Counties in Wisconsin by adult obesity rate, local model estimate, 2023
Forest County had the highest adult obesity rate, local model estimate of 72 counties in 2023, at 46%. Eau Claire County had the lowest, at 30%. The median was 39.1%. Source: the Centers for Disease Control and Prevention.
Map of counties, 2023
- Under 36
- 36 to 38
- 38 to 39
- 39 to 40
- 40 to 42
- 42 and over
Top 40 counties, 2023
Full ranking
| Rank | Counties | 2023 (%) | Change on 2022 |
|---|---|---|---|
| 1 | Forest County | 46 | +3.1 pts |
| 2 | Menominee County | 45.4 | +2.6 pts |
| 3 | Monroe County | 44.4 | +5.6 pts |
| 4 | Taylor County | 44.3 | +3.3 pts |
| 5 | Fond du Lac County | 43.8 | +2.2 pts |
| 6 | Marquette County | 43.4 | +2.1 pts |
| 7 | Dodge County | 42.8 | +2.1 pts |
| 7 | Lincoln County | 42.8 | +1.8 pts |
| 9 | Oconto County | 42.7 | +1.9 pts |
| 10 | Price County | 42.5 | +0.4 pts |
| 11 | Racine County | 42.3 | +2.6 pts |
| 12 | Juneau County | 42.1 | +2.7 pts |
| 13 | Lafayette County | 41.9 | +2.9 pts |
| 13 | Rock County | 41.9 | +3.8 pts |
| 15 | Chippewa County | 41.7 | +1.5 pts |
| 16 | Kewaunee County | 41.3 | +2 pts |
| 16 | Trempealeau County | 41.3 | +2 pts |
| 18 | Ashland County | 41.2 | +3.6 pts |
| 19 | Brown County | 41.1 | +4.7 pts |
| 19 | Rusk County | 41.1 | +3.9 pts |
| 21 | Douglas County | 41 | +0.5 pts |
| 22 | Grant County | 40.9 | +2.3 pts |
| 23 | Jefferson County | 40.7 | +1 pts |
| 24 | Green Lake County | 40.4 | -1.1 pts |
| 24 | Jackson County | 40.4 | -4.5 pts |
| 24 | Sauk County | 40.4 | +0.8 pts |
| 24 | Shawano County | 40.4 | -5.2 pts |
| 28 | Adams County | 40.3 | +0.9 pts |
| 28 | Green County | 40.3 | -0.1 pts |
| 30 | Kenosha County | 40.1 | -2.9 pts |
| 31 | Winnebago County | 40 | +1.6 pts |
| 31 | Wood County | 40 | -0.5 pts |
| 33 | Waushara County | 39.7 | -1.8 pts |
| 34 | Buffalo County | 39.6 | -0.7 pts |
| 35 | Bayfield County | 39.1 | +1.5 pts |
| 35 | Manitowoc County | 39.1 | -4.5 pts |
| 37 | Burnett County | 39 | -3.2 pts |
| 38 | Dunn County | 38.8 | -0.5 pts |
| 38 | Vernon County | 38.8 | -1.3 pts |
| 40 | Iowa County | 38.7 | -1 pts |
| 41 | Milwaukee County | 38.6 | -0.4 pts |
| 42 | Vilas County | 38.4 | +3.2 pts |
| 42 | Walworth County | 38.4 | +6.2 pts |
| 44 | Barron County | 38.3 | -1.2 pts |
| 45 | Waupaca County | 38.2 | +1.4 pts |
| 46 | Clark County | 37.9 | -5 pts |
| 47 | Marinette County | 37.8 | -4.1 pts |
| 48 | Florence County | 37.5 | -3.7 pts |
| 48 | La Crosse County | 37.5 | +4.4 pts |
| 48 | Richland County | 37.5 | -3.6 pts |
| 51 | Crawford County | 37.4 | -1.3 pts |
| 52 | Langlade County | 37.1 | -2.8 pts |
| 53 | Door County | 36.6 | -0.1 pts |
| 53 | Outagamie County | 36.6 | -3.2 pts |
| 53 | Pepin County | 36.6 | -2.7 pts |
| 53 | Sheboygan County | 36.6 | -4.3 pts |
| 57 | Washington County | 36.4 | -1.3 pts |
| 58 | Marathon County | 36.3 | +0.4 pts |
| 58 | St. Croix County | 36.3 | +1.9 pts |
| 60 | Polk County | 35.6 | -4.3 pts |
| 60 | Washburn County | 35.6 | +0.2 pts |
| 62 | Oneida County | 35.2 | -2.9 pts |
| 63 | Portage County | 35.1 | +0.4 pts |
| 64 | Iron County | 34.7 | -3 pts |
| 65 | Sawyer County | 34.3 | -6.6 pts |
| 66 | Columbia County | 33.6 | -5.4 pts |
| 67 | Waukesha County | 33.4 | +0.7 pts |
| 68 | Calumet County | 33.3 | -7.1 pts |
| 69 | Pierce County | 33.2 | -0.3 pts |
| 70 | Dane County | 32.4 | +1.6 pts |
| 71 | Ozaukee County | 30.3 | -3.7 pts |
| 72 | Eau Claire County | 30 | -4.1 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 Wisconsin 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 Wisconsin 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/wisconsin-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 Wisconsin 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/wisconsin-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 Wisconsin 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/wisconsin-counties (Accessed: 12 October 2026).
BibTeX
@misc{centers_counties_in_wisconsin_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 Wisconsin 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/wisconsin-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 Wisconsin 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/wisconsin-counties
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/adult-obesity-rate-county-estimate/wisconsin-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 Wisconsin by adult obesity rate, local model estimate using official data, and cite the source.
rank_places {"indicator":"adult_obesity_rate_modelled","level":"province","within":"Wisconsin","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=adult_obesity_rate_modelled&level=province&within=Wisconsin&limit=10
Questions
Which county has the highest adult obesity rate, local model estimate?
Forest County, with 46% in 2023, according to the Centers for Disease Control and Prevention.
Which county has the lowest adult obesity rate, local model estimate?
Eau Claire County, with 30% 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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- Cities in Louisiana
- Cities in North Dakota
Counties in Wisconsin: more rankings
- Frequent mental distress in adults, local model estimate
- Uninsured rate, ages 18 to 64 (US model-based estimate)
- Adult cigarette smoking rate, local model estimate
- Coronary heart disease in adults, local model estimate
- Hispanic or Latino population share
- Population under 18
- Natural change, July to June
- Per capita income (US five-year survey estimate)