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TwitterIn 2023/24 the stop and search rate for Black people in England and Wales was 22.4 searches per 1,000 people, compared with the stop and search rate for white people of six per one thousand people. People in the categories of 'other', mixed and Asian ethnic backgrounds also had a higher stop and search rate than that of the white population.
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TwitterBiennial statistics on the representation of Black, Asian and Minority Ethnic groups as victims, suspects, offenders and employees in the Criminal Justice System.
These reports are released by the Ministry of Justice and produced in accordance with arrangements approved by the UK Statistics Authority.
This report provides information about how members of Black, Asian and Minority Ethnic (BME) Groups in England and Wales were represented in the Criminal Justice System (CJS) in the most recent year for which data were available, and, wherever possible, across the last five years. Section 95 of the Criminal Justice Act 1991 requires the Government to publish statistical data to assess whether any discrimination exists in how the CJS treats people based on their race.
These statistics are used by policy makers, the agencies who comprise the CJS and others to monitor differences between ethnic groups and where practitioners and others may wish to undertake more in-depth analysis. The identification of differences should not be equated with discrimination as there are many reasons why apparent disparities may exist.
The most recent data on victims showed differences in the risks of crime between ethnic groups and, for homicides, in the relationship between victims and offenders. Overall, the number of racist incidents and racially or religiously aggravated offences recorded by the police had decreased over the last five years. Key Points:
Per 1,000 population, higher rates of s1 Stop and Searches were recorded for all BME groups (except for Chinese or Other) than for the White group. While there were decreases across the last five years in the overall number of arrests and in arrests of White people, arrests of those in the Black and Asian group increased.
Data on out of court disposals and court proceedings show some differences in the sanctions issued to people of differing ethnicity and also in sentence lengths. These differences are likely to relate to a range of factors including variations in the types of offences committed and the plea entered, and should therefore be treated with caution. Key points:
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TwitterIn 2023/24, there were *******stop and searches carried out on people of white ethnic appearance by the police in London, compared with *******people of Black ethnic appearance, and ****** of Asian ethnic appearance.
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TwitterThe areas of focus include: Victimisation, Police Activity, Defendants and Court Outcomes, Offender Management, Offender Characteristics, Offence Analysis, and Practitioners.
This is the latest biennial compendium of Statistics on Race and the Criminal Justice System and follows on from its sister publication Statistics on Women and the Criminal Justice System, 2017.
This publication compiles statistics from data sources across the Criminal Justice System (CJS), to provide a combined perspective on the typical experiences of different ethnic groups. No causative links can be drawn from these summary statistics. For the majority of the report no controls have been applied for other characteristics of ethnic groups (such as average income, geography, offence mix or offender history), so it is not possible to determine what proportion of differences identified in this report are directly attributable to ethnicity. Differences observed may indicate areas worth further investigation, but should not be taken as evidence of bias or as direct effects of ethnicity.
In general, minority ethnic groups appear to be over-represented at many stages throughout the CJS compared with the White ethnic group. The greatest disparity appears at the point of stop and search, arrests, custodial sentencing and prison population. Among minority ethnic groups, Black individuals were often the most over-represented. Outcomes for minority ethnic children are often more pronounced at various points of the CJS. Differences in outcomes between ethnic groups over time present a mixed picture, with disparity decreasing in some areas are and widening in others.
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TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
The data used in the MPS Stop and Search Dashboard is available here Stop and Search Dashboard | 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. Definitions / Counting Rules Stop and Search (S&S) - When an officer stops a member of the public and searches them. The police can only detain members of the public in order to carry out a search when certain conditions have been met. Search powers fall under different areas of legislation which include searching for - Stolen property - Prohibited articles namely offensive weapons or anything used for burglary, theft, deception or criminal damage - Drugs - Guns Historically searches of unattended vehicles and vessels have made up a very low proportion of search activity. PACE and Other Stops and Searches - Stops and Searches under PACE (Police and Criminal Evidence Act), S23 Drugs Act, S47 Firearms Act plus a very small number not included in the other categories (e.g. s27(1) Aviation Security Act 1982 or S7 Sporting Events (Control of Alcohol) Act 1985) Section 60 Criminal Justice & Public Order Act 1994 (s.60) - Where an authorising officer reasonably believes that serious violence may take place or that persons are carrying dangerous instruments or offensive weapons without good reason they may authorise powers for officers in uniform to stop and search any person or vehicles within a defined area and time period. Search Groupings - Searches within this report are sometimes grouped as either Weapons, ASB or Key Crime searches. The Weapons group is composed of stops recorded under codes C - Firearms (s47 Firearms Act), D - Offensive Weapons (s1 PACE), K - Anticipated Violence (s60 CJPO). The ASB group is composed of codes B - Drugs (s23 Misuse of Drugs Act), L- Criminal Damage (s1 Pace), Y- Psychoactive Substances, Z - Fireworks (s1 Pace). The Key Crime Group is composed of codes A - Stolen Property (s1 PACE), F- Going Equipped (s1 PACE). Positive Outcomes - A Positive Outcome is any outcome other than 'No Further Action (NFA)'The Positive Outcome rate is determined by dividing the number of positive outcomes by the total number of searches. Ethnic Appearance - The ethnicity of the person stopped as perceived by the officer. For further information on the mapping of 4+1 groupings to 18+1 census data please see HO report Statistics on Race and the Criminal Justice System 2010 at http://www.homeoffice.gov.uk/rds/pubsstatistical.html Self Defined Ethnicity (SDE) - The ethnic group as defined by the person stopped (National Census categories). This report uses 2011 Census data. This is held in 18+1 format and the recorded ethnic appearance of the Stop/Search (4+1) must be mapped to the appropriate 18+1 Census categories. The categories are mapped as follows: White = White British, White Irish, White Gypsy or Irish Traveller, and any other White Background. Black = Black or Black British, Caribbean, African, Mixed White and Black Caribbean, Mixed White and Black African, and any other Black Background Asian = Asian or Asian British Indian, Pakistani, Bangladeshi, Chinese, Mixed White and Asian and any other Asian background. Other = Arab, and any other Ethnic Group Caveats The Borough shown is location of search and not necessarily the borough of the officer conducting the search. The ethnicity of persons stopped and searched within the central London area are unlikely to reflect the resident population due to large numbers of both British and foreign tourists in this region. The MPS fully recognises the distress to the individual which any type of search where intimate parts are exposed can cause, and does not seek to downplay this. However, dip sampling of records has shown that historically some of the records included in this dashboard were wrongly recorded as MTIPs, when they were in fact strip searches conducted in custody after arrest. There will therefore be some double counting, as these will also have been recorded on our custody system and will be therefore be counted in both this dashboard and the separate strip search dashboard. NB Data uploaded to this area after February 2024 is sourced from the CONNECT system. Some measures\details previously provided may not be available in total or in part. Please take care when comparing data-sets posted after February 2024 with those posted prior.
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TwitterThe data used in the MPS Stop and Search Dashboard is available here Stop and Search Dashboard | 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. Definitions / Counting Rules Stop and Search (S&S) - When an officer stops a member of the public and searches them. The police can only detain members of the public in order to carry out a search when certain conditions have been met. Search powers fall under different areas of legislation which include searching for Stolen property Prohibited articles namely offensive weapons or anything used for burglary, theft, deception or criminal damage Drugs Guns Historically searches of unattended vehicles and vessels have made up a very low proportion of search activity. PACE and Other Stops and Searches - Stops and Searches under PACE (Police and Criminal Evidence Act), S23 Drugs Act, S47 Firearms Act plus a very small number not included in the other categories (e.g. s27(1) Aviation Security Act 1982 or S7 Sporting Events (Control of Alcohol) Act 1985) Section 60 Criminal Justice & Public Order Act 1994 (s.60) - Where an authorising officer reasonably believes that serious violence may take place or that persons are carrying dangerous instruments or offensive weapons without good reason they may authorise powers for officers in uniform to stop and search any person or vehicles within a defined area and time period. Search Groupings - Searches within this report are sometimes grouped as either Weapons, ASB or Key Crime searches. The Weapons group is composed of stops recorded under codes C - Firearms (s47 Firearms Act), D - Offensive Weapons (s1 PACE), K - Anticipated Violence (s60 CJPO). The ASB group is composed of codes B - Drugs (s23 Misuse of Drugs Act), L- Criminal Damage (s1 Pace), Y- Psychoactive Substances, Z - Fireworks (s1 Pace). The Key Crime Group is composed of codes A - Stolen Property (s1 PACE), F- Going Equipped (s1 PACE). Criminality Detected (formerly Positive Outcomes) - Criminality Detected refers to a Stop where the outcome is any outcome other than 'No Further Action (NFA)'. The 'Criminality Detected' rate is determined by dividing the number of Criminality Detected searches by the total number of searches. Ethnic Appearance - The ethnicity of the person stopped as perceived by the officer. For further information on the mapping of 4+1 groupings to 18+1 census data please see HO report Statistics on Race and the Criminal Justice System 2010 at http://www.homeoffice.gov.uk/rds/pubsstatistical.html Self Defined Ethnicity (SDE) - The ethnic group as defined by the person stopped (National Census categories). This report uses 2011 Census data. This is held in 18+1 format and the recorded ethnic appearance of the Stop/Search (4+1) must be mapped to the appropriate 18+1 Census categories. The categories are mapped as follows: White = White British, White Irish, White Gypsy or Irish Traveller, and any other White Background. Black = Black or Black British, Caribbean, African, Mixed White and Black Caribbean, Mixed White and Black African, and any other Black Background Asian = Asian or Asian British Indian, Pakistani, Bangladeshi, Chinese, Mixed White and Asian and any other Asian background. Other = Arab, and any other Ethnic Group Caveats The Borough shown is location of search and not necessarily the borough of the officer conducting the search. The ethnicity of persons stopped and searched within the central London area are unlikely to reflect the resident population due to large numbers of both British and foreign tourists in this region. The MPS fully recognises the distress to the individual which any type of search where intimate parts are exposed can cause, and does not seek to downplay this. However, dip sampling of records has shown that historically some of the records included in this dashboard were wrongly recorded as MTIPs, when they were in fact strip searches conducted in custody after arrest. There will therefore be some double counting, as these will also have been recorded on our custody system and will be therefore be counted in both this dashboard and the separate strip search dashboard. NB Data uploaded to this area after February 2024 is sourced from the CONNECT system. Some measures\details previously provided may not be available in total or in part. Please take care when comparing data-sets posted after February 2024 with those posted prior.
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TwitterHome Office statisticians are committed to regularly reviewing the usefulness, clarity and accessibility of the statistics that we publish under the Code of Practice for Statistics.
We are therefore seeking your feedback as we look to improve the presentation and dissemination of our statistics and data in order to support all types of users.
We would be extremely grateful if you could fill out https://www.homeofficesurveys.homeoffice.gov.uk/s/ZWDOR/" class="govuk-link">our survey to tell us how you think we can improve our statistical publications – it will only take a couple of minutes to complete.
If you have any comments about this release please contact us at crimeandpolicestats@homeoffice.gov.uk.
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TwitterThe publication reports statistical information on the representation of black and minority ethnic groups as suspects, offenders and victims within the criminal justice system and on employees within criminal justice agencies.
This publication fulfils a statutory obligation for the Secretary of State to publish, annually, information relating to the criminal justice system with reference to avoiding discrimination on the ground of race.
The bulletin is produced and handled by the ministry’s analytical professionals and production staff. Pre-release access of up to 24 hours is granted to the following persons:
Ministry of Justice: Lord Chancellor and Secretary of State for Justice; Minister of State Criminal Justice; Parliamentary Under-Secretary of State for Justice; Permanent Secretary; Press Office; MoJ Policy Director; Head of Race Confidence and Justice Unit; Race Confidence and Justice Unit; Policy lead for Victims; Policy lead for racist offences and racially or religiously aggravated offences; Policy lead for Cautions; Policy lead for sentencing; and NOMs policy lead for probation and prisons.
Home Office: Home Secretary; Press Office; Statistics Head of Profession; Policy lead for Stop and Account and Stop and Search.
Office of the Attorney General: Attorney General.
CPS: Equality and Diversity Unit Officer.
ACPO: Diversity Business Area Policy Manager.
NPIA: Policy lead for Arrests.
Judiciary: Senior Presiding Judge.
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TwitterThis dataset contains data included in the San Diego County Regional Equity Indicators Report led by the Office of Equity and Racial Justice (OERJ). The full report can be found here: https://data.sandiegocounty.gov/stories/s/7its-kgpt.
Geographic data used to create maps in the report can be found here: https://data.sandiegocounty.gov/dataset/Equity-Report-Data-Geography/p6uw-qxpv
Filter by the Indicator column to select data for a particular indicator.
User notes: 10/9/25 - for the report year 2025, data for the following indicators were uploaded with changes relative to report year 2023: Crime Rate: As of January 1, 2021, the FBI replaced the Summary Reporting System (SRS) with the National Incident Based Reporting System (NIBRS), which expands how crimes were recorded and classified. This report uses California’s version of NIBRS, the California Incident Based Reporting System (CIBRS), obtained from the SANDAG Open Data Portal. Crime rates are not disaggregated by jurisdiction, as in the previous Equity Indicator Report. Internet access: The age group variable was incorporated to account for notable disparities in internet access by age. Police Stops and Searches: refined methods. Agency data was aggregated to San Diego County because data was available for all agencies; previously data was available for three agencies. Analysis of RIPA data was updated to exclude stops where the stop was made in response to a call for service, combine transgender women and transgender men into a transgender category, and limit to contraband found during search. Used term “discovery rate” instead of “hit rate.” Removed comparison to traffic collision data and instead compared to population estimates from the American Community Survey. Jail Incarceration: new data sources. The numerator data for the average daily population data in jail was obtained from the San Diego County Sheriff's Office. Population data to calculate the rates was obtained from the San Diego Association of Governments (SANDAG). The terms for conviction status were corrected to "locally sentenced" and "unsentenced" for sentencing status. For jail population data, East African was reclassified as Black and Middle Eastern as White to allow for calculation of rates using SANDAG population estimates.
8/1/25 - for the report year 2025, the following change were made: Business Ownership: the minority and nonminority labels were switched for the population estimates and some of the race/ethnicity data for nonemployer businesses were corrected. Homelessness: added asterisks to category name for unincorporated regions to allow for a footnote in the figure in the story page.
7/11/25 - for the report year 2025, the following changes were made: Beach Water Quality: the number of days with advisories was corrected for Imperial Beach municipal beach, San Diego Bay, and Ocean Beach.
5/22/25 - for the report year 2023, the following changes were made: Youth poverty/Poverty: IPUMS identified an error in the POVERTY variable for multi-year ACS samples. In July 2024, they released a revised version of all multi-year ACS samples to IPUMS USA, which included corrected POVERTY values. The corrected POVERTY values were downloaded, and the analysis was rerun for this indicator using the 2021 ACS 5-year Estimates. Youth Poverty: data source label corrected to be 2021 for all years. Employment, Homeownership, and Cost-Burdened Households - Notes were made consistent for rows where category = Race/Ethnicity.
5/9/25 - Excluding data for the crime section indicators, data were appended on May 9, 2025 and the report will be updated to reflect the new data in August 2025. The following changes in methods were made: For indicators based on American Community Survey (ACS) data, the foreign-born category name was changed to Nativity Status. Internet access: Group quarters is a category included in the survey sample, but it is not part of the universe for the analysis. For the 2025 Equity Report year, respondents in group quarters were excluded from the analysis, whereas for the 2023 Equity Report year, these respondents were included. Adverse childhood experiences - new data source.
Prepared by: Office of Evaluation, Performance, and Analytics and the Office of Equity and Racial Justice, County of San Diego, in collaboration with the San Diego Regional Policy & Innovation Center (https://www.sdrpic.org).
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TwitterThe inequities of the COVID-19 pandemic were clear by April 2020 when data showed that despite being just 3.5% of the population in England, Black people comprised 5.8% of those who died from the virus; whereas White people, comprising 85.3% of the population, were 73.6% of those who died. The disproportionate impact continued with, for example, over-policing: 32% of stop and search in the year ending March 2021 were of Black, Asian and Minority Ethnic (BAME) males aged 15-34, despite them being just 2.6% of the population. The emergency measures introduced to govern the pandemic worked together to create a damaging cycle affecting Black, Asian and Minority Ethnic families and communities of all ages. Key-workers – often stopped by police on their way to provide essential services – could not furlough or work from home to avoid infection, nor support their children in home-schooling. Children in high-occupancy homes lacked adequate space and/ or equipment to learn; such homes also lacked leisure space for key workers to restore themselves after extended hours at work. Over-policing instilled fear across the generations and deterred BAME people – including the mobile elderly - from leaving crowded homes for legitimate exercise, and those that did faced the risk of receiving a Fixed Penalty Notice and a criminal record. These insights arose from research by Co-POWeR into the synergistic effects of emergency measures on policing, child welfare, caring, physical activity and nutrition. Using community engagement, a survey with 1000 participants and interviews, focus groups, participatory workshops and community testimony days with over 400 people in total, we explored the combined impact of COVID-19 and discrimination on wellbeing and resilience across BAME FC in the UK. This policy note crystallises our findings into a framework of recommendations relating to arts and media communications, systems and structures, community and individual well-being and resilience. We promote long term actions rather than short term reactions. In brief, we conclude that ignoring race, gender and class when tackling a pandemic can undermine not only wellbeing across Black, Asian and Minority Ethnic families and communities (BAME FC) but also their levels of trust in government. A framework to protect wellbeing and resilience in BAME FC during public health emergencies was developed by Co-POWeR to ensure that laws and guidance adopted are culturally competent.
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TwitterIf you have any comments about this release please contact us at crimeandpolicestats@homeoffice.gov.uk.
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TwitterA list of all uniform citations from the Louisville Metro Police Department, the CSV file is updated daily, including case number, date, location, division, beat, offender demographics, statutes and charges, and UCR codes can be found in this Link.
INCIDENT_NUMBER or CASE_NUMBER links these data sets together:
CITATION_CONTROL_NUMBER links these data sets together:
Note: When examining this data, make sure to read the LMPDCrime Data section in our Terms of Use.
AGENCY_DESC - the name of the department that issued the citation
CASE_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 the following other datasets INCIDENT_NUMBER:
1. Crime Data
2. Firearms intake
3. LMPD hate crimes
4. Assaulted Officers
NOTE: CASE_NUMBER is not formatted the same as the INCIDENT_NUMBER in the other datasets. For example: in the Uniform Citation Data you have CASE_NUMBER 8018013155 (no dashes) which matches up with INCIDENT_NUMBER 80-18-013155 in the other 4 datasets.
CITATION_YEAR - the year the citation was issued
CITATION_CONTROL_NUMBER - links this LMPD stops data
CITATION_TYPE_DESC - the type of citation issued (citations include: general citations, summons, warrants, arrests, and juvenile)
CITATION_DATE - the date the citation was issued
CITATION_LOCATION - the location the citation was issued
DIVISION - the LMPD division in which the citation was issued
BEAT - the LMPD beat in which the citation was issued
PERSONS_SEX - the gender of the person who received the citation
PERSONS_RACE - the race of the person who received the
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TwitterRhode Island Public Transit Authority, RIPTA, statewide bus stops for public transit service with individual route and stop information effective September 2007 It is not the intention when using this data set to determine the exact routing, timing or scheduling of bus trips. Transit system routes and schedules including frequency of service change periodically. Users of this data should check with RIPTA for the most up to data information and not rely on this data for final determinations. www.ripta.com
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TwitterIn 2023/24 the stop and search rate for Black people in England and Wales was 22.4 searches per 1,000 people, compared with the stop and search rate for white people of six per one thousand people. People in the categories of 'other', mixed and Asian ethnic backgrounds also had a higher stop and search rate than that of the white population.