Counties in West Virginia by adult obesity rate, local model estimate, 2023
Boone County had the highest adult obesity rate, local model estimate of 55 counties in 2023, at 46.7%. Monongalia County had the lowest, at 31.9%. The median was 41.5%. Source: the Centers for Disease Control and Prevention.
Map of counties, 2023
- Under 39
- 39 to 40
- 40 to 42
- 42 to 43
- 43 to 44
- 44 and over
All counties, 2023
Full ranking
| Rank | Counties | 2023 (%) | Change on 2022 |
|---|---|---|---|
| 1 | Boone County | 46.7 | +4.9 pts |
| 2 | McDowell County | 46.2 | +1.5 pts |
| 3 | Randolph County | 45.9 | +4.9 pts |
| 4 | Lincoln County | 45.6 | +0.5 pts |
| 5 | Logan County | 45 | +3.8 pts |
| 6 | Wyoming County | 44.6 | -2 pts |
| 7 | Cabell County | 44.1 | +3.8 pts |
| 8 | Hancock County | 44 | -1.3 pts |
| 8 | Pleasants County | 44 | +2.3 pts |
| 10 | Mingo County | 43.5 | +1.7 pts |
| 10 | Wood County | 43.5 | +5.1 pts |
| 12 | Barbour County | 43.3 | +3.1 pts |
| 13 | Grant County | 43.2 | +2.3 pts |
| 14 | Raleigh County | 43.1 | +3.3 pts |
| 15 | Gilmer County | 42.9 | +3.4 pts |
| 15 | Ritchie County | 42.9 | +1.6 pts |
| 15 | Webster County | 42.9 | +5 pts |
| 18 | Jackson County | 42.8 | +5.1 pts |
| 18 | Tyler County | 42.8 | +1.1 pts |
| 18 | Wirt County | 42.8 | +0.7 pts |
| 21 | Wayne County | 42.6 | -2.8 pts |
| 22 | Wetzel County | 42.4 | +5.3 pts |
| 23 | Marion County | 42.1 | +2.7 pts |
| 24 | Taylor County | 42 | +1.3 pts |
| 25 | Clay County | 41.9 | -0.8 pts |
| 25 | Hardy County | 41.9 | -1.1 pts |
| 27 | Roane County | 41.6 | +1.8 pts |
| 28 | Braxton County | 41.5 | +2.1 pts |
| 29 | Mason County | 41.3 | -2.8 pts |
| 30 | Monroe County | 41.1 | +0.5 pts |
| 31 | Doddridge County | 41 | -2.3 pts |
| 32 | Calhoun County | 40.8 | -3.7 pts |
| 32 | Mercer County | 40.8 | -1.2 pts |
| 34 | Nicholas County | 40.6 | +0.6 pts |
| 34 | Pocahontas County | 40.6 | -3.5 pts |
| 36 | Fayette County | 40.5 | +1 pts |
| 37 | Greenbrier County | 40.4 | -2.4 pts |
| 38 | Kanawha County | 40.3 | 0 pts |
| 38 | Lewis County | 40.3 | -0.2 pts |
| 40 | Harrison County | 40.2 | -0.3 pts |
| 41 | Brooke County | 40 | +0.8 pts |
| 42 | Summers County | 39.8 | -3.1 pts |
| 43 | Ohio County | 39.5 | +2.4 pts |
| 44 | Mineral County | 39.3 | -3.5 pts |
| 44 | Tucker County | 39.3 | +0.9 pts |
| 46 | Hampshire County | 39.2 | -3.5 pts |
| 46 | Morgan County | 39.2 | +0.3 pts |
| 48 | Berkeley County | 38.7 | -2.2 pts |
| 49 | Jefferson County | 38.3 | +3.1 pts |
| 49 | Putnam County | 38.3 | 0 pts |
| 51 | Preston County | 37.7 | -3.6 pts |
| 52 | Marshall County | 37.5 | -5 pts |
| 53 | Upshur County | 36.6 | -4.1 pts |
| 54 | Pendleton County | 36.5 | -1.4 pts |
| 55 | Monongalia County | 31.9 | -2.3 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. 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 (Counties in West Virginia 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, Counties in West Virginia 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/west-virginia-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. Counties in West Virginia 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/west-virginia-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, Counties in West Virginia 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/west-virginia-counties (Accessed: 12 October 2026).
BibTeX
@misc{centers_counties_in_west_virginia_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: Counties in West Virginia 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/west-virginia-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: Counties in West Virginia 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/west-virginia-counties
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/adult-obesity-rate-county-estimate/west-virginia-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 Counties in West Virginia by adult obesity rate, local model estimate using official data, and cite the source.
rank_places {"indicator":"adult_obesity_rate_modelled","level":"province","within":"West Virginia","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=adult_obesity_rate_modelled&level=province&within=West%20Virginia&limit=10
Questions
Which county has the highest adult obesity rate, local model estimate?
Boone County, with 46.7% in 2023, according to the Centers for Disease Control and Prevention.
Which county has the lowest adult obesity rate, local model estimate?
Monongalia County, with 31.9% 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.
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