Understanding Society: Innovation Panel, Waves 1-18, 2008-2025: Special Licence Access, Travel to Work Areas
Year: 2026
Type: dataset
Abstract: Understanding Society, (the 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 Verian Group (formerly Kantar Public) and NatCen. It builds on and incorporates, the British Household Panel Survey (BHPS), which began in 1991. The Understanding Society Innovation Panel is designed for experimental and methodological research relevant to longitudinal surveys. As far as practical its design, content, and data collection procedures are similar to the main stage Understanding Society survey. It is a multi-topic household survey representative of the population of Great Britain. Data collection takes place annually using computer assisted personal interviewing (CAPI), web surveys and telephone interviewing (CATI) to a small extent. For details of the main Understanding Society study, please see study number 6614. Understanding Society (the 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: Innovation Panel: Special Licence Access, Travel to Work Areas dataset contains Travel to Work Areas (TTWA) geographic variables for each wave of Understanding Society: Innovation Panel to date, and a household identification serial number for file matching to the main Understanding Society: Innovation Panel data. These data have more restrictive access conditions than those available under the standard End User Licence (see 'Access data' tab for more information). Latest edition information For the thirteenth edition (October 2026), data for Wave 18 was deposited.
Source: UK Data Archive
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7221606928