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, 2023

Aitkin County had the highest high cholesterol in screened adults, local model estimate of 87 counties in 2023, at 39.7%. Blue Earth County had the lowest, at 29.8%. The median was 35.1%. Source: the Centers for Disease Control and Prevention.

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Highest39.7Aitkin County
Lowest29.8Blue Earth County
Median35.187 counties

Map of counties, 2023

Aitkin County: 39.7 %Anoka County: 32.3 %Becker County: 35.4 %Beltrami County: 32.7 %Benton County: 32.7 %Big Stone County: 37.9 %Blue Earth County: 29.8 %Brown County: 34.3 %Carlton County: 33.8 %Carver County: 30.3 %Cass County: 38.4 %Chippewa County: 35.5 %Chisago County: 35.1 %Clay County: 32.3 %Clearwater County: 34.7 %Cook County: 37.7 %Cottonwood County: 37 %Crow Wing County: 34.3 %Dakota County: 34.2 %Dodge County: 32.6 %Douglas County: 37 %Faribault County: 37 %Fillmore County: 35.8 %Freeborn County: 35.5 %Goodhue County: 34.7 %Grant County: 37.1 %Hennepin County: 32.4 %Houston County: 35.7 %Hubbard County: 36.1 %Isanti County: 34.4 %Itasca County: 35.5 %Jackson County: 36.3 %Kanabec County: 35.1 %Kandiyohi County: 34.3 %Kittson County: 37.3 %Koochiching County: 37.5 %Lac qui Parle County: 37.6 %Lake County: 37 %Lake of the Woods County: 38.5 %Le Sueur County: 33.9 %Lincoln County: 35.5 %Lyon County: 33.1 %McLeod County: 34.5 %Mahnomen County: 35.1 %Marshall County: 36.9 %Martin County: 36.6 %Meeker County: 34.7 %Mille Lacs County: 36.1 %Morrison County: 36.2 %Mower County: 33 %Murray County: 36.9 %Nicollet County: 30.9 %Nobles County: 35.3 %Norman County: 35.9 %Olmsted County: 33.7 %Otter Tail County: 38.9 %Pennington County: 34.9 %Pine County: 36.4 %Pipestone County: 36.4 %Polk County: 33 %Pope County: 36.7 %Ramsey County: 33.3 %Red Lake County: 35.9 %Redwood County: 36.2 %Renville County: 36.4 %Rice County: 31.6 %Rock County: 34.6 %Roseau County: 35 %St. Louis County: 32.1 %Scott County: 31.9 %Sherburne County: 31.3 %Sibley County: 34.2 %Stearns County: 32.7 %Steele County: 33.7 %Stevens County: 30.7 %Swift County: 37.4 %Todd County: 37.3 %Traverse County: 38 %Wabasha County: 35.6 %Wadena County: 34.6 %Waseca County: 34.5 %Washington County: 34.2 %Watonwan County: 35.2 %Wilkin County: 35.3 %Winona County: 31.1 %Wright County: 33.1 %Yellow Medicine County: 35.2 %
  • Under 33
  • 33 to 34
  • 34 to 35
  • 35 to 36
  • 36 to 37
  • 37 and over
%, 2023. 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, 2023

Aitkin County: 39.7 %Aitkin County39.7Otter Tail County: 38.9 %Otter Tail County38.9Lake of the Woods County: 38.5 %Lake of the Woods County38.5Cass County: 38.4 %Cass County38.4Traverse County: 38 %Traverse County38Big Stone County: 37.9 %Big Stone County37.9Cook County: 37.7 %Cook County37.7Lac qui Parle County: 37.6 %Lac qui Parle County37.6Koochiching County: 37.5 %Koochiching County37.5Swift County: 37.4 %Swift County37.4Kittson County: 37.3 %Kittson County37.3Todd County: 37.3 %Todd County37.3Grant County: 37.1 %Grant County37.1Cottonwood County: 37 %Cottonwood County37Douglas County: 37 %Douglas County37Faribault County: 37 %Faribault County37Lake County: 37 %Lake County37Marshall County: 36.9 %Marshall County36.9Murray County: 36.9 %Murray County36.9Pope County: 36.7 %Pope County36.7Martin County: 36.6 %Martin County36.6Pine County: 36.4 %Pine County36.4Pipestone County: 36.4 %Pipestone County36.4Renville County: 36.4 %Renville County36.4Jackson County: 36.3 %Jackson County36.3Morrison County: 36.2 %Morrison County36.2Redwood County: 36.2 %Redwood County36.2Hubbard County: 36.1 %Hubbard County36.1Mille Lacs County: 36.1 %Mille Lacs County36.1Norman County: 35.9 %Norman County35.9Red Lake County: 35.9 %Red Lake County35.9Fillmore County: 35.8 %Fillmore County35.8Houston County: 35.7 %Houston County35.7Wabasha County: 35.6 %Wabasha County35.6Chippewa County: 35.5 %Chippewa County35.5Freeborn County: 35.5 %Freeborn County35.5Itasca County: 35.5 %Itasca County35.5Lincoln County: 35.5 %Lincoln County35.5Becker County: 35.4 %Becker County35.4Nobles County: 35.3 %Nobles County35.3Aitkin County: 39.7 %Aitkin County39.7Otter Tail County: 38.9 %Otter Tail County38.9Lake of the Woods County: 38.5 %Lake of the Woods County38.5Cass County: 38.4 %Cass County38.4Traverse County: 38 %Traverse County38Big Stone County: 37.9 %Big Stone County37.9Cook County: 37.7 %Cook County37.7Lac qui Parle County: 37.6 %Lac qui Parle County37.6Koochiching County: 37.5 %Koochiching County37.5Swift County: 37.4 %Swift County37.4Kittson County: 37.3 %Kittson County37.3Todd County: 37.3 %Todd County37.3Grant County: 37.1 %Grant County37.1Cottonwood County: 37 %Cottonwood County37Douglas County: 37 %Douglas County37Faribault County: 37 %Faribault County37Lake County: 37 %Lake County37Marshall County: 36.9 %Marshall County36.9Murray County: 36.9 %Murray County36.9Pope County: 36.7 %Pope County36.7Martin County: 36.6 %Martin County36.6Pine County: 36.4 %Pine County36.4Pipestone County: 36.4 %Pipestone County36.4Renville County: 36.4 %Renville County36.4Jackson County: 36.3 %Jackson County36.3Morrison County: 36.2 %Morrison County36.2Redwood County: 36.2 %Redwood County36.2Hubbard County: 36.1 %Hubbard County36.1Mille Lacs County: 36.1 %Mille Lacs County36.1Norman County: 35.9 %Norman County35.9Red Lake County: 35.9 %Red Lake County35.9Fillmore County: 35.8 %Fillmore County35.8Houston County: 35.7 %Houston County35.7Wabasha County: 35.6 %Wabasha County35.6Chippewa County: 35.5 %Chippewa County35.5Freeborn County: 35.5 %Freeborn County35.5Itasca County: 35.5 %Itasca County35.5Lincoln County: 35.5 %Lincoln County35.5Becker County: 35.4 %Becker County35.4Nobles County: 35.3 %Nobles County35.3
%. 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

RankCounties2023 (%)
1Aitkin County39.7
2Otter Tail County38.9
3Lake of the Woods County38.5
4Cass County38.4
5Traverse County38
6Big Stone County37.9
7Cook County37.7
8Lac qui Parle County37.6
9Koochiching County37.5
10Swift County37.4
11Kittson County37.3
11Todd County37.3
13Grant County37.1
14Cottonwood County37
14Douglas County37
14Faribault County37
14Lake County37
18Marshall County36.9
18Murray County36.9
20Pope County36.7
21Martin County36.6
22Pine County36.4
22Pipestone County36.4
22Renville County36.4
25Jackson County36.3
26Morrison County36.2
26Redwood County36.2
28Hubbard County36.1
28Mille Lacs County36.1
30Norman County35.9
30Red Lake County35.9
32Fillmore County35.8
33Houston County35.7
34Wabasha County35.6
35Chippewa County35.5
35Freeborn County35.5
35Itasca County35.5
35Lincoln County35.5
39Becker County35.4
40Nobles County35.3
40Wilkin County35.3
42Watonwan County35.2
42Yellow Medicine County35.2
44Chisago County35.1
44Kanabec County35.1
44Mahnomen County35.1
47Roseau County35
48Pennington County34.9
49Clearwater County34.7
49Goodhue County34.7
49Meeker County34.7
52Rock County34.6
52Wadena County34.6
54McLeod County34.5
54Waseca County34.5
56Isanti County34.4
57Brown County34.3
57Crow Wing County34.3
57Kandiyohi County34.3
60Dakota County34.2
60Sibley County34.2
60Washington County34.2
63Le Sueur County33.9
64Carlton County33.8
65Olmsted County33.7
65Steele County33.7
67Ramsey County33.3
68Lyon County33.1
68Wright County33.1
70Mower County33
70Polk County33
72Beltrami County32.7
72Benton County32.7
72Stearns County32.7
75Dodge County32.6
76Hennepin County32.4
77Anoka County32.3
77Clay County32.3
79St. Louis County32.1
80Scott County31.9
81Rice County31.6
82Sherburne County31.3
83Winona County31.1
84Nicollet County30.9
85Stevens County30.7
86Carver County30.3
87Blue Earth County29.8

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, 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 and later releases), high cholesterol in screened adults, crude prevalence, Counties in Minnesota by high cholesterol in screened adults, local model estimate, 2023. 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. 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, 2023. 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.

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, 2023 [Dataset]. Available at: https://www.cdc.gov/places/, via Invokely: https://invokely.ai/rankings/adult-high-cholesterol-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 and later releases), high cholesterol in screened adults, crude prevalence: Counties in Minnesota by high cholesterol in screened adults, 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-high-cholesterol-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 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, 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-high-cholesterol-rate-county-estimate/minnesota-counties
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/adult-high-cholesterol-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 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 39.7% in 2023, 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 29.8% 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 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