Data for a Fairer Future

School exclusions are often regarded as exceptional events. In 2024/25, the rate of exclusions was 15.2 per 1,000 pupils across Scottish schools. But this rate is deceptive, as it doesn’t show us the full picture of who is more likely to be excluded from school, where pupils are more likely to be excluded, and how exclusion rates compare to the rest of the UK. This project analyses linked administrative datasets to address these questions. Using multilevel modelling, we show how exclusion rates differ by pupils’ backgrounds, their schools, and differences in policy by council area.

Active commuting is cheap, healthy and contributes to carbon zero sustainable cities. The study investigated how different factors influence propensity to cycle, using linked administrative data to map people’s route to work and commuting choices. Outcomes identified the importance of cycling infrastructure when promoting active commuting to under-represented groups, particularly women.