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Obesity in West Virginia
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West Virginia
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Explore national- and state-level data for hundreds of health, environmental and socioeconomic measures, including background information about each measure. Use features on this page to find measures; view subpopulations, trends and rankings; and download and share content.

West Virginia Value:

41.4 %

Percentage of adults who have a body mass index of 30.0 or higher based on reported height and weight

West Virginia Rank:

49

Value and rank based on data from 2024

Obesity in depth:

Additional Measures:

Obesity - Age 65+
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Obesity - Women
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Overweight or Obesity - Children
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Explore Population Data:

Appears In:

Annual Report
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Obesity by State: Hispanic

Percentage of Hispanic adults (all races) who have a body mass index of 30.0 or higher based on reported height and weight

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Obesity in

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Obesity Trends in
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State Data
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Data from U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, Behavioral Risk Factor Surveillance System, 2024

25.3% - 31.4%

31.5% - 34.9%

35.0% - 37.3%

37.4% - 38.9%

39.0% - 46.4%

No Data

• Data Unavailable
Top StatesRankValue
Vermont
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125.3 %
Florida
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228.6 %
Montana
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328.9 %
Your StateRankValue
Maryland
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3438.0 %
Iowa
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West Virginia
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3538.2 %
North Carolina
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3738.4 %
Bottom StatesRankValue
North Dakota
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4742.5 %
Alaska
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4843.2 %
South Dakota
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4946.4 %

Obesity: Hispanic

Vermont
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125.3 %
Florida
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228.6 %
Montana
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328.9 %
Alabama
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430.1 %
Maine
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430.1 %
Mississippi
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630.2 %
Virginia
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730.6 %
Delaware
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831.3 %
New Jersey
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931.4 %
Wyoming
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1031.5 %
Colorado
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1132.4 %
South Carolina
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1132.4 %
Massachusetts
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1333.0 %
Ohio
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1433.8 %
Missouri
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1534.0 %
Kentucky
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1634.4 %
New York
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1734.7 %
Idaho
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1834.8 %
New Hampshire
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1934.9 %
Hawaii
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2035.0 %
Oregon
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2135.1 %
Arkansas
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2235.9 %
Minnesota
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2235.9 %
Indiana
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2436.0 %
Georgia
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2536.2 %
Wisconsin
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2636.3 %
Washington
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2736.4 %
California
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2837.3 %
Connecticut
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2837.3 %
Rhode Island
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3037.4 %
Illinois
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3137.5 %
Texas
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3237.7 %
Utah
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3337.8 %
Maryland
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3438.0 %
Iowa
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3538.2 %
West Virginia
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3538.2 %
North Carolina
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3738.4 %
Michigan
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3838.7 %
Arizona
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3938.9 %
Pennsylvania
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3938.9 %
Nebraska
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4139.1 %
Oklahoma
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4239.5 %
New Mexico
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4339.9 %
Nevada
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4440.4 %
Kansas
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4540.5 %
Louisiana
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4641.2 %
North Dakota
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4742.5 %
Alaska
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4843.2 %
South Dakota
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4946.4 %
United States
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•35.9 %
District of Columbia
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•30.1 %
Tennessee
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[3]
••
• Data Unavailable
[3] Data is missing in the source files
Source:
  • U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, Behavioral Risk Factor Surveillance System, 2024

Obesity Trends by Race/Ethnicity

Percentage of adults who have a body mass index of 30.0 or higher based on reported height and weight

Compare States
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About Obesity

US Value: 34.2 %

Top State(s): Colorado: 25.0 %

Bottom State(s): West Virginia: 41.4 %

Definition: Percentage of adults who have a body mass index of 30.0 or higher based on reported height and weight

Data Source and Years(s): U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, Behavioral Risk Factor Surveillance System, 2024

Suggested Citation: America's Health Rankings analysis of U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, Behavioral Risk Factor Surveillance System, United Health Foundation, AmericasHealthRankings.org, accessed 2026.

Obesity is a complex health condition with biological, economic, environmental, individual and societal causes. Contributing factors to obesity include social and physical environment, genetics, and behaviors such as poor diet and physical inactivity.

Adults with obesity are at an increased risk of developing serious health conditions, including hypertension, Type 2 diabetes, heart disease and stroke, sleep apnea and breathing problems, some cancers, and mental illnesses like depression and anxiety.

A 2017 study estimated the annual medical cost of obesity in the United States at nearly $173 billion. 

While body mass index (BMI) can serve as an easily accessible proxy for obesity at the population level, it has its limitations. BMI does not distinguish between excess fat and muscle or bone mass, and the relationship between BMI and body fat is influenced by sex, age and ethnicity. Further, it does not capture the complexity of human health. For example, individuals can have a high BMI and good cardiovascular health, while others can have a “healthy” or “normal” BMI and poor cardiovascular health. The American Medical Association adopted a policy in 2023 that addressed the shortcomings of BMI as a clinical health measure and recommended using it alongside other valid measures, such as body composition. 

Additionally, weight stigma — also known as weight-based discrimination or weight bias — can have many negative impacts, including mood and anxiety disorders and avoidance of exercise. Weight stigma is pervasive in health care, with reports of medical professionals spending less time with higher-weight patients, engaging in less education and even being reluctant to perform certain procedures on patients with a higher BMI. Weight stigma in the clinical environment can make individuals feel uncomfortable or marginalized, resulting in avoidance of seeking health care.

According to America’s Health Rankings data, the prevalence of obesity is higher among:

  • Women compared with men. 
  • Adults ages 45-64 compared with adults age 65 and older and adults ages 18-44.
  • Black and American Indian/Alaska Native adults compared with Asian, other race and white adults.
  • Adults with less than a college education compared with college graduates. 
  • Adults with an annual household income less than $25,000 compared with those with incomes of $150,000 or more.
  • Adults living in nonmetropolitan areas compared with those in metropolitan areas.
  • Adults who have difficulty with mobility compared with adults without a disability.

Addressing obesity requires a multifaceted approach involving policymakers, state and local governments, health care and child care professionals, schools, families and individuals. The Centers for Disease Control and Prevention (CDC) identifies prevention strategies for the state, local and community levels, as well as tips for living a healthy lifestyle. 

The Community Preventive Services Task Force has compiled a list of resources for community-level interventions that can lower obesity rates by supporting healthy eating and active living in various settings. 

Examples of policy recommendations that address obesity include: 

  • Increasing funding for evidence-based obesity prevention programs to reach underserved and high-risk communities.
  • Supporting pedestrian safety and accessibility initiatives like Safe Routes to School and Complete Streets, which can encourage walking and outdoor physical activity. 
  • Expanding Medicaid coverage for obesity-related health services and increasing eligibility to give more people access to health insurance. 

The Healthy Weight Checklist can be a practical and/or educational resource for maintaining healthy habits. It provides information on eating healthy, getting enough sleep and physical activity, limiting screen time and reducing stress.

The Food and Drug Administration (FDA) approved a class of drugs called GLP-1 agonists that can help manage obesity. These medications reduce appetite and hunger, leading to decreased food intake and, often, weight loss. They work best when used along with lifestyle changes.

Healthy People 2030 has several objectives related to weight and nutrition, including:

  • Reducing the proportion of adults with obesity. 
  • Reducing consumption of added sugars.
  • Increasing the proportion of adults who walk or bike to get places.

Biener, Adam, John Cawley, and Chad Meyerhoefer. “The High and Rising Costs of Obesity to the US Health Care System.” Journal of General Internal Medicine 32, no. S1 (April 2017): 6–8. https://doi.org/10.1007/s11606-016-3968-8.

Gutin, Iliya. “In BMI We Trust: Reframing the Body Mass Index as a Measure of Health.” Social Theory & Health 16, no. 3 (August 2018): 256–71. https://doi.org/10.1057/s41285-017-0055-0.

Tomiyama, A. Janet, Deborah Carr, Ellen M. Granberg, Brenda Major, Eric Robinson, Angelina R. Sutin, and Alexandra Brewis. “How and Why Weight Stigma Drives the Obesity ‘Epidemic’ and Harms Health.” BMC Medicine 16, no. 1 (December 2018): 123. https://doi.org/10.1186/s12916-018-1116-5.

Tomiyama, A. Janet, J. M. Hunger, J. Nguyen-Cuu, and C. Wells. “Misclassification of Cardiometabolic Health When Using Body Mass Index Categories in NHANES 2005–2012.” International Journal of Obesity 40, no. 5 (May 2016): 883–86. https://doi.org/10.1038/ijo.2016.17.

Warren, Molly, and Madison West. The State of Obesity 2025: Better Policies for a Healthier America. Trust for America’s Health, October 2025.https://www.tfah.org/wp-content/uploads/2025/10/TFAH-2025-ObesityReport-Fnl.pdf.

Related Measures

Cancer
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Cardiovascular Diseases
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Diabetes
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Exercise
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Food Insecurity
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Frequent Physical Distress
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Fruit and Vegetable Consumption
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High Blood Pressure
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High Cholesterol
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High Health Status
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Multiple Chronic Conditions
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Overweight or Obesity - Children
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Physical Inactivity
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Premature Death
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Current Reports

America’s Health Rankings builds on the work of the United Health Foundation to draw attention to public health and better understand the health of various populations. Our platform provides relevant information that policymakers, public health officials, advocates and leaders can use to effect change in their communities.

We have developed detailed analyses on the health of key populations in the country, including women and children, seniors and those who have served in the U.S. Armed Forces, in addition to a deep dive into health disparities across the country.

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Latest data provide an overview of challenges and successes across the health of women and children at the national and state levels over time.

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Measuring the breadth, depth and persistence of key maternal and infant health disparities by demographic group and at the state level.

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    Longest running annual assessment of the nation’s health on a state-by-state basis. The 36th edition features 99 measures across health outcomes and their drivers.

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    A portrait of the health and well-being of adults age 65 and older in the United States — with over a decade of data.

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    Latest data provide an overview of challenges and successes across the health of women and children at the national and state levels over time.

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