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.

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Highest47.1Sequoyah County
Lowest33.9Payne County
Median40.477 counties

Map of counties, 2023

Adair County: 46.2 %Alfalfa County: 40.6 %Atoka County: 40.3 %Beaver County: 38.4 %Beckham County: 40 %Blaine County: 38.3 %Bryan County: 40 %Caddo County: 40.2 %Canadian County: 39 %Carter County: 39.7 %Cherokee County: 42.9 %Choctaw County: 45.4 %Cimarron County: 37.6 %Cleveland County: 36.3 %Coal County: 42.6 %Comanche County: 43 %Cotton County: 43.1 %Craig County: 41.8 %Creek County: 39.8 %Custer County: 41 %Delaware County: 37.8 %Dewey County: 38.2 %Ellis County: 39.6 %Garfield County: 41.7 %Garvin County: 38.6 %Grady County: 38.4 %Grant County: 36.3 %Greer County: 42.1 %Harmon County: 42.4 %Harper County: 39.4 %Haskell County: 42.2 %Hughes County: 41.9 %Jackson County: 40.4 %Jefferson County: 41.2 %Johnston County: 39.4 %Kay County: 42.6 %Kingfisher County: 37.1 %Kiowa County: 42.7 %Latimer County: 42.3 %Le Flore County: 40.3 %Lincoln County: 44.1 %Logan County: 40.2 %Love County: 38.8 %McClain County: 38.5 %McCurtain County: 42.6 %McIntosh County: 44.8 %Major County: 41.9 %Marshall County: 39.4 %Mayes County: 41.8 %Murray County: 41.4 %Muskogee County: 41.5 %Noble County: 41.6 %Nowata County: 40.5 %Okfuskee County: 45.8 %Oklahoma County: 37.7 %Okmulgee County: 45 %Osage County: 46.4 %Ottawa County: 41.7 %Pawnee County: 39.7 %Payne County: 33.9 %Pittsburg County: 40.1 %Pontotoc County: 39.9 %Pottawatomie County: 41.2 %Pushmataha County: 39.1 %Roger Mills County: 40.3 %Rogers County: 40.1 %Seminole County: 45 %Sequoyah County: 47.1 %Stephens County: 39.1 %Texas County: 44.1 %Tillman County: 44 %Tulsa County: 35.7 %Wagoner County: 36.1 %Washington County: 42.4 %Washita County: 39.5 %Woods County: 36.6 %Woodward County: 41.5 %
  • Under 38
  • 38 to 40
  • 40 to 42
  • 42 to 43
  • 43 and over
%, 2023. Source: CDC, PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh, h3ej-a9ec and later releases), adult obesity rate, crude prevalence. Boundaries: U.S. Census Bureau cartographic boundary files.

Top 40 counties, 2023

Sequoyah County: 47.1 %Sequoyah County47.1Osage County: 46.4 %Osage County46.4Adair County: 46.2 %Adair County46.2Okfuskee County: 45.8 %Okfuskee County45.8Choctaw County: 45.4 %Choctaw County45.4Okmulgee County: 45 %Okmulgee County45Seminole County: 45 %Seminole County45McIntosh County: 44.8 %McIntosh County44.8Lincoln County: 44.1 %Lincoln County44.1Texas County: 44.1 %Texas County44.1Tillman County: 44 %Tillman County44Cotton County: 43.1 %Cotton County43.1Comanche County: 43 %Comanche County43Cherokee County: 42.9 %Cherokee County42.9Kiowa County: 42.7 %Kiowa County42.7Coal County: 42.6 %Coal County42.6Kay County: 42.6 %Kay County42.6McCurtain County: 42.6 %McCurtain County42.6Harmon County: 42.4 %Harmon County42.4Washington County: 42.4 %Washington County42.4Latimer County: 42.3 %Latimer County42.3Haskell County: 42.2 %Haskell County42.2Greer County: 42.1 %Greer County42.1Hughes County: 41.9 %Hughes County41.9Major County: 41.9 %Major County41.9Craig County: 41.8 %Craig County41.8Mayes County: 41.8 %Mayes County41.8Garfield County: 41.7 %Garfield County41.7Ottawa County: 41.7 %Ottawa County41.7Noble County: 41.6 %Noble County41.6Muskogee County: 41.5 %Muskogee County41.5Woodward County: 41.5 %Woodward County41.5Murray County: 41.4 %Murray County41.4Jefferson County: 41.2 %Jefferson County41.2Pottawatomie County: 41.2 %Pottawatomie County41.2Custer County: 41 %Custer County41Alfalfa County: 40.6 %Alfalfa County40.6Nowata County: 40.5 %Nowata County40.5Jackson County: 40.4 %Jackson County40.4Atoka County: 40.3 %Atoka County40.3Sequoyah County: 47.1 %Sequoyah County47.1Osage County: 46.4 %Osage County46.4Adair County: 46.2 %Adair County46.2Okfuskee County: 45.8 %Okfuskee County45.8Choctaw County: 45.4 %Choctaw County45.4Okmulgee County: 45 %Okmulgee County45Seminole County: 45 %Seminole County45McIntosh County: 44.8 %McIntosh County44.8Lincoln County: 44.1 %Lincoln County44.1Texas County: 44.1 %Texas County44.1Tillman County: 44 %Tillman County44Cotton County: 43.1 %Cotton County43.1Comanche County: 43 %Comanche County43Cherokee County: 42.9 %Cherokee County42.9Kiowa County: 42.7 %Kiowa County42.7Coal County: 42.6 %Coal County42.6Kay County: 42.6 %Kay County42.6McCurtain County: 42.6 %McCurtain County42.6Harmon County: 42.4 %Harmon County42.4Washington County: 42.4 %Washington County42.4Latimer County: 42.3 %Latimer County42.3Haskell County: 42.2 %Haskell County42.2Greer County: 42.1 %Greer County42.1Hughes County: 41.9 %Hughes County41.9Major County: 41.9 %Major County41.9Craig County: 41.8 %Craig County41.8Mayes County: 41.8 %Mayes County41.8Garfield County: 41.7 %Garfield County41.7Ottawa County: 41.7 %Ottawa County41.7Noble County: 41.6 %Noble County41.6Muskogee County: 41.5 %Muskogee County41.5Woodward County: 41.5 %Woodward County41.5Murray County: 41.4 %Murray County41.4Jefferson County: 41.2 %Jefferson County41.2Pottawatomie County: 41.2 %Pottawatomie County41.2Custer County: 41 %Custer County41Alfalfa County: 40.6 %Alfalfa County40.6Nowata County: 40.5 %Nowata County40.5Jackson County: 40.4 %Jackson County40.4Atoka County: 40.3 %Atoka County40.3
%. Source: CDC, 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.

Full ranking

RankCounties2023 (%)Change on 2022
1Sequoyah County47.1+5.9 pts
2Osage County46.4+6.1 pts
3Adair County46.2+2.7 pts
4Okfuskee County45.8+1.1 pts
5Choctaw County45.4+0.1 pts
6Okmulgee County45+1.1 pts
6Seminole County45+2.8 pts
8McIntosh County44.8+3.2 pts
9Lincoln County44.1+1.9 pts
9Texas County44.1+3.1 pts
11Tillman County44+1.5 pts
12Cotton County43.1+0.8 pts
13Comanche County43+0.1 pts
14Cherokee County42.9+0.2 pts
15Kiowa County42.7-2.9 pts
16Coal County42.60 pts
16Kay County42.6-0.8 pts
16McCurtain County42.6-2.3 pts
19Harmon County42.4-0.9 pts
19Washington County42.4+1.1 pts
21Latimer County42.3-2.9 pts
22Haskell County42.2-1.2 pts
23Greer County42.1+0.9 pts
24Hughes County41.9-5.4 pts
24Major County41.9+0.4 pts
26Craig County41.8-1.8 pts
26Mayes County41.8-1.2 pts
28Garfield County41.7-0.1 pts
28Ottawa County41.7-1.6 pts
30Noble County41.6+1.4 pts
31Muskogee County41.5-2.8 pts
31Woodward County41.5-0.3 pts
33Murray County41.4-2.9 pts
34Jefferson County41.2-4 pts
34Pottawatomie County41.2-1.2 pts
36Custer County41+4.4 pts
37Alfalfa County40.6+1.9 pts
38Nowata County40.5-0.6 pts
39Jackson County40.4-1.6 pts
40Atoka County40.3-2.4 pts
40Le Flore County40.3-2.2 pts
40Roger Mills County40.3-0.1 pts
43Caddo County40.2-0.5 pts
43Logan County40.2-1.9 pts
45Pittsburg County40.1-0.9 pts
45Rogers County40.1-0.9 pts
47Beckham County40-2.4 pts
47Bryan County40-0.8 pts
49Pontotoc County39.9-3.1 pts
50Creek County39.8+0.4 pts
51Carter County39.7-0.7 pts
51Pawnee County39.7-1 pts
53Ellis County39.6-1.3 pts
54Washita County39.5-1.2 pts
55Harper County39.4-3.9 pts
55Johnston County39.4-3.4 pts
55Marshall County39.4-3.3 pts
58Pushmataha County39.1-4.2 pts
58Stephens County39.1-3.1 pts
60Canadian County39-3.9 pts
61Love County38.8-4.4 pts
62Garvin County38.6-3.6 pts
63McClain County38.5+0.2 pts
64Beaver County38.4-0.2 pts
64Grady County38.4-2.8 pts
66Blaine County38.3-4.8 pts
67Dewey County38.2-2.5 pts
68Delaware County37.8-4.9 pts
69Oklahoma County37.7-1.4 pts
70Cimarron County37.6-0.7 pts
71Kingfisher County37.1-4.1 pts
72Woods County36.6-1.8 pts
73Cleveland County36.3+0.7 pts
73Grant County36.3-8.2 pts
75Wagoner County36.1-7.5 pts
76Tulsa County35.7-1 pts
77Payne County33.9-0.9 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

The publisher is the author. Invokely is named only as the place the figures were read, where a style asks for it.

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  - 
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Rank Counties in Oklahoma by adult obesity rate, local model estimate using official data, and cite the source.
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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

Counties in Oklahoma: more rankings