Economic Inactivity, Health Conditions, Work-Limiting Health Conditions and EU and Non-EU Populations in NUTS3 Regions of the UK, 2018-2021

DOI

This dataset provides counts of persons in the United Kingdom for 2018 and 2021 aged 16-64 years in the following categories: i) economically inactive (currently not working and either not searching or not available for work); ii) have a long-term health condition; iii) have a long-term health condition that limits the kind or amount of work they can do; iv) were born in the EU (excluding Ireland); and v) were born outside the EU. These categories are pertinent in understanding the impact of Brexit and the COVID-19 pandemic on economic inactivity and labour shortages, which rose sharply over the period covered by the dataset. The dataset is novel because it provides a geographical disaggregation for 179 NUTS3 regions across the UK. The dataset allows the geographically uneven impacts of Brexit and the COVID-19 pandemic on local labour markets to be investigated.The Coronavirus pandemic has led to increases in retirement and long-term sickness, and Brexit and the pandemic together have led to a reduction in the number of EU workers in the UK. Together, these changes amount to a large reduction in the size of the workforce, which is the primary reason for difficulties faced by employers in most sectors recruiting staff since the ending of 'lockdown', as well as issue of pay and conditions and their geographical and social inequalities. Little is known about the uneven geography across the UK in these sources of reductions in the workforce in driving the sharpest rises in job vacancies in rural areas and some London boroughs, precisely the areas most dependent on foreign labour. This information is important in designing policies to effectively address "Levelling Up" the economic fortunes of different parts of the UK, with some places short of workers, at least in the short term; and others short of jobs, in particular well-paid jobs. The UK Government has promised a transformation to a high-wage economy following Brexit, predicated on the view that reduced labour supply will stimulate investment and innovation to raise productivity, and that the UK has become locked-in to a low-cost economic model dependent on cheap international labour. The research will produce new datasets as the latest evidence becomes available, including the 2021 Census of Population, analysis and insights to assess this claim and its geography, by examining links between local changes to local labour demand, supply, wages, productivity and unemployment. More generally, the research will better understand the impact of Brexit and the pandemic on local labour markets and local economies in different parts of the UK, to inform planning for future economic resilience to 'shocks', and to assess the effectiveness of the UK new immigration policy in meeting labour demand and skills shortages in all parts of the UK.

Data are based on counts of persons aged 16-64 years computed for 179 NUTS3 regions across the United Kingdom from the Office for National Statistics' Annual Population Survey (APS) Three-Year Pooled Datasets for January 2017 - December 2019 and for January 2020 - December 2022. The APS is a random sample of residential addresses in the UK. Information is collected about all individuals who live together in a household at an address.

Identifier
DOI https://doi.org/10.5255/UKDA-SN-857426
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=e08d2c3bd55b9ccdbfa6dd0b8bb8db46cf6860fb8e0e2d3eb90bb480474e4c58
Provenance
Creator Houston, D, University of Birmingham; Kollydas, K, University of Birmingham
Publisher UK Data Service
Publication Year 2024
Funding Reference ESRC
Rights Donald Houston, University of Birmingham; The Data Collection is available to any user without the requirement for registration for download/access.
OpenAccess true
Representation
Resource Type Numeric
Discipline Social Sciences
Spatial Coverage United Kingdom; United Kingdom