Data Sources & Methodology

GeoHealth SDOH Explorer aggregates federal public health, demographic, and environmental datasets to provide census-tract-level intelligence. This page documents every data source, how scores are computed, and the limitations of the analysis. All data is sourced from U.S. government agencies and is publicly available.

Data Sources

American Community Survey 5-Year Estimates
2018–2022

U.S. Census Bureau

Demographic, economic, and housing data at the census tract level including income, poverty, insurance coverage, employment, and age distribution.

Updates: Annual (5-year rolling)Geography: Census tract
demographics
trends
comparison
DPC demand
DPC affordability
DPC composite
Official source

Population Level Analysis and Community Estimates (PLACES)
2023 Release

Centers for Disease Control and Prevention

Model-based estimates for 36 chronic disease measures at the census tract level, derived from the Behavioral Risk Factor Surveillance System (BRFSS).

Updates: AnnualGeography: Census tract
health outcomes
comparison
DPC demand
DPC composite
Official source

Social Vulnerability Index
2022

CDC/Agency for Toxic Substances and Disease Registry

Percentile-ranked index across four themes: Socioeconomic Status, Household Characteristics, Racial/Ethnic Minority Status, and Housing Type/Transportation. Used to identify communities most at risk during public health emergencies.

Updates: BiennialGeography: Census tract
svi
comparison
DPC demand
DPC composite
Official source

Environmental Justice Screening and Mapping Tool
2024

U.S. Environmental Protection Agency

Environmental and demographic indicators including PM2.5, ozone, lead paint, air toxics cancer risk, traffic proximity, and Superfund site proximity.

Updates: AnnualGeography: Census tract / block group
environmental
Official source

National Plan and Provider Enumeration System
Monthly updates

Centers for Medicare & Medicaid Services (CMS)

Registry of all healthcare providers in the U.S. Used to identify primary care physicians (PCPs), FQHCs, urgent care centers, and rural health clinics by taxonomy code and practice location.

Updates: MonthlyGeography: Provider address (geocoded to tract)
DPC supply gap
DPC competition
DPC composite
providers
Official source

Health Professional Shortage Area Designations
2024

Health Resources and Services Administration

Federal designation identifying geographic areas, populations, or facilities with shortages of primary care, dental, or mental health providers. HPSA scores range 0–25, with higher scores indicating greater shortage.

Updates: QuarterlyGeography: County / service area
DPC supply gap
DPC composite
Official source

County Business Patterns
2022

U.S. Census Bureau

Annual data on business establishments, employment, and payroll by county and industry (NAICS). Used to assess employer landscape for DPC partnership potential—specifically mid-size employers (10–249 employees) and average wages.

Updates: AnnualGeography: County
DPC employer
DPC composite
Official source

Topologically Integrated Geographic Encoding and Referencing
2022

U.S. Census Bureau

Geographic boundary shapefiles for census tracts, counties, and states. Used for map rendering and spatial operations.

Updates: AnnualGeography: Census tract
map boundaries
Official source

SDOH Index

The SDOH Index (0–1) is a composite vulnerability score combining poverty rate, uninsured rate, unemployment rate, and CDC SVI percentile rankings. Higher values indicate greater social determinant burden. The index is computed server-side using min-max normalization across loaded tracts and equal weighting of components.

Range: 0 (least vulnerable) – 1 (most vulnerable)Sources: Census ACS, CDC/ATSDR SVI

DPC Market Fit Scoring

The DPC (Direct Primary Care) Market Fit score estimates the geographic viability for Direct Primary Care practices. DPC is a membership-based primary care model where patients pay a monthly fee (typically $75–$150) for comprehensive primary care without insurance billing. The composite score (0–100) is a weighted average of five dimensions, each scored independently using min-max normalization against national reference ranges.

WEAK

0–39

MODERATE

40–59

STRONG

60–79

EXCELLENT

80–100

Data completeness is tracked per dimension. When completeness is below 100%, the score reflects only available indicators, and competition scores are capped at 70 to prevent inflated ratings.

Demand
Weight: 25%

Measures the need for primary care services in the area. Higher uninsured rates, chronic disease burden, and social vulnerability indicate greater demand for accessible, affordable care models like DPC.

IndicatorWeightSourceDirection
Uninsured Rate25%Census ACSHigher = more demand
Chronic Disease Burden25%CDC PLACESHigher = more demand
Working-Age Population15%Census ACSLarger = bigger market
SVI Socioeconomic Theme15%CDC/ATSDR SVIHigher = more need

Affordability
Weight: 20%

Evaluates the population's ability to pay for DPC membership (typically $75–$150/month). Higher incomes, lower housing burden, and stronger employment indicate more capacity to subscribe.

IndicatorWeightSourceDirection
Median Household Income35%Census ACSHigher = more ability to pay
DPC as % of Income30%Census ACS (derived)Lower = more affordable
Employment Rate20%Census ACSHigher = more stable income
Housing Cost Burden15%Census ACSLower = more disposable income

Supply Gap
Weight: 25%

Identifies areas with insufficient primary care infrastructure. Fewer PCPs, HPSA designations, and limited safety-net facilities signal opportunities for new DPC practices.

IndicatorWeightSourceDirection
PCP per 100k Population40%NPPES NPILower = more opportunity
HPSA Score35%HRSA HPSAHigher = greater shortage
FQHC Presence25%NPPES NPIFewer = less safety-net coverage

Employer
Weight: 20%

Assesses the local business landscape for employer-sponsored DPC partnerships. Mid-size employers (10–249 employees) are the primary target for DPC group contracts.

IndicatorWeightSourceDirection
Target Establishment %40%Census CBPMore mid-size = better
Average Annual Wage35%Census CBPHigher = can afford DPC benefit
Total Establishments25%Census CBPMore = more prospects

Competition
Weight: 10%

Evaluates the competitive landscape. Areas with fewer competing facilities (FQHCs, urgent care, rural health clinics) and lower PCP density represent less saturated markets.

IndicatorWeightSourceDirection
Competing Facility Count50%NPPES NPIFewer = less competition
PCP Density50%NPPES NPILower = less saturation

Health Outcomes Benchmarking

Health outcome measures from CDC PLACES are benchmarked against national averages. Each tract value is compared to its national benchmark using a ratio. Values within 85–115% of the benchmark are marked moderate (amber). Values below 85% are marked favorable (green), and above 115% are marked as elevated (red). For preventive measures (routine checkups, dental visits), the comparison is inverted—higher is better.

CDC PLACES estimates are model-based using BRFSS data and should be interpreted as estimates, not direct measurements. Small-area estimates may have wider confidence intervals in low-population tracts.

Limitations

  • Geographic coverage: All 50 US states + DC are loaded, covering ~84,000 census tracts. US territories are not yet included.
  • Temporal lag: ACS 5-year estimates represent 2018–2022 averages. Rapid demographic shifts may not yet be reflected.
  • Model-based estimates: CDC PLACES health measures are modeled from BRFSS survey data, not direct measurements. Confidence intervals vary by tract size.
  • DPC scoring is exploratory: The market fit model uses heuristic weights and national reference ranges. It is intended for screening, not as a definitive business assessment.
  • Provider data currency: NPPES data is refreshed monthly, but provider practice locations may lag behind actual moves or closures.
  • County-level employer data: Census CBP employer data is at the county level and may not reflect within-county variation for large counties.
  • HPSA boundaries: HRSA HPSA designations are at the county or service area level, not tract level. A tract within a non-HPSA county may still experience provider shortages.

Documentation & Source Code

Suggested Citation

GeoHealth SDOH Explorer. Data from U.S. Census Bureau American Community Survey, CDC PLACES, CDC/ATSDR Social Vulnerability Index, HRSA HPSA, CMS NPPES, Census County Business Patterns, and EPA EJScreen. Available at https://geohealth-api.vercel.app. Accessed [date].

When citing specific data, please also cite the original source agency (e.g., “CDC PLACES 2023 Release, based on BRFSS 2022 data”).