BackgroundResearch on the association between neighborhood social deprivation and health among adults with congenital heart defects (CHD) is sparse.MethodsWe evaluated the associations between neighborhood social deprivation and health care utilization, disability, and comorbidities using the population‐based 2016–2019 Congenital Heart Survey To Recognize Outcomes, Needs, and well‐beinG (CH STRONG) of young adults. Participants were identified from active birth defect surveillance systems in three U.S. sites and born with CHD between 1980 and 1997. We linked census tract‐level 2017 American Community Survey information on median household income, percent of ≥25‐year‐old with greater than a high school degree, percent of ≥16‐year‐olds who are unemployed, and percent of families with children <18 years old living in poverty to survey data and used these variables to calculate a summary neighborhood social deprivation z‐score, divided into tertiles. Adjusted prevalence ratios (aPR) and 95% confidence intervals (CI) derived from a log‐linear regression model with a Poisson distribution estimated the association between tertile of neighborhood social deprivation and healthcare utilization in previous year (no encounters, 1 and ≥2 emergency room [ER] visits, and hospital admission), ≥1 disability, and ≥1 comorbidities. We accounted for age, place of birth, sex at birth, presence of chromosomal anomalies, and CHD severity in all models, and, additionally educational attainment and work status in all models except disability.ResultsOf the 1435 adults with CHD, 43.8% were 19–24 years old, 54.4% were female, 69.8% were non‐Hispanic White, and 33.7% had a severe CHD. Compared to the least deprived tertile, respondents in the most deprived tertile were more likely to have no healthcare visit (aPR: 1.5 [95% CI: 1.1, 2.1]), ≥2 ER visits (1.6 [1.1, 2.3]), or hospitalization (1.6 [1.1, 2.3]) in the previous 12 months, a disability (1.2 [1.0, 1.5]), and ≥1 cardiac comorbidities (1.8 [1.2, 2.7]).ConclusionsNeighborhood social deprivation may be a useful metric to identify patients needing additional resources and referrals.