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UK to Reassess Carer’s Allowance Debts for 200,000 Claimants
The review is expected to cancel or reduce debts for about 25,000 carers after unclear earnings rules caused widespread overpayments.
- The Department for Work and Pensions announced a sweeping review of 200,000 cases involving historic overpayments to unpaid carers. The Government estimates approximately 25,000 carers will have debts cancelled or reduced due to "confusing" earnings guidance.
- An independent review led by former charity boss Liz Sayce identified "systemic flaws" preventing accurate earnings reporting between 2015 and summer 2025. Ministers accepted 38 of 40 recommendations, addressing the so-called "cliff edge" that penalized carers for earning even pennies over limits.
- Many carers felt "treated as criminals, with resulting feelings of fear and shame," according to the Sayce Review. Kirsty McHugh, Carers Trust chief executive, said the reassessment would have a "huge impact" on those "penalised for no fault of their own."
- Pensions Secretary Pat McFadden said the Government "inherited a system that left unpaid carers building up debt through no fault of their own." Officials have already implemented approximately half of the promised reforms to rebuild trust.
- As the benefit marks its 50th anniversary this week, the Government is exploring further reform options. Helen Walker, Carers UK chief executive, said additional reform is "sorely needed" to provide carers with the redress they deserve.
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19 Articles
19 Articles
Reposted by
Wales Online
DWP to cut or cancel debts of 25,000 people as 200,000 cases reviewed
People were penalised if they breached the threshold by a few pennies'
·Cambridge, United Kingdom
Read Full ArticleReposted by
Nation.Cymru
Estimated 25,000 unpaid carers to have debts cut or cancelled
People being penalised for going over their earnings limit for carer’s allowance has been branded a "scandal" by campaigners
·Newcastle upon Tyne, United Kingdom
Read Full ArticleCoverage Details
Total News Sources19
Leaning Left5Leaning Right2Center4Last UpdatedBias Distribution46% Left
Bias Distribution
- 46% of the sources lean Left
46% Left
L 46%
C 36%
R 18%
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