This data has been taken from LGInform at http://lginform.local.gov.uk/ data reference ID 5470
The figures show the numbers of people claiming unemployment benefits aged between 25-49 and living in Plymouth. The data is monthly and shows data ranging from Jan 2013 to May 2017.
Number of people claiming unemployment related benefits, aged 25-49 - This is the total number of people aged 24-49 claiming unemployment related benefits (Claimant Count).
The Claimant Count is a measure of the number of people claiming benefits principally for the reason of being unemployed, based on administrative data from the benefits system.
From April 2015, the Claimant Count includes all Universal Credit claimants who are required to seek work and be available for work, as well as all Jobseeker's Allowance (JSA) claimants, between May 2013 and March 2015, the Claimant Count includes all out of work Universal Credit claimants as well as all JSA claimants prior to this the Claimant Count is a count of the number of people claiming JSA.
The Claimant Count includes people who claim unemployment related benefits but who do not receive payment. For example some claimants will have had their benefits stopped for a limited period of time by Jobcentre Plus. Some people claim JSA in order to receive National Insurance Credits.
The Claimant Count does not attempt to measure unemployment, which is a concept defined by the International Labour Organisation (ILO) as all those who are out of work, actively seeking work and available to start work.
However, since the people claiming benefits are generally a particular subset of the unemployed, the Claimant Count can provide a useful indication of how unemployment is likely to vary between areas and over time.
The Claimant Count estimates provide the best available estimates of the number of people claiming unemployment related benefits in the UK.
Source name: Nomis
Collection name: Claimant county by sex and age
Polarity: No polarity
Polarity is how sentiment is measured "Sentiment is usually considered to have "poles" positive and negative these are often translated into "good" and "bad" sentiment analysis is considered useful to tell us what is good and bad in our information stream
