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.

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.

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 2024.

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 ---

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

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.

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.

🇺🇸 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.

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

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

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

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.

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

***Starting on March 7th, 2024, the Los Angeles Police Department (LAPD) will adopt a new Records Management System for reporting crimes and arrests. This new system is being implemented to comply with the FBI's mandate to collect NIBRS-only data (NIBRS — FBI - https://www.fbi.gov/how-we-can-help-you/more-fbi-services-and-information/ucr/nibrs). During this transition, users will temporarily see only incidents reported in the retiring system. However, the LAPD is actively working on generating new NIBRS datasets to ensure a smoother and more efficient reporting system. ***

******Update 1/18/2024 - LAPD is facing issues with posting the Crime data, but we are taking immediate action to resolve the problem. We understand the importance of providing reliable and up-to-date information and are committed to delivering it.

As we work through the issues, we have temporarily reduced our updates from weekly to bi-weekly to ensure that we provide accurate information. Our team is actively working to identify and resolve these issues promptly.

We apologize for any inconvenience this may cause and appreciate your understanding. Rest assured, we are doing everything we can to fix the problem and get back to providing weekly updates as soon as possible. ******

This dataset reflects incidents of crime in the City of Los Angeles dating back to 2020. This data is transcribed from original crime reports that are typed on paper and therefore there may be some inaccuracies within the data. Some location fields with missing data are noted as (0°, 0°). Address fields are only provided to the nearest hundred block in order to maintain privacy. This data is as accurate as the data in the database. Please note questions or concerns in the comments.

This is a collection of data from the Leicester Hate Crime Project. It includes interview transcripts, survey data, reports, blogs, presentations, end of project conference details, the original proposal, and other information. To investigate victims’ experiences of hate and prejudice, the study used a mixed methods approach that included: (1) an online and hard-copy survey, translated into eight different languages; (2) in-depth, semi-structured face-to-face interviews; and (3) personal and reflective researcher field diary observations. From the outset we realised that for practical and logistical reasons we would not be able to attain a statistically representative sample of each of the myriad communities we wanted to hear from. We therefore developed a dual method of administering our survey – via hard copy questionnaires (which were distributed through dozens of community locations in the city, and through educational establishments, charitable institutions and other liaison points) and online – in order to gain as many and as diverse a range of responses as we possibly could. The research team worked with Ipsos MORI, a leading market research company in the UK and Ireland, to develop the survey instrument. This two-year study examined the experiences and expectations of those who are victimised because of their identity or perceived 'difference' in the eyes of the perpetrator. By exploring hate crime in a broader sense of 'targeted victimisation', the project aimed to investigate the experiences of the more ‘recognised’ hate crime victim communities, including those who experience racist, religiously motivated, homophobic, disablist and transphobic victimisation, as well as those who are marginalised from existing hate crime scholarly and policy frameworks. The study also investigated respondents’ perceptions of criminal justice agencies and other service providers in order to assess the needs of victims and to identify lessons for effective service delivery. The site for the research was Leicester, one of the most plural cities in the UK containing a diverse range of established and emerging minority communities. The research team administered online and written surveys to victims of hate crime within these communities and conducted in-depth interviews to probe issues in greater depth. Within this project we employed a ‘softer’, more subtle approach to locating and engaging with a wide range of diverse communities. This approach involved the research team spending prolonged periods of time in public spaces and buildings across the city, including international supermarkets, cafes and restaurants, charity shops, community and neighbourhood centres, libraries, health centres, places of worship, pubs and clubs, taxi ranks, and shelters and drug and alcohol services that support ‘hard to reach’ groups. Adopting this method enabled us to engage with over 4,000 members of established and emerging communities in order to raise awareness of the project itself, and to promote further recognition of the harms of hate and available pathways of support for victims. A total of 1,106 questionnaires were completed by people aged 16 and over who had experienced a hate crime in accordance with the definition employed within this study. Of these questionnaires, 808 were completed on paper and 298 were completed online. Ipsos MORI entered the resultant survey data into data analysis software and worked with the research team in interrogating it. The project used in-depth face-to-face qualitative interviews to further explore the nature, extent and impact of hate crime victimisation. Depending on the individual or group, interviews were conducted either individually or in the presence of family members, friends or carers as appropriate. Overall, interviews were carried out with 374 victims, 59 of whom had also completed a survey. Therefore, in total we heard from 1,421 victims over the duration of the study. Additionally, the Lead Researcher kept a field-note diary throughout the research process. The diary was used to detail observations and informal conversations with community groups, participants and practitioners and provided additional insight into the context and impact of victimisation.

Note: Due to a system migration, this data will cease to update on March 14^th, 2023. The current projection is to restart the updates within 30 days of the system migration, on or around April 13^th, 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

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