Data / Rankings / High cholesterol in screened adults, local model estimate / Counties in Minnesota

Counties in Minnesota by high cholesterol in screened adults, local model estimate

Aitkin County had the highest high cholesterol in screened adults, local model estimate of 87 counties in 2021, at 38.7%. Blue Earth County had the lowest, at 26.9%. The median was 33.3%. Source: the Centers for Disease Control and Prevention.

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Highest38.7Aitkin County
Lowest26.9Blue Earth County
Median33.387 counties

Map of counties, 2021

Aitkin County: 38.7 %Anoka County: 31.6 %Becker County: 33.9 %Beltrami County: 31.2 %Benton County: 28.1 %Big Stone County: 36.3 %Blue Earth County: 26.9 %Brown County: 30.9 %Carlton County: 31.7 %Carver County: 30.2 %Cass County: 35.3 %Chippewa County: 34.6 %Chisago County: 31 %Clay County: 29.2 %Clearwater County: 33.5 %Cook County: 36 %Cottonwood County: 33.7 %Crow Wing County: 32.9 %Dakota County: 29.3 %Dodge County: 30.5 %Douglas County: 32.9 %Faribault County: 34.9 %Fillmore County: 34.6 %Freeborn County: 36.3 %Goodhue County: 33.1 %Grant County: 34.8 %Hennepin County: 29.5 %Houston County: 31.4 %Hubbard County: 38.2 %Isanti County: 32.4 %Itasca County: 35.4 %Jackson County: 33 %Kanabec County: 34 %Kandiyohi County: 32.5 %Kittson County: 34.6 %Koochiching County: 38.5 %Lac qui Parle County: 34.9 %Lake County: 34.5 %Lake of the Woods County: 36.6 %Le Sueur County: 33.3 %Lincoln County: 34.4 %Lyon County: 31.4 %McLeod County: 32.8 %Mahnomen County: 32.7 %Marshall County: 34.7 %Martin County: 34.5 %Meeker County: 33.8 %Mille Lacs County: 32.1 %Morrison County: 34.3 %Mower County: 30.4 %Murray County: 35.8 %Nicollet County: 31.1 %Nobles County: 32.4 %Norman County: 33.8 %Olmsted County: 29.1 %Otter Tail County: 36.2 %Pennington County: 31.9 %Pine County: 35.3 %Pipestone County: 34.4 %Polk County: 35.6 %Pope County: 35.3 %Ramsey County: 30.7 %Red Lake County: 35.1 %Redwood County: 34.2 %Renville County: 34.5 %Rice County: 28.7 %Rock County: 32.4 %Roseau County: 33.5 %St. Louis County: 30.5 %Scott County: 29.4 %Sherburne County: 29.3 %Sibley County: 31.8 %Stearns County: 31.8 %Steele County: 32.5 %Stevens County: 31.2 %Swift County: 34.1 %Todd County: 35.9 %Traverse County: 35.8 %Wabasha County: 33.4 %Wadena County: 35.2 %Waseca County: 32.5 %Washington County: 32.1 %Watonwan County: 33.1 %Wilkin County: 34.7 %Winona County: 29.9 %Wright County: 29.2 %Yellow Medicine County: 34 %
  • Under 31
  • 31 to 32
  • 32 to 33
  • 33 to 34
  • 34 to 35
  • 35 and over
%, 2021. Source: CDC, PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh and later releases), high cholesterol in screened adults, crude prevalence. Boundaries: U.S. Census Bureau cartographic boundary files.

Top 40 counties, 2021

Aitkin County: 38.7 %Aitkin County38.7Koochiching County: 38.5 %Koochiching County38.5Hubbard County: 38.2 %Hubbard County38.2Lake of the Woods County: 36.6 %Lake of the Woods County36.6Big Stone County: 36.3 %Big Stone County36.3Freeborn County: 36.3 %Freeborn County36.3Otter Tail County: 36.2 %Otter Tail County36.2Cook County: 36 %Cook County36Todd County: 35.9 %Todd County35.9Murray County: 35.8 %Murray County35.8Traverse County: 35.8 %Traverse County35.8Polk County: 35.6 %Polk County35.6Itasca County: 35.4 %Itasca County35.4Cass County: 35.3 %Cass County35.3Pine County: 35.3 %Pine County35.3Pope County: 35.3 %Pope County35.3Wadena County: 35.2 %Wadena County35.2Red Lake County: 35.1 %Red Lake County35.1Faribault County: 34.9 %Faribault County34.9Lac qui Parle County: 34.9 %Lac qui Parle County34.9Grant County: 34.8 %Grant County34.8Marshall County: 34.7 %Marshall County34.7Wilkin County: 34.7 %Wilkin County34.7Chippewa County: 34.6 %Chippewa County34.6Fillmore County: 34.6 %Fillmore County34.6Kittson County: 34.6 %Kittson County34.6Lake County: 34.5 %Lake County34.5Martin County: 34.5 %Martin County34.5Renville County: 34.5 %Renville County34.5Lincoln County: 34.4 %Lincoln County34.4Pipestone County: 34.4 %Pipestone County34.4Morrison County: 34.3 %Morrison County34.3Redwood County: 34.2 %Redwood County34.2Swift County: 34.1 %Swift County34.1Kanabec County: 34 %Kanabec County34Yellow Medicine County: 34 %Yellow Medicine County34Becker County: 33.9 %Becker County33.9Meeker County: 33.8 %Meeker County33.8Norman County: 33.8 %Norman County33.8Cottonwood County: 33.7 %Cottonwood County33.7Aitkin County: 38.7 %Aitkin County38.7Koochiching County: 38.5 %Koochiching County38.5Hubbard County: 38.2 %Hubbard County38.2Lake of the Woods County: 36.6 %Lake of the Woods County36.6Big Stone County: 36.3 %Big Stone County36.3Freeborn County: 36.3 %Freeborn County36.3Otter Tail County: 36.2 %Otter Tail County36.2Cook County: 36 %Cook County36Todd County: 35.9 %Todd County35.9Murray County: 35.8 %Murray County35.8Traverse County: 35.8 %Traverse County35.8Polk County: 35.6 %Polk County35.6Itasca County: 35.4 %Itasca County35.4Cass County: 35.3 %Cass County35.3Pine County: 35.3 %Pine County35.3Pope County: 35.3 %Pope County35.3Wadena County: 35.2 %Wadena County35.2Red Lake County: 35.1 %Red Lake County35.1Faribault County: 34.9 %Faribault County34.9Lac qui Parle County: 34.9 %Lac qui Parle County34.9Grant County: 34.8 %Grant County34.8Marshall County: 34.7 %Marshall County34.7Wilkin County: 34.7 %Wilkin County34.7Chippewa County: 34.6 %Chippewa County34.6Fillmore County: 34.6 %Fillmore County34.6Kittson County: 34.6 %Kittson County34.6Lake County: 34.5 %Lake County34.5Martin County: 34.5 %Martin County34.5Renville County: 34.5 %Renville County34.5Lincoln County: 34.4 %Lincoln County34.4Pipestone County: 34.4 %Pipestone County34.4Morrison County: 34.3 %Morrison County34.3Redwood County: 34.2 %Redwood County34.2Swift County: 34.1 %Swift County34.1Kanabec County: 34 %Kanabec County34Yellow Medicine County: 34 %Yellow Medicine County34Becker County: 33.9 %Becker County33.9Meeker County: 33.8 %Meeker County33.8Norman County: 33.8 %Norman County33.8Cottonwood County: 33.7 %Cottonwood County33.7
%. Source: CDC, PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh and later releases), high cholesterol in screened adults, crude prevalence. Retrieved 2026-10-12.

Full ranking

RankCounties2021 (%)
1Aitkin County38.7
2Koochiching County38.5
3Hubbard County38.2
4Lake of the Woods County36.6
5Big Stone County36.3
5Freeborn County36.3
7Otter Tail County36.2
8Cook County36
9Todd County35.9
10Murray County35.8
10Traverse County35.8
12Polk County35.6
13Itasca County35.4
14Cass County35.3
14Pine County35.3
14Pope County35.3
17Wadena County35.2
18Red Lake County35.1
19Faribault County34.9
19Lac qui Parle County34.9
21Grant County34.8
22Marshall County34.7
22Wilkin County34.7
24Chippewa County34.6
24Fillmore County34.6
24Kittson County34.6
27Lake County34.5
27Martin County34.5
27Renville County34.5
30Lincoln County34.4
30Pipestone County34.4
32Morrison County34.3
33Redwood County34.2
34Swift County34.1
35Kanabec County34
35Yellow Medicine County34
37Becker County33.9
38Meeker County33.8
38Norman County33.8
40Cottonwood County33.7
41Clearwater County33.5
41Roseau County33.5
43Wabasha County33.4
44Le Sueur County33.3
45Goodhue County33.1
45Watonwan County33.1
47Jackson County33
48Crow Wing County32.9
48Douglas County32.9
50McLeod County32.8
51Mahnomen County32.7
52Kandiyohi County32.5
52Steele County32.5
52Waseca County32.5
55Isanti County32.4
55Nobles County32.4
55Rock County32.4
58Mille Lacs County32.1
58Washington County32.1
60Pennington County31.9
61Sibley County31.8
61Stearns County31.8
63Carlton County31.7
64Anoka County31.6
65Houston County31.4
65Lyon County31.4
67Beltrami County31.2
67Stevens County31.2
69Nicollet County31.1
70Chisago County31
71Brown County30.9
72Ramsey County30.7
73Dodge County30.5
73St. Louis County30.5
75Mower County30.4
76Carver County30.2
77Winona County29.9
78Hennepin County29.5
79Scott County29.4
80Dakota County29.3
80Sherburne County29.3
82Clay County29.2
82Wright County29.2
84Olmsted County29.1
85Rice County28.7
86Benton County28.1
87Blue Earth County26.9

Other periods

About this ranking

Percentage of adults who have ever had their cholesterol checked and were told by a doctor, nurse or other health professional that it was high. 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 2021; its eight former counties are not served. The question is asked in odd years only.

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 and later releases), high cholesterol in screened adults, 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 and later releases), high cholesterol in screened adults, crude prevalence (Counties in Minnesota by high cholesterol in screened adults, 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 and later releases), high cholesterol in screened adults, crude prevalence, Counties in Minnesota by high cholesterol in screened adults, local model estimate, 2021. Centers for Disease Control and Prevention, 4 Dec. 2025, https://www.cdc.gov/places/. Invokely, https://invokely.ai/rankings/adult-high-cholesterol-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 and later releases), high cholesterol in screened adults, crude prevalence. Counties in Minnesota by high cholesterol in screened adults, local model estimate, 2021. Dataset. Accessed October 12, 2026. https://www.cdc.gov/places/. Also distributed by Invokely, https://invokely.ai/rankings/adult-high-cholesterol-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 and later releases), high cholesterol in screened adults, crude prevalence, Counties in Minnesota by high cholesterol in screened adults, local model estimate, 2021 [Dataset]. Available at: https://www.cdc.gov/places/, via Invokely: https://invokely.ai/rankings/adult-high-cholesterol-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 and later releases), high cholesterol in screened adults, crude prevalence: Counties in Minnesota by high cholesterol in screened adults, 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-high-cholesterol-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 and later releases), high cholesterol in screened adults, 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 and later releases), high cholesterol in screened adults, crude prevalence: Counties in Minnesota by high cholesterol in screened adults, 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-high-cholesterol-rate-county-estimate/minnesota-counties?period=2021
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/adult-high-cholesterol-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 and later releases), high cholesterol in screened adults, 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 Minnesota by high cholesterol in screened adults, local model estimate using official data, and cite the source.
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Questions

Which county has the highest high cholesterol in screened adults, local model estimate?

Aitkin County, with 38.7% in 2021, according to the Centers for Disease Control and Prevention.

Which county has the lowest high cholesterol in screened adults, local model estimate?

Blue Earth County, with 26.9% 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 and later releases), high cholesterol in screened adults, crude prevalence. Retrieved 2026-10-12.

High cholesterol in screened adults, local model estimate: other rankings

Counties in Minnesota: more rankings