Counties in Oklahoma by adult obesity rate, local model estimate, 2023
Sequoyah County had the highest adult obesity rate, local model estimate of 77 counties in 2023, at 47.1%. Payne County had the lowest, at 33.9%. The median was 40.4%. Source: the Centers for Disease Control and Prevention.
Map of counties, 2023
- Under 38
- 38 to 40
- 40 to 42
- 42 to 43
- 43 and over
Top 40 counties, 2023
Full ranking
| Rank | Counties | 2023 (%) | Change on 2022 |
|---|---|---|---|
| 1 | Sequoyah County | 47.1 | +5.9 pts |
| 2 | Osage County | 46.4 | +6.1 pts |
| 3 | Adair County | 46.2 | +2.7 pts |
| 4 | Okfuskee County | 45.8 | +1.1 pts |
| 5 | Choctaw County | 45.4 | +0.1 pts |
| 6 | Okmulgee County | 45 | +1.1 pts |
| 6 | Seminole County | 45 | +2.8 pts |
| 8 | McIntosh County | 44.8 | +3.2 pts |
| 9 | Lincoln County | 44.1 | +1.9 pts |
| 9 | Texas County | 44.1 | +3.1 pts |
| 11 | Tillman County | 44 | +1.5 pts |
| 12 | Cotton County | 43.1 | +0.8 pts |
| 13 | Comanche County | 43 | +0.1 pts |
| 14 | Cherokee County | 42.9 | +0.2 pts |
| 15 | Kiowa County | 42.7 | -2.9 pts |
| 16 | Coal County | 42.6 | 0 pts |
| 16 | Kay County | 42.6 | -0.8 pts |
| 16 | McCurtain County | 42.6 | -2.3 pts |
| 19 | Harmon County | 42.4 | -0.9 pts |
| 19 | Washington County | 42.4 | +1.1 pts |
| 21 | Latimer County | 42.3 | -2.9 pts |
| 22 | Haskell County | 42.2 | -1.2 pts |
| 23 | Greer County | 42.1 | +0.9 pts |
| 24 | Hughes County | 41.9 | -5.4 pts |
| 24 | Major County | 41.9 | +0.4 pts |
| 26 | Craig County | 41.8 | -1.8 pts |
| 26 | Mayes County | 41.8 | -1.2 pts |
| 28 | Garfield County | 41.7 | -0.1 pts |
| 28 | Ottawa County | 41.7 | -1.6 pts |
| 30 | Noble County | 41.6 | +1.4 pts |
| 31 | Muskogee County | 41.5 | -2.8 pts |
| 31 | Woodward County | 41.5 | -0.3 pts |
| 33 | Murray County | 41.4 | -2.9 pts |
| 34 | Jefferson County | 41.2 | -4 pts |
| 34 | Pottawatomie County | 41.2 | -1.2 pts |
| 36 | Custer County | 41 | +4.4 pts |
| 37 | Alfalfa County | 40.6 | +1.9 pts |
| 38 | Nowata County | 40.5 | -0.6 pts |
| 39 | Jackson County | 40.4 | -1.6 pts |
| 40 | Atoka County | 40.3 | -2.4 pts |
| 40 | Le Flore County | 40.3 | -2.2 pts |
| 40 | Roger Mills County | 40.3 | -0.1 pts |
| 43 | Caddo County | 40.2 | -0.5 pts |
| 43 | Logan County | 40.2 | -1.9 pts |
| 45 | Pittsburg County | 40.1 | -0.9 pts |
| 45 | Rogers County | 40.1 | -0.9 pts |
| 47 | Beckham County | 40 | -2.4 pts |
| 47 | Bryan County | 40 | -0.8 pts |
| 49 | Pontotoc County | 39.9 | -3.1 pts |
| 50 | Creek County | 39.8 | +0.4 pts |
| 51 | Carter County | 39.7 | -0.7 pts |
| 51 | Pawnee County | 39.7 | -1 pts |
| 53 | Ellis County | 39.6 | -1.3 pts |
| 54 | Washita County | 39.5 | -1.2 pts |
| 55 | Harper County | 39.4 | -3.9 pts |
| 55 | Johnston County | 39.4 | -3.4 pts |
| 55 | Marshall County | 39.4 | -3.3 pts |
| 58 | Pushmataha County | 39.1 | -4.2 pts |
| 58 | Stephens County | 39.1 | -3.1 pts |
| 60 | Canadian County | 39 | -3.9 pts |
| 61 | Love County | 38.8 | -4.4 pts |
| 62 | Garvin County | 38.6 | -3.6 pts |
| 63 | McClain County | 38.5 | +0.2 pts |
| 64 | Beaver County | 38.4 | -0.2 pts |
| 64 | Grady County | 38.4 | -2.8 pts |
| 66 | Blaine County | 38.3 | -4.8 pts |
| 67 | Dewey County | 38.2 | -2.5 pts |
| 68 | Delaware County | 37.8 | -4.9 pts |
| 69 | Oklahoma County | 37.7 | -1.4 pts |
| 70 | Cimarron County | 37.6 | -0.7 pts |
| 71 | Kingfisher County | 37.1 | -4.1 pts |
| 72 | Woods County | 36.6 | -1.8 pts |
| 73 | Cleveland County | 36.3 | +0.7 pts |
| 73 | Grant County | 36.3 | -8.2 pts |
| 75 | Wagoner County | 36.1 | -7.5 pts |
| 76 | Tulsa County | 35.7 | -1 pts |
| 77 | Payne County | 33.9 | -0.9 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 Oklahoma 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 Oklahoma 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/oklahoma-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 Oklahoma 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/oklahoma-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 Oklahoma 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/oklahoma-counties (Accessed: 12 October 2026).
BibTeX
@misc{centers_counties_in_oklahoma_by_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 Oklahoma 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/oklahoma-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 Oklahoma 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/oklahoma-counties
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/adult-obesity-rate-county-estimate/oklahoma-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 Oklahoma by adult obesity rate, local model estimate using official data, and cite the source.
rank_places {"indicator":"adult_obesity_rate_modelled","level":"province","within":"Oklahoma","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=adult_obesity_rate_modelled&level=province&within=Oklahoma&limit=10
Questions
Which county has the highest adult obesity rate, local model estimate?
Sequoyah County, with 47.1% in 2023, according to the Centers for Disease Control and Prevention.
Which county has the lowest adult obesity rate, local model estimate?
Payne County, with 33.9% 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.
Adult obesity rate, local model estimate: other rankings
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Counties in Oklahoma: more rankings
- High blood pressure in adults, local model estimate
- Uninsured rate, under 19 (US, ACS)
- Uninsured rate, ages 35 to 64 (US, ACS)
- Frequent mental distress in adults, local model estimate
- Residents who moved from another county in the past year
- Asian population share
- Net domestic migration rate, July to June
- Median age on 1 July (US county estimates)