Official Statistics

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

Published
Download CSV 16.3KB

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 Ages Under 25 25-34 35-44 45-49 50-64
All Claimants Fraud 2.2% £80m 2.3% £20m 3.0% £30m 1.3% £10m 1.6% £10m 2.3% £20m
Claimant Error 1.3% £50m 1.2% £10m 0.8% £10m 1.5% £10m 1.1% £0m 1.8% £10m
Official Error 0.5% £20m 0.2% £0m 0.4% £0m 0.5% £0m 0.6% £0m 0.9% £10m
Total 4.0% £150m 3.7% £30m 4.2% £40m 3.3% £30m 3.3% £10m 5.0% £40m
Female Claimants Fraud 2.2% £60m 2.3% £10m 2.8% £30m 1.3% £10m 1.9% £0m 2.0% £10m
Claimant Error 1.3% £40m 1.3% £10m 0.9% £10m 1.9% £10m 1.0% £0m 1.5% £10m
Official Error 0.5% £10m 0.2% £0m 0.5% £0m 0.4% £0m 0.5% £0m 1.1% £0m
Total 4.0% £110m 3.8% £30m 4.2% £40m 3.6% £20m 3.5% £10m 4.6% £20m
Male Claimants Fraud 2.3% £20m 2.1% £0m 4.1% £10m 1.3% £0m 1.2% £0m 2.7% £10m
Claimant Error 1.2% £10m 0.0% £0m 0.0% £0m 0.5% £0m 1.4% £0m 2.2% £10m
Official Error 0.5% £0m 0.0% £0m 0.0% £0m 0.6% £0m 0.6% £0m 0.6% £0m
Total 3.9% £40m 2.1% £0m 4.1% £10m 2.4% £10m 3.1% £10m 5.5% £20m
Table 11.2: Estimates of Fraud and Error Overpayments for Jobseeker's Allowance
Jobseeker's Allowance All Ages Under 25 25-34 35-44 45-49 50-54 55-64
All Claimants Fraud 2.6% £120m 2.3% £20m 3.3% £40m 2.4% £20m 3.0% £10m 1.0% £0m 3.2% £10m
Claimant Error 0.3% £10m 0.2% £0m 0.4% £0m 0.2% £0m 0.5% £0m 0.3% £0m 0.3% £0m
Official Error 0.8% £30m 0.7% £10m 0.6% £10m 1.0% £10m 0.3% £0m 1.5% £10m 0.8% £0m
Total 3.7% £160m 3.2% £30m 4.4% £50m 3.5% £30m 3.8% £20m 2.8% £10m 4.3% £20m
Female Claimants Fraud 2.2% £30m 2.6% £10m 2.1% £10m 0.6% £0m 4.3% £10m 0.5% £0m 4.5% £10m
Claimant Error 0.2% £0m 0.2% £0m 0.1% £0m 0.3% £0m 0.0% £0m 0.0% £0m 0.2% £0m
Official Error 1.0% £20m 1.2% £0m 0.6% £0m 1.7% £10m 0.2% £0m 1.5% £0m 0.9% £0m
Total 3.4% £50m 4.1% £10m 2.8% £10m 2.7% £10m 4.4% £10m 2.0% £0m 5.6% £10m
Male Claimants Fraud 2.9% £80m 2.1% £10m 3.9% £30m 3.4% £20m 2.3% £10m 1.2% £0m 2.5% £10m
Claimant Error 0.4% £10m 0.2% £0m 0.6% £0m 0.0% £0m 0.8% £0m 0.5% £0m 0.3% £0m
Official Error 0.7% £20m 0.5% £0m 0.7% £10m 0.6% £0m 0.3% £0m 1.5% £0m 0.8% £0m
Total 3.9% £110m 2.8% £20m 5.2% £40m 4.1% £20m 3.4% £10m 3.3% £10m 3.7% £10m
Table 11.3: Estimates of Fraud and Error Overpayments for Pension Credit
Pension Credit All Ages 60-64 65-69 70-74 75-79 80-84 85-89 90 and over
All Claimants Fraud 1.9% £140m 1.8% £30m 3.2% £40m 2.7% £30m 1.2% £10m 0.7% £10m 2.0% £20m 0.2% £0m
Claimant Error 2.1% £150m 2.5% £40m 1.9% £20m 2.5% £30m 1.0% £10m 2.7% £30m 1.6% £10m 2.0% £10m
Official Error 1.8% £130m 1.3% £20m 1.6% £20m 1.4% £20m 1.8% £20m 1.9% £20m 2.4% £20m 3.0% £20m
Total 5.7% £410m 5.6% £80m 6.7% £90m 6.7% £80m 4.0% £40m 5.4% £50m 6.0% £40m 5.3% £30m
Female Claimants Fraud 1.9% £80m 2.6% £10m 3.5% £30m 2.3% £20m 1.6% £10m 0.6% £0m 1.9% £10m 0.3% £0m
Claimant Error 2.1% £90m 5.0% £20m 1.8% £10m 2.6% £20m 0.9% £10m 2.5% £20m 1.1% £10m 2.3% £10m
Official Error 2.0% £80m 1.4% £0m 1.3% £10m 1.6% £10m 1.6% £10m 2.5% £20m 2.5% £10m 3.5% £20m
Total 6.0% £250m 9.0% £30m 6.6% £50m 6.5% £40m 4.2% £30m 5.6% £40m 5.5% £30m 6.1% £30m
Male Claimants Fraud 1.9% £60m 1.6% £20m 2.9% £20m 3.2% £20m 0.5% £0m 1.1% £0m 2.4% £0m 0.0% £0m
Claimant Error 2.0% £60m 1.6% £20m 2.0% £10m 2.5% £10m 1.1% £0m 3.2% £10m 3.2% £10m 1.0% £0m
Official Error 1.5% £50m 1.3% £10m 2.0% £10m 1.2% £10m 2.1% £10m 0.7% £0m 1.8% £0m 0.9% £0m
Total 5.3% £170m 4.5% £50m 6.8% £40m 6.9% £30m 3.7% £10m 5.0% £10m 7.5% £10m 1.8% £0m
Table 11.4: Estimates of Fraud and Error Overpayments for Housing Benefit
Housing Benefit All Ages Under 25 25-34 35-44 45-49 50-54 55-59 60-64 65 and over
All Claimants Fraud 1.4% £340m 1.6% £30m 1.7% £80m 1.9% £100m 1.2% £30m 1.1% £20m 1.4% £20m 0.9% £10m 1.0% £50m
Claimant Error 3.8% £900m 3.0% £50m 5.3% £240m 4.6% £230m 3.6% £80m 5.2% £100m 3.5% £50m 3.6% £50m 1.7% £90m
Official Error 0.6% £150m 0.3% £10m 0.4% £20m 0.5% £30m 0.4% £10m 0.4% £10m 0.4% £10m 0.5% £10m 1.2% £70m
Total 5.8% £1380m 4.9% £80m 7.3% £330m 7.1% £360m 5.2% £120m 6.7% £130m 5.3% £80m 5.0% £70m 3.8% £210m
Female Claimants Fraud 1.6% £230m 1.7% £20m 1.8% £60m 1.9% £60m 1.6% £20m 1.3% £10m 2.4% £20m 0.8% £10m 1.0% £30m
Claimant Error 3.9% £570m 2.5% £30m 5.5% £180m 5.2% £160m 4.2% £50m 5.2% £50m 3.1% £20m 5.0% £30m 1.1% £30m
Official Error 0.6% £80m 0.4% £0m 0.4% £10m 0.6% £20m 0.6% £10m 0.5% £0m 0.4% £0m 0.4% £0m 0.9% £30m
Total 6.1% £880m 4.6% £60m 7.7% £260m 7.7% £240m 6.4% £80m 7.0% £70m 5.8% £40m 6.3% £40m 2.9% £90m
Male Claimants Fraud 1.2% £110m 1.2% £10m 1.4% £20m 2.0% £40m 0.7% £10m 0.9% £10m 0.5% £0m 1.0% £10m 1.0% £20m
Claimant Error 3.5% £330m 4.2% £20m 4.5% £60m 3.8% £70m 2.7% £30m 5.2% £50m 4.0% £30m 2.3% £20m 2.5% £60m
Official Error 0.7% £60m 0.1% £0m 0.4% £0m 0.4% £10m 0.3% £0m 0.4% £0m 0.4% £0m 0.5% £0m 1.6% £40m
Total 5.4% £500m 5.5% £30m 6.3% £80m 6.2% £120m 3.7% £40m 6.4% £60m 4.9% £40m 3.9% £30m 5.1% £120m
Table 11.5: Estimates of Fraud and Error Overpayments for Employment and Support Allowance
Employment and Support Allowance All Ages Under 25 25-34 35-44 45-49 50-54 55-59 60 and over
All Claimants Fraud 1.6% £170m 2.1% £20m 1.8% £30m 0.8% £20m 3.7% £60m 0.8% £10m 1.4% £20m 1.3% £10m
Claimant Error 0.8% £90m 0.9% £10m 0.9% £10m 0.7% £20m 0.7% £10m 0.7% £10m 0.9% £20m 0.9% £10m
Official Error 1.0% £100m 0.6% £0m 1.1% £20m 0.9% £20m 1.2% £20m 0.7% £10m 1.2% £20m 1.0% £10m
Total 3.4% £360m 3.5% £30m 3.8% £60m 2.4% £50m 5.7% £90m 2.2% £40m 3.5% £60m 3.2% £30m
Female Claimants Fraud 1.3% £60m 3.8% £10m 2.0% £10m 1.3% £10m 1.1% £10m 0.7% £10m 0.8% £10m 0.0% £0m
Claimant Error 0.6% £30m 0.2% £0m 0.4% £0m 0.4% £0m 0.8% £10m 0.9% £10m 0.8% £10m 0.4% £0m
Official Error 1.0% £50m 0.2% £0m 0.8% £10m 1.2% £10m 0.9% £10m 0.9% £10m 1.4% £10m 0.8% £0m
Total 2.9% £140m 4.2% £10m 3.3% £20m 2.9% £30m 2.8% £20m 2.4% £20m 3.0% £30m 1.2% £0m
Male Claimants Fraud 1.9% £110m 0.8% £0m 1.7% £10m 0.4% £0m 6.3% £50m 0.8% £10m 2.0% £20m 1.9% £10m
Claimant Error 1.0% £60m 1.4% £10m 1.3% £10m 1.0% £10m 0.6% £10m 0.6% £0m 1.1% £10m 1.1% £10m
Official Error 1.0% £50m 0.8% £0m 1.3% £10m 0.6% £10m 1.4% £10m 0.6% £10m 1.0% £10m 1.1% £10m
Total 3.9% £220m 3.0% £10m 4.2% £40m 2.0% £20m 8.4% £70m 2.0% £20m 4.0% £30m 4.1% £30m
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 Ages Under 25 25-34 35-44 45-49 50-64
All Claimants Fraud 0.2% £10m 0.2% £0m 0.4% £0m 0.0% £0m 0.0% £0m 0.1% £0m
Claimant Error 0.5% £20m 0.3% £0m 0.4% £0m 0.6% £10m 0.8% £0m 0.4% £0m
Official Error 0.3% £10m 0.2% £0m 0.1% £0m 0.3% £0m 0.4% £0m 0.7% £0m
Total 1.0% £40m 0.7% £10m 0.9% £10m 1.0% £10m 1.2% £0m 1.1% £10m
Female Claimants Fraud 0.2% £10m 0.2% £0m 0.4% £0m 0.0% £0m 0.0% £0m 0.2% £0m
Claimant Error 0.5% £10m 0.4% £0m 0.4% £0m 0.8% £10m 1.4% £0m 0.2% £0m
Official Error 0.2% £10m 0.2% £0m 0.0% £0m 0.0% £0m 0.5% £0m 0.6% £0m
Total 0.9% £30m 0.8% £10m 0.8% £10m 0.8% £10m 1.9% £0m 0.9% £0m
Male Claimants Fraud 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m
Claimant Error 0.4% £0m 0.0% £0m 0.7% £0m 0.2% £0m 0.0% £0m 0.6% £0m
Official Error 0.7% £10m 0.0% £0m 0.7% £0m 1.1% £0m 0.3% £0m 0.8% £0m
Total 1.1% £10m 0.0% £0m 1.3% £0m 1.3% £0m 0.3% £0m 1.3% £0m
Table 11.7: Estimates of Fraud and Error Underpayments for Jobseeker's Allowance
Jobseeker's Allowance All Ages Under 25 25-34 35-44 45-49 50-54 55-64
All Claimants Fraud 0.0% £0m 0.0% £0m 0.1% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m
Claimant Error 0.1% £0m 0.1% £0m 0.0% £0m 0.2% £0m 0.2% £0m 0.1% £0m 0.0% £0m
Official Error 0.3% £10m 0.1% £0m 0.6% £10m 0.1% £0m 0.2% £0m 0.2% £0m 0.2% £0m
Total 0.4% £20m 0.3% £0m 0.7% £10m 0.4% £0m 0.4% £0m 0.3% £0m 0.2% £0m
Female Claimants Fraud 0.0% £0m 0.0% £0m 0.2% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m
Claimant Error 0.1% £0m 0.0% £0m 0.0% £0m 0.2% £0m 0.3% £0m 0.1% £0m 0.0% £0m
Official Error 0.1% £0m 0.0% £0m 0.0% £0m 0.1% £0m 0.1% £0m 0.2% £0m 0.4% £0m
Total 0.2% £0m 0.0% £0m 0.2% £0m 0.3% £0m 0.4% £0m 0.2% £0m 0.4% £0m
Male Claimants Fraud 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m
Claimant Error 0.1% £0m 0.2% £0m 0.0% £0m 0.3% £0m 0.1% £0m 0.1% £0m 0.0% £0m
Official Error 0.4% £10m 0.2% £0m 0.9% £10m 0.2% £0m 0.3% £0m 0.2% £0m 0.0% £0m
Total 0.5% £10m 0.4% £0m 0.9% £10m 0.4% £0m 0.3% £0m 0.3% £0m 0.0% £0m
Table 11.8: Estimates of Fraud and Error Underpayments for Pension Credit
Pension Credit All Ages 60-64 65-69 70-74 75-79 80-84 85-89 90 and over
All Claimants Fraud 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m
Claimant Error 1.0% £70m 1.3% £20m 0.2% £0m 0.9% £10m 0.5% £10m 1.2% £10m 2.7% £20m 0.7% £0m
Official Error 1.2% £90m 1.6% £20m 1.0% £10m 0.9% £10m 0.9% £10m 1.5% £10m 1.5% £10m 1.4% £10m
Total 2.2% £160m 2.9% £40m 1.2% £10m 1.8% £20m 1.5% £20m 2.7% £20m 4.2% £30m 2.1% £10m
Female Claimants Fraud 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m
Claimant Error 1.1% £50m 5.0% £20m 0.3% £0m 0.5% £0m 0.6% £0m 1.0% £10m 1.9% £10m 0.6% £0m
Official Error 1.3% £50m 2.6% £10m 1.3% £10m 0.8% £10m 1.0% £10m 1.5% £10m 1.2% £10m 1.2% £10m
Total 2.4% £100m 7.6% £30m 1.5% £10m 1.3% £10m 1.6% £10m 2.6% £20m 3.1% £20m 1.8% £10m
Male Claimants Fraud 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m
Claimant Error 0.8% £30m 0.1% £0m 0.1% £0m 1.4% £10m 0.4% £0m 1.5% £0m 5.0% £10m 1.3% £0m
Official Error 1.1% £40m 1.2% £10m 0.6% £0m 1.1% £10m 0.8% £0m 1.4% £0m 2.2% £0m 2.0% £0m
Total 2.0% £60m 1.4% £10m 0.7% £0m 2.5% £10m 1.2% £0m 3.0% £10m 7.2% £10m 3.3% £0m
Table 11.9: Estimates of Fraud and Error Underpayments for Housing Benefit
Housing Benefit All Ages Under 25 25-34 35-44 45-49 50-54 55-59 60-64 65 and over
All Claimants Fraud 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m
Claimant Error 1.2% £290m 0.9% £10m 1.8% £80m 1.3% £70m 1.5% £40m 1.7% £30m 1.3% £20m 0.8% £10m 0.5% £30m
Official Error 0.3% £80m 0.3% £10m 0.4% £20m 0.4% £20m 0.5% £10m 0.4% £10m 0.4% £10m 0.2% £0m 0.2% £10m
Total 1.5% £370m 1.2% £20m 2.2% £100m 1.8% £90m 2.0% £50m 2.1% £40m 1.7% £20m 0.9% £10m 0.8% £40m
Female Claimants Fraud 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m
Claimant Error 1.1% £170m 0.8% £10m 1.9% £60m 1.2% £40m 1.4% £20m 1.2% £10m 1.2% £10m 0.3% £0m 0.3% £10m
Official Error 0.3% £40m 0.3% £0m 0.4% £10m 0.2% £10m 0.4% £10m 0.2% £0m 0.3% £0m 0.1% £0m 0.2% £10m
Total 1.4% £210m 1.1% £10m 2.3% £80m 1.5% £50m 1.9% £20m 1.5% £10m 1.5% £10m 0.4% £10m 0.5% £20m
Male Claimants Fraud 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m
Claimant Error 1.3% £120m 0.9% £0m 1.5% £20m 1.4% £30m 1.7% £20m 2.2% £20m 1.5% £10m 0.8% £10m 0.8% £20m
Official Error 0.4% £40m 0.4% £0m 0.4% £0m 0.8% £10m 0.5% £10m 0.5% £0m 0.5% £0m 0.2% £0m 0.2% £10m
Total 1.8% £160m 1.4% £10m 1.9% £20m 2.2% £40m 2.2% £20m 2.7% £20m 1.9% £10m 1.0% £10m 1.1% £20m
Table 11.10: Estimates of Fraud and Error Underpayments for Employment and Support Allowance
Employment and Support Allowance All Ages Under 25 25-34 35-44 45-49 50-54 55-59 60 and over
All Claimants Fraud 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m
Claimant Error 0.3% £30m 0.6% £0m 0.3% £0m 0.2% £0m 0.6% £10m 0.3% £10m 0.0% £0m 0.1% £0m
Official Error 1.3% £130m 1.6% £10m 1.3% £20m 1.4% £30m 1.7% £20m 1.8% £30m 0.5% £10m 1.1% £10m
Total 1.5% £160m 2.1% £20m 1.6% £20m 1.6% £30m 2.3% £30m 2.1% £30m 0.6% £10m 1.2% £10m
Female Claimants Fraud 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m
Claimant Error 0.3% £10m 0.3% £0m 0.6% £0m 0.2% £0m 0.5% £0m 0.3% £0m 0.0% £0m 0.1% £0m
Official Error 1.3% £60m 1.8% £10m 2.2% £10m 1.4% £10m 1.8% £10m 1.0% £10m 0.5% £10m 1.1% £0m
Total 1.6% £70m 2.0% £10m 2.7% £20m 1.6% £10m 2.3% £20m 1.3% £10m 0.5% £10m 1.2% £0m
Male Claimants Fraud 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m 0.0% £0m
Claimant Error 0.3% £20m 0.8% £0m 0.0% £0m 0.2% £0m 0.7% £10m 0.4% £0m 0.1% £0m 0.1% £0m
Official Error 1.2% £70m 1.4% £10m 0.7% £10m 1.4% £10m 1.5% £10m 2.6% £20m 0.6% £10m 1.1% £10m
Total 1.5% £90m 2.2% £10m 0.7% £10m 1.6% £20m 2.2% £20m 3.0% £20m 0.6% £10m 1.2% £10m
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.