53 datasets found
  1. Racial prejudice in Great Britain from 1983 to 2017

    • statista.com
    Updated Aug 9, 2024
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    Statista (2024). Racial prejudice in Great Britain from 1983 to 2017 [Dataset]. https://www.statista.com/statistics/304288/racial-prejudice-in-great-britain-gb-uk/
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    Dataset updated
    Aug 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom, Great Britain
    Description

    This statistic shows the result of a question from the British Social Attitudes survey which asked 'would you describe yourself as very prejudiced/a little prejudiced against people of other races?' Over this 34-year period there was a net decrease in the share of respondents saying that they were, at least to some extent, prejudiced when it came to people of other races.

  2. NHS staff that experienced discrimination by patients England 2018-2024, by...

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). NHS staff that experienced discrimination by patients England 2018-2024, by ethnicity [Dataset]. https://www.statista.com/statistics/883058/nhs-staff-experience-of-discrimination-by-patients/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom (England), Europe
    Description

    The share of NHS England staff experiencing discrimination from patients has increased in the past years. However, this was largely driven by the rise in discrimination experienced by staff of ethnic minorities, who are **** times more likely to be discriminated against by patients compared to white staff. Doctors and dentists were even more likely to experience discrimination than the average NHS staff, possibly because their workforce is more ethnically diverse.

  3. S

    Employment Discrimination Statistics By Region, Type And Trends (2025)

    • sci-tech-today.com
    Updated Jun 24, 2025
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    Sci-Tech Today (2025). Employment Discrimination Statistics By Region, Type And Trends (2025) [Dataset]. https://www.sci-tech-today.com/stats/employment-discrimination-statistics-updated/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Sci-Tech Today
    License

    https://www.sci-tech-today.com/privacy-policyhttps://www.sci-tech-today.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Introduction

    Employment Discrimination Statistics: Working conditions remain one of the major issues worldwide where individuals are discriminated against because of their race, gender, age, disability, and religion, among other factors. In the year twenty-four, numerous publications and research studies have shown that gender discrimination in England has had a significant impact on the productivity of employees and the mental growth of the company and its employees.

    Employment discrimination remains a critical challenge in England, with gender bias significantly affecting both organizational productivity and employee well-being. In 2024, 12 % of UK adults reported experiencing gender-based discrimination at work, rising to 27 % among non-binary individuals. Women earned a median of £672 per week compared to £773 for men—an hourly pay gap of 7.0 % for full-time employees and 13.1 % overall in April 2024 . Mental health also suffered: 52 % of young women (ages 16–30) reported mental health problems linked to sexism or harassment at work, and 42 % of young men reported similar issues.

    Across the UK workforce, 15 % of employees had an existing mental health condition, while work-related stress led to 17.1 million lost working days in 2022–23. Financially, poor mental wellbeing costs employers an estimated £42 billion–£45 billion annually—approximately USD 52 billion–USD 56 billion at current exchange rates.

    Employment discrimination statistics indicate that some improvement is noted, but there are still many areas that require considerable changes to facilitate equality among the employees.

  4. w

    Race and the criminal justice system 2010

    • gov.uk
    Updated Jul 26, 2012
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    Ministry of Justice (2012). Race and the criminal justice system 2010 [Dataset]. https://www.gov.uk/government/statistics/race-and-the-criminal-justice-system--3
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    Dataset updated
    Jul 26, 2012
    Dataset provided by
    GOV.UK
    Authors
    Ministry of Justice
    Description

    Statistics on race and the criminal justice system 2010

    Biennial 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.

    Introduction

    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.

    Specific findings

    Victims

    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:

    • The 2010/11 British Crime Survey (BCS) showed that the risk of being a victim of personal crime was higher for adults from a Mixed background than for other ethnic groups. It was also higher for members of all BME groups than for the White group.
    • Over the five-year period 2006/07 to 2010/11, there was a statistically significant fall in the risk of being a victim of personal crime for members of the White group of 0.8%. The apparent decrease for those from BME groups was not statistically significant.
    • Of the 2,007 homicides recorded for the latest three-year period (2007/08 to 2009/10), 75% of victims were White, 12% Black and 8% Asian.
    • In the majority of homicide cases, victims were suspected of being killed by someone from the same ethnic group, which is consistent with previous trends (88% of White victims, 78% of Black victims and 60% of Asian victims).

    Suspects

    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.

    • Per 1,000 of the population, Black persons were Stopped and Searched 7.0 times more than White people in 2009/10 compared to 6.0 times more in 2006/07.
    • When referring to the rate per 1,000 population for England and Wales, it is important to bear in mind that the higher rate than that obtained for the rest of England and Wales(excluding the Metropolitan Police Service) is the product of the aggregation of 42 police force areas (PFAs), each with different distributions of both ethnic population and use of Stop and Search powers. While the area served by the Metropolitan Police Service accounts for 14% of the England and Wales population, 43% of s1 Stop and Searches are carried out by the Metropolitan Police Service.
    • Across England and Wales, there was a decrease (just over 3%) in the total number of arrests in 2009/10 (1,386,030) compared to 2005/06 (1,429,785). While the number of arrests for the White group also decreased during this period, arrests of Black persons rose by 5% and arrests of Asian people by 13%.
    • Overall, there were more arrests per 1,000 population of each BME group (except for Chinese or Other) than for people of White ethnicity in 2009/10. Black persons were arrested 3.3 times more than White people, and those from the Mixed ethnic group 2.3 times more.
    • In 2009/10, just over 9% of s1 Stop and Searches compared with 12%, 4% and 1% respectively in 2006/07.

    Defendants

    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:

    • Conviction ratios for indictable offences were higher for Wh

  5. Statistics on Race and the Criminal Justice System 2012

    • gov.uk
    Updated Dec 18, 2013
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    Ministry of Justice (2013). Statistics on Race and the Criminal Justice System 2012 [Dataset]. https://www.gov.uk/government/statistics/statistics-on-race-and-the-criminal-justice-system-2012
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    Dataset updated
    Dec 18, 2013
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Justice
    Description

    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 individuals based on their ethnicity.

    These statistics are used by policy makers, the agencies who comprise the CJS and others (e.g. academics, interested bodies) to monitor differences between ethnic groups, and to highlight areas 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 main findings are:

    Victims of crime

    The 2012/13 Crime Survey for England and Wales shows that adults from self-identified Mixed, Black and Asian ethnic groups were more at risk of being a victim of personal crime than adults from the White ethnic group. This has been consistent since 2008/09 for adults from a Mixed or Black ethnic group; and since 2010/11 for adults from an Asian ethnic group. Adults from a Mixed ethnic group had the highest risk of being a victim of personal crime in each year between 2008/09 and 2012/13.

    Homicide victims

    Homicide is a rare event, therefore, homicide victims data are presented aggregated in three-year periods in order to be able to analyse the data by ethnic appearance. The most recent period for which data are available is 2009/10 to 2011/12.

    The overall number of homicides has decreased over the past three three-year periods. The number of homicide victims of White and Other ethnic appearance decreased during each of these three-year periods. However the number of victims of Black ethnic appearance increased in 2006/07 to 2008/09 before falling again in 2009/10 to 2011/12.

    For those homicides where there is a known suspect, the majority of victims were of the same ethnic group as the principal suspect. However, the relationship between victim and principal suspect varied across ethnic groups. In the three-year period from 2009/10 to 2011/12, for victims of White ethnic appearance the largest proportion of principal suspects were from the victim’s own family; for victims of Black ethnic appearance, the largest proportion of principal suspects were a friend or acquaintance of the victim; while for victims of Asian ethnic appearance, the largest proportion of principal suspects were strangers.

    Homicide by sharp instrument was the most common method of killing for victims of White, Black and Asian ethnic appearance in the three most recent three-year periods. However, for homicide victims of White ethnic appearance hitting and kicking represented the second most common method of killing compared with shooting for victims of Black ethnic appearance, and other methods of killing for victims of Asian ethnic appearance.

    Suspects

    In 2011/12, a person aged ten or older (the age of criminal responsibility), who self-identified as belonging to the Black ethnic group was six times more likely than a White person to be stopped and searched under section 1 (s1) of the Police and Criminal Evidence Act 1984 and other legislation in England and Wales; persons from the Asian or Mixed ethnic group were just over two times more likely to be stopped and searched than a White person.

    Despite an increase across all ethnic groups in the number of stops and searches conducted under s1 powers between 2007/08 and 2011/12, the number of resultant arrests decreased across most ethnic groups. Just under one in ten stop and searches in 2011/12 under s1 powers resulted in an arrest in the White and Black self-identified ethnic groups, compared with 12% in 2007/08. The proportion of resultant arrests has been consistently lower for the Asian self-identified ethnic group.

    In 2011/12, for those aged 10 or older, a Black person was nearly three times more likely to be arrested per 1,000 population than a White person, while a person from the Mixed ethnic group was twice as likely. There was no difference in the rate of arrests between Asian and White persons.

    The number of arrests decreased in each year between 2008/09 and 2011/12, consistent with a downward trend in police recorded crime since 2004/05. Overall, the number of arrests decreased for all ethnic groups between 2008/09 and 2011/12, however arrests of suspects from the Black, Asian and Mixed ethnic groups peaked in 2010/11.

    Arrests for drug offences and sexual offences increased for suspects in all ethnic groups except the Chinese or Other ethnic group between 2008/09 and 2011/12. In addition, there were increases in arrests for burglary, robbery and the other offences category for suspects from the Black and Asian ethnic groups.

    Defendants

    The use of out of court disposals (Penalty Notices for Disorder and caution

  6. A Respect Index for Northern Ireland (as measured by the Everyday...

    • gov.uk
    Updated Dec 20, 2022
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    The Executive Office (Northern Ireland) (2022). A Respect Index for Northern Ireland (as measured by the Everyday Discrimination Scale): 2016 - 2021 [Dataset]. https://www.gov.uk/government/statistics/a-respect-index-for-northern-ireland-as-measured-by-the-everyday-discrimination-scale-2016-2021
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    Dataset updated
    Dec 20, 2022
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    The Executive Office (Northern Ireland)
    Area covered
    Ireland, Northern Ireland
    Description

    The respect index measures perception of discrimination experienced by individuals in their daily lives using nine questions which make up the Everyday Discrimination Scale (EDS). The questions are included in the Northern Ireland Life and Times Survey, and this report contains six years of data.

  7. Britain LGBTQ+ workplace discrimination due to gender identity survey 2022

    • statista.com
    Updated Jul 11, 2025
    + more versions
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    Statista (2025). Britain LGBTQ+ workplace discrimination due to gender identity survey 2022 [Dataset]. https://www.statista.com/statistics/1387525/britain-lgbtq-workplace-discrimination-survey/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 21, 2022 - May 4, 2022
    Area covered
    United Kingdom
    Description

    According to a survey of LGBTQ+ people in Great Britain, ** percent agreed somewhat that LGBTQ+ individuals faced discrimination in the workplace due to their gender identity, while a further ** percent strongly agreed they did. Just three percent strongly disagreed, that LGBTQ+ individuals faced discrimination at work for this reason.

  8. Race crimes in England and Wales 2009-2020

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Race crimes in England and Wales 2009-2020 [Dataset]. https://www.statista.com/statistics/674846/race-crimes-in-england-and-wales/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019 - 2020
    Area covered
    Wales, England
    Description

    This graph shows the annual number of police-reported racially motivated hate crimes that have occurred in England and Wales from ********** to 2020. After a decrease during the years 2010 and 2013, annual increases were featured in the following years, resulting in a peak reaching over ** thousand recorded cases of racist hate crime 2018/19.

  9. e

    An ESRC/NIH health disparities study of discrimination and disparities in...

    • b2find.eudat.eu
    Updated Oct 1, 2015
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    The citation is currently not available for this dataset.
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    Dataset updated
    Oct 1, 2015
    Area covered
    United States, United Kingdom
    Description

    This archive contains the ESRC funded data collection (UK data) only. The data collection contains a state file consisting of 902 variables, 677 observations. The codebook available in the data collection provides detailed descriptions of variables and data codes (missing etc). For more information please contact stephani.hatch@kcl.ac.uk Research from the United Kingdom and the United States shows wide health inequalities by race/ethnicity and socio-economic status. So far we do not clearly understand the roles that discrimination and social context play in creating these inequalities. Research teams at King's College London (UK) and Columbia University (USA) will carry out studies to investigate: the roles that the historical social context and policy play in shaping observed patterns of health inequalities; differences in anticipated and perceived experiences of discrimination; how discrimination contributes to inequalities in everyday social functioning, mental health, physical health, and use of health services. Comparisons will be made with 1600 adults from two larger studies, (i) the UK National Institute for Health Research-funded South East London Community Health study at the Biomedical Research Centre for Mental Health, and (ii) the US National Institute of Health-funded Child Health and Development Disparities Study in the East Bay Area of California. UK and US researchers, health practitioners, and community members will be invited to participate in developing the social and historical contextual narratives and in planning the dissemination of our research findings. South East London Community Health (SELCoH) study is a follow up study of the community psychiatric and physical morbidity of adults, age 16 years and over from randomly selected households in the south London boroughs of Southwark and Lambeth. Participants were identified through use of the random household sampling as described and used for the Household Survey of the National Survey of Psychiatric morbidity (1). The sample is stratified across the two boroughs to ensure a similar sample size for each area. Individuals were eligible for participation providing they lived in a household in the catchment area. No further exclusion criteria applied. Recruitment for phase 1 (hereafter SELCoH-I), was done between 2008 and 2010, with the final data-set containing information on 1698 adults, aged between 16 and 90 years, from 1075 randomly selected households across two London boroughs. Further details on SELCoH’s organisation, sample and procedures may be found elsewhere (2). Most (94%) of the SELCoHI study participants agreed to be contacted for future studies. The second phase of SELCoH (hereafter SELCoH-II) is a coordinated follow up of participants that participated in the SELCoHI who have agreed to be followed up. This study is also shared with the study entitled, ‘An Health Disparities Study of Discrimination & Disparities in Health & Health Service Use in the UK and US (Health Disparities study) for which the UK sample is drawn from SELCoH I. Thus SELCoHII aimed to update the locally relevant prevalence estimates and to investigate the influence of deleterious experiences across different demographic groups. Recruitment of SELCoH study participants began by sending a letter describing the study. This was sent two weeks in advance of interviewers visiting a household. During each household visit, interviewers attempted contact with a resident. Where contact was achieved, potential participants were given study information, reminded that their continued engagement was voluntary and, where possible, scheduled for an in-home interview. A maximum of four contact attempts (inclusive of any messages and/or home visits) were permitted per eligible individual. Closely supervised, trained interviewers conducted face-to-face interviews with computer assisted interview schedules. The survey questionnaire collected information on the following topics: (1) demographics; (2) migration; (3) socioeconomic status (SES); (4) ethnic identity (5)work attitude and experience (6) psychosocial factors (e.g., social support); (7) neighbourhood characteristics; (8) social adversity; (9) health behaviours; (10) physical and mental health status; (11) treatment and health service use; (12) access to technology; (13) the experience of unfair treatment and discrimination; (14) coping methods; (15) wellbeing. Translators employed by the SLAM NHS Trust were used in interviews with non-English speaking adults upon request. Participants were able to end the interview at any time and compensated for their time. We also provided an option to do a telephone interview for participants who moved out of London. References 1. Jenkins R, Bebbington P, Brugha T, Farrell M, Gill B, Lewis G, Meltzer H, Petticrew M: The National Psychiatric Morbidity surveys of Great Britain-strategy and methods. Psychological Medicine 1997, 27(4): 765-774. 2. Hatch SL, Frissa S, Verdecchia M, Stewart R, Fear NT, Reichenberg A, Morgan C, Kankulu B, Clark J, Gazard B, Medcalf R, the SELCoH study team, Hotopf M: Identifying socio-demographic and socioeconomic determinants of health inequalities in a diverse London community: the South East London Community Health (SELCoH) study. BMC Public Health (2011) 11:861

  10. c

    Evidence for Equality National Survey: a Survey of Ethnic Minorities During...

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated Nov 29, 2024
    + more versions
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    University of Manchester (2024). Evidence for Equality National Survey: a Survey of Ethnic Minorities During the COVID-19 Pandemic, 2021: Teaching Dataset [Dataset]. http://doi.org/10.5255/UKDA-SN-9249-1
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    Dataset updated
    Nov 29, 2024
    Dataset provided by
    Cathie Marsh Institute for Social Research
    Authors
    University of Manchester
    Area covered
    Great Britain
    Variables measured
    Individuals, National
    Measurement technique
    Compilation/Synthesis
    Description

    Abstract copyright UK Data Service and data collection copyright owner.


    The Evidence for Equality National Survey (EVENS) is a national survey that documents the experiences and attitudes of ethnic and religious minorities in Britain. EVENS was developed by the Centre on the Dynamics of Ethnicity (CoDE) in response to the disproportionate impacts of COVID-19 and is the largest and most comprehensive survey of the lives of ethnic and religious minorities in Britain for more than 25 years. EVENS used pioneering, robust survey methods to collect data in 2021 from 14,200 participants of whom 9,700 identify as from an ethnic or religious minority. The EVENS main dataset, which is available from the UK Data Service under SN 9116, covers a large number of topics including racism and discrimination, education, employment, housing and community, health, ethnic and religious identity, and social and political participation.

    The EVENS Teaching Dataset provides a selection of variables in an accessible form to support the use of EVENS in teaching across a range of subjects and levels of study. The dataset includes demographic data and variables to support the analysis of:

    • racism and belonging
    • health and well-being during COVID-19
    • political attitudes and trust.

    Main Topics:

    Racism, belonging, impact of COVID-19, health, well-being, financial position, political attitudes and trust.

  11. Number of hate crimes in England and Wales 2024, by offence type

    • statista.com
    Updated Mar 5, 2020
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    Statista (2020). Number of hate crimes in England and Wales 2024, by offence type [Dataset]. https://www.statista.com/statistics/623928/hate-crimes-in-england-and-wales-by-offence-type/
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    Dataset updated
    Mar 5, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 1, 2023 - Mar 31, 2024
    Area covered
    United Kingdom, Wales, England
    Description

    In 2023/24 there were ****** hate crimes defined as being public order offences in England and Wales, which was the most common offence type for hate crimes in this year.

  12. W

    Citizenship Survey: Race, Religion and Equalities Topic Report

    • cloud.csiss.gmu.edu
    • data.wu.ac.at
    html
    Updated Dec 18, 2019
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    United Kingdom (2019). Citizenship Survey: Race, Religion and Equalities Topic Report [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/citizenship_survey-race_religion_and_equalities_topic_report
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    htmlAvailable download formats
    Dataset updated
    Dec 18, 2019
    Dataset provided by
    United Kingdom
    License

    http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence

    Description

    This report explores views about racial and religious prejudice, perceptions of racial discrimination by public service organisations, and experiences of religious and employment-related discrimination using findings from the Citizenship Survey.

    Source agency: Communities and Local Government

    Designation: National Statistics

    Language: English

    Alternative title: Citizenship Survey: Race, Religion and Equalities Topic Report

  13. Race and the criminal justice system 2008-09

    • gov.uk
    Updated Jun 17, 2010
    + more versions
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    Ministry of Justice (2010). Race and the criminal justice system 2008-09 [Dataset]. https://www.gov.uk/government/statistics/race-and-the-criminal-justice-system--4
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    Dataset updated
    Jun 17, 2010
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Justice
    Description

    The 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.

  14. Number of racial hate crimes in England and Wales 2011-2024

    • statista.com
    Updated Apr 14, 2025
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    Statista (2025). Number of racial hate crimes in England and Wales 2011-2024 [Dataset]. https://www.statista.com/statistics/624093/racist-incidents-in-england-and-wales/
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    Dataset updated
    Apr 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 1, 2011 - Mar 31, 2024
    Area covered
    Wales, England
    Description

    In 2023/24 there were 98,799 racist hate crime incidents recorded by the police service in England and Wales, compared with 103,625 in the previous reporting year.

  15. Data from: Is Hiding My First Name Enough? Using Behavioural Interventions...

    • beta.ukdataservice.ac.uk
    Updated 2024
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    Helen Bao (2024). Is Hiding My First Name Enough? Using Behavioural Interventions To Mitigate Racial and Gender Discrimination in the Rental Housing Market, 2021-2022 [Dataset]. http://doi.org/10.5255/ukda-sn-856278
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    Dataset updated
    2024
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    datacite
    Authors
    Helen Bao
    Description

    This dataset contains the data used in the study titled “Is hiding my first name enough? Using behavioural interventions to mitigate racial and gender discrimination in the rental housing market”. The data was collected from the London rental housing market between 2021 and 2022. Racial and gender biases are pervasive in housing markets. Males and ethnic minorities face discrimination in rental housing markets globally. The issue has been so pronounced that it regularly makes national and international headlines. In response to a racial discrimination lawsuit, Airbnb had to hide guests’ first names from rental hosts in Oregon, USA, starting in January 2022. Yet, there is little evidence that such measurement effectively counteracts racial and gender discrimination in housing markets.

    Despite some well-established theoretical models developed more than half a century ago and a wealth of empirical evidence accumulated over the last two decades, studies examining effective solutions to combat discrimination remain sparse especially in housing markets. Given the complexity of the products and services involved and the relatively low frequency of transactions, nuanced studies are needed to understand how implicit racial and gender biases influence letting decisions.

    This study investigates housing discrimination at the intersection where longstanding market behaviours meet the evolving insights of behavioural research. Although behavioural interventions have the potential to address both statistical and taste-based discrimination in the housing market, their successful implementation remains a challenge. Given the persistent biases and socio-economic dynamics in the housing market, interventions must be carefully tailored to the context.

    By collecting evidence from field experiments, this research aims to gain insights into how real-world behavioural interventions can be effectively designed and implemented. Our focus remains twofold: to develop a robust theoretical framework and to translate its insights into tangible, impactful policy recommendations, with the ultimate goal of fostering a more inclusive housing market.

  16. f

    Tails of the Travelling Gaussian model and the relative age effect: Tales of...

    • plos.figshare.com
    xls
    Updated Jun 4, 2023
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    John R. Doyle; Paul A. Bottomley; Rob Angell (2023). Tails of the Travelling Gaussian model and the relative age effect: Tales of age discrimination and wasted talent [Dataset]. http://doi.org/10.1371/journal.pone.0176206
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOS ONE
    Authors
    John R. Doyle; Paul A. Bottomley; Rob Angell
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The Relative Age Effect (RAE) documents the inherent disadvantages of being younger rather than older in an age-banded cohort, typically a school- or competition-year, to the detriment of career-progression, earnings and wellbeing into adulthood. We develop the Tails of the Travelling Gaussian (TTG) to model the mechanisms behind RAE. TTG has notable advantages over existing approaches, which have been largely descriptive, potentially confounded, and non-comparable across contexts. In Study 1, using data from the UK’s Millennium Cohort Study, we investigate the different levels of RAE bias across school-level academic subjects and “personality” traits. Study 2 concerns biased admissions to elite English Premier League soccer academies, and shows the model can still be used with minimal data. We also develop two practical metrics: the discrimination index (ID), to quantify the disadvantages facing cohort-younger children; and the wastage metric (W), to quantify the loss through untapped potential. TTG is sufficiently well-specified to simulate the consequences of ID and W for policy change.

  17. Opinion on racism in UK society 2019-2024

    • statista.com
    Updated Sep 24, 2024
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    Statista (2024). Opinion on racism in UK society 2019-2024 [Dataset]. https://www.statista.com/statistics/1123242/opinion-on-racism-in-uk-society/
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    Dataset updated
    Sep 24, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2019 - Sep 2024
    Area covered
    United Kingdom
    Description

    As of September 2024, 46 percent of people in Great Britain thought that racism was somewhat prevalent in the United Kingdom, with 34 percent believing that there was a great deal of racism in the UK.

  18. United Kingdom UK: Law Mandates Nondiscrimination Based on Gender in Hiring:...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United Kingdom UK: Law Mandates Nondiscrimination Based on Gender in Hiring: 1=Yes; 0=No [Dataset]. https://www.ceicdata.com/en/united-kingdom/policy-and-institutions/uk-law-mandates-nondiscrimination-based-on-gender-in-hiring-1yes-0no
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2009 - Dec 1, 2017
    Area covered
    United Kingdom
    Description

    United Kingdom UK: Law Mandates Nondiscrimination Based on Gender in Hiring: 1=Yes; 0=No data was reported at 1.000 NA in 2017. This stayed constant from the previous number of 1.000 NA for 2015. United Kingdom UK: Law Mandates Nondiscrimination Based on Gender in Hiring: 1=Yes; 0=No data is updated yearly, averaging 1.000 NA from Dec 2009 (Median) to 2017, with 5 observations. The data reached an all-time high of 1.000 NA in 2017 and a record low of 1.000 NA in 2017. United Kingdom UK: Law Mandates Nondiscrimination Based on Gender in Hiring: 1=Yes; 0=No data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Policy and Institutions. Law mandates nondiscrimination based on gender in hiring is whether the law specifically prevents or penalizes gender-based discrimination in the hiring process; the law may prohibit discrimination in employment on the basis of gender but be silent about whether job applicants are protected from discrimination. Hiring refers to the process of employing a person for wages and making a selection by presenting a candidate with a job offer. Job advertisements, selection criteria and recruitment, although equally important, are not considered “hiring” for purposes of this question.; ; World Bank: Women, Business and the Law.; ;

  19. Data from: Public sector equality duty

    • gov.uk
    Updated Jul 6, 2012
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    Ministry of Justice (2012). Public sector equality duty [Dataset]. https://www.gov.uk/government/publications/public-sector-equality-duty
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    Dataset updated
    Jul 6, 2012
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Justice
    Description

    The Public sector equality duty came in to force in April 2011 (s.149 of the Equality Act 2010) and public authorities like the Ministry of Justice are now required, in carrying out their functions, to have due regard to the need to achieve the objectives set out under s149 of the Equality Act 2010 to:

    (a) eliminate discrimination, harassment, victimisation and any other conduct that is prohibited by or under the Equality Act 2010;

    (b) advance equality of opportunity between persons who share a relevant protected characteristic and persons who do not share it;

    (c) foster good relations between persons who share a relevant protected characteristic and persons who do not share it.

    To ensure transparency, and to assist in the performance of this duty, the Equality Act 2010 (Specific Duties) Regulations 2011 require public authorities, named on , to publish:

    • equality objectives, at least every four years (from 6th April 2012)
    • information to demonstrate their compliance with the public sector equality duty (from 31st January 2012)
  20. c

    Experiences of Claimants in Race Discrimination Employment Tribunal Cases,...

    • datacatalogue.cessda.eu
    Updated Nov 28, 2024
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    Aston, J. (2024). Experiences of Claimants in Race Discrimination Employment Tribunal Cases, 2005-2006 [Dataset]. http://doi.org/10.5255/UKDA-SN-5667-1
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    Dataset updated
    Nov 28, 2024
    Dataset provided by
    Institute for Employment Studies
    Authors
    Aston, J.
    Time period covered
    May 1, 2005 - Jan 1, 2006
    Area covered
    England and Wales
    Variables measured
    Individuals, National
    Measurement technique
    Face-to-face interview
    Description

    Abstract copyright UK Data Service and data collection copyright owner.


    This qualitative study for the Department of Trade and Industry (DTI) explored the perceptions and subjective experiences of claimants who were involved in Race Relations Act (RRA) employment tribunal cases.

    The main aims of the study were to explore, in-depth, the subjective experiences of claimants involved in Race Relations Act cases. It aimed to cover the following main research themes:
    • the characteristics of the parties and the nature of the dispute
    • knowledge and pre-conceptions of the tribunal system prior to making a race discrimination claim
    • reasons for applying to an employment tribunal (pathways into the tribunal system)
    • the use and experience of workplace dispute resolution procedures
    • sources of advice and representation used, and their role in the case
    • the role of the Advisory, Conciliation and Arbitration Service (ACAS)
    • the experience of tribunal hearings (if any attended)
    • the outcome of the case, especially, subjective explanations for the outcome of the case
    • the costs and benefits to the applicant of bringing the case
    • the experience of the tribunal process as a whole
    Forty claimants were interviewed face to face and the interviews were recorded and transcribed, or written up in detail where recording was not possible. Of these, 33 consented to being deposited with the UK Data Archive (UKDA). The study found that claims originate through a complex process. Claimants described their claims as having originated in a mixture of both overt racism and other unfair treatment that was not, on the face of it, racist. Claimants felt that challenging issues of discrimination with their employer had ultimately contributed to the deterioration of the working relationship. Their primary motivation for taking the claim was justice rather than potential financial gain. Claimants tended to be unaware of what would be involved in taking an employment tribunal case. Their expectations of the employment tribunal process were very different from their reported experiences, particularly regarding how long the process would take, the amount of work involved, the amount of legal knowledge required and the need for representation.
    Main Topics:

    Employment tribunal, race discrimination, RRA, claimants, experiences

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Statista (2024). Racial prejudice in Great Britain from 1983 to 2017 [Dataset]. https://www.statista.com/statistics/304288/racial-prejudice-in-great-britain-gb-uk/
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Racial prejudice in Great Britain from 1983 to 2017

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Dataset updated
Aug 9, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United Kingdom, Great Britain
Description

This statistic shows the result of a question from the British Social Attitudes survey which asked 'would you describe yourself as very prejudiced/a little prejudiced against people of other races?' Over this 34-year period there was a net decrease in the share of respondents saying that they were, at least to some extent, prejudiced when it came to people of other races.

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