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

The County Health Rankings models and measures

Our Approach

The County Health Rankings model of population health

What can I do?

Action Center

Explore guides and tools for improving health.

What Works for Health

Explore programs and policies that work!

What can I learn from others?

Reports

Key findings from the last four 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.

Past Research Projects

Washington University in St. Louis and the Missouri Hospital Association

Reliable data for a wide variety of health metrics are available nationally, for states, and (of course) for counties, but smaller areas such as ZIP codes is another story. Washington University in St. Louis and the Missouri Hospital Association developed local measures of population health for Missouri counties using data available at the ZIP code level. Data collected by hospitals as well as market research data by Nielsen Claritas were combined and calculated in alignment with the CHR approach. When scaled up, these ZIP code rankings correlated with the County Health Rankings and show a path to refine the health snapshot at the local level.

Arizona State University

Arizona State University researchers using the Rankings data found that while community wealth does correlate with health, it is offset in some cases by the ways counties choose to invest, such as targeting resources to public health initiatives/policies and community health centers. The implications of this show that spending among existing public services may dramatically impact a community’s health.

New York Academy of Medicine

Using the Rankings data, the New York Academy of Medicine brought “big data” procedures (machine learning data mining techniques) to identify clusters of counties with different levels of health outcomes based on complex interactions of various health factors that may be related to these outcomes. These analyses offer a straightforward method which may help local county/city officials better design and calibrate actionable and tractable areas to target policies for local health improvement.

Drexel University

Whether through local health officers or media, news of a county’s ranking can spur change in the form of laws or regulations. But how does that happen? Drexel University’s research explored how the Rankings are used by communities, finding that rankings are useful for educating and raising awareness and are key for local health departments and groups with limited resources working to target their health improvement efforts. Another finding points to Rankings data as a helpful tool for engaging political officials on the need for broader action in partnership with those outside of healthcare when it comes to directing policy decisions that influence community health.

Washington State University and Clemson University, Healthways

Washington State University and Clemson University in collaboration with Healthways investigated the degree to which county-level factors influence the effect of economic stressors, such as job insecurity or living from one paycheck to the next, on individual well-being outcomes as measured by the nationally representative Gallup-Healthways Well-being Index. Financial and professional concerns have a big impact on psychological well-being and can reveal health impacts beyond just employment statistics. Initial findings suggest that in healthier counties, the effects of income-related stress are diminished while the effects of employment-related stress are magnified in such contexts. This might mean, for example, that in a healthier community experiencing job instability may affect a person’s social contacts or sense of identity and cause more stress compared to a person in a less healthy community.