Definition
Social Determinants of Health (SDOH)
Social determinants of health (SDOH) are the nonmedical conditions in the places where people are born, live, learn, work, play, worship and age that affect a wide range of health, functioning and quality-of-life outcomes and risks.
2 min readReviewed September 14, 2026
Also known as: Social drivers of health, Health-related social needs, Social risk factors
Key facts
- Federal framework
- Healthy People 2030, HHS Office of Disease Prevention and Health Promotion
- Domains
- Five, from economic stability to social and community context
- Diagnosis coding
- ICD-10-CM Z codes in categories Z55 to Z65
- Area-level measures
- Area Deprivation Index and CDC/ATSDR Social Vulnerability Index
The five SDOH domains
Healthy People 2030 organizes social determinants into:
- Economic stability: employment, income, food security and housing stability.
- Education access and quality: early childhood education, literacy and school completion.
- Health care access and quality: insurance coverage, access to primary care and health literacy.
- Neighborhood and built environment: housing quality, transportation, environmental conditions and safety.
- Social and community context: social support, discrimination, incarceration and civic participation.
How SDOH is measured in data
There are two broad approaches. Individual data comes from screening questionnaires and from ICD-10-CM Z codes (categories Z55 to Z65), which record problems such as homelessness or food insecurity on a claim or medical record. Z codes are widely underused, so their absence does not mean a need is absent.
Area data assigns neighborhood characteristics to patients by address, using indexes such as the Area Deprivation Index or census measures like poverty rates. Area measures are easy to join but describe a neighborhood, not the person.
Why SDOH matters
Health plans and accountable care organizations use SDOH data to stratify risk and target care management. Pharma and device commercial teams use it to understand adherence and access barriers in specific markets. Trial sponsors use area-level measures to plan recruitment that reaches underrepresented communities, and policy analysts use it to explain differences in outcomes that clinical data alone cannot.