Health by ZIP

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State

Minnesota

87 counties or equivalents, 854 places and 868 ZIP Codes with PLACES estimates; 5,737,915 residents.

Minnesota within the United States. Boundaries: US Census Bureau.
33.5%obesity, adults (site aggregate)counties 27.1%–43.8%above US interval 32.4–33.1
10.1%diabetes, adults (site aggregate)counties 8.1%–16.8%below US interval 11.8–12.2
31.0%high blood pressure, adults (site aggregate)counties 26.8%–41.9%below US interval 34.0–34.7
16.0%fair or poor health, adults (site aggregate)counties 12.6%–28.5%below US interval 18.9–19.5

Minnesota has 87 counties or equivalents, 854 places and 868 ZIP Code Tabulation Areas with PLACES estimates, covering 5,737,915 residents (4,436,981 adults).

PLACES does not publish state totals. The state figures here are population-weighted county estimates computed by this site, following CDC's published method for aggregating areas, and carry no interval. For the 2025 release that gives obesity at 33.5% (site aggregate) (age-adjusted 33.6%), above the national interval around 32.8%; county estimates range from 27.1% to 43.8%.

Diagnosed diabetes is 10.1% (site aggregate) by the same method (national 12.0%) and 7.5% (site aggregate) of adults aged 18–64 are estimated to lack health insurance (national 11.0%).

Report card: 40 measures by CDC category

Crude prevalence is the estimated share of all adults. Age-adjusted prevalence is standardised to the 2000 US standard population so that areas with different age structures can be compared. CDC: "Age-adjusted estimates are only available at the county and place-level."

estimate with 95% intervalUS estimate

Health outcomes (12)vs the US interval: 3 above · 8 below · 1 within
MeasureEstimate and 95% intervalValueFlagsRelease
All teeth lost among adults aged ≥65 yearsBRFSS 2022 · Adults aged 65 years and older8.9%9.1%US ↓US ↓2025
Arthritis among adultsBRFSS 202322.3%19.3%US ↓US ↓2025
Cancer (non-skin) or melanoma among adultsBRFSS 20238.5%7.1%US ↑US ↑2025
Chronic obstructive pulmonary disease among adultsBRFSS 20235.4%4.7%US ↓US ↓2025
Coronary heart disease among adultsBRFSS 20235.9%4.9%US ↓US ↓2025
Current asthma among adultsBRFSS 20239.9%9.9%US ≈US ≈2025
Depression among adultsBRFSS 202324.4%25.1%US ↑US ↑2025
Diagnosed diabetes among adultsBRFSS 202310.1%8.7%US ↓US ↓2025
High blood pressure among adultsBRFSS 202331.0%27.8%US ↓US ↓2025
Obesity among adultsBRFSS 202333.5%33.6%US ↑US ↑2025
Stroke among adultsBRFSS 20233.1%2.7%US ↓US ↓2025
Prevention (7)vs the US interval: 3 above · 4 below · 0 within
MeasureEstimate and 95% intervalValueFlagsRelease
Cholesterol screening among adultsBRFSS 202385.3%83.7%US ↓US ↓2025
Colorectal cancer screening among adults aged 45–75 yearsBRFSS 2022 · Adults aged 45–75 years68.7%63.4%US ↑US ↑2025
Current lack of health insurance among adults aged 18-64 yearsBRFSS 2023 · Adults aged 18–64 years7.5%7.8%US ↓US ↓2025
Mammography use among women aged 50-74 yearsBRFSS 2022 · Women aged 50–74 years78.5%78.1%US ↑US ↑2025
Health risk behaviors (4)vs the US interval: 2 above · 2 below · 0 within
MeasureEstimate and 95% intervalValueFlagsRelease
Binge drinking among adultsBRFSS 202317.8%19.3%US ↑US ↑2025
Current cigarette smoking among adultsBRFSS 202313.1%13.3%US ↑US ↑2025
No leisure-time physical activity among adultsBRFSS 202322.3%21.5%US ↓US ↓2025
Short sleep duration among adultsBRFSS 202229.2%30.0%US ↓US ↓2025
Disability (7)vs the US interval: 0 above · 6 below · 1 within
MeasureEstimate and 95% intervalValueFlagsRelease
Any disability among adultsBRFSS 202327.4%26.1%US ↓US ↓2025
Cognitive disability among adultsBRFSS 202312.8%13.3%US ↓US ↓2025
Hearing disability among adultsBRFSS 20236.8%5.9%US ≈US ≈2025
Independent living disability among adultsBRFSS 20237.0%6.8%US ↓US ↓2025
Mobility disability among adultsBRFSS 202311.4%9.9%US ↓US ↓2025
Self-care disability among adultsBRFSS 20233.1%2.9%US ↓US ↓2025
Vision disability among adultsBRFSS 20234.0%3.7%US ↓US ↓2025
Health status (3)vs the US interval: 0 above · 3 below · 0 within
MeasureEstimate and 95% intervalValueFlagsRelease
Fair or poor self-rated health status among adultsBRFSS 202316.0%15.3%US ↓US ↓2025
Frequent mental distress among adultsBRFSS 202315.1%15.9%US ↓US ↓2025
Frequent physical distress among adultsBRFSS 202311.3%10.7%US ↓US ↓2025
Health-related social needs (7)vs the US interval: 0 above · 7 below · 0 within
MeasureEstimate and 95% intervalValueFlagsRelease
Food insecurity in the past 12 months among adultsBRFSS 202311.4%12.0%US ↓US ↓2025
Lack of social and emotional support among adultsBRFSS 202321.5%22.1%US ↓US ↓2025
Loneliness among adultsBRFSS 202331.2%32.1%US ↓US ↓2025

State figures are population-weighted county estimates computed by this site and carry no interval, so the dot is a point and the US flag says whether the state figure falls above, below or within CDC's national 95% interval. Each measure links to its national and state tables.

Counties in Minnesota

crude prevalence, highest point estimate first

Ordered by point estimate; intervals overlap for most neighbouring rows, so the order is not a ranking. The flag says whether each row's interval lies above, below or in line with the Minnesota figure, which is a population-weighted county estimate computed by this site and carries no interval.

CountiesPopulationEstimate95% intervalvs the Minnesota figure
Mahnomen County5,28043.8%35.7–51.9above
McLeod County36,78542.0%35.1–49.1above
Benton County41,60041.5%34.5–48.7above
Kandiyohi County43,81340.6%33.7–47.7above
Fillmore County21,52240.5%33.0–48.5in line
Chippewa County12,17240.4%32.8–48.4in line
Pennington County13,71440.2%33.4–47.1in line
Grant County6,13939.7%32.0–47.7in line
Pine County30,19739.6%32.0–46.4in line
Polk County30,41239.4%32.2–46.3in line
Todd County25,66739.3%32.2–46.7in line
Cottonwood County11,31939.2%31.6–47.3in line
Waseca County18,98139.1%31.6–47.0in line
Marshall County8,81039.0%31.3–47.1in line
Sherburne County102,20639.0%33.2–45.1in line
Pope County11,40038.9%31.3–47.0in line
Carlton County36,82538.8%33.2–44.4in line
Renville County14,34838.8%31.8–46.4in line
Sibley County15,08438.8%31.1–46.8in line
Yellow Medicine County9,46738.8%30.9–47.3in line
Traverse County3,13638.7%28.6–49.3in line
Nobles County21,72738.6%31.6–45.6in line
Red Lake County3,91138.6%30.6–47.4in line
Wilkin County6,30638.6%30.5–47.4in line
Beltrami County46,71838.5%33.6–43.6above
Mille Lacs County27,42738.5%32.6–44.5in line
Pipestone County9,24538.5%30.4–46.7in line
Swift County9,71938.4%30.7–47.0in line
Wadena County14,24138.4%31.6–45.9in line
Lyon County25,42737.9%31.0–45.4in line
Mower County40,05837.9%31.8–44.4in line
Big Stone County5,10537.6%29.9–45.7in line
Faribault County13,87337.6%30.0–45.1in line
Kanabec County16,60237.6%30.4–44.9in line
Crow Wing County68,30437.5%31.8–43.5in line
Rice County67,94837.5%31.6–43.4in line
Wabasha County21,68337.5%30.1–45.1in line
Steele County37,42137.4%30.6–45.1in line
Becker County35,28337.3%31.7–43.1in line
Morrison County34,25037.2%30.2–44.5in line
Meeker County23,49037.1%30.7–43.9in line
Koochiching County11,75137.0%29.5–45.3in line
Cass County31,44636.9%31.0–42.9in line
Stevens County9,72836.8%29.4–44.6in line
Watonwan County11,07736.8%28.9–44.8in line
Lincoln County5,52136.6%28.8–44.8in line
Rock County9,55136.6%29.2–44.7in line
Chisago County58,53536.5%30.5–42.6in line
Redwood County15,28836.5%29.0–44.1in line
Olmsted County164,78436.4%31.6–41.5in line
Martin County19,65736.3%29.9–44.4in line
Murray County8,04936.3%28.7–44.2in line
Anoka County372,44136.2%32.2–40.1in line
Lake of the Woods County3,77836.2%27.7–44.6in line
Freeborn County30,51536.0%29.1–43.1in line
Goodhue County48,03536.0%30.4–42.3in line
Itasca County45,36536.0%30.0–42.2in line
Stearns County160,97736.0%31.4–40.6in line
Roseau County15,25235.9%29.0–43.7in line
Jackson County9,91935.8%28.4–43.7in line
Norman County6,32935.6%27.8–43.3in line
Brown County25,62835.5%28.8–42.6in line
Hubbard County22,13235.4%29.1–42.0in line
Lake County10,85535.4%28.0–43.4in line
Wright County151,15035.4%30.4–40.6in line
Cook County5,63935.3%27.6–43.4in line
Le Sueur County29,25535.3%28.4–42.4in line
Dodge County21,08835.2%28.1–42.5in line
Douglas County39,95335.2%28.9–41.6in line
St. Louis County200,51435.2%31.0–39.9in line
Clearwater County8,64434.5%27.8–41.9in line
Dakota County447,44034.5%30.9–38.4in line
Otter Tail County60,62634.3%28.9–39.9in line
Houston County18,58234.1%27.6–41.1in line
Kittson County4,06034.0%26.0–43.0in line
Lac qui Parle County6,63034.0%26.9–41.8in line
Blue Earth County70,00633.8%28.0–39.4in line
Winona County49,72133.8%29.0–40.6in line
Aitkin County16,10233.2%26.8–40.2in line
Nicollet County34,24233.2%26.7–40.2in line
Clay County66,25832.9%26.9–39.3in line
Isanti County43,18232.8%26.6–39.4in line
Washington County278,93632.5%28.4–36.7in line
Ramsey County536,07532.1%28.9–35.6in line
Carver County111,05732.0%26.6–37.6in line
Scott County155,81432.0%27.1–37.4in line
Hennepin County1,258,71327.1%24.6–29.8below

Largest places in Minnesota

The 25 most populous places; every county page lists all of its places and ZIP Codes.

Measures

State figures are population-weighted county estimates computed by this site and carry no interval; the word says whether each falls above, below or within CDC's national interval.

Health outcomes

  • All Teeth Lost 8.9% (site aggregate) · US 12.2% · below US interval
  • Arthritis 22.3% (site aggregate) · US 25.4% · below US interval
  • Cancer (non-skin) or Melanoma 8.5% (site aggregate) · US 7.9% · above US interval
  • COPD 5.4% (site aggregate) · US 6.2% · below US interval
  • Coronary Heart Disease 5.9% (site aggregate) · US 6.4% · below US interval
  • Current Asthma 9.9% (site aggregate) · US 9.8% · within US interval
  • Depression 24.4% (site aggregate) · US 20.2% · above US interval
  • Diabetes 10.1% (site aggregate) · US 12.0% · below US interval
  • High Blood Pressure 31.0% (site aggregate) · US 34.4% · below US interval
  • High Cholesterol 33.4% (site aggregate) · US 37.4% · below US interval
  • Obesity 33.5% (site aggregate) · US 32.8% · above US interval
  • Stroke 3.1% (site aggregate) · US 3.4% · below US interval

Prevention

Health risk behaviors

Disability

Health status

Health-related social needs

Questions and answers

How is the Minnesota figure calculated?

PLACES publishes county, place, tract and ZCTA estimates but no state row. Following CDC's guidance for aggregating areas, this site multiplies each county's estimate by its adult population, sums across the state's 87 counties and divides by the total adult population. The result has no published confidence interval, so county pages describe their position against it as above, below or in line with the state figure.

Which Minnesota counties have the highest obesity estimates?

The county table on this page can be sorted by any of the 40 measures. Estimates are listed with their 95% confidence intervals; adjacent counties often have overlapping intervals and cannot be told apart, so the order is by point estimate only and is not a ranking of health.

What is the difference between crude and age-adjusted figures?

Crude prevalence is the estimated share of all adults. Age-adjusted prevalence re-weights the estimate to the 2000 US standard population so areas with different age structures can be compared; CDC publishes age-adjusted figures for counties and places only. The toggle on this page switches between them.

Where does this data come from?

CDC PLACES: Local Data for Better Health, 2025 release, data updated 4 Dec 2025; the state figure for obesity is 33.5% (site aggregate) in the 2025 release.

Provenance

Source: Centers for Disease Control and Prevention, PLACES: Local Data for Better Health, 2025 release (data updated 4 Dec 2025), with the 2022, 2023, 2024 releases for reference; US government work, public domain. Boundaries and ZIP-to-county relationships: US Census Bureau. Percentages are shown to one decimal as CDC publishes them; state figures are population-weighted means computed by this site. The Minnesota figure for each measure is the sum over counties of estimate × adult population, divided by the state's adult population, per CDC's guidance for aggregating areas; measures defined on a subgroup (women 50–74, adults 18–64, adults 65 and over) are weighted by total adult population as an approximation. Processing errors are corrected at the next daily build; see corrections. Generated 1 Oct 2026.