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Social Security Benefits: Greater London

Department for Work and Pensions written question – answered on 30th March 2017.

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Photo of Karen Buck Karen Buck Labour, Westminster North

To ask the Secretary of State for Work and Pensions, what proportion of claimants affected by the lower benefit cap in each London borough are in receipt of (a) jobseeker's allowance, (b) employment and support allowance, (c) income support and (d) another benefit.

Photo of Karen Buck Karen Buck Labour, Westminster North

To ask the Secretary of State for Work and Pensions, how many claimants in each London borough were affected by the lower benefit cap on 31 January 2017.

Photo of Caroline Nokes Caroline Nokes The Parliamentary Under-Secretary of State for Work and Pensions

Estimated breakdown of households affected by the lower cap levels by benefit receipt, 2016/17, can be found in the table below;

Number of capped households 16/17

Employment and Support Allowance

Income Support

Jobseeker's Allowance

Other

Total (Housing Benefit)

Barking and Dagenham

500

14%

48%

23%

15%

100%

Barnet

800

28%

32%

25%

15%

100%

Bexley

300

13%

57%

14%

15%

100%

Brent

1,500

20%

27%

39%

14%

100%

Bromley

200

15%

56%

20%

8%

100%

Camden

600

36%

26%

30%

9%

100%

City of London

-

27%

47%

13%

13%

100%

Croydon

700

18%

43%

21%

17%

100%

Ealing

1,300

21%

36%

28%

15%

100%

Enfield

1,200

19%

52%

14%

15%

100%

Greenwich

400

12%

56%

19%

13%

100%

Hackney

1,200

30%

29%

30%

11%

100%

Hammersmith and Fulham

500

29%

34%

27%

10%

100%

Haringey

800

23%

45%

21%

11%

100%

Harrow

300

14%

40%

19%

27%

100%

Havering

300

14%

60%

13%

13%

100%

Hillingdon

500

15%

50%

20%

16%

100%

Hounslow

500

18%

46%

20%

16%

100%

Islington

600

31%

34%

29%

7%

100%

Kensington and Chelsea

500

31%

27%

27%

15%

100%

Kingston upon Thames

200

28%

35%

23%

13%

100%

Lambeth

600

17%

51%

20%

12%

100%

Lewisham

600

16%

53%

17%

14%

100%

Merton

200

20%

34%

28%

18%

100%

Newham

800

21%

39%

23%

17%

100%

Redbridge

400

16%

39%

20%

25%

100%

Richmond upon Thames

200

30%

34%

25%

11%

100%

Southwark

500

25%

52%

15%

8%

100%

Sutton

100

22%

50%

16%

13%

100%

Tower Hamlets

900

25%

36%

27%

12%

100%

Waltham Forest

600

16%

40%

31%

13%

100%

Wandsworth

600

22%

34%

30%

15%

100%

Westminster

800

34%

25%

28%

13%

100%

These estimates focus on the benefit cap continuing to be applied under Housing Benefit and therefore all households affected will be in receipt of Housing Benefit. The benefit cap will increasingly be applied under Universal Credit as it gradually rolls out. Universal Credit will replace Income Support, income-based Jobseeker's Allowance, income-based Employment and Support Allowance and Housing Benefit, along with Child Tax Credit and Working Tax Credit.

Notes:

  1. Figures may not sum due to rounding.
  2. Figures have been rounded to the nearest 100.
  3. Estimates assume no behavioural responses - any behavioural responses to the lower cap, such as claimants moving into employment, would cause the number of households affected to reduce and may change the proportional split.
  4. The methodology used to estimate the households affected by the cap is consistent with that described in the latest impact assessment published here: https://www.gov.uk/government/publications/welfare-reform-and-work-act-impact-assessment-for-the-benefit-cap

Actual data for number of capped households in each London borough at January 2017 is not yet available: The information will be published on 4th May 2017, as part of the next scheduled Benefit Cap Official Statistics release.

Benefit Cap Official Statistics can be found at https://www.gov.uk/government/collections/benefit-cap-statistics.

Note: Each Local Authority has a schedule to extract and return their data to DWP over a four week rolling period, which does not necessarily correspond to a calendar month. This means that the statistics do not show the number of capped cases on a particular date but over a monthly cycle, so published statistics will show data for January 2017.

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