ZIP code
54232
in St. Nazianz, WisconsinPopulation 907
55.20/ 100
Ranked #9,214 of 32,066 US ZIPs (top 29%)
Ranked #286 of 763 Wisconsin ZIPs (top 37%)
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.
Natural-disaster risk
in the bottom 0.3% nationally
Lower is healthier
ST2ndUS1stDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›Dental provider access
1.4 per 1,000 residents
in the top 3.0% nationally
Higher is healthier
ST98thUS97thDefinition & source ›
The number of dental offices located inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Floodplain exposure
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›Binge drinking
20.7%
in the top 3.9% nationally
Lower is healthier
ST88thUS96thDefinition & 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 ›Expected annual disaster loss
$0
in the bottom 7.2% nationally
Lower is healthier
ST4thUS7thDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›Arsenic in groundwater
12.8%
in the top 12.5% nationally
Lower is healthier
ST97thUS88thDefinition & source ›
The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms per liter.
A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.
Full methodology ›Walkability
61 intersections/sq mi
in the top 18% nationally
Higher is healthier
ST90thUS82ndDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Housing-cost burden
14.6%
in the bottom 18% nationally
Lower is healthier
ST10thUS18thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Slow internet speeds
0.58%
in the top 18% nationally
Lower is healthier
ST92ndUS82ndDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Households without a vehicle
0.73%
in the bottom 19% nationally
Lower is healthier
ST9thUS19thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›The read
St. Nazianz, Wisconsin (ZIP 54232) ranks in the top 29% healthiest ZIPs nationally (9,214th) and the top 37% of Wisconsin (286th).
Several signals sit on each side of the ledger here: modeled disaster risk rests in the bottom 0.3% nationally, and dental providers lands in the top 3.0% nationally. Floodplain exposure settles at the national minimum, and modeled expected annual loss rests in the bottom 7.2% nationally. Modeled loud transportation noise lands at the national minimum, shared with about 22% of ZIPs. Modeled colon screening settles in the top 10.2% nationally, and fiber broadband rests in the top 13.7% nationally. Crowded housing lands at the national minimum, shared with about 29% of ZIPs. Working the other way, modeled binge drinking settles in the top 3.9% nationally, and arsenic rests in the top 12.5% nationally.
For context, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. The closest ZIP that ranks healthier overall is ZIP 53063, about 2.5 miles away.
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
Chronic Disease Burden
healthier than 64%
21%
Social Need / SDOH
healthier than 70%
16%
Environmental Hazard
healthier than 65%
14%
Preventive Care
healthier than 72%
13%
Mental Health
healthier than 65%
8%
Disability
healthier than 68%
7%
Climate / Disaster Risk
healthier than 97%
5%
Holding it back
Risk Behavior
healthier than 20%
11%
Healthcare Access
healthier than 14%
5%
Lifting this score
Chronic Disease Burden
healthier than 65%
21%
Social Need / SDOH
healthier than 61%
16%
Environmental Hazard
healthier than 66%
14%
Mental Health
healthier than 62%
8%
Climate / Disaster Risk
healthier than 98%
5%
About typical
Preventive Care
healthier than 44%
13%
Disability
healthier than 60%
7%
Holding it back
Risk Behavior
healthier than 15%
11%
Healthcare Access
healthier than 11%
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
53042
Wisconsinshares a border
Score 54.34
Closest healthier
53063
Wisconsinabout 2.5 mi away
Score 57.35
Similar health profile
16228
Pennsylvania99% similar profile
Score 53.95
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 | 28.2% | 25.0–31.3 |
| High blood pressure among adults | 34.7% | 30.9–38.5 |
| Cancer (non-skin) or melanoma among adults | 9.0% | 8.0–10.0 |
| Current asthma among adults | 10.9% | 9.6–12.3 |
| Coronary heart disease among adults | 6.7% | 5.8–7.7 |
| Chronic obstructive pulmonary disease among adults | 7.0% | 5.9–8.4 |
| Depression among adults | 22.5% | 19.3–26.0 |
| Diagnosed diabetes among adults | 11.1% | 9.5–12.9 |
| High cholesterol among adults who have ever been screened | 34.6% | 30.9–38.4 |
| Obesity among adults | 39.7% | 33.5–46.0 |
| Stroke among adults | 3.4% | 3.0–3.9 |
| All teeth lost among adults aged >=65 years | 8.6% | 6.9–10.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.8% | 6.2–9.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.7% | 73.7–79.5 |
| Visits to doctor for routine checkup within the past year among adults | 77.2% | 73.7–80.3 |
| Cholesterol screening among adults | 85.8% | 83.7–87.7 |
| Colorectal cancer screening among adults aged 45–75 years | 72.1% | 67.6–76.2 |
| Visited dentist or dental clinic in the past year among adults | 69.9% | 66.6–73.0 |
| Mammography use among women aged 50-74 years | 78.7% | 71.9–84.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 20.7% | 17.4–24.1 |
| Current cigarette smoking among adults | 15.1% | 12.4–18.2 |
| No leisure-time physical activity among adults | 28.9% | 24.3–34.2 |
| Short sleep duration among adults | 34.7% | 29.2–40.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.5% | 14.8–20.8 |
| Frequent mental distress among adults | 15.6% | 13.7–17.8 |
| Frequent physical distress among adults | 13.7% | 11.8–15.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.1% | 11.2–15.3 |
| Any disability among adults | 28.5% | 24.5–33.0 |
| Hearing disability among adults | 7.1% | 6.2–8.1 |
| Independent living disability among adults | 8.0% | 6.8–9.3 |
| Mobility disability among adults | 13.7% | 11.4–16.4 |
| Self-care disability among adults | 3.6% | 3.0–4.2 |
| Vision disability among adults | 4.3% | 3.7–5.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.3% | 16.3–22.8 |
| Food insecurity in the past 12 months among adults | 11.0% | 8.7–13.6 |
| Received food stamps in the past 12 months among adults | 11.5% | 9.1–14.1 |
| Housing insecurity in the past 12 months among adults | 9.0% | 7.3–10.9 |
| Lack of reliable transportation in the past 12 months among adults | 6.3% | 5.3–7.4 |
| Loneliness among adults | 29.8% | 25.4–34.4 |
| Utility services shut-off threat in the past 12 months among adults | 5.2% | 4.3–6.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.0% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 8.7% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 2.3% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 13.5% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 1.5% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 0.7% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 94.3% | 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 | 90.3% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 3.1% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 71.6% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 28.3% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 53.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $57,895 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $139,200 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $582 | $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 | 83.3 yr ± 1.35 | 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 1.35 years of 83.3, 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