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Data Provider: Welsh Government Experimental Statistics Claimant count by Welsh local area, variable and month (not seasonally adjusted) - EXPERIMENTAL STATISTICS
Gender 1[Filter]
Area Code[Filter]
[Collapse]Area 1
Area 2
[Collapse]RateThe number of people claiming benefits as a percentage of the resident population aged 16-64.[Collapse]LevelThe number of people claiming Jobseekers allowance (JSA).
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[Expand]United Kingdom2. The data item is provisional.3.6931,1401,183,8952,565,3201,957,735(p) The data item is provisional.1,508,395
[Collapse]Wales2. The data item is provisional.3.244,69057,400110,71581,350(p) The data item is provisional.61,490
Wales[Collapse]North Wales2. The data item is provisional.3.09,41011,80023,44016,915(p) The data item is provisional.12,305
North WalesIsle of Anglesey2. The data item is provisional.3.18351,1202,3551,700(p) The data item is provisional.1,250
Gwynedd1. The data item is provisional.2.41,1301,5903,7302,535(p) The data item is provisional.1,840
Conwy2. The data item is provisional.3.31,5002,0504,1902,980(p) The data item is provisional.2,210
Denbighshire2. The data item is provisional.3.51,4301,8553,5002,570(p) The data item is provisional.1,975
Flintshire2. The data item is provisional.2.82,2652,6004,9203,610(p) The data item is provisional.2,655
Wrexham2. The data item is provisional.2.92,2452,5854,7453,525(p) The data item is provisional.2,375
[Collapse]Mid Wales0. The data item is provisional.2.31,0752,0555,1653,510(p) The data item is provisional.2,760
Mid WalesPowys0. The data item is provisional.2.26801,2853,3652,190(p) The data item is provisional.1,690
Ceredigion0. The data item is provisional.2.53957701,8001,320(p) The data item is provisional.1,075
[Collapse]South West Wales2. The data item is provisional.3.111,03513,04523,48517,295(p) The data item is provisional.13,175
South West WalesPembrokeshire1. The data item is provisional.3.01,3151,9203,9452,815(p) The data item is provisional.2,160
Carmarthenshire1. The data item is provisional.2.81,9502,9505,7954,145(p) The data item is provisional.3,155
Swansea3. The data item is provisional.3.34,8855,2308,7256,725(p) The data item is provisional.5,195
Neath Port Talbot3. The data item is provisional.3.02,8852,9455,0203,610(p) The data item is provisional.2,665
[Collapse]South East Wales2. The data item is provisional.3.423,17530,50058,62543,625(p) The data item is provisional.33,250
South East WalesBridgend2. The data item is provisional.2.91,9702,5754,9703,540(p) The data item is provisional.2,660
Vale of Glamorgan1. The data item is provisional.2.81,1052,0404,1852,915(p) The data item is provisional.2,320
Rhondda Cynon Taf2. The data item is provisional.3.13,0354,6059,1856,480(p) The data item is provisional.4,680
Merthyr Tydfil2. The data item is provisional.3.79901,4652,4301,750(p) The data item is provisional.1,375
Caerphilly2. The data item is provisional.3.32,4203,6106,5504,950(p) The data item is provisional.3,765
Blaenau Gwent2. The data item is provisional.4.01,1701,6602,8802,245(p) The data item is provisional.1,750
Torfaen3. The data item is provisional.3.51,9801,9553,4752,685(p) The data item is provisional.1,995
Monmouthshire1. The data item is provisional.2.17509502,1551,610(p) The data item is provisional.1,185
Newport3. The data item is provisional.4.33,4903,7957,2005,860(p) The data item is provisional.4,250
Cardiff2. The data item is provisional.3.76,2657,84515,60011,585(p) The data item is provisional.9,275



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

Last update

17 November 2022 17 November 2022

Next update

15 December 2022

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 2022

Revisions information

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