Board gender diversity varied among the UK's largest banks in 2025. Women comprised an average of **** 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 **** percent of board seats.
This is a biannual publication containing statistics on diversity declaration and representation of protected characteristics for military personnel employed by the Ministry of Defence.
Diversity statistics replaces a number of previous MOD tri-service publications including the Diversity Dashboard (Military), Annual and Quarterly Personnel Reports, Service Personnel Bulletin 2.01, Annual maternity report and the UK Reserve Forces and Cadets report, which can now be found in this publication.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual diversity score from 2011 to 2023 for New Britain Transition Center vs. Connecticut and New Britain School District
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual diversity score from 1991 to 2023 for Britain Elementary School vs. Texas and Irving Independent School District
This statistic shows the results of a survey on the level of comfort with more diverse Disney princesses in Great Britain as of May 2018. The survey found that almost three quarters of British adults stated that they were comfortable with a future Disney princess from an ethnic minority, whereas only close to half of respondents agreed that they would be comfortable with a Disney princess being homosexual.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual diversity score from 1993 to 2023 for Little Britain Elementary School vs. New York and Washingtonville Central School District
If you need help finding data please refer to the table finder tool to search for specific breakdowns available for FE statistics.
<p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute">MS Excel Spreadsheet</span>, <span class="gem-c-attachment_attribute">197 KB</span></p>
<p class="gem-c-attachment_metadata">This file may not be suitable for users of assistive technology.</p>
<details data-module="ga4-event-tracker" data-ga4-event='{"event_name":"select_content","type":"detail","text":"Request an accessible format.","section":"Request an accessible format.","index_section":1}' class="gem-c-details govuk-details govuk-!-margin-bottom-0" title="Request an accessible format.">
Request an accessible format.
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email <a href="mailto:alternative.formats@education.gov.uk" target="_blank" class="govuk-link">alternative.formats@education.gov.uk</a>. Please tell us what format you need. It will help us if you say what assistive technology you use.
<p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute">MS Excel Spreadsheet</span>, <span class="gem-c-attachment_attribute">1000 KB</span></p>
<p class="gem-c-attachment_metadata">This file may not be suitable for users of assistive technology.</p>
<details data-module="ga4-event-tracker" data-ga4-event='{"event_name":"
http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence
This dataset models bee nectar plant richness across Great Britain (GB). It uses counts of bee nectar plants (using a list agreed with experts) 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. This data provides a metric of the Natural Capital associated with pollination, although to measure the service itself you would require additional datasets. Understanding the distribution of bee nectar plants does provide valuable information on the potential distribution of pollinators and hence pollination. Full details about this dataset can be found at https://doi.org/10.5285/623a38dd-66e8-42e2-b49f-65a15d63beb5
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, 47.9 percent of the respondents said that it had improved a little, whereas 11.4 percent of respondents said that it had got a little worse.
https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html
Aim: We explored the range shifts of alien and native birds, the responses of alien and native β-diversity to abiotic factors, and the effect of native diversity on alien β-diversity in two time periods. Location: Great Britain. Time period: 1968–1972, 2007–2011. Taxa studied: Breeding birds. Methods: We estimated range shifts of alien and native species between the periods 1968–1972 and 2007–2011. Following, β-diversity of alien and native communities was estimated by Jaccard pairwise index (βtot) and partitioned into richness difference and replacement component for each period. We built abiotic Generalized Dissimilarity Models including abiotic factors for alien and native βtot and their components and a biotic model for aliens including native taxonomic and functional diversity as predictors. Results: Most alien and half native species expanded into new regions during the 40-year period. The native species range shifts did not exhibit a clear pattern along the longitudinal or latitudinal gradient, while alien species tended to move north-westwards. The richness difference was the dominant component of alien β-diversity, and the replacement component contributed mostly to native β-diversity. Alien β-diversity responded similarly, but less strongly than native β-diversity, to the abiotic gradients. Temperature-related variables, distance, and precipitation were the most important abiotic drivers of native and alien β-diversity. The biotic model of alien β-diversity explained more deviance than the abiotic model. Main conclusions: Alien species expanded into new regions over the 40 years, with alien β-diversity driven mostly by species gains. The effect of environmental filtering on alien communities was weaker compared to native communities but was slightly reinforced in the second period compared to the first period, highlighting the role of environmental change in shaping diversity patterns. Native diversity played a key role in driving alien β-diversity, through biotic interactions or/and by reflecting climatic suitability or niche availability for aliens. Methods We explored the range shifts of alien and native breeding bird species of mainland Great Britain between the periods 1968–1972 and 2007–2011. We estimated β-diversity and its components (richness difference and replacement component) of alien and native communities per time period and explored the effect of abiotic factors (climate, land cover, human population, and elevation) on alien and native β-diversity and their components and of native diversity (species richness and functional diversity) on alien β-diversity by Generalized Dissimilarity Modelling. Breeding bird distribution data of Great Britain for the time periods 1968–1972 and 2007–2011 (data collected in hectads of 100 km2) were retrieved from The atlas of breeding birds in Britain and Ireland (Sharrock, 1976), Bird Atlas 2007–2011: the breeding and wintering birds of Britain and Ireland (Balmer et al., 2013), and Breeding and wintering bird distributions in Britain and Ireland from citizen science bird atlas (Gillings et al., 2019). Filtering of the species was applied based on their status that was retrieved from the British Trust for Ornithology's BirdFacts database (Robinson, 2005; https://www.bto.org/understanding-birds/birdfacts), Mcinerny et al. (2022), and Wayman et al. (2022). The trait dataset (body mass, clutch size, foraging location, habitat, activity time, and main diet) of breeding birds was retrieved from Tsianou et al. (2021). Specifically, the traits were compiled from datasets (Storchová et al., 2018) and electronic databases [Handbook of the Birds of the World Alive (https://www.hbw.com)]. Climatic factors (mean temperature, mean temperature range, mean temperature of the warmest month, mean temperature of the coldest month, and mean precipitation), percentage of different land cover types (forest, cropland, grassland, other, and, water), human population and elevation per hectad were calculated with using QGIS 3.18 using data available online. The detailed sources of abiotic factors are provided in the attached Readme.txt and the original paper, while the calculated variables are provided in attached .csv files (climaticA.csv, climaticC, HILDAA.csv, HILDAC.csv, human.popA.csv, human.popC.csv, elevation.csv). All analyses were performed using R version 4.1.0 (R Development Core Team 2021) and required packages are provided in the attached 1_Prepare environmental and diversity data.txt. Additional functions are provided in Nstar function.txt and Windrose function.txt. Species list (along with name changes), trait dataset, and hectads of mainland Great Britain are provided in the Species list.csv (name changes.csv), Traits.csv, and Mainland_GB.csv, respectively. Scripts for performing analyses are provided in the 2_Estimate range shifts metrics.txt and 3_Run GDMs.txt. Instructions for performing analyses are provided in the Readme.txt. References
Balmer, D. E., Gillings, S., Caffrey, B., Swann, R., Downie, I., & Fuller, R. (2013). Bird Atlas 2007-11: the breeding and wintering birds of Britain and Ireland: BTO Thetford. Gillings, S., Balmer, D. E., Caffrey, B. J., Downie, I. S., Gibbons, D. W., Lack, P. C., ... & Fuller, R. J. (2019). Breeding and wintering bird distributions in Britain and Ireland from citizen science bird atlases. Global Ecology and Biogeography, 28(7), 866-874. https://doi.org/10.1111/geb.12906
McInerny, C. J., Musgrove, A. J., Stoddart, A., Harrop, A. H., & Dudley, S. P. (2022). The British List: a checklist of birds of Britain (10th edition). Ibis, 164, 860–910. https://doi.org/10.1111/ibi.13065
Robinson, R.A. (2005). BirdFacts: profiles of birds occurring in Britain & Ireland. BTO Research Report, 407, p.Thetford. (http://www.bto.org/birdfacts) Sharrock, J. T. R. (1976). The atlas of breeding birds in Britain and Ireland: A&C Black.
Storchová, L., & Hořák, D. (2018). Life‐history characteristics of European birds. Global Ecology and Biogeography, 27(4), 400-406. https://doi.org/10.1111/geb.12709
Tsianou, M. A., Touloumis, K., & Kallimanis, A. S. (2021). Low spatial congruence between temporal functional β‐diversity and temporal taxonomic and phylogenetic β‐diversity in British avifauna. Ecological Research, 36(3), 491-505. https://doi.org/10.1111/1440-1703.12209
Wayman, J. P., Sadler, J. P., Pugh, T. A., Martin, T. E., Tobias, J. A., & Matthews, T. J. (2022). Assessing taxonomic and functional change in British breeding bird assemblages over time. Global Ecology and Biogeography, 31(5), 925-939. https://doi.org/10.1111/geb.13468
We welcome feedback on this new publication and potential future developments via our https://www.smartsurvey.co.uk/s/8AN5JR/" class="govuk-link">online survey, open until 31 August 2021.
This bulletin presents the latest statistics on judicial diversity for England and Wales, covering:
These statistics provide the main source for monitoring patterns and trends in judicial diversity, and bring together in one place diversity statistics for those in post, during selection and for the legal professions which are the source of much of the judiciary.
The supporting user guide and quality statement provide background information on the judiciary, definitions, methodology used, the quality of the statistics and other useful sources of related information.
We have also produced an https://app.powerbi.com/view?r=eyJrIjoiNDIxOGVhN2ItN2M5OC00N2MyLWFmNmEtNWE1MmZmODVhNTVhIiwidCI6ImM2ODc0NzI4LTcxZTYtNDFmZS1hOWUxLTJlOGMzNjc3NmFkOCIsImMiOjh9&pageName=ReportSection" class="govuk-link">interactive dashboard which allows users to explore the latest data for the judiciary.
Statistics for years prior to 2020 were published in the Judicial Office https://www.judiciary.uk/publication-type/statistics/" class="govuk-link">judicial diversity statistics and by the https://judicialappointments.gov.uk/statistics-about-judicial-appointments/" class="govuk-link">Judicial Appointments Commission.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual diversity score from 1989 to 2011 for Calvin Britain Elementary School vs. Michigan and Benton Harbor Area Schools School District
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
On 31 March 2024, 91.6% of police officers were White, and 8.4% were from Asian, Black, Mixed, and Other ethnic backgrounds.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual diversity score from 2014 to 2023 for Uk Early Childhood Lab vs. Kentucky and Fayette County School District
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual diversity score from 2016 to 2023 for Behavior Support (Holmes) vs. Connecticut and New Britain School District
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual diversity score from 1991 to 2023 for New Britain High School vs. Connecticut and New Britain School District
In a survey conducted in July 2021 regarding the ways in which respondents personally supported diversity and inclusion in the workplace in the United Kingdom, just over half of respondents said that they had talked with friends or family about these matters, while **** percent said that they posted about it publicly on a social media platform.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within New Britain. The dataset can be utilized to gain insights into gender-based income distribution within the New Britain population, aiding in data analysis and decision-making..
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Income brackets:
Variables / Data Columns
Employment type classifications include:
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for New Britain median household income by race. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual diversity score from 2012 to 2016 for Climb High School vs. Connecticut and New Britain School District
Board gender diversity varied among the UK's largest banks in 2025. Women comprised an average of **** 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 **** percent of board seats.