16 datasets found
  1. s

    Data from: Regional ethnic diversity

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Dec 22, 2022
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    Race Disparity Unit (2022). Regional ethnic diversity [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/uk-population-by-ethnicity/national-and-regional-populations/regional-ethnic-diversity/latest
    Explore at:
    csv(1 MB), csv(47 KB)Available download formats
    Dataset updated
    Dec 22, 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
    England
    Description

    According to the 2021 Census, London was the most ethnically diverse region in England and Wales – 63.2% of residents identified with an ethnic minority group.

  2. United Kingdom - ethnicity

    • statista.com
    Updated Aug 2, 2019
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    Statista (2019). United Kingdom - ethnicity [Dataset]. https://www.statista.com/statistics/270386/ethnicity-in-the-united-kingdom/
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    Dataset updated
    Aug 2, 2019
    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.

  3. Inner London (UK): population 2011, by ethnic group

    • statista.com
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    Statista, Inner London (UK): population 2011, by ethnic group [Dataset]. https://www.statista.com/statistics/381070/population-in-inner-london-united-kingdom-uk-by-ethnicity/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 27, 2011
    Area covered
    United Kingdom
    Description

    This statistic shows the distribution of ethnic groups of Inner London, United Kingdom (UK) at the time of the 2011 National Census. 'White' is the largest group, at 57.2 percent of the population, followed by 'Black / African / Caribbean / Black British,' and Asian / Asian British.'

  4. Race and the criminal justice system statistics 2018

    • gov.uk
    Updated Nov 28, 2019
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    Ministry of Justice (2019). Race and the criminal justice system statistics 2018 [Dataset]. https://www.gov.uk/government/statistics/race-and-the-criminal-justice-system-statistics-2018
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    Dataset updated
    Nov 28, 2019
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Justice
    Description

    The 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.

    Introduction

    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.

    Key findings

    Victims

    • The Asian ethnic group had the lowest proportion of both adults (2%) and children (5%) who had experienced personal crime in the last year. In 2018/19, both adults and children from the Asian ethnic group were half as likely to report victimisation when compared to the White ethnic group.
    • A higher proportion of Black homicides were against children, 17% of Black victims were 17 or younger, compared to an average of 11% across all ethnicities. Between 2015/16 and 2017/18, Black children made up 20% of all child victims, while Black victims made up 13% of victims across all age groups.

    Police Activity

    • The proportion of stop and searches conducted on White suspects decreased from 75% in 2014/15 to 59% in 2018/19 and increased for all minority ethnic groups. The largest increases were from 13% to 22% for Black suspects and from 8% to 13% for Asian suspects.
    • In the last five years, the proportion of stop and searches involving Black suspects in London increased from 30% to 37%, now equal to the number of White suspects searched. In 2018/19, 48% of all stop and searches (where ethnicity is known) were conducted in London, and increasingly involving a higher proportion of suspects from minority ethnic groups when compared to the rest of England and Wales.
    • Black suspects had the highest proportion of arrests that resulted from stop and searches in the latest year, at 20% which has increased from 15% since 2014/15. This is driven by a higher number of stop and searches in London, where resultant arrests accounted for 22% of all arrests, compared to 5% for the rest of England and Wales. For other groups, between 6% and 13% of arrests resulted from stop and searches.
    • In 2018/19, two thirds (67%) of children arrested in London were from minority ethnic groups, compared to 21% of children arrested in the rest of England and Wales. Just over half (52%) of adults arrested in London were from minority ethnic groups, compared to 22% of adults arrested in the rest of England and Wales.

    Defendants

    • In the latest year, the largest fall in the volume of prosecutions and convictions for indictable offences was seen in the Asian group, down by 22% and 20% respectively. Prosecutions and convictions fell by 18% and 16% for Black defendants, by 13% each for White defendants, by 8% and 10% for defendants from Mixed ethnic groups and by 7% and 14% for defendants from Chinese or Other ethnic groups.
    • White defendants consistently had the highest conviction ratio for indictable offences over the last 5 years (with the exception of 2015) and was 85% in 2018. The conviction ratios for White, Asian (83%) and Black (81%) defendants have converged with each other over the last 5 years, remained constant for defendants from Mixed ethnic groups (77%) and fallen for Chinese or Other ethnic groups (75%).
    • Compared to White defendants (38%), larger proportions of Asian (40%), Mixed ethnicity (45%), Black (46%) and Chinese or Other (46%) defendants were remanded in custody for indictable

  5. u

    EVENS

    • datacatalogue.ukdataservice.ac.uk
    Updated Mar 25, 2024
    + more versions
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    Finney, N., University of St Andrews, Department of Geography and Sustainable Development; Nazroo, J., University of Manchester, School of Social Sciences, Sociology; Shlomo, N., University of Manchester, School of Social Sciences; Kapadia, D., University of Manchester, School of Social Sciences, Sociology; Becares, L., King's College London; Byrne, B., University of Manchester, Department of Sociology (2024). EVENS [Dataset]. http://doi.org/10.5255/UKDA-SN-9116-1
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    Dataset updated
    Mar 25, 2024
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    Finney, N., University of St Andrews, Department of Geography and Sustainable Development; Nazroo, J., University of Manchester, School of Social Sciences, Sociology; Shlomo, N., University of Manchester, School of Social Sciences; Kapadia, D., University of Manchester, School of Social Sciences, Sociology; Becares, L., King's College London; Byrne, B., University of Manchester, Department of Sociology
    Area covered
    United Kingdom
    Description
    The Centre on the Dynamics of Ethnicity (CoDE), led by the University of Manchester with the Universities of St Andrews, Sussex, Glasgow, Edinburgh, LSE, Goldsmiths, King's College London and Manchester Metropolitan University, designed and carried out the Evidence for Equality National Survey (EVENS), with Ipsos as the survey partner. EVENS documents the lives of ethnic and religious minorities in Britain during the coronavirus pandemic and is, to date, the largest and most comprehensive survey to do so.

    EVENS used online and telephone survey modes, multiple languages, and a suite of recruitment strategies to reach the target audience. Words of Colour coordinated the recruitment strategies to direct participants to the survey, and partnerships with 13 voluntary, community and social enterprise (VCSE) organisations[1] helped to recruit participants for the survey.

    The ambition of EVENS was to better represent ethnic and religious minorities compared to existing data sources regarding the range and diversity of represented minority population groups and the topic coverage. Thus, the EVENS survey used an 'open' survey approach, which requires participants to opt-in to the survey instead of probability-based approaches that invite individuals to participate following their identification within a pre-defined sampling frame. This 'open' approach sought to overcome some of the limitations of probability-based methods in order to reach a large number and diverse mix of people from religious and ethnic minorities.

    EVENS included a wide range of research and policy questions, including education, employment and economic well-being, housing, social, cultural and political participation, health, and experiences of racism and discrimination, particularly with respect to the impact of the COVID-19 pandemic. Crucially, EVENS covered a full range of racial, ethnic and religious groups, including those often unrepresented in such work (such as Chinese, Jewish and Traveller groups), resulting in the participation of 14,215 participants, including 9,702 ethnic minority participants and a general population sample of 4,513, composed of White people who classified themselves as English, Welsh, Scottish, Northern Irish, and British. Data collection covered the period between 16 February 2021 and 14 August 2021.

    Further information about the study can be found on the EVENS project website.

    A teaching dataset based on the main EVENS study is available from the UKDS under SN 9249.

    [1] The VCSE organisations included Business in the Community, BEMIS (Scotland), Ethnic Minorities and Youth Support Team (Wales), Friends, Families and Travellers, Institute for Jewish Policy Research, Migrants' Rights Networks, Muslim Council Britain, NHS Race and Health Observatory, Operation Black Vote, Race Equality Foundation, Runnymede Trust, Stuart Hall Foundation, and The Ubele Initiative.
  6. s

    Stop and search

    • ethnicity-facts-figures.service.gov.uk
    • monwebsite.ch
    csv
    Updated Jul 3, 2024
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    Race Disparity Unit (2024). Stop and search [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/crime-justice-and-the-law/policing/stop-and-search/latest
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    csv(3 MB)Available download formats
    Dataset updated
    Jul 3, 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 and Wales
    Description

    Between April 2022 and March 2023, there were 24.5 stop and searches for every 1,000 black people in England and Wales. There were 5.9 for every 1,000 white people.

  7. u

    Diversity and the white working class focus group data

    • datacatalogue.ukdataservice.ac.uk
    Updated May 13, 2016
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    Kaufmann, E, Birkbeck College; Harris, G, Birkbeck College (2016). Diversity and the white working class focus group data [Dataset]. http://doi.org/10.5255/UKDA-SN-851519
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    Dataset updated
    May 13, 2016
    Authors
    Kaufmann, E, Birkbeck College; Harris, G, Birkbeck College
    Area covered
    United Kingdom
    Description

    Four focus groups of 15 individuals each were conducted in greater London and Birmingham in adjacent locales, one diverse, one more homogeneous. Locations were Croydon and Bromley in Greater London, and Lozells and Sutton Coldfield in Greater Birmingham. Participants were paid £30 apiece for their time and recruited by a Recruitment company.

    Respondents were asked about perceptions of immigration and residential choice. We explored the 'halo' effect among those in whiter areas living in proximity to diversity, and the 'contact' effect of whites living with minorities in diverse areas. The former is theorised to increase threat perceptions of diversity, the latter to mitigate them.

    Questions also explored ethnically motivated 'white flight' or whether social ties and amenities account for ethnic sorting. The link between immigration and issues of fairness, housing, services and employment was also broached.

    Locations and dates:

    3rd April, East Croydon United Reform Church, 6-7.30pm (diverse area) 8th April, Hayes Village Hall, Bromley, 6-7.30pm (White area)

    9th April, Trinity Centre, Sutton Coldfield. 6-7.30pm (White area) 10th April, Lozells Methodist Community Centre, Birmingham, 6-7.30pm (diverse area)

    This project advances the hypothesis that ethnic change in England and Wales is associated with white working-class ‘exit,’ ‘voice’, or ‘accommodation’. ‘Voice’ is manifested as a rise in ethnic nationalist voting and anti-immigration sentiment and ‘exit’ as outmigration from, or avoidance of, diverse locales. Once areas reach a threshold of minority population share, however, these initial responses may give way to ‘accommodation’ in the form of decreased ethno-nationalist voting, reduced anti-immigration sentiment and lower white outmigration. In the course of our investigation, we ask the policy-relevant question: do residential integration and minority acculturation calm or fuel white working-class exit and voice? In other words, does contact improve ethnic relations or do ‘good fences make good neighbours’? This research adds to existing scholarship by integrating individual data with a more complex array of contextual variables, blending quantitative methods with focus-group qualitative research.

  8. Number of Black and minority MPs in the UK parliament 1987-2024, by party

    • statista.com
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    Statista, Number of Black and minority MPs in the UK parliament 1987-2024, by party [Dataset]. https://www.statista.com/statistics/1123206/non-white-mps-in-uk-parliament-by-political-party/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    In 2024, 90 of the United Kingdom's 650 Members of Parliament were non-white, 66 of which were members of the Labour Party, while 15 were in the Conservative party, and five non-white MPs were members of the Liberal Democrats.

  9. 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.

  10. s

    Travel

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Aug 8, 2023
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    Race Disparity Unit (2023). Travel [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/culture-and-community/transport/travel/latest
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    csv(17 KB), csv(233 KB), csv(254 KB), csv(175 KB), csv(105 KB), csv(162 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
    England
    Description

    In the 5 years to March 2019, white people made the highest percentage of trips by car or van out of all ethnic groups (63%).

  11. u

    Ethnic Minority Young People: Differential Treatment in the Youth Justice...

    • datacatalogue.ukdataservice.ac.uk
    Updated Jul 29, 2011
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    Hough, M., King's College London, School of Law; Gyateng, T., King's College London, Institute for Criminal Policy Research (2011). Ethnic Minority Young People: Differential Treatment in the Youth Justice System, 2006 [Dataset]. http://doi.org/10.5255/UKDA-SN-6749-1
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    Dataset updated
    Jul 29, 2011
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    Hough, M., King's College London, School of Law; Gyateng, T., King's College London, Institute for Criminal Policy Research
    Time period covered
    Jan 1, 2006 - Dec 1, 2006
    Area covered
    England
    Description

    There are clear patterns of under- and over-representation of ethnic minority groups in the youth justice system. Black and mixed race teenagers are over-represented, relative to their representation in the overall population. Other minority groups are not generally over-represented and some are under-represented.

    This study examined whether teenagers from ethnic minorities are treated differently to white teenagers by the youth justice system. It investigated how young people are drawn into the youth justice system, and traced whether disproportionality at the point of entry was preserved, amplified or reduced as they passed through the system.

    The data available from the UK Data Archive comprise a database of young offenders. Data were collected from the Youth Offending Information System (YOIS), an electronic system used by most YOTs in the country to case-manage and report on young offenders. A purposive sample of 12 YOTs was used to yield relatively high proportions of offenders from the larger ethnic minority groups. YOIS data on all offenders who had committed an offence in 2006 and their disposals recorded up to December 2007 have been extracted.

    Further information is available on the Ethnic Minority Young People: differential treatment in the Youth Justice System ESRC award web page.

  12. 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.

  13. Arrest rate in England and Wales 2006-2025, by ethnicity

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Arrest rate in England and Wales 2006-2025, by ethnicity [Dataset]. https://www.statista.com/statistics/1230734/arrest-rate-england-and-wales-by-ethnicity/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 1, 2006 - Mar 31, 2025
    Area covered
    England, Wales
    Description

    In 2024/25, the arrest rate for people in England and Wales varied by self-identified ethnicity. People who identified as Black or Black British had an arrest rate of 19 per 1,000 population, compared with ten for people who identified as White, and nine who identified as Asian or Asian British.

  14. s

    Persistent low income

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Sep 17, 2025
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    Race Disparity Unit (2025). Persistent low income [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/work-pay-and-benefits/pay-and-income/low-income/latest
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    csv(81 KB), csv(302 KB)Available download formats
    Dataset updated
    Sep 17, 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
    United Kingdom
    Description

    Between 2019 and 2023, people living in households in the Asian and ‘Other’ ethnic groups were most likely to be in persistent low income before and after housing costs

  15. u

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

    • datacatalogue.ukdataservice.ac.uk
    Updated Jul 25, 2023
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    Solanke, I, University of Leeds; Bhattacharyya, G, University of East London; Gupta, A, Royal Holloway, University of London; Bernard, C, Goldsmiths, University of London; Lakhanpaul, M, UCL; Rai, S, University of Warwick; Stokes, M, University of Southampton; Ayisi, F, University of South Wales; Kaur, R, University of Sussex; Padmadas, S, University of Southampton (2023). 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
    Jul 25, 2023
    Authors
    Solanke, I, University of Leeds; Bhattacharyya, G, University of East London; Gupta, A, Royal Holloway, University of London; Bernard, C, Goldsmiths, University of London; Lakhanpaul, M, UCL; Rai, S, University of Warwick; Stokes, M, University of Southampton; Ayisi, F, University of South Wales; Kaur, R, University of Sussex; Padmadas, S, University of Southampton
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    United Kingdom
    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 maximizing success of national strategy. Evidenced recommendations will enable official mitigation of disproportionate damage to wellbeing and resilience in BAMEFC. Empowerment is a core consortium value. Supporting UKRI goals for an inclusive research culture, we promote co-design and co-production to create a multi-disciplinary BAME research community spanning multi-cultural UK to inform policy. CO-POWeR investigates the synergistic effect on different age groups of challenges including policing, child welfare, caring and physical activity and nutrition. WP1 Emergency Powers investigates these vague powers to understand their impact on practices of wellbeing and resilience across BAMEFC. WP2 Children, Young People and their Families investigates implications for children/young people in BAMEFC who experience COVID-19 negatively due to disproportionate socio-economic and psychosocial impacts on their families and communities. WP3 Care, Caring and Carers investigates the interaction of care, caring and carers within BAMEFC to identify how to increase the wellbeing and resilience of older people, and paid and unpaid carers. WP4 Physical Activity and Nutrition investigates improving resilience and wellbeing by tackling vulnerability to underlying health conditions in BAMEFC. WP5 Empowering BAMEFC through Positive Narratives channels research from WP1-4 to coproduce fiction and non-fiction materials tackling the vulnerability of BAMEFC to 'mis infodemics'.

  16. s

    GCSE results (Attainment 8)

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Nov 7, 2024
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    Race Disparity Unit (2024). GCSE results (Attainment 8) [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/education-skills-and-training/11-to-16-years-old/gcse-results-attainment-8-for-children-aged-14-to-16-key-stage-4/latest
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    csv(490 KB), csv(138 KB)Available download formats
    Dataset updated
    Nov 7, 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

    In the 2022 to 2023 school year, pupils from the Chinese ethnic group had the highest Attainment 8 score out of all ethnic groups (65.5 out of 90.0).

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Race Disparity Unit (2022). Regional ethnic diversity [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/uk-population-by-ethnicity/national-and-regional-populations/regional-ethnic-diversity/latest

Data from: Regional ethnic diversity

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Dataset updated
Dec 22, 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
England
Description

According to the 2021 Census, London was the most ethnically diverse region in England and Wales – 63.2% of residents identified with an ethnic minority group.

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