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Health Statistics
33.3% of U.S. adults have obesity and 12.1% have diabetes. Compare 40 health measures for every county, city and ZIP code.
- Obesity
- 33.3%
- U.S. adults
- Diabetes
- 12.1%
- Current smoking
- 12.8%
- No health insurance
- 11.1%
- Ages 18 to 64
Obesity by state
Share of adults, U.S. average 33.3%. Darker states are higher. Select a state.
- Obesity
- Diabetes
- High blood pressure
- Smoking
- Depression
- Uninsured (18-64)
- Physical inactivity
- Annual checkup
- West Virginia40.7%
- Mississippi40.4%
- Louisiana40.0%
- Alabama39.4%
- Arkansas39.3%
- Oklahoma38.9%
- Indiana38.4%
- Wisconsin37.8%
- Iowa37.7%
- Nebraska37.7%
- Tennessee37.6%
- Ohio37.1%
- Kansas36.6%
- Missouri36.6%
- North Dakota36.6%
- Michigan36.3%
- South Dakota36.0%
- South Carolina35.8%
- Texas35.7%
- Alaska35.5%
- Delaware35.4%
- Georgia35.3%
- Maryland35.1%
- North Carolina35.1%
- Virginia34.5%
- New Mexico34.2%
- Illinois34.1%
- Wyoming33.8%
- Oregon33.7%
- Minnesota33.5%
- Maine32.8%
- Idaho32.2%
- Florida31.9%
- New Hampshire31.8%
- Rhode Island31.8%
- Montana31.5%
- Nevada31.4%
- Arizona31.3%
- Utah31.0%
- Washington30.8%
- Connecticut30.5%
- New Jersey28.9%
- New York28.9%
- Vermont28.7%
- California28.0%
- Massachusetts27.7%
- Colorado26.2%
- Hawaii25.6%
- District of Columbia24.7%
All measures, U.S. average
Population-weighted average of every county. Select a measure to map it.
Health outcomes
Prevention
Disability
Frequently asked questions
- What percentage of U.S. adults have obesity?
- About 33.3% of adults have obesity, based on CDC PLACES estimates averaged across all counties.
- Which state has the highest obesity rate?
- West Virginia has the highest rate (40.7%), followed by Mississippi (40.4%), Louisiana (40.0%), Alabama (39.4%). The lowest is District of Columbia (24.7%).
- Where do these numbers come from?
- They come from CDC PLACES, which uses the Behavioral Risk Factor Surveillance System survey and Census data to estimate health measures for every county, city, census tract and ZIP code. They are model-based estimates, not direct counts.
- Why can a small town's numbers look off?
- Estimates for small places rely more on the model and less on local survey answers, so they carry more uncertainty. Use them to compare broad patterns, not small differences.
Source: CDC PLACES: Local Data for Better Health · Last updated 12/01/2025 · 2025 release: 3,143 counties, 29,897 cities and towns, 32,520 ZIP codes.