Understanding Society: Calendar Year Dataset, 2021

DOI

Abstract copyright UK Data Service and data collection copyright owner.Understanding Society, (UK Household Longitudinal Study), which began in 2009, is conducted by the Institute for Social and Economic Research (ISER) at the University of Essex and the survey research organisations Kantar Public and NatCen. It builds on and incorporates, the British Household Panel Survey (BHPS), which began in 1991.

The Understanding Society: Calendar Year Dataset, 2021, is designed to enable cross-sectional analysis of individuals and households relating specifically to their annual interviews conducted in the year 2021, and, therefore, combine data collected in three waves (Waves 11, 12 and 13). It has been produced from the same data collected in the main Understanding Society study and released in the longitudinal datasets SN 6614 (End User Licence) and SN 6931 (Special Licence). Such cross-sectional analysis can, however, only involve variables that are collected in every wave in order to have data for the full sample panel. The 2021 dataset is the second of a series of planned Calendar Year Datasets to facilitate cross-sectional analysis of specific years. Full details of the Calendar Year Dataset sample structure (including why some individual interviews from 2022 are included), data structure and additional supporting information can be found in the document '9193_calendar_year_dataset_2021_user_guide'. As multi-topic studies, the purpose of Understanding Society is to understand the short- and long-term effects of social and economic change in the UK at the household and individual levels. The study has a strong emphasis on domains of family and social ties, employment, education, financial resources, and health. Understanding Society is an annual survey of each adult member of a nationally representative sample. The same individuals are re-interviewed in each wave approximately 12 months apart. When individuals move, they are followed within the UK, and anyone joining their households is also interviewed as long as they are living with them. The fieldwork period for a single wave is 24 months. Data collection uses computer-assisted personal interviewing (CAPI) and web interviews (from wave 7) and includes a telephone mop-up. From March 2020 (the end of wave 10 and 2nd year of wave 11), due to the coronavirus pandemic, face-to-face interviews were suspended, and the survey has been conducted by web and telephone only but otherwise has continued as before. One person completes the household questionnaire. Each person aged 16 or older participates in the individual adult interview and self-completed questionnaire. Youths aged 10 to 15 are asked to respond to a paper self-completion questionnaire. In 2020, an additional frequent web survey was separately issued to sample members to capture data on the rapid changes in people’s lives due to the COVID-19 pandemic (see SN 8644). The COVID-19 Survey data are not included in this dataset. Further information may be found on the Understanding Society main stage webpage and links to publications based on the study can be found on the Understanding Society Latest Research webpage. Co-funders In addition to the Economic and Social Research Council, co-funders for the study included the Department of Work and Pensions, the Department for Education, the Department for Transport, the Department of Culture, Media and Sport, the Department for Community and Local Government, the Department of Health, the Scottish Government, the Welsh Assembly Government, the Northern Ireland Executive, the Department of Environment and Rural Affairs, and the Food Standards Agency. End User Licence and Special Licence versions: There are two versions of the Calendar Year 2021 data. One is available under the standard End User Licence (EUL) agreement, and the other is a Special Licence (SL) version. The SL version contains month and year of birth variables instead of just age, more detailed country and occupation coding for a number of variables and various income variables have not been top-coded (see the document '9194_eul_vs_sl_variable_differences' for more details). Users are advised to first obtain the standard EUL version of the data to see if they are sufficient for their research requirements. The SL data have more restrictive access conditions; prospective users of the SL version will need to complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables in order to get permission to use that version. The main longitudinal versions of the Understanding Society study may be found under SNs 6614 (EUL) and 6931 (SL). Low- and Medium-level geographical identifiers produced for the mainstage longitudinal dataset can be used with this Calendar Year 2021 dataset, subject to SL access conditions. See the User Guide for further details. Suitable data analysis software These data are provided by the depositor in Stata format. Users are strongly advised to analyse them in Stata. Transfer to other formats may result in unforeseen issues. Stata SE or MP software is needed to analyse the larger files, which contain about 1,900 variables.

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The survey instrument is constructed with modules. For a fuller listing of modules and questionnaire content see the User Manual or the online documentation system. The household grid or enumeration grid has a listing of all household members with information about gender, date of birth, marital and employment status, and relationship to the household respondent. The household questionnaire has questions about housing, mortgage or rent payments, material deprivation, and consumer durables and cars. The individual adult interview is asked of every person in the household aged 16 or over. It has questions about demographics, baseline information, family background, ethnicity and language use; migration, partnership and fertility histories; health, disability and caring; current employment and earnings; employment status; parenting and childcare arrangements; family networks; benefit payments; political party identification; household finances; environmental behaviours; consents to administrative data linkage. A proxy module is a much-shortened version of the individual questionnaire that collects demographic, health and employment information, as well as a summary income measure. It is completed by one person on behalf of another. Those who completed an individual adult interview also complete a self-completion questionnaire. It includes subjective questions, particularly those which are potentially sensitive or require more privacy. For example, feelings of depression (GHQ-12) and well-being, sleep behaviour, environmental attitudes and beliefs, neighbourhood participation and belonging, life satisfaction, activities with partner and relationship quality. A youth self-completed questionnaire is completed by 10-15 year olds. It includes questions on computer and technology use, family support, sibling relationships, feelings about areas of life, Strengths and Difficulties Questionnaire, health behaviours, smoking and drinking, and aspirations.

Multi-stage stratified random sample

Telephone interview

Web-based interview

Self-administered questionnaire

Face-to-face interview

Identifier
DOI https://doi.org/10.5255/UKDA-SN-9193-1
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=e88cb0b13c1a87607f0e332fe1baf6600e9d261e0a44cfa5be29003355eedf04
Provenance
Creator University of Essex, Institute for Social and Economic Research
Publisher UK Data Service
Publication Year 2024
Funding Reference Economic and Social Research Council
Rights Copyright Economic and Social Research Council; <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; Life Sciences; Medicine; Medicine and Health; Physiology; Social and Behavioural Sciences
Spatial Coverage United Kingdom