getting_started
— 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)