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.

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.

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 2023.

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

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.

It is important for the community to understand what is – and is not – a hate crime. First and foremost, the incident must be a crime. Although that may seem obvious, most speech is not a hate crime, regardless of how offensive it may be. In addition, a hate crime is not a crime, but a possible motive for a crime.It can be difficult to establish a motive for a crime. Therefore, the classification as a hate crime is subject to change as an investigation proceeds – even as prosecutors continue an investigation. If a person is found guilty of a hate crime, the court may fine the offender up to 1½ times the maximum fine and imprison him or her for up to 1½ times the maximum term authorized for the underlying crime.While the District strives to reduce crime for all residents of and visitors to the city, hate crimes can make a particular community feel vulnerable and more fearful. This is unacceptable, and is the reason everyone must work together not just to address allegations of hate crimes, but also to proactively educate the public about hate crimes.The figures in this data align with DC Official Code 22-3700. Because the DC statute differs from the FBI Uniform Crime Reporting (UCR) and National Incident-Based Reporting System (NIBRS) definitions, these figures may be higher than those reported to the FBI.Each month, an MPD team reviews crimes that have been identified as potentially motivated by hate/bias to determine whether there is sufficient information to support that designation. The data in this document is current through the end of the most recent month.The hate crimes dataset is not an official MPD database of record and may not match details in records pulled from the official Records Management System (RMS).Unknown or blank values in the Targeted Group field may be present prior to 2016 data. As of January 2022, an offense with multiple bias categories would be reflected as such.Data is updated on the 15th of every month.

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.

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.

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.

Police-reported hate crime, number of incidents and rate per 100,000 population, Census Metropolitan Areas and Canadian Forces Military Police, 2014 to 2023.

🇺🇸 미국 English It is important for the community to understand what is – and is not – a hate crime. First and foremost, the incident must be a crime. Although that may seem obvious, most speech is not a hate crime, regardless of how offensive it may be. In addition, a hate crime is not a crime, but a possible motive for a crime.It can be difficult to establish a motive for a crime. Therefore, the classification as a hate crime is subject to change as an investigation proceeds – even as prosecutors continue an investigation. If a person is found guilty of a hate crime, the court may fine the offender up to 1½ times the maximum fine and imprison him or her for up to 1½ times the maximum term authorized for the underlying crime.While the District strives to reduce crime for all residents of and visitors to the city, hate crimes can make a particular community feel vulnerable and more fearful. This is unacceptable, and is the reason everyone must work together not just to address allegations of hate crimes, but also to proactively educate the public about hate crimes.The figures in this data align with DC Official Code 22-3700. Because the DC statute differs from the FBI Uniform Crime Reporting (UCR) and National Incident-Based Reporting System (NIBRS) definitions, these figures may be higher than those reported to the FBI.Each month, an MPD team reviews crimes that have been identified as potentially motivated by hate/bias to determine whether there is sufficient information to support that designation. The data in this document is current through the end of the most recent month.The hate crimes dataset is not an official MPD database of record and may not match details in records pulled from the official Records Management System (RMS).Unknown or blank values in the Targeted Group field may be present prior to 2016 data. As of January 2022, an offense with multiple bias categories would be reflected as such.Data is updated on the 15th of every month.

Dataset containing confirmed hate crime incidents in NYC

Note: Due to a system migration, this data will cease to update on March 14th, 2023. The current projection is to restart the updates within 30 days of the system migration, on or around April 13th, 2023 Data is subset of the Incident data provided by the open data portal. This data specifically identifies crimes that meet the elements outlined under the FBI Hate crimes program since 2010. For more information on the FBI hate crime overview please visit https://www.fbi.gov/about-us/investigate/civilrights/hate_crimes Data Dictionary: ID - the row number INCIDENT_NUMBER - the number associated with either the incident or used as reference to store the items in our evidence rooms and can be used to connect the dataset to other LMPD datasets: DATE_REPORTED - the date the incident was reported to LMPD DATE_OCCURED - the date the incident actually occurred CRIME_TYPE - the crime type category BIAS_MOTIVATION_GROUP - Victim group that was targeted by the criminal act BIAS_TARGETED_AGAINST - Criminal act was against a person or property UOR_DESC - Uniform Offense Reporting code for the criminal act committed NIBRS_CODE - the code that follows the guidelines of the National Incident Based Reporting System. For more details visit https://ucr.fbi.gov/nibrs/2011/resources/nibrs-offense-codes/view UCR_HIERARCHY - hierarchy that follows the guidelines of the FBI Uniform Crime Reporting. For more details visit https://ucr.fbi.gov/ ATT_COMP - Status indicating whether the incident was an attempted crime or a completed crime. LMPD_DIVISION - the LMPD division in which the incident actually occurred LMPD_BEAT - the LMPD beat in which the incident actually occurred PREMISE_TYPE - the type of location in which the incident occurred (e.g. Restaurant) BLOCK_ADDRESS - the location the incident occurred CITY - the city associated to the incident block location ZIP_CODE - the zip code associated to the incident block location

Data is subset of the Incident data provided by the open data portal. This data specifically identifies crimes that meet the elements outlined under the FBI Hate crimes program since 2010. For more information on the FBI hate crime overview please visit https://www.fbi.gov/about-us/investigate/civilrights/hate_crimes Data Dictionary: ID - the row number INCIDENT_NUMBER - the number associated with either the incident or used as reference to store the items in our evidence rooms and can be used to connect the dataset to other LMPD datasets: DATE_REPORTED - the date the incident was reported to LMPD DATE_OCCURED - the date the incident actually occurred CRIME_TYPE - the crime type category BIAS_MOTIVATION_GROUP - Victim group that was targeted by the criminal act BIAS_TARGETED_AGAINST - Criminal act was against a person or property UOR_DESC - Uniform Offense Reporting code for the criminal act committed NIBRS_CODE - the code that follows the guidelines of the National Incident Based Reporting System. For more details visit https://ucr.fbi.gov/nibrs/2011/resources/nibrs-offense-codes/view UCR_HIERARCHY - hierarchy that follows the guidelines of the FBI Uniform Crime Reporting. For more details visit https://ucr.fbi.gov/ ATT_COMP - Status indicating whether the incident was an attempted crime or a completed crime. LMPD_DIVISION - the LMPD division in which the incident actually occurred LMPD_BEAT - the LMPD beat in which the incident actually occurred PREMISE_TYPE - the type of location in which the incident occurred (e.g. Restaurant) BLOCK_ADDRESS - the location the incident occurred CITY - the city associated to the incident block location ZIP_CODE - the zip code associated to the incident block location

description:

Data is subset of the Incident data provided by the open data portal. This data specifically identifies crimes that meet the elements outlined under the FBI Hate crimes program. For more information on the FBI hate crime overview please visit
https://www.fbi.gov/about-us/investigate/civilrights/hate_crimes

Data is subset of the Incident data provided by the open data portal. This data specifically identifies crimes that meet the elements outlined under the FBI Hate crimes program. For more information on the FBI hate crime overview please visit
https://www.fbi.gov/about-us/investigate/civilrights/hate_crimes

As the number of refugees rises across the world, anti-refugee violence has become a pressing concern. What explains the incidence and support of such hate crime? We argue that fears among native men that refugees pose a threat in the competition for female partners are a critical but understudied factor driving hate crime. Employing a comprehensive dataset on the incidence of hate crime across Germany, we first demonstrate that hate crime rises where men face disadvantages in local mating mar-kets. Next, we complement this ecological evidence with original survey measures and confirm that individual-level support for hate crime increases when men fear that the inflow of refugees makes it more difficult to find female partners. Mate competition concerns remain a robust predictor even when controlling for anti-refugee views, perceived job competition, general frustration, and aggressiveness. We conclude that a more complete understanding of hate crime and immigrant conflict must incorporate marriage markets and mate competition.

In addition to police-reported incidents that involve a hate crime motivation, there are four specific offences listed as hate propaganda and hate crimes in the Criminal Code of Canada: advocating genocide; incitement of hatred in a public place that is likely to lead to a breach of the peace [public incitement of hatred]; willful promotion of hatred, all when directed against an identifiable group, and; mischief motivated by hate in relation to property primarily used for religious worship.Depending on the level of evidence at the time of the incident, police can record the incident as either a “suspected” or “confirmed” hate-motivated crime. As more information is gathered, incidents are reviewed and verified and as a result, their status may be reclassified. Suspected hate crimes may include criminal incidents that cannot be confirmed as hate crimes, but for which there is sufficient evidence to suspect that they are motivated by hate, e.g., hate graffiti where no accused has been identified.To ensure personal privacy, occurrence locations have been aggregated to the corresponding neighbourhoods and Statistics Canada census tract areas. 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: July 27th, 2023Update frequency: AnnuallyAccuracy: 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: The attributes in this table represent fields in the Ottawa Police Records Management System (RMS). NOTE: In partnership with Statistics Canada and the Canadian Association of Chief’s of Police, hate crime type and motivation variables are in the process of being updated to better reflect the nature of the incident and modernize language to current standards. 1. ID 2. Year 3. Reported Date4. Reported Time 5. Reported Weekday6. Occurrence Date7. Occurrence Time 8. Occurrence Weekday 9. Hate Crime Type:AgeSex ReligionLanguageRace/ Ethnicity Sexual OrientationImmigrants/ Newcomers to CanadaUnknown Motivation10. Primary Hate Crime Motivation:AgeChildren (0-14)Youth (15-24)Adults (25-64)Seniors (65 years and over)Unknown AgeSex MaleFemale Other SexUnknown SexReligionCatholicJewishMuslimOther ReligionUnknown ReligionLanguageEnglishFrenchOther Language Unknown LanguageDisabilityMentalPhysicalOther DisabilityUnknown Disability Race / EthnicityIndigenousArab (West Asian, Middle Eastern and North African Origins)/West AsianBlackChineseEast and Southeast AsianIndia/ Pakistan/ South AsianSouth AsianWhiteMultiple Races/EthnicitiesOther Race/EthnicityUnknown Race/EthnicitySexual-Orientation BisexualHeterosexual Homosexual (Lesbian or Gay)LGBTQ2+Other Sexual OrientationUnknown Sexual OrientationOther Similar Factor (including motivations not otherwise stated above, such as profession or political beliefs)11. Hate Crime IndicatorHC Confirmed (Confirmed hate crime incident)HC Suspected (Suspected hate crime incident)12. Primary UCR13. Primary Offence14. CCJS ClearanceCleared (Solved):Cleared by chargeSuicide of CSCDeath of CSC (not suicide)Death of complainant or witnessReason beyond control of department (policy)Diplomatic immunityCSC under 12 years of ageCommittal of the CSC to a mental health facilityCSC outside Canada, cannot be returnedVictim/complainant requests that no further action is taken CSC involved in other incidentsCSC already sentencedDepartmental discretionDiversionary ProgramIncident cleared by a lesser structureIncident cleared by another agencyNot Cleared – (Unsolved):Insufficient evidence to proceedVictim/complainant declines to proceedOpen (still under investigation)15. ONS Neighbourhood 16. Ottawa Police Sector 17. Ottawa Police Division 18. Census Tract Unique ID19. Census Tract NameAuthor: Ottawa Police ServiceAuthor email: info@ottawapolice.caMaintainer Organization: Business Performance Unit

Police-reported hate crime, by most serious violation (homicide, assault, robbery, criminal harassment, indecent/harassing communications, uttering threats, mischief, public incitement of hatred), selected regions and Canada (selected police services), 2014 to 2023.

The Louisville Metro Police Department (LMPD) began operations on January 6, 2003, as part of the creation of the consolidated city-county government in Louisville, Kentucky. It was formed by the merger of the Jefferson County Police Department and the Louisville Division of Police. The Louisville Metro Police Department is headed by Acting Chief Paul Humphrey. LMPD divides Jefferson County into eight patrol divisions and operates a number of special investigative and support units.Data DictionaryField NamesField DescriptionsIncident NumberNumber associated with either the incident or used as reference to store the items in our evidence rooms and can be used to connect the dataset to other LMPD datasets.Date ReportedDate and time the incident was reported to LMPDDate OccurredDate and time the incident occurredCrime TypeCrime type as well as the Kentucky Revised Statute identifier that can be referenced here https://apps.legislature.ky.gov/law/statutes/Bias GroupVictim group that was targeted by the criminal actNIBRS Code NameCommon language name for the code that follows the guidelines of the National Incident Based Reporting System. For more details visit https://ucr.fbi.gov/nibrs/2011/resources/nibrs-offense-codes/viewNIBRS CodeCode that follows the guidelines of the National Incident Based Reporting System. For more details visit https://ucr.fbi.gov/nibrs/2011/resources/nibrs-offense-codes/viewNIBRS GroupNIBRS Group the crime belongs to - For more details visit https://ucr.fbi.gov/nibrs/2011/resources/nibrs-offense-codes/viewWas Offense CompletedWas the crime completed, Yes or No?LMPD DivisionLMPD division in which the incident actually occurredLMPD BeatLMPD beat in which the incident actually occurredLocation CategoryType of location in which the incident occurred (e.g. Restaurant)Block AddressBlock address in which the incident occurredCityCity associated to the incident locationStateState associated to the incident locationZip CodePostal code associated to the incident location