Counties in Minnesota by adult obesity rate, local model estimate

Mahnomen County had the highest adult obesity rate, local model estimate of 87 counties in 2021, at 43.8%. Hennepin County had the lowest, at 27.8%. The median was 36.5%. Source: the Centers for Disease Control and Prevention.

Keep it in a collection in your library.
Highest43.8Mahnomen County
Lowest27.8Hennepin County
Median36.587 counties

Map of counties, 2021

Aitkin County: 37.5 %Anoka County: 35.8 %Becker County: 42 %Beltrami County: 32.1 %Benton County: 39.9 %Big Stone County: 37.3 %Blue Earth County: 33.5 %Brown County: 35 %Carlton County: 40.6 %Carver County: 31.9 %Cass County: 36.3 %Chippewa County: 38 %Chisago County: 36.7 %Clay County: 34.1 %Clearwater County: 37.2 %Cook County: 31.4 %Cottonwood County: 36.9 %Crow Wing County: 31.6 %Dakota County: 32.5 %Dodge County: 35.9 %Douglas County: 37.2 %Faribault County: 38.3 %Fillmore County: 33.7 %Freeborn County: 36.2 %Goodhue County: 37.5 %Grant County: 36.7 %Hennepin County: 27.8 %Houston County: 34.9 %Hubbard County: 36.5 %Isanti County: 33.6 %Itasca County: 40.5 %Jackson County: 34.9 %Kanabec County: 39.9 %Kandiyohi County: 36.1 %Kittson County: 35.4 %Koochiching County: 35.5 %Lac qui Parle County: 35.6 %Lake County: 35.3 %Lake of the Woods County: 38.1 %Le Sueur County: 36.2 %Lincoln County: 35.5 %Lyon County: 36.6 %McLeod County: 38.4 %Mahnomen County: 43.8 %Marshall County: 37.8 %Martin County: 36.8 %Meeker County: 33.6 %Mille Lacs County: 39.7 %Morrison County: 37.6 %Mower County: 34.5 %Murray County: 34.8 %Nicollet County: 34 %Nobles County: 37.8 %Norman County: 37.4 %Olmsted County: 29.5 %Otter Tail County: 36.5 %Pennington County: 34 %Pine County: 42 %Pipestone County: 36.6 %Polk County: 39.6 %Pope County: 34.2 %Ramsey County: 31.7 %Red Lake County: 38.4 %Redwood County: 37.1 %Renville County: 37.9 %Rice County: 36.2 %Rock County: 35 %Roseau County: 36 %St. Louis County: 33.7 %Scott County: 34 %Sherburne County: 38.8 %Sibley County: 37.5 %Stearns County: 39.4 %Steele County: 40.4 %Stevens County: 31.3 %Swift County: 37.3 %Todd County: 39.5 %Traverse County: 37.2 %Wabasha County: 36.8 %Wadena County: 40.4 %Waseca County: 36.2 %Washington County: 31.4 %Watonwan County: 35.9 %Wilkin County: 39.1 %Winona County: 36.1 %Wright County: 34.6 %Yellow Medicine County: 37.4 %
  • Under 34
  • 34 to 35
  • 35 to 37
  • 37 to 39
  • 39 and over
%, 2021. 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, 2021

Mahnomen County: 43.8 %Mahnomen County43.8Becker County: 42 %Becker County42Pine County: 42 %Pine County42Carlton County: 40.6 %Carlton County40.6Itasca County: 40.5 %Itasca County40.5Steele County: 40.4 %Steele County40.4Wadena County: 40.4 %Wadena County40.4Benton County: 39.9 %Benton County39.9Kanabec County: 39.9 %Kanabec County39.9Mille Lacs County: 39.7 %Mille Lacs County39.7Polk County: 39.6 %Polk County39.6Todd County: 39.5 %Todd County39.5Stearns County: 39.4 %Stearns County39.4Wilkin County: 39.1 %Wilkin County39.1Sherburne County: 38.8 %Sherburne County38.8McLeod County: 38.4 %McLeod County38.4Red Lake County: 38.4 %Red Lake County38.4Faribault County: 38.3 %Faribault County38.3Lake of the Woods County: 38.1 %Lake of the Woods County38.1Chippewa County: 38 %Chippewa County38Renville County: 37.9 %Renville County37.9Marshall County: 37.8 %Marshall County37.8Nobles County: 37.8 %Nobles County37.8Morrison County: 37.6 %Morrison County37.6Aitkin County: 37.5 %Aitkin County37.5Goodhue County: 37.5 %Goodhue County37.5Sibley County: 37.5 %Sibley County37.5Norman County: 37.4 %Norman County37.4Yellow Medicine County: 37.4 %Yellow Medicine County37.4Big Stone County: 37.3 %Big Stone County37.3Swift County: 37.3 %Swift County37.3Clearwater County: 37.2 %Clearwater County37.2Douglas County: 37.2 %Douglas County37.2Traverse County: 37.2 %Traverse County37.2Redwood County: 37.1 %Redwood County37.1Cottonwood County: 36.9 %Cottonwood County36.9Martin County: 36.8 %Martin County36.8Wabasha County: 36.8 %Wabasha County36.8Chisago County: 36.7 %Chisago County36.7Grant County: 36.7 %Grant County36.7Mahnomen County: 43.8 %Mahnomen County43.8Becker County: 42 %Becker County42Pine County: 42 %Pine County42Carlton County: 40.6 %Carlton County40.6Itasca County: 40.5 %Itasca County40.5Steele County: 40.4 %Steele County40.4Wadena County: 40.4 %Wadena County40.4Benton County: 39.9 %Benton County39.9Kanabec County: 39.9 %Kanabec County39.9Mille Lacs County: 39.7 %Mille Lacs County39.7Polk County: 39.6 %Polk County39.6Todd County: 39.5 %Todd County39.5Stearns County: 39.4 %Stearns County39.4Wilkin County: 39.1 %Wilkin County39.1Sherburne County: 38.8 %Sherburne County38.8McLeod County: 38.4 %McLeod County38.4Red Lake County: 38.4 %Red Lake County38.4Faribault County: 38.3 %Faribault County38.3Lake of the Woods County: 38.1 %Lake of the Woods County38.1Chippewa County: 38 %Chippewa County38Renville County: 37.9 %Renville County37.9Marshall County: 37.8 %Marshall County37.8Nobles County: 37.8 %Nobles County37.8Morrison County: 37.6 %Morrison County37.6Aitkin County: 37.5 %Aitkin County37.5Goodhue County: 37.5 %Goodhue County37.5Sibley County: 37.5 %Sibley County37.5Norman County: 37.4 %Norman County37.4Yellow Medicine County: 37.4 %Yellow Medicine County37.4Big Stone County: 37.3 %Big Stone County37.3Swift County: 37.3 %Swift County37.3Clearwater County: 37.2 %Clearwater County37.2Douglas County: 37.2 %Douglas County37.2Traverse County: 37.2 %Traverse County37.2Redwood County: 37.1 %Redwood County37.1Cottonwood County: 36.9 %Cottonwood County36.9Martin County: 36.8 %Martin County36.8Wabasha County: 36.8 %Wabasha County36.8Chisago County: 36.7 %Chisago County36.7Grant County: 36.7 %Grant County36.7
%. 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

RankCounties2021 (%)
1Mahnomen County43.8
2Becker County42
2Pine County42
4Carlton County40.6
5Itasca County40.5
6Steele County40.4
6Wadena County40.4
8Benton County39.9
8Kanabec County39.9
10Mille Lacs County39.7
11Polk County39.6
12Todd County39.5
13Stearns County39.4
14Wilkin County39.1
15Sherburne County38.8
16McLeod County38.4
16Red Lake County38.4
18Faribault County38.3
19Lake of the Woods County38.1
20Chippewa County38
21Renville County37.9
22Marshall County37.8
22Nobles County37.8
24Morrison County37.6
25Aitkin County37.5
25Goodhue County37.5
25Sibley County37.5
28Norman County37.4
28Yellow Medicine County37.4
30Big Stone County37.3
30Swift County37.3
32Clearwater County37.2
32Douglas County37.2
32Traverse County37.2
35Redwood County37.1
36Cottonwood County36.9
37Martin County36.8
37Wabasha County36.8
39Chisago County36.7
39Grant County36.7
41Lyon County36.6
41Pipestone County36.6
43Hubbard County36.5
43Otter Tail County36.5
45Cass County36.3
46Freeborn County36.2
46Le Sueur County36.2
46Rice County36.2
46Waseca County36.2
50Kandiyohi County36.1
50Winona County36.1
52Roseau County36
53Dodge County35.9
53Watonwan County35.9
55Anoka County35.8
56Lac qui Parle County35.6
57Koochiching County35.5
57Lincoln County35.5
59Kittson County35.4
60Lake County35.3
61Brown County35
61Rock County35
63Houston County34.9
63Jackson County34.9
65Murray County34.8
66Wright County34.6
67Mower County34.5
68Pope County34.2
69Clay County34.1
70Nicollet County34
70Pennington County34
70Scott County34
73Fillmore County33.7
73St. Louis County33.7
75Isanti County33.6
75Meeker County33.6
77Blue Earth County33.5
78Dakota County32.5
79Beltrami County32.1
80Carver County31.9
81Ramsey County31.7
82Crow Wing County31.6
83Cook County31.4
83Washington County31.4
85Stevens County31.3
86Olmsted County29.5
87Hennepin County27.8

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, 2021) [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, 2021. 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?period=2021. 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, 2021. 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?period=2021.

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, 2021 [Dataset]. Available at: https://www.cdc.gov/places/, via Invokely: https://invokely.ai/rankings/adult-obesity-rate-county-estimate/minnesota-counties?period=2021 (Accessed: 12 October 2026).

BibTeX
@misc{centers_counties_in_minnesota_by_2021,
  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, 2021}},
  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?period=2021. 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, 2021
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?period=2021
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/adult-obesity-rate-county-estimate/minnesota-counties?period=2021.
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 2021, according to the Centers for Disease Control and Prevention.

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

Hennepin County, with 27.8% in 2021.

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