An annual publication in which the FBI provides data on the number of incidents, offenses, victims, and offenders in reported crimes that were motivated in whole or in part by a bias against the victim as perceived race, religion, sexual orientation, ethnicity, gender, disability, and gender identity.
In 2023, there were ***** incidents of hate crimes for which the motivation was anti-Black or African American sentiment, making it the leading cause of hate crimes in the United States in that year. A further ***** hate crimes had an anti-Jewish motivation, and ***** had an anti-gay male motivation.
In response to a growing concern about hate crimes, the United States Congress enacted the Hate Crime Statistics Act of 1990. The Act requires the attorney general to establish guidelines and collect, as part of the Uniform Crime Reporting (UCR) Program, data "about crimes that manifest evidence of prejudice based on race, religion, sexual orientation, or ethnicity, including where appropriate the crimes of murder and non-negligent manslaughter, forcible rape, aggravated assault, simple assault, intimidation, arson, and destruction, damage or vandalism of property." Hate crime data collection was required by the Act to begin in calendar year 1990 and to continue for four successive years. In September 1994, the Violent Crime Control and Law Enforcement Act amended the Hate Crime Statistics Act to add disabilities, both physical and mental, as factors that could be considered a basis for hate crimes. Although the Act originally mandated data collection for five years, the Church Arson Prevention Act of 1996 amended the collection duration "for each calendar year," making hate crime statistics a permanent addition to the UCR program. As with the other UCR data, law enforcement agencies contribute reports either directly or through their state reporting programs. Information contained in the data includes number of victims and offenders involved in each hate crime incident, type of victims, bias motivation, offense type, and location type.
In 2023, ***** hate crime offenses were reported in California, the most out of any state. New Jersey, New York, Washington, and Massachusetts rounded out the top five states for hate crime offenses in that year.
Police-reported hate crime, by type of motivation (race or ethnicity, religion, sexual orientation, language, disability, sex, age), selected regions and Canada (selected police services), 2014 to 2024.
This is an Official Statistics bulletin produced by statisticians in the Home Office, Ministry of Justice and the Office for National Statistics. It brings together a range of official statistics on hate crime from across the crime and criminal justice system, as well as the Crime Survey for England and Wales (CSEW).
Including data from various sources in a joint publication makes it easier for users to find the information they need without having to compile it from different statistical publications. This publication allows the Government and users to examine the levels of hate crime and reporting and patterns of offending and will help Police and Crime Commissioners, police forces and other criminal justice agencies to focus their resources appropriately.
Hate crime is defined as ‘any criminal offence which is perceived, by the victim or any other person, to be motivated by a hostility or prejudice towards someone based on a personal characteristic’. The five monitored strands are race, religion/faith, sexual orientation, disability, and gender-identity. Crimes based on hostility to age, gender, or appearance, for example, can also be hate crimes, although they are not part of the five centrally monitored strands.
The report provides estimates from the CSEW on the level of hate crime in England and Wales, as well as information on the victims’ experience of hate crime and whether they told the police about the hate crimes.
Information from the police covers the number of crimes which were ‘flagged’ by the police, during the process of recording crime, as being motivated by one or more of the five centrally monitored strands, how the police dealt these offences, and what types of hate crime offences the police recorded.
More detailed information is available for racially or religiously aggravated offences, as defined by statute, which form a subset of total police recorded ‘flagged’ hate crimes. Information is presented from police recording through to court outcomes, including sentences handed out in court. These aggravated offences accounted for over 80 per cent of the racially or religiously motivated ‘flagged’ hate crimes recorded by the police in 2012 to 2013.
This dataset contains detailed information on cases where a hate or bias crime has been reported to the Bloomington Police Department. Hate crimes are criminal offenses motivated by bias against race, religion, ethnicity, sexual orientation, gender identity, or other protected characteristics. This dataset provides insights into the nature and demographics of hate crimes in Bloomington, aiding in understanding and addressing these incidents.
The dataset includes the following columns:
Column Name | Description | API Field Name | Data Type |
---|---|---|---|
case_number | Case Number | case_number | Text |
date | Date | date | Floating Timestamp |
weekday | Day of Week | day_of_week | Text |
victims | Total Number of Victims | victims | Number |
victim_race | Victim Race | victim_race | Text |
victim_gender | Victim Gender | victim_gender | Text |
victim_type | Victim Type | victim_type | Text |
offenders | Total Number of Offenders | offenders | Number |
offender_race | Offender Race | offender_race | Text |
offender_gender | Offender Gender | offender_gender | Text |
offense | Offense / Crime | offense | Text |
location_type | Offense / Crime Location Type | location_type | Text |
motivation | Offense/Crime Bias Motivation | motivation | Text |
This dataset can be used for:
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset contains demographic information related to reported hate crimes within the jurisdiction of the Anderson Police Department. The data includes details on both victims and alleged perpetrators, with demographic variables such as age, gender, and race/ethnicity. The types of hate crimes covered in the dataset are based on classifications in accordance with relevant local and federal hate crime definitions.
The dataset was obtained through a Public Records Act request and covers the time period from January 1st 2023 through December 31st 2023. This agency had no Hate Crimes to report in 2022. It was provided in MS Word format, where each row represents a unique hate crime incident and the columns capture demographic and other related variables.
Anti-Jewish attacks were the most common form of anti-religious group hate crimes in the United States in 2023, with ***** cases. Anti-Islamic hate crimes were the second most common anti-religious hate crimes in that year, with *** incidents.
Police-reported hate crime, number of incidents and rate per 100,000 population, Census Metropolitan Areas and Canadian Forces Military Police, 2014 to 2023.
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.
Most hate crimes reported in India were targeted towards Dalits between September 2015 and December 2019. Muslims followed as targets during that time period. A total of 902 crimes were reported to because of alleged hate - varying from caste, religion to honor killing and love jihad.
In 2023, ***** people fell victim to hate crimes in the United States for which the motivation was race, ethnicity, and/or ancestry. In total, there were ****** hate crime victims across the country in that year.
In 2023, the FBI knew of ***** perpetrators of anti-Black or African American hate crimes conducted in the United States in that year. Furthermore, another *** perpetrators of anti-White hate crimes were known to the FBI in that year.
In 2023, there were ***** victims of anti-Black or African American hate crimes in the United States, making it the racially motivated hate crime with the most victims in that year. The second most common racially motivated hate crime, anti-Hispanic or Latino crimes, had ***** victims in that year.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
In the year ending in March 2024, 31.3% of victims of racially or religiously aggravated hate crime were Asian, 30.6% were White, and 23.1% were Black.
https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions
This dataset contains the yearly statistics on the victim types by bias motivation. Major categories of victim types include individuals, government, business/financial institution, religious organization, society/public and other or multiple victims. Major categories of bias motivations include Race/Ethnicity/Ancestry, Religion, Sexual Orientation, Disability, Gender and Gender Identity.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
For any questions about this data please email me at jacob@crimedatatool.com. If you use this data, please cite it.Version 5 release notes:Adds data in the following formats: SPSS, SAS, and Excel.Changes project name to avoid confusing this data for the ones done by NACJD.Adds data for 1991.Fixes bug where bias motivation "anti-lesbian, gay, bisexual, or transgender, mixed group (lgbt)" was labeled "anti-homosexual (gay and lesbian)" prior to 2013 causing there to be two columns and zero values for years with the wrong label.All data is now directly from the FBI, not NACJD. The data initially comes as ASCII+SPSS Setup files and read into R using the package asciiSetupReader. All work to clean the data and save it in various file formats was also done in R. For the R code used to clean this data, see here. https://github.com/jacobkap/crime_data. Version 4 release notes: Adds data for 2017.Adds rows that submitted a zero-report (i.e. that agency reported no hate crimes in the year). This is for all years 1992-2017. Made changes to categorical variables (e.g. bias motivation columns) to make categories consistent over time. Different years had slightly different names (e.g. 'anti-am indian' and 'anti-american indian') which I made consistent. Made the 'population' column which is the total population in that agency. Version 3 release notes: Adds data for 2016.Order rows by year (descending) and ORI.Version 2 release notes: Fix bug where Philadelphia Police Department had incorrect FIPS county code. The Hate Crime data is an FBI data set that is part of the annual Uniform Crime Reporting (UCR) Program data. This data contains information about hate crimes reported in the United States. Please note that the files are quite large and may take some time to open.Each row indicates a hate crime incident for an agency in a given year. I have made a unique ID column ("unique_id") by combining the year, agency ORI9 (the 9 character Originating Identifier code), and incident number columns together. Each column is a variable related to that incident or to the reporting agency. Some of the important columns are the incident date, what crime occurred (up to 10 crimes), the number of victims for each of these crimes, the bias motivation for each of these crimes, and the location of each crime. It also includes the total number of victims, total number of offenders, and race of offenders (as a group). Finally, it has a number of columns indicating if the victim for each offense was a certain type of victim or not (e.g. individual victim, business victim religious victim, etc.). The only changes I made to the data are the following. Minor changes to column names to make all column names 32 characters or fewer (so it can be saved in a Stata format), changed the name of some UCR offense codes (e.g. from "agg asslt" to "aggravated assault"), made all character values lower case, reordered columns. I also added state, county, and place FIPS code from the LEAIC (crosswalk) and generated incident month, weekday, and month-day variables from the incident date variable included in the original data.
In 2023, there were ***** victims of anti-Jewish hate crimes in the United States, making it the type of anti-religious hate crime with the most victims in that year. Anti-Islamic hate crime victims were the second most common, with *** victims in 2023.
In 2023, the FBI knew of ***** people who perpetrated hate crimes in the United States motivated by race, ethnicity and/or ancestry. A further ***** known hate crime offenders were motivated by the sexual orientation of their victims.
An annual publication in which the FBI provides data on the number of incidents, offenses, victims, and offenders in reported crimes that were motivated in whole or in part by a bias against the victim as perceived race, religion, sexual orientation, ethnicity, gender, disability, and gender identity.