6 datasets found
  1. Table 3.1a Percentile points from 1 to 99 for total income before and after...

    • gov.uk
    Updated Mar 12, 2025
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    HM Revenue & Customs (2025). Table 3.1a Percentile points from 1 to 99 for total income before and after tax [Dataset]. https://www.gov.uk/government/statistics/percentile-points-from-1-to-99-for-total-income-before-and-after-tax
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    Dataset updated
    Mar 12, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    HM Revenue & Customs
    Description

    The table only covers individuals who have some liability to Income Tax. The percentile points have been independently calculated on total income before tax and total income after tax.

    These statistics are classified as accredited official statistics.

    You can find more information about these statistics and collated tables for the latest and previous tax years on the Statistics about personal incomes page.

    Supporting documentation on the methodology used to produce these statistics is available in the release for each tax year.

    Note: comparisons over time may be affected by changes in methodology. Notably, there was a revision to the grossing factors in the 2018 to 2019 publication, which is discussed in the commentary and supporting documentation for that tax year. Further details, including a summary of significant methodological changes over time, data suitability and coverage, are included in the Background Quality Report.

  2. Table 3.2 Distribution of median and mean income and tax by age range and...

    • gov.uk
    Updated Mar 12, 2025
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    HM Revenue & Customs (2025). Table 3.2 Distribution of median and mean income and tax by age range and sex [Dataset]. https://www.gov.uk/government/statistics/distribution-of-median-and-mean-income-and-tax-by-age-range-and-gender-2010-to-2011
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    Dataset updated
    Mar 12, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    HM Revenue & Customs
    Description

    These tables only cover individuals with some liability to tax.

    These statistics are classified as accredited official statistics.

    You can find more information about these statistics and collated tables for the latest and previous tax years on the Statistics about personal incomes page.

    Supporting documentation on the methodology used to produce these statistics is available in the release for each tax year.

    Note: comparisons over time may be affected by changes in methodology. Notably, there was a revision to the grossing factors in the 2018 to 2019 publication, which is discussed in the commentary and supporting documentation for that tax year. Further details, including a summary of significant methodological changes over time, data suitability and coverage, are included in the Background Quality Report.

  3. Forecast of the global middle class population 2015-2030

    • statista.com
    Updated Jun 27, 2025
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    Statista (2025). Forecast of the global middle class population 2015-2030 [Dataset]. https://www.statista.com/statistics/255591/forecast-on-the-worldwide-middle-class-population-by-region/
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    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2017
    Area covered
    Worldwide
    Description

    By 2030, the middle-class population in Asia-Pacific is expected to increase from **** billion people in 2015 to **** billion people. In comparison, the middle-class population of sub-Saharan Africa is expected to increase from *** million in 2015 to *** million in 2030. Worldwide wealth While the middle-class has been on the rise, there is still a huge disparity in global wealth and income. The United States had the highest number of individuals belonging to the top one percent of wealth holders, and the value of global wealth is only expected to increase over the coming years. Around ** percent of the world’s population had assets valued at less than 10,000 U.S. dollars, while less than *** percent had assets of more than one million U.S. dollars. Asia had the highest percentage of investable assets in the world in 2018, whereas Oceania had the highest percentage of non-investable assets. The middle-class The middle class is the group of people whose income falls in the middle of the scale. China accounted for over half of the global population for middle-class wealth in 2017. In the United States, the debate about the middle class “disappearing” has been a popular topic due to the increase in wealth among the top billionaires in the nation. Due to this, there have been arguments to increase taxes on the rich to help support the middle class.

  4. s

    Persistent low income

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Sep 17, 2025
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    Race Disparity Unit (2025). Persistent low income [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/work-pay-and-benefits/pay-and-income/low-income/latest
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    csv(81 KB), csv(302 KB)Available download formats
    Dataset updated
    Sep 17, 2025
    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

    Between 2019 and 2023, people living in households in the Asian and ‘Other’ ethnic groups were most likely to be in persistent low income before and after housing costs

  5. Forestry Commission gender pay gap report: Report for the year 2019-2020

    • gov.uk
    Updated Jun 30, 2021
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    Forestry Commission (2021). Forestry Commission gender pay gap report: Report for the year 2019-2020 [Dataset]. https://www.gov.uk/government/publications/forestry-commission-gender-pay-gap-report-report-for-the-year-2019-2020
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    Dataset updated
    Jun 30, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Forestry Commission
    Description

    You can download the report as a PDF above, or read a text version of the report below.

    Gender Pay Gap Report

    This gender pay gap report for the Forestry Commission covers the period 1 April 2019 – 31 March 2020. It publishes the mean and median gender pay gaps, the bonus pay gap and the proportions of male and female employees in each pay quartile.

    The gender pay gap shows the difference in the average pay between all men and women in a workforce. If a workforce has a particularly high gender pay gap, this can indicate issues to address such as less women working in higher pay bands.

    The gender pay gap is different to equal pay. Equal pay deals with the pay differences between men and women who carry out the same jobs, similar jobs or work of equal value. It is unlawful to pay people unequally because they are a man or a woman.

    The Forestry Commission is committed to equality of opportunity for all and will continuously strive to reduce the gender pay gap.

    FC Gender Mix

    39.4% of the FC workforce is female

    FC Gender Pay Gap

    • Mean pay gap: 6.10%
    • Median pay gap: 1.35%

    The average (mean) hourly rate for males is 6.1% higher than females. The median gender pay gap is lower than the mean gender pay gap at 1.35%. This means that of all the male and female employees of the Forestry Commission, the middle male salary is 1.35% higher than the middle female salary. This has decreased since the 2018-2019 pay gap publication which previously had a Mean of 8.7% and a Median of 5.71%.

    Bonus Pay Gap

    The Forestry Commission only operates a performance bonus for the senior staff group. There was only 1 bonus payment paid to 1 male.

    Pay Quartiles

    Proportion of men and women in each hourly pay quartile.

    • All staff

    Women 40%, men 60%

    This measure excludes staff not on full pay at 31 March 2020 (e.g. statutory maternity pay, long term sickness or unpaid career breaks)

    • Lower Quartile

    Women 41%, men 59%

    • Lower Middle Quartile

    Women 39%, men 61%

    • Upper Middle Quartile

    Women 39%, men 61%

    • Upper Quartile

    Women 38%, men 62%

    The upper quartile of staff comprises 38% female staff and the lower quartile comprises 41%. This compares with the wider Forestry Commission population of 40% female (The Forestry Commission workforce is split 60.6% male and 39.4% female. These numbers cover all staff including those not on full pay at 31 March 2020 (e.g. statutory maternity pay, long term sickness or unpaid career breaks). In the last year we have seen a decrease in women in the lower pay bands and an increase of women in the higher pay band. This will explain the positive reduction in our gender pay gap since our last publication. To reduce the pay gap further we would need to see more women in the upper pay quartile.

    Causes of the Gender Pay Gap at FC

    Forestry work has historically attracted fewer female candidates than male candidates. This is particularly the case in forestry operational roles. This imbalance is improving and the proportion of female employees has increased over the past few years from 35% to 40%. In 2005 the gender pay gap at the Forestry Commission was 21%. Significant work has been undertaken over recent years to reduce this to the current position.

    Working to reduce the Gender Pay Gap

    The Forestry Commission is committed to improving our gender pay gap and has a number of programmes underway looking to reduce it, these include:

    Narrowing of Pay Ranges

    The 2019 and 2020 pay review have resulted in one grade changing to a spot rate and we have narrowed ranges at several other grades. This has resulted in a narrowing of our gender pay gap. When the pay remit allows further activity will be undertaken to continue this positive progress.

    Offer 2020

    Offer 2020 is a programme which is reviewing our offer to staff. This includes everything from pay and benefits through to staff wellbeing and development. Part of this programme is looking at operational roles and whether anything can be done to improve the pay scales. Any changes achieved in this area will support a further reduction in the gender pay gap.

    Women in Forestry Programme Board

    At the Forestry Commission, we strongly believe in listening to staff and acting on what they say. We have run a number of women in forestry focus groups to unders

  6. Prosperity Fund Global Trade Programme annual review 2020

    • gov.uk
    Updated Jun 24, 2021
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    Foreign, Commonwealth & Development Office (2021). Prosperity Fund Global Trade Programme annual review 2020 [Dataset]. https://www.gov.uk/government/publications/prosperity-fund-global-trade-programme-annual-review-2020
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    Dataset updated
    Jun 24, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Foreign, Commonwealth & Development Office
    Description

    This second annual review of the Prosperity Fund Global Trade Programme (GTP), covers July 2019 to August 2020. The review covers the GTP as a whole programme, including the Service Manager (SM), World Bank/World Customs Organisation, and UK Trade Partnerships Programme components.

    The GTP is the single largest Prosperity Fund programme. It will provide technical assistance and other support to facilitate free trade and open markets for middle-income countries eligible for Official Development Assistance (ODA), enabling greater investment and interaction with global value chains to create jobs and prosperity. This will be delivered through 2 core objectives that aim to boost equitable economic growth and reduce poverty to:

    1. enable partner countries to identify and remove non-tariff barriers
    2. create the conditions for increased international trade in support of the UK government’s objectives

    With poverty reduction as the primary objective, the GTP will also deliver secondary benefits through increasing market access for international businesses, including from the UK. It will also build bilateral partnerships on trade related issues with important emerging markets, in support of the UK trade strategy.

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HM Revenue & Customs (2025). Table 3.1a Percentile points from 1 to 99 for total income before and after tax [Dataset]. https://www.gov.uk/government/statistics/percentile-points-from-1-to-99-for-total-income-before-and-after-tax
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Table 3.1a Percentile points from 1 to 99 for total income before and after tax

Explore at:
45 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Mar 12, 2025
Dataset provided by
GOV.UKhttp://gov.uk/
Authors
HM Revenue & Customs
Description

The table only covers individuals who have some liability to Income Tax. The percentile points have been independently calculated on total income before tax and total income after tax.

These statistics are classified as accredited official statistics.

You can find more information about these statistics and collated tables for the latest and previous tax years on the Statistics about personal incomes page.

Supporting documentation on the methodology used to produce these statistics is available in the release for each tax year.

Note: comparisons over time may be affected by changes in methodology. Notably, there was a revision to the grossing factors in the 2018 to 2019 publication, which is discussed in the commentary and supporting documentation for that tax year. Further details, including a summary of significant methodological changes over time, data suitability and coverage, are included in the Background Quality Report.

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