Unemployment Claimant Count

Claimant Count is the proportion of adult residents aged 16-64 claiming either Jobseekers Allowance (JSA) or Universal Credit for reasons of unemployment. The claimant count is a subset of unemployment meaning that unemployment rates are higher than the claimant count because some people will be unemployed but won't be claiming benefits.
Buckinghamshire has a claimant count of 2.8% (April, 2022), meaning that 2.8% of adult residents claimed unemployment benefits. This proportion is lower than the South East and lower than England. The South East region has a claimant count of 3.1%, while England has a claimant count of 4.0%.

 

Please note, these figures are published by the government on a monthly basis, but the data featured here is correct as of April 2022.

Percentage of 16-64 year olds claiming Unemployment Benefits in Buckinghamshire

(April 2022)

 2.8%

Unemployment Claimant Count

Percentage of 16-64 years old claiming Unemployment benefits in Buckinghamshire, the South East and England (April 2022)

No Data Found

Looking within Buckinghamshire, the claimant count is highest in the Booker, Cressex and Castlefield ward with 8.1% of adult residents claiming unemployment benefits. Ridgeway East is the ward in Buckinghamshire with the lowest unemployment claimant count, with just 1.2% of residents claiming there.

For more information about jobs and skills, visit Buckinghamshire’s Economic Intelligence Observatory

Unemployment Claimant Count

Percentage of 16-64 years old claiming Unemployment Benefits in Buckinghamshire by Ward Area (April 2022)

No Data Found

The data is produced by the Department for Work and Pensions (DWP), and replaced previous analysis which took the number of people claiming Jobseeker’s Allowance (JSA) as the headline indicator for the number of people claiming unemployment benefits. 

JSA is payable to people under pensionable age who are out of work and available for, and actively seeking, work of at least 40 hours a week. However, Universal Credit is also paid to some people who are out-of-work, and who may not be receiving JSA, so combining the two datasets provides a more reliable picture.

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