Investigator(s): Federal Bureau of Investigation Since 1930, the Federal Bureau of Investigation (FBI) has compiled the Uniform Crime Reports (UCR) to serve as periodic nationwide assessments of reported crimes not available elsewhere in the criminal justice system. With the 1977 data, the title was expanded to Uniform Crime Reporting Program Data. Each year, participating law enforcement agencies contribute reports to the FBI either directly or through their state reporting programs. ICPSR archives the UCR data as five separate components: (1) summary data, (2) county-level data, (3) incident-level data (National Incident-Based Reporting System [NIBRS]), (4) hate crime data, and (5) various, mostly nonrecurring, data collections. Summary data are reported in four types of files: (a) Offenses Known and Clearances by Arrest, (b) Property Stolen and Recovered, (c) Supplementary Homicide Reports (SHR), and (d) Police Employee (LEOKA) Data (Law Enforcement Officers Killed or Assaulted). The county-level data provide counts of arrests and offenses aggregated to the county level. County populations are also reported. In the late 1970s, new ways to look at crime were studied. The UCR program was subsequently expanded to capture incident-level data with the implementation of the National Incident-Based Reporting System. The NIBRS data focus on various aspects of a crime incident. The gathering of hate crime data by the UCR program was begun in 1990. Hate crimes are defined as crimes that manifest evidence of prejudice based on race, religion, sexual orientation, or ethnicity. In September 1994, disabilities, both physical and mental, were added to the list. The fifth component of ICPSR's UCR holdings is comprised of various collections, many of which are nonrecurring and prepared by individual researchers. These collections go beyond the scope of the standard UCR collections provided by the FBI, either by including data for a range of years or by focusing on other aspects of analysis. NACJD has produced resource guides on UCR and on NIBRS data.

A dataset of crimes that occurred in the designated time period that are being investigated as hate crimes. In APD's opinion these cases have met the FBI's definition of a hate crime, as well as the State's and Federal Law's definition of a hate crime. The ultimate decision to prosecute lies with the appropriate County District Attorney. AUSTIN POLICE DEPARTMENT DATA DISCLAIMER 1. The data provided are for informational use only and may differ from official APD crime data. 2. APD’s crime database is continuously updated, so reports run at different times may produce different results. Care should be taken when comparing against other reports as different data collection methods and different data sources may have been used. 3. The Austin Police Department does not assume any liability for any decision made or action taken or not taken by the recipient in reliance upon any information or data provided. In APD's opinion these cases have met the FBI's definition as well as the State's definition and Federal hate crime law of a hate crime and are being investigated as such. The ultimate decision to prosecute lies with the appropriate County District Attorney.

The Hate Crime Statistics dataset provides annual statistics on the number of incidents, offenses, victims, and offenders in reported crimes that are motivated in whole, or in part, by an offender’s bias against the victim’s perceived race, gender, gender identity, religion, disability, sexual orientation, or ethnicity. Hate crime data is captured by indicating the element of bias present in offenses already being reported to the UCR Program.

All law enforcement agencies, whether they submit Summary Reporting System (SRS) or National Incident-Based Reporting System (NIBRS) reports, can contribute hate crime data to the UCR Program using forms specified to collect such information.

Please see the UCR resources provided by the FBI for for more information on hate crime. Download this dataset to see totals for hate crimes across the country from 1991–2014.

This dataset includes all verified Hate Crime occurrences investigated by the Hate Crime Unit by reported date since 2018. The Hate Crime categories (bias categories) include Age, Mental or Physical Disability, Race, Ethnicity, Language, Religion, Sexual Orientation, Gender and Other Similar Factor. This data is provided at the offence and/or occurrence level, therefore one occurrence may have multi-bias categories associated to the victim used to categorize the hate crime. Hate Crimes Dashboard Download Documentation Definitions:Hate CrimeA hate crime is a criminal offence committed against a person or property motivated in whole or in part by bias, prejudice or hate based on race, national or ethnic origin, language, colour, religion, sex, age, mental or physical disability, sexual orientation or gender identity or expression or any other similar factor. Hate IncidentA hate incident is a non-criminal action or behaviour that is motivated by hate against an identifiable group. Examples of hate incidents include using racial slurs, or insulting a person because of their ethnic or religious dress or how they identify. This data only includes confirmed hate crimes. This data does not include occurrences that have been deemed unfounded or classified as hate incidents. The definition of unfounded according to Statistics Canada is: “It has been determined through police investigation that the offence reported did not occur, nor was it attempted” (Statistics Canada, 2020).** The dataset is intended to provide communities with information regarding public safety and awareness. The location of Hate Crime occurrences have been grouped to the neighbourhood level to protect the privacy of parties and communities involved in the occurrence. The downloadable datasets display the REPORT_DATE and OCCURRENCE_DATE fields in UTC timezone. By accessing these datasets, the user agrees to full acknowledgement of the Open Government Licence - Ontario. 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. For additional context, please refer to the Hate/Bias Crime Statistical Report, available through the Toronto Police Service Resource Centre.** Statistics Canada. 2020. Uniform Crime Reporting Manual. Surveys and Statistical Programs. Canadian Centre for Justice Statistics.

Version 9 release notes:Adds 2022 dataVersion 8 release notes:Fixes issue where 2021 Property Segment data was excluded. Thank you to Uriel Lomeli for telling me about this issue.Version 7 release notes:Adds 2021 data.Version 6 release notes:Adds batch header segments for all years. Version 5 release notes:Adds 2020 dataVersion 4 release notes:Fix bug where most years had arrestee and property were incorrectly window arrestee and window property segments.Changes R files from .rda to .rds.Version 3 release notes:Adds 2019 dataVersion 2 release notes:Changes release notes description, does not change data.These data are the FBI's National Incident-Based Reporting System (NIBRS) data for years 1991-2018. NIBRS data are incident-level data that have highly detailed information for each crime that is reported to the police agency. This data has 10 segments. Each segment has different data about the crime. AdministrativeBasic information about the crime incident - this is basically metadata about the other segments for this crime. This includes the date of the crime, the number of offense segments, the number of victim segments, the number of offender segments, the number of arrestee segments, if the crime was cleared exceptionally and (if it was) what date it was cleared. ArresteeArrestee-level information for those who are arrested. This includes demographics (age, sex, race, ethnicity), the date of the arrest (can be different than the date of the crime), what weapon (if any) was used, and the outcome of the case if the arrestee was a juvenile. Group B Arrest ReportsArrestee-level information for those who are arrested for Group B crimes. This includes the same variables as the arrestee segment. OffenderOffender-level information for each offender. Includes offender demographics (age, sex, race, ethnicity).OffenseDetailed information about each crime. Includes the weapon used (if any), the location of the crime, if the offender was intoxicated (including drugs and alcohol), and what their bias motivation (if any) was (if there is one, this would be considered a hate crime). PropertyInformation about property involved in the crime (i.e. drugs or stolen property). This includes the value of the property, what type of the property it was, when it was recovered. For drugs, this includes the drug and its quantity. VictimVictim-level information for each victim of a crime. Includes victim demographics (age, sex, race, ethnicity), injury, and relationship to the offender(s).Window ArresteeWindows segments have the same columns as their non-window counterparts and are incidents that occurred prior to the year of data or prior to when the agency started reporting to NIBRS.Window Exceptional ClearanceWindows segments have the same columns as their non-window counterparts and are incidents that occurred prior to the year of data or prior to when the agency started reporting to NIBRS.Window PropertyWindows segments have the same columns as their non-window counterparts and are incidents that occurred prior to the year of data or prior to when the agency started reporting to NIBRS.Due to the large file size, each year is its own file. All segment headers are available except for the batch headers. What I did here was read the data into R and save it as R and Stata files. No other changes to the data were made. The data was downloaded as NIBRS Master Files for each year from the FBI's Crime Data Explorer website - https://crime-data-explorer.fr.cloud.gov/downloads-and-docs.

Version 11 release notes:Adds 2023-2024 dataMakes some changes to offense description (e.g. change description of "fondling") and victim-offender relationship values to be consistent with FBI changes. This affects all years, not just 2023-2024.Adds .parquet file formats. Version 10 release notes:Updates 2021 Property Segment and Window Recovered Property Segment to fix issue in older version of FBI data where the drug type column incorrectly had the values of the quantity unit column, which then made every subsequent column incorrect. This led to strange behavior such as zero marijuana values and an incredibly high number of opium values because opium has the value of "G" and "GM" for gram is extremely common as a quantity unit. This was an error in the FBI Master File I downloaded shortly after the 2021 data was released and was fixed when I downloaded the current version of the file which has a date of 8/17/2023 in the zip file. Both files were downloaded from the FBI's Crime Data Explorer website. Thank you to Roland Neil for informing me about this issue. Version 9 release notes:Adds 2022 dataVersion 8 release notes:Fixes issue where 2021 Property Segment data was excluded. Thank you to Uriel Lomeli for telling me about this issue.Version 7 release notes:Adds 2021 data.Version 6 release notes:Adds batch header segments for all years. Version 5 release notes:Adds 2020 dataVersion 4 release notes:Fix bug where most years had arrestee and property were incorrectly window arrestee and window property segments.Changes R files from .rda to .rds.Version 3 release notes:Adds 2019 dataVersion 2 release notes:Changes release notes description, does not change data.These data are the FBI's National Incident-Based Reporting System (NIBRS) data for years 1991-2018. NIBRS data are incident-level data that have highly detailed information for each crime that is reported to the police agency. This data has 10 segments. Each segment has different data about the crime. AdministrativeBasic information about the crime incident - this is basically metadata about the other segments for this crime. This includes the date of the crime, the number of offense segments, the number of victim segments, the number of offender segments, the number of arrestee segments, if the crime was cleared exceptionally and (if it was) what date it was cleared. ArresteeArrestee-level information for those who are arrested. This includes demographics (age, sex, race, ethnicity), the date of the arrest (can be different than the date of the crime), what weapon (if any) was used, and the outcome of the case if the arrestee was a juvenile. Group B Arrest ReportsArrestee-level information for those who are arrested for Group B crimes. This includes the same variables as the arrestee segment. OffenderOffender-level information for each offender. Includes offender demographics (age, sex, race, ethnicity).OffenseDetailed information about each crime. Includes the weapon used (if any), the location of the crime, if the offender was intoxicated (including drugs and alcohol), and what their bias motivation (if any) was (if there is one, this would be considered a hate crime). PropertyInformation about property involved in the crime (i.e. drugs or stolen property). This includes the value of the property, what type of the property it was, when it was recovered. For drugs, this includes the drug and its quantity. VictimVictim-level information for each victim of a crime. Includes victim demographics (age, sex, race, ethnicity), injury, and relationship to the offender(s).Window ArresteeWindows segments have the same columns as their non-window counterparts and are incidents that occurred prior to the year of data or prior to when the agency started reporting to NIBRS.Window Exceptional ClearanceWindows segments have the same columns as their non-window counterparts and are incidents that occurred prior to the year of data or prior to when the agency started reporting to NIBRS.Window PropertyWindows segments have the same columns as their non-window counterparts and are incidents that occurred prior to the year of data or prior to when the agency started reporting to NIBRS.Due to the large file size, each year is its own file. All segment headers are available except for the batch headers. What I did here was read the data into R and save it as R and