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 the United States, a number of challenges prevent an accurate assessment of the prevalence of hate crimes in different areas of the country. These challenges create huge gaps in knowledge about hate crime--who is targeted, how, and in what areas--which in turn hinder appropriate policy efforts and allocation of resources to the prevention of hate crime. In the absence of high-quality hate crime data, online platforms may provide information that can contribute to a more accurate estimate of the risk of hate crimes in certain places and against certain groups of people. Data on social media posts that use hate speech or internet search terms related to hate against specific groups has the potential to enhance and facilitate timely understanding of what is happening offline, outside of traditional monitoring (e.g., police crime reports). This study assessed the utility of Twitter data to illuminate the prevalence of hate crimes in the United States with the goals of (i) addressing the lack of reliable knowledge about hate crime prevalence in the U.S. by (ii) identifying and analyzing online hate speech and (iii) examining the links between the online hate speech and offline hate crimes. The project drew on four types of data: recorded hate crime data, social media data, census data, and data on hate crime risk factors. An ecological framework and Poisson regression models were adopted to study the explicit link between hate speech online and hate crimes offline. Risk terrain modeling (RTM) was used to further assess the ability to identify places at higher risk of hate crimes offline.

During the fourth quarter of 2024, Facebook removed 5.8 million pieces of hate speech content, down from 6.4 million in the previous quarter. Between April and June 2021, the social network removed a record number of over 31 million pieces of hate speech. Bullying and harassment content is also present on Facebook.

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.

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.

As of 2020, ** percent of Finns said that they had seen hateful messages attacking a person or group on social media. Based on survey results, young people had witnessed hate speech on social media more often than older age groups in Finland. During the survey period, ** percent of ** to 24-year-olds and ** percent of ** to 34-year-olds had seen hate speech on social media in the last three months.

The Tempe Police Department prides itself in its continued efforts to reduce harm within the community and is providing this dataset on hate crime incidents that occur in Tempe.The Tempe Police Department documents the type of bias that motivated a hate crime according to those categories established by the FBI. These include crimes motivated by biases based on race and ethnicity, religion, sexual orientation, disability, gender and gender identity.The Bias Type categories provided in the data come from the Bias Motivation Categories as defined in the Federal Bureau of Investigation (FBI) National Incident-Based Reporting System (NIBRS) manual, version 2020.1 dated 4/15/2021. The FBI NIBRS manual can be found at https://www.fbi.gov/file-repository/ucr/ucr-2019-1-nibrs-user-manua-093020.pdf with the Bias Motivation Categories found on pages 78-79.Although data is updated monthly, there is a delay by one month to allow for data validation and submission.Information about Tempe Police Department's collection and reporting process for possible hate crimes is included in https://storymaps.arcgis.com/stories/a963e97ca3494bfc8cd66d593eebabaf.Additional InformationSource: Data are from the Law Enforcement Records Management System (RMS)Contact: Angelique BeltranContact E-Mail: angelique_beltran@tempe.govData Source Type: TabularPreparation Method: Data from the Law Enforcement Records Management System (RMS) are entered by the Tempe Police Department into a GIS mapping system, which automatically publishes to open data.Publish Frequency: MonthlyPublish Method: New data entries are automatically published to open data. Data Dictionary

In the third quarter of 2023, hate speech content on Meta's Facebook had a prevalence rate of 0.02 percent. For every 10,000 content views on the social media platform, about two pieces of content would contain hate speech. Overall, the prevalence of what Facebook considers to be hate speech has remained steady since the first quarter of 2022.

In the third quarter of 2023, Instagram took action on seven million pieces of hate speech content on the platform, down from 9.8 million such content actions in the preceding quarter. In Q3 2023, Facebook removed 9.6 million pieces of hate speech.

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.

According to a study conducted in August 2023, 86 percent of posts on X (formerly Twitter) that were reported for containing hate speech were still hosted by the platform. Additionally, 90 percent of X accounts that were publishing hate speech posts were still active.

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

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.

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.

A. SUMMARY These data represent hate crimes reported by the SFPD to the California Department of Justice. Read the detailed overview of this dataset here. What is a Hate Crime? A hate crime is a crime against a person, group, or property motivated by the victim's real or perceived protected social group. An individual may be the victim of a hate crime if they have been targeted because of their actual or perceived: (1) disability, (2) gender, (3) nationality, (4) race or ethnicity, (5) religion, (6) sexual orientation, and/or (7) association with a person or group with one or more of these actual or perceived characteristics. Hate crimes are serious crimes that may result in imprisonment or jail time. B. HOW THE DATASET IS CREATED How is a Hate Crime Processed? Not all prejudice incidents including the utterance of hate speech rise to the level of a hate crime. The U.S. Constitution allows hate speech if it does not interfere with the civil rights of others. While these acts are certainly hurtful, they do not rise to the level of criminal violations and thus may not be prosecuted. When a prejudice incident is reported, the reporting officer conducts a preliminary investigation and writes a crime or incident report. Bigotry must be the central motivation for an incident to be determined to be a hate crime. In that report, all facts such as verbatims or statements that occurred before or after the incident and characteristics such as the race, ethnicity, sex, religion, or sexual orientations of the victim and suspect (if known) are included. To classify a prejudice incident, the San Francisco Police Department’s Hate Crimes Unit of the Special Investigations Division conducts an analysis of the incident report to determine if the incident falls under the definition of a “hate crime” as defined by state law. California Penal Code 422.55 - Hate Crime Definition C. UPDATE PROCESS These data are updated monthly. D. HOW TO USE THIS DATASET This dataset includes the following information about each incident: the hate crime offense, bias type, location/time, and the number of hate crime victims and suspects. The data presented mirrors data published by the California Department of Justice, albeit at a higher frequency. The publishing of these data meet requirements set forth in PC 13023. E. RELATED DATASETS California Department of Justice - Hate Crimes Info California Department of Justice - Hate Crimes Data

Hate crimes reported to the San Diego Police Department. A hate crime is a criminal act or attempted criminal act motivated by hatred based on race, ethnicity, religion, gender, sexual orientation, national origin, physical or mental disability or association with a person or group with one or more of these actual or perceived characteristics.

Analysis of ‘Hate Crime Statistics’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/2014-hate-crime-statisticse on 13 February 2022.

--- Dataset description provided by original source is as follows ---

About this dataset

The Uniform Crime Reporting Program collects data about both single-bias and multiple-bias hate crimes. For each offense type reported, law enforcement must indicate at least one bias motivation. A single-bias incident is defined as an incident in which one or more offense types are motivated by the same bias. As of 2013, a multiple-bias incident is defined as an incident in which one or more offense types are motivated by two or more biases. Overview
In 2014, 15,494 law enforcement agencies participated in the Hate Crime Statistics Program. Of these agencies, 1,666 reported 5,479 hate crime incidents involving 6,418 offenses.
There were 5,462 single-bias incidents that involved 6,385 offenses, 6,681 victims, and 5,176 known offenders.
The 17 multiple-bias incidents reported in 2014 involved 33 offenses, 46 victims, and 16 offenders. (See Tables 1 and 12.) Source: FBI Hate Crime Statistics and more about the Hate Crime Statistics

Source: https://ucr.fbi.gov/about-us/cjis/ucr/hate-crime/2014/resource-pages/download-files

This dataset was created by Uniform Crime Reports and contains around 0 samples along with Unnamed: 13, Unnamed: 3, technical information and other features such as: - Unnamed: 12 - Unnamed: 5 - and more.

How to use this dataset

• Analyze Unnamed: 14 in relation to Unnamed: 9
• Study the influence of Unnamed: 15 on Unnamed: 4
• More datasets

Acknowledgements

If you use this dataset in your research, please credit Uniform Crime Reports

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--- Original source retains full ownership of the source dataset ---

Police-reported hate crime, by type of motivation, number of incidents and year to date total, preliminary quarterly data, Canada and regions (Atlantic, Quebec, Ontario, Prairies, British Columbia and Territories), Q1 (January to March) to Q4 (October to December) 2024 and Q1 (January to March) 2025.

According to a poll conducted in March 2021 in the United States, ** percent of respondents said that hate crimes in their town over the past 12 months are at about the same level as compared to 10 years ago. In the same survey, ** percent of respondents said that hate crimes were at a somewhat higher level in their town then they were 10 years ago.