US counties by adult obesity rate, local model estimate, 2023
Perry County had the highest adult obesity rate, local model estimate of 2956 counties in 2023, at 52.9%. Boulder County had the lowest, at 16.7%. The median was 37.9%. Source: the Centers for Disease Control and Prevention.
Map of counties, 2023
Top 40 counties, 2023
Full ranking
| Rank | Counties | 2023 (%) | Change on 2022 |
|---|---|---|---|
| 1 | Perry County | 52.9 | +4.6 pts |
| 2 | Greene County | 52.7 | +2.3 pts |
| 3 | Humphreys County | 52.4 | +1.8 pts |
| 4 | Jefferson County | 51.5 | -0.2 pts |
| 5 | Bullock County | 51.3 | +1.7 pts |
| 6 | East Carroll Parish | 51.2 | +0.3 pts |
| 6 | Lowndes County | 51.2 | +1.8 pts |
| 6 | Quitman County | 51.2 | +0.9 pts |
| 6 | Wilcox County | 51.2 | +3.4 pts |
| 10 | Tunica County | 51 | +0.8 pts |
| 11 | Holmes County | 50.7 | -1.5 pts |
| 12 | Yazoo County | 50.5 | +4.9 pts |
| 13 | Sharkey County | 50.3 | +0.7 pts |
| 14 | Rolette County | 50.2 | +5 pts |
| 15 | Madison Parish | 49.9 | +2.6 pts |
| 16 | Todd County | 49.3 | +5.7 pts |
| 17 | Sioux County | 49.1 | +0.1 pts |
| 18 | Sunflower County | 48.6 | +1.3 pts |
| 19 | Buffalo County | 48.5 | +4.8 pts |
| 19 | Claiborne Parish | 48.5 | +3.6 pts |
| 21 | Phillips County | 48.4 | -2.3 pts |
| 21 | Tensas Parish | 48.4 | +2.3 pts |
| 23 | St. Francis County | 48.2 | +3.7 pts |
| 24 | Pickens County | 48 | +4.2 pts |
| 25 | Robeson County | 47.9 | +6.4 pts |
| 26 | Claiborne County | 47.8 | -1.4 pts |
| 27 | Clay County | 47.6 | +5.6 pts |
| 27 | Hale County | 47.6 | +3.1 pts |
| 27 | Mississippi County | 47.6 | +3.2 pts |
| 30 | Bienville Parish | 47.5 | +1.5 pts |
| 30 | Zavala County | 47.5 | +0.5 pts |
| 32 | Cass County | 47.4 | +7.2 pts |
| 32 | Wilkinson County | 47.4 | -1.7 pts |
| 34 | Lafourche Parish | 47.2 | +4.4 pts |
| 34 | Lake County | 47.2 | +2.5 pts |
| 34 | Lauderdale County | 47.2 | +2.7 pts |
| 34 | Sumter County | 47.2 | +4.8 pts |
| 34 | Ziebach County | 47.2 | +3 pts |
| 39 | Chicot County | 47.1 | +2.7 pts |
| 39 | Sequoyah County | 47.1 | +5.9 pts |
| 41 | Oglala Lakota County | 47 | +3.7 pts |
| 42 | Lee County | 46.9 | +2 pts |
| 43 | Barbour County | 46.8 | +3.5 pts |
| 43 | Dimmit County | 46.8 | -2.2 pts |
| 43 | McMinn County | 46.8 | +6.5 pts |
| 46 | Allendale County | 46.7 | +2.4 pts |
| 46 | Boone County | 46.7 | +4.9 pts |
| 46 | Crittenden County | 46.7 | +5.4 pts |
| 46 | Macon County | 46.7 | +0.7 pts |
| 50 | Desha County | 46.6 | +1.5 pts |
| 50 | Haywood County | 46.6 | +2.6 pts |
| 50 | Mississippi County | 46.6 | +3.7 pts |
| 50 | Petersburg city | 46.6 | +0.4 pts |
| 54 | Bolivar County | 46.5 | +1.3 pts |
| 54 | Kusilvak Census Area | 46.5 | +1 pts |
| 56 | Coahoma County | 46.4 | -1.4 pts |
| 56 | Conecuh County | 46.4 | +2 pts |
| 56 | Noxubee County | 46.4 | -0.1 pts |
| 56 | Osage County | 46.4 | +6.1 pts |
| 60 | Dallas County | 46.3 | -3.9 pts |
| 60 | Lawrence County | 46.3 | +2.9 pts |
| 60 | Panola County | 46.3 | +0.3 pts |
| 63 | Adair County | 46.2 | +2.7 pts |
| 63 | Dunklin County | 46.2 | +3.3 pts |
| 63 | McDowell County | 46.2 | +1.5 pts |
| 66 | Grenada County | 46.1 | +1 pts |
| 66 | Lunenburg County | 46.1 | +3.1 pts |
| 66 | Montgomery County | 46.1 | +1.9 pts |
| 69 | Forest County | 46 | +3.1 pts |
| 69 | Lafayette County | 46 | +3.3 pts |
| 69 | Pike County | 46 | +0.7 pts |
| 72 | Jefferson County | 45.9 | +2.2 pts |
| 72 | Randolph County | 45.9 | +4.9 pts |
| 72 | Winn Parish | 45.9 | +2.5 pts |
| 75 | Ashtabula County | 45.8 | +2.9 pts |
| 75 | Hopewell city | 45.8 | +0.3 pts |
| 75 | Okfuskee County | 45.8 | +1.1 pts |
| 78 | Fairfield County | 45.7 | +4.7 pts |
| 79 | Concordia Parish | 45.6 | +4.1 pts |
| 79 | Darlington County | 45.6 | +4.4 pts |
| 79 | Hempstead County | 45.6 | +4.8 pts |
| 79 | Lincoln County | 45.6 | +0.5 pts |
| 79 | Mellette County | 45.6 | +3.3 pts |
| 79 | Pulaski County | 45.6 | +3 pts |
| 79 | Randolph County | 45.6 | -1.7 pts |
| 79 | Talladega County | 45.6 | +3 pts |
| 87 | Sussex County | 45.5 | +1.4 pts |
| 87 | Washington Parish | 45.5 | +2.4 pts |
| 89 | Choctaw County | 45.4 | +0.1 pts |
| 89 | Jefferson Davis County | 45.4 | +2.1 pts |
| 89 | Menominee County | 45.4 | +2.6 pts |
| 89 | Thurston County | 45.4 | -2.3 pts |
| 93 | Alexander County | 45.3 | +2.5 pts |
| 93 | Dillon County | 45.3 | +3.2 pts |
| 93 | Greensville County | 45.3 | -1.3 pts |
| 93 | Issaquena County | 45.3 | +0.9 pts |
| 93 | Marion County | 45.3 | +2.8 pts |
| 93 | Richardson County | 45.3 | +1.5 pts |
| 93 | St. Martin Parish | 45.3 | +4.3 pts |
| 100 | Chesterfield County | 45.2 | +5.4 pts |
| 100 | Clayton County | 45.2 | -0.4 pts |
| 100 | Henry County | 45.2 | +5.6 pts |
| 100 | Scotland County | 45.2 | +4.4 pts |
| 104 | Ashley County | 45.1 | +3.2 pts |
| 104 | Mitchell County | 45.1 | -1.3 pts |
| 106 | Amite County | 45 | +0.4 pts |
| 106 | Cross County | 45 | +6.5 pts |
| 106 | Logan County | 45 | +3.8 pts |
| 106 | Okmulgee County | 45 | +1.1 pts |
| 106 | Seminole County | 45 | +2.8 pts |
| 106 | St. Mary Parish | 45 | +0.4 pts |
| 106 | Starr County | 45 | -1.8 pts |
| 106 | Williamsburg County | 45 | -2.2 pts |
| 114 | Fayette County | 44.9 | +3.9 pts |
| 114 | Fentress County | 44.9 | +4.6 pts |
| 114 | Jackson County | 44.9 | +0.6 pts |
| 114 | Jackson Parish | 44.9 | +4.6 pts |
| 114 | Jasper County | 44.9 | +1.3 pts |
| 114 | Martinsville city | 44.9 | +0.6 pts |
| 114 | Pemiscot County | 44.9 | +1.4 pts |
| 114 | Tallahatchie County | 44.9 | +0.1 pts |
| 122 | Hancock County | 44.8 | -2.3 pts |
| 122 | McIntosh County | 44.8 | +3.2 pts |
| 122 | Morehouse Parish | 44.8 | +0.6 pts |
| 125 | Bibb County | 44.7 | -3.4 pts |
| 125 | Evangeline Parish | 44.7 | -1.2 pts |
| 125 | Jim Hogg County | 44.7 | +0.6 pts |
| 125 | Sabine Parish | 44.7 | -1.4 pts |
| 125 | Scioto County | 44.7 | +1.4 pts |
| 130 | Crisp County | 44.6 | +0.3 pts |
| 130 | Gadsden County | 44.6 | +0.4 pts |
| 130 | Pope County | 44.6 | +9.4 pts |
| 130 | Webster Parish | 44.6 | -0.9 pts |
| 130 | White County | 44.6 | +5.4 pts |
| 130 | Wyoming County | 44.6 | -2 pts |
| 136 | Liberty County | 44.5 | +3.5 pts |
| 136 | Meigs County | 44.5 | -4.5 pts |
| 138 | Bedford County | 44.4 | +3.2 pts |
| 138 | Choctaw County | 44.4 | -1.6 pts |
| 138 | De Soto Parish | 44.4 | +4.2 pts |
| 138 | Emporia city | 44.4 | -2.1 pts |
| 138 | Furnas County | 44.4 | +3.8 pts |
| 138 | Monroe County | 44.4 | +5.6 pts |
| 138 | Turner County | 44.4 | +1.2 pts |
| 145 | Blackford County | 44.3 | +6.6 pts |
| 145 | Dakota County | 44.3 | -1 pts |
| 145 | Miami County | 44.3 | +2.5 pts |
| 145 | Muskegon County | 44.3 | +1.5 pts |
| 145 | Ross County | 44.3 | +1.7 pts |
| 145 | Taylor County | 44.3 | +3.3 pts |
| 151 | Allen Parish | 44.2 | +3.1 pts |
| 151 | Barnwell County | 44.2 | +1.3 pts |
| 151 | Hidalgo County | 44.2 | -2.6 pts |
| 151 | Marion County | 44.2 | -0.7 pts |
| 151 | Washington County | 44.2 | -0.3 pts |
| 151 | Wayne County | 44.2 | -0.8 pts |
| 157 | Cabell County | 44.1 | +3.8 pts |
| 157 | Lincoln County | 44.1 | +1.9 pts |
| 157 | Marshall County | 44.1 | +3.9 pts |
| 157 | Texas County | 44.1 | +3.1 pts |
| 157 | Tipton County | 44.1 | +4.4 pts |
| 162 | Atkinson County | 44 | +1.8 pts |
| 162 | Hancock County | 44 | -1.3 pts |
| 162 | Hinds County | 44 | -2.3 pts |
| 162 | Laurens County | 44 | +2.8 pts |
| 162 | Nevada County | 44 | +2.6 pts |
| 162 | Pleasants County | 44 | +2.3 pts |
| 162 | Reno County | 44 | +6.7 pts |
| 162 | Tillman County | 44 | +1.5 pts |
| 162 | Union County | 44 | +1.1 pts |
| 171 | Bibb County | 43.9 | +2.5 pts |
| 171 | Clark County | 43.9 | +2.7 pts |
| 171 | Clarke County | 43.9 | -0.1 pts |
| 171 | Escambia County | 43.9 | +0.5 pts |
| 171 | Jackson County | 43.9 | +3.3 pts |
| 171 | Maverick County | 43.9 | -0.4 pts |
| 171 | Muskingum County | 43.9 | +2.8 pts |
| 171 | Okeechobee County | 43.9 | +4.2 pts |
| 171 | Ouachita Parish | 43.9 | +2 pts |
| 171 | Red River Parish | 43.9 | -2.4 pts |
| 171 | Towner County | 43.9 | +7.4 pts |
| 171 | Warren County | 43.9 | +2.8 pts |
| 183 | Cherokee County | 43.8 | +1.5 pts |
| 183 | Drew County | 43.8 | +3.4 pts |
| 183 | Elkhart County | 43.8 | +1.8 pts |
| 183 | Etowah County | 43.8 | +2.4 pts |
| 183 | Fond du Lac County | 43.8 | +2.2 pts |
| 183 | Franklin city | 43.8 | -2.7 pts |
| 183 | Macon County | 43.8 | -4.3 pts |
| 183 | Madison County | 43.8 | +5.1 pts |
| 183 | Mahnomen County | 43.8 | +0.2 pts |
| 183 | Monroe County | 43.8 | +1.3 pts |
| 183 | Vermilion County | 43.8 | +3.4 pts |
| 183 | Warren County | 43.8 | +2 pts |
| 195 | DeKalb County | 43.7 | +6.1 pts |
| 195 | Edgecombe County | 43.7 | +3.5 pts |
| 195 | Hardeman County | 43.7 | -3.8 pts |
| 195 | Henry County | 43.7 | -0.4 pts |
| 195 | Kemper County | 43.7 | -1.7 pts |
| 195 | Lawrence County | 43.7 | +2.7 pts |
| 195 | Lee County | 43.7 | -4.9 pts |
| 195 | Perry County | 43.7 | +1.8 pts |
| 195 | Polk County | 43.7 | +5.6 pts |
| 195 | Putnam County | 43.7 | +3.6 pts |
| 195 | St. James Parish | 43.7 | -0.2 pts |
| 195 | Washington County | 43.7 | -0.4 pts |
| 195 | Zapata County | 43.7 | -1.7 pts |
| 208 | Buckingham County | 43.6 | +2 pts |
| 208 | Calhoun County | 43.6 | -3 pts |
| 208 | Crawford County | 43.6 | +2.2 pts |
| 208 | Dewey County | 43.6 | +2.7 pts |
| 208 | Jay County | 43.6 | +1.5 pts |
| 208 | Saluda County | 43.6 | +4.6 pts |
| 208 | Smith County | 43.6 | +1.9 pts |
| 208 | Sullivan County | 43.6 | +5.4 pts |
| 208 | Terrell County | 43.6 | -3.2 pts |
| 208 | Washington County | 43.6 | +3.2 pts |
| 218 | Corson County | 43.5 | -2.2 pts |
| 218 | Johnson County | 43.5 | +0.8 pts |
| 218 | Kent County | 43.5 | +4.6 pts |
| 218 | Marion County | 43.5 | -0.4 pts |
| 218 | Mingo County | 43.5 | +1.7 pts |
| 218 | Monroe County | 43.5 | +0.5 pts |
| 218 | Montgomery County | 43.5 | -1.9 pts |
| 218 | Newton County | 43.5 | +1.9 pts |
| 218 | Nottoway County | 43.5 | -0.6 pts |
| 218 | Ouachita County | 43.5 | +1.1 pts |
| 218 | San Augustine County | 43.5 | +1.2 pts |
| 218 | Warren County | 43.5 | -0.6 pts |
| 218 | Wise County | 43.5 | +2 pts |
| 218 | Wood County | 43.5 | +5.1 pts |
| 232 | Appanoose County | 43.4 | +0.2 pts |
| 232 | Boone County | 43.4 | +4.8 pts |
| 232 | Brunswick County | 43.4 | -1.3 pts |
| 232 | Iowa County | 43.4 | +7.4 pts |
| 232 | Leflore County | 43.4 | -1.9 pts |
| 232 | Marion County | 43.4 | +4.3 pts |
| 232 | Marquette County | 43.4 | +2.1 pts |
| 232 | Morgan County | 43.4 | +2.8 pts |
| 232 | Scott County | 43.4 | -2.5 pts |
| 232 | Scott County | 43.4 | +2 pts |
| 232 | Tuscarawas County | 43.4 | -0.3 pts |
| 243 | Anson County | 43.3 | +0.6 pts |
| 243 | Baker County | 43.3 | +1.1 pts |
| 243 | Barbour County | 43.3 | +3.1 pts |
| 243 | Benson County | 43.3 | +1.8 pts |
| 243 | Chickasaw County | 43.3 | -3.6 pts |
| 243 | Clay County | 43.3 | +1 pts |
| 243 | Dixon County | 43.3 | +2.7 pts |
| 243 | Tippah County | 43.3 | +1.6 pts |
Other periods
About this ranking
Percentage of adults with a body mass index of 30 or more, calculated from self-reported weight and height. Model-based estimate for adults aged 18 and over from CDC PLACES. Crude prevalence, not age-adjusted.
US counties and cities (incorporated places of 10,000 or more). CDC PLACES combines Behavioral Risk Factor Surveillance System (BRFSS) answers with local population data through multilevel regression and poststratification, so a county or city value is a model estimate, not a survey count. The year is the BRFSS survey year, not the release year. CDC says the method does not support tracking change in a place over time, and each annual release can change the model, so values for different years are not strictly comparable. A state is missing in a year when its BRFSS data did not meet standards (Kentucky and Pennsylvania in 2023, Florida in 2021). Connecticut counties appear as its nine planning regions from 2022; its eight former counties are not served. City values for 2021 come from the 2023 release, built on 2010 Census place boundaries; later years use 2020 boundaries. State and national values come from direct BRFSS estimates under adult_obesity_rate.
Every value in the ranking comes from the same publisher and the same period, so the counties are compared on one definition. 188 counties with data in other periods have no value for 2023 and are left out rather than filled from another source. Equal values share a rank.
How to cite
Centers for Disease Control and Prevention (CDC). PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh, h3ej-a9ec and later releases), adult obesity rate, crude prevalence. https://www.cdc.gov/places/. Retrieved 2026-10-12. These data are available free from CDC. Use does not imply endorsement by CDC, ATSDR, HHS or the United States Government.
Citation styles
APA 7
Centers for Disease Control and Prevention. (2025). PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh, h3ej-a9ec and later releases), adult obesity rate, crude prevalence (US counties by adult obesity rate, local model estimate, 2023) [Data set]. Retrieved October 12, 2026, from https://www.cdc.gov/places/
MLA 9
PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh, h3ej-a9ec and later releases), adult obesity rate, crude prevalence, US counties by adult obesity rate, local model estimate, 2023. Centers for Disease Control and Prevention, 4 Dec. 2025, https://www.cdc.gov/places/. Invokely, https://invokely.ai/rankings/adult-obesity-rate-county-estimate/us-counties. Accessed 12 Oct. 2026.
Chicago (author-date)
Centers for Disease Control and Prevention. 2025. PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh, h3ej-a9ec and later releases), adult obesity rate, crude prevalence. US counties by adult obesity rate, local model estimate, 2023. Dataset. Accessed October 12, 2026. https://www.cdc.gov/places/. Also distributed by Invokely, https://invokely.ai/rankings/adult-obesity-rate-county-estimate/us-counties.
Harvard
Centers for Disease Control and Prevention (2025) PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh, h3ej-a9ec and later releases), adult obesity rate, crude prevalence, US counties by adult obesity rate, local model estimate, 2023 [Dataset]. Available at: https://www.cdc.gov/places/, via Invokely: https://invokely.ai/rankings/adult-obesity-rate-county-estimate/us-counties (Accessed: 12 October 2026).
BibTeX
@misc{centers_us_counties_by_adult_2023,
author = {{Centers for Disease Control and Prevention}},
title = {{PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh, h3ej-a9ec and later releases), adult obesity rate, crude prevalence: US counties by adult obesity rate, local model estimate, 2023}},
year = {2025},
howpublished = {Data set},
url = {https://www.cdc.gov/places/},
urldate = {2026-10-12},
note = {Accessed via Invokely, https://invokely.ai/rankings/adult-obesity-rate-county-estimate/us-counties. Publisher attribution: Centers for Disease Control and Prevention (CDC). PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh, h3ej-a9ec and later releases), adult obesity rate, crude prevalence. https://www.cdc.gov/places/. Retrieved 2026-10-12. These data are available free from CDC. Use does not imply endorsement by CDC, ATSDR, HHS or the United States Government.},
}
RIS
TY - DATA
AU - Centers for Disease Control and Prevention
TI - PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh, h3ej-a9ec and later releases), adult obesity rate, crude prevalence: US counties by adult obesity rate, local model estimate, 2023
PY - 2025
DA - 2025/12/04
PB - Centers for Disease Control and Prevention
DB - Invokely
UR - https://www.cdc.gov/places/
L2 - https://invokely.ai/rankings/adult-obesity-rate-county-estimate/us-counties
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/adult-obesity-rate-county-estimate/us-counties.
N1 - Publisher attribution: Centers for Disease Control and Prevention (CDC). PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh, h3ej-a9ec and later releases), adult obesity rate, crude prevalence. https://www.cdc.gov/places/. Retrieved 2026-10-12. These data are available free from CDC. Use does not imply endorsement by CDC, ATSDR, HHS or the United States Government.
ER -
Use this data in your AI agent
Invokely serves this figure to AI assistants through MCP and to code through a REST API, with the source and citation attached. Ask your assistant:
Rank US counties by adult obesity rate, local model estimate using official data, and cite the source.
rank_places {"indicator":"adult_obesity_rate_modelled","level":"province","within":"United States","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=adult_obesity_rate_modelled&level=province&within=United%20States&limit=10
Questions
Which county has the highest adult obesity rate, local model estimate?
Perry County, with 52.9% in 2023, according to the Centers for Disease Control and Prevention.
Which county has the lowest adult obesity rate, local model estimate?
Boulder County, with 16.7% in 2023.
Where does this ranking come from?
Every value comes from one source and one period, so the places are comparable: Centers for Disease Control and Prevention, PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh, h3ej-a9ec and later releases), adult obesity rate, crude prevalence. Retrieved 2026-10-12. 188 counties have no value for 2023 and are not ranked.
Adult obesity rate, local model estimate: other rankings
- Counties in Pennsylvania
- Counties in Kentucky
- Counties in Utah
- Cities in South Dakota
- Cities in Washington
- Cities in Minnesota
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