Benefit Fraud

11. What steps his Department is taking to tackle benefit fraud.

My hon. Friend will know that we are investing £900 million to ensure that we prevent a total of £2.4 billion of fraud and error by 2024-25. We launched our fraud plan last May, which is already delivering results.

I would like to thank publicly for all those who have congratulated me on my honour in the King’s honours list. Thank you for your kind words in appreciation, Mr Speaker.

My right hon. Friend is setting out a plan to deal with benefit fraud in its entirety. My private Member’s Bill—the Supported Housing (Regulatory Oversight) Bill—had its Third Reading in the House of Lords on Friday. Of course, supported housing has unlimited housing benefit for those who claim it. Unfortunately, there are numerous rogue landlords who exploit vulnerable people and the housing benefit system. What action can he take to ensure that we rein in those rogue landlords and prevent vulnerable people from being exploited?

My hon. Friend is quite right, and I wrote to him to congratulate him on his well deserved CBE. Part of the answer to his question lies in his private Member’s Bill, which we see as an important tool to allow us to tighten up the regulations and requirements as expressed through local authorities to ensure that those who are abusing the system—it is not everyone—are dealt with appropriately.

The National Audit Office found that benefit fraud and error was unacceptably high, totalling £8.6 billion in 2021-22. What actions will the Secretary of State take to reduce fraud? Importantly, how will he ensure that the clawing back of DWP errors—those that are not the fault of the claimant—is carefully and fairly considered so that that does not put the claimant further into poverty?

The hon. Lady raises an important point. The Government’s record under my stewardship at the DWP is a good one. In fact, since the fraud plan was published last May, fraud across the benefit system has reduced by some 10%, and across universal credit there has been a 13% drop. We expect to see those figures increasing through time. We are doing that through targeted case reviews—going through cases and looking for fraud and error—and I have another 1,000 people being recruited for that purpose. We are also using artificial intelligence, data analytics and machine learning to ensure that we catch up with the more sophisticated attacks on our system. There is evidence that we are making good headway.