Official Statistics

11. Monetary Value of Fraud and Error in the Benefit System: data table

Updated 11 July 2014
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11. Monetary Value of Fraud and Error in the Benefit System
Data source
DWP administrative data
Time period and availability
Preliminary estimates for 2013/14 were released on 15th May 2014. This covers the period from October 2012 - September 2013.
Splits currently available by age and gender
What does this tell us?
This is the primary Departmental indicator for levels of fraud and error in the benefit system. The Fraud and Error National Statistics published for this indicator include global estimates for fraud and error in the benefit system.
In addition there are more detailed estimates for Income Support, Jobseeker’s Allowance, Employment and Support Allowance, Pension Credit and Housing Benefit, and for types of error. This indicator is important for Departmental assurance on the effect of
anti-fraud and error activity across the businesses.
Statistical significance is not available for this indicator because sample sizes are very small. General trends can be inferred from comparing data year-on-year.
How will an improvement be shown?
Generally, a decrease in the indicator will demonstrate if an improvement has been achieved but economic conditions and overall expenditure will also need to be taken into account.
Links to other information that you may find useful
Reports on the monetary value of fraud and error in the benefits system are available at: https://www.gov.uk/government/collections/fraud-and-error-in-the-benefit-system
11. Monetary Value of Fraud and Error in the Benefit System
Table 11.1: Estimates of Fraud and Error Overpayments for Income Support
Income Support
All Claimants
Female Claimants
Male Claimants
Table 11.2: Estimates of Fraud and Error Overpayments for Jobseeker's Allowance
Jobseeker's Allowance
All Claimants
Female Claimants
Male Claimants
Table 11.3: Estimates of Fraud and Error Overpayments for Pension Credit
Pension Credit
All Claimants
Female Claimants
Male Claimants
Table 11.4: Estimates of Fraud and Error Overpayments for Housing Benefit
Housing Benefit
All Claimants
Female Claimants
Male Claimants
Table 11.5: Estimates of Fraud and Error Overpayments for Employment and Support Allowance
Employment and Support Allowance
All Claimants
Female Claimants
Male Claimants
Notes:
1. All expenditure values in the table are rounded to the nearest 10m.
2. Some estimates may not sum due to rounding.
3. Some lower level age group breakdowns may not be available due to small sample sizes.
4. Estimates are subject to sampling uncertainty – data is sourced from a stratified sample of administrative data from the DWP benefit systems.
5. Proportions for each age group are also available in the supporting data spreadsheets.
6. Statistical significance is not available for this indicator.
11. Monetary Value of Fraud and Error in the Benefit System
Table 11.6: Estimates of Fraud and Error Underpayments for Income Support
Income Support
All Claimants
Female Claimants
Male Claimants
Table 11.7: Estimates of Fraud and Error Underpayments for Jobseeker's Allowance
Jobseeker's Allowance
All Claimants
Female Claimants
Male Claimants
Table 11.8: Estimates of Fraud and Error Underpayments for Pension Credit
Pension Credit
All Claimants
Female Claimants
Male Claimants
Table 11.9: Estimates of Fraud and Error Underpayments for Housing Benefit
Housing Benefit
All Claimants
Female Claimants
Male Claimants
Table 11.10: Estimates of Fraud and Error Underpayments for Employment and Support Allowance
Employment and Support Allowance
All Claimants
Female Claimants
Male Claimants
Notes:
1. All expenditure values in the table are rounded to the nearest 10m.
2. Some estimates may not sum due to rounding.
3. Some lower level age group breakdowns may not be available due to small sample sizes.
4. Estimates are subject to sampling uncertainty – data is sourced from a stratified sample of administrative data from the DWP benefit systems.
5. Proportions for each age group are also available in the supporting data spreadsheets.
6. Statistical significance is not available for this indicator.