Longitudinal studies follow the lives of individuals over a long period of time, showing us how people are affected by changes in society. The ONS Longitudinal Study contains the census data and some life events data of approximately one million sample members, collected over 40 years. This service is free to the user.
The UKcenLS is the collective name for the 3 UK Census Longitudinal Studies: the ONS Longitudinal Study (LS), the Northern Ireland LS (NILS) and the Scottish Longitudinal Study (SLS). On 10th December 2021 each research unit presented an overview of their LS, with sample sizes, data included, access procedures, etc - these are now available as YouTube videos:
- CeLSIUS - Aly Sizer
- NILS-RSU (this link will take you to a video file in your web browser, not youtube)
- SLS-DSU - Lee Williamson
Also, exciting recent findings from researchers using the studies were showcased:
- The Health of Older People in Places Project - Emily Murray, UCL
- Keeping it, losing it or gaining it? The loss, retention and uptake of the Irish language in Northern Ireland - John Hughes, ARU NISRA (video not currently available)
- The Island Effect: sociospatial associations between mental wellbeing and residence on remote Scottish islands - Tom Clemens and Kathryn Halliday, University of Edinburgh
New blog which discusses the findings of a paper which uses ONS LS data, on the causal effect of children’s education on their parents’ health and longevity, by Cecilia Potente (Zurich University), Patrick Präg (Oxford University) and Christiaan Monden (Oxford University)
In Episode 5 of Linking our Lives, David Green, Professor of Historical Geography at Kings College London, Nicola Shelton, Professor of Population Health at University College London and social history enthusiast and volunteer Becky Darnill discuss the research project Addressing Health: Morbidity, Mortality and Occupational Health in the Victorian and Edwardian Post Office - a fantastic collaboration exploring the timing and geography of ill health, and the responses of the Post Office and the workforce!
New information for LS researchers: derived variables list (PDF)
Information on the syntax files that are available for LS researchers to use.