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Health/Geographic · Index Gold

GeoHealth Index

How healthy or at-risk is this US ZIP code, and what's driving it?

Refresh
annual (manual offline recompute + D1 reload; no auto-cron yet)
History
single vintage
Plan
Gold
Stable

📈 Live history is activating for this object — the automated backfill is in progress.

⌁ mcp.call("adw-302") v1.0
Live demo

Try it live — any US ZIP

The widget below calls the live ADW-302 endpoint in real time. Enter any 5-digit US ZIP to pull a health-risk score, confidence, and top drivers — the same call your agent makes.

Try:

Sample · ZCTA preview

Try your ZIP →
Real-time score from the ADW API

National context

0255075100
Healthiest Pinecrest, FL 13.6
Riskiest Crowley, LA 82.8
Manhattan (~25) Chicago (~43) Detroit (~74)

Top risk drivers · sample

  • 1High blood pressure 52
  • 2Obesity 48
  • 3Smoking 41

Enter a ZIP above to see real drivers for that area.

Multi-year trends

Layer-by-layer history — Cook County, IL

Each layer is tracked independently, giving agents a time-series signal per health domain — not just a single composite.

Loading multi-year history…
Coverage: This trend is one of 3,143 counties × 4–8 years available via /v1/geohealth/{entity}/history — pass any ZIP, county FIPS, or county name (e.g. 17031 / Cook County, IL).
Forward outlook

Prediction

Horizon
Recommended use
How healthy or at-risk is this US ZIP code, and what's driving it?
Methodology

How it's built

Per measure: national percentile rank across 32,520 ZCTAs, polarity-adjusted (higher=worse), weighted 1-3 (mortality-linked chronic disease=3) -> 0-100 composite; confidence = fraction of 40 measures present (small ZCTAs lower).

CDC PLACES ZCTA 2025 (data.cdc.gov)

Version 1.0 · validated to beat a naive baseline · benchmark: none packaged (CDC PLACES is raw tables; this is the assembled agent-ready index)