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Data Provider: Welsh Government National Statistics 20. Population aged 16-64 on key benefits (SOC)
Area code[Filter]
[Collapse]Client GroupStatistical Group typology is to present each person by the main reasons why they are claiming benefit. Each client is classified just once. [Filtered]
Client Group 1[Filter]
DateAnnual averages or quarterly data which relate to a single point in time the reference date and provide a snapshot of claims at that point. The reference date is the last day of the month of the period in question. Data are not seasonally adjusted so any comparisons should be made year on year. [Filtered]
[Collapse]Area 1
Area 2
Click here to sortFeb 2015Click here to sortMay 2015Click here to sortAug 2015Click here to sortNov 2015Click here to sortFeb 2016Click here to sortMay 2016Click here to sortAug 2016Click here to sortNov 2016
[Collapse]Great Britain9.
Great Britain[Collapse]England9.
EnglandNorth East13.312.912.812.712.612.111.811.6
North West11.611.210.910.610.610.410.310.1
Yorkshire and the Humber11.010.610.410.
East Midlands9.
West Midlands10.710.410.
South East6.
South West8.



Benefit claimants by GB country/English region and statistical group

Last update

May 2017 May 2017

Next update

No longer updated

Publishing organisation

Welsh Government

Contact email


National Statistics

Lowest level of geographical disaggregation

GB regions

Geographical coverage

GB regions

Languages covered

English and Welsh

Data licensing

You may use and re-use this data free of charge in any format or medium, under the terms of the Open Government License - see

General description

This dataset provides a quarterly snapshot of benefit claimants at particular points in time and are based on 100% of claimants so is not subject to any sampling error.

Data collection and calculation

Data are for the number of people aged 16 to 64 who are claiming one or more key DWP benefits and the combination of benefits they are claiming.

The aim of the Statistical Group typology is to present each person by the main reasons why they are claiming benefit. Each client is classified just once. Benefits are arranged hierarchically and claimants are assigned to the top most benefit which they receive. Thus a person who is a lone parent and receives Incapacity Benefit would be classified as incapacity benefits.
For this reason the group lone parent, for example, will not contain all lone parents claiming Income Support. Some will be included in the incapacity benefits group instead.
Data are not seasonally adjusted so any comparisons should be made year on year.

Frequency of publication


Data reference periods

1999 to 2016

Rounding applied

Data are rounded to the nearest 10.

Revisions information

Although DWP do perform extensive quality assurance on raw data and statistical tables prior to publication, occasionally an error slips through. In the rare case when an error occurs, we thoroughly investigate how it occurred and strengthen our processes where necessary. Any erroneous statistics are removed and revised as soon as possible. Great care is taken to ensure all users are informed and are fully aware of the error and any implications. For further information see the DWP Policy Statement on Revisions:

From August 2017, the Department for Work and Pensions (DWP) are no longer publishing working age benefits claimants by client group. The full DWP statement is available at We are in the process of identifying a new appropriate source for this data.



Statistical quality

Difficulties exist in the ability of the WPLS data to identify flows claims of short duration. These short duration cases affect the numbers starting a new claim (on-flow) or ending a benefit claim (off-flow) with reference to a certain time period. Flows are currently reported for Bereavement Benefit/Widows Benefit (6 weekly scan), Incapacity Benefit/Severe Disability Allowance (6 weekly scan), Income Support (weekly scan), Pension Credit (weekly scan), State Pension (6 weekly scan) and Employment and Support Allowance (2 weekly scan). Claims which both start and end between two consecutive extract dates will not be detected. Previously for the 5% sample data, because there is a 3 month gap between extracts, some claims with a duration from one day up to almost 3 months were missed and so the use of WPLS data offers much improvement in this respect.