In 2022, 1,225 active hate groups were counted in the United States, 103 of which were active in California. The term 'hate groups' includes groups which have beliefs or practices that attack or malign an entire class of people. Their activities can include criminal acts, rallies, speeches, meetings, leafleting, or publishing.

In 2023, there were ten Ku Klux Klan groups in the United States. The term 'hate groups' includes groups which have beliefs or practices that attack or malign an entire class of people. Their activities can include criminal acts, rallies, speeches, meetings, leafleting, or publishing.

This Dataset contains year, US state, offender race, offender ethnicity, offence name, bias description and victim type-wise total number of hate crime individual victims and offenders in USA

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.

This Dataset contains year, date of incident, US State and location wise total number of adult and juvenile victims and offenders. The dataset also has data based on offender race, offender ethnicity, offense name, bias description and victim type level

As of 2023, there were estimated to be ***** hate groups reported in the United States, the greatest number reported in the provided time period. The second-greatest number was reported in 2022, at ***** hate groups, followed by ***** in 2018.

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.

The graph illustrates the number of victims of race-based hate crimes in the United States in 2025. The x-axis lists various ethnic groups, while the y-axis represents the corresponding number of victims. The data reveals that Anti-Black hate crimes were the most prevalent, with 1,743 victims, followed by Anti-Hispanic and Anti-Asian crimes with 629 and 201 victims respectively. Other categories include Anti-Other Race (308), Anti-American Indian (74), Anti-Arab (73), and Anti-Native Pacific (25). The data indicates a significant disparity in the number of victims across different ethnic groups, with Anti-Black hate crimes being the most prominent.

This dataset contains the yearly statistics on the number of participating agencies, population covered, number of incidents reported, and agencies submitting incident reports.

The graph illustrates the number of hate crime incidents against white people in the United States from 1991 to 2025. The x-axis represents the years, spanning from '91 to '25, while the y-axis indicates the annual number of incidents. Over this 33-year period, the number of incidents ranges from a low of 528 in 2011 to a high of 1,480 in 1993. Notable figures include 841 incidents in 1991, a decline to 539 in 2009, and a recent increase to 892 in 2023. The data shows a general downward trend in hate crime incidents from the early 1990s through the mid-2010s, followed by a significant rise in the latter years. This information is presented in a line graph format, effectively highlighting the long-term decrease and recent resurgence in hate crime incidents against white individuals in the United States.

Content

Under New York State’s Hate Crime Law (Penal Law Article 485), a person commits a hate crime when one of a specified set of offenses is committed targeting a victim because of a perception or belief about their race, color, national origin, ancestry, gender, religion, religious practice, age, disability, or sexual orientation, or when such an act is committed as a result of that type of perception or belief. These types of crimes can target an individual, a group of individuals, or public or private property. DCJS submits hate crime incident data to the FBI’s Uniform Crime Reporting (UCR) Program. Information collected includes number of victims, number of offenders, type of bias motivation, and type of victim.

Context

This is a dataset hosted by the State of New York. The state has an open data platform found here and they update their information according the amount of data that is brought in. Explore New York State using Kaggle and all of the data sources available through the State of New York organization page!

• Update Frequency: This dataset is updated annually.

Acknowledgements

This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.

This Dataset contains year, date of incident, US State and location wise total number of adult and juvenile victims and offenders. The dataset also has data based on offender race, offender ethnicity, offence name, bias description and victim type level

Note: Only those biases which were closely related to Indian context namely Anti-Asian, Anti-Hindu, Anti-Sikh, Anti-Muslim, and Anti-Buddhist were considered in this dataset

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.

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

Over the last two decades alone, the United States has suffered well over ten thousand religion-motivated hate crimes. While racism and religion-motivated prejudice have received considerable attention following the “Unite the Right” rally in Charlottesville that resulted in deadly violence, there is little systematic scholarship evaluating where and when incidents targeting ethnoreligious minorities by non-state actors are likely to occur. Utilizing the FBI’s reported anti-Semitic hate crime data from 2001-2014, my main theoretical and empirical exercise is to determine which factors best explain where and when American ethnoreligious groups are likely to be targeted. I propose there are four essential mechanisms necessary to explain variation in minority targeting: “opportunity” (target group concentration), “distinguishability” (target group visibility), “stimuli” (events increasing target group salience), and “organization” (hate group quantity). My models show that variables falling within each of these theoretical concepts significantly explain variation in anti-Semitic incidents in the United States. Of particular importance for scholars and practitioners alike, Israeli military operations and the number of active hate groups within a state play a major role in explaining anti-Semitic incident variation.

In 2023, there were ***** incidents of intimidation hate crimes in the United States, making it the most common type of hate crime in that year. This was followed by simple assault, with ***** incidents 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.

This dataset contains the yearly statistics on the offense types by participating state, territory and federal agencies. Major categories of offense types include crimes against persons, crimes against property and crimes against society. Each offense type is further categorized by type of crime such as murder, rape, trafficking, robbery etc. and given in terms of State, territory and federal agencies.

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.

Content

Hate Crimes

This folder contains data behind the story Higher Rates Of Hate Crimes Are Tied To Income Inequality.

Sources: Kaiser Family Foundation Kaiser Family Foundation Kaiser Family Foundation Census Bureau Kaiser Family Foundation Kaiser Family Foundation Census Bureau Kaiser Family Foundation United States Elections Project Southern Poverty Law Center FBI

Correction

Please see the following commit: https://github.com/fivethirtyeight/data/commit/fbc884a5c8d45a0636e1d6b000021632a0861986

Context

This is a dataset from FiveThirtyEight hosted on their GitHub. Explore FiveThirtyEight data using Kaggle and all of the data sources available through the FiveThirtyEight organization page!

• Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using GitHub's API and Kaggle's API.

This dataset is distributed under the Attribution 4.0 International (CC BY 4.0) license.