Measures › Health outcomes › Obesity
Health outcomes · BRFSS 2023
Obesity among adults
US estimate 32.8% (95% interval 32.4–33.1), age-adjusted 32.9% (32.5–33.2). Published in the 2022, 2023, 2024, 2025 releases.
- Population: All Adults
- Case definition period: Current
- Prevalence (crude and age-adjusted)
Obesity among adults: CDC's PLACES 2025 release estimates 32.8% nationally (95% confidence interval 32.4–33.1%), or 32.9% age-adjusted, from 2023 BRFSS responses.
Across the 2,956 counties with a 2025 estimate, the median county is 37.9% and the middle half of counties fall between 34.9% and 40.4%; the full range runs from 16.7% to 52.9%. Population-weighted state figures computed by this site (no interval) range from 24.7% (District of Columbia) to 40.6% (West Virginia).
CDC advises that areas may be compared on individual measures but that the estimates should not be used to rank overall health; the county lists below are ordered by point estimate and every row carries its 95% confidence interval.
CDC's definition
A multi-level regression and post-stratification approach was applied to BRFSS and ACS data to compute a detailed probability among respondents aged ≥18 years who have a body mass index (BMI) ≥30.0 kg/m² calculated from self-reported weight and height. Exclude the following: Height: data from respondents measuring <3 ft or ≥8 ft Weight: data from respondents weighing <50 lbs or ≥650 lbs BMI: data from respondents with BMI <12 kg/m2 or ≥100 kg/m2 The probability was then applied to the detailed population estimates at the appropriate geographic level to generate the prevalence. The 95% confidence interval was derived using Monte Carlo simulation.
CDC's notes: Self-reports of height and weight lead to lower BMI estimates compared to estimates obtained when height and weight are measured.
Quoted from CDC's PLACES measure definitions (cdc.gov/places/measure-definitions). BRFSS is the Behavioral Risk Factor Surveillance System, the telephone survey the model is trained on.
National distribution across counties
Crude county point estimates in the 2025 release, 24 equal bins. Deciles: 10th 31.2%, 25th 34.9%, median 37.9%, 75th 40.4%, 90th 42.8%. Counties without a 2025 estimate (Kentucky, Pennsylvania and the states without the social-needs module) are excluded here.
By state
Crude prevalence is the estimated share of all adults. Age-adjusted prevalence is standardised to the 2000 US standard population so that areas with different age structures can be compared. CDC: "Age-adjusted estimates are only available at the county and place-level."
| State | State figure, crude (site aggregate) | Lowest county | Highest county | Counties |
|---|---|---|---|---|
| West Virginia | 40.6% | 31.9% | 46.7% | 55 |
| Mississippi | 40.4% | 34.4% | 52.4% | 82 |
| Louisiana | 40.0% | 34.4% | 51.2% | 64 |
| Alabama | 39.4% | 31.7% | 52.9% | 67 |
| Arkansas | 39.3% | 34.5% | 48.4% | 75 |
| Oklahoma | 38.9% | 33.9% | 47.1% | 77 |
| Indiana | 38.4% | 27.9% | 47.4% | 92 |
| Kentucky (2024 release) | 38.3% | 33.7% | 46.6% | 120* |
| Iowa | 37.7% | 30.4% | 44.1% | 99 |
| Nebraska | 37.7% | 33.1% | 45.4% | 93 |
| Wisconsin | 37.7% | 30.0% | 46.0% | 72 |
| Tennessee | 37.6% | 29.4% | 47.2% | 95 |
| Ohio | 37.1% | 31.5% | 45.8% | 88 |
| Missouri | 36.6% | 29.8% | 47.6% | 115 |
| Kansas | 36.5% | 26.4% | 44.0% | 105 |
| North Dakota | 36.5% | 33.8% | 50.2% | 53 |
| Michigan | 36.2% | 27.5% | 44.3% | 83 |
| South Dakota | 35.9% | 30.4% | 49.3% | 66 |
| South Carolina | 35.8% | 29.6% | 46.7% | 46 |
| Texas | 35.6% | 29.4% | 47.5% | 253 |
| Alaska | 35.5% | 29.8% | 46.5% | 30 |
| Delaware | 35.3% | 33.4% | 43.5% | 3 |
| Georgia | 35.2% | 27.7% | 45.6% | 159 |
| Maryland | 35.1% | 26.1% | 42.2% | 24 |
| North Carolina | 35.1% | 28.0% | 47.9% | 100 |
| Virginia | 34.5% | 24.0% | 46.6% | 133 |
| New Mexico | 34.1% | 25.4% | 41.3% | 33 |
| Illinois | 34.0% | 29.2% | 45.6% | 102 |
| Pennsylvania (2024 release) | 33.8% | 29.6% | 39.7% | 67* |
| Wyoming | 33.7% | 24.0% | 38.6% | 23 |
| Oregon | 33.6% | 25.9% | 43.4% | 36 |
| Minnesota | 33.5% | 27.1% | 43.8% | 87 |
| Maine | 32.7% | 26.7% | 40.0% | 16 |
| Idaho | 32.1% | 23.1% | 39.0% | 44 |
| Florida | 31.9% | 25.8% | 44.6% | 67 |
| New Hampshire | 31.8% | 25.8% | 36.4% | 10 |
| Rhode Island | 31.7% | 25.6% | 33.4% | 5 |
| Montana | 31.4% | 23.0% | 41.1% | 56 |
| Arizona | 31.3% | 23.6% | 38.4% | 15 |
| Nevada | 31.3% | 27.1% | 39.7% | 17 |
| Utah | 31.0% | 19.8% | 37.6% | 29 |
| Washington | 30.6% | 22.6% | 40.5% | 39 |
| Connecticut | 30.5% | 24.7% | 33.4% | 9 |
| New Jersey | 28.9% | 22.8% | 40.4% | 21 |
| New York | 28.8% | 19.2% | 41.8% | 62 |
| Vermont | 28.6% | 22.7% | 36.9% | 14 |
| California | 27.8% | 17.2% | 37.7% | 58 |
| Massachusetts | 27.7% | 22.2% | 34.9% | 14 |
| Colorado | 26.1% | 16.7% | 34.6% | 64 |
| Hawaii | 25.6% | 23.9% | 38.5% | 5 |
| District of Columbia | 24.7% | 24.7% | 24.7% | 1 |
| State | State figure, age-adjusted (site aggregate) | Counties |
|---|---|---|
| West Virginia | 40.8% | 55 |
| Mississippi | 40.7% | 82 |
| Louisiana | 40.1% | 64 |
| Alabama | 39.6% | 67 |
| Arkansas | 39.6% | 75 |
| Oklahoma | 39.3% | 77 |
| Indiana | 38.6% | 92 |
| Kentucky (2024 release) | 38.4% | 120* |
| Iowa | 38.2% | 99 |
| Nebraska | 38.1% | 93 |
| Wisconsin | 37.9% | 72 |
| Tennessee | 37.6% | 95 |
| North Dakota | 37.3% | 53 |
| Ohio | 37.2% | 88 |
| Kansas | 37.0% | 105 |
| Missouri | 36.8% | 115 |
| Michigan | 36.4% | 83 |
| South Dakota | 36.2% | 66 |
| South Carolina | 35.9% | 46 |
| Texas | 35.7% | 253 |
| Delaware | 35.5% | 3 |
| Alaska | 35.3% | 30 |
| Georgia | 35.2% | 159 |
| North Carolina | 35.2% | 100 |
| Maryland | 35.0% | 24 |
| Virginia | 34.6% | 133 |
| New Mexico | 34.5% | 33 |
| Illinois | 34.1% | 102 |
| Pennsylvania (2024 release) | 34.1% | 67* |
| Wyoming | 33.9% | 23 |
| Minnesota | 33.6% | 87 |
| Oregon | 33.6% | 36 |
| Maine | 32.7% | 16 |
| Idaho | 32.4% | 44 |
| Florida | 32.2% | 67 |
| Rhode Island | 32.0% | 5 |
| Arizona | 31.7% | 15 |
| New Hampshire | 31.7% | 10 |
| Montana | 31.6% | 56 |
| Utah | 31.5% | 29 |
| Nevada | 31.2% | 17 |
| Connecticut | 30.7% | 9 |
| Washington | 30.6% | 39 |
| New York | 28.9% | 62 |
| New Jersey | 28.8% | 21 |
| Vermont | 28.8% | 14 |
| California | 27.9% | 58 |
| Massachusetts | 27.8% | 14 |
| Colorado | 26.1% | 64 |
| Hawaii | 26.1% | 5 |
| District of Columbia | 25.1% | 1 |
State figures are population-weighted county estimates computed by this site (PLACES publishes no state row) and carry no interval; they are listed by point estimate, which is not a ranking of states' health. Lowest and highest county columns are crude point estimates. * This measure was not published for the state in the 2025 release; its figure, county count and county range come from the release in brackets, the most recent that has them.
Highest county estimates
| County | Crude | 95% interval |
|---|---|---|
| Perry County, AL | 52.9% | 44.5–61.6 |
| Greene County, AL | 52.7% | 43.8–61.4 |
| Humphreys County, MS | 52.4% | 43.2–60.9 |
| Jefferson County, MS | 51.5% | 42.3–60.3 |
| Bullock County, AL | 51.3% | 42.5–60.4 |
| Lowndes County, AL | 51.2% | 41.4–59.7 |
| Wilcox County, AL | 51.2% | 42.3–60.0 |
| East Carroll Parish, LA | 51.2% | 42.0–60.1 |
| Quitman County, MS | 51.2% | 41.9–60.1 |
| Tunica County, MS | 51.0% | 42.1–60.6 |
| Holmes County, MS | 50.7% | 42.3–58.8 |
| Yazoo County, MS | 50.5% | 42.1–58.8 |
| Sharkey County, MS | 50.3% | 45.4–55.6 |
| Rolette County, ND | 50.2% | 42.7–57.7 |
| Madison Parish, LA | 49.9% | 40.8–59.2 |
| Todd County, SD | 49.3% | 42.7–56.2 |
| Sioux County, ND | 49.1% | 40.3–58.2 |
| Sunflower County, MS | 48.6% | 40.1–56.5 |
| Claiborne Parish, LA | 48.5% | 39.7–58.6 |
| Buffalo County, SD | 48.5% | 40.1–56.7 |
| County | Age-adj. | 95% interval |
|---|---|---|
| Perry County, AL | 54.0% | 45.5–62.7 |
| Greene County, AL | 53.4% | 44.5–61.9 |
| Humphreys County, MS | 53.0% | 43.9–61.4 |
| Wilcox County, AL | 51.9% | 42.8–60.7 |
| East Carroll Parish, LA | 51.7% | 42.4–60.6 |
| Jefferson County, MS | 51.7% | 42.4–60.6 |
| Holmes County, MS | 51.5% | 43.1–59.8 |
| Lowndes County, AL | 51.3% | 41.5–59.9 |
| Quitman County, MS | 51.1% | 41.7–60.1 |
| Bullock County, AL | 51.0% | 42.2–60.1 |
| Tunica County, MS | 50.8% | 41.8–60.3 |
| Claiborne County, MS | 50.5% | 41.4–59.6 |
| Sharkey County, MS | 50.5% | 45.4–55.8 |
| Yazoo County, MS | 50.2% | 41.8–58.5 |
| Rolette County, ND | 50.2% | 42.5–57.7 |
| Todd County, SD | 50.2% | 43.6–57.1 |
| Madison Parish, LA | 50.1% | 41.0–59.3 |
| Sumter County, AL | 50.0% | 41.1–58.7 |
| Sioux County, ND | 49.7% | 40.7–58.7 |
| Tensas Parish, LA | 49.2% | 40.2–58.5 |
Lowest county estimates
| County | Crude | 95% interval |
|---|---|---|
| Boulder County, CO | 16.7% | 13.7–20.2 |
| San Francisco County, CA | 17.2% | 13.7–21.3 |
| New York County, NY | 19.2% | 16.9–21.7 |
| Summit County, UT | 19.8% | 15.5–24.4 |
| Pitkin County, CO | 20.7% | 15.2–26.8 |
| La Plata County, CO | 20.9% | 15.8–26.5 |
| Marin County, CA | 21.3% | 16.2–27.3 |
| Denver County, CO | 21.6% | 18.4–25.1 |
| Santa Clara County, CA | 21.9% | 18.5–25.7 |
| Hampshire County, MA | 22.2% | 17.9–27.2 |
| Broomfield County, CO | 22.3% | 17.5–27.8 |
| San Mateo County, CA | 22.3% | 17.9–27.1 |
| King County, WA | 22.6% | 20.4–24.9 |
| Chittenden County, VT | 22.7% | 19.5–26.1 |
| Morris County, NJ | 22.8% | 18.8–26.9 |
| Alameda County, CA | 22.8% | 18.8–26.6 |
| Gallatin County, MT | 23.0% | 19.2–26.8 |
| Blaine County, ID | 23.1% | 18.0–28.9 |
| Jefferson County, CO | 23.1% | 19.8–26.5 |
| Ouray County, CO | 23.3% | 17.0–30.6 |
| County | Age-adj. | 95% interval |
|---|---|---|
| San Francisco County, CA | 17.1% | 13.7–21.2 |
| Boulder County, CO | 17.4% | 14.3–21.0 |
| Summit County, UT | 19.3% | 15.2–23.8 |
| New York County, NY | 19.5% | 17.1–22.0 |
| Pitkin County, CO | 20.3% | 14.8–26.4 |
| La Plata County, CO | 20.8% | 15.8–26.4 |
| Marin County, CA | 21.3% | 16.3–27.2 |
| Denver County, CO | 21.6% | 18.4–25.2 |
| Santa Clara County, CA | 21.9% | 18.5–25.7 |
| San Mateo County, CA | 22.0% | 17.7–26.8 |
| Broomfield County, CO | 22.1% | 17.4–27.6 |
| King County, WA | 22.4% | 20.1–24.7 |
| Park County, CO | 22.5% | 17.0–29.0 |
| Alameda County, CA | 22.5% | 18.5–26.3 |
| Morris County, NJ | 22.6% | 18.7–26.6 |
| Ouray County, CO | 22.8% | 16.8–29.9 |
| Jefferson County, CO | 22.9% | 19.6–26.2 |
| Routt County, CO | 23.0% | 17.3–29.8 |
| Blaine County, ID | 23.1% | 18.0–28.9 |
| Clear Creek County, CO | 23.2% | 17.2–30.6 |
Twenty counties at each end by point estimate. Small counties have wide intervals; many of these intervals overlap one another, so the order within each list is not a meaningful ranking. CDC: "the data should not be used for ranking the overall health of any county, place, census tract, or ZCTA."
National estimate by release
| Release | Crude | Age-adjusted | BRFSS year |
|---|---|---|---|
| 2022 release | 31.9% 31.6–32.3 | 32.0% | 2020 |
| 2023 release | 33.0% 32.6–33.3 | 33.0% | 2021 |
| 2024 release | 33.3% 33.0–33.6 | 33.4% | 2022 |
| 2025 release | 32.8% 32.4–33.1 | 32.9% | 2023 |
CDC's US row from each release's county file, for reference. Survey questions and modelling details change between releases; see the release pages.
Questions and answers
How does PLACES define "obesity among adults"?
A multi-level regression and post-stratification approach was applied to BRFSS and ACS data to compute a detailed probability among respondents aged ≥18 years who have a body mass index (BMI) ≥30.0 kg/m² calculated from self-reported weight and height. Exclude the following: Height: data from respondents measuring <3 ft or ≥8 ft Weight: data from respondents weighing <50 lbs or ≥650 lbs BMI: data from respondents with BMI <12 kg/m2 or ≥100 kg/m2 The probability was then applied to the detailed population estimates at the appropriate geographic level to generate the prevalence. The 95% confidence interval was derived using Monte Carlo simulation. Population: All Adults. Time period of case definition: Current.
What is the national estimate for obesity?
32.8% (95% confidence interval 32.4–33.1%) crude and 32.9% age-adjusted in the 2025 release.
Which counties have the highest and lowest estimates?
The highest county point estimate is 52.9% (Perry County, AL) and the lowest 16.7% (Boulder County, CO). Because the intervals for neighbouring positions usually overlap, the lists are a reference for point estimates, not a ranking.
Is a higher figure better or worse?
This site does not grade measures. CDC groups them as health outcomes, prevention, health risk behaviors, disability, health status and health-related social needs; for prevention measures such as checkups and screening a higher share reports the service, for the others a higher share reports the condition or circumstance.
Where does this data come from?
CDC PLACES: Local Data for Better Health, 2025 release (data updated 4 Dec 2025); the definition text is CDC's own from its measure definitions pages.
Provenance
Source: Centers for Disease Control and Prevention, PLACES: Local Data for Better Health, 2025 release (data updated 4 Dec 2025), with the 2022, 2023, 2024 releases for reference; US government work, public domain. Dataset on data.cdc.gov. Boundaries and ZIP-to-county relationships: US Census Bureau. Percentages are shown to one decimal as CDC publishes them; state figures are population-weighted means computed by this site. Definition text is CDC's own, from the PLACES measure definitions pages (public domain), with its burden narrative and references omitted. Processing errors are corrected at the next daily build; see corrections. Generated 30 Sep 2026.