30 datasets found
  1. Number of law enforcement officers killed by gender U.S. 2010-2019

    • statista.com
    Updated Jun 18, 2020
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    Statista (2020). Number of law enforcement officers killed by gender U.S. 2010-2019 [Dataset]. https://www.statista.com/statistics/1126874/number-law-enforcement-officers-killed-us-gender/
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    Dataset updated
    Jun 18, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    From 2010 to 2019, the number of male law enforcement officers killed in the United States has greatly exceeded the number of female law enforcement officers. In 2019, ** male law enforcement officers were killed while ***** female law enforcement officers were killed.

  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/
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    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. 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
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    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...

  4. People shot to death by U.S. police 2017-2024, by month

    • statista.com
    Updated Sep 22, 2025
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    Statista (2025). People shot to death by U.S. police 2017-2024, by month [Dataset]. https://www.statista.com/statistics/585159/people-shot-to-death-by-us-police-by-month/
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    Dataset updated
    Sep 22, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of December 31, the U.S. police shot 1,173 people to death in 2024. In 2023, 1,164 people were shot to death by police in the United States. Police treatment Since as early as the 18th century, police brutality has been a significant issue in the United States. Black Americans have been especially marginalized by police officers, as they have faced higher rates of fatal police shootings compared to other ethnicities. Disparities also exist in perceptions of police treatment depending on ethnicity. A majority of Black Americans think that Black and White people do not receive equal police treatment, while more than half of White and Hispanic Americans think the same. Police reform The upsurge in Black Lives Matter protests in response to the killing of Black Americans as a result of police brutality has created a call for police reform. In 2019, it was found that police killings decreased by a quarter in police departments that implemented a policy that requires officers to use all other means before shooting. Since the killing of George Floyd in May 2020, 21 states, including New York and California, have passed bills that focused on police supervision.

  5. Argentina: number of deaths by the police in Buenos Aires 2019, by...

    • statista.com
    Updated Dec 16, 2020
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    Statista (2020). Argentina: number of deaths by the police in Buenos Aires 2019, by circumstance [Dataset]. https://www.statista.com/statistics/1189295/number-deaths-police-force-circumstance-buenos-aires-argentina/
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    Dataset updated
    Dec 16, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    Argentina
    Description

    In 2019, the were more than 130 deaths caused by the use of police lethal force in the province of Buenos Aires, Argentina, out of which 77 were related to the protection of materials goods (including both the agent's or third party property). Meanwhile, around 57 percent of deaths by police intervention were related to personal situations of police officers, including femicide, theft of own property, or other private nature circumstance.

  6. Number of people killed by police by ethnicity U.S. 2013-2024

    • statista.com
    Updated Nov 15, 2024
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    Statista (2024). Number of people killed by police by ethnicity U.S. 2013-2024 [Dataset]. https://www.statista.com/statistics/1124036/number-people-killed-police-ethnicity-us/
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    Dataset updated
    Nov 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of November 17, 277 Black people were killed by the police in the United States in 2024. This compares to 201 Hispanic people and 445 white people. The rate of police shootings of Black Americans is much higher than any other ethnicity, at 6.2 per million people. This rate stands at 2.8 per million for Hispanic people and 2.4 per million for white people.

  7. s

    Crime Data 2019 (Part 1 Offenses)

    • data.syr.gov
    • hub.arcgis.com
    Updated Mar 30, 2022
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    admin_syr (2022). Crime Data 2019 (Part 1 Offenses) [Dataset]. https://data.syr.gov/datasets/4e0ea21c67ff43bdbb38ffecbfba8175
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    Dataset updated
    Mar 30, 2022
    Dataset authored and provided by
    admin_syr
    License

    https://data.syrgov.net/pages/termsofusehttps://data.syrgov.net/pages/termsofuse

    Description

    This 2019 crime data is the list of crimes that the Syracuse Police Department responded to in 2019. These records does not include rape offenses as well as any crimes that have been sealed by the court. Crimes are reported to the FBI in two major categories under the Uniform Crime Reports specification: Part 1 and Part 2 crimes. Part 1 crimes include criminal homicide, forcible rape, robbery, aggravated assault, burglary, larceny-theft, and motor vehicle theft. In these records, rape offenses have been excluded due to victim privacy concerns.Part 2 crimes include all other offenses. A more detailed guide to Part 1 crimes is listed below. More details about Part 2 Crimes is listed in the Part 2 Crimes Dataset.When using the data, the date and time provided are when the crime was actually reported. This means that though a larceny might be reported at noon, the actual crime could have happened at 8am, but was not realized until someone noticed hours later. Similarly, if a home break-in happens during a holiday weekend when the owners are out of town, the crime report may not come in until they return home and notice the crime took place previously. The address in the dataset is where the crime occurred. The location is also anonymized to the block level, so a crime that occurred at 123 Main St. will appear as occurring on the 100 block of Main St. This is to protect the privacy of all involved. Finally, information about crimes is fluid, and details about the crime could change.Data DictionaryDR Number - Department Report (DR) number is a unique number assigned by the Records Management System, the first two numbers identify the year in which the incident was reported.Time start and time end - Listed in military time (2400) - Burglaries and larcenies are often a time frame. Address - Where the crime occurred. All addresses are in the 100’s because the Syracuse Police Department allows privacy for residents and only lists the block number.Code Defined - Offense names are listed as crime categories group for ease of understanding. There may have been other offenses also, but the one displayed is the highest Unified Crime Reporting (UCR) category.Arrest - Means that there was an arrest, but not necessarily for that crime.Larceny Code - Indicates the type of larceny (Example: From Building or From Motor Vehicle).DisclaimerData derived from the Syracuse Police Department record management system, any data not listed is not currently available.Part I Crime DefinitionsCriminal homicide—a.) Murder and non-negligent manslaughter: the willful (non-negligent) killing of one human being by another. Deaths caused by negligence, attempts to kill, assaults to kill, suicides, and accidental deaths are excluded. The program classifies justifiable homicides separately and limits the definition to: (1) the killing of a felon by a law enforcement officer in the line of duty; or (2) the killing of a felon, during the commission of a felony, by a private citizen. b.) Manslaughter by negligence: the killing of another person through gross negligence. Deaths of persons due to their own negligence, accidental deaths not resulting from gross negligence, and traffic fatalities are not included in the category Manslaughter by Negligence. Robbery—The taking or attempting to take anything of value from the care, custody, or control of a person or persons by force or threat of force or violence and/or by putting the victim in fear. Aggravated assault—An unlawful attack by one person upon another for the purpose of inflicting severe or aggravated bodily injury. This type of assault usually is accompanied by the use of a weapon or by means likely to produce death or great bodily harm. Simple assaults are excluded. Burglary (breaking or entering)—The unlawful entry of a structure to commit a felony or a theft. Attempted forcible entry is included. Larceny-theft (except motor vehicle theft)—The unlawful taking, carrying, leading, or riding away of property from the possession or constructive possession of another. Examples are thefts of bicycles, motor vehicle parts and accessories, shoplifting, pocket picking, or the stealing of any property or article that is not taken by force and violence or by fraud. Attempted larcenies are included. Embezzlement, confidence games, forgery, check fraud, etc., are excluded. Motor vehicle theft—The theft or attempted theft of a motor vehicle. A motor vehicle is self-propelled and runs on land surface and not on rails. Motorboats, construction equipment, airplanes, and farming equipment are specifically excluded from this category.

  8. Argentina: number of deaths by the police in Buenos Aires province 2016-2019...

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Argentina: number of deaths by the police in Buenos Aires province 2016-2019 [Dataset]. https://www.statista.com/statistics/1188924/number-deaths-police-force-buenos-aires-argentina/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Argentina
    Description

    In 2019, an average of *** person was killed every three days due to the use of lethal force by police in the province of Buenos Aires, Argentina. That year, the number of deaths in the province totaled ***, an increase of **** percent in comparison to 2016.

  9. N

    children killed 2019

    • data.cityofnewyork.us
    csv, xlsx, xml
    Updated Nov 26, 2025
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    Police Department (NYPD) (2025). children killed 2019 [Dataset]. https://data.cityofnewyork.us/Public-Safety/children-killed-2019/8tst-d8fj
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    csv, xml, xlsxAvailable download formats
    Dataset updated
    Nov 26, 2025
    Authors
    Police Department (NYPD)
    Description

    The Motor Vehicle Collisions person table contains details for people involved in the crash. Each row represents a person (driver, occupant, pedestrian, bicyclist,..) involved in a crash. The data in this table goes back to April 2016 when crash reporting switched to an electronic system.

    The Motor Vehicle Collisions data tables contain information from all police reported motor vehicle collisions in NYC. The police report (MV104-AN) is required to be filled out for collisions where someone is injured or killed, or where there is at least $1000 worth of damage (https://www.nhtsa.gov/sites/nhtsa.dot.gov/files/documents/ny_overlay_mv-104an_rev05_2004.pdf). It should be noted that the data is preliminary and subject to change when the MV-104AN forms are amended based on revised crash details.

    Due to success of the CompStat program, NYPD began to ask how to apply the CompStat principles to other problems. Other than homicides, the fatal incidents with which police have the most contact with the public are fatal traffic collisions. Therefore in April 1998, the Department implemented TrafficStat, which uses the CompStat model to work towards improving traffic safety. Police officers complete form MV-104AN for all vehicle collisions. The MV-104AN is a New York State form that has all of the details of a traffic collision. Before implementing Trafficstat, there was no uniform traffic safety data collection procedure for all of the NYPD precincts. Therefore, the Police Department implemented the Traffic Accident Management System (TAMS) in July 1999 in order to collect traffic data in a uniform method across the City. TAMS required the precincts manually enter a few selected MV-104AN fields to collect very basic intersection traffic crash statistics which included the number of accidents, injuries and fatalities. As the years progressed, there grew a need for additional traffic data so that more detailed analyses could be conducted. The Citywide traffic safety initiative, Vision Zero started in the year 2014. Vision Zero further emphasized the need for the collection of more traffic data in order to work towards the Vision Zero goal, which is to eliminate traffic fatalities. Therefore, the Department in March 2016 replaced the TAMS with the new Finest Online Records Management System (FORMS). FORMS enables the police officers to electronically, using a Department cellphone or computer, enter all of the MV-104AN data fields and stores all of the MV-104AN data fields in the Department’s crime data warehouse. Since all of the MV-104AN data fields are now stored for each traffic collision, detailed traffic safety analyses can be conducted as applicable.

  10. o

    Jacob Kaplan's Concatenated Files: Uniform Crime Reporting Program Data: Law...

    • openicpsr.org
    Updated Mar 25, 2018
    + more versions
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    Jacob Kaplan (2018). Jacob Kaplan's Concatenated Files: Uniform Crime Reporting Program Data: Law Enforcement Officers Killed and Assaulted (LEOKA) 1960-2021 [Dataset]. http://doi.org/10.3886/E102180V12
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    Dataset updated
    Mar 25, 2018
    Dataset provided by
    Princeton University
    Authors
    Jacob Kaplan
    License

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

    Time period covered
    1960 - 2020
    Area covered
    United States
    Description

    For a comprehensive guide to this data and other UCR data, please see my book at ucrbook.comVersion 12 release notes:Adds 2021 data.Version 11 release notes:Adds 2020 data. Please note that the FBI has retired UCR data ending in 2020 data so this will (probably, I haven't seen confirmation either way) be the last LEOKA data they release. Changes .rda file to .rds.Version 10 release notes:Changes release notes description, does not change data.Version 9 release notes:Adds data for 2019.Version 8 release notes:Fix bug for years 1960-1971 where the number of months reported variable was incorrectly down by 1 month. I recommend caution when using these years as they only report either 0 or 12 months of the year, which differs from every other year in the data. Added the variable officers_killed_total which is the sum of officers_killed_by_felony and officers_killed_by_accident.Version 7 release notes:Adds data from 2018Version 6 release notes:Adds data in the following formats: SPSS and Excel.Changes project name to avoid confusing this data for the ones done by NACJD.Version 5 release notes: Adds data for 1960-1974 and 2017. Note: many columns (including number of female officers) will always have a value of 0 for years prior to 1971. This is because those variables weren't collected prior to 1971. These should be NA, not 0 but I'm keeping it as 0 to be consistent with the raw data. Removes support for .csv and .sav files.Adds a number_of_months_reported variable for each agency-year. A month is considered reported if the month_indicator column for that month has a value of "normal update" or "reported, not data."The formatting of the monthly data has changed from wide to long. This means that each agency-month has a single row. The old data had each agency being a single row with each month-category (e.g. jan_officers_killed_by_felony) being a column. Now there will just be a single column for each category (e.g. officers_killed_by_felony) and the month can be identified in the month column. This also results in most column names changing. As such, be careful when aggregating the monthly data since some variables are the same every month (e.g. number of officers employed is measured annually) so aggregating will be 12 times as high as the real value for those variables. Adds a date column. This date column is always set to the first of the month. It is NOT the date that a crime occurred or was reported. It is only there to make it easier to create time-series graphs that require a date input.All the data in this version was acquired from the FBI as text/DAT files and read into R using the package asciiSetupReader. The FBI also provided a PDF file explaining how to create the setup file to read the data. Both the FBI's PDF and the setup file I made are included in the zip files. Data is the same as from NACJD but using all FBI files makes cleaning easier as all column names are already identical. Version 4 release notes: Add data for 2016.Order rows by year (descending) and ORI.Version 3 release notes: Fix bug where Philadelphia Police Department had incorrect FIPS county code. The LEOKA data sets contain highly detailed data about the number of officers/civilians employed by an agency and how many officers were killed or assaulted. All the data was acquired from the FBI as text/DAT files and read into R using the package asciiSetupReader. The FBI also provided a PDF file explaining how to create the setup file to read the data. Both the FBI's PDF and the setup file I made are included in the zip files. About 7% of all agencies in the data report more officers or civilians than population. As such, I removed the officers/civilians per 1,000 population variables. You should exercise caution if deciding to generate and use these variables yourself. Several agency had impossible large (>15) officer deaths in a single month. For those months I changed the value to NA. The UCR Handbook (https://ucr.fbi.gov/additional-ucr-publications/ucr_handbook.pdf/view) describes the LEOKA data as follows:"The UCR Program collects data from all contributing agencies ... on officer line-of-duty deaths and assaults. Reporting agencies must submit data on ... their own duly sworn officers feloniously or accidentally killed or assaulted in the line of duty. The purpose of this data collection is to identify situations in which

  11. National Use-of-Force Data Collection

    • catalog.data.gov
    Updated Nov 14, 2025
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    Federal Bureau of Investigation (2025). National Use-of-Force Data Collection [Dataset]. https://catalog.data.gov/dataset/national-use-of-force-data-collection-2019
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    Dataset updated
    Nov 14, 2025
    Dataset provided by
    Federal Bureau of Investigationhttp://fbi.gov/
    Description

    A publication in which the FBI provides data on law enforcement uses of force that result in the death of a person, serious bodily injury of a person, or when law enforcement discharges a firearm at or in the direction of a person. In addition, law enforcement agencies can indicate months where no incidents meeting the above criteria occurred.

  12. p

    Police Annual Statistical Report - Shooting Occurrences - Dataset - CKAN

    • ckan0.cf.opendata.inter.prod-toronto.ca
    Updated Nov 18, 2020
    + more versions
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    (2020). Police Annual Statistical Report - Shooting Occurrences - Dataset - CKAN [Dataset]. https://ckan0.cf.opendata.inter.prod-toronto.ca/gl_ES/dataset/police-annual-statistical-report-shooting-occurrences
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    Dataset updated
    Nov 18, 2020
    Description

    The Toronto’s Police Service Annual Statistical Report (ASR) is a comprehensive overview of police related statistics including reported crimes, victims of crime, search of persons, firearms, traffic collisions, personnel, budget, communications, public complaints, regulated interactions and other administrative information. This dataset includes all shooting occurrences from 2014 to 2019 by occurred date aggregated by Division. This data includes all shooting-related events reported to the Toronto Police Service, including, but not limited to, those that may have been deemed unfounded after investigation. Data is accurate as of the date and time of reporting. In accordance with the Municipal Freedom of Information and Protection of Privacy Act, the Toronto Police Service has taken the necessary measures to protect the privacy of individuals involved in the reported occurrences. No personal information related to any of the parties involved in the occurrence will be released as open data. The data has been aggregated by year, category, subtype and geographic division. As there is no criminal offence code for shootings, a shooting occurrence number may also be present in other data sets including, but not limited to, assault and robbery. Note: The further breakdown of this information at the event level will be made available in the future releases of the Shootings open data. Shootings in this data set include both firearm discharges and shooting events, which are defined as follows: Shooting Event/Occurrence: Any incident in which a projectile is discharged from a firearm (as defined under the Criminal Code of Canada) and injures a person. This excludes events such as suicide and police involved firearm discharges. Firearm Discharge: Any incident where evidence exists that a projectile was discharged from a firearm (as defined under the Criminal Code of Canada) including accidental discharge (non-police), celebratory fire, drive-by etc. Persons Injured (previously classified as “victims”): A person who was struck by a bullet(s) as a result of the discharge of a firearm (as defined under the Criminal Code of Canada). This excludes events such as suicide, police-involved event or where the weapon used was not a real firearm (such as pellet gun, air pistol, “sim-munition” etc.) Injury Levels Death: Where the injured person (as defined above) has died as a result of injuries sustained from a bullet(s). Injuries: Where the injured person (as defined above) has non-fatal physical injuries as a result of a bullet(s). This data is related to table (ASR-SH-TBL-001) in The Annual Statistical Report. Additional information can be found here.

  13. 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.

  14. N

    2019 collisions

    • data.cityofnewyork.us
    Updated Nov 21, 2025
    + more versions
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    Police Department (NYPD) (2025). 2019 collisions [Dataset]. https://data.cityofnewyork.us/Public-Safety/2019-collisions/rjnm-88k9
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    xml, kmz, application/geo+json, xlsx, csv, kmlAvailable download formats
    Dataset updated
    Nov 21, 2025
    Authors
    Police Department (NYPD)
    Description

    The Motor Vehicle Collisions crash table contains details on the crash event. Each row represents a crash event. The Motor Vehicle Collisions data tables contain information from all police reported motor vehicle collisions in NYC. The police report (MV104-AN) is required to be filled out for collisions where someone is injured or killed, or where there is at least $1000 worth of damage (https://www.nhtsa.gov/sites/nhtsa.dot.gov/files/documents/ny_overlay_mv-104an_rev05_2004.pdf). It should be noted that the data is preliminary and subject to change when the MV-104AN forms are amended based on revised crash details.For the most accurate, up to date statistics on traffic fatalities, please refer to the NYPD Motor Vehicle Collisions page (updated weekly) or Vision Zero View (updated monthly).

    Due to success of the CompStat program, NYPD began to ask how to apply the CompStat principles to other problems. Other than homicides, the fatal incidents with which police have the most contact with the public are fatal traffic collisions. Therefore in April 1998, the Department implemented TrafficStat, which uses the CompStat model to work towards improving traffic safety. Police officers complete form MV-104AN for all vehicle collisions. The MV-104AN is a New York State form that has all of the details of a traffic collision. Before implementing Trafficstat, there was no uniform traffic safety data collection procedure for all of the NYPD precincts. Therefore, the Police Department implemented the Traffic Accident Management System (TAMS) in July 1999 in order to collect traffic data in a uniform method across the City. TAMS required the precincts manually enter a few selected MV-104AN fields to collect very basic intersection traffic crash statistics which included the number of accidents, injuries and fatalities. As the years progressed, there grew a need for additional traffic data so that more detailed analyses could be conducted. The Citywide traffic safety initiative, Vision Zero started in the year 2014. Vision Zero further emphasized the need for the collection of more traffic data in order to work towards the Vision Zero goal, which is to eliminate traffic fatalities. Therefore, the Department in March 2016 replaced the TAMS with the new Finest Online Records Management System (FORMS). FORMS enables the police officers to electronically, using a Department cellphone or computer, enter all of the MV-104AN data fields and stores all of the MV-104AN data fields in the Department’s crime data warehouse. Since all of the MV-104AN data fields are now stored for each traffic collision, detailed traffic safety analyses can be conducted as applicable.

  15. o

    Jacob Kaplan's Concatenated Files: Uniform Crime Reporting (UCR) Program...

    • openicpsr.org
    Updated Jun 1, 2017
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    Jacob Kaplan (2017). Jacob Kaplan's Concatenated Files: Uniform Crime Reporting (UCR) Program Data: Supplementary Homicide Reports, 1976-2019 [Dataset]. http://doi.org/10.3886/E100699V10
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    Dataset updated
    Jun 1, 2017
    Dataset provided by
    University of Pennsylvania. Department of Criminology
    Authors
    Jacob Kaplan
    License

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

    Time period covered
    1976 - 2019
    Area covered
    United States
    Description

    Version 10 release notes:Changes release notes description, does not change data.Version 9 release notes:Adds 2019 data.Version 8 release notes:Adds 2018 data.Changes source of data for years 1985-2018 to be directly from the FBI. 2018 data was received via email from the FBI, 2016-2017 is from the FBI who mailed me a DVD, and 1985-2015 data is from the FBI's Crime Data Explorer site (https://crime-data-explorer.fr.cloud.gov/downloads-and-docs).Adds .csv version of the data.Makes minor changes to value labels for consistency and to fix grammar. Version 7 release notes:Changes project name to avoid confusing this data for the ones done by NACJD.Version 6 release notes:Adds 2017 data.Version 5 release notes:Adds 2016 data.Standardizes the "group" column which categorizes cities and counties by population.Arrange rows in descending order by year and ascending order by ORI. Version 4 release notes: Fix bug where Philadelphia Police Department had incorrect FIPS county code. Version 3 Release Notes:Merges data with LEAIC data to add FIPS codes, census codes, agency type variables, and ORI9 variable.Change column names for relationship variables from offender_n_relation_to_victim_1 to victim_1_relation_to_offender_n to better indicate that all relationship are victim 1's relationship to each offender. Reorder columns.This is a single file containing all data from the Supplementary Homicide Reports from 1976 to 2018. The Supplementary Homicide Report provides detailed information about the victim, offender, and circumstances of the murder. Details include victim and offender age, sex, race, ethnicity (Hispanic/not Hispanic), the weapon used, circumstances of the incident, and the number of both offenders and victims. Years 1976-1984 were downloaded from NACJD, while more recent years are from the FBI. All files came as ASCII+SPSS Setup files and were cleaned using R. The "cleaning" just means that column names were standardized (different years have slightly different spellings for many columns). Standardization of column names is necessary to stack multiple years together. Categorical variables (e.g. state) were also standardized (i.e. fix spelling errors, have terminology be the same across years). The following is the summary of the Supplementary Homicide Report copied from ICPSR's 2015 page for the data.The Uniform Crime Reporting Program Data: Supplementary Homicide Reports (SHR) provide detailed information on criminal homicides reported to the police. These homicides consist of murders; non-negligent killings also called non-negligent manslaughter; and justifiable homicides. UCR Program contributors compile and submit their crime data by one of two means: either directly to the FBI or through their State UCR Programs. State UCR Programs frequently impose mandatory reporting requirements which have been effective in increasing both the number of reporting agencies as well as the number and accuracy of each participating agency's reports. Each agency may be identified by its numeric state code, alpha-numeric agency ("ORI") code, jurisdiction population, and population group. In addition, each homicide incident is identified by month of occurrence and situation type, allowing flexibility in creating aggregations and subsets.

  16. a

    Violent crime and traffic offences causing bodily harm or death, Hamilton...

    • hamiltondatacatalog-mcmaster.hub.arcgis.com
    Updated Jul 17, 2024
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    koke_McMaster (2024). Violent crime and traffic offences causing bodily harm or death, Hamilton CMA, 2021 [Dataset]. https://hamiltondatacatalog-mcmaster.hub.arcgis.com/items/07dcaf9517fb462e854457badaf61b34
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    Dataset updated
    Jul 17, 2024
    Dataset authored and provided by
    koke_McMaster
    Description

    Intimate partner and non-intimate partner victims of police-reported violent crime and traffic offences causing bodily harm or death, by age and gender of victim c (1, 2)Frequency: AnnualTable: 35-10-0202-01Release date: 2023-11-21Geography: Canada, Province or territory, Census metropolitan area, Census metropolitan area partTable Corrections: Date Note On December 10, 2021, the 2019 and 2020 data were revised as a result of corrections made to the populations used to calculate rates per 100 000 population. Footnotes: 1 In general, for police-reported incidents that involve violations against the person, a victim record is collected for each victim involved in the incident. If an individual is a victim in multiple incidents in the same reference year, that individual will be counted as one victim for each incident. Some victims experience violence over a period of time, sometimes years, all of which may be considered by the police to be part of one continuous incident and are counted as a single victim. Victim records are not required for all violent violations, but are accepted, for some violent offences such as uttering threats and criminal harassment. 2 Data are from the Uniform Crime Reporting (UCR2) Trend Database, which contains historical data that permit the analysis of trends since 2009 in the characteristics of incidents, and accused and victim characteristics, such as age, gender and accused–victim relationship. This database includes respondents accounting for 99% of the population of Canada. 3 A census metropolitan area (CMA) consists of one or more neighbouring municipalities situated around a major urban core. A CMA must have a total population of at least 100,000, of which 50,000 or more live in the urban core. To be included in the CMA, other adjacent municipalities must have a high degree of integration with the central urban core, as measured by commuting flows derived from census data. A CMA typically comprises more than one police service. CMA populations have been adjusted to follow policing boundaries. The Oshawa CMA is excluded from this analysis owing to the incongruity between the police service jurisdictional boundaries and the CMA boundaries. Belleville and Lethbridge became CMAs as of the 2016 Census. In 2022, coverage for each CMA was virtually 100%, except in Toronto (90%) and Hamilton (75%). As a result, counts and rates may differ from information from other sources. 4 Victim age is calculated based on the end date of an incident, as reported by the police. Some victims experience violence over a period of time, sometimes years, all of which may be considered by the police to be part of one continuous incident. 5 Excludes the portion of Halton Regional Police Service that polices the Hamilton census metropolitan area. As a result, counts and rates may differ from information from other sources. 6 The category “age of victim unknown” includes victims whose ages were reported as 80 years and older, but were identified as possible instances of miscoding, as well as victims in Quebec whose ages were unknown but were miscoded as 0. 7 Rates are calculated on the basis of 100,000 population in each age and gender group unless otherwise noted for specific relationships. Populations based on July 1 estimates from Statistics Canada, Centre for Demography. Rates for victims with unknown age or unknown gender are not available for any reference period, as population estimates cannot be applied to calculate rates where these elements are unknown. 9 The option for police to code victims as non-binary in the Uniform Crime Reporting (UCR) Survey was implemented in 2018. Given that small counts of victims identified as “non-binary” may exist, the UCR aggregate data available to the public have been recoded to assign these counts to either “male” or “female,” in order to ensure the protection of confidentiality and privacy. Victims identified as non-binary have been assigned to either male or female based on the regional distribution of victims’ gender. 8 Includes victims aged 15 years and older who were victimized by current and former legally married spouses and common-law partners. Also includes victims aged 12 years and older of current and former boyfriends and girlfriends and other intimate relationships (i.e., those with whom they had a sexual relationship but for which none of the other relationship categories apply). Spousal violence victims under the age of 15 years are included in the relationship category “other family.” Victims of non-spousal intimate partner violence under the age of 12 years are included in the relationship category “unknown relationship.” Rates for total victims are based on populations aged 12 years and older. Rates for other victim age groups are calculated on the basis of their corresponding age group populations.

  17. Accidental Deaths & Suicides in India (ADSI)-2019

    • kaggle.com
    zip
    Updated May 12, 2021
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    doctri (2021). Accidental Deaths & Suicides in India (ADSI)-2019 [Dataset]. https://www.kaggle.com/datasets/doctri/accidental-deaths-suicides-in-india-adsi2019
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    zip(116955 bytes)Available download formats
    Dataset updated
    May 12, 2021
    Authors
    doctri
    License

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

    Area covered
    India
    Description

    Context

    Released Under: National Data Sharing and Accessibility Policy (NDSAP)

    Content

    The catalog contains the details of natural & un-natural accidents, traffic accidents and suicides. Major causes of accidental deaths are Traffic accidents, Drowning, Lightning, Heart Attacks, Accidental Fire, Falls, Poisoning. Major causes of Suicides are Family Problems, Illness, Bankruptcy or Indebtedness, with Percentage Variation Age and Gender-wise Distribution, It includes Data of All India Level, The information given in this report is police recorded data which has been obtained through State/UT Police, It includes Total number of Accidental Deaths with Mid-Year Projected Population and Rate of Accidental Deaths.

    For more details about each file, refer the following links.

    Source: https://data.gov.in/catalog/accidental-deaths-suicides-india-adsi-2019 Open Government Data (OGD) Platform India

    Acknowledgements

    Ministry of Home Affairs Department of States National Crime Records Bureau (NCRB)

  18. g

    Ministry of Home Affairs, Department of States, National Crime Records...

    • gimi9.com
    Updated May 9, 2025
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    (2025). Ministry of Home Affairs, Department of States, National Crime Records Bureau (NCRB) - Accidental Deaths & Suicides in India (ADSI) - 2019 | gimi9.com [Dataset]. https://gimi9.com/dataset/in_accidental-deaths-suicides-india-adsi-2019/
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    Dataset updated
    May 9, 2025
    License

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

    Area covered
    India
    Description

    The catalog contains the details of natural & un-natural accidents, traffic accidents and suicides. Major causes of accidental deaths are Traffic accidents, Drowning, Lightning, Heart Attacks, Accidental Fire, Falls, Poisoning. Major causes of Suicides are Family Problems, Illness, Bankruptcy or Indebtedness, with Percentage Variation Age and Gender-wise Distribution, It includes Data of All India Level, The information given in this report is police recorded data which has been obtained through State/UT Police, It includes Total number of Accidental Deaths with Mid-Year Projected Population and Rate of Accidental Deaths.

  19. Brazil: police intervention death rate in Rio 2003-2024

    • statista.com
    Updated Sep 30, 2025
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    Statista (2025). Brazil: police intervention death rate in Rio 2003-2024 [Dataset]. https://www.statista.com/statistics/1007383/police-intervention-death-rate-rio-brazil/
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    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Brazil
    Description

    In 2024, it was estimated that four citizens per 100,000 inhabitants were killed in circumstances related to police operations in the state of Rio de Janeiro, a decrease when compared to the previous year. In 2018 and 2019, the city recorded its highest death rate since 2007.

  20. Rate of police killings in selected countries 2021

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Rate of police killings in selected countries 2021 [Dataset]. https://www.statista.com/statistics/1124039/police-killings-rate-selected-countries/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The rate of civilians killed by police in the Venezuela is far higher than in comparable developed democratic countries, with 1,830 people killed by police per 10 million residents in 2025. This compares to 69 deaths per 10 million residents in Canada, and seven in Australia - perhaps the two most comparable countries to the United States in many respects. Country with the most prisoners The El Salvador is the country with the largest number of prisoners per capita. This suggests either that they have the most criminals, or that the police make more arrests and judges hand down jail as a more frequent punishment. Costa Rica has the highest burglary rate, seeing almost three times as many break-ins as in the United States, for example. Does weapon ownership contribute to higher number of violent attacks? Other factors may also be at play. One such factor may be gun ownership. If police shootings are more likely to happen in states with a higher number of registered weapons, one could argue that the threat of violence against police makes officers more likely to utilize deadly force. However, countries like Canada also have a high number of individual firearms licenses, indicating that this factor likely does not explain the entire effect. Social factors may also influence this statistic, such as the use of the death penalty. Still, each fatal incident is complex, and the full situation surrounding each involves many factors, meaning that a simple solution is unlikely.

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Statista (2020). Number of law enforcement officers killed by gender U.S. 2010-2019 [Dataset]. https://www.statista.com/statistics/1126874/number-law-enforcement-officers-killed-us-gender/
Organization logo

Number of law enforcement officers killed by gender U.S. 2010-2019

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Dataset updated
Jun 18, 2020
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

From 2010 to 2019, the number of male law enforcement officers killed in the United States has greatly exceeded the number of female law enforcement officers. In 2019, ** male law enforcement officers were killed while ***** female law enforcement officers were killed.

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