Research Finding
Where You Live Explains 28% of Your Health
Our analysis of 54,000+ census tracts reveals geography alone explains more health variance than income, education, or access combined. But some communities defy prediction—with outcomes far better than their circumstances suggest.
Key Finding
College Towns vs Prison Towns: A 4 SD Health Divide
Communities built around education show +2.95 resilience. Communities built around incarceration show -0.98. Same country, same healthcare system—4 standard deviations apart.
Explore the DataPositive Outliers
Highest resilience scores
Tracts with health outcomes significantly better than predicted by socioeconomic factors.
Research Insights
What We've Learned
Stable Health Levels
Community health levels are remarkably consistent year-to-year. The factors that make communities resilient are deeply structural.
Geographic Variation
Geography alone explains over a quarter of health outcome variance. Where you live matters as much as how you live.
Burden Correlation
Strong inverse relationship between community burden and resilience. Communities facing the most challenges often show the least resilience.
Who uses this data
Researchers
Validated tract-level resilience scores with full methodology documentation and API access for large-scale analysis.
Journalists
Story-ready data with state and county comparisons. Find the resilience outliers in your coverage area.
Policy Analysts
Evidence for place-based interventions. Identify communities with successful health outcomes despite economic challenges.
Open Access
Use This Data in Your Work
This dataset is free for academic research, journalism, and policy analysis. No registration required. Please cite when publishing.
Community Resilience Mapping Project (2026). Census tract-level health resilience scores for the United States. https://odds.health