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.

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.

!!!WARNING~~~This dataset has a large number of flaws and is unable to properly answer many questions that people generally use it to answer, such as whether national hate crimes are changing (or at least they use the data so improperly that they get the wrong answer). A large number of people using this data (academics, advocates, reporting, US Congress) do so inappropriately and get the wrong answer to their questions as a result. Indeed, many published papers using this data should be retracted. Before using this data I highly recommend that you thoroughly read my book on UCR data, particularly the chapter on hate crimes (https://ucrbook.com/hate-crimes.html) as well as the FBI's own manual on this data. The questions you could potentially answer well are relatively narrow and generally exclude any causal relationships. ~~~WARNING!!!For a comprehensive guide to this data and other UCR data, please see my book at ucrbook.comVersion 12 release notes:Adds .parquet file formatVersion 11 release notes:Adds 2023-2024 dataVersion 10 release notes:Adds 2022 dataVersion 9 release notes:Adds 2021 data.Version 8 release notes:Adds 2019 and 2020 data. Please note that the FBI has retired UCR data ending in 2020 data so this will be the last UCR hate crime data they release. Changes .rda file to .rds.Version 7 release notes:Changes release notes description, does not change data.Version 6 release notes:Adds 2018 dataVersion 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. 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), made all character values lower case, reordered columns. I also generated incident month, weekday, and month-day variables from the incident date variable included in the original data.

Police-reported hate crime, number of incidents and rate per 100,000 population, Census Metropolitan Areas and Canadian Forces Military Police, 2014 to 2024.

This dataset provides criminal and non-criminal incidents motivated by hate or bias from the year 2018 to 2024.For privacy reasons, the specific locations of the occurrences have been removed and their generic location areas like Neighbourhood, Sector, Division, and Census Tract are provided. The crime statistics published are accurate on the day that they were produced. Due to ongoing police investigations and internal data quality control efforts, this information is subject to change, including addition, deletion and reclassification of any and all data. Date created: June 20th, 2023 Date updated: May 22nd, 2025Update frequency: Annually Accuracy: The Ottawa Police provides this information in good faith but provides no warranty, nor accepts any liability arising from any incorrect, incomplete or misleading information or its improper use. Attributes: 1. ID2. Year3. Reported Date4. Occurred Date5. Weekday6. Hate Crime Type7. Hate Crime Motivation8. Hate Crime Status9. Offence Category10. Neighbourhood11. Sector12. Division13. Census Tract14. Ward15. Councillor16. Offence Type

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.

In 2023, the violent crime rate in the United States was 363.8 cases per 100,000 of the population. Even though the violent crime rate has been decreasing since 1990, the United States tops the ranking of countries with the most prisoners. In addition, due to the FBI's transition to a new crime reporting system in which law enforcement agencies voluntarily submit crime reports, data may not accurately reflect the total number of crimes committed in recent years. Reported violent crime rate in the United States The United States Federal Bureau of Investigation tracks the rate of reported violent crimes per 100,000 U.S. inhabitants. In the timeline above, rates are shown starting in 1990. The rate of reported violent crime has fallen since a high of 758.20 reported crimes in 1991 to a low of 363.6 reported violent crimes in 2014. In 2023, there were around 1.22 million violent crimes reported to the FBI in the United States. This number can be compared to the total number of property crimes, roughly 6.41 million that year. Of violent crimes in 2023, aggravated assaults were the most common offenses in the United States, while homicide offenses were the least common. Law enforcement officers and crime clearance Though the violent crime rate was down in 2013, the number of law enforcement officers also fell. Between 2005 and 2009, the number of law enforcement officers in the United States rose from around 673,100 to 708,800. However, since 2009, the number of officers fell to a low of 626,900 officers in 2013. The number of law enforcement officers has since grown, reaching 720,652 in 2023. In 2023, the crime clearance rate in the U.S. was highest for murder and non-negligent manslaughter charges, with around 57.8 percent of murders being solved by investigators and a suspect being charged with the crime. Additionally, roughly 46.1 percent of aggravated assaults were cleared in that year. A statistics report on violent crime in the U.S. can be found here.

Police recorded crime figures by Police Force Area and Community Safety Partnership areas (which equate in the majority of instances, to local authorities).

The data used in the MPS Crime Dashboard is available here MPS Crime Dashboard | Metropolitan Police, along with the related data definitions. Please note that datasets are updated monthly on the 6th of the month. Data runs until the end of the month prior.

***April 2025: The Metropolitan Police Service reviewed their recording of offences where a knife or sharp instrument has been used from April 2024 onwards.

This has shown over counting for some crime types and under counting for others. These records have been corrected which has resulted in a small overall increase in crimes that have been enabled by the use or threat of a knife or sharp instrument and a small reduction in offences resulting in an injury.

Data may therefore not match earlier publications.

Previous years’ data has not been revised therefore corrected data is not directly comparable with previous years.

The offences which are included within the Knife or sharp instrument collection are specified by the Home Office. They include robbery, homicide, assault, sexual offences and threats to kill where a knife or sharp instrument has been used to threaten or to cause injury .***

***June 2024: The MPS monthly crime data-sets are now being extracted and compiled from the new CONNECT system within the MPS; these data-sets will have prefix M1045 added to the file name.***

The Metropolitan Police Service (MPS) has introduced CONNECT, a new crime recording system that consolidates several previous systems into one integrated platform. This change aims to streamline processes and enhance efficiency across the board.

At the end of February 2024 the MPS started using CONNECT to record crime and investigation data. There is a difference in how Hate Crime and Domestic Abuse are recorded on CONNECT compared with the legacy crime recording system of CRIS and for this reason, Hate Crime and Domestic Abuse figures pre an post March are not comparable.

BCU and Borough data in CONNECT are determined by the geographic location of the incident, rather than the borough managing the case, as was the case with legacy systems. This new approach has been retroactively applied to legacy data to provide consistent and comparable analysis.

NB The datasets include breakdowns by two geography types: 'Borough' and 'Safer Neighbourhood Team (SNT)', as indicated in the 'Area Type' column. Double counting may result if you do not account for this is when using the datasets.

Total Notifiable Offence (TNO) data follows the Home Office counting rules for recorded crime (https://www.gov.uk/government/publications/counting-rules-for-recorded-crime ). NB This data-set includes “Other Accepted Crime”, which are non-notifiable crimes and must be excluded if calculating a TNO total.

The “Other Crime” offence data follows the Home Office counting rules but have been grouped by specific features (e.g. Knife Crime): please see dashboard for definitions. NB "Hate Crime" totals do NOT include records that are flagged solely as 'domestic abuse'.

Measures include Offences, Positive Outcomes, and the Positive Outcome Rate (total number of positive outcomes divided by the total number of offences in a given period).

Knife Crime Offences {date-set produced from September 2025}

From September 2025, all Knife Crime data will align with the Home Office NDQIS process for checking knife crime data quality. From that point, new ‘Knife Crime’ data sets will be refreshed and uploaded on/by the 17^th.

All data is broken down by financial year for each crime type.

The data used in the MPS Business Crime dashboard is available here Business crime | Metropolitan Police, along with the related data definitions.

Please note that, this dataset is updated monthly at the beginning of the month. Data runs until the end of the month prior.

***June 2024: The business crime data-sets are now being extracted and compiled from the new CONNECT system within the MPS; these data-sets will have prefix M1046 added to the file name.***

The Metropolitan Police Service (MPS) has introduced CONNECT, a new crime recording system that consolidates several previous systems into one integrated platform. This change aims to streamline processes and enhance efficiency across the board.

With the implementation of CONNECT, there have been slight modifications in the recording of specific crime categories, such as hate crime. These adjustments may result in minor variations in crime data when compared to the pre-CONNECT era. To provide a comprehensive view of the data, the MPS has regenerated the full report to cover the entire time period.

BCU and Borough data in CONNECT are determined by the geographic location of the incident, rather than the borough managing the case, as was the case with legacy systems. This new approach has been retroactively applied to legacy data to provide consistent and comparable analysis.

Business Crime is defined by the National Business Crime Forum (NBCF), the Home Office, and the National Retail Crime Steering Group (NRCSG), chaired by the minister for crime prevention as:

“Any criminal offence that is committed against a person or property which is associated by the connection of that person or property to a business.”

The approach reflects the existing definitions for domestic abuse and hate crime. This means that the victim will determine whether or not the crime has had an impact on a business and, therefore, whether it should be identified as a business crime. This removes any ambiguity about how the crime should be recorded.

Not all business crime will be immediately identified as such by the victim or others. For example, an assault in a nightclub might not be identified as a business crime by the victim because they are more likely to perceive it as a personal attack, e.g. motivated by domestic abuse or hate related hostility.

Irrespective of the nature of the offending, if the offence took place on business premises it should additionally be recorded as a business crime. This is because criminal offending of any type on business premises may have a negative impact on the business, e.g. increased insurance premiums or, as in the case of the nightclub assault, adverse impact on whether the nightclub’s license is renewed (e.g. too many assault have taken place at that venue).

Further details can be found on the National Business Crime Centre website here:

https://nbcc.police.uk/

In England and Wales there were ****** police recorded disability hate crime incidents in the 2023/24 reporting year, compared with ****** in the previous year.