9 datasets found
  1. MHRA ethnicity pay gap report

    • gov.uk
    • s3.amazonaws.com
    Updated Jan 6, 2023
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    Medicines and Healthcare products Regulatory Agency (2023). MHRA ethnicity pay gap report [Dataset]. https://www.gov.uk/government/publications/mhra-ethnicity-pay-gap-report
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    Dataset updated
    Jan 6, 2023
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Medicines and Healthcare products Regulatory Agency
    Description

    MHRA is committed to building a diverse and inclusive workforce and to analysing and improving our ethnicity pay gap through focused action.

    The data presented has been completed using the standard calculations with data has been extracted from the Agency’s payroll. It is selected as at a specific date each year; the ‘snapshot date’. The latest snapshot date for public sector organisations was 31 March 2018.

    We have used data from all relevant employees, taking account of full time equivalent pay and ethnicity.

    The template covers:

    • mean ethnicity pay gap in hourly pay.
    • median ethnicity pay gap in hourly pay (the difference between the midpoints in the ranges of men’s and women’s pay)
    • mean bonus ethnicity pay gap (the difference between the average of bonuses paid to men and women)
    • median bonus ethnicity pay gap (the difference between the midpoints in the ranges of men’s and women’s pay)
    • proportion of staff who have declared their ethnicity as White or BAME receiving a bonus payment
    • proportion of staff in each pay quartile who have declared their ethnicity as White or BAME in the lower, lower middle, upper middle, and upper quartile pay bands
  2. Gender pay gap in the UK 1997-2024

    • statista.com
    Updated Dec 6, 2024
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    Statista (2024). Gender pay gap in the UK 1997-2024 [Dataset]. https://www.statista.com/statistics/280710/uk-gender-pay-gap/
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    Dataset updated
    Dec 6, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    In 2024, the difference between average hourly earnings for men and women in the United Kingdom for all workers was 13.1 percent, compared with seven percent for full-time workers, and -3 percent for part-time workers. During the provided time period, the gender pay gap was at its highest in 1997, when it was 27.5 percent for all workers. Compared with 1997, the gender pay gap has fallen by 13.2 percent for all workers, and 9.7 percent for full-time workers. Gender pay gap higher in older age groups Although the gender pay gap among younger age groups was quite small in 2023, the double-digit pay gap evident in older age groups served to keep the overall gap high. The gender pay gap for workers aged between 18 and 21 for example was -0.2 percent, compared with 11.2 percent for people in their 50s. Additionally the gender pay gap for people aged over 60 has changed little since 1997, falling by just 0.5 percent between 1997 and 2023, compared with a 12.8 percent reduction among workers in their 40s. Positions of power As of 2023, women are unfortunately still relatively underrepresented in leadership positions at Britain’s top businesses. Among FTSE 100 companies, for example, just 11 percent of CEOs were female, falling to just four percent for FTSE 250 companies. Representation was better when it came to FTSE 100 boardrooms, with 42.6 percent of positions at this level being filled by women, compared with 41.8 percent at FTSE 250 companies. In the corridors of political power, the proportion of female MPs was estimated to have reached its highest ever level after the 2024 election at 41 percent, compared with just three percent in 1979.

  3. RSH Equality information and ethnicity pay gap report 2021-22

    • gov.uk
    • s3.amazonaws.com
    Updated Mar 31, 2023
    + more versions
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    Regulator of Social Housing (2023). RSH Equality information and ethnicity pay gap report 2021-22 [Dataset]. https://www.gov.uk/government/publications/rsh-equality-information-and-ethnicity-pay-gap-report-2021-22
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    Dataset updated
    Mar 31, 2023
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Regulator of Social Housing
    Description

    Following the public sector equality duty in April 2011 (s149 of the Equality Act 2010), public authorities are obliged, in the exercise of their functions, to have due regard to the need to achieve the three aims of the public sector equality duty:

    • to eliminate unlawful discrimination
    • advance equality of opportunity
    • foster good relationships between people who share a protected characteristic and those who do not.

    The Regulator of Social Housing became a standalone organisation on 1 October 2018. As a public body with at least 180 employees, RSH publishes relevant, proportionate equality information to demonstrate compliance with the Equality Duty and to promote transparency and accountability for its equality performance.

    This is RSH’s fourth equality information report, which for the third year includes an ethnicity pay gap report. It covers RSH staff and those affected by its policies and procedures. Previous and related reports can be found on our Equality information and pay gap reports collections page.

  4. The global gender gap index 2024

    • statista.com
    • flwrdeptvarieties.store
    Updated Oct 14, 2024
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    The global gender gap index 2024 [Dataset]. https://www.statista.com/statistics/244387/the-global-gender-gap-index/
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    Dataset updated
    Oct 14, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    The global gender gap index benchmarks national gender gaps on economic, political, education, and health-based criteria. In 2024, the country offering most gender equal conditions was Iceland with a score of 0.94. Overall, the Nordic countries make up four of the five most gender equal countries in the world. The Nordic countries are known for their high levels of gender equality, including high female employment rates and evenly divided parental leave. Sudan is the least gender equal country Sudan is found on the other end of the scale, ranked as the least gender equal country in the world. Conditions for civilians in the North African country has worsened significantly after a civil war broke out in April 2023. Especially girls and women are suffering and have become victims of sexual violence. Moreover, nearly nine million people are estimated to be at acute risk of famine. The Middle East and North Africa has the largest gender gap Looking at the different world regions, the Middle East and North Africa has the largest gender gap as of 2023, just ahead of South Asia. Moreover, it is estimated that it will take another 152 years before the gender gap in the Middle East and North Africa is closed. On the other hand, Europe has the lowest gender gap in the world.

  5. s

    Full time and part time employment

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Nov 28, 2023
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    Race Disparity Unit (2023). Full time and part time employment [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/work-pay-and-benefits/employment/full-time-and-part-time-employment/latest
    Explore at:
    csv(2 MB)Available download formats
    Dataset updated
    Nov 28, 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
    Wales and Scotland, England
    Description

    In 2022, employed people in the white ‘other’ and Indian ethnic groups (both 82%) were the most likely to work full time out of all ethnic groups.

  6. DCMS gender pay gap 2019/20

    • gov.uk
    • s3.amazonaws.com
    Updated Dec 15, 2020
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    Department for Digital, Culture, Media & Sport (2020). DCMS gender pay gap 2019/20 [Dataset]. https://www.gov.uk/government/publications/dcms-gender-pay-gap-201920
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    Dataset updated
    Dec 15, 2020
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Digital, Culture, Media & Sport
    Description

    The Department for Digital, Culture, Media & Sport (DCMS) has prepared this report as part of the legal requirement for public authorities to publish their gender pay gap every year. This report fulfils the Department’s reporting requirements, analyses the figures in more detail and sets out what we are doing to close the gender pay gap in DCMS.

    Building a diverse and inclusive workforce that reflects the people we serve is one of the Civil Service’s top workforce priorities. Our collective aim is to make the Civil Service the UK’s most inclusive employer by 2020 and beyond. Our Diversity & Inclusion Strategy outlines how we plan to achieve this. The Civil Service should create opportunities for all in a truly meritocratic way and reward all civil servants fairly, regardless of gender, ethnicity or any other personal characteristics.

  7. s

    Household income

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Sep 5, 2022
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    Race Disparity Unit (2022). Household income [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/work-pay-and-benefits/pay-and-income/household-income/latest
    Explore at:
    csv(261 KB)Available download formats
    Dataset updated
    Sep 5, 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

    In the 3 years to March 2021, black households were most likely out of all ethnic groups to have a weekly income of under £600.

  8. s

    Economic inactivity

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Dec 11, 2023
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    Race Disparity Unit (2023). Economic inactivity [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/work-pay-and-benefits/unemployment-and-economic-inactivity/economic-inactivity/latest
    Explore at:
    csv(4 MB), csv(3 MB)Available download formats
    Dataset updated
    Dec 11, 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, Wales and Scotland
    Description

    In 2022, the highest and lowest rates of economic inactivity were in the combined Pakistani and Bangladeshi (33%) and white 'other’ (15%) ethnic groups.

  9. Race and the criminal justice system 2016

    • gov.uk
    Updated Feb 28, 2018
    + more versions
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    Race and the criminal justice system 2016 [Dataset]. https://www.gov.uk/government/statistics/race-and-the-criminal-justice-system-2016
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    Dataset updated
    Feb 28, 2018
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Justice
    Description

    Biennial statistics on the representation of ethnic groups as victims, suspects, defendants offenders and employees in the criminal justice system.

    These reports are released by the Ministry of Justice (MoJ) and produced in accordance with arrangements approved by the UK Statistics Authority.

    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, and no controls have been applied to account for differences in circumstances between groups (e.g. average income or age); 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, Non-White ethnic groups tend to be over-represented at most stages throughout the CJS, compared with the White ethnic group. Among non-White groups, Black and Mixed individuals were often the most over-represented. Trends over time for each ethnic group have tended to mirror overall trends, with little change in relative positions between ethnic groups.

    Specific findings

    Victimisation

    • The Mixed ethnic group was the most likely to be a victim of personal crime (7.4%), and the Asian or Asian British ethnic group were the least likely (2.6%). Additionally, the Black ethnic group were 4 times more likely than the White ethnic group to be a victim of homicide.
    • There was an 18% rise in police recorded racially or religiously aggravated offences compared with the previous year and a 62% increase over the past 5 years.

    Police activity

    • In 2016 to 2017, compared with the White ethnic group, stops and searches proportionate to population size were more likely to be carried out on the Black (eight times as likely), Mixed (between 2 and 3 times as likely), Asian (just over 2 times as likely) and Chinese or Other (one and a half as likely) ethnic groups.
    • Compared with the White ethnic group, arrests were more likely to be carried out on the Black (3 and half times more likely) and Mixed (twice as likely) ethnic groups relative to their population size.

    Defendants

    • Relative to the population, the rates of prosecution for indictable offences for Black and Mixed ethnic groups were 4 and 2 times higher than for the White ethnic group.
    • White defendants have tended to have the highest conviction ratio for indictable offences out of all ethnic groups since 2012 (ranging from 80% to 86%).
    • In 2016, Black and Mixed defendants were 23% and 18% more likely than White defendants to be remanded in custody in Crown Court for indictable offences.
    • The custody rate for Asian offenders has been increasing over the last 5 years and in 2016 they were 11% more likely than White offenders to receive a custodial sentence. Black and Asian offenders have consistently had the highest average custodial sentence length (ACSL) since 2012.
    • White defendants had the highest guilty plea rate for indictable offences at the Crown Court in 2016 at 71%. The guilty plea rate for all other ethnic groups ranged between 56% and 64%.

    Offender characteristics

    • Prosecution rate relative to the population was highest for Black juveniles (12 juveniles per 1,000 people in the population). The rate for White juveniles was 2 per 1,000.
    • Black and ‘Asian and Other’ young people in the matched cohort sentenced in 2014 had a greater proportion achieving 5 or more GCSEs graded A* - C and A* - G for all sentencing outcomes.

    Offenders under supervision or custody

    The proportion of the prison population varied greatly between ethnic groups: there were around 16 prisoners for every 10,000 people, similar to the White and Asian rates, but this includes only 5 prisoners for each 10,000 Chinese or Other population members, and 47 and 58 prisoners for each 10,000 Mixed and Black population members respectively.

    Practitioners

    Non-White ethnic groups were under-represented relative to the population among the police, National Offender Management Service , judiciary and magistracy with proportions increasing slowly or remaining the same over the last 5 years. Non-White ethnic groups were over-represented relative to the population among the Ministry of Justice and Crown Prosecution Service with proportions increasing over the last 5 years.

    Pre-release access

    The bulletin is produced and handled by the ministry’s analytical profe

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Medicines and Healthcare products Regulatory Agency (2023). MHRA ethnicity pay gap report [Dataset]. https://www.gov.uk/government/publications/mhra-ethnicity-pay-gap-report
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MHRA ethnicity pay gap report

Explore at:
Dataset updated
Jan 6, 2023
Dataset provided by
GOV.UKhttp://gov.uk/
Authors
Medicines and Healthcare products Regulatory Agency
Description

MHRA is committed to building a diverse and inclusive workforce and to analysing and improving our ethnicity pay gap through focused action.

The data presented has been completed using the standard calculations with data has been extracted from the Agency’s payroll. It is selected as at a specific date each year; the ‘snapshot date’. The latest snapshot date for public sector organisations was 31 March 2018.

We have used data from all relevant employees, taking account of full time equivalent pay and ethnicity.

The template covers:

  • mean ethnicity pay gap in hourly pay.
  • median ethnicity pay gap in hourly pay (the difference between the midpoints in the ranges of men’s and women’s pay)
  • mean bonus ethnicity pay gap (the difference between the average of bonuses paid to men and women)
  • median bonus ethnicity pay gap (the difference between the midpoints in the ranges of men’s and women’s pay)
  • proportion of staff who have declared their ethnicity as White or BAME receiving a bonus payment
  • proportion of staff in each pay quartile who have declared their ethnicity as White or BAME in the lower, lower middle, upper middle, and upper quartile pay bands
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