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.
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.
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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.
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.
This report provides information about how members of Black, Asian and Minority Ethnic (BME) Groups in England and Wales were represented in the Criminal Justice System (CJS) in the most recent year for which data were available, and, wherever possible, across the last five years. Section 95 of the Criminal Justice Act 1991 requires the Government to publish statistical data to assess whether any discrimination exists in how the CJS treats people based on their race.
These statistics are used by policy makers, the agencies who comprise the CJS and others to monitor differences between ethnic groups and where practitioners and others may wish to undertake more in-depth analysis. The identification of differences should not be equated with discrimination as there are many reasons why apparent disparities may exist.
The most recent data on victims showed differences in the risks of crime between ethnic groups and, for homicides, in the relationship between victims and offenders. Overall, the number of racist incidents and racially or religiously aggravated offences recorded by the police had decreased over the last five years. Key Points:
Per 1,000 population, higher rates of s1 Stop and Searches were recorded for all BME groups (except for Chinese or Other) than for the White group. While there were decreases across the last five years in the overall number of arrests and in arrests of White people, arrests of those in the Black and Asian group increased.
Data on out of court disposals and court proceedings show some differences in the sanctions issued to people of differing ethnicity and also in sentence lengths. These differences are likely to relate to a range of factors including variations in the types of offences committed and the plea entered, and should therefore be treated with caution. Key points:
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:
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 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.
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.
The use of out of court disposals (Penalty Notices for Disorder and caution
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.
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.
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.
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
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, belonging, impact of COVID-19, health, well-being, financial position, political attitudes and trust.
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.
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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
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.
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.
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.
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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.
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.
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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.; ;
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:
Abstract copyright UK Data Service and data collection copyright owner.
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.