Data / Rankings / Adult obesity rate, local model estimate / Counties in Minnesota

Counties in Minnesota by adult obesity rate, local model estimate, 2023

Mahnomen County had the highest adult obesity rate, local model estimate of 87 counties in 2023, at 43.8%. Hennepin County had the lowest, at 27.1%. The median was 36.8%. Source: the Centers for Disease Control and Prevention.

Keep it in a collection in your library.
Highest43.8Mahnomen County
Lowest27.1Hennepin County
Median36.887 counties

Map of counties, 2023

Aitkin County: 33.2 %Anoka County: 36.2 %Becker County: 37.3 %Beltrami County: 38.5 %Benton County: 41.5 %Big Stone County: 37.6 %Blue Earth County: 33.8 %Brown County: 35.5 %Carlton County: 38.8 %Carver County: 32 %Cass County: 36.9 %Chippewa County: 40.4 %Chisago County: 36.5 %Clay County: 32.9 %Clearwater County: 34.5 %Cook County: 35.3 %Cottonwood County: 39.2 %Crow Wing County: 37.5 %Dakota County: 34.5 %Dodge County: 35.2 %Douglas County: 35.2 %Faribault County: 37.6 %Fillmore County: 40.5 %Freeborn County: 36 %Goodhue County: 36 %Grant County: 39.7 %Hennepin County: 27.1 %Houston County: 34.1 %Hubbard County: 35.4 %Isanti County: 32.8 %Itasca County: 36 %Jackson County: 35.8 %Kanabec County: 37.6 %Kandiyohi County: 40.6 %Kittson County: 34 %Koochiching County: 37 %Lac qui Parle County: 34 %Lake County: 35.4 %Lake of the Woods County: 36.2 %Le Sueur County: 35.3 %Lincoln County: 36.6 %Lyon County: 37.9 %McLeod County: 42 %Mahnomen County: 43.8 %Marshall County: 39 %Martin County: 36.3 %Meeker County: 37.1 %Mille Lacs County: 38.5 %Morrison County: 37.2 %Mower County: 37.9 %Murray County: 36.3 %Nicollet County: 33.2 %Nobles County: 38.6 %Norman County: 35.6 %Olmsted County: 36.4 %Otter Tail County: 34.3 %Pennington County: 40.2 %Pine County: 39.6 %Pipestone County: 38.5 %Polk County: 39.4 %Pope County: 38.9 %Ramsey County: 32.1 %Red Lake County: 38.6 %Redwood County: 36.5 %Renville County: 38.8 %Rice County: 37.5 %Rock County: 36.6 %Roseau County: 35.9 %St. Louis County: 35.2 %Scott County: 32 %Sherburne County: 39 %Sibley County: 38.8 %Stearns County: 36 %Steele County: 37.4 %Stevens County: 36.8 %Swift County: 38.4 %Todd County: 39.3 %Traverse County: 38.7 %Wabasha County: 37.5 %Wadena County: 38.4 %Waseca County: 39.1 %Washington County: 32.5 %Watonwan County: 36.8 %Wilkin County: 38.6 %Winona County: 33.8 %Wright County: 35.4 %Yellow Medicine County: 38.8 %
  • Under 34
  • 34 to 36
  • 36 to 37
  • 37 to 38
  • 38 to 39
  • 39 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

Mahnomen County: 43.8 %Mahnomen County43.8McLeod County: 42 %McLeod County42Benton County: 41.5 %Benton County41.5Kandiyohi County: 40.6 %Kandiyohi County40.6Fillmore County: 40.5 %Fillmore County40.5Chippewa County: 40.4 %Chippewa County40.4Pennington County: 40.2 %Pennington County40.2Grant County: 39.7 %Grant County39.7Pine County: 39.6 %Pine County39.6Polk County: 39.4 %Polk County39.4Todd County: 39.3 %Todd County39.3Cottonwood County: 39.2 %Cottonwood County39.2Waseca County: 39.1 %Waseca County39.1Marshall County: 39 %Marshall County39Sherburne County: 39 %Sherburne County39Pope County: 38.9 %Pope County38.9Carlton County: 38.8 %Carlton County38.8Renville County: 38.8 %Renville County38.8Sibley County: 38.8 %Sibley County38.8Yellow Medicine County: 38.8 %Yellow Medicine County38.8Traverse County: 38.7 %Traverse County38.7Nobles County: 38.6 %Nobles County38.6Red Lake County: 38.6 %Red Lake County38.6Wilkin County: 38.6 %Wilkin County38.6Beltrami County: 38.5 %Beltrami County38.5Mille Lacs County: 38.5 %Mille Lacs County38.5Pipestone County: 38.5 %Pipestone County38.5Swift County: 38.4 %Swift County38.4Wadena County: 38.4 %Wadena County38.4Lyon County: 37.9 %Lyon County37.9Mower County: 37.9 %Mower County37.9Big Stone County: 37.6 %Big Stone County37.6Faribault County: 37.6 %Faribault County37.6Kanabec County: 37.6 %Kanabec County37.6Crow Wing County: 37.5 %Crow Wing County37.5Rice County: 37.5 %Rice County37.5Wabasha County: 37.5 %Wabasha County37.5Steele County: 37.4 %Steele County37.4Becker County: 37.3 %Becker County37.3Morrison County: 37.2 %Morrison County37.2Mahnomen County: 43.8 %Mahnomen County43.8McLeod County: 42 %McLeod County42Benton County: 41.5 %Benton County41.5Kandiyohi County: 40.6 %Kandiyohi County40.6Fillmore County: 40.5 %Fillmore County40.5Chippewa County: 40.4 %Chippewa County40.4Pennington County: 40.2 %Pennington County40.2Grant County: 39.7 %Grant County39.7Pine County: 39.6 %Pine County39.6Polk County: 39.4 %Polk County39.4Todd County: 39.3 %Todd County39.3Cottonwood County: 39.2 %Cottonwood County39.2Waseca County: 39.1 %Waseca County39.1Marshall County: 39 %Marshall County39Sherburne County: 39 %Sherburne County39Pope County: 38.9 %Pope County38.9Carlton County: 38.8 %Carlton County38.8Renville County: 38.8 %Renville County38.8Sibley County: 38.8 %Sibley County38.8Yellow Medicine County: 38.8 %Yellow Medicine County38.8Traverse County: 38.7 %Traverse County38.7Nobles County: 38.6 %Nobles County38.6Red Lake County: 38.6 %Red Lake County38.6Wilkin County: 38.6 %Wilkin County38.6Beltrami County: 38.5 %Beltrami County38.5Mille Lacs County: 38.5 %Mille Lacs County38.5Pipestone County: 38.5 %Pipestone County38.5Swift County: 38.4 %Swift County38.4Wadena County: 38.4 %Wadena County38.4Lyon County: 37.9 %Lyon County37.9Mower County: 37.9 %Mower County37.9Big Stone County: 37.6 %Big Stone County37.6Faribault County: 37.6 %Faribault County37.6Kanabec County: 37.6 %Kanabec County37.6Crow Wing County: 37.5 %Crow Wing County37.5Rice County: 37.5 %Rice County37.5Wabasha County: 37.5 %Wabasha County37.5Steele County: 37.4 %Steele County37.4Becker County: 37.3 %Becker County37.3Morrison County: 37.2 %Morrison County37.2
%. 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
1Mahnomen County43.8+0.2 pts
2McLeod County42+1.8 pts
3Benton County41.5+4.1 pts
4Kandiyohi County40.6+4.2 pts
5Fillmore County40.5+3.5 pts
6Chippewa County40.4-0.6 pts
7Pennington County40.2+9.6 pts
8Grant County39.7+1.6 pts
9Pine County39.6+0.2 pts
10Polk County39.4+0.9 pts
11Todd County39.3-1 pts
12Cottonwood County39.2+1.2 pts
13Waseca County39.1-1.8 pts
14Marshall County39-2.8 pts
14Sherburne County39+0.8 pts
16Pope County38.9+1 pts
17Carlton County38.8-2.5 pts
17Renville County38.8+0.7 pts
17Sibley County38.8-1.8 pts
17Yellow Medicine County38.8-0.5 pts
21Traverse County38.7+0.9 pts
22Nobles County38.6-1.5 pts
22Red Lake County38.6+1.5 pts
22Wilkin County38.6-2.7 pts
25Beltrami County38.5-1.4 pts
25Mille Lacs County38.5-4.5 pts
25Pipestone County38.5-0.5 pts
28Swift County38.4-0.5 pts
28Wadena County38.4-4.2 pts
30Lyon County37.9-7.2 pts
30Mower County37.9-2.4 pts
32Big Stone County37.6-4.3 pts
32Faribault County37.6+0.4 pts
32Kanabec County37.6-0.2 pts
35Crow Wing County37.5-0.3 pts
35Rice County37.5+3.6 pts
35Wabasha County37.5+4.4 pts
38Steele County37.4+0.4 pts
39Becker County37.3-1.7 pts
40Morrison County37.2-2.7 pts
41Meeker County37.1-3.5 pts
42Koochiching County37-0.1 pts
43Cass County36.9-0.7 pts
44Stevens County36.8+1.7 pts
44Watonwan County36.8-1.7 pts
46Lincoln County36.6-1 pts
46Rock County36.6-1.2 pts
48Chisago County36.5-2 pts
48Redwood County36.5-1.8 pts
50Olmsted County36.4+1.1 pts
51Martin County36.3-1.3 pts
51Murray County36.3-3.8 pts
53Anoka County36.2-0.2 pts
53Lake of the Woods County36.2-2.3 pts
55Freeborn County36-4.3 pts
55Goodhue County36-0.4 pts
55Itasca County36+1.6 pts
55Stearns County36-1 pts
59Roseau County35.9+2.2 pts
60Jackson County35.8-4 pts
61Norman County35.6-1.5 pts
62Brown County35.5-3.5 pts
63Hubbard County35.4-4.2 pts
63Lake County35.4+0.4 pts
63Wright County35.4-2.6 pts
66Cook County35.3-0.1 pts
66Le Sueur County35.3-3.7 pts
68Dodge County35.2-2.8 pts
68Douglas County35.2-2.8 pts
68St. Louis County35.2-0.7 pts
71Clearwater County34.5-4.2 pts
71Dakota County34.5+1.2 pts
73Otter Tail County34.3-3.3 pts
74Houston County34.1-4.1 pts
75Kittson County34-4.3 pts
75Lac qui Parle County34-0.5 pts
77Blue Earth County33.8-5.1 pts
77Winona County33.8+1.6 pts
79Aitkin County33.2-2.1 pts
79Nicollet County33.2-2.3 pts
81Clay County32.9-1 pts
82Isanti County32.8-6.3 pts
83Washington County32.5+1.4 pts
84Ramsey County32.1-0.2 pts
85Carver County32-1.7 pts
85Scott County32-2.1 pts
87Hennepin County27.1-0.2 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 Minnesota 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 Minnesota 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/minnesota-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 Minnesota 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/minnesota-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 Minnesota 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/minnesota-counties (Accessed: 12 October 2026).

BibTeX
@misc{centers_counties_in_minnesota_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 Minnesota 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/minnesota-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 Minnesota 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/minnesota-counties
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/adult-obesity-rate-county-estimate/minnesota-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  -
Embed this chart

Paste this code into a web page or a blog post. The chart shows the latest figures as they are published, with the source and a link back to this page.

Sites that read oEmbed links, such as WordPress, can show the chart when you paste the link to this page.

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 Minnesota by adult obesity rate, local model estimate using official data, and cite the source.
rank_places {"indicator":"adult_obesity_rate_modelled","level":"province","within":"Minnesota","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=adult_obesity_rate_modelled&level=province&within=Minnesota&limit=10

Connect Claude, ChatGPT or Cursor in one step. The trial answers 25 calls a day without an account.

Questions

Which county has the highest adult obesity rate, local model estimate?

Mahnomen County, with 43.8% in 2023, according to the Centers for Disease Control and Prevention.

Which county has the lowest adult obesity rate, local model estimate?

Hennepin County, with 27.1% 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 Minnesota: more rankings