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As the demand increases for statistics and data to measure the impact of the COVID-19 pandemic, we have had to change our data gathering and release practices, focussing efforts on priority analysis and statistics.

Data Provider: Welsh Government National Statistics Out-of-work benefit claimants by Welsh local authority, measure and year
Area Code[Filter]
[Collapse]Statistical Group[Filtered]
Statistical Group 1[Filter]
[Collapse]Area 1
Area 2
Click here to sort2016Click here to sort2015Click here to sort2014Click here to sort2013Click here to sort2012Click here to sort2016Click here to sort2015Click here to sort2014Click here to sort2013Click here to sort2012
Wales[Collapse]West Wales and the ValleysIsle of Anglesey4,3654,7034,9385,4755,72510.711.512.013.213.7
Neath Port Talbot13,40814,13514,96315,67816,61815.316.117.017.818.8
Rhondda, Cynon, Taff22,36323,79525,29027,19829,21315.
Merthyr Tydfil5,8906,4136,9487,5108,07515.717.118.519.921.4
Blaenau Gwent7,3307,9688,4939,27310,03816.718.219.320.922.6
[Collapse]East WalesFlintshire7,6488,1638,9239,86010,5988.18.69.410.311.1
The Vale of Glamorgan7,5587,8288,2038,7289,4509.710.010.511.112.0


Benefit claimants by Welsh local authority and statistical group

Last update
19 May 2017 19 May 2017

Next update
No longer updated

Publishing organisation
Welsh Government

Source 1
Jobcentre Plus Administrative System, Department for Work and Pensions

Contact email

National Statistics

Lowest level of geographical disaggregation
Local authorities

Geographical coverage

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.