CDC PLACES Local Chronic Disease Data Scraper
Pricing
from $3.00 / 1,000 results
CDC PLACES Local Chronic Disease Data Scraper
Extract CDC PLACES local-area chronic disease prevalence estimates (county, census tract, ZCTA). Covers 36+ measures: diabetes, hypertension, obesity, cancer screening, mental health, smoking, and more.
Pricing
from $3.00 / 1,000 results
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Extract CDC PLACES (Population Level Analysis and Community Estimates) — local-area chronic disease prevalence estimates published by the U.S. Centers for Disease Control and Prevention. PLACES uses small-area BRFSS modeling to produce health estimates at the county, census tract, and ZCTA level.
36+ measures across diabetes, hypertension, obesity, cancer screening, mental health, smoking, dental health, sleep, physical activity, and preventive care utilization. This Actor wraps CDC's public Socrata API with clean JSON output for analytics, RAG, and public-health dashboards.
Features
- Geography selector —
county,censustract, orzcta. - Filter by state abbreviation, county name, or measure ID.
- Returns full record: prevalence, confidence intervals, population denominator, geolocation.
- No API key required.
- Pagination up to 100,000 records per run.
Output fields
| Field | Description |
|---|---|
| year | Survey year |
| stateAbbr, stateDesc | State |
| locationName, locationId | County / tract GEOID / ZCTA |
| category, measure, shortName | Health topic |
| dataValue, dataValueUnit, dataValueType | Estimate value + unit (% or count) |
| lowConfidenceLimit, highConfidenceLimit | 95% CI bounds |
| totalPopulation, totalPop18Plus | Denominator |
| latitude, longitude | Centroid of geography |
Tutorial — How to scrape CDC PLACES data
- Click Try for free.
- Choose Geography:
county(default),censustract, orzcta. - (Optional) Set State (e.g.,
TX) and County (e.g.,Harris). - (Optional) Set Measure to a CDC measure ID — examples:
OBESITY,DIABETES,BPHIGH,CASTHMA,CANCER,DEPRESSION,MHLTH,SLEEP. - Set Max Results and Run.
Pricing
Per-result. Lightweight — Socrata responds fast and runs cost cents.
Use cases
- Healthcare market sizing — identify counties with high diabetes prevalence to target diabetes-care providers.
- Insurer / Medicare Advantage geographic strategy.
- Public-health and academic research dashboards.
- ESG/SDOH analyses combining health and geography.
FAQ
Q: Is this data fresh? Updated annually by CDC.
Q: Are census tracts and ZCTAs available? Yes — switch the Geography input.
Q: Why the confidence intervals? PLACES are modeled estimates from BRFSS — CIs convey statistical uncertainty.
Legal
CDC PLACES data is public-domain U.S. Government data. This Actor uses CDC's official Socrata Open Data endpoints. Cite CDC PLACES in derived analyses.
