OBJECTIVES: We investigated associations between multiple sociodemographic characteristics (sex, age, occupational social class, education and ethnicity) and self-reported healthcare disruptions during the early stages of the Covid-19 pandemic. DESIGN: Coordinated analysis of prospective population surveys. SETTING: Community-dwelling participants in the UK between April 2020 and January 2021. PARTICIPANTS: Over 68,000 participants from twelve longitudinal studies. OUTCOMES: Self-reported healthcare disruption to medication access, procedures and appointments. RESULTS: Prevalence of health care disruption varied substantially across studies: between 6 per cent and 32 per cent reported any disruption, with one per cent–ten per cent experiencing disruptions in medication, one per cent–17 per cent experiencing disruption in procedures and four per cent–28 per cent experiencing disruption in clinical appointments. Females (OR 1.27; 95 per cent CI 1.15 to 1.40; I2=54 per cent), older persons (eg, OR 1.39; 95 per cent CI 1.13 to 1.72; I2=77 per cent for 65–75 years vs 45–54 years) and ethnic minorities (excluding white minorities) (OR 1.19; 95 per cent CI 1.05 to 1.35; I2=0 per cent vs white) were more likely to report health care disruptions. Those in a more disadvantaged social class were also more likely to report health care disruptions (eg, OR 1.17; 95 per cent CI 1.08 to 1.27; I2=0 per cent for manual/routine vs managerial/professional), but no clear differences were observed by education. We did not find evidence that these associations differed by shielding status. CONCLUSIONS: Healthcare disruptions during the Covid-19 pandemic could contribute to the maintenance or widening of existing health inequalities. [Abstract]