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Data Provider: Welsh Government Experimental Statistics Claimant count by Welsh local area, variable and month (not seasonally adjusted) - EXPERIMENTAL STATISTICS
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[Expand]United Kingdom898,865756,505764,155793,380(p) 948,1102. 2.3
[Collapse]Wales49,50543,28541,39037,585(p) 45,4652. 2.4
Wales[Collapse]North WalesIsle of Anglesey1,2301,2501,120915(p) 8403. 2.1
Gwynedd1,4651,3751,3051,140(p) 1,1402. 1.5
Conwy1,5801,4051,4101,185(p) 1,5202. 2.3
Denbighshire1,3101,2251,115945(p) 1,4552. 2.6
Flintshire1,8201,5301,5401,705(p) 2,3551. 2.5
Wrexham2,1601,7301,5701,225(p) 2,3102. 2.8
[Collapse]Mid WalesPowys1,035825795685(p) 6851. 0.9
Ceredigion575515510460(p) 4051. 0.9
[Collapse]South West WalesPembrokeshire1,5051,5701,5351,360(p) 1,3202. 1.8
Carmarthenshire2,1202,0352,1251,890(p) 1,9651. 1.8
Swansea3,6653,2653,4153,325(p) 5,0252. 3.2
Neath Port Talbot2,2202,1002,1251,795(p) 2,9552. 3.4
[Collapse]South East WalesBridgend2,0251,8851,9201,715(p) 2,0002. 2.2
Vale of Glamorgan1,7051,5151,4051,280(p) 1,1152. 1.4
Rhondda Cynon Taf4,3503,7853,4653,220(p) 3,0452. 2.0
Merthyr Tydfil1,2709901,0201,055(p) 1,0003. 2.7
Caerphilly3,8853,7203,2002,955(p) 2,4153. 2.2
Blaenau Gwent2,0401,7151,5951,290(p) 1,1754. 2.7
Torfaen1,6851,5651,2601,405(p) 2,0453. 3.6
Monmouthshire810610695540(p) 7501. 1.4
Newport3,7802,9002,7852,530(p) 3,5654. 3.8
Cardiff7,2655,7805,4754,960(p) 6,3803. 2.6


Claimant count monthly data by Welsh local authority residence based rate (not seasonally adjusted) - EXPERIMENTAL STATISTICS

Last update
15 November 2018 15 November 2018

Next update
13 December 2018

Publishing organisation
Welsh Government

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

Contact email

Experimental 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 experimental series counts the number of people claiming Jobseeker's Allowance plus those who claim Universal Credit who are out of work and replaces the number of people claiming Jobseeker's Allowance as the headline indicator of the number of people claiming benefits principally for the reason of being unemployed.

Data collection and calculation
The data are published monthly and are NOT seasonally adjusted. Rates given in this dataset are expressed as percentages of resident population aged 16-64 estimates.

Frequency of publication

Data reference periods
1999 to 2018

Revisions information
In May 2017, the Labour Force Survey data has been revised back to 2012, due to taking on board the latest population estimates (20145 and a review of the seasonal adjustment process.

In November 2016 there were revisions to the Claimant Count back to December 2014 due to improved estimates of Universal Credit claimants from the Department for Work and Pensions

Statistical quality
There are two standard measures of unemployment used in official UK statistics the UK, namely the experimental claimant count and the International Labour Organisation (ILO) unemployment measure. The measures are different and are each subject to advantages and disadvantages.
The former is a count of all persons claiming jobseeker’s allowance and out of work universal credit claimants. As such it is not subject to sampling variability and can therefore be disaggregated to very high levels of detail. However, it excludes those who are unemployed who are not eligible to claim (for example those out of work but whose partner works), and those who do not wish to claim.
The ILO measure, which is a count of those who are out of work and want a job, have actively sought work in the last 4 weeks and are available to start work in the next two weeks; plus those who are out of work, have found a job and are waiting to start in the next 2 weeks, is a more encompassing measure of unemployment. However, as the data come from a survey, the results are sample-based estimates and therefore subject to differing degrees of sampling variability, i.e. the true value for any measure lies in a differing range about the estimated value. This range or sampling variability increases as the detail in the data increases, for example local authority data are subject to higher variability than Wales data.
Please see the weblink to the data sources guide for further information.

Claimant count; Unemployment