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TwitterIn 2024/25 the UK government is expected to spend approximately ******billion British pounds on benefits, compared with the previous year when benefit expenditure was ******billion pounds.
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TwitterIn 2024/25 the United Kingdom spent an estimated 313 billion British pounds on welfare, compared with 297 billion pounds in the previous year.
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TwitterThis is a quarterly National Statistics release of the main DWP-administered benefits via Stat-Xplore or supplementary tables where appropriate.
The https://www.gov.scot/publications/responsibility-for-benefits-overview/">devolution of social security benefits to the Scottish Government is beginning to impact DWP statistics, where benefit administration is moving from DWP to the Scottish Government. As this change takes place, for a transitional period, Social Security Scotland will administer new claims and DWP will continue to administer existing claims under an agency agreement. DWP will no longer hold a complete count of the number of claimants across Great Britain.
We are now considering how we present Official Statistics on disability benefits, and the key change we propose will be the removal of the Great Britain total. Instead, we propose to present totals for England and Wales, where DWP is retaining policy ownership, and a separate breakdown for Scotland where we are administering claims on behalf of the Scottish Government.
Under this proposal DWP would only make presentational changes when a material impact on the benefit statistics becomes apparent. We want to continue to provide a total picture for Great Britain in situations where DWP still administer a benefit in its entirety. For Disability Living Allowance, we want to make changes in time for our release in August 2022.
We would welcome your views on these proposed changes, please contact: benefits.statistics@dwp.gov.uk
Please refer to our background information note for more information on Scottish devolution.
During 2019, a new DWP computer system called “Get Your State Pension” (GYSP) came online to handle State Pension claims. The GYSP system is now handling a sizeable proportion of new claims.
We are not yet able to include GYSP system data in our published statistics for State Pension. The number of GYSP cases are too high to allow us to continue to publish State Pension data on Stat-Xplore. In the short term, we will provide GYSP estimates based on payment systems data. As a temporary measure, State Pension statistics will be published via data tables only. This release contains State Pensions estimates for the five quarters to November 2021.
For these reasons, a biannual release of supplementary tables to show State Pension deferment increments and proportions of beneficiaries receiving a full amount has been suspended. The latest available time period for these figures remains September 2020.
We are developing new statistical datasets to properly represent both computer systems. Once we have quality assured the new data it will be published on Stat-Xplore, including a refresh of historical data using the best data available.
Read our background information note for more information about this.
A policy change was introduced in April 2018 whereby Universal Credit (UC) recipients in specified types of temporary accommodation would need to claim support for housing costs through Housing Benefit (HB) rather than the Housing Element of UC. This change has led to a growing number of HB claimants showing in ou
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TwitterSocial protection spending on unemployment in the United Kingdom was 1.3 billion pounds in 2024/25, compared with 1.21 billion in the previous financial year.
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TwitterThe latest release of these statistics can be found in the collection of Abstract of DWP benefit rate statistics.
The Abstract of Department for Work and Pensions (DWP) benefit rate statistics provides:
We are seeking your views about this publication. To help shape future releases we would like to learn more about how the release is being used, and how easy it is to find the information you need.
We’re also asking for feedback on the suitability of sources used in relation to inflation and earnings. Your response to the questionnaire will help us understand the way our statistics are used and what users consider important.
Read the abstract of DWP benefit rate statistics: user questionnaire for more information.
Send comments by email to: benefits.statistics@dwp.gov.uk
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TwitterIn 2024/25 the government of the United Kingdom is expected to spend approximately *****billion British pounds on housing benefits, compared with *****billion in the previous year.
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TwitterThe Abstract of Department for Work and Pensions (DWP) benefit rate statistics provides:
We are seeking your views about this publication. To help shape future releases we would like to learn more about how the release is being used, and how easy it is to find the information you need.
We’re also asking for feedback on the suitability of sources used in relation to inflation and earnings. Your response to the questionnaire will help us understand the way our statistics are used and what users consider important.
Read the abstract of DWP benefit rate statistics: user questionnaire for more information.
Send comments by email to: benefits.statistics@dwp.gov.uk
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TwitterThis report provides estimates of fraud and error levels in the benefit system in Great Britain for the financial year 2021 to 2022.
The main points from the report are:
4.0% of total benefit expenditure was overpaid due to fraud and error
the estimated value of overpayments was £8.6 billion
1.2% of total benefit expenditure (or £2.6 billion) was underpaid due to fraud and error
the net government loss, after recoveries, was £7.6 billion, or 3.5% of benefit expenditure
Send any comments or questions about the fraud and error estimates to: caxtonhouse.femaenquiries@dwp.gov.uk.
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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A compendium publication of benefit rates, RPI, AEI and benefit expenditure. https://www.gov.uk/government/collections/abstract-of-statistics-for-benefits-national-insurance-contributions-and-indices-of-prices-and-earnings (See also https://webarchive.nationalarchives.gov.uk/+/http://research.dwp.gov.uk/asd/index.php?page=abstract) Source agency: Work and Pensions Designation: National Statistics Language: English Alternative title: Annual Abstract
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TwitterIn 2023/24, 57 percent of households in Northern Ireland were receiving a type of state benefit, the highest in the United Kingdom in that reporting year. By comparison, 39 percent of households in London were receiving benefits, the lowest in the UK.
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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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TwitterThis publication provides estimates of the levels of fraud and error in the benefit system in Great Britain, for the financial year ending 2024.
The main stories from the publication are:
3.7% (£9.7 billion) of total benefit expenditure was overpaid due to fraud and error.
0.4% (£1.1 billion) of total benefit expenditure was underpaid due to fraud and error
the net loss to the Department for Work and Pensions, after accounting for recoveries, was 3.2% (£8.6 billion) of total benefit expenditure
The estimates that were previously reported as Claimant Error underpayments have been removed from the ‘Fraud and error in the benefit system’ publication and are now reported separately in the Unfulfilled eligibility in the benefit system statistics release.
Feedback or enquiries about these statistics should be directed by email to: enquiries.fema@dwp.gov.uk
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Provides monthly and quarterly information on all HMRC taxes, including tax receipts, the number of taxpayers, personal tax credits, child benefit and estimates of the cost of tax expenditures and structural relief. Source agency: HM Revenue and Customs Designation: National Statistics Language: English Alternative title: Revenue Based Taxes
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Provides monthly and quarterly information on all HMRC taxes, including tax receipts, the number of taxpayers, personal tax credits, child benefit and estimates of the cost of tax expenditures and structural relief.
Source agency: HM Revenue and Customs
Designation: National Statistics
Language: English
Alternative title: Revenue Based Taxes
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TwitterThe Department for Work and Pensions (DWP) is seeking your views about the abstract of statistics publication. To help shape future releases we would very much like to learn more about how the release is being used, and how easy it is to find the information you need.
We’re also asking for feedback on the suitability of sources used in relation to inflation and earnings. Your response to the questionnaire will help us understand the way our statistics are used and what users consider important.
Return your completed questionnaire to benefits.statistics@dwp.gov.uk, or if you would prefer to talk to the lead statistician for the series, telephone: Alan Gibson: 0204 560 5899.
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TwitterThe Family Resources Survey (FRS) has been running continuously since 1992 to meet the information needs of the Department for Work and Pensions (DWP). It is almost wholly funded by DWP.
The FRS collects information from a large, and representative sample of private households in the United Kingdom (prior to 2002, it covered Great Britain only). The interview year runs from April to March.
The focus of the survey is on income, and how much comes from the many possible sources (such as employee earnings, self-employed earnings or profits from businesses, and dividends; individual pensions; state benefits, including Universal Credit and the State Pension; and other sources such as savings and investments). Specific items of expenditure, such as rent or mortgage, Council Tax and water bills, are also covered.
Many other topics are covered and the dataset has a very wide range of personal characteristics, at the adult or child, family and then household levels. These include education, caring, childcare and disability. The dataset also captures material deprivation, household food security and (new for 2021/22) household food bank usage.
The FRS is a national statistic whose results are published on the gov.uk website. It is also possible to create your own tables from FRS data, using DWP’s Stat Xplore tool. Further information can be found on the gov.uk Family Resources Survey webpage.
Secure Access FRS data
In addition to the standard End User Licence (EUL) version, Secure Access datasets, containing unrounded data and additional variables, are also available for FRS from 2005/06 onwards - see SN 9256. Prospective users of the Secure Access version of the FRS will need to fulfil additional requirements beyond those associated with the EUL datasets. Full details of the application requirements are available from http://ukdataservice.ac.uk/media/178323/secure_frs_application_guidance.pdf" style="background-color: rgb(255, 255, 255);">Guidance on applying for the Family Resources Survey: Secure Access.
FRS, HBAI and PI
The FRS underpins the related Households Below Average Income (HBAI) dataset, which focuses on poverty in the UK, and the related Pensioners' Incomes (PI) dataset. The EUL versions of HBAI and PI are held under SNs 5828 and 8503, respectively. The Secure Access versions are held under SN 7196 and 9257 (see above).
FRS 2022-23
The impact of the coronavirus (COVID-19) pandemic on the FRS 2022-23 survey was much reduced when compared with the two previous survey years. Throughout the year, there was a gradual return to pre-pandemic fieldwork practices, with the majority of interviews being conducted in face-to-face mode. The achieved sample was just over 25,000 households. Users are advised to consult the FRS 2022-23 Background Information and Methodology document for detailed information on changes, developments and issues related to the 2022-23 FRS data set and publication. Alongside the usual topics covered, the 2022-2023 FRS also includes variables for Cost of Living support, including those on certain state benefits; energy bill support; and Council Tax support. See documentation for further details.
FRS 2021-22 and 2020-21 and the coronavirus (COVID-19) pandemic
The coronavirus (COVID-19) pandemic has impacted the FRS 2021-22 and 2020-21 data collection in the following ways:
The FRS team are seeking users' feedback on the 2020-21 and 2021-22 FRS. Given the breadth of groups covered by the FRS data, it has not been possible for DWP statisticians to assess or validate every breakdown which is of interest to external researchers and users. Therefore, the FRS team are inviting users to let them know of any insights you may have relating to data quality or trends when analysing these data for your area of interest. Please send any feedback directly to the FRS Team Inbox: team.frs@dwp.gov.uk
Latest edition information
For the second edition (May 2025), the data were redeposited. The following changes have been made:
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TwitterIn 2021, the Greater London Authority (GLA) commissioned the London School of Economics (LSE) to conduct a robust Social Cost Benefit Analysis (SCBA) of the removal of the NRPF restriction for certain migrant groups with work related visas, and their family members.
They did this by quantifying all the costs that would be imposed on central and local government as a result and quantifying all the benefits to society that would arise from giving these migrants access to public funds.
The researchers employed a mixed-methods research approach that combined quantitative and qualitative techniques. The cost-benefit calculations drew on established methods for producing spreadsheet-based estimates, in money terms, of the overall costs and gains to society from a change in policy—in this case the lifting of NRPF conditions.
The final report, published in March 2022, is available to download below, along with the Excel spreadsheets detailing the SCBA models.
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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The effects of direct and indirect taxation and benefits received in cash or kind on household income, across the generations and by age.
This data is estimated by combining multiple years of the Living Costs and Food Survey from 1978 to financial year ending March 2017 and the Household Finances Statistics, from financial year ending 2018 to financial year ending 2021 with the exception of 1979 and 1981. All financial amounts are adjusted for inflation using the Consumer Prices Index including owner occupiers’ housing costs (CPIH) excluding Council Tax, to their financial year ending March 2018. For example, the mean disposable income for those aged 35 and born in the 1970’s (£35,752) is estimated by taking the average (in real terms) of the household disposable income for these people across the combined dataset.
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TwitterThe UK government spent approximately 76 million pounds on statutory sick pay in 2022/23, compared with 57 million in 2020/21. Government expenditure on sickness benefits peaked in real terms during the 1969/70 financial year, and was replaced by statutory sick pay (SSP) in 1983. SSP was gradually phased out in the 1990s, and the costs of sickness absence passed onto employers, resulting in zero government expenditure between 2015/16 and 2019/20. The expenditure in 2020/21 and 2021/22 was due to the COVID-19 Statutory Sick Pay Rebate Scheme.
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Information about the taxable benefits in kind paid by employers, including the number of recipients, the taxable value of the benefits and tax and NIC liabilities on them. Previously listed under 'Revenue-based Taxes and Benefits: Taxable benefits in kind and expenses payments'. Source agency: HM Revenue and Customs Designation: National Statistics Language: English Alternative title: Taxable Benefits in Kind and Expense Payments
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TwitterIn 2024/25 the UK government is expected to spend approximately ******billion British pounds on benefits, compared with the previous year when benefit expenditure was ******billion pounds.