Health by ZIP

States › Wisconsin › Dane County

County · Wisconsin

Dane County, WI

575,347 residents, 463,964 adults (Census population estimates used by PLACES). 34 ZIP Codes and 26 places with estimates.

Dane County within Wisconsin. Boundaries: US Census Bureau.
32.4%obesity, adults95% interval 28.1–36.5below · state figure 37.7% (site aggregate)
8.2%diabetes, adults95% interval 7.0–9.4below · state figure 11.4% (site aggregate)
25.6%high blood pressure, adults95% interval 22.8–28.0below · state figure 33.3% (site aggregate)
13.2%fair or poor health, adults95% interval 11.0–15.6below · state figure 17.8% (site aggregate)

CDC's PLACES project publishes model-based estimates of 40 health measures for Dane County, in Wisconsin: 575,347 residents in the Census population estimates used by PLACES, 463,964 of them adults.

In the 2025 release it estimates that 32.4% of adults have obesity (95% confidence interval 28.1–36.5%), below the Wisconsin figure of 37.7% (site aggregate), similar to the national estimate of 32.8%. Where intervals overlap the figures are described as similar, because the model cannot separate them.

Diagnosed diabetes: 8.2% of adults (95% confidence interval 7.0–9.4%) in the 2025 release, below the Wisconsin figure of 11.4% (site aggregate), lower than the national estimate of 12.0%.

Across the 40 measures with a published estimate, the county's interval lies entirely above the Wisconsin figure for 1, entirely below it for 26 and includes it for 13. State figures are population-weighted county estimates computed by this site and carry no interval.

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% intervalWI figureUS estimate

Health outcomes (12)vs WI figure: 0 above · 10 below · 2 in line
MeasureEstimate and 95% intervalValueFlagsRelease
All teeth lost among adults aged ≥65 yearsBRFSS 2022 · Adults aged 65 years and older4.5%3.6–5.64.4%3.5–5.5St. ↓US ↓St. ↓US ↓2025
Arthritis among adultsBRFSS 202319.5%17.3–21.519.3%17.1–21.3St. ↓US ↓St. ↓US ↓2025
Cancer (non-skin) or melanoma among adultsBRFSS 20237.2%6.5–7.97.0%6.3–7.7St. ↓US ≈St. ≈US ≈2025
Chronic obstructive pulmonary disease among adultsBRFSS 20234.4%3.6–5.44.3%3.5–5.2St. ↓US ↓St. ↓US ≈2025
Coronary heart disease among adultsBRFSS 20234.8%4.2–5.54.7%4.0–5.3St. ↓US ↓St. ≈US ≈2025
Current asthma among adultsBRFSS 20239.9%8.7–11.19.9%8.7–11.1St. ≈US ≈St. ≈US ≈2025
Depression among adultsBRFSS 202324.3%21.3–27.124.2%21.2–27.1St. ≈US ↑St. ≈US ↑2025
Diagnosed diabetes among adultsBRFSS 20238.2%7.0–9.48.1%6.9–9.3St. ↓US ↓St. ↓US ↓2025
High blood pressure among adultsBRFSS 202325.6%22.8–28.025.5%22.7–28.0St. ↓US ↓St. ↓US ↓2025
High cholesterol among adults who have ever been screenedBRFSS 202328.9%26.2–31.627.4%24.7–30.3St. ↓US ↓St. ≈US ↓2025
Obesity among adultsBRFSS 202332.4%28.1–36.533.4%29.0–37.6St. ↓US ≈St. ↓US ≈2025
Stroke among adultsBRFSS 20232.4%2.1–2.82.4%2.1–2.8St. ↓US ↓St. ≈US ≈2025
Prevention (7)vs WI figure: 1 above · 2 below · 4 in line
MeasureEstimate and 95% intervalValueFlagsRelease
Cholesterol screening among adultsBRFSS 202384.8%82.4–86.885.5%83.2–87.4St. ≈US ↓St. ≈US ≈2025
Colorectal cancer screening among adults aged 45–75 yearsBRFSS 2022 · Adults aged 45–75 years70.9%67.3–74.466.4%62.6–70.1St. ≈US ↑St. ≈US ↑2025
Current lack of health insurance among adults aged 18-64 yearsBRFSS 2023 · Adults aged 18–64 years6.6%5.2–8.56.7%5.2–8.4St. ≈US ↓St. ≈US ↓2025
Mammography use among women aged 50-74 yearsBRFSS 2022 · Women aged 50–74 years79.9%74.6–84.579.6%74.4–84.2St. ≈US ≈St. ≈US ≈2025
Taking medicine to control high blood pressure among adults with high blood pressureBRFSS 202374.3%71.3–77.056.9%52.9–60.8St. ↓US ≈St. ≈US ≈2025
Visited dentist or dental clinic in the past year among adultsBRFSS 202270.2%67.6–72.770.2%67.5–72.7St. ↑US ↑St. ↑US ↑2025
Visits to doctor for routine checkup within the past year among adultsBRFSS 202373.6%70.5–76.573.5%70.3–76.5St. ↓US ↓St. ≈US ≈2025
Health risk behaviors (4)vs WI figure: 0 above · 3 below · 1 in line
MeasureEstimate and 95% intervalValueFlagsRelease
Binge drinking among adultsBRFSS 202320.8%18.2–23.721.0%18.4–23.9St. ≈US ↑St. ≈US ↑2025
Current cigarette smoking among adultsBRFSS 20239.8%7.6–12.210.4%8.0–13.0St. ↓US ≈St. ↓US ≈2025
No leisure-time physical activity among adultsBRFSS 202320.5%17.0–24.020.8%17.2–24.3St. ↓US ↓St. ↓US ≈2025
Short sleep duration among adultsBRFSS 202228.6%25.4–32.129.2%25.9–32.7St. ↓US ↓St. ↓US ↓2025
Disability (7)vs WI figure: 0 above · 6 below · 1 in line
MeasureEstimate and 95% intervalValueFlagsRelease
Any disability among adultsBRFSS 202324.3%20.7–27.923.9%20.4–27.4St. ↓US ↓St. ↓US ↓2025
Cognitive disability among adultsBRFSS 202311.3%9.3–13.411.2%9.3–13.2St. ≈US ≈St. ↓US ↓2025
Hearing disability among adultsBRFSS 20235.3%4.6–6.05.2%4.5–6.0St. ↓US ↓St. ≈US ≈2025
Independent living disability among adultsBRFSS 20236.3%5.2–7.56.3%5.2–7.4St. ↓US ↓St. ↓US ≈2025
Mobility disability among adultsBRFSS 20239.4%7.8–11.19.3%7.7–11.1St. ↓US ↓St. ↓US ↓2025
Self-care disability among adultsBRFSS 20232.5%2.1–3.02.6%2.2–3.0St. ↓US ↓St. ↓US ↓2025
Vision disability among adultsBRFSS 20233.4%2.9–3.93.4%2.9–3.9St. ↓US ↓St. ↓US ↓2025
Health status (3)vs WI figure: 0 above · 2 below · 1 in line
MeasureEstimate and 95% intervalValueFlagsRelease
Fair or poor self-rated health status among adultsBRFSS 202313.2%11.0–15.613.3%11.0–15.8St. ↓US ↓St. ↓US ↓2025
Frequent mental distress among adultsBRFSS 202314.8%12.6–16.814.7%12.6–16.8St. ≈US ≈St. ≈US ≈2025
Frequent physical distress among adultsBRFSS 202310.4%8.8–12.010.5%8.9–12.1St. ↓US ↓St. ≈US ≈2025
Health-related social needs (7)vs WI figure: 0 above · 3 below · 4 in line
MeasureEstimate and 95% intervalValueFlagsRelease
Food insecurity in the past 12 months among adultsBRFSS 20239.3%7.3–11.69.5%7.5–12.0St. ↓US ↓St. ↓US ↓2025
Housing insecurity in the past 12 months among adultsBRFSS 20238.2%6.6–10.08.6%6.9–10.5St. ≈US ↓St. ↓US ↓2025
Lack of reliable transportation in the past 12 months among adultsBRFSS 20235.7%4.7–6.95.7%4.8–6.9St. ≈US ↓St. ↓US ↓2025
Lack of social and emotional support among adultsBRFSS 202318.6%15.9–21.618.7%16.1–21.7St. ≈US ↓St. ≈US ↓2025
Loneliness among adultsBRFSS 202330.9%27.2–34.830.4%26.8–34.2St. ≈US ≈St. ≈US ≈2025
Received food stamps in the past 12 months among adultsBRFSS 20238.8%6.7–11.29.2%6.9–11.9St. ↓US ≈St. ↓US ≈2025
Utility services shut-off threat in the past 12 months among adultsBRFSS 20234.5%3.7–5.44.8%3.9–5.8St. ↓US ↓St. ↓US ↓2025

Flags: St. = Wisconsin figure (site aggregate: a population-weighted county estimate computed by this site, no interval: above, below or in line), US = national estimate with CDC's interval. ↑ interval entirely above, ↓ entirely below, ≈ overlapping or containing the reference. Release column in colour: not published for this county in the 2025 release, most recent published release shown.

Compared with state and nation

Measure (crude)Dane CountyWisconsin (site aggregate)United States
Obesity32.4%
28.1–36.5
37.7%
below
32.8%
32.4–33.1 · similar
Diabetes8.2%
7.0–9.4
11.4%
below
12.0%
11.8–12.2 · lower
High Blood Pressure25.6%
22.8–28.0
33.3%
below
34.4%
34.0–34.7 · lower
Current Asthma9.9%
8.7–11.1
10.8%
in line
9.8%
9.6–10.0 · similar
COPD4.4%
3.6–5.4
6.5%
below
6.2%
6.1–6.3 · lower
Coronary Heart Disease4.8%
4.2–5.5
6.6%
below
6.4%
6.2–6.5 · lower
Depression24.3%
21.3–27.1
23.2%
in line
20.2%
19.9–20.5 · higher
Current Cigarette Smoking9.8%
7.6–12.2
13.6%
below
11.4%
11.2–11.6 · similar
Binge Drinking20.8%
18.2–23.7
19.0%
in line
15.2%
15.0–15.5 · higher
Physical Inactivity20.5%
17.0–24.0
26.6%
below
24.5%
24.2–24.8 · lower
Health Insurance6.6%
5.2–8.5
8.0%
in line
11.0%
10.7–11.3 · lower
General Health13.2%
11.0–15.6
17.8%
below
19.2%
18.9–19.5 · lower
Measure (age-adjusted)Dane CountyWisconsin (site aggregate)United States
Obesity33.4%
29.0–37.6
37.9%
below
32.9%
32.5–33.2 · similar
Diabetes8.1%
6.9–9.3
9.6%
below
10.3%
10.1–10.5 · lower
High Blood Pressure25.5%
22.7–28.0
29.4%
below
30.7%
30.4–31.0 · lower
Current Asthma9.9%
8.7–11.1
10.9%
in line
9.8%
9.6–10.0 · similar
COPD4.3%
3.5–5.2
5.5%
below
5.3%
5.2–5.4 · similar
Coronary Heart Disease4.7%
4.0–5.3
5.3%
in line
5.3%
5.2–5.4 · similar
Depression24.2%
21.2–27.1
24.1%
in line
20.7%
20.4–21.0 · higher
Current Cigarette Smoking10.4%
8.0–13.0
14.0%
below
11.6%
11.4–11.9 · similar
Binge Drinking21.0%
18.4–23.9
20.9%
in line
16.6%
16.3–16.9 · higher
Physical Inactivity20.8%
17.2–24.3
25.6%
below
23.7%
23.4–24.0 · similar
Health Insurance6.7%
5.2–8.4
8.4%
in line
11.5%
11.2–11.9 · lower
General Health13.3%
11.0–15.8
16.9%
below
18.3%
18.0–18.6 · lower

Twelve headline measures; the toggle switches crude and age-adjusted. State figures are population-weighted county estimates computed by this site and carry no interval. Age-adjusted figures let counties with different age structures be compared.

ZIP Codes in Dane County

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 compares each row's interval with Dane County by the confidence-interval rule.

ZIP CodesPopulationEstimate95% intervalvs Dane County
ZIP 535235,27738.4%34.9–42.8similar
ZIP 5371323,29137.3%33.0–41.5similar
ZIP 535085,47737.1%32.8–41.5similar
ZIP 535596,10436.8%32.7–41.2similar
ZIP 5357133636.0%31.5–40.9similar
ZIP 535314,55835.7%31.4–40.1similar
ZIP 5370447,06635.7%31.4–39.9similar
ZIP 5371416,28935.7%31.5–40.0similar
ZIP 535603,71435.4%31.2–39.8similar
ZIP 535171,89234.9%30.9–38.8similar
ZIP 535152,49634.8%30.5–39.1similar
ZIP 5357517,32034.5%30.3–38.8similar
ZIP 535984,03334.5%30.3–39.0similar
ZIP 5371619,10534.4%30.1–38.6similar
ZIP 5353215,96234.3%30.2–38.3similar
ZIP 5358919,88834.3%30.2–38.5similar
ZIP 535286,24533.7%29.4–38.1similar
ZIP 535292,26333.7%29.5–38.0similar
ZIP 5357210,54933.4%29.2–37.7similar
ZIP 5355812,66633.3%29.1–37.5similar
ZIP 537064,33733.3%28.5–37.9similar
ZIP 5352710,99433.2%29.0–37.5similar
ZIP 5359043,68433.1%29.1–37.1similar
ZIP 5359720,72932.8%28.7–37.0similar
ZIP 5371516,51732.4%28.3–36.8similar
ZIP 5370338,51232.3%28.4–36.4similar
ZIP 5371151,44832.3%28.3–36.4similar
ZIP 5371817,03431.6%27.7–35.7similar
ZIP 5356229,09231.2%27.2–35.2similar
ZIP 5371932,15131.0%27.1–34.9similar
ZIP 5359328,23230.4%26.5–34.3similar
ZIP 5370524,69530.4%26.5–34.4similar
ZIP 5371712,79829.9%26.2–33.9similar
ZIP 537265,28629.3%25.4–33.5similar

ZIP Codes are assigned to the county holding the largest share of their land area; ZIPs that straddle counties appear once.

Cities and places in Dane County

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 compares each row's interval with Dane County by the confidence-interval rule.

PlacesPopulationEstimate95% intervalvs Dane County
Marshall3,78737.2%32.8–41.6similar
Deerfield2,50736.3%31.8–40.8similar
Belleville2,49136.0%32.1–40.0similar
Mazomanie1,76835.7%31.1–40.2similar
Black Earth1,49335.2%30.6–39.8similar
Cambridge1,63835.0%30.8–39.4similar
Stoughton13,17334.6%30.4–38.8similar
Windsor8,75434.6%30.2–39.0similar
Oregon11,17934.5%30.3–38.8similar
Rockdale20734.5%30.1–38.8similar
DeForest10,81134.2%30.1–38.4similar
Blue Mounds94834.2%29.9–38.8similar
Dane1,11734.1%29.8–38.4similar
Cross Plains4,10433.9%29.6–38.5similar
McFarland8,99133.5%29.3–37.8similar
Fitchburg29,60933.4%29.2–37.5similar
Cottage Grove7,30333.2%29.0–37.6similar
Sun Prairie35,96733.1%29.1–37.0similar
Waunakee14,87933.1%28.9–37.3similar
Monona8,62433.1%28.9–37.2similar
Mount Horeb7,75433.1%28.8–37.4similar
Madison269,84032.7%28.8–36.8similar
Middleton21,82731.6%27.7–35.6similar
Verona14,03031.0%27.0–35.1similar
Maple Bluff1,36830.2%26.3–34.4similar
Shorewood Hills2,16927.8%24.2–31.7similar

Estimates by release

What each PLACES release published for Dane County (crude prevalence with 95% interval). CDC advises that the estimates cannot be used to track local change over time: each release re-models a different survey year onto a fixed population, intervals usually overlap and the interval method changed in 2023. Listed for reference only.

Measure2022 release2023 release2024 release2025 release
COPD4.3%
3.6–5.1
4.2%
3.4–5.2
4.6%
4.1–5.1
4.4%
3.6–5.4
Coronary Heart Disease4.5%
4.1–5.0
4.5%
3.8–5.2
5.2%
4.6–5.7
4.8%
4.2–5.5
Current Asthma9.5%
9.0–9.9
10.1%
8.9–11.4
10.2%
9.1–11.4
9.9%
8.7–11.1
Depression20.2%
19.1–21.3
23.0%
19.8–26.5
23.8%
21.3–26.5
24.3%
21.3–27.1
Diabetes7.4%
6.8–8.0
7.0%
5.9–8.3
8.3%
7.3–9.4
8.2%
7.0–9.4
High Blood Pressure26.2%
25.1–27.4
25.9%
23.0–29.0
25.1%
22.2–28.2
25.6%
22.8–28.0
Obesity24.0%
22.8–25.4
27.3%
23.0–31.9
30.8%
27.2–34.5
32.4%
28.1–36.5
Health Insurance8.5%
7.0–10.4
5.5%
4.2–7.3
4.8%
4.2–5.4
6.6%
5.2–8.5
Binge Drinking24.6%
23.8–25.4
23.3%
20.2–26.8
23.5%
20.8–26.4
20.8%
18.2–23.7
Current Cigarette Smoking11.8%
9.4–14.4
11.2%
8.5–14.2
11.5%
10.1–12.9
9.8%
7.6–12.2
Physical Inactivity15.3%
13.5–17.4
15.3%
12.3–18.7
17.7%
15.4–20.1
20.5%
17.0–24.0
General Health8.9%
7.6–10.4
10.2%
8.5–12.3
13.3%
11.9–14.7
13.2%
11.0–15.6

Questions and answers

What share of adults in Dane County have obesity, according to PLACES?

PLACES estimates 32.4% (95% confidence interval 28.1–36.5%) in the 2025 release, based on 2023 BRFSS responses modelled onto the area's adult population. It is a modelled estimate for the whole adult population of the area, not a count of diagnoses.

How common is diagnosed diabetes in Dane County?

PLACES estimates 8.2% of adults (95% confidence interval 7.0–9.4%) in the 2025 release. The national estimate in the same release is 12.0%.

Is Dane County different from Wisconsin on obesity?

The county's whole obesity interval lies below the Wisconsin figure (a population-weighted mean of county estimates computed by this site, which has no published interval).

Can these figures describe a person who lives in Dane County?

No. CDC states: "We do not produce estimates for individuals; only aggregated results for counties, places, census tracts, or ZCTAs." The figures describe the expected prevalence across the area's adult population given its demographic make-up and its county and state; they say nothing about any resident.

Can Dane County be ranked or tracked over time with these figures?

CDC advises that the data "should not be used for ranking the overall health of any county, place, census tract, or ZCTA" and that the modelling procedure "does not support using the estimates to track changes at the local level over time". Areas can be compared on individual measures, with their confidence intervals; this site lists estimates by release for reference only.

Where does this data come from?

CDC PLACES: Local Data for Better Health, 2025 release (data updated 4 Dec 2025), which models Behavioral Risk Factor Surveillance System responses with Census population and American Community Survey data. Earlier releases (2022, 2023, 2024) are shown for reference. Boundaries and ZIP-to-county relationships are from the US Census Bureau.

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. Dataset on data.cdc.gov. 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. Processing errors are corrected at the next daily build; see corrections. Generated 30 Sep 2026.