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Healthiest Communities: How They Were Ranked

Take a look at the data and methods behind our rankings.

By U.S. News Staff March 26, 2019, at 12:01 a.m.
U.S. News & World Report

Healthiest Communities: How They Were Ranked

(Derek Davis/Portland Press Herald/Getty Images)

The Healthiest Communities rankings from U.S. News & World Report show how nearly 3,000 U.S. counties and county equivalents perform in 81 metrics across 10 health and health-related categories.

The broad framework of categories and subcategories is based on factors key to evaluating community health that were identified by the National Committee on Vital and Health Statistics – a policy advisory board to the head of the U.S. Department of Health and Human Services – as part of its Measurement Framework for Community Health and Well-Being. U.S. News adapted the NCVHS model in consultation with leading population health experts, resulting most notably in the inclusion of an equity category.

To determine the weights assigned to each category, more than a dozen experts in population health and well-being participated in an online survey in which they assessed each category's relative importance to community health. Each individual distributed 100 points across the 10 health and health-related categories, assigning more points to categories they perceived to be more important. The total points assigned to each category were then averaged to create final category weights. Subcategories were weighted equally within each category, as were 80 of the 81 individual metrics within each subcategory. One metric representing county residents' share of at-home food expenditures on fruit and vegetables was weighted double to correct for a cause-effect imbalance in the Nutrition subcategory.

The categories and subcategories in the Healthiest Communities framework, along with their weights, are:

Population Health: 14.2 percent

  • Access to Care
  • Health Behaviors
  • Health Conditions
  • Health Outcomes
  • Mental Health

Equity: 12.23 percent

  • Educational Equity
  • Health Equity
  • Income Equity
  • Social Equity

Education: 12.15 percent

  • Educational Achievement
  • Education Infrastructure
  • Education Participation

Economy: 11.1 percent

  • Employment
  • Income
  • Opportunity

Housing: 9.5 percent

  • Housing Affordability
  • Housing Capacity
  • Housing Quality

Food & Nutrition: 8.8 percent

  • Food Availability
  • Nutrition

Environment: 8.6 percent

  • Air & Water
  • Natural Environment
  • Natural Hazards

Public Safety: 8.5 percent

  • Crime
  • Injuries
  • Public Safety Capacity

Community Vitality: 7.6 percent

  • Community Stability
  • Social Capital

Infrastructure: 7.5 percent

  • Community Layout
  • Transportation

See below for a full list of the 81 individual metrics used.

Collecting the Data

U.S. News collaborated with the University of Missouri Center for Applied Research and Engagement Systems (CARES) – a research institution skilled in understanding natural resource systems, public health risks and community health assessment – to collect and analyze data.

County-level data were collected from well-recognized and validated sources including the Centers for Disease Control and Prevention, the Institute for Health Metrics and Evaluation, the U.S. Census Bureau, the Dartmouth Atlas of Health Care and the U.S. Environmental Protection Agency.

Publicly available data sets were prioritized, as were measures that were available for the great majority of U.S. counties and county equivalents in the 50 U.S. states.

County-type divisions known as boroughs in Alaska and parishes in Louisiana are included in the analysis, as are independent cities in Maryland, Missouri, Nevada and Virginia that are treated as county equivalents by the Census Bureau. The analysis also encompasses the District of Columbia. For simplicity, "county" or "counties" may be used in Healthiest Communities content to refer to all communities scored in the project.

Scoring the Communities

For each of the 81 metrics, raw values for each county were rescaled relative to the average among counties assessed for that metric using a z-score distribution. Outliers were capped at three standard deviations – or steps – away from the mean. After removing outliers beyond that threshold, remaining raw values were rescaled and capped at three standard deviations again. This resulted in ties in some metrics.

The average of a county's z-scores for each of the metrics within a subcategory created its score for that subcategory, with an exception in the Nutrition subcategory in which the metric measuring fruit and vegetable spending is weighted double. Taking the average of subcategory scores resulted in a county's category score.

A county's overall score was calculated using the average of category scores as weighted in collaboration with industry experts. The final rankings of the 500 Healthiest Communities in the U.S. are based on this overall score.

Metric, subcategory and category z-scores also were translated to an index score in which the top-performing counties received 100 points, the bottom-performing counties received scores starting at zero points and other counties were indexed proportionately.

Counties missing data for at least half of the metrics within a subcategory were not scored in that subcategory, and counties missing data for at least half of the subcategories within a category were not scored in that category.

Counties missing data for eight or more total metrics or two or more total subcategories were excluded from the analysis, as were counties with populations of fewer than 2,000 people for statistical considerations. This resulted in a total of 2,891 counties or county equivalents assessed of the 3,142 across the U.S.

Creating Fair Comparisons

In addition to the overall national comparison, counties were placed into peer groups to allow communities to be evaluated against more fairly competitive benchmarks. These peer groups were based on their urban-rural status as tied to population density and the robustness of their economies.

The four peer groups – with economic performance described as either "high-performing" or "up-and-coming" – are titled:

Urban-rural distinction was based on government standards applied to Census Bureau data. Counties were considered urban if they were metropolitan or micropolitan – areas with substantial central populations and integrated adjacent communities – and were home to at least 20 people per square mile. All other counties were considered rural.

The economic distinction was based on the Economy category in the Healthiest Communities rankings, which includes measures of household income, public assistance income, unemployment, labor force participation, weekly wages, employment diversity, job proximity and business growth. Communities were designated as "high-performing" throughout the Healthiest Communities platform if they scored in the top half of this category within their urban-rural classification. In the top 100 peer group rankings, "up-and-coming" applies to communities that did not score in the top 50 percent of economies, but did outperform other communities sharing their urban or rural status. Overall, "up-and-coming" also is meant to designate communities that have more room to build and strengthen their economies, but that may face more complex challenges or have fewer resources available compared with others.

Learn More

See the answers to some frequently asked questions here, and contact healthiestcommunities@usnews.com to reach U.S. News.

Special Thanks

The Healthiest Communities analytics team consisted of Chris Fulcher, director of the Center for Applied Research and Engagement Systems at the University of Missouri; Chris Barnett, assistant CARES director; and CARES geographic information systems specialist Angela Johnson, who carried out much of the analysis.

U.S. News also is grateful for the critical role played by Monte Roulier, president of the Colorado-based Community Initiatives and co-founder of the Community Commons platform, who helped define project objectives and establish a meaningful framework with achievable goals.

U.S. News additionally would like to acknowledge vital contributions made by Dr. Robert Phillips, vice president for research and policy at the American Board of Family Medicine, and Bruce Cohen, a member of the National Committee on Vital and Health Statistics. Phillips and Cohen co-chair the NCVHS Subcommittee on Population Health, which created the framework that formed the foundation for the U.S. News Healthiest Communities analysis.

The Healthiest Communities platform would not exist without the generous support of the Aetna Foundation, an independent charitable and philanthropic affiliate of CVS Health, and its dedication to community health improvement. The foundation's president, Dr. Garth Graham, and his team played an essential role in assuring the project fairly assessed communities throughout the United States, including those with the greatest challenges.

The 81 metrics used to determine America's Healthiest Communities, along with their applicable categories and subcategories follow below. Population values used for rates are from the 2010 decennial U.S. Census.

POPULATION HEALTH:
Access to Care

  • Hospital Bed Availability: Reflects the number of CMS-certified beds within active hospitals per 1,000 total population (2018; Centers for Medicare and Medicaid Services)
  • Population With No Health Insurance: Reflects the percentage of the total population without medical insurance (2016; U.S. Census Bureau)
  • Primary Care Doctor Availability: Reflects the number of primary care physicians per 100,000 total population (2016; U.S. Department of Health and Human Services)

Health Behaviors

  • Adults With No Leisure-Time Physical Activity: Reflects the percentage of adults who did not participate in leisure-time physical activities or exercise within a past month (2015; Centers for Disease Control and Prevention)
  • Medicare Beneficiaries With Recent Primary Care Visit: Reflects the percentage of Medicare beneficiaries with at least one primary care visit within the past one year (2015; Dartmouth Atlas of Health Care)
  • Smoking Rate: Reflects the percentage of adults age 18 and older who smoke (2016; Centers for Disease Control and Prevention, via University of Wisconsin County Health Rankings & Roadmaps)

Health Conditions

  • Cancer Prevalence: Reflects the average annual age-adjusted incidence rate of new cancer diagnoses per 100,000 population (2011-2015; Centers for Disease Control and Prevention, National Institutes of Health)
  • Heart Disease Prevalence Among Medicare Beneficiaries: Reflects the percentage of Medicare beneficiaries diagnosed with heart disease (2016; Centers for Medicare and Medicaid Services)
  • Preventable Hospital Admissions: Reflects the rate of hospitalizations per 1,000 Medicare beneficiaries for preventable conditions like asthma, diabetes, dehydration and pneumonia (2016; Centers for Medicare and Medicaid Services)

Health Outcomes

  • Adults in Poor or Fair General Health: Reflects the percentage of adults who self-reported having fair or poor general health (2016; Centers for Disease Control and Prevention, via University of Wisconsin County Health Rankings & Roadmaps)
  • Babies Born With Low Birth Weight: Reflects the percentage of live births where the infant weighed less than 2,500 grams, or about 5.5 pounds (2010-2016; Centers for Disease Control and Prevention, via University of Wisconsin County Health Rankings & Roadmaps)
  • Life Expectancy: Reflects the average life expectancy at birth for the population in each county (2014; University of Washington Institute for Health Metrics and Evaluation)
  • Teen Birth Rate: Reflects the number of births to teen moms per 1,000 females ages 15 to 19 (2016; Centers for Disease Control and Prevention)

Mental Health

  • Deaths of Despair: Reflects the rate of deaths due to suicide, alcohol-related disease and drug overdoses per 100,000 population (2010-2016; Centers for Disease Control and Prevention)
  • Medicare Beneficiaries With Depression: Reflects the percentage of Medicare beneficiaries diagnosed with depression (2016; Centers for Medicare and Medicaid Services)
  • Poor Mental Health Days per Month: Reflects the average number of days per month that mental health is "not good," according to self-reported survey responses among adults (2016; Centers for Disease Control and Prevention, via University of Wisconsin County Health Rankings & Roadmaps)

EQUITY:
Educational Equity

  • Racial Disparity in Educational Attainment: Reflects the relative difference or disparity across racial/ethnic groups in attainment of a bachelor's degree or higher by adults 25 and older. A higher score on a scale of zero to 1 reflects more disparity. The following population subgroups are used in the calculation: non-Hispanic white; Hispanic or Latino; and black or African-American. (2012-2016 American Community Survey 5-year estimates; U.S. Census Bureau)
  • Neighborhood Disparity in Educational Attainment: Reflects the relative difference or disparity in attainment of a bachelor's degree or higher by adults 25 and older across census block groups, with a higher value reflecting more disparity (2012-2016 American Community Survey 5-year estimates; U.S. Census Bureau)

Health Equity

  • Air Toxics Exposure Disparity Index Score: Reflects information about the relative difference or disparity in air pollution exposure across racial/ethnic population groups, with zero representing more equality on a scale of zero to 100. The following four racial/ethnic categories are included: non-Hispanic white; Hispanic or Latino; black or African-American; and other race. (2014; U.S. Environmental Protection Agency)
  • Premature Death Disparity Index Score: Reflects information about the disparity in deaths that occur before age 65 across racial/ethnic groups. Zero represents perfect equality on a scale of zero to 1. The following population subgroups are used in the calculation: non-Hispanic white; Hispanic or Latino; and black or African-American. (2010-2016; Centers for Disease Control and Prevention)

Income Equity

  • Gini Index Score: Reflects income inequality through an index score in which zero represents perfect equality on a scale of zero to 1 (2012-2016 American Community Survey 5-year estimates; U.S. Census Bureau)
  • Racial Disparity in Poverty: Reflects the relative difference or disparity in poverty rates across racial/ethnic population groups, with zero representing perfect equality on a scale of zero to 1. The following population subgroups are used in the calculation: non-Hispanic white; Hispanic or Latino; and black or African-American. (2012-2016 American Community Survey 5-year estimates; U.S. Census Bureau)
  • Neighborhood Disparity in Poverty: Reflects the relative difference or disparity in poverty rates across census tracts, with a higher value reflecting more disparity (2012-2016 American Community Survey 5-year estimates; U.S. Census Bureau)

Social Equity

  • Disability Employment Gap: Reflects the relative disparity in unemployment rates between the total population and the disabled population, with a higher score reflecting more disparity (2012-2016 American Community Survey 5-year estimates; U.S. Census Bureau)
  • Segregation Index Score: Reflects racial segregation using the Theil Index, in which a score of 1 indicates a more diverse society and a score of zero indicates less diversity. Population groups used in the measurement are non-Hispanic white, non-Hispanic black, non-Hispanic Asian, non-Hispanic American Indian/Alaska Native, non-Hispanic Native Hawaiian/Pacific Islander, and Hispanic or Latino. (2010, U.S. Census Bureau)

EDUCATION:
Educational Achievement

  • Children Meeting Standards in Grade 4 ELA: Reflects the percentage of fourth-grade students who performed at or above the "proficient" level on English Language Arts standardized tests (2016-2017; U.S. Department of Education)
  • High School Graduation Rate: Reflects the cohort graduation rate (2015-2016; U.S. Department of Education)
  • Population With Advanced Degree: Reflects the percentage of the population age 25 and older with an associate, bachelor's, master's, professional or doctorate degree (2012-2016 American Community Survey 5-year estimates; U.S. Census Bureau)

Education Infrastructure

  • Access to Child Care Facilities: Reflects the number of Head Start and Early Head Start facilities located in or within 0.5 miles of a county boundary per 100,000 population (2018; U.S. Department of Health and Human Services Administration for Children and Families)
  • Per-Pupil Expenditures: Reflects per-pupil expenditures in public elementary and secondary schools (2014-2015; U.S. Department of Education National Center for Education Statistics)
  • Youth Within 5 Miles of a Public School: Reflects the percentage of youths ages 5 to 19 living within 5 miles of a public elementary school, middle school or secondary school (2016-2017; U.S. Department of Education National Center for Education Statistics)

Education Participation

  • Continuing Education Tax Credits as Share of Total Tax Filings: Reflects the number of tax returns claiming adult education tax credits as a percentage of total filed tax returns (2014; Brookings Institution)
  • Idle Youth (Not Working or Enrolled): Reflects the percentage of youths ages 16 to 19 not enrolled in school and not working (2012-2016 American Community Survey 5-year estimates; U.S. Census Bureau)
  • Preschool Enrollment: Reflects the percentage of children ages 3 to 4 enrolled in school (2012-2016 American Community Survey 5-year estimates; U.S. Census Bureau)

ECONOMY:
Employment

  • Average Weekly Wage: Reflects average weekly wage among employees in a given county based on average annual wages divided by 52 weeks (2017; U.S. Department of Labor Bureau of Labor Statistics)
  • Labor Force Participation: Reflects the number of persons in the labor force as a percentage of the total civilian population (2012-2016 American Community Survey 5-year estimates; U.S. Census Bureau)
  • Unemployment Rate: Reflects the number of unemployed persons as a percentage of the total civilian labor force (2017; U.S. Department of Labor Bureau of Labor Statistics)

Income

  • Households Receiving Public Assistance Income: Reflects the number of households receiving public assistance income as a percentage of total occupied households (2012-2016 American Community Survey 5-year estimates; U.S. Census Bureau)
  • Median Household Income: Reflects median household income (2012-2016 American Community Survey 5-year estimates; U.S. Census Bureau)
  • Poverty Rate: Reflects the percentage of the population below the federal poverty line (2012-2016 American Community Survey 5-year estimates; U.S. Census Bureau)

Opportunity

  • Business Growth Rate: Reflects the annual number of new businesses as a percentage of total businesses in a community (2014-2015; U.S. Census Bureau)
  • Job Diversity Index Score: Reflects whether jobs in a community exist in a variety of industries on a 0 to 1 scale; 1 means most diverse (2012-2016 American Community Survey 5-year estimates; U.S. Census Bureau)
  • Jobs Within a 45-Minute Commute: Reflects the number of jobs within a 45-minute commute via automobile, representing the accessibility from residences to jobs (2011; U.S. Environmental Protection Agency)

HOUSING:
Housing Affordability

  • Change in Housing Value: Reflects the percentage change in median home value between five-year periods (2007-2011/2012-2016 American Community Survey 5-year estimates; U.S. Census Bureau)
  • Households Spending Over 30 Percent of Income on Housing: Reports the percentage of cost-burdened households, where housing costs (mortgage or rent, utilities, taxes and other costs) exceed 30 percent of total household income (2012-2016 American Community Survey 5-year estimates; U.S. Census Bureau)
  • Work Hours Needed to Pay for Affordable Housing: Reflects the number of hours a worker earning the average hourly wage in their county would need to work to afford a one-bedroom rental unit at HUD-estimated Fair Market Rents rates while spending no more than 30 percent of their income on housing costs (2017; National Low Income Housing Coalition)

Housing Capacity

  • Affordable Housing Shortfall: Reflects the availability of affordable housing for families that earn less than 50 percent of median family income. Negative numbers indicate a shortfall; positive numbers indicate greater supply than demand. (2012-2016 American Community Survey 5-year estimates; U.S. Census Bureau)
  • Overcrowded Households: Reflects the number of housing units with occupancy greater than 1 person per room as a percentage of total occupied housing units (2012-2016 American Community Survey 5-year estimates; U.S. Census Bureau)

Housing Quality

  • Households With Incomplete Plumbing Facilities: Reflects the percentage of total housing units that do not have both hot and cold running water and a bathtub or shower inside the house (2012-2016 American Community Survey 5-year estimates; U.S. Census Bureau)
  • Vacant Houses: Reflects the percentage of vacant residential addresses (2018; U.S. Department of Housing and Urban Development, U.S. Postal Service)

FOOD & NUTRITION:
Food Availability

  • Food Environment Index Score: Reflects the share of total food retailers that are considered healthy based on size and typical food offerings. Healthy retailers include supermarkets, produce markets and warehouse clubs, while less healthy retailers include fast-food restaurants and convenience stores. Negative index values indicate the absence of food retailers. (2016; U.S. Census Bureau ZIP Code Business Patterns, CARES)
  • Local Food Outlets: Reflects number of local food outlets – including farmers markets, community-supported agriculture sites, food hubs and on-farm markets – per 100,000 total population (2018; U.S. Department of Agriculture)
  • Population Without Access to Large Grocery Store: Reflects the percentage of individuals living more than 1 mile (urban areas) or 10 miles (rural areas) from the nearest supermarket, supercenter or large grocery store (2015; U.S. Department of Agriculture)

Nutrition

  • Diabetes Prevalence: Reflects county-level percentages of diagnosed diabetes among adults, based on self-reported diagnoses (2015; Centers for Disease Control and Prevention)
  • Obesity Prevalence: Reflects county-level percentages of obesity among adults based on body mass index of 30 or greater, calculated from self-reported height and weight (2015; Centers for Disease Control and Prevention)
  • Share of Food-at-Home Expenditures on Fruit/Veg: Reflects the percentage of at-home food spending on fruit and vegetables (2014; Nielsen)

ENVIRONMENT:
Air & Water

  • Air-Quality Hazard: Index score representing the potential risk of developing serious respiratory complications such as chronic obstructive pulmonary disease over the course of a lifetime, assuming continuous exposure; below 1 is considered minimal risk (2014; U.S. Environmental Protection Agency)
  • Airborne Cancer Risk: Represents the probability of contracting cancer over the course of a lifetime per 1 million population, assuming continuous exposure (2014; U.S. Environmental Protection Agency)
  • Unsafe Drinking Water Exposure: Reflects the percentage of the population potentially exposed to a drinking water system that violated EPA standards (2013-2014; U.S. Environmental Protection Agency, via University of Wisconsin County Health Rankings & Roadmaps)

Natural Environment

  • Area With Tree Canopy: Reflects the percentage of land area covered by tree canopy, weighted by population (2011; Multi-Resolution Land Cover Characteristics Consortium, U.S. Forest Service)
  • Natural Amenities Index Score: Reflects a natural amenities scale measuring the natural physical environment qualities that most people prefer and change minimally over time; index range is -6 to 12 (1999; U.S. Department of Agriculture)
  • Population Within 0.5 Mile of a Park: Reflects the percentage of the total county population living within a half-mile of a park boundary (2010/2011/2012/2015; Esri, OpenStreetMap, U.S. Geological Survey, U.S. Census Bureau)

Natural Hazards

  • Extreme Heat Days per Year: Reports the relative annual number of high heat days (days above the 95th percentile for heat index values) (2014-2016; Centers for Disease Control and Prevention)
  • Households in Flood Hazard Zone: Reflects the percentage of households in a flood hazard area (2010/2011; Federal Emergency Management Agency, Centers for Disease Control and Prevention, U.S. Census Bureau)
  • Toxic Release Index Score: Represents the potential for chronic human health risk from exposure to toxic chemicals relative to other communities. Zero is best. (2016; U.S. Environmental Protection Agency)

PUBLIC SAFETY:
Crime

  • Property Crime Rate: Reflects the number of property crimes per 100,000 total population, including burglary, larceny-theft, motor vehicle theft and arson (2012-2014; U.S. Department of Justice Federal Bureau of Investigation, National Archive of Criminal Justice Data)
  • Violent Crime Rate: Reflects the number of violent crimes per 100,000 total population, including murder and nonnegligent manslaughter, forcible rape, robbery and aggravated assault (2012-2014; U.S. Department of Justice Federal Bureau of Investigation, National Archive of Criminal Justice Data)

Injuries

  • Homicide Rate: Reflects the age-adjusted number of homicide fatalities per 100,000 population (2011-2015; Centers for Disease Control and Prevention)
  • Vehicle Crash Fatality Rate: Reflects the age-adjusted number of motor vehicle crash fatalities per 100,000 total population (2011-2015; Centers for Disease Control and Prevention)

Public Safety Capacity

  • First Responders in Population: Reflects employment in emergency services professions – including paramedics, firefighters, police officers and others – as a share of total population (2012-2016 American Community Survey 5-year estimates; U.S. Census Bureau)
  • Per Capita Spending on Police and Fire Protection: Reflects local government expenditures in dollars per capita on emergency services (local fire protection and local police protection) (2012; U.S. Census Bureau)
  • Population Living Close to Emergency Facilities: Reports the percentage of the total population living within 5 miles of a fire station or a hospital with an emergency room (2017/2018; Centers for Medicare and Medicaid Services, U.S. Geological Survey)

COMMUNITY VITALITY:
Community Stability

  • Homeownership Rate: Reflects the number of owner-occupied housing units as a percentage of total occupied housing units, which includes owner-occupied and renter-occupied units (2012-2016 American Community Survey 5-year estimates; U.S. Census Bureau)
  • Net Migration Rate: Reflects the net migration rate for U.S. counties between 2006 and 2016, expressed as a percent change (2006-2016; Internal Revenue Service)

Social Capital

  • Nonprofits: Reflects the rate of social services organizations with 501(c)(3) status per 100,000 total population (2018; Internal Revenue Service)
  • Voter Participation Rate: Reflects the total number of votes cast in the 2016 presidential election as a percentage of total voting-age citizens (2016, Townhall.com/GitHub, U.S. Census Bureau)

INFRASTRUCTURE:
Community Layout

  • Households With Internet Access: Reflects the percentage of the population with access to at least one broadband provider with an internet download speed of at least 25 megabits per second and an upload speed of at least 3 megabits per second (2017; Federal Communications Commission)
  • Population Within 0.5 Mile of Walkable Destinations: Reflects the percentage of the total county population living within a half-mile of a destination such as a library, museum or playground (2015/2016; Institute of Museum and Library Services, OpenStreetMap)
  • Walkability Index Score: Reflects a county's index score ranging from 1 to 20 (higher is better) on measures of walkable streets, including pedestrian-oriented intersections and the diversity of area businesses (2010-2012; U.S. Environmental Protection Agency)

Transportation

  • Households With No Vehicle: Reflects the percentage of households in a county that do not have access to a personal vehicle at home (2012-2016 American Community Survey 5-year estimates; U.S. Census Bureau)
  • Workers Commuting 60 Minutes or More: Reflects the percentage of workers who commute for 60 minutes or longer (2012-2016 American Community Survey 5-year estimates; U.S. Census Bureau)

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in collaboration with
Healthiest Communities is an interactive destination for consumers and policymakers, developed by U.S. News & World Report in collaboration with the Aetna Foundation, an independent charitable and philanthropic affiliate of CVS Health. Backed by in-depth research and accompanied by news and analysis, the site features comprehensive rankings drawn from an examination of nearly 3,000 counties and county equivalents on 81 metrics across 10 categories, informing residents, health care leaders and officials about local policies and practices that drive better health outcomes for all. Data were gathered and analyzed by the University of Missouri Center for Applied Research and Engagement Systems (CARES).