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This feature layer contains 2022 County Health Rankings data for nation, states, and counties. Includes measures of health factors (e.g., uninsured, child poverty, physical inactivity) & health outcomes (e.g., life expectancy, low birth weight). A brief summary of the item is not available. Add a brief summary about the item.

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Item created: Aug 29, 2022 Item updated: Dec 5, 2024 View count: 2,011,842

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Description

The County Health Rankings, a collaboration between the Robert Wood Johnson Foundation and the University of Wisconsin Population Health Institute, measure the health of nearly all counties in the nation and rank them within states. This feature layer contains 2022 County Health Rankings data for nation, state, and county levels. The Rankings are compiled using county-level measures from a variety of national and state data sources. 

Some example measures are:
  • adult smoking
  • physical inactivity
  • flu vaccinations
  • child poverty
  • driving alone to work
To see a full list of variables, as well as their definitions and descriptions, explore the Fields information by clicking the Data tab here in the Item Details. These measures are standardized and combined using scientifically-informed weights.

"By ranking the health of nearly every county in the nation, County Health Rankings & Roadmaps (CHR&R) illustrates how where we live affects how well and how long we live. CHR&R also shows what each of us can do to create healthier places to live, learn, work, and play – for everyone."

Counties are ranked within their state on both health outcomes and health factors. Counties with a lower (better) health outcomes ranking than health factors ranking may see the health of their county decline in the future, as factors today can result in outcomes later. Conversely, counties with a lower (better) factors ranking than outcomes ranking may see the health of their county improve in the future.

Some new variables in the 2022 Rankings data compared to previous versions:
  • COVID-19 age-adjusted mortality
  • School segregation
  • School funding adequacy
  • Gender pay gap
  • Childcare cost burden
  • Childcare centers
  • Living wage (while the Living wage measure was introduced to the CHRR dataset in 2022 from the Living Wage Calculator, it is not available in the Living Atlas dataset and user’s interested in the most up to date living wage data can look that up on the Living Wage Calculator website).
Data Processing Notes:
Data downloaded April 2022
Slight modifications made to the source data are as follows:
  • The string " raw value" was removed from field labels/aliases so that auto-generated legends and pop-ups would only have the measure's name, not "(measure's name) raw value" and strings such as "(%)", "rate", or "per 100,000" were added depending on the type of measure.
  • Percentage and Prevalence fields were multiplied by 100 to make them easier to work with in the map.
  • Ratios were set to null if negative to make them easier to work with in the map.
  • For demographic variables, the word "numerator" was removed and the word "population" was added where appropriate.
  • Fields dropped from analytic data file: 
  • Analytic data file was then merged with state-specific ranking files so that all county rankings and subrankings are included in this layer.
  • 2010 US boundaries were used as the data contain 2010 US census geographies, for a total of 3,142 counties.

An in-depth description of the item is not available.

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 This work is licensed under the Esri Master License Agreement.

No special restrictions or limitations on using the item's content have been provided.

Comments (2)

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xsun1@colgate.edu_colgategis Item Owner commented 2 months ago Delete Reply

Same with the 2023 data layer

xsun1@colgate.edu_colgategis Item Owner commented 2 months ago Delete Reply

Data input error: several counties in MS is recorded counties in LA

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          Applicable: 2d

          Data updated: Dec 5, 2024, 9:44 PM

          Schema updated: Dec 5, 2024, 10:04 PM

          Size: 70.313 MB

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          ID: 3a684a0851e74ff1b55225dbdfde78b4

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          University of Wisconsin Population Health Institute, Robert Wood Johnson Foundation.

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