This report presents the first publication of new experimental1 employment statistics that have been produced using data already held by the Government of Jersey for administrative purposes. The publication of these experimental statistics is designed to invite feedback from users on the results and the methodology whilst these continue to be developed.
The report uses linked data from the Income Tax Instalment Scheme (ITIS), Social Security contributions and manpower returns. By combining multiple data sources in this way, we are able to produce a more comprehensive picture of the Jersey labour market than is available in our current labour market reports (which uses manpower returns as its single data source). Once fully developed it is the intention that this new methodology will replace the existing labour market reporting.
The new methodology provides improvements in the following key areas:
- Where employees are working for an employer, they are only included in this analysis if they had earnings within the respective month. This aims to ensure that temporarily inactive jobs are not included, and the measures are therefore more comparable with other jurisdictions.
- Jobs for professional domestic service providers serving no more than two households (generally households employing their own domestic staff) are now included, but are not included in the existing labour market reporting as such undertakings are exempt from submitting manpower returns.
In addition, this methodology allows analysis at an individual person level. Results are therefore presented in two different ways:
- jobs; people are counted more than once if they are employed by more than one undertaking
- employment; this is a measure of people, where a person with more than one job is only counted once based on the information relating to their main job
This second measure allows for linked demographic information to be used and this enables breakdowns by:
- industrial sector
- age
- sex
- self-declared nationality
- residential status
- contract type
Additional measures, such as changes over time and the proportion of people with more than one job, can also be calculated.
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