57 datasets found
  1. Diversity of the judiciary: 2022 statistics

    • gov.uk
    • s3.amazonaws.com
    Updated Jul 13, 2023
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    Ministry of Justice (2023). Diversity of the judiciary: 2022 statistics [Dataset]. https://www.gov.uk/government/statistics/diversity-of-the-judiciary-2022-statistics
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    Dataset updated
    Jul 13, 2023
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Justice
    Description

    This bulletin presents the latest statistics on judicial diversity for England and Wales, covering:

    • court and tribunal judges, non-legal members of tribunals and magistrates in post as at 1 April 2022
    • judicial selection exercises completed during the financial year ending 31 March 2022, with additional data on judicial selection exercises completed between 1 April 2019 and 31 March 2022
    • legal professions as at 1 April 2022

    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.

    Statistics for years prior to 2020 were published in the Judicial Office https://www.judiciary.uk/about-the-judiciary/diversity/judicial-diversity-statistics/" class="govuk-link">judicial diversity statistics and by the https://judicialappointments.gov.uk/statistics-about-judicial-appointments/" class="govuk-link">Judicial Appointments Commission.

  2. Diversity of the judiciary: 2021 statistics

    • gov.uk
    • s3.amazonaws.com
    Updated Jul 15, 2021
    + more versions
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    Ministry of Justice (2021). Diversity of the judiciary: 2021 statistics [Dataset]. https://www.gov.uk/government/statistics/diversity-of-the-judiciary-2021-statistics
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    Dataset updated
    Jul 15, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Justice
    Description

    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:

    • court and tribunal judges, non-legal members of tribunals and magistrates in post as at 1 April 2021
    • judicial selection exercises completed during the financial year ending 31 March 2021, with additional data on judicial selection exercises completed between 1 April 2018 and 31 March 2021
    • legal professions as at 1 April 2021

    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.

  3. Judicial Diversity Statistics 2019

    • gov.uk
    Updated Jul 11, 2019
    + more versions
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    Ministry of Justice (2019). Judicial Diversity Statistics 2019 [Dataset]. https://www.gov.uk/government/statistics/judicial-diversity-statistics-2019
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    Dataset updated
    Jul 11, 2019
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Justice
    Description

    The 2019 judicial diversity statistics give a diversity breakdown of the courts and tribunals judiciary and non-legal members as at 1 April 2019.

  4. Ethnicity of court judges in England and Wales 2024

    • statista.com
    Updated Jul 14, 2025
    + more versions
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    Statista (2025). Ethnicity of court judges in England and Wales 2024 [Dataset]. https://www.statista.com/statistics/1105816/ethnicity-of-judges-in-the-uk/
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    Dataset updated
    Jul 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Wales, England
    Description

    As of 2024, **** percent of court judges in England and Wales were white, with **** percent from Black, Asian, mixed, or other ethnic backgrounds.

  5. G

    Canadian judges by selected demographic characteristics and sex

    • open.canada.ca
    • www150.statcan.gc.ca
    • +1more
    csv, html, xml
    Updated Jan 17, 2023
    + more versions
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    Statistics Canada (2023). Canadian judges by selected demographic characteristics and sex [Dataset]. https://open.canada.ca/data/dataset/401c62da-78cf-491c-88b5-eb6d7075b0f6
    Explore at:
    xml, html, csvAvailable download formats
    Dataset updated
    Jan 17, 2023
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    Number and proportion of Canadian judges, by selected industries, demographic characteristics and sex, Canada, provinces and territories.

  6. d

    Replication Data for: Can Racial Diversity among Judges Affect Sentencing...

    • search.dataone.org
    Updated Nov 8, 2023
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    Harris, Allison (2023). Replication Data for: Can Racial Diversity among Judges Affect Sentencing Outcomes? [Dataset]. http://doi.org/10.7910/DVN/YO5J2S
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    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Harris, Allison
    Description

    Replication Data for: Can Racial Diversity Among Judges Affect Sentencing Outcomes? These files include data, code files, and additional information for analyses included in the manuscript and appendix.

  7. d

    Replication data for: Racial Diversity and Judicial Influence on Appellate...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 20, 2023
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    Jonathan Kastellec (2023). Replication data for: Racial Diversity and Judicial Influence on Appellate Courts\" [Dataset]. http://doi.org/10.7910/DVN/RGVLZU
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    Dataset updated
    Nov 20, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Jonathan Kastellec
    Description

    This archive contains data and statistical code to replicate the analyses performed in the paper. The zip file contains a description of the data and code.

  8. W

    Statistics of completed selection exercises and recommendations for judicial...

    • cloud.csiss.gmu.edu
    • data.europa.eu
    html
    Updated Jan 2, 2020
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    United Kingdom (2020). Statistics of completed selection exercises and recommendations for judicial appointment showing diversity [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/statistics_of_completed_selection_exercises_and_recommendations_for_judicial_appointment_showin
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jan 2, 2020
    Dataset provided by
    United Kingdom
    License

    http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence

    Description

    Published by the Judicial Appointments Commission (JAC) - Half-yearly publication presenting the progress of candidates through the selection process for judicial office broken down by gender, ethnicity, disability and professional background.

    Source agency: Justice

    Designation: Official Statistics not designated as National Statistics

    Language: English

    Alternative title: JAC Completed selection exercises

  9. Data from: Court Workforce Racial Diversity and Racial Justice in Criminal...

    • catalog.data.gov
    Updated Mar 12, 2025
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    National Institute of Justice (2025). Court Workforce Racial Diversity and Racial Justice in Criminal Case Outcomes in the United States, 2000-2005 [Dataset]. https://catalog.data.gov/dataset/court-workforce-racial-diversity-and-racial-justice-in-criminal-case-outcomes-in-the-2000--b49e9
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    Dataset updated
    Mar 12, 2025
    Dataset provided by
    National Institute of Justicehttp://nij.ojp.gov/
    Area covered
    United States
    Description

    The purpose of this study was to determine whether workgroup racial composition is related to sentence outcomes generally, and racial differences in sentencing in particular, across federal districts. This collection contains information on federal court district characteristics. Data include information about the social context, court context, and diversity of the courtroom workgroup for 90 federal judicial districts provided by 50 judicial district context variables.

  10. H

    Replication data for: The Norm of Prior Judicial Experience and Its...

    • dataverse.harvard.edu
    Updated Jan 21, 2009
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    Lee Epstein; Jack Knight; Andrew D. Martin (2009). Replication data for: The Norm of Prior Judicial Experience and Its Consequences for Career Diversity on the U.S. Supreme Court [Dataset]. http://doi.org/10.7910/DVN/KWI0VS
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 21, 2009
    Dataset provided by
    Harvard Dataverse
    Authors
    Lee Epstein; Jack Knight; Andrew D. Martin
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    For at least three decades now, those charged with nominating and confirming justices to the U.S. Supreme Court seem to be following a norm of prior judicial experience—one that makes previous service on the (federal) bench a near prerequisite for office. Largely as a result of this norm, today’s Court, while growing more and more diverse on some dimensions, is becoming less and less so on the dimension of career diversity. We argue that all norms that cut against diversity are problematic because they reduce the ability of the affected group (the Supreme Court not excepted) to perform its tasks but that the norm of prior judicial experience is particularly troublesome for two reasons. First, since virtually all California Law Review show occupational path to be an important factor in explaining judicial choices—from the votes justices cast to their respect for stare decisis—the homogeneity induced by the norm suggests that the current Court is not making optimal choices. Second, since women and people of color are less likely than white men to hold positions that are now, under the norm of prior judicial experience, steppingstones to the bench, the norm is working to limit diversity on dimensions other than occupational path. To explore our argument, we draw on diverse sources—ranging from an original database that houses a wealth of information of the occupational backgrounds of the justices to the writings of leading contemporary thinkers. From this exploration, we extract a singular but certainly non-trivial policy implication: Because of problems associated with a perpetuation of the norm of prior judicial experience, we believe that the Senate, the President and other key players in the confirmat ion process would be well advised to give greater attention to the career experiences of those they would like to see serve on the Nation’s highest Court. But such attention ought not come in the form of reserving the next two, three, or four vacancies for nominees hailing directly from private practice, legislatures, the cabinet, and so on. Rather it should come about by taking into account the career experiences of justices remaining on the Court and, then, working to avoid excessive duplicati on.

  11. H

    Data from: The Fleeting Benefits of Appointments Commissions for Judicial...

    • dataverse.harvard.edu
    Updated Oct 21, 2010
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    Sundeep Iyer (2010). The Fleeting Benefits of Appointments Commissions for Judicial Gender Equity [Dataset]. http://doi.org/10.7910/DVN/W9TYI4
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 21, 2010
    Dataset provided by
    Harvard Dataverse
    Authors
    Sundeep Iyer
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    1998 - 2009
    Area covered
    United Kingdom, New Zealand, Australia
    Description

    Parity in gender representation on the bench is crucial if the judiciary is to reflect the population it serves. This paper determines whether judicial appointments commissions, recently adopted in the UK, have made UK courts more diverse and whether they could increase judicial diversity in other commonwealth countries. I argue that while the appointment of women judges increased in the first year after appointment commissions were established in the UK, any increase in the gender equity of appointments vanished soon thereafter. Had UK-style commissions been implemented in Australia or New Zealand, the number of appointed women might have increased in the first year after the commissions were established, but that increase would not have been sustained in the long-term.

  12. d

    Israeli Judges, 1948-2023

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Mar 6, 2024
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    Jasper, Alon (2024). Israeli Judges, 1948-2023 [Dataset]. http://doi.org/10.7910/DVN/QHO7X7
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    Dataset updated
    Mar 6, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Jasper, Alon
    Area covered
    Israel
    Description

    Biographical data for all judges and registrars of Israel for the period 1948-2023. Data include social and personal background, professional experience before judicial nomination, and career path in the judiciary.

  13. e

    Diversity Data

    • data.europa.eu
    • cloud.csiss.gmu.edu
    • +1more
    Updated Sep 25, 2021
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    Judicial Appointments Commission (2021). Diversity Data [Dataset]. https://data.europa.eu/data/datasets/diversity-data_1
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    Dataset updated
    Sep 25, 2021
    Dataset authored and provided by
    Judicial Appointments Commission
    Description

    Diversity statistics for selection exercises showing

  14. d

    Replication data for Spamann & Kloehn, Can Law Students Replace Judges in...

    • search.dataone.org
    Updated Nov 8, 2023
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    Spamann, Holger (2023). Replication data for Spamann & Kloehn, Can Law Students Replace Judges in Experiments of Judicial Decision-Making? [Dataset]. http://doi.org/10.7910/DVN/3SRIDI
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    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Spamann, Holger
    Description

    This dataset contains all scripts and raw data to generate intermediate data sets (also provided), results, graphs, and tables in Spamann & Kloehn, Can Law Students Replace Judges in Experiments of Judicial Decision-Making? The only thing missing is raw demographic data (age, gender, prior experience) from judges that can only be disclosed under an NDA per FJC request (summary demographic data is, however, provided).

  15. u

    Canadian judges by selected demographic characteristics and sex - Catalogue...

    • data.urbandatacentre.ca
    • beta.data.urbandatacentre.ca
    Updated Oct 1, 2024
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    (2024). Canadian judges by selected demographic characteristics and sex - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-401c62da-78cf-491c-88b5-eb6d7075b0f6
    Explore at:
    Dataset updated
    Oct 1, 2024
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    Number and proportion of Canadian judges, by selected industries, demographic characteristics and sex, Canada, provinces and territories.

  16. National Judicial Reporting Program Series

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Mar 12, 2025
    + more versions
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    Bureau of Justice Statistics (2025). National Judicial Reporting Program Series [Dataset]. https://catalog.data.gov/dataset/national-judicial-reporting-program-series-d675c
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    Dataset updated
    Mar 12, 2025
    Dataset provided by
    Bureau of Justice Statisticshttp://bjs.ojp.gov/
    Description

    Investigator(s): Bureau of Justice Statistics This series tabulates the number of persons convicted of felonies in state courts and describes their sentences. Data were collected from state courts and state prosecutors in 300 counties of the United States. The collection contains socio-demographic information such as age, race, and sex of the felon. Types of offenses committed include homicide, rape, and robbery. Adjudication variables referring to the process between arrest and sentencing are also included. Data can be analyzed at the national level or by the individual counties.Years Produced: Every 2 years

  17. Ad Hoc Analysis of Candidate Progression Through Judicial Selection Tools

    • s3.amazonaws.com
    • gov.uk
    Updated Dec 9, 2021
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    Ministry of Justice (2021). Ad Hoc Analysis of Candidate Progression Through Judicial Selection Tools [Dataset]. https://s3.amazonaws.com/thegovernmentsays-files/content/177/1773160.html
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    Dataset updated
    Dec 9, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Justice
    Description

    This publication is an ad-hoc statistical release summarising the analysis of data from judicial selection exercises, in order to understand the differences in the progression of target groups in both legal and non-legal recruitment exercises, by controlling for the effect of selected factors in relation to the progress of different groups through judicial selection tools.

  18. d

    Replication Data for: \"Because He is Gay\": How Race, Gender, and Sexuality...

    • search.dataone.org
    Updated Nov 8, 2023
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    Bracic, Ana; Israel-Trummel, Mackenzie; Johnson, Tyler; Tipler, Kathleen (2023). Replication Data for: \"Because He is Gay\": How Race, Gender, and Sexuality Shape Perceptions of Judicial Fairness [Dataset]. http://doi.org/10.7910/DVN/WDQB4C
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    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Bracic, Ana; Israel-Trummel, Mackenzie; Johnson, Tyler; Tipler, Kathleen
    Description

    How does a judge's identity affect perceptions of their ability to preside fairly? We theorize that identity categories operate as ideological cues, and that the public views judges perceived as ideologically proximate as fairer, more impartial, and more inspiring of trust in courts broadly. Using a conjoint survey experiment with a diverse national sample, we find support for this theory and show that race, gender, and especially sexuality are used as ideological cues. The effect of identities is conditioned by respondent partisanship. Democratic respondents trust judges with marginalized identities more than judges with dominant identities. Republicans are relatively indifferent to judges' race or gender, but are significantly less trusting of gay judges. We also uncover limited effects when a judge presides over a case in which their identity is salient. These results suggest that the public doesn't seek descriptive representation as such, but uses identity categories to achieve ideological congruence.

  19. B

    Traveling Judges: June 1, 2021 Demographics

    • borealisdata.ca
    Updated Jun 10, 2022
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    Alyssa King; Pamela Bookman (2022). Traveling Judges: June 1, 2021 Demographics [Dataset]. http://doi.org/10.5683/SP3/ZY8NY5
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 10, 2022
    Dataset provided by
    Borealis
    Authors
    Alyssa King; Pamela Bookman
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2021
    Area covered
    Montserrat, ECSC, United Arab Emirates, ADGM, Abu Dhabi, British, Virgin Islands, ECSC, ECSC, Saint Kitts and Nevis, Grenada, ECSC, Dominica, ECSC, Anguilla, ECSC, Saint Vincent and the Grenadines, ECSC, QICDRC, Qatar, Saint Lucia, ECSC
    Dataset funded by
    SSHRC
    Description

    We collected publicly available biographical and demographic information on all judges for each of the Standing International Forum of Commercial Courts (SIFOCC) members that employed traveling judges on June 1, 2021. We identified 131 current and former traveling judges on the relevant courts, of which 72 were listed as active judges on June 1, 2021. Historical information was not available for all courts. As a result, we focused on a snapshot of the courts on June 1, 2021. Anyone using the data needs to be aware that judicial appointments change frequently and that, as of this writing, it no longer represents the current composition of the courts.

  20. H

    Replication Data for: Of Whites and Men: How Gender, Race, and Publication...

    • dataverse.harvard.edu
    Updated Jan 29, 2018
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    Elizabeth A. Tillman; Rachael Hinkle (2018). Replication Data for: Of Whites and Men: How Gender, Race, and Publication Impact Authorship Assignment in the U.S. Courts of Appeals [Dataset]. http://doi.org/10.7910/DVN/CKENYM
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 29, 2018
    Dataset provided by
    Harvard Dataverse
    Authors
    Elizabeth A. Tillman; Rachael Hinkle
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    While authorship assignment has been studied extensively in the U.S. Supreme Court, relatively little is known about such decisions in the intermediate federal courts. Moreover, what we know about circuit courts relates only to published opinions (those which constitute precedent under the doctrine of stare decisis and, thus, influence policy). Little is known about authorship of less influential unpublished opinions. Distinguishing between the costs, benefits, and risks inherent in authoring published versus unpublished opinions, we develop and test theoretical expectations about how demographic characteristics of opinion assignors and assignees influence authorship across opinion type. We conduct empirical tests using an exhaustive original dataset containing all authored dispositive circuit panel opinions issued in 2012. The results reveal that white and male judges are more likely to assign white and male judges to write published opinions and less likely to assign them to write unpublished opinions. The substantive sizes of the discrepancies are somewhat modest, but our results indicate that judges from historically disadvantaged groups have fewer opportunities to shape policy and they shoulder a disproportionately larger share of the routine chore of resolving individual cases.

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Ministry of Justice (2023). Diversity of the judiciary: 2022 statistics [Dataset]. https://www.gov.uk/government/statistics/diversity-of-the-judiciary-2022-statistics
Organization logo

Diversity of the judiciary: 2022 statistics

Explore at:
17 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jul 13, 2023
Dataset provided by
GOV.UKhttp://gov.uk/
Authors
Ministry of Justice
Description

This bulletin presents the latest statistics on judicial diversity for England and Wales, covering:

  • court and tribunal judges, non-legal members of tribunals and magistrates in post as at 1 April 2022
  • judicial selection exercises completed during the financial year ending 31 March 2022, with additional data on judicial selection exercises completed between 1 April 2019 and 31 March 2022
  • legal professions as at 1 April 2022

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.

Statistics for years prior to 2020 were published in the Judicial Office https://www.judiciary.uk/about-the-judiciary/diversity/judicial-diversity-statistics/" class="govuk-link">judicial diversity statistics and by the https://judicialappointments.gov.uk/statistics-about-judicial-appointments/" class="govuk-link">Judicial Appointments Commission.

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