Counties in Kansas by adult obesity rate, local model estimate
Montgomery County had the highest adult obesity rate, local model estimate of 105 counties in 2022, at 44.8%. Riley County had the lowest, at 30.7%. The median was 39.3%. Source: the Centers for Disease Control and Prevention.
Map of counties, 2022
- Under 37
- 37 to 38
- 38 to 39
- 39 to 40
- 40 to 41
- 41 and over
Top 40 counties, 2022
Full ranking
| Rank | Counties | 2022 (%) | Change on 2021 |
|---|---|---|---|
| 1 | Montgomery County | 44.8 | +1.9 pts |
| 2 | Seward County | 44.7 | +1.7 pts |
| 3 | Jackson County | 43.3 | +3 pts |
| 4 | Labette County | 43.1 | -0.1 pts |
| 5 | Finney County | 42.9 | +4.3 pts |
| 6 | Kearny County | 42.7 | -0.5 pts |
| 7 | Neosho County | 42.4 | +2.8 pts |
| 7 | Stanton County | 42.4 | -0.1 pts |
| 9 | Cherokee County | 42.3 | -0.7 pts |
| 10 | Edwards County | 42.1 | +2.9 pts |
| 10 | Elk County | 42.1 | -0.2 pts |
| 12 | Harper County | 42 | +1.6 pts |
| 13 | Bourbon County | 41.9 | +1.8 pts |
| 14 | Jefferson County | 41.7 | +7.8 pts |
| 15 | Wyandotte County | 41.6 | -0.1 pts |
| 16 | Marshall County | 41.5 | +2 pts |
| 16 | Pawnee County | 41.5 | +5.1 pts |
| 18 | Barber County | 41.4 | +3 pts |
| 19 | Brown County | 41.3 | +3.5 pts |
| 19 | Wabaunsee County | 41.3 | +4.3 pts |
| 21 | Lincoln County | 41.2 | +2.6 pts |
| 22 | Cowley County | 41.1 | -1.8 pts |
| 23 | Cloud County | 40.9 | +4 pts |
| 23 | Kingman County | 40.9 | +3.3 pts |
| 25 | Barton County | 40.8 | +1.6 pts |
| 26 | Crawford County | 40.7 | +3.2 pts |
| 26 | Rawlins County | 40.7 | +2.2 pts |
| 28 | Allen County | 40.5 | -0.6 pts |
| 28 | Leavenworth County | 40.5 | +1.6 pts |
| 30 | Grant County | 40.4 | +4.7 pts |
| 30 | Smith County | 40.4 | +3.3 pts |
| 32 | Wichita County | 40.3 | +1 pts |
| 33 | Butler County | 40.2 | +0.2 pts |
| 33 | Greenwood County | 40.2 | -0.7 pts |
| 33 | Scott County | 40.2 | +1 pts |
| 36 | Osage County | 40.1 | -3.6 pts |
| 37 | Hamilton County | 40 | -0.5 pts |
| 37 | Haskell County | 40 | -0.2 pts |
| 37 | Meade County | 40 | +0.6 pts |
| 37 | Morris County | 40 | +3.4 pts |
| 41 | Norton County | 39.9 | +2.5 pts |
| 41 | Stevens County | 39.9 | +0.2 pts |
| 41 | Wallace County | 39.9 | +2.8 pts |
| 41 | Wilson County | 39.9 | +3 pts |
| 45 | Lane County | 39.8 | -2.2 pts |
| 46 | Chautauqua County | 39.7 | -2.8 pts |
| 46 | Clay County | 39.7 | +1.7 pts |
| 46 | Sumner County | 39.7 | -0.8 pts |
| 49 | Coffey County | 39.6 | +1.4 pts |
| 50 | Gove County | 39.5 | +1.6 pts |
| 50 | Washington County | 39.5 | -1.9 pts |
| 52 | Shawnee County | 39.4 | +0.3 pts |
| 53 | Sherman County | 39.3 | -0.1 pts |
| 54 | Cheyenne County | 39.2 | +1 pts |
| 54 | Gray County | 39.2 | +2.1 pts |
| 56 | Ellsworth County | 39.1 | +0.2 pts |
| 56 | Jewell County | 39.1 | -1.5 pts |
| 56 | Mitchell County | 39.1 | +1.7 pts |
| 59 | Linn County | 38.9 | +0.7 pts |
| 60 | Ellis County | 38.8 | +2.9 pts |
| 61 | Logan County | 38.7 | -0.9 pts |
| 62 | Dickinson County | 38.6 | +0.4 pts |
| 62 | Woodson County | 38.6 | -0.3 pts |
| 64 | Atchison County | 38.5 | -3.7 pts |
| 64 | Graham County | 38.5 | +2.2 pts |
| 66 | Chase County | 38.4 | +0.1 pts |
| 66 | Morton County | 38.4 | -0.5 pts |
| 68 | Republic County | 38.3 | +0.6 pts |
| 69 | Clark County | 38.2 | +0.1 pts |
| 70 | Ford County | 38.1 | -5.6 pts |
| 71 | Stafford County | 38 | -1.6 pts |
| 72 | Comanche County | 37.9 | +0.7 pts |
| 72 | Decatur County | 37.9 | +1.1 pts |
| 72 | Marion County | 37.9 | +1.7 pts |
| 75 | Osborne County | 37.8 | -0.7 pts |
| 76 | Doniphan County | 37.7 | -2 pts |
| 77 | Rooks County | 37.6 | +1.5 pts |
| 78 | Pratt County | 37.4 | -1.1 pts |
| 78 | Saline County | 37.4 | +1.3 pts |
| 80 | Phillips County | 37.3 | +0.4 pts |
| 80 | Reno County | 37.3 | -4.1 pts |
| 82 | Ness County | 37.1 | -0.4 pts |
| 83 | Sheridan County | 37 | -0.1 pts |
| 84 | Lyon County | 36.8 | -3.1 pts |
| 84 | Rush County | 36.8 | -4.2 pts |
| 86 | Ottawa County | 36.6 | -3.2 pts |
| 87 | Greeley County | 36.5 | -2.7 pts |
| 87 | Russell County | 36.5 | -2.8 pts |
| 89 | Harvey County | 36.4 | -2.5 pts |
| 89 | Hodgeman County | 36.4 | +0.5 pts |
| 91 | Anderson County | 36.2 | -2.7 pts |
| 91 | Trego County | 36.2 | +0.8 pts |
| 93 | Rice County | 35.9 | -1.6 pts |
| 94 | Miami County | 35.7 | -4.2 pts |
| 95 | Geary County | 35 | -5.4 pts |
| 96 | Douglas County | 34.8 | +5.2 pts |
| 97 | Franklin County | 34.3 | -6.3 pts |
| 98 | Kiowa County | 34.1 | 0 pts |
| 98 | McPherson County | 34.1 | -1.2 pts |
| 100 | Nemaha County | 33.3 | -3.7 pts |
| 101 | Sedgwick County | 33 | -6.2 pts |
| 101 | Thomas County | 33 | -4 pts |
| 103 | Johnson County | 31.7 | +2.3 pts |
| 104 | Pottawatomie County | 31.2 | -5.7 pts |
| 105 | Riley County | 30.7 | +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 Kansas by adult obesity rate, local model estimate, 2022) [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 Kansas by adult obesity rate, local model estimate, 2022. Centers for Disease Control and Prevention, 4 Dec. 2025, https://www.cdc.gov/places/. Invokely, https://invokely.ai/rankings/adult-obesity-rate-county-estimate/kansas-counties?period=2022. 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 Kansas by adult obesity rate, local model estimate, 2022. Dataset. Accessed October 12, 2026. https://www.cdc.gov/places/. Also distributed by Invokely, https://invokely.ai/rankings/adult-obesity-rate-county-estimate/kansas-counties?period=2022.
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 Kansas by adult obesity rate, local model estimate, 2022 [Dataset]. Available at: https://www.cdc.gov/places/, via Invokely: https://invokely.ai/rankings/adult-obesity-rate-county-estimate/kansas-counties?period=2022 (Accessed: 12 October 2026).
BibTeX
@misc{centers_counties_in_kansas_by_2022,
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 Kansas by adult obesity rate, local model estimate, 2022}},
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/kansas-counties?period=2022. 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 Kansas by adult obesity rate, local model estimate, 2022
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/kansas-counties?period=2022
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/adult-obesity-rate-county-estimate/kansas-counties?period=2022.
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 Kansas by adult obesity rate, local model estimate using official data, and cite the source.
rank_places {"indicator":"adult_obesity_rate_modelled","level":"province","within":"Kansas","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=adult_obesity_rate_modelled&level=province&within=Kansas&limit=10
Questions
Which county has the highest adult obesity rate, local model estimate?
Montgomery County, with 44.8% in 2022, according to the Centers for Disease Control and Prevention.
Which county has the lowest adult obesity rate, local model estimate?
Riley County, with 30.7% in 2022.
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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