Government statistics show that children with special educational needs and disabilities do not achieve as well academically as their peers, which impacts on later employment and socioeconomic circumstances. Addressing these inequalities is a key policy area which currently lacks a satisfactory evidence base. To explore the issue, the present study used data from the Scottish Longitudinal Study which contains data from the 1991, 2001 and 2011 censuses along with other administrative data, from a representative sample of the Scottish population. Using this large and longitudinal sample, the present study examines educational engagement, expectations and attainment for children with self-reported disability, controlling for other early childhood factors. The results show that children with mental health problems were at higher risk of leaving school early, and that children with learning difficulties were less likely to gain advanced qualifications. Neither limiting longterm illness in early childhood nor disability in adolescence were significant predictors of engagement, however, they did predict measures of academic expectation and attainment. Results suggest there is a critical phase for attainment, with area deprivation in early childhood but not adolescence being important for later educational inequalities.

Health inequalities—systematic differences in health outcomes between social groups and across spatial units—are ubiquitous, but not necessarily inevitable. They are the product of a complex interplay of social and economic processes operating at various scales. The unequal pattern of infection and death seen in the Covid‐19 pandemic has served to highlight the stark social gradient in health that exists within many European countries. Although the complex social determinants of health have been studied for many decades, there is still a great deal of work to do to elucidate explanations for health inequalities across time and space. To rise to the challenge, we need high‐quality, representative data capable of capturing multi‐scalar longitudinal processes. This special issue brings together eight new studies which all use national population register data linked with various other sources of administrative data (e.g., residence, tax and health records) to investigate different vectors of inequalities in health and mortality, covering spatial, socioeconomic, ethnic and migrant status. This editorial outlines their contributions, argues for the invaluable role of population register data to understand health inequalities and suggests promising future research avenues.