States › Wisconsin
State
Wisconsin
72 counties or equivalents, 796 places and 770 ZIP Codes with PLACES estimates; 5,910,955 residents.
- Counties
- Largest places
- State figures are site aggregates: population-weighted county estimates, no interval
Wisconsin has 72 counties or equivalents, 796 places and 770 ZIP Code Tabulation Areas with PLACES estimates, covering 5,910,955 residents (4,661,826 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 37.7% (site aggregate) (age-adjusted 37.9%), above the national interval around 32.8%; county estimates range from 30.0% to 46.0%.
Diagnosed diabetes is 11.4% (site aggregate) by the same method (national 12.0%) and 8.0% (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: 7 above · 4 below · 1 within
Prevention (7)vs the US interval: 4 above · 2 below · 1 within
Health risk behaviors (4)vs the US interval: 3 above · 1 below · 0 within
Disability (7)vs the US interval: 0 above · 4 below · 3 within
Health status (3)vs the US interval: 0 above · 1 below · 2 within
Health-related social needs (7)vs the US interval: 1 above · 6 below · 0 within
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 Wisconsin
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 Wisconsin figure, which is a population-weighted county estimate computed by this site and carries no interval.
| Counties | Population | Estimate | 95% interval | vs the Wisconsin figure |
|---|---|---|---|---|
| Forest County | 9,325 | 46.0% | 42.1–52.4 | above |
| Menominee County | 4,226 | 45.4% | 36.9–53.8 | in line |
| Monroe County | 46,151 | 44.4% | 37.4–51.5 | in line |
| Taylor County | 20,058 | 44.3% | 38.1–51.4 | above |
| Fond du Lac County | 103,948 | 43.8% | 38.0–49.5 | above |
| Marquette County | 15,838 | 43.4% | 34.1–53.2 | in line |
| Dodge County | 88,231 | 42.8% | 36.1–49.4 | in line |
| Lincoln County | 28,405 | 42.8% | 36.0–49.5 | in line |
| Oconto County | 39,775 | 42.7% | 35.6–50.7 | in line |
| Price County | 14,102 | 42.5% | 35.8–49.0 | in line |
| Racine County | 196,613 | 42.3% | 37.5–47.3 | in line |
| Juneau County | 26,594 | 42.1% | 34.9–49.8 | in line |
| Lafayette County | 16,945 | 41.9% | 34.3–50.5 | in line |
| Rock County | 164,278 | 41.9% | 35.9–47.9 | in line |
| Chippewa County | 66,970 | 41.7% | 35.1–48.2 | in line |
| Kewaunee County | 20,690 | 41.3% | 33.5–49.4 | in line |
| Trempealeau County | 30,899 | 41.3% | 33.9–49.3 | in line |
| Ashland County | 16,079 | 41.2% | 34.3–47.6 | in line |
| Brown County | 271,417 | 41.1% | 36.1–46.1 | in line |
| Rusk County | 14,143 | 41.1% | 33.7–48.9 | in line |
| Douglas County | 44,264 | 41.0% | 33.7–48.4 | in line |
| Grant County | 51,409 | 40.9% | 34.0–48.3 | in line |
| Jefferson County | 85,743 | 40.7% | 34.6–47.5 | in line |
| Green Lake County | 19,344 | 40.4% | 33.0–48.7 | in line |
| Jackson County | 20,855 | 40.4% | 33.0–48.5 | in line |
| Sauk County | 65,920 | 40.4% | 33.7–47.5 | in line |
| Shawano County | 41,109 | 40.4% | 34.4–46.8 | in line |
| Adams County | 21,449 | 40.3% | 32.5–48.3 | in line |
| Green County | 36,951 | 40.3% | 33.1–47.5 | in line |
| Kenosha County | 167,488 | 40.1% | 35.1–45.3 | in line |
| Winnebago County | 171,735 | 40.0% | 34.8–45.6 | in line |
| Wood County | 73,939 | 40.0% | 34.9–45.5 | in line |
| Waushara County | 24,934 | 39.7% | 33.1–46.7 | in line |
| Buffalo County | 13,419 | 39.6% | 32.3–47.3 | in line |
| Bayfield County | 16,769 | 39.1% | 32.6–45.6 | in line |
| Manitowoc County | 81,331 | 39.1% | 33.1–45.2 | in line |
| Burnett County | 17,092 | 39.0% | 31.7–46.5 | in line |
| Dunn County | 45,794 | 38.8% | 32.0–45.7 | in line |
| Vernon County | 31,170 | 38.8% | 31.4–47.1 | in line |
| Iowa County | 23,956 | 38.7% | 31.1–46.9 | in line |
| Milwaukee County | 916,205 | 38.6% | 35.3–41.7 | in line |
| Vilas County | 23,885 | 38.4% | 32.5–45.2 | in line |
| Walworth County | 105,822 | 38.4% | 31.6–45.2 | in line |
| Barron County | 46,833 | 38.3% | 31.9–44.7 | in line |
| Waupaca County | 51,388 | 38.2% | 30.6–46.5 | in line |
| Clark County | 34,774 | 37.9% | 31.2–45.1 | in line |
| Marinette County | 42,106 | 37.8% | 31.3–44.5 | in line |
| Florence County | 4,682 | 37.5% | 30.0–45.8 | in line |
| La Crosse County | 120,486 | 37.5% | 32.0–43.3 | in line |
| Richland County | 17,197 | 37.5% | 29.8–45.4 | in line |
| Crawford County | 15,944 | 37.4% | 30.2–45.3 | in line |
| Langlade County | 19,404 | 37.1% | 30.6–44.1 | in line |
| Door County | 30,562 | 36.6% | 29.7–44.1 | in line |
| Outagamie County | 193,234 | 36.6% | 31.5–41.8 | in line |
| Pepin County | 7,441 | 36.6% | 28.3–45.4 | in line |
| Sheboygan County | 117,752 | 36.6% | 31.2–41.8 | in line |
| Washington County | 138,168 | 36.4% | 30.9–42.5 | in line |
| Marathon County | 138,612 | 36.3% | 31.7–41.1 | in line |
| St. Croix County | 96,763 | 36.3% | 30.5–42.3 | in line |
| Polk County | 45,762 | 35.6% | 29.2–42.4 | in line |
| Washburn County | 16,930 | 35.6% | 28.4–43.1 | in line |
| Oneida County | 38,226 | 35.2% | 29.7–40.8 | in line |
| Portage County | 71,024 | 35.1% | 29.8–40.7 | in line |
| Iron County | 6,228 | 34.7% | 27.5–42.6 | in line |
| Sawyer County | 18,552 | 34.3% | 28.2–40.7 | in line |
| Columbia County | 58,091 | 33.6% | 27.1–40.7 | in line |
| Waukesha County | 412,591 | 33.4% | 29.0–37.9 | in line |
| Calumet County | 53,199 | 33.3% | 26.4–40.5 | in line |
| Pierce County | 43,026 | 33.2% | 26.7–40.1 | in line |
| Dane County | 575,347 | 32.4% | 28.1–36.5 | below |
| Ozaukee County | 93,460 | 30.3% | 24.7–36.5 | below |
| Eau Claire County | 107,903 | 30.0% | 24.7–35.2 | below |
Largest places in Wisconsin
- Milwaukee 577,222
- Madison 269,840
- Green Bay 107,395
- Kenosha 99,986
- Racine 77,816
- Appleton 75,644
- Waukesha 71,158
- Eau Claire 69,421
- Oshkosh 66,816
- Janesville 65,615
- West Allis 60,325
- La Crosse 52,680
- Sheboygan 49,929
- Wauwatosa 48,387
- Fond du Lac 44,678
- Brookfield 41,464
- New Berlin 40,451
- Wausau 39,994
- Menomonee Falls 38,527
- Greenfield 37,803
- Franklin 36,816
- Beloit 36,657
- Oak Creek 36,497
- Sun Prairie 35,967
- Manitowoc 34,626
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 9.9% (site aggregate) · US 12.2% · below US interval
- Arthritis 26.6% (site aggregate) · US 25.4% · above US interval
- Cancer (non-skin) or Melanoma 8.6% (site aggregate) · US 7.9% · above US interval
- COPD 6.5% (site aggregate) · US 6.2% · above US interval
- Coronary Heart Disease 6.6% (site aggregate) · US 6.4% · above US interval
- Current Asthma 10.8% (site aggregate) · US 9.8% · above US interval
- Depression 23.2% (site aggregate) · US 20.2% · above US interval
- Diabetes 11.4% (site aggregate) · US 12.0% · below US interval
- High Blood Pressure 33.3% (site aggregate) · US 34.4% · below US interval
- High Cholesterol 34.4% (site aggregate) · US 37.4% · below US interval
- Obesity 37.7% (site aggregate) · US 32.8% · above US interval
- Stroke 3.4% (site aggregate) · US 3.4% · within US interval
Prevention
- Cholesterol Screening 85.9% (site aggregate) · US 87.5% · below US interval
- Colorectal Cancer Screening 69.4% (site aggregate) · US 66.3% · above US interval
- Health Insurance 8.0% (site aggregate) · US 11.0% · below US interval
- Mammography 80.3% (site aggregate) · US 76.5% · above US interval
- High Blood Pressure Medication 77.8% (site aggregate) · US 77.0% · above US interval
- Dental Visit 67.1% (site aggregate) · US 63.9% · above US interval
- Annual Checkup 77.6% (site aggregate) · US 77.7% · within US interval
Health risk behaviors
- Binge Drinking 19.0% (site aggregate) · US 15.2% · above US interval
- Current Cigarette Smoking 13.6% (site aggregate) · US 11.4% · above US interval
- Physical Inactivity 26.6% (site aggregate) · US 24.5% · above US interval
- Short Sleep Duration 32.6% (site aggregate) · US 36.0% · below US interval
Disability
- Any Disability 29.4% (site aggregate) · US 30.0% · below US interval
- Cognitive Disability 12.8% (site aggregate) · US 13.7% · below US interval
- Hearing Disability 6.9% (site aggregate) · US 6.7% · within US interval
- Independent Living Disability 7.9% (site aggregate) · US 7.9% · within US interval
- Mobility Disability 13.4% (site aggregate) · US 13.5% · within US interval
- Self-care Disability 3.5% (site aggregate) · US 3.8% · below US interval
- Vision Disability 4.5% (site aggregate) · US 5.5% · below US interval
Health status
- General Health 17.8% (site aggregate) · US 19.2% · below US interval
- Frequent Mental Distress 15.5% (site aggregate) · US 15.6% · within US interval
- Frequent Physical Distress 12.9% (site aggregate) · US 12.8% · within US interval
Health-related social needs
- Food Insecurity 12.1% (site aggregate) · US 14.7% · below US interval
- Housing Insecurity 9.7% (site aggregate) · US 11.7% · below US interval
- Transportation Barriers 6.7% (site aggregate) · US 7.7% · below US interval
- Lack of Social/Emotional Support 20.2% (site aggregate) · US 23.3% · below US interval
- Loneliness 30.6% (site aggregate) · US 32.0% · below US interval
- Food Stamps 12.5% (site aggregate) · US 11.2% · above US interval
- Utility Services Threat 5.5% (site aggregate) · US 7.4% · below US interval
Questions and answers
How is the Wisconsin 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 72 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 Wisconsin 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 37.7% (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 Wisconsin 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.