ZIP code
53527
in Cottage Grove, WisconsinPopulation 11,924
66.15/ 100
Ranked #1,562 of 32,066 US ZIPs (top 4.9%)
Ranked #15 of 763 Wisconsin ZIPs (top 2.0%)
Ranked #7 of 67 Madison, WI ZIPs (top 10.5%)
Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.
What defines this ZIP
Metrics where this ZIP sits in the tails of the national distribution — the ones that most set it apart. Select any tile for its definition and methodology.
Utility shut-off threat
3.8%
in the bottom 2.8% nationally
Lower is healthier
ST7thUS3rdDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Binge drinking
20.9%
in the top 3.5% nationally
Lower is healthier
ST90thUS97thDefinition & source ›
The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.
Full methodology ›Lack of transportation
4.5%
in the bottom 3.8% nationally
Lower is healthier
ST5thUS4thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Food insecurity
7.1%
in the bottom 4.0% nationally
Lower is healthier
ST4thUS4thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Short sleep
28.3%
in the bottom 3.8% nationally
Lower is healthier
ST5thUS4thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Median household income
$133,883
in the top 6.2% nationally
Higher is healthier
ST99thUS94thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Housing insecurity
6.9%
in the bottom 6.7% nationally
Lower is healthier
ST9thUS7thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›High blood pressure
27.4%
in the bottom 5.2% nationally
Lower is healthier
ST4thUS5thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›High cholesterol
31.3%
in the bottom 5.1% nationally
Lower is healthier
ST5thUS5thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Fair or poor health
12.5%
in the bottom 4.6% nationally
Lower is healthier
ST2ndUS5thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›The read
Cottage Grove, Wisconsin (ZIP 53527), in overall standing, comes out in the top 4.9% healthiest ZIPs nationally (1,562nd) and the top 2.0% of Wisconsin (15th).
The measures that most flatter this area set the tone for the rest: modeled utility shutoff stands in the bottom 2.8% nationally, transportation resides in the bottom 3.8% nationally, and food insecurity sits in the bottom 4.0% nationally. Modeled short sleep stands in the bottom 3.8% nationally, household income resides in the top 6.2% nationally, and modeled housing insecurity sits in the bottom 6.7% nationally. Modeled high blood pressure stands in the bottom 5.2% nationally, and high cholesterol resides in the bottom 5.1% nationally. Modeled fair or poor health sits in the bottom 4.6% nationally. Against that, modeled binge drinking stands in the top 3.5% nationally.
Set within its surrounding area, park land runs far lower than the surrounding ZIPs on this measure. The closest healthier ZIP overall is ZIP 53597, about 8.0 miles away. Beyond that, the ZIP also sits on the healthier half of the national range on at least seven of the ten good-life measures tracked here, from quiet and green space to nearby care, a combination reached by about one in twenty-five US ZIP codes.
What’s driving this score
Nine domains make up the ZipVitals Score — here is how this ZIP does on each, and how much each one counts. Compare it against the US, this state and the Madison, WI metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Chronic Disease Burden
healthier than 92%
21%
Social Need / SDOH
healthier than 95%
16%
Environmental Hazard
healthier than 79%
14%
Preventive Care
healthier than 84%
13%
Risk Behavior
healthier than 79%
11%
Mental Health
healthier than 71%
8%
Disability
healthier than 94%
7%
About typical
Climate / Disaster Risk
healthier than 54%
5%
Healthcare Access
healthier than 53%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 97%
21%
Social Need / SDOH
healthier than 98%
16%
Environmental Hazard
healthier than 85%
14%
Preventive Care
healthier than 72%
13%
Risk Behavior
healthier than 94%
11%
Mental Health
healthier than 75%
8%
Disability
healthier than 98%
7%
Healthcare Access
healthier than 72%
5%
Holding it back
Climate / Disaster Risk
healthier than 20%
5%
Lifting this score
Chronic Disease Burden
healthier than 77%
21%
Social Need / SDOH
healthier than 92%
16%
Environmental Hazard
healthier than 97%
14%
Preventive Care
healthier than 82%
13%
Risk Behavior
healthier than 80%
11%
Mental Health
healthier than 80%
8%
Disability
healthier than 91%
7%
Healthcare Access
healthier than 68%
5%
Holding it back
Climate / Disaster Risk
healthier than 24%
5%
“Share” is how much of this ZIP’s score the domain accounts for. Percentages are rounded; higher is healthier in every domain. How the score works, and who it compares you with ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
53531
Wisconsinshares a border
Score 60.01
Closest healthier
53597
Wisconsinabout 8.0 mi away
Score 66.57
Similar health profile
55372
Minnesota99% similar profile
Score 66.02
How these were chosen: only ZIPs with a published Score appear — a nearby ZIP with too little data to score won’t. Nearby means closest by distance between ZIP boundaries, which can cross state lines. A similar health profile is a close match across the nine Score domains, not similar demographics. Distances are measured between ZIP boundaries — ZIPs that touch share a border. How distance is measured
Evidence
Every measure this page draws on, by source. Collapsed by default — the full data stays in the page for search engines either way.
Health OutcomesCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Arthritis among adults | 22.0% | 19.7–24.4 |
| High blood pressure among adults | 27.4% | 24.6–30.2 |
| Cancer (non-skin) or melanoma among adults | 8.5% | 7.7–9.4 |
| Current asthma among adults | 9.9% | 8.8–11.1 |
| Coronary heart disease among adults | 5.0% | 4.5–5.6 |
| Chronic obstructive pulmonary disease among adults | 4.5% | 3.9–5.2 |
| Depression among adults | 24.0% | 21.2–26.9 |
| Diagnosed diabetes among adults | 8.4% | 7.3–9.6 |
| High cholesterol among adults who have ever been screened | 31.3% | 28.4–34.3 |
| Obesity among adults | 33.2% | 29.0–37.5 |
| Stroke among adults | 2.5% | 2.3–2.8 |
| All teeth lost among adults aged >=65 years | 5.2% | 4.2–6.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.4% | 4.5–6.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.1% | 72.9–79.0 |
| Visits to doctor for routine checkup within the past year among adults | 75.4% | 72.3–78.1 |
| Cholesterol screening among adults | 88.4% | 86.9–89.8 |
| Colorectal cancer screening among adults aged 45–75 years | 72.6% | 69.1–75.8 |
| Visited dentist or dental clinic in the past year among adults | 73.9% | 71.3–76.3 |
| Mammography use among women aged 50-74 years | 80.4% | 75.2–84.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 20.9% | 18.1–23.7 |
| Current cigarette smoking among adults | 10.2% | 8.4–12.2 |
| No leisure-time physical activity among adults | 19.5% | 16.7–22.5 |
| Short sleep duration among adults | 28.3% | 24.9–31.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 12.5% | 10.7–14.3 |
| Frequent mental distress among adults | 13.8% | 12.1–15.6 |
| Frequent physical distress among adults | 10.8% | 9.4–12.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 10.2% | 8.8–11.6 |
| Any disability among adults | 23.3% | 20.4–26.2 |
| Hearing disability among adults | 5.5% | 4.9–6.2 |
| Independent living disability among adults | 5.7% | 5.0–6.5 |
| Mobility disability among adults | 9.6% | 8.2–11.0 |
| Self-care disability among adults | 2.5% | 2.2–2.8 |
| Vision disability among adults | 3.0% | 2.7–3.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 17.7% | 15.2–20.3 |
| Food insecurity in the past 12 months among adults | 7.1% | 5.9–8.5 |
| Received food stamps in the past 12 months among adults | 6.8% | 5.5–8.1 |
| Housing insecurity in the past 12 months among adults | 6.9% | 5.8–8.1 |
| Lack of reliable transportation in the past 12 months among adults | 4.5% | 3.9–5.2 |
| Loneliness among adults | 28.7% | 25.3–32.1 |
| Utility services shut-off threat in the past 12 months among adults | 3.8% | 3.2–4.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 3.4% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 2.0% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 1.5% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 52.5% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 2.1% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 3.5% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 95.7% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 26.1% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 76.4% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 1.1% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 4.8% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 53.8% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 13.9% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 39.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $133,883 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $444,700 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $1,505 | $1,021 ($677–$1,912) n=25,670 | $914 ($696–$1,261) n=706 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 79.4 yr ± 1.17 | 78.9 yr (74.7–82.8) n=31,308 | 80.4 yr (77.7–83.6) n=712 |
About the ± — it’s this estimate’s give-or-take (statisticians call it the standard error). The true life expectancy for this ZIP most likely falls within 1.17 years of 79.4, and it’s very unlikely to be off by more than twice that.
More ZIPs to explore ▾More ZIPs to explore ▴
How these lists were built: they draw only from ZIPs that have a published Score, so ZIPs with too little data to score are not listed. Distance-based lists use distance between ZIP boundaries with no state filter, so an out-of-state ZIP can appear. Statistically similar means a close match across the nine Score domains, not a demographic match: the measure is the cosine similarity between two ZIPs’ domain scores, taken over the domains both ZIPs have data for and only where that overlap covers at least six of the nine — and where no ZIP clears that minimum-overlap floor, that list is left out rather than filled with a weak match. How distance is measured