Quarterly Labour Force Survey, July - September 2018: Teaching Dataset

DOI

Abstract copyright UK Data Service and data collection copyright owner.

The Quarterly Labour Force Survey July - September 2018: Teaching Dataset is based on the Quarterly Labour Force Survey, July - September 2018 (QLFS JS18; available from the UK Data Archive under SN 8407) and constitutes real data which are used by the government and are behind many headlines. The teaching dataset contains fewer variables and has been subjected to certain simplifications and additions for the purpose of learning and teaching. The main differences are: the number of variables has been reduced;extra variables (based on variables from the original QLFS JS18 dataset) have been added, including a weight for which mean=1;a reduced codebook is provided. Further information is available in the study documentation which includes a dataset user guide.

Main Topics:

Socio-demographics, employment, housing tenure, education, health.

Simple random sample

Compilation/Synthesis

Identifier
DOI https://doi.org/10.5255/UKDA-SN-8499-1
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=c0b9ac1f481903944bed5bed8e5e022d91e9b1fef7242455d909efe4ab774211
Provenance
Creator Office for National Statistics; University of Manchester, Cathie Marsh Institute for Social Research (CMIST), UK Data Service
Publisher UK Data Service
Publication Year 2019
Funding Reference Economic and Social Research Council
Rights <a href="https://www.nationalarchives.gov.uk/information-management/re-using-public-sector-information/uk-government-licensing-framework/crown-copyright/" target="_blank">© Crown copyright</a>; <p>The Data Collection is available to UK Data Service registered users subject to the <a href="https://ukdataservice.ac.uk/app/uploads/cd137-enduserlicence.pdf" target="_blank">End User Licence Agreement</a>.</p><p>Commercial use of the data requires approval from the data owner or their nominee. The UK Data Service will contact you.</p>
OpenAccess true
Representation
Resource Type Numeric
Discipline Economics; History; Humanities; Social and Behavioural Sciences
Spatial Coverage United Kingdom