Housing Benefit Debt Recoveries statistics: April to September 2023
Published 6 March 2024
The latest release of these statistics can be found in the听collection of Housing Benefit: debt recoveries statistics.
Housing Benefit (HB) is an income-related benefit that is intended to help meet housing costs for rented accommodation.
This publication updates statistics on the amount of HB that local authorities (LAs) identified had been overpaid to claimants, the amount recovered, and the amount written off, with data for the first two quarters of FYE 2024 (April 2023 to September 2023).
1.听惭补颈苍 stories
During the first two quarters of FYE 2024:
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LAs identified 拢225 million overpaid HB 鈥 拢16 million more than the first two quarters of FYE 2023听
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LAs recovered 拢218 million overpaid HB 鈥 拢19 million more than the first two quarters of FYE 2023听
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LAs wrote off 拢31 million overpaid HB 鈥 拢1 million less than the first two quarters of FYE 2023听
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At the start of Q2 of FYE 2024, there was 拢1.69 billion outstanding overpaid HB 鈥 拢45 million less than at the start of Q2 of FYE 2023
2.听奥丑补迟 you need to know
This summary contains statistics on the amount of overpaid听HB identified, recovered and written-off by LAs.听The statistics are based on the Housing Benefit Debt Recovery (HBDR) returns, collected from LAs each quarter.听听
The statistics are published twice a year, in March and September. The March publication contains data for the first two quarters of the financial year (April to September). The September publication contains finalised data for the whole of the financial year.
Data tables听containing data that underpin the charts and figures featured in this statistical summary are available.听As well as the regional and GB totals shown in this statistical summary, the data tables show figures for individual LAs.
厂辞尘别听LAs do not send data returns every quarter or cannot supply data for all fields.听In early years of the HBDR collection, estimates were made of missing data.听These were added to the data that LAs did return to produce estimates of GB totals.
In the charts in this summary, GB figures up to Quarter 2 of FYE 2017 are 鈥渋mputed鈥 totals, based on estimates of missing LA data.听From Quarter 3 of FYE 2017, figures shown are those actually returned by LAs, with no estimates being made for missing data. However, the amount of missing data excluded from the figures is small 鈥 for Q1 and Q2 FYE 2024, returns were received covering 98.7% of HB claimants in GB. Please see section 8 for more information about this.
Since the end of 2018, most new working-age claimants have claimed the housing element of Universal Credit (UC) rather than HB. The number of people claiming听HB听has been steadily decreasing and will continue to fall as existing HB claims transfer to UC.听 This has had an impact, both on the amount of overpaid HB identified by LAs, and the amount of overpaid HB that they recover.
3.听罢辞迟补濒 outstanding HB overpayments
Total outstanding HB overpayments in听Great Britain听from Q1 FYE 2010 to Q2 FYE 2024 (拢 billions)
Source: HBDR data tables
At the start of Q2 of FYE 2024, total outstanding HB overpayments stood at 拢1.69 billion. This was 拢45 million (3%) less than at the start of Q2 of FYE 2023.
The value of outstanding overpayments followed a generally increasing trend from 拢554 million in听Q2听FYE听2009, until it reached a peak of 拢2.12 billion in听Q4听of the听FYE听2018 and has gradually declined since. During the first two quarters of the听FYE听2024, the total value of outstanding overpayments continued to follow a decreasing trend and was 拢1.70 billion in Q1 and 拢1.69 billion in Q2.
Amount of overpaid HB identified / recovered and written-off by LAs from Q1 FYE 2010 to Q2 FYE 2024 (拢 millions)
Source: HBDR data tables
Prior to end of FYE 2018 the amount of overpaid HB identified was always greater than the amount recovered or written off, but since then the total amount of overpaid HB outstanding has been falling because LAs are recovering or writing-off more HB overpayments than they newly identify. In Q2 of FYE 2024, LA鈥檚 identified 拢117 million overpaid HB, but recovered 拢113 million and wrote-off 拢16 million.
Total outstanding HB overpayments by region, at the start of听Q2听of FYE 2024
Region | Total outstanding HB overpayments (拢 millions) | % of GB total |
---|---|---|
Great Britain | 1686 | 100% |
North East | 52 | 3% |
North West | 160 | 9% |
Yorkshire and The Humber | 85 | 5% |
East Midlands | 75 | 4% |
West Midlands | 148 | 9% |
East | 109 | 6% |
London | 599 | 36% |
South East | 193 | 11% |
South West | 89 | 5% |
Wales | 44 | 3% |
Scotland | 133 | 8% |
Source: HBDR data tables
At the start of Q2 of FYE 2024, London LAs reported 拢599 million outstanding overpaid HB, just over a third (36%) of the GB total. At the start of Q2 of FYE 2024, 90% of the outstanding overpaid HB in GB was in LAs in England, 3% in LAs in Wales and 8% in LAs in Scotland.
4.听Housing Benefit overpayments identified by LAs
HB overpayments identified in听Great Britain,听from Q1听of FYE 2010 to Q2听of FYE 2024 (拢 millions)
Source: HBDR data tables
Historically there was an increasing trend in the amount of identified overpayments from Q1 of听FYE听2009 to听Q2听of FYE听2016 where the amount identified reached a high of 拢322million. After this, the amount of HB debt identified has fluctuated but generally followed a downward trend to a low of 拢92 million in Q3 of FYE 2021. Since then, the quarterly amount of overpaid HB that LAs identified has increased, with 拢107 million being identified in Q1 of FYE 2024 and 拢117 million in the latest quarter (Q2 of FYE 2024).听
Factors influencing the amount of HB overpayment identified by LAs include:
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the Fraud and Error Reduction Incentive Scheme (FERIS) was introduced in Q3 of FYE 2015 to help LAs to identify and prevent HB overpayment.听Around the same time, real-time information (RTI) on claimant鈥檚 incomes became available to LAs. The income that claimants reported on their HB claims was checked against RTI on claimants鈥 actual income from HM Revenue & Customs (HMRC).听These checks led to undeclared income, and consequently overpaid HB, being identified by LAs
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UC rollout 鈥 most new working-age claimants have claimed the housing element of UC rather than HB
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during the COVID-19 lockdowns in Q4 FYE 2020 and FYE 2021, many LAs redeployed staff away from processing and debt recovery to other frontline activities and restricted face-to-face meetings between staff and claimants
Total HB overpayments identified by LAs, by region, Q1 and Q2 FYE 2024
Region | Total HB overpayments identified (拢 millions) | % of GB total |
---|---|---|
Great Britain | 225 | 100% |
North East | 6 | 3% |
North West | 20 | 9% |
Yorkshire and The Humber | 14 | 6% |
East Midlands | 10 | 4% |
West Midlands | 26 | 12% |
East | 16 | 7% |
London | 76 | 34% |
South East听 | 25 | 11% |
South West | 13 | 6% |
Wales | 7 | 3% |
Scotland | 12 | 5% |
Source: HBDR data tables
The amount of overpaid HB identified by LAs in the first two quarters of FYE 2024 ranged from 拢6 million in the North East (1% of the GB total) to 拢76 million (34% of the GB total) in London.听Of the overpaid HB identified in GB, 92% were identified by LAs in England, 3% in Wales and 5% in Scotland.
Average HB听overpayment identified per claimant per month, by region, Q1 and Q2 FYE 2024
Region | Average听HB听overpayment newly identified per claimant per month |
---|---|
Great Britain | 拢15.70 |
England | 拢16.99 |
North East | 拢8.20 |
North West | 拢11.73 |
Yorkshire and The Humber | 拢11.49 |
East Midlands | 拢11.19 |
West Midlands | 拢19.83 |
East | 拢14.62 |
London | 拢29.39 |
South East | 拢16.27 |
South West | 拢12.20 |
Wales | 拢9.69 |
Scotland | 拢8.02 |
Source: HBDR data tables and
During Q1 and Q2 of FYE 2024, LAs identified overpaid HB equivalent to 拢15.70 per claimant per month. LAs in London identified the highest amount of overpaid HB, equivalent to 拢29.39 per claimant per month. LAs in England identified overpaid HB equivalent to 拢16.99 per claimant per month, compared with 拢9.69 in Wales and 拢8.02 in Scotland.
5.听Housing Benefit overpayments recovered
HB overpayments recovered in听Great Britain听from听Q1听of FYE 2010 to听Q2听of FYE 2024 (拢 millions)
Source: HBDR data tables
Historically, the total value of overpayments recovered has tended to vary seasonally between quarters. Overall, from Q4 FYE 2010, it has followed an upwards trend, reaching a high of 拢175 million in听Q4听of FYE听2018. The听FYE听2019 was the first where the amount of overpayments recovered saw a decreasing trend. This decrease continued to the first two quarters of the听FYE听2021, with the decrease from听Q4听of the听FYE听2020 to听Q1听of the听FYE听2021 being the greatest decrease observed between consecutive quarters, within the time series (拢30 million). This decrease should be seen in context with the effects of the COVID-19 pandemic, which resulted in the majority of debt recovery staff not being in post for several months.
The amount of HB that LAs recovered in the latest two quarters was 拢105 million in Q1 and 拢113 million in Q2 of FYE 2024.
Total HB overpayments recovered, by region, Q1 and Q2 FYE 2024
Region | Total听HB听overpayments recovered (拢 millions) | % of听GB听total |
---|---|---|
Great Britain | 218 | 100% |
North East | 7 | 3% |
North West | 19 | 9% |
Yorkshire and The Humber | 14 | 6% |
East Midlands | 10 | 5% |
West Midlands | 27 | 12% |
East | 27 | 7% |
London | 16 | 30% |
South East | 66 | 12% |
South West | 27 | 6% |
Wales | 13 | 3% |
Scotland | 7 | 6% |
Source: HBDR data tables
The total amount of overpaid HB that LAs recovered in the latest two quarters of FYE 2024 was 拢218 million. In the first two quarters of FYE 2024, LAs in London reported 30% of the total amount of听HB听overpayments recovered in听GB. Of the total HB overpayments recovered in GB, 91% were recovered by LAs in England, 3% by LAs in Wales and 6% by LAs in Scotland.
6.听Housing Benefit overpayments written off
HB overpayments written off in听Great Britain, from听Q4听of FYE 2010 to听Q2听of FYE 2024 (拢 millions)
Source: HBDR data tables
The amount of overpaid HB that LAs wrote-off in the first two quarters of FYE 2024 was 拢31 million. This was a decrease of 1 million when compared to the first two quarters of FYE 2023.
The amount of overpayments written off changes throughout the year. It is generally highest in鈥Q4鈥(January-March) of each financial year, followed by a sharp decrease during鈥Q1鈥痮f the following year. To smooth out seasonality a rolling quarterly average is used in the statistics.
Historically, using the quarterly rolling average figures, the amount of overpayments written off gradually increased from Q4 of FYE 2011 to Q4 of FYE 2018. From Q1 of FYE 2019, the quarterly rolling average figures have gradually decreased to Q4 of FYE 2022. For the most recent two quarters (Q1 and Q2 of FYE 2024), the quarterly rolling average figures have slightly increased.
Taking the financial year as a whole, FYE 2018 saw the highest amount of overpaid HB written off at 拢100 million. In Q1 of FYE 2024, LAs wrote-off 拢18 million overpaid HB, and the same amount, 拢18 million was also written off in Q2 of FYE 2024.
Total HB overpayments written off, by region, Q1 and Q2 FYE 2024
Region | Total HB overpayments written-off (拢 millions) | % of GB total |
---|---|---|
Great Britain | 31.3 | 100% |
North East | 1.2 | 4% |
North West | 2.5 | 8% |
Yorkshire and The Humber | 2.1 | 7% |
East Midlands | 2.1 | 7% |
West Midlands | 2.9 | 9% |
East | 1.8 | 6% |
London | 9.6 | 31% |
South East | 4.1 | 13% |
South West | 2.1 | 7% |
Wales | 1 | 3% |
Scotland | 1.9 | 6% |
Source: HBDR data tables
The amount of overpaid HB written-off by LAs in the first two quarters of FYE 2024 ranged from 拢1 million (3% of the GB total) in Wales to 拢9.6 million (31% of the GB total) in London. 91% of overpaid HB written-off were made by LAs in England, 3% by LAs in Wales and 6% by LAs in Scotland.
7.听About these statistics
This summary contains statistics on the amount of overpaid听HB identified, recovered and written-off by LAs. The statistics are based on the Housing Benefit Debt Recovery (HBDR) returns, collected from LAs each quarter.听
Publication schedule
The statistics are published twice a year, in March and September. The March publication contains data for the first two quarters of the financial year (April to September). The September publication updates the statistics with data for the whole of the financial year.听 Where LAs notified us of changes to their first two quarters鈥 data or provided a late Quarter 1 or Quarter 2 return after the deadline for the March 2024 publication, these will be incorporated into the September 2024 publication.
Supplementary statistics
Data tables听containing data that underpin the charts and figures featured in this statistical summary are available. As well as the regional and GB totals shown in this statistical summary, the data tables show figures for individual LAs.
LAs are asked to provide a breakdown between overpaid 鈥淩ent Allowance鈥 (HB paid to LA tenants) and 鈥淩ent Rebate鈥 (HB paid to housing association and private sector tenants). This breakdown is shown in the supplementary tables, in those LAs for which it is available.
Data completeness
厂辞尘别听LAs do not send data returns every quarter or cannot supply data for all fields. This produces missing data in the returns. The table at the end of this summary shows the scale of missing data, each year since the HBDR collection began. 听
In the first year of the HBDR collection (FYE 2009) LAs that returned data accounted for less than 75% of all HB claimants.听In view of the scale of missing returns in FYE 2009, data for FYE 2009 have been excluded from the charts in this summary.
After the first year, response rates improved. In FYE 2010, responses were received covering approximately 96.5% of all HB claimants and from FYE 2014, over 99% of HB claimants were covered by the returns.
Up to Q2 of FYE 2017, when an LA did not send a return, its figures were estimated.听 These estimates were added to the returns that LAs did submit, to produce an 鈥渋mputed鈥 GB total. Information on how these estimates were calculated is available in the background information document.
During FYE 2017, the methodology for treating missing LA data was reviewed.听It was decided that, in recent years, the amount of data missing from the HBDR return had reduced to the point that estimates were unnecessary. Therefore, in this statistical summary, while 鈥渋mputed鈥 GB totals are shown for earlier years, all of the figures from Q3 of FYE 2017 onwards are based on the data actually returned by LAs.
Overall, for Q1 and Q2 of FYE 2024, returns were received covering 98.9% of HB claimants in GB. We continue to work with LAs to reduce the number of missing returns and will review our policy for treating missing data should the number of missing returns increase.
Comparability
As well as missing data, the background information document describes a number of other factors that need to be considered when comparing data. These include:
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it is not possible to make direct comparisons between the amount of HB overpayments that LAs identify during a particular period and the amount of overpayment that they recover in that period.听Firstly, because overpayments are not necessarily identified in the same period that they occurred.听Secondly, because overpayments are not necessarily recovered in the same period that they are identified
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the number of people claiming HB has been decreasing and will continue to fall as Universal Credit (UC) replaces HB for working age claimants
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the Fraud and Error Reduction Incentive Scheme (FERIS) provided LAs with tools to help them identify and prevent overpaid HB.听 Real-time information (RTI) on claimants鈥 income became available to LAs at around the same time (Q3 of FYE 2015).听 This allowed LAs to identify income that claimants had failed to report on their HB claims, which in turn led to an increase in the amount of overpaid HB that LAs were able to identify
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at the start of the COVID-19 pandemic, many LAs redeployed staff away from debt recovery to frontline activities and restricted face-to-face meetings between staff and claimants
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LAs sometimes identify an amount by which a HB claimant has been overpaid, but then revise this amount at a later date. In some cases, for instance, 鈥渦nderlying entitlement鈥 might be retrospectively applied to an overpayment, reducing the amount that the claimant was originally thought to owe.听Conversely, an LA might retrospectively reverse their decision to write-off an overpayment.听These revisions lead to a discrepancy between figures for one quarter and the next
The total amount of HB overpayment at the start of a quarter should, in theory, equal the total amount of overpayment at the start of the previous quarter, plus the amount of overpayment newly identified during the previous quarter, minus the amount of overpayment recovered and written-off during the previous quarter.听However, this is not the case in all LAs.听Nationally, the total amount of outstanding HB overpayment that LAs reported at the start of Q2 of FYE 2024 was 0.32% less than the figures reported in Q1 suggested it would be.听This difference was a result of revisions made in Q4 to overpayments that LAs first identified in previous quarters. The background information document describes this issue in more detail.
Local authority mergers
There have recently been a number of local authority mergers.听Four LAs in Buckinghamshire, for instance, merged to form a single LA. Although the LAs officially merged in 2020, their IT systems merged later.
Average HB overpayment identified per claimant per month
This summary includes a table showing the equivalent amount of overpaid HB, per claimant per month.听This is calculated by dividing the total amount of overpaid HB identified by LAs in Q1 and Q2 of FYE 2024, by the sum of the HB caseload in each month of Q1 and Q2 FYE 2024.听Data on the number of HB claimants was taken from .
This is not an exact measure because, although LAs might report during a particular quarter that they had identified an amount of overpaid HB, this overpayment might have occurred in a previous quarter or financial year and the claimant whose HB was overpaid may no longer have been receiving HB when the overpayment was identified.
Rounding policy
Percentage figures presented in this document are rounded to the nearest 1%. In some cases, figures may not add up to 100% due to rounding.
Data presented in the tables within this summary have been rounded to the nearest whole number (in millions) except for regional data of HB overpayments written off in Q1 and Q2 FYE 2024. These have been rounded to one decimal place (in millions) to represent a clearer picture of the data as overpayments written off are typically smaller than the other metrics covered in this release.
In the supplementary tables, raw data provided by LAs have been added to generate regional and national totals, before being rounded to the nearest 拢1,000. As a result of this rounding, the sum of the LA figures shown in the tables may be slightly different to the regional and national totals.
Related statistics
These statistics show the amount of HB overpayment that is identified and subsequently recovered by LAs.听DWP carry out a sampling exercise to estimate overall levels of fraud and error in HB, including overpayment not identified by LAs. According to the latest estimate, published in May 2022, there was approximately 拢860 million overpaid HB in FYE 2022. An estimated 拢540 million was overpaid due to fraud, 拢260 million due to claimant error and 拢70 million due to official error.
8.听Housing Benefit Debt Recoveries data: collection processes and accuracy
Data collection
The table below details the list of questions asked to听LAs听as part of the data collection process.
Field | Overpayment Questions |
---|---|
1 | Total value of HB overpayments outstanding at the start of the quarter |
2 | Total value of HB overpayments identified during the quarter |
3 | Total value of HB overpayments recovered during the quarter |
4 | Total value of HB overpayments written off during the quarter |
LAs are asked to provide a breakdown between overpaid 鈥淩ent Allowance鈥 (HB paid to LA tenants) and 鈥淩ent Rebate鈥 (HB paid to housing association and private sector tenants).听 Where this breakdown is available it is shown in the 鈥渟upplementary tables鈥.
Average data return rates
Collection Period | Percentage of HB caseload covered by the HBDR returns |
---|---|
FYE 2009 | 74.0% |
FYE 2010 | 96.5% |
FYE 2011 | 96.3% |
FYE 2012 | 97.9% |
FYE 2013 | 98.7 % |
FYE 2014 | 99.1% |
FYE 2015 | 99.3% |
FYE 2016 | 99.9% |
FYE 2017 | 99.3% |
FYE 2018 | 100.0% |
FYE 2019 | 100.0% |
FYE 2020 | 99.9% |
FYE 2021 | 99.3% |
FYE 2022 | 99.2% |
FYE 2023 | 99.6%! |
Q1 and Q2 FYE 2024 | 98.9% |
9.听Further information
Our听background information document provides further information on the HBDR听statistics, including some of the processes involved in developing and releasing these statistics.
Data tables听containing data that underpin the charts and figures featured in this statistical summary are also published.
National Statistics status
The UK Statistics Authority has designated these statistics as National Statistics, at June 2012, in accordance with the Statistics and Registration Service Act 2007 and signifying compliance with the听.
National Statistics status means that our statistics meet the highest standards of:
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trustworthiness
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quality
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public value
Once statistics have been designated as National Statistics it is our responsibility to maintain compliance with these standards.听In order to assess the quality of the HBDR statistics, in July 2021, LAs were sent a survey, asking them a number of questions about how they complete their returns.听 Information collected on this survey has been incorporated into the background information document.
Other National and Official Statistics
See the schedule of statistical releases听over the next 12 months and a list of the most recent releases.
Feedback
Specific听HBDR听statistics feedback can be submitted via our听HBDR听user questionnaire.
Completed questionnaires can be returned by email to听cbm.stats@dwp.gov.uk
Users can also join the听鈥溾澨齝ommunity. DWP announces items of interest to users via this forum, as well as replying to users鈥 questions.
Lead Statistician: Gillian Leighton cbm.stats@dwp.gov.uk
Statistical Producer: Md Akmal Hossain Sadi
Press enquiries should be directed to the DWP Press Office.
ISBN: 978-1-78659-623-9