to occur in localities where more Black people have previously been killed by police. We discuss the implications of our findings in light of the literature on the development of social movements and recent scholarship on the carceral state’s impact on political engagement.

  5. Fatal Police Shootings in the US (2015-2020)

    • kaggle.com
    zip
    Updated Jun 1, 2020
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    Larxel (2020). Fatal Police Shootings in the US (2015-2020) [Dataset]. https://www.kaggle.com/datasets/andrewmvd/police-deadly-force-usage-us/code
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    zip(135929 bytes)Available download formats
    Dataset updated
    Jun 1, 2020
    Authors
    Larxel
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    About this dataset

    The Washington Post compiled a dataset of every fatal shooting in the United States by a police officer in the line of duty since Jan. 1, 2015.

    In 2015, The Post began tracking more than a dozen details about each killing by culling local news reports, law enforcement websites and social media and by monitoring independent databases such as Killed by Police and Fatal Encounters. The available features are: - Race of the deceased; - Circumstances of the shooting; - Whether the person was armed; - Whether the victim was experiencing a mental-health crisis; - Among others.

    In 2016, The Post is gathering additional information about each fatal shooting that occurs this year and is filing open-records requests with departments. More than a dozen additional details are being collected about officers in each shooting.

    The Post is documenting only those shootings in which a police officer, in the line of duty, shot and killed a civilian — the circumstances that most closely parallel the 2014 killing of Michael Brown in Ferguson, Mo., which began the protest movement culminating in Black Lives Matter and an increased focus on police accountability nationwide. The Post is not tracking deaths of people in police custody, fatal shootings by off-duty officers or non-shooting deaths.

    The FBI and the Centers for Disease Control and Prevention log fatal shootings by police, but officials acknowledge that their data is incomplete. In 2015, The Post documented more than two times more fatal shootings by police than had been recorded by the FBI. Last year, the FBI announced plans to overhaul how it tracks fatal police encounters.

    How to use this dataset

    Acknowledgements

    If you use this dataset in your research, please credit the authors.

    BibTeX

    @misc{wapo-police-shootings-bot , author = {The Washington Post}, title = {data-police-shootings}, month = jan, year = 2015, publisher = {Github}, url = {https://github.com/washingtonpost/data-police-shootings} }

    License

    CC BY NC SA 4.0

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    Image by pixabay avaiable on pexels.

  6. A Multi-Level Bayesian Analysis of Racial Bias in Police Shootings at the...

    • plos.figshare.com
    zip
    Updated Jun 5, 2023
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    Cody T. Ross (2023). A Multi-Level Bayesian Analysis of Racial Bias in Police Shootings at the County-Level in the United States, 2011–2014 [Dataset]. http://doi.org/10.1371/journal.pone.0141854
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Cody T. Ross
    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

    A geographically-resolved, multi-level Bayesian model is used to analyze the data presented in the U.S. Police-Shooting Database (USPSD) in order to investigate the extent of racial bias in the shooting of American civilians by police officers in recent years. In contrast to previous work that relied on the FBI’s Supplemental Homicide Reports that were constructed from self-reported cases of police-involved homicide, this data set is less likely to be biased by police reporting practices. County-specific relative risk outcomes of being shot by police are estimated as a function of the interaction of: 1) whether suspects/civilians were armed or unarmed, and 2) the race/ethnicity of the suspects/civilians. The results provide evidence of a significant bias in the killing of unarmed black Americans relative to unarmed white Americans, in that the probability of being {black, unarmed, and shot by police} is about 3.49 times the probability of being {white, unarmed, and shot by police} on average. Furthermore, the results of multi-level modeling show that there exists significant heterogeneity across counties in the extent of racial bias in police shootings, with some counties showing relative risk ratios of 20 to 1 or more. Finally, analysis of police shooting data as a function of county-level predictors suggests that racial bias in police shootings is most likely to emerge in police departments in larger metropolitan counties with low median incomes and a sizable portion of black residents, especially when there is high financial inequality in that county. There is no relationship between county-level racial bias in police shootings and crime rates (even race-specific crime rates), meaning that the racial bias observed in police shootings in this data set is not explainable as a response to local-level crime rates.

  7. Fatal Police Shootings in the US

    • kaggle.com
    zip
    Updated Sep 22, 2017
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    Karolina Wullum (2017). Fatal Police Shootings in the US [Dataset]. https://www.kaggle.com/datasets/kwullum/fatal-police-shootings-in-the-us/discussion
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    zip(1113996 bytes)Available download formats
    Dataset updated
    Sep 22, 2017
    Authors
    Karolina Wullum
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    The 2014 killing of Michael Brown in Ferguson, Missouri, began the protest movement culminating in Black Lives Matter and an increased focus on police accountability nationwide.

    Since Jan. 1, 2015, The Washington Post has been compiling a database of every fatal shooting in the US by a police officer in the line of duty. It's difficult to find reliable data from before this period, as police killings haven't been comprehensively documented, and the statistics on police brutality are much less available. As a result, a vast number of cases go unreported.

    The Washington Post is tracking more than a dozen details about each killing - including the race, age and gender of the deceased, whether the person was armed, and whether the victim was experiencing a mental-health crisis. They have gathered this information from law enforcement websites, local new reports, social media, and by monitoring independent databases such as "Killed by police" and "Fatal Encounters". The Post has also conducted additional reporting in many cases.

    There are four additional datasets. These are US census data on poverty rate, high school graduation rate, median household income, and racial demographics.

    Source of census data: https://factfinder.census.gov/faces/nav/jsf/pages/community_facts.xhtml

  8. 🚨 US Police Shootings

    • kaggle.com
    zip
    Updated Aug 14, 2023
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    mexwell (2023). 🚨 US Police Shootings [Dataset]. https://www.kaggle.com/datasets/mexwell/us-police-shootings
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    zip(169070 bytes)Available download formats
    Dataset updated
    Aug 14, 2023
    Authors
    mexwell
    License

    Attribution-NonCommercial-ShareAlike 3.0 (CC BY-NC-SA 3.0)https://creativecommons.org/licenses/by-nc-sa/3.0/
    License information was derived automatically

    Area covered
    United States
    Description

    The Washington Post is compiling a database of every fatal shooting in the United States by a police officer in the line of duty since Jan. 1, 2015.

    In 2015, The Post began tracking more than a dozen details about each killing — including the race of the deceased, the circumstances of the shooting, whether the person was armed and whether the person was experiencing a mental-health crisis — by culling local news reports, law enforcement websites and social media, and by monitoring independent databases such as Killed by Police and Fatal Encounters. The Post conducted additional reporting in many cases.

    In 2016, The Post is gathering additional information about each fatal shooting by police that occurs this year and is filing open-records requests with departments. More than a dozen additional details are being collected about officers in each shooting. Officers’ names are being included in the database after The Post contacts the departments to request comment.

    The Post is documenting only those shootings in which a police officer, in the line of duty, shoots and kills a civilian — the circumstances that most closely parallel the 2014 killing of Michael Brown in Ferguson, Mo., which began the protest movement culminating in Black Lives Matter and an increased focus on police accountability nationwide. The Post is not tracking deaths of people in police custody, fatal shootings by off-duty officers or non-shooting deaths. The FBI and the Centers for Disease Control and Prevention log fatal shootings by police, but officials acknowledge that their data is incomplete. In 2015, The Post documented more than twice as many fatal shootings by police as had been recorded by the FBI. Last year, the FBI announced plans to overhaul how it tracks fatal police encounters.

    The Post's database is updated regularly as fatal shootings are reported and as facts emerge about individual cases. The Post is seeking assistance in making the database as comprehensive as possible. To provide information about fatal police shootings since Jan. 1, 2015, send us an email at policeshootingsfeedback@washpost.com. The Post is also interested in obtaining photos of the deceased and original videos of fatal encounters with police.

    Data Dictionary

    ...

    KeyList of...CommentExample Value
    Person.NameStringFull name of the individual or "Unknown" if not reported"Tim Elliot"
    Person.AgeIntegerAge in years of the individual or 0 (zero) if not reported53
    Person.GenderStringOne of Male, Female, or Unknown"Male"
    Person.RaceStringOne of Asian, African American, White, Hispanic, Native American, Other, or Unknown."Asian"
    Incident.Date.MonthIntegerMonth (1-12) in which the shooting occurred1
    Incident.Date.DayIntegerDay (1-31) in which the shooting occurred2
    Incident.Date.YearIntegerYear (2015-2019) in which the shooting occurred2015
    Incident.Date.FullStringDate in which shooting occurred (Year/Month/Day)"2015/01/02"
    Incident.Location.CityStringName of city in which the shooting occurred"Shelton"
    Incident.Location.StateStringName of U.S. State in which the shooting occurred"WA"
    Factors.ArmedStringDescription of any weapon carried by the person (.e., "gun", "knife", "unarmed"); value is "unknown" if not reported."gun"
    Factors.Mental-IllnessBooleanTrue if factors of mental illness were perceived in the person; False otherwiseTrue
    Factors.Threat-LevelStringThreat of person as perceived by police. One of "attack", "undetermined", or "other"; value is "unknown" if not reported."attack"
    Factors.FleeingStringMeans by which person was fleeing (e.g., "Car", "Foot") or "Not fleeing"; value is "unknown" if not reported."Not fleeing"
    Shooting.Manner
  9. Number, percentage and rate of homicide victims, by racialized identity...

    • www150.statcan.gc.ca
    • data.urbandatacentre.ca
    • +3more
    Updated Jul 22, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Number, percentage and rate of homicide victims, by racialized identity group, gender and region [Dataset]. http://doi.org/10.25318/3510020601-eng
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    Dataset updated
    Jul 22, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number, percentage and rate (per 100,000 population) of homicide victims, by racialized identity group (total, by racialized identity group; racialized identity group; South Asian; Chinese; Black; Filipino; Arab; Latin American; Southeast Asian; West Asian; Korean; Japanese; other racialized identity group; multiple racialized identity; racialized identity, but racialized identity group is unknown; rest of the population; unknown racialized identity group), gender (all genders; male; female; gender unknown) and region (Canada; Atlantic region; Quebec; Ontario; Prairies region; British Columbia; territories), 2019 to 2024.

  10. Police Killings

    • kaggle.com
    zip
    Updated Sep 13, 2021
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    mysar ahmad bhat (2021). Police Killings [Dataset]. https://www.kaggle.com/mysarahmadbhat/police-killings
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    zip(52377 bytes)Available download formats
    Dataset updated
    Sep 13, 2021
    Authors
    mysar ahmad bhat
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Field descriptions:

    HeaderDescriptionSource
    nameName of deceasedGuardian
    ageAge of deceasedGuardian
    genderGender of deceasedGuardian
    raceethnicityRace/ethnicity of deceasedGuardian
    monthMonth of killingGuardian
    dayDay of incidentGuardian
    yearYear of incidentGuardian
    streetaddressAddress/intersection where incident occurredGuardian
    cityCity where incident occurredGuardian
    stateState where incident occurredGuardian
    latitudeLatitude, geocoded from address
    longitudeLongitude, geocoded from address
    state_fpState FIPS codeCensus
    county_fpCounty FIPS codeCensus
    tract_ceTract ID codeCensus
    geo_idCombined tract ID code
    county_idCombined county ID code
    namelsadTract descriptionCensus
    lawenforcementagencyAgency involved in incidentGuardian
    causeCause of deathGuardian
    armedHow/whether deceased was armedGuardian
    popTract populationCensus
    share_whiteShare of pop that is non-Hispanic whiteCensus
    share_bloackShare of pop that is black (alone, not in combination)Census
    share_hispanicShare of pop that is Hispanic/Latino (any race)Census
    p_incomeTract-level median personal incomeCensus
    h_incomeTract-level median household incomeCensus
    county_incomeCounty-level median household incomeCensus
    comp_incomeh_income / county_incomeCalculated from Census
    county_bucketHousehold income, quintile within countyCalculated from Census
    nat_bucketHousehold income, quintile nationallyCalculated from Census
    povTract-level poverty rate (official)Census
    urateTract-level unemployment rateCalculated from Census
    collegeShare of 25+ pop with BA or higherCalculated from Census

    Note regarding income calculations:

    All income fields are in inflation-adjusted 2013 dollars.

    comp_income is simply tract-level median household income as a share of county-level median household income.

    county_bucket provides where the tract's median household income falls in the distribution (by quintile) of all tracts in the county. (1 indicates a tract falls in the poorest 20% of tracts within the county.) Distribution is not weighted by population.

    nat_bucket is the same but for all U.S. counties.

  11. 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
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    PLOShttp://plos.org/
    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.

  12. Fatal Police Shootings (2013-2016) & County Level Data

    • figshare.com
    txt
    Updated May 30, 2023
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    John Hamilton Bradford (2023). Fatal Police Shootings (2013-2016) & County Level Data [Dataset]. http://doi.org/10.6084/m9.figshare.5099536.v8
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    txtAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    John Hamilton Bradford
    License

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

    Description

    This is a set of csv files including a number of variables including fatal police shootings and other crime and socioeconomic covariates at different levels of geographical aggregation from 2013-2016. Five of the files use only the Washington Post data covering years 2015 and 2016, whereas the other five files utilize fatal police shootings of civilians for years 2013-2016, combining the Lott & Moody (2016) data for years 2013-2015 and Washington Post data for 2016. Other variables are included from the American Community Survey (ACS), the FBI's Uniform Crime Reports (UCR), the Law Enforcement Management and Administrative Statistics (LEMAS), Stanford Education Data Archive (SEDA), the US Census, and the Local Area Unemployment Statistics (LAUS) provided by the Bureau of Labor Statistics (BLS). The base file is the county-level data. The two files labelled "tenk" consist of regions with at least 10,000 residents. Counties with fewer than 10,000 residents are combined with adjacent counties, ranked by population in ascending order, so that counties with fewer than 10,000 residents are iteratively combined with adjacent neighbors with the fewest residents until they reach the threshold of 10,000 residents. The same algorithm is used to produce regions with 100,000 and 1 million residents. The final two files are state-level aggregations.

  13. Distribution of 2013 LEMAS policies among agencies involved in all and...

    • 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). Distribution of 2013 LEMAS policies among agencies involved in all and race-specific police killings in The Counted during 2015–2016. [Dataset]. http://doi.org/10.1371/journal.pone.0252749.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    PLOShttp://plos.org/
    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

    Distribution of 2013 LEMAS policies among agencies involved in all and race-specific police killings in The Counted during 2015–2016.

  14. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Matthew Connor (2022). Police Killings US [Dataset]. https://www.kaggle.com/datasets/azizozmen/police-killings-us
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Police Killings US

Explore at:
453 scholarly articles cite this dataset (View in Google Scholar)
zip(62816 bytes)Available download formats
Dataset updated
Feb 6, 2022
Authors
Matthew Connor
Description

"In 2015, The Washington Post began to log every fatal shooting by an on-duty police officer in the United States. In that time there have been more than 5,000 such shootings recorded by The Post. After Michael Brown, an unarmed Black man, was killed in 2014 by police in Ferguson, Mo., a Post investigation found that the FBI undercounted fatal police shootings by more than half. This is because reporting by police departments is voluntary and many departments fail to do so. The Washington Post’s data relies primarily on news accounts, social media postings, and police reports. Analysis of more than five years of data reveals that the number and circumstances of fatal shootings and the overall demographics of the victims have remained relatively constant..." SOURCE ==> Washington Post Article

For more information about this story

This dataset has been prepared by The Washington Post (they keep updating it on runtime) with every fatal shooting in the United States by a police officer in the line of duty since Jan. 1, 2015.

2016 PoliceKillingUS DATASET
2017 PoliceKillingUS DATASET
2018 PoliceKillingUS DATASET
2019 PoliceKillingUS DATASET
2020 PoliceKillingUS DATASET

Features at the Dataset:

The file fatal-police-shootings-data.csv contains data about each fatal shooting in CSV format. The file can be downloaded at this URL. Each row has the following variables:

  • id: a unique identifier for each victim
  • name: the name of the victim
  • date: the date of the fatal shooting in YYYY-MM-DD format
  • manner_of_death: shot, shot and Tasered
  • armed: indicates that the victim was armed with some sort of implement that a police officer believed could inflict harm
    • undetermined: it is not known whether or not the victim had a weapon
    • unknown: the victim was armed, but it is not known what the object was
    • unarmed: the victim was not armed
  • age: the age of the victim
  • gender: the gender of the victim. The Post identifies victims by the gender they identify with if reports indicate that it differs from their biological sex.
    • M: Male
    • F: Female
    • None: unknown
  • race:
    • W: White, non-Hispanic
    • B: Black, non-Hispanic
    • A: Asian
    • N: Native American
    • H: Hispanic
    • O: Other
    • None: unknown
  • city: the municipality where the fatal shooting took place. Note that in some cases this field may contain a county name if a more specific municipality is unavailable or unknown.
  • state: two-letter postal code abbreviation
  • signs of mental illness: News reports have indicated the victim had a history of mental health issues, expressed suicidal intentions or was experiencing mental distress at the time of the shooting.
  • threat_level: The threat_level column was used to flag incidents for the story by Amy Brittain in October 2015. http://www.washingtonpost.com/sf/investigative/2015/10/24/on-duty-under-fire/ As described in the story, the general criteria for the attack label was that there was the most direct and immediate threat to life. That would include incidents where officers or others were shot at, threatened with a gun, attacked with other weapons or physical force, etc. The attack category is meant to flag the highest level of threat. The other and undetermined categories represent all remaining cases. Other includes many incidents where officers or others faced significant threats.
  • flee: News reports have indicated the victim was moving away from officers
    • Foot
    • Car
    • Not fleeing

The threat column and the fleeing column are not necessarily related. For example, there is an incident in which the suspect is fleeing and at the same time turns to fire at gun at the officer. Also, attacks represent a status immediately before fatal shots by police while fleeing could begin slightly earlier and involve a chase. - body_camera: News reports have indicated an officer w...

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