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DDI2.5 XML CODEBOOK RECORD FOR STUDY NUMBER 7909 Labour Force Survey Five-Quarter Longitudinal Dataset, July 2010 - March 2023: Secure Access 790910.5255/UKDA-SN-7909-15 Office for National Statistics, Social Survey Division <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>. The use of these data is subject to the <a href="https://ukdataservice.ac.uk/app/uploads/cd137-enduserlicence.pdf" target="_blank">UK Data Service End User Licence Agreement</a>. Additional restrictions may also apply. Northern Ireland. Department of Enterprise, Trade and InvestmentOffice for National Statistics UK Data Service 28 April 2016 EMPLOYMENTSUPERVISORY STATUSRESIDENTIAL MOBILITYECONOMIC ACTIVITYJOB SEEKER'S ALLOWANCESPEECH IMPAIRMENTSOCCUPATIONSDEGREESTRAININGEMPLOYEESPART-TIME EMPLOYMENTJOB CHANGINGHOUSING TENUREFULL-TIME EMPLOYMENTSUBSIDIARY EMPLOYMENTCHILD BENEFITSTRADE UNION MEMBERSHIPCHILDRENAGEOVERTIMEEMPLOYMENT SERVICESSOCIAL CLASSSICKNESS AND DISABILITY BENEFITSPLACE OF RESIDENCELANDLORDSSTATE RETIREMENT PENSIONSSEASONAL EMPLOYMENTIN-SERVICE TRAININGSELF-EMPLOYEDFAMILY BENEFITSLABOUR AND EMPLOYMENTWORKPLACELONGTERM UNEMPLOYMENTSOCIAL SECURITY BENEFITSEDUCATIONAL CERTIFICATESINCOMEUNEMPLOYMENT BENEFITSPUBLIC SECTORDEBILITATIVE ILLNESSRELIGIOUS AFFILIATIONUNEMPLOYMENTAPPRENTICESHIPJOB HUNTINGINDUSTRIESQUALIFICATIONSWAGESEMPLOYMENT HISTORYHOURS OF WORKEDUCATIONAL FEESDISABLED PERSONSHOUSING BENEFITSATTITUDESOCCUPATIONAL STATUSETHNIC GROUPSMANAGERSPRIVATE SECTORMARITAL STATUSREDUNDANCYHOME-BASED WORKTEMPORARY EMPLOYMENTUNWAGED WORKERSLABOUR FORCESOCIO-ECONOMIC STATUSILL HEALTHGENDERHOUSEHOLDSCARE OF DEPENDANTSEDUCATIONAL LEVELSHEADS OF HOUSEHOLDCOHABITATIONEMPLOYMENT PROGRAMMESSICK LEAVENATIONAL IDENTITYEDUCATIONAL BACKGROUNDWORKING CONDITIONSFIELDS OF STUDYFLEXIBLE WORKING TIMEHEALTHAPPLICATION FOR EMPLOYMENTPLACE OF BIRTHEMPLOYER-SPONSORED TRAININGRECRUITMENTDISMISSALAPPOINTMENT TO JOBCONDITIONS OF EMPLOYMENTCOHABITINGARRANGEMENT OF WORKING TIMETAX RELIEFOCCUPATIONAL TRAININGDISABILITIESSHIFT WORKEDUCATIONAL COURSESTERMINATION OF SERVICEBUSINESS OWNERSHIPNATIONALITYSMALL BUSINESSESOCCUPATIONAL QUALIFICATIONSBONUS PAYMENTSUNEMPLOYEDHIGHER EDUCATIONCOMPANIESVOCATIONAL EDUCATIONORGANIZATIONSBUSINESSESFAMILIESIMMIGRATIONCHRONIC ILLNESSFURTHER EDUCATION Labour and employment Abstract copyright UK Data Service and data collection copyright owner.Background The Labour Force Survey (LFS) is a unique source of information using international definitions of employment and unemployment and economic inactivity, together with a wide range of related topics such as occupation, training, hours of work and personal characteristics of household members aged 16 years and over. It is used to inform social, economic and employment policy. The LFS was first conducted biennially from 1973-1983. Between 1984 and 1991 the survey was carried out annually and consisted of a quarterly survey conducted throughout the year and a 'boost' survey in the spring quarter (data were then collected seasonally). From 1992 quarterly data were made available, with a quarterly sample size approximately equivalent to that of the previous annual data. The survey then became known as the Quarterly Labour Force Survey (QLFS). From December 1994, data gathering for Northern Ireland moved to a full quarterly cycle to match the rest of the country, so the QLFS then covered the whole of the UK (though some additional annual Northern Ireland LFS datasets are also held at the UK Data Archive). Further information on the background to the QLFS may be found in the documentation. Longitudinal data The LFS retains each sample household for five consecutive quarters, with a fifth of the sample replaced each quarter. The main survey was designed to produce cross-sectional data, but the data on each individual have now been linked together to provide longitudinal information. The longitudinal data comprise two types of linked datasets, created using the weighting method to adjust for non-response bias. The two-quarter datasets link data from two consecutive waves, while the five-quarter datasets link across a whole year (for example January 2010 to March 2011 inclusive) and contain data from all five waves. Linking together records to create a longitudinal dimension can, for example, provide information on gross flows over time between different labour force categories (employed, unemployed and economically inactive). This will provide detail about people who have moved between the categories. Also, longitudinal information is useful in monitoring the effects of government policies and can be used to follow the subsequent activities and circumstances of people affected by specific policy initiatives, and to compare them with other groups in the population. There are however methodological problems which could distort the data resulting from this longitudinal linking. The ONS continues to research these issues and advises that the presentation of results should be carefully considered, and warnings should be included with outputs where necessary. Secure Access data Secure Access longitudinal datasets for the LFS are available for two-quarters (SN 7908) and five-quarters (SN 7909). The two-quarter datasets are available from April 2001 and the five-quarter datasets are available from June 2010. The Secure Access versions include additional, detailed variables not included in the standard 'End User Licence' (EUL) longitudinal datasets (see under GNs 33315 and 33316). Extra variables that typically can be found in the Secure Access versions but not in the EUL versions relate to:<ul><li>day, month and year of birth</li><li>standard occupational classification (SOC) relating to second job, job made redundant from, last job, apprenticeships and occupation one year ago</li><li>five digit industry subclass relating to main job, last job, second job and job one year ago</li></ul>These extra variables are not available for every quarter or dataset. Users are advised to consult the 'LFS Variable Catalogue' file available in the Documentation section below for further information. Occupation data for 2021 and 2022 data files The ONS has identified an issue with the collection of some occupational data in 2021 and 2022 data files in a number of their surveys. While they estimate any impacts will be small overall, this will affect the accuracy of the breakdowns of some detailed (four-digit Standard Occupational Classification (SOC)) occupations, and data derived from them. Further information can be found in the ONS article published on 11 July 2023: <a title="Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022" href="https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/articles/revisionofmiscodedoccupationaldataintheonslabourforcesurveyuk/january2021toseptember2022" style="background-color: rgb(255, 255, 255);">Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022</a>.2022 WeightingThe population totals used for the latest LFS estimates use projected growth rates from Real Time Information (RTI) data for UK, EU and non-EU populations based on 2021 patterns. The total population used for the LFS therefore does not take into account any changes in migration, birth rates, death rates, and so on since June 2021, and hence levels estimates may be under- or over-estimating the true values and should be used with caution. Estimates of rates will, however, be robust.Documentation The study documentation presented in the Documentation section includes data dictionaries for all years, and the most recent LFS documentation only, due to available space. Documentation for previous years is provided alongside the data for access and is also available upon request. Latest edition information For the fifteenth edition (July 2023), a data file covering January 2022 - March 2023 has been added to the study. Main Topics: The five-quarter longitudinal datasets include a subset of the most commonly used variables from the QLFS, covering the main areas of the survey. United Kingdom NationalIndividuals Men aged 16-64 and women aged 16-59 at any linked quarter. Numeric Longitudinal/panel/cohort See documentation for details Other The Data Collection is available to users registered with the UK Data Service.Commercial use is not permitted.Use of the data requires approval from the data owner or their nominee. Registered users must apply for access via a DEA Research Project Application.Registered users must complete the Safe Researcher Training course and gain <a href="https://uksa.statisticsauthority.gov.uk/digitaleconomyact-research-statistics/better-useofdata-for-research-information-for-researchers/" target="_blank">DEA Accredited Researcher Status</a>.Registered users must be based in the UK when accessing data.The Data Collection must be accessed via a secure connection method in a safe environment approved by the UK Data Service. See <restrctn> https://www.ons.gov.uk/surveys/informationforhouseholdsandindividuals/householdandindividualsurveys/labourforcesurvey https://www.ons.gov.uk/employmentandlabourmarket https://www.nomisweb.co.uk/ https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/bulletins/uklabourmarket/previousReleases https://data.gov.uk/dataset/a53b9d2e-a6f7-4be3-ab1b-fd62896ae5c9/economic-and-labour-market-review Razzu, G. and Singleton, C. (2018) 'Segregation and gender gaps in the United Kingdom's great recession and recovery', Feminist Economics, 24, 4, pp.31-55, https://doi.org/10.1080/13545701.2018.1451907. https://doi.org/10.1080/13545701.2018.1451907 Borowczyk-Martins, D. and Lale, E. (2019) 'Employment adjustment and part-time work: lessons from the United States and the United Kingdom', American Economic Journal: Macroeconomics, 11, 1, pp.389-435, https://doi.org/10.1257/mac.20160078. https://doi.org/10.1257/mac.20160078 https://oai.ukdataservice.ac.uk:8443/oai/provider 7909 2024-11-28T07:31:06Z ddi:codebook:2_5