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getting_started

library(countyhealthR)

— 1. Explore available measures —

See all County Health Rankings & Roadmaps measures for a given release year

list_chrr_measures(release_year = 2024)  # useful for discovering measure IDs or names

— 2. Pull county-level data —

Examine ALL health measures for a specified location

Example: county-level data for Dane County, Wisconsin

county_data <- get_chrr_county_data(
  state = "WI", 
  county = "Dane", 
  release_year = 2025
)
head(county_data)

— 3. Pull measure-level data —

Examine one health measure across a specified geographic unit

Example: “Uninsured adults” across all US counties

measure_data <- get_chrr_measure_data(
  geography = "county", 
  measure = "uninsured adults",
  release_year = 2022
)
head(measure_data)

— 4. Get metadata for a measure —

See details about a measure including description, precision, and years represented

meta_data <- get_chrr_measure_metadata(
  measure = "Uninsured adults", 
  release_year = 2024
)
head(meta_data)

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.