ZIP code
53811
in Hazel Green, WisconsinPopulation 3,093
52.61/ 100
Ranked #12,619 of 32,066 US ZIPs (top 39%)
Ranked #445 of 763 Wisconsin ZIPs (bottom 42%)
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.
Radon
3.2 pCi/L
in the top 7.9% nationally
Lower is healthier
ST97thUS92ndDefinition & source ›
The modeled typical indoor radon level for this area, in picocuries per liter — the EPA recommends fixing a home at 4 pCi/L or above.
Modeled from indoor-radon measurements. In Alaska and Hawaii, where those measurements are not published, a US Geological Survey geologic radon-potential category stands in — a coarser input, disclosed rather than hidden.
Full methodology ›Distance to a Superfund site
0.8 mi
in the bottom 6.6% nationally
Higher is healthier
ST7thUS7thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Superfund site — an abandoned or uncontrolled hazardous-waste site the EPA has listed for cleanup.
Full methodology ›Housing-cost burden
14.6%
in the bottom 17% nationally
Lower is healthier
ST9thUS17thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Dry extreme heat
9.4 days/year
in the top 37% nationally
Lower is healthier
ST99thUS63rdDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›The read
On the composite measure, Hazel Green, Wisconsin (ZIP 53811) stands in the top 39% healthiest ZIPs nationally (12,619th) and the bottom 42% of Wisconsin (445th).
The strongest marks in the data are worth naming first: modeled utility shutoff settles in the bottom 13.5% nationally. Distance to a nursing home rests at the national minimum, shared with about 27% of ZIPs. Modeled mammography lands in the top 11.1% nationally, loneliness settles in the bottom 14.9% nationally, and tooth loss rests in the bottom 12.5% nationally. Housing-cost burden lands in the bottom 17% nationally, and modeled short sleep settles in the bottom 21% nationally. On the other side, modeled radon rests in the top 7.9% nationally, and distance to a Superfund site lands in the bottom 6.6% nationally. Physicians settles at the national minimum, shared with about 38% of ZIPs.
For clarity, radon is a radioactive soil gas the EPA identifies as the top cause of lung cancer in nonsmokers. Distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. ZIP 52001, just across the boundary, ranks better overall among the ZIPs nearby.
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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Social Need / SDOH
healthier than 60%
16%
Preventive Care
healthier than 82%
13%
Mental Health
healthier than 64%
8%
Climate / Disaster Risk
healthier than 61%
5%
Healthcare Access
healthier than 75%
5%
About typical
Chronic Disease Burden
healthier than 47%
21%
Risk Behavior
healthier than 42%
11%
Disability
healthier than 51%
7%
Holding it back
Environmental Hazard
healthier than 17%
14%
Lifting this score
Preventive Care
healthier than 66%
13%
Mental Health
healthier than 61%
8%
Healthcare Access
healthier than 86%
5%
About typical
Social Need / SDOH
healthier than 45%
16%
Risk Behavior
healthier than 54%
11%
Holding it back
Chronic Disease Burden
healthier than 36%
21%
Environmental Hazard
healthier than 14%
14%
Disability
healthier than 34%
7%
Climate / Disaster Risk
healthier than 29%
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
52001
Iowashares a border
Score 53.03
Closest healthier
53807
Wisconsinshares a border
Score 54.26
Similar health profile
16423
Pennsylvania99% similar profile
Score 52.57
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 | 30.6% | 27.5–33.9 |
| High blood pressure among adults | 35.6% | 31.9–39.4 |
| Cancer (non-skin) or melanoma among adults | 10.6% | 9.7–11.7 |
| Current asthma among adults | 10.8% | 9.6–12.1 |
| Coronary heart disease among adults | 8.0% | 7.0–9.0 |
| Chronic obstructive pulmonary disease among adults | 7.8% | 6.7–9.1 |
| Depression among adults | 23.0% | 19.8–26.3 |
| Diagnosed diabetes among adults | 12.6% | 11.0–14.5 |
| High cholesterol among adults who have ever been screened | 36.9% | 33.1–40.8 |
| Obesity among adults | 40.9% | 34.3–47.6 |
| Stroke among adults | 4.0% | 3.6–4.6 |
| All teeth lost among adults aged >=65 years | 7.9% | 6.4–9.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.5% | 6.1–9.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.0% | 78.3–83.3 |
| Visits to doctor for routine checkup within the past year among adults | 79.1% | 75.8–82.0 |
| Cholesterol screening among adults | 87.3% | 85.5–88.8 |
| Colorectal cancer screening among adults aged 45–75 years | 68.0% | 63.6–72.2 |
| Visited dentist or dental clinic in the past year among adults | 69.2% | 65.9–72.2 |
| Mammography use among women aged 50-74 years | 80.0% | 73.7–85.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.8% | 14.9–20.8 |
| Current cigarette smoking among adults | 14.5% | 12.2–17.1 |
| No leisure-time physical activity among adults | 31.8% | 27.2–36.8 |
| Short sleep duration among adults | 32.0% | 26.7–37.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 18.6% | 16.0–21.6 |
| Frequent mental distress among adults | 15.3% | 13.5–17.2 |
| Frequent physical distress among adults | 14.4% | 12.6–16.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.9% | 11.3–14.8 |
| Any disability among adults | 32.3% | 28.3–36.6 |
| Hearing disability among adults | 8.6% | 7.6–9.7 |
| Independent living disability among adults | 8.8% | 7.6–10.1 |
| Mobility disability among adults | 16.1% | 13.8–18.6 |
| Self-care disability among adults | 3.9% | 3.4–4.5 |
| Vision disability among adults | 4.8% | 4.2–5.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.1% | 16.2–22.3 |
| Food insecurity in the past 12 months among adults | 10.9% | 8.8–13.1 |
| Received food stamps in the past 12 months among adults | 11.9% | 9.6–14.3 |
| Housing insecurity in the past 12 months among adults | 8.3% | 6.9–9.7 |
| Lack of reliable transportation in the past 12 months among adults | 6.1% | 5.2–7.0 |
| Loneliness among adults | 29.1% | 24.7–33.5 |
| Utility services shut-off threat in the past 12 months among adults | 5.0% | 4.2–5.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 11.6% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 3.3% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 5.5% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 29.4% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 1.3% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 2.9% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 92.2% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 14.6% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 69.3% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 0.3% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 0.3% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 53.4% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 23.2% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 42.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $82,769 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $224,700 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $930 | $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 | 80.5 yr ± 1.48 | 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 1.48 years of 80.5, 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