21 datasets found
  1. United Kingdom - ethnicity

    • statista.com
    Updated Apr 15, 2025
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    Statista (2025). United Kingdom - ethnicity [Dataset]. https://www.statista.com/statistics/270386/ethnicity-in-the-united-kingdom/
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    Dataset updated
    Apr 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2011
    Area covered
    United Kingdom
    Description

    In 2011, 87.2 percent of the total population of the United Kingdom were white British. A positive net migration in recent years combined with the resultant international relationships following the wide-reaching former British Empire has contributed to an increasingly diverse population.

    Varied ethnic backgrounds

    Black British citizens, with African and/or African-Caribbean ancestry, are the largest ethnic minority population, at three percent of the total population. Indian Britons are one of the largest overseas communities of the Indian diaspora and make up 2.3 percent of the total UK population. Pakistani British citizens, who make up almost two percent of the UK population, have one of the highest levels of home ownership in Britain.

    Racism in the United Kingdom

    Though it has decreased in comparison to the previous century, the UK has seen an increase in racial prejudice during the first decade and a half of this century. Racism and discrimination continues to be part of daily life for Britain’s ethnic minorities, especially in terms of work, housing, and health issues. Moreover, the number of hate crimes motivated by race reported since 2012 has increased, and in 2017/18, there were 3,368 recorded offenses of racially or religiously aggravated assault with injury, almost a thousand more than in 2013/14.

  2. Average gross weekly household income in the UK 2021, by ethnic group

    • statista.com
    Updated Mar 18, 2025
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    Statista (2025). Average gross weekly household income in the UK 2021, by ethnic group [Dataset]. https://www.statista.com/statistics/944052/household-income-by-ethnicity-in-the-uk-2017/
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    Dataset updated
    Mar 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    As of 2021, households in the United Kingdom where the head of the household was of an other ethnic background had the highest proportion of household income earning more than 2,000 pounds a week, at 11 percent.

  3. s

    Income distribution

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Aug 8, 2023
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    Race Disparity Unit (2023). Income distribution [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/work-pay-and-benefits/pay-and-income/income-distribution/latest
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    csv(443 KB)Available download formats
    Dataset updated
    Aug 8, 2023
    Dataset authored and provided by
    Race Disparity Unit
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    An average of 79% of Bangladeshi households were in the 2 lowest income quintiles (after housing costs were deducted) between April 2019 and March 2022

  4. s

    Data from: Employment by occupation

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Jul 27, 2022
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    Race Disparity Unit (2022). Employment by occupation [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/work-pay-and-benefits/employment/employment-by-occupation/latest
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    csv(309 KB)Available download formats
    Dataset updated
    Jul 27, 2022
    Dataset authored and provided by
    Race Disparity Unit
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    39.8% of workers from the Indian ethnic group were in 'professional' jobs in 2021 – the highest percentage out of all ethnic groups in this role.

  5. s

    Socioeconomic status

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Jun 13, 2025
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    Race Disparity Unit (2025). Socioeconomic status [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/uk-population-by-ethnicity/demographics/socioeconomic-status/latest
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    csv(638 KB)Available download formats
    Dataset updated
    Jun 13, 2025
    Dataset authored and provided by
    Race Disparity Unit
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    England and Wales
    Description

    In 2021, 20.1% of people from the Indian ethnic group were in higher managerial and professional occupations – the highest percentage out of all ethnic groups in this socioeconomic group.

  6. s

    Sources of household income

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Aug 8, 2023
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    Race Disparity Unit (2023). Sources of household income [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/work-pay-and-benefits/pay-and-income/sources-of-household-income/latest
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    csv(150 KB)Available download formats
    Dataset updated
    Aug 8, 2023
    Dataset authored and provided by
    Race Disparity Unit
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    Households in the Indian and White Other ethnic groups received the highest percentage of their income from employment out of all ethnic groups.

  7. Non-British population of the UK 2021, by nationality

    • statista.com
    Updated Apr 9, 2025
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    Statista (2025). Non-British population of the UK 2021, by nationality [Dataset]. https://www.statista.com/statistics/759859/non-british-population-in-united-kingdom-by-nationality/
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    Dataset updated
    Apr 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    In 2020/21 there were approximately 696,000 Polish nationals living in the United Kingdom, the highest non-British population at this time. Indian and Irish were the joint second-largest nationalities at approximately 370,000 people.

  8. Stop and search rate in England and Wales 2010-2024, by ethnicity

    • statista.com
    Updated Sep 30, 2024
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    Statista (2024). Stop and search rate in England and Wales 2010-2024, by ethnicity [Dataset]. https://www.statista.com/statistics/284677/police-stop-and-searches-in-england-and-wales-by-ethnicity/
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    Dataset updated
    Sep 30, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 1, 2010 - Mar 31, 2024
    Area covered
    United Kingdom, Wales, England
    Description

    In 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.

  9. s

    State support

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Jul 12, 2022
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    Race Disparity Unit (2022). State support [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/work-pay-and-benefits/benefits/state-support/latest
    Explore at:
    csv(256 KB)Available download formats
    Dataset updated
    Jul 12, 2022
    Dataset authored and provided by
    Race Disparity Unit
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    In the 3 years to March 2021, white British families were the most likely to receive a type of state support.

  10. c

    Undocumented migrants and ethnic enclave employers

    • datacatalogue.cessda.eu
    Updated Jun 4, 2025
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    Bloch, A (2025). Undocumented migrants and ethnic enclave employers [Dataset]. http://doi.org/10.5255/UKDA-SN-851487
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    Dataset updated
    Jun 4, 2025
    Dataset provided by
    University of Manchester
    Authors
    Bloch, A
    Time period covered
    Apr 1, 2013 - Jan 31, 2014
    Area covered
    United Kingdom
    Variables measured
    Individual
    Measurement technique
    Two populations were studied in this research: undocumented migrants and ethnic enclave employers. In-depth qualitative interviews were used for both study populations. A total of 55 interviews with undocumented migrants and 24 with ethnic enclave employers from Bangladeshi, Chinese, Turkish (including Kurds from Turkey and Northern Cypriots) populations who were living in London at the time of the fieldwork. Non-probably sampling techniques were used for both study populations. Participants were found using networking and chain referral / snowballing methods that included multiple starting points from community organisations, migrant and refugee support groups, cold calling, snowballing through other interviewees and interviewer and research contacts. Quotas were set for key variables for the interviews with undocumented migrants. An asynchronous internet focus group, conducted through an email group was carried out with seven employer participants. Anonymous email accounts were set up for those who expressed their interest ensuring complete confidentiality and anonymity. Once the email addresses were set up and the participants signed up, the research team posted questions to the group and the participants could reply to the question, and to each other’s comments through Reply All. The discussion was open for three weeks.
    Description

    The research collected qualitative interview data from 55 undocumented migrants and 24 ethnic enclave employers from Bangladeshi, Chinese, Turkish (including Kurds from Turkey and Northern Cypriots) communities who were living in London. The three groups were selected for their sizeable presence among London’s minority ethnic communities but also their migration histories, reasons for migration and pathways to the UK have been different, providing the variance of experiences that we were looking for in the study. The fieldwork took place between February 2012 and April 2013.

    Interviews with undocumented migrants:

    Of the 55 interviews carried out, 20 interviews were with undocumented migrants from China, 20 with undocumented migrants from Turkey (including Kurds and Northern Cypriots) people and 15 with undocumented migrants from Bangladesh.

    Trained interviewers, with relevant community language skills, carried out the interviews with undocumented migrants in first languages and translated, transcribed and anonymised the transcripts. The project team carried out detailed training about the project, in-depth interviewing, translations and transcriptions, networking and sampling and research ethics.

    A number of starting points into networks were used to identify interviewees as a way of ensuring greater diversity than would have been the case if we had drawn from fewer networks, as networks are often quite homogeneous.

    Indicative quotas to obtain different social and demographic profiles that were relevant for the research questions were used to guide the fieldwork. These included quotas for sex, length of time in the UK and place of employment, either within or outside of the ethnic enclave. In the final sample of undocumented migrants, 40 were men and 15 were women reflecting the greater difficulties we had locating women who were living as undocumented migrants due, in part, to the mores hidden nature of their experiences within domestic settings.

    Interviews with Employers:

    Interviews were carried out with 24 employers. The final sample of employers comprised 7 Bangladeshi, 8 Chinese and 9 Turkish entrepreneurs of whom 6 were Kurds from Turkey, 2 were Turkish and 1 was from Northern Cyprus. Five interviewees were female and 19 were male. With the exception of one Bangladeshi heritage woman who ran a family owned business, all the other employers interviewed were migrants born outside of Britain. Length of time in Britain ranged from 9 years to over 40 years.

    The interviews were carried out in English by the university based research team. Employers were identified for interview using chain referral methods starting at multiple access points for greater sample heterogeneity. Initial points of access included cold calling at businesses, gatekeepers from community organisations and through the networks of the community researchers. Our success at finding employers willing to be interviewed was due in part to the timing of the fieldwork, which took place after most of the interviews with undocumented migrants had been carried out and so we were able to effectively utilise some of the networks that had been developed for that part of the research.

    An asynchronous internet focus group, conducted through an email group was carried out with seven employer participants.

    This research explores the labour market experiences of undocumented migrants from Bangladesh, China and Turkey (including Kurds) living and working in London and the motivations of minority ethnic entrepreneurs employing people from these three groups. The study examines the ways in which undocumented migrants and their employers use social networks and other resources in relation to job seeking and work and how working relationships operate within frameworks of ethnicity, class and gender. Any additional disadvantages that might exist as a consequence of imbalanced power relationships due to immigration status and the extent to which employment relationships within ethnic enclave employment replicate or differ from employment relationships in general are examined. We are concerned to understand the ways in which being undocumented intersects with employment experiences and decision making about work and recruitment from both the perspectives of migrants and their employers, while engaging critically with theories of social capital. The research is based on in-depth interviews with 60 undocumented migrants, male and female, 30 working inside ethnic enclaves and 30 outside and with 24 minority ethnic employers running enclave businesses. Two asynchronous Internet focus groups with employers of undocumented migrants will be conducted to obtain a collective employer perspective.

  11. Gender and Ethnicity Pay Gap Report as at 31 March 2023

    • gov.uk
    Updated Apr 23, 2024
    + more versions
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    Regulator of Social Housing (2024). Gender and Ethnicity Pay Gap Report as at 31 March 2023 [Dataset]. https://www.gov.uk/government/publications/gender-and-ethnicity-pay-gap-report-as-at-31-march-2024
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    Dataset updated
    Apr 23, 2024
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Regulator of Social Housing
    Description

    Contents

    Gender pay gap

    Ethnicity pay gap

    Foreword

    This report reflects our gender and ethnicity pay gap data as of March 2023, which we annually report in arrears.

    Although our staff count falls below the 250-employee threshold for mandatory gender pay gap reporting, we have voluntarily chosen to publish our findings for the fifth year, believing it aligns with best practices and promotes transparency in pay across the public sector.

    We continue to strive for an inclusive, welcoming, and fair environment for all members of our team. These plans encompass various aspects of our operations, from recruitment and promotions to training and mentorship, all aimed at eliminating barriers and promoting equal opportunities. The ultimate goal is to ensure that every member of our organisation is provided with a fair and equal path to success to support the regulator in driving change in the social housing sector to deliver more and better social housing.

    Gender Identity

    In accordance with the current requirements for reporting on the gender pay gap, our approach involves categorising gender into male and female within our data classification.

    It is important to note that we define gender in accordance with the classifications provided by His Majesty’s Revenue and Customs (HMRC), which categorise individuals as male or female, in our data.

    In the context of this report, we have employed the terms ‘gender,’ ‘male,’ and ‘female,’ understanding that they typically relate to biological sex. However, it’s important to acknowledge that for some individuals, these terms may not fully encapsulate their gender identity.

    How the Gender Pay Gap is worked out

    In 2017, the government introduced a statutory requirement for organisations with 250 or more employees to report annually on their gender pay gap. Government departments are covered by the https://www.legislation.gov.uk/uksi/2017/353/contents/made" class="govuk-link">Equality Act 2010 (Specific Duties and Public Authorities) Regulations 2017 which came into force on 31 March 2017. These regulations underpin the Public Sector Equality Duty and require the relevant organisations to annually publish their gender pay gap data on:

    • Mean and median gender pay gap in hourly pay,
    • Mean and median bonus gender pay gap,
    • Proportion of men and women receiving a bonus payment; and
    • Proportion of men and women in each pay quartile.

    The gender pay gap shows the difference in the average pay between all men and women in a workforce. Mean and median gender pay gap figures are based on a comparison of men and women’s hourly pay across the organisation irrespective of grade, which means that the gap shows the difference in the average pay between all men and women in the organisation’s workforce.

    • The mean figure is the percentage difference between the mean average hourly rates of men and women’s pay.

    • The median figure is the percentage difference between the midpoints in the ranges of men and women’s pay.

    • The bonus gap refers to bonus payments paid to men and women employees during the 12 months period prior to the snapshot date.

    Our gender pay gap at 31 March 2023

    Our figures at 31 March 2023

    https://assets.publishing.service.gov.uk/media/662773a0838212a903a7e52c/gender_pay_gap_comparative_years.png" alt="">

    Data table

    <table

  12. c

    Co-POWeR: Consortium on Practices of Wellbeing and Resilience in Black,...

    • datacatalogue.cessda.eu
    Updated May 27, 2025
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    Solanke, I; Bhattacharyya, G; Gupta, A, Royal Holloway; Bernard, C, Goldsmiths; Lakhanpaul, M; Rai, S; Stokes, M; Ayisi, F; Kaur, R; Padmadas, S (2025). Co-POWeR: Consortium on Practices of Wellbeing and Resilience in Black, Asian and Minority Ethnic Families and Communities, 2023 [Dataset]. http://doi.org/10.5255/UKDA-SN-856500
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    Dataset updated
    May 27, 2025
    Dataset provided by
    UCL
    University of Southampton
    University of East London
    University of South Wales
    University of Leeds
    University of Warwick
    University of Sussex
    University of London
    Authors
    Solanke, I; Bhattacharyya, G; Gupta, A, Royal Holloway; Bernard, C, Goldsmiths; Lakhanpaul, M; Rai, S; Stokes, M; Ayisi, F; Kaur, R; Padmadas, S
    Time period covered
    Feb 12, 2021 - Feb 11, 2023
    Area covered
    United Kingdom
    Variables measured
    Individual, Organization, Family, Group
    Measurement technique
    Data was generated mainly using qualitative methodology (interviews, focus groups, participatory workshops). The data was mainly collected using remote methods due to national COVID restrictions. When possible, data was collected in person.Data was collected from participants in cities across England and Wales, including London, Leeds, Leicester, Southampton, Bristol, Newport and Cardiff.Data was collected in collaboration with members of the Co-POWeR Community Engagement Panel.
    Description

    The 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.

    Two viruses - COVID-19 and discrimination - are currently killing in the UK (Solanke 2020), especially within BAMEFC who are hardest hit. Survivors face ongoing damage to wellbeing and resilience, in terms of physical and mental health as well as social, cultural and economic (non-medical) consequences. Psychosocial (ADCS 2020; The Children's Society 2020)/ physical trauma of those diseased and deceased, disproportionate job-loss (Hu 2020) multigenerational housing, disrupted care chains (Rai 2016) lack of access to culture, education and exercise, poor nutrition, 'over-policing' (BigBrotherWatch 2020) hit BAMEFC severely. Local 'lockdowns' illustrate how easily BAMEFC become subject to stigmatization and discrimination through 'mis-infodemics' (IOM 2020). The impact of these viruses cause long-term poor outcomes. While systemic deficiencies have stimulated BAMEFC agency, producing solidarity under emergency, BAMEFC vulnerability remains, requiring official support. The issues are complex thus we focus on the interlinked and 'intersectional nature of forms of exclusion and disadvantage', operationalised through the idea of a 'cycle of wellbeing and resilience' (CWAR) which recognises how COVID-19 places significant stress upon BAMEFC structures and the impact of COVID-19 and discrimination on different BAMEFC cohorts across the UK, in whose lives existing health inequalities are compounded by a myriad of structural inequalities. Given the prevalence of multi-generational households, BAMEFC are likely to experience these as a complex of jostling over-lapping stressors: over-policed unemployed young adults are more likely to live with keyworkers using public transport to attend jobs in the front line, serving elders as formal/informal carers, neglecting their health thus exacerbating co-morbidities and struggling to feed children who are unable to attend school, resulting in nutritional and digital deprivation. Historical research shows race/class dimensions to national emergencies (e.g. Hurricane Katrina) but most research focuses on the COVID-19 experience of white families/communities. Co-POWeR recommendations will emerge from culturally and racially sensitive social science research on wellbeing and resilience providing context as an essential strand for the success of biomedical and policy interventions (e.g. vaccines, mass testing). We will enhance official decision-making through strengthening cultural competence in ongoing responses to COVID-19 thereby...

  13. s

    Further education participation

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Jun 12, 2025
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    Race Disparity Unit (2025). Further education participation [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/education-skills-and-training/a-levels-apprenticeships-further-education/further-education-participation/latest
    Explore at:
    csv(39 KB)Available download formats
    Dataset updated
    Jun 12, 2025
    Dataset authored and provided by
    Race Disparity Unit
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    England
    Description

    In the 10 years to July 2024, the percentage of further education students who were from Asian, Black, Mixed and Other ethnic backgrounds went up from 19.7% to 27.9%.

  14. s

    Civil Service workforce

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Oct 11, 2024
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    Race Disparity Unit (2024). Civil Service workforce [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/workforce-and-business/workforce-diversity/civil-service-workforce/latest
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    csv(13 MB)Available download formats
    Dataset updated
    Oct 11, 2024
    Dataset authored and provided by
    Race Disparity Unit
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    UK and overseas
    Description

    White people made up 83.4% of civil servants in March 2024 – they made up 80.7% of the working age population (16 to 64 year olds) in the 2021 Census.

  15. s

    Renting social housing

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Apr 8, 2025
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    Race Disparity Unit (2025). Renting social housing [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/housing/social-housing/renting-from-a-local-authority-or-housing-association-social-housing/latest
    Explore at:
    csv(59 KB)Available download formats
    Dataset updated
    Apr 8, 2025
    Dataset authored and provided by
    Race Disparity Unit
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    England
    Description

    Households from the Black Caribbean, Mixed White and Black Caribbean, and Bangladeshi ethnic groups were most likely to rent social housing in the 2 years from April 2021 to March 2023.

  16. s

    Average score for students taking A levels and other qualifications

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Oct 22, 2024
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    Race Disparity Unit (2024). Average score for students taking A levels and other qualifications [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/education-skills-and-training/a-levels-apprenticeships-further-education/average-score-for-students-taking-a-levels-and-other-qualifications/latest/
    Explore at:
    csv(80 KB)Available download formats
    Dataset updated
    Oct 22, 2024
    Dataset authored and provided by
    Race Disparity Unit
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    England
    Description

    A level students in the Chinese ethnic group had an average point score of 39.83 in the 2022 to 2023 academic year – the highest score out of all ethnic groups.

  17. s

    Fire and rescue services workforce

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Jun 4, 2025
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    Race Disparity Unit (2025). Fire and rescue services workforce [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/workforce-and-business/workforce-diversity/fire-and-rescue-services-workforce/latest
    Explore at:
    csv(641 KB)Available download formats
    Dataset updated
    Jun 4, 2025
    Dataset authored and provided by
    Race Disparity Unit
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    England
    Description

    In 2024, 94.0% of all fire and rescue staff in England were White (out of those whose ethnicity was known).

  18. s

    Victims of racial and religious hate crime

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Apr 9, 2025
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    Race Disparity Unit (2025). Victims of racial and religious hate crime [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/crime-justice-and-the-law/crime-and-reoffending/victims-of-racial-and-religious-hate-crime/latest
    Explore at:
    csv(68 KB)Available download formats
    Dataset updated
    Apr 9, 2025
    Dataset authored and provided by
    Race Disparity Unit
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    England and Wales
    Description

    In the year ending in March 2024, 31.3% of victims of racially or religiously aggravated hate crime were Asian, 30.6% were White, and 23.1% were Black.

  19. Top 10 countries of birth for foreign born Australian residents 2023

    • statista.com
    Updated Sep 5, 2024
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    Statista (2024). Top 10 countries of birth for foreign born Australian residents 2023 [Dataset]. https://www.statista.com/statistics/594722/australia-foreign-born-population-by-country-of-birth/
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    Dataset updated
    Sep 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Australia
    Description

    Migrants from the United Kingdom have long been Australia’s primary immigrant group and in 2023 there were roughly 960 thousand English-born people living in Australia. India and China held second and third place respectively with regard to Australia’s foreign-born population. The relative dominance of Asian countries in the list of top ten foreign-born residents of Australia represents a significant shift in Australia’s immigration patterns over the past few decades. Where European-born migrants had previously overshadowed other migrant groups, Australian migration figures are now showing greater migration numbers from neighboring countries in Asia and the Pacific. A history of migration Australia is often referred to as an ‘immigrant nation’, alongside the United States, Canada, and New Zealand. Before the Second World War, migrants to Australia were almost exclusively from the UK, however after 1945, Australia’s immigration policy was broadened to attract economic migrants and temporary skilled migrants. These policy changes saw and increase in immigrants particularly from Greece and Italy. Today, Australia maintains its status as an ‘’Immigrant nation’’, with almost 30 percent of the population born overseas and around 50 percent of the population having both that were born overseas. Australian visas The Australian immigration program has two main categories of visa, permanent and temporary. The permanent visa category offers three primary pathways: skilled, family and humanitarian. The skilled visa category is by far the most common, with more than a million permanent migrants living in Australia on this visa category at the last Australian census in 2021. Of the temporary visa categories, the higher education visa is the most popular, exceeding 180 thousand arrivals in 2023.

  20. Foreign population Spain 2023, by nationality

    • statista.com
    Updated Jan 22, 2025
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    Statista (2025). Foreign population Spain 2023, by nationality [Dataset]. https://www.statista.com/statistics/445784/foreign-population-in-spain-by-nationality/
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    Dataset updated
    Jan 22, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2023
    Area covered
    Spain
    Description

    As recorded by the source, Moroccans ranked as the foreign nationality with more residents in Spain in 2023, closely followed by Romanians. After years of losing its foreign population, Spain’s immigration figures started to pick up in 2015, with the number of people that moved to the Mediterranean country surpassing the number of foreigners that decided to leave.

    A matter of balance The net migration rate of Spain changed its course mainly due to the great inflow of foreigners that move to reside in the Mediterranean country. Spain’s immigration flow slowed down after the 2008 financial crisis, albeit the number of foreigners that opted to change their residence saw a significant growth in the last years. In 2022, Colombians ranked first as the foreign nationality that most relocated to Spain, distantly followed by Moroccans and Ukranians.

    Spain does not have the highest number of immigrants in Europe In recent years, the European Union confronted a rising number of refugees arriving from the Middle East. Migration figures show that Germany accommodated approximately 15 million foreign-born citizens, ranking it as the country that most hosted immigrants in Europe in 2022. By comparison, Spain’s foreign population stood slightly over seven million, positioning the Western Mediterranean country third on the European list of foreign-born population. Unfortunately, thousands of persons have died ore gone missing trying to reach Spanish territory, as more and more irregular migrants opt to use dangerous maritime routes to arrive at Southern Europe from Africa's coasts.

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Statista (2025). United Kingdom - ethnicity [Dataset]. https://www.statista.com/statistics/270386/ethnicity-in-the-united-kingdom/
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United Kingdom - ethnicity

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8 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Apr 15, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2011
Area covered
United Kingdom
Description

In 2011, 87.2 percent of the total population of the United Kingdom were white British. A positive net migration in recent years combined with the resultant international relationships following the wide-reaching former British Empire has contributed to an increasingly diverse population.

Varied ethnic backgrounds

Black British citizens, with African and/or African-Caribbean ancestry, are the largest ethnic minority population, at three percent of the total population. Indian Britons are one of the largest overseas communities of the Indian diaspora and make up 2.3 percent of the total UK population. Pakistani British citizens, who make up almost two percent of the UK population, have one of the highest levels of home ownership in Britain.

Racism in the United Kingdom

Though it has decreased in comparison to the previous century, the UK has seen an increase in racial prejudice during the first decade and a half of this century. Racism and discrimination continues to be part of daily life for Britain’s ethnic minorities, especially in terms of work, housing, and health issues. Moreover, the number of hate crimes motivated by race reported since 2012 has increased, and in 2017/18, there were 3,368 recorded offenses of racially or religiously aggravated assault with injury, almost a thousand more than in 2013/14.

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