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TwitterIn the 2023/24 financial year, various measures of inequality in the United Kingdom are higher than in the late 1970s. The S80/20 ratio increased from ****to ***, the P90/10 ratio from ****to ***, and the Palma ratio from *** to ***.
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TwitterIn 2024, the United Kingdom's Gini coefficient score was 34.1, an increase when compared with the previous year. The Gini coefficient is a measurement of inequality within economies, a lower score indicates more equality while a higher score implies more inequality.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Historical dataset showing U.K. income inequality - gini coefficient by year from N/A to N/A.
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TwitterAt the turn of the twentieth century, the wealthiest one percent of people in the United Kingdom controlled 71 percent of net personal wealth, while the top ten percent controlled 93 percent. The share of wealth controlled by the rich in the United Kingdom fell throughout the twentieth century, and by 1990 the richest one percent controlled 16 percent of wealth, and the richest ten percent just over half of it.
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TwitterThese 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.
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Examines how taxes and benefits redistribute income between various groups of households in the UK. The study shows where different types of households and individuals are in the income distribution and looks at the changing levels of income inequality over time.
Source agency: Office for National Statistics
Designation: National Statistics
Language: English
Alternative title: household income
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TwitterThis is the 21st edition of the households below average income (HBAI) series. This publication presents information on potential living standards as determined by disposable income in 2008/09, changes in income patterns over time and income mobility.
Find out how low income is measured.
The chapters in this publication include an overview of the background, changes over time and show:
The appendices in this publication include the glossary and definitions of the terms used, more detail on HBAI methodology and additional analyses including:
Data tables and charts in spreadsheet format are also available as attachments within the main PDF publication.
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Average UK household incomes taxes and benefits by household type, tenure status, household characteristics and long-term trends in income inequality.
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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This article provides an initial insight into key measures of household income and inequality, along with analysis of how these measures have changed over time. Source agency: Office for National Statistics Designation: National Statistics Language: English
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TwitterOfficial statistics are produced impartially and free from political influence.
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TwitterRatio of household equivalised income of the top 10 per cent of households to the income of the bottom 10 per cent of households. Ratio calculated using weekly household income adjusted to take account of differences in numbers and ages of residents. This dataset is one of the Greater London Authority's measures of Economic Fairness. Click here to find out more. This dataset is one of the Greater London Authority's measures of Economic Development strategy. Click here to find out more.
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TwitterThe 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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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Proportions and numbers of children, working age adults and pensioners in Scotland in absolute and relative poverty. Also contains figures on the distribution of household income. Source agency: Scottish Government Designation: National Statistics Language: English Alternative title: Poverty and Income Inequality in Scotland
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TwitterThe overall wealth of households in the United Kingdom was **** trillion British pounds in the period between 2020 and 2022. Of this overall wealth, the top ten percent of households had over *** trillion pounds of wealth, compared with **** billion owned by the lowest wealth decile.
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TwitterThis analysis, produced by the Office for National Statistics (ONS), examines how taxes and benefits redistribute income between various groups of households in the United Kingdom. It shows where different types of households and individuals are in the income distribution and looks at the changing levels of income inequality over time. The main sources of data for this study are:
Some variables have been created by combining data from the LCF (previously FES or EFS) with control totals from a variety of different government sources, including:
For further information, see the ONS Effects of taxes and benefits on household income webpage.
Users should note that the combined ETB household (1977-2021) and person (2018-2021) datasets replace all previous individual year files, which have been withdrawn from use at the depositor's request.
Latest edition information
For the fourth edition (December 2025), replacement data and documentation for 2022 and 2023, and new data/documentation for 2024 were added to the study.
Method of Data Collection
The ETB has been produced each year since 1961 and is an annual analysis looking at how taxes and benefits affect the income of households in the UK.
Since 2018, the estimates in this analysis are based on data derived from the HFS Survey (the HCF is not currently held by the UK Data Service). The HFS is an annual survey of the expenditure and income of private households. People living in hotels, lodging houses, and in institutions such as old people's homes are excluded. Each person aged 16 and over keeps a full record of payments made during 14 consecutive days and answers questions about hire purchase and other payments; children aged 7 to 15 keep a simplified diary. The respondents also give detailed information, where appropriate, about income (including cash benefits received from the state) and payments of Income Tax. Information on age, occupation, education received, family composition and housing tenure is also obtained. The survey is continuous, interviews being spread evenly over the year to ensure that seasonal effects are covered. The Family Spending publication also includes an outline of the survey design.
The HFS data used in this analysis are grossed so that totals reflect the total population of private households in the UK. The weights are produced in two stages. First, the data are weighted to compensate for non-response (sample-based weighting). The non-response weights are then calibrated so that weighted totals match population totals for males and females in different age groups and for different regions and countries (population-based weighting). The results in the analysis are weighted so that statistics represent the total population in private households in the UK based on 2011 Census data. In 2013/14, an additional calibration to the Labour Force Survey (LFS) employment totals was also applied.
There are a number of different measures of income used, the most common of which is probably household disposable income. This is the total income households receive from employment (including self-employment), income from private pensions, investments and other sources, plus cash benefits (including the state pension), minus direct taxes (including income tax, NI and council tax). Income is normally analysed at the household level as this provides a better measure of people's economic well-being; while income is usually received by individuals, it is normally shared with other household members (e.g. spouse/partner and children).
In 2018/19 a further adjustment was applied to the data to adjust for the under coverage and under-reporting of income of the richest individuals. This method is often referred to as the 'SPI adjustment' owing to its use of HM Revenue and Customs (HMRC's) Survey of Personal Incomes (SPI). For further details please see the ETB https://www.ons.gov.uk/peoplepopulationandcommunity/personalandhouseholdfinances/incomeandwealth/methodologies/theeffectsoftaxesandbenefitsonukhouseholdincome">Quality and Methodology Information webpage and the https://www.ons.gov.uk/peoplepopulationandcommunity/personalandhouseholdfinances/incomeandwealth/articles/theeffectsoftaxesandbenefitsonhouseholdincome/financialyearending2019">Effects of Taxes and Benefits on Household Income Technical Report.
Data Sources
The Household Finances Survey (HFS) is the source of the microdata on households from 2018 onwards. Previously, the Living Costs and Food Survey (LCF) was the data source. Derived variables are created using information from HFS and control totals from a variety of different government sources including the United Kingdom National Accounts (ONS Blue Book), HM Revenue and Customs, Department for Transport, Department of Health, Department for Education and Employment, and Department for Communities and Local Government.
Secure Access version
A Secure Access version of the ETB is available from the UK Data Archive under SN 8253, subject to stringent access conditions. The Secure Access version includes variables that are not included in the standard End User Licence (EUL) version, including case number, age and economic position of chief economic supporter, and government office region. Users are strongly advised to check whether the EUL version is sufficient for their needs before considering an application for the Secure Access version.
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TwitterIncome Dynamics provides estimates of the likelihood of the same people being persistently in low income in at least 3 out of 4 years and of mobility across the income distribution.
It does this using a survey which follows respondents over time. This is unlike the survey underlying the Households Below Average Income (HBAI) series, which looks at the distribution of incomes with different samples each year.
The Department for Work and Pensions (DWP) previously published low income dynamics statistics based on the British Household Panel Survey (BHPS). The final release was published on 23 September 2010.
The BHPS has now been subsumed into the https://www.understandingsociety.ac.uk/about">Understanding Society survey, a longitudinal study about life in the UK and how it’s changing. This survey now forms the basis for Income Dynamics.
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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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
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TwitterOfficial statistics are produced impartially and free from political influence.
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TwitterPercentage of total wealth owned by households in each decile for London and Great Britain. Data extracted from the ONS Wealth and Assets Survey (WAS) microdata. This dataset is one of the Greater London Authority's measures of Economic Fairness. Click here to find out more.
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Provides early or provisional estimates of median equivalised disposable income and measures of income inequality ahead of revised estimates from the effects of taxes and benefits on household income.
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TwitterIn the 2023/24 financial year, various measures of inequality in the United Kingdom are higher than in the late 1970s. The S80/20 ratio increased from ****to ***, the P90/10 ratio from ****to ***, and the Palma ratio from *** to ***.