County Health Rankings & Roadmaps, A Healthier Nation, County by County

The County Health Rankings models and measures

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The County Health Rankings model of population health

What can I do?

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Explore guides and tools for improving health

What can I learn from others?

Reports

Key findings from the last three years of County Health Rankings and other national reports.

County-by-County Blog

Project updates, commentaries, events and news about health across the nation from the County Health Rankings & Roadmaps team.

Digging Deeper

The snapshot provided by the County Health Rankings offers a starting place for understanding health in your community. It provides county-level data across a broad array of health outcomes and health factors.

We know that health factors and outcomes can differ by age, gender, race, ethnicity, ability, and sexual orientation. Within counties, differences can also exist from one neighborhood or ZIP code to the next. These differences are not captured in the County Health Rankings data. However, more detailed data for these subgroups and for many other measures of health may exist at the state, county, and even city level. Understanding the differences in health outcomes and factors for these subgroups can inform community efforts to target resources where they are most needed and improve the health of the community as a whole.

Differences Among Population Groups
Differences by Locale/Neighborhood
  • Does this measure differ across age groups?
  • How does this measure vary among racial or ethnic groups?
  • How does this measure vary across groups with different socioeconomic characteristics?
  • Are there specific ZIP codes, neighborhoods, or school districts where the measure indicates a localized problem or opportunity?

The information in the table below offers a starting point in answering the questions above. For each of the 35 measures in the County Health Rankings, we've made an assessment of the availability of subgroup data for specific demographic groups or for geographic areas smaller than counties. You will find one of three assessments in each cell:

  1. Yes - This indicates that for at least some counties, subgroup data should be available. In some cases, the data is generally available from state-specific sources, or is only available for larger counties, or some modifications must be made to the measure to get subgroup data. Click on the measure name to get more specific information about how to access subgroup data, and what limitations you might encounter.
  2. No - This indicates that County Health Rankings staff are not aware of any sources of data for demographic groups or subcounty areas.
  3. N/A - This represents a cell that is Not Applicable. You will generally find this where we are measuring the availability of a shared resource. For example, everyone in a shared geographic area has the same access to air pollution; it would not make sense to try to estimate different air pollution levels for different demographic groups living in the same geographic area.
Measure
Age
Gender
Race
Education
Income
Subcounty Area
Premature death
Yes
Yes
Yes
Yes
No
No
Poor or fair health
Yes
Yes
Yes
Yes
Yes
No
Poor physical health days
Yes
Yes
Yes
Yes
Yes
No
Poor mental health days
Yes
Yes
Yes
Yes
Yes
No
Low birthweight
Yes
N/A
Yes
Yes
No
No
Adult smoking
Yes
Yes
Yes
Yes
Yes
No
Adult obesity
Yes
Yes
Yes
Yes
Yes
No
Food environment index
Yes
No
No
No
No
Yes
Physical inactivity
Yes
Yes
Yes
Yes
Yes
No
Access to exercise opportunities
No
No
No
No
No
Yes
Excessive drinking
Yes
Yes
Yes
Yes
Yes
No
Alcohol-impaired driving deaths
Yes
Yes
Yes
No
No
Yes
Sexually transmitted infections
Yes
Yes
Yes
No
No
No
Teen births
Yes
Yes
Yes
Yes
No
No
Uninsured
Yes
Yes
Yes
No
Yes
Yes
Primary care physicians
N/A
N/A
N/A
N/A
N/A
Yes
Dentists
N/A
N/A
N/A
N/A
N/A
No
Mental health providers
N/A
N/A
N/A
N/A
N/A
No
Preventable hospital stays
No
No
Yes
No
No
No
Diabetic monitoring
No
No
Yes
No
No
No
Mammography screening
No
No
Yes
No
No
No
High school graduation
N/A
No
Yes
N/A
Yes
Yes
Some college
Yes
Yes
Yes
N/A
No
Yes
Unemployment
No
Yes
Yes
Yes
No
Yes
Children in poverty
Yes
No
Yes
No
N/A
Yes
Income inequality
No
No
No
No
N/A
No
Children in single-parent households
N/A
No
No
No
No
Yes
Social associations
N/A
N/A
N/A
N/A
N/A
Yes
Violent crime
No
No
No
No
No
Yes
Injury deaths
Yes
Yes
Yes
Yes
No
No
Air pollution - particulate matter
N/A
N/A
N/A
N/A
N/A
No
Drinking water violations
N/A
N/A
N/A
N/A
N/A
Yes
Severe housing problems
No
No
Yes
No
No
Yes
Driving alone to work
Yes
No
Yes
No
No
Yes
Long commute – driving alone
No
No
No
No
No
Yes