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.

This statistic presents the share of people employed by arts and cultural organizations funded by Arts Council England from the fiscal year 2018/19, by ethnicity. Over this period, ** percent of employees working in national portfolio organizations funded by Arts Council England, were of black or minority ethnicity.

The data measures the ethnic diversity of England and Wales by region and local authority. Data comes from the 2021 Census and is published on 'Ethnicity facts and figures'.

In a survey conducted in July 2021 about the whether respondents think that diversity and inclusion in companies and institutions in the United Kingdom had improved or worsened in the last six months, **** percent of the respondents said that it had improved a little, whereas **** percent of respondents said that it had got a little worse.

This project is the first census of all local councillors in all four constitutive nations of the UK, conducted in 2018 and 2019. The local level, so important to our democracy, is too often ignored, and political representation is predominantly studied at the national level. The particular importance of local level to ethnic representation cannot be overstated as it is often the first step in politics and political careers for many minority politicians, and a first line of contact for minority individuals and communities in need of help. This project seeks to fill this research gap and to put local representation at the heart of studying how ethnic minorities are politically represented in Britain. Our research design was developed to study the experiences of ethnic minority local councillors from visibly racialised backgrounds of both genders, to further our understandings of the mechanisms that underpin representational inequalities. We collected the ethnicity, gender and political party of every local councillor in the UK by referring to council websites. We sought to sample our interviewees to reflect a range of non-white backgrounds and political experience as well as gender balance. Interviewees were asked about how they became involved in local politics, their views on the extent of demand for greater diversity in local government and their experiences of running for selection and election for local government as well as serving as a local councillor. The collection consists of interview transcripts with 95 ethnic minority local councillors, candidates and activists, or white British councillors in local government leadership positions.

The data measures the ethnic diversity of England and Wales by region and type of area, for example urban and rural. Data comes from the 2011 Census and is published on 'Ethnicity facts and figures'.

Board gender diversity varied among the UK's largest banks in 2025. Women comprised an average of 44.4 percent of board directors at the ten largest banks. Three banks - HSBC, Virgin Money, and NatWest Group - had female-majority boards. Metro Bank had the lowest female representation, with women holding 27.3 percent of board seats.

On average, approximately 36.4 percent of the leadership positions at Standard Chartered were held by women in 2024. On the board, 42 percent of the directors were women. In the management team and at the senior leadership level, the share of women was slightly lower, at 34.1 percent and 33.1 percent, respectively. Between 2016 and 2024, the share of women on the board as well as in senior leadership increased, while in the management team it decreased notably.

According to the 2021 Census, 81.7% of the population of England and Wales was white, 9.3% Asian, 4.0% black, 2.9% mixed and 2.1% from other ethnic groups.

In April 2024, 13.1% of people in non-officer roles in the armed forces were from ethnic minorities, compared with 7.9% in April 2012.

The reporting rate for staff declaring their ethnicity, gender etc. Updated: monthly.

This web map service shows bee nectar plant richness across Great Britain . The source data uses counts of bee nectar plants in Countryside Survey area vegetation plots in 2007 and extrapolates to 1km squares across GB using a generalised additive mixed model. Co-variables used in the model are Broad Habitat (the dominant broad habitat of the 1km square), air temperature, nitrogen deposition, precipitation and altitude. The map has the following layers: plantCount = a modelled estimate of the count of all bee nectar plants within a 1km by 1km square, SEM = a measure of the variance of the plantCount attribute Understanding the distribution of bee nectar plants does provide valuable information on the potential distribution of pollinators and hence pollination.

Diversity statistics for selection exercises showing

In 2024, 45 percent of Standard Chartered's total workforce was female, while 55 percent was male. This marked a slight shift from 2023, when the proportion of female employees was slightly higher at 44.8 percent.

This dataset tracks annual diversity score from 2011 to 2023 for New Britain Transition Center vs. Connecticut and New Britain School District

The Area Level Index of Age Diversity (ALIAD) is based on the Simpson's Index of Diversity. It is commonly used in ecological studies to quantify the biodiversity of a habitat as it takes into account both the richness, i.e. the number of species present, and the evenness, i.e. the abundance of each species, within an environment. As species richness and evenness increase, so diversity increases. The index represents the probability that two randomly selected individuals will belong to different groups. It ranges from 0 and 100, with higher values representing greater diversity. ALIAD was computed for each Lower Super Output Area (LSOA) in England and Wales (E&W), each Data Zone (DZ) in Scotland and each Super Output Area (SOA) in Northern Ireland from 2002 to 2019. It is based on the mid-year population estimates (MYPE) for each area for each year. This is information is freely available in accordance with version 3.0 of the Open Government Licence. However, the different national statistical agencies compute MYPE for different age groups. In England and Wales estimates are provided for single-year age groups, i.e. the number of people aged 0, 1, 2, 3, etc. In Scotland estimates are provided for quinary age groups, i.e. the number of people aged 0-4, 5-9, 10-14, etc. In Northern Ireland (NI) estimates are provided for four larger age groups, i.e. 0-15, 16-39, 40-64 and 65+. It was decided to match the age groups to the NI classification as i) this would provide the greatest geographical coverage, ii) the estimates ought to be more robust and iii) in discussions with policy and practice stakeholders these age groups were seen as more meaningful than single-year or quinary age groups. An exact match was possible between the E&W and NI age groups. However, because of the use of quinary age groups it is not possible to get an exact match for all age groups in Scotland. Hence, the age groups used on Scotland are 0-14, 15-39, 40-64 and 65+.
The final dataset contains the computed ALIAD values for each of the 34,753 LSOAs, the 6,976 DZs and the 890 SOAs from 2002-2019. ALIAD has a range of 0-100. On this scale 0 would represent total age concentration, i.e. every member of the area is in the same age group, and 100 would represent complete age diversity within the area.

There is evidence that Britain is becoming more and more generationally divided. A major part of this is that the places where we live have become increasingly 'age segregated'. This means younger people tend to live in places where there are more younger people and older people tend to live in places where there are more older people. Deep generational divisions can have implications for social cohesion and effective societal functioning. Policy makers are concerned that this could have negative health, economic, social and political costs. Indeed, a recent report by the Resolution Foundation estimated that age-segregation could cost the UK economy £6 billion per year. However, there is currently no research in Britain that has been able to directly test whether living in areas with a greater mix of ages has an impact on people. By linking information on the number of people in different age groups at the local level with information from a long running survey, our project will be the first to do this. We will create a new measure, called the 'area level index of age diversity', for all the residential areas in Great Britain (these are called Lower Super Output Areas in England and Wales and Data Zones in Scotland). Unlike existing measures which tend to focus just on younger versus older adults, this new measure will use information from people of all ages to get a better idea of the mix of age groups in an area. The first thing we intend to do with this information is to produce a series of maps of Britain to show which local areas are more or less age diverse. This information will be very useful for local government, councils, city planners and the like. Once we have done this, we will then link our new measure of age diversity to information on around 50,000 people living in Britain who have been part of a long running study (called the UK Household Longitudinal Survey). This will enable us to see whether living in areas that have people from a wide (or narrow) range of age groups impacts on people's health (e.g. whether the person has an illness or chronic condition), well-being (e.g. loneliness), civic participation (e.g. whether someone volunteers or not), and neighbourhood quality (e.g. whether people trust their neighbours). Our findings will provide a much needed evidence base on the extent of local area level age diversity in Britain and what effect (if any) this has on people's lives.

This dataset provides Census 2021 estimates that classify households in England and Wales by the diversity in ethnic group of household members in different relationships. The estimates are as at Census Day, 21 March 2021.

Area type

Census 2021 statistics are published for a number of different geographies. These can be large, for example the whole of England, or small, for example an output area (OA), the lowest level of geography for which statistics are produced.

For higher levels of geography, more detailed statistics can be produced. When a lower level of geography is used, such as output areas (which have a minimum of 100 persons), the statistics produced have less detail. This is to protect the confidentiality of people and ensure that individuals or their characteristics cannot be identified.

Coverage

Census 2021 statistics are published for the whole of England and Wales. Data are also available in these geographic types:

• country - for example, Wales
• region - for example, London
• local authority - for example, Cornwall
• health area – for example, Clinical Commissioning Group
• statistical area - for example, MSOA or LSOA

Multiple ethnic groups in household (6 categories)

Classifies households by whether members identify as having the same or different ethnic groups.

If multiple ethnic groups are present, this identifies whether they differ between generations or partnerships within the household.