Resident based claimant count by year and area (not seasonally adjusted) EXPERIMENTAL STATISTICS
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United KingdomMetadata
- High level information
- Weblinks
- Summary information
- Keywords
- Statistical quality information
- Open Data
Title
Residence based claimant count by area (not seasonally adjusted)Last update
1 February 2024Next update
February 2025Publishing organisation
Welsh GovernmentSource 1
Jobcentre Plus Administrative System, Department for Work and PensionsContact email
economic.stats@gov.walesDesignation
Experimental statisticsLowest level of geographical disaggregation
Local authoritiesGeographical coverage
WalesLanguages covered
English and WelshData 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 http://www.nationalarchives.gov.uk/doc/open-government-licenceWeblinks
www.nomisweb.co.uk;http://gov.wales/statistics-and-research/economic-labour-market-statistics-guide-data-sources-useful-links/
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 annual averages and are NOT adjusted to take account of past discontinuities in the data, although these are minor since 1996. Rates given in this dataset are expressed as percentages of the resident population aged 16-64.Frequency of publication
AnnualData reference periods
1984 to 2023Keywords
Claimant count; UnemploymentStatistical quality
There are two standard measures of unemployment used in official UK statistics the UK, namely the 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 unemployment-related benefits. 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.
