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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.
Health stats visible at Monitor.