ZIP code
54563
in Tony, WisconsinPopulation 811
48.89/ 100
Ranked #17,807 of 32,066 US ZIPs (bottom 44%)
Ranked #612 of 763 Wisconsin ZIPs (bottom 20%)
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.
Civic-institution access
1.5 per 1,000 residents
in the top 2.1% nationally
Higher is healthier
ST99thUS98thDefinition & source ›
The number of civic and social organizations 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 ›Distance to a hazardous-chemical facility
29.5 mi
in the top 2.1% nationally
Higher is healthier
ST98thUS98thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest facility that handles enough hazardous chemicals to require an EPA risk-management plan for accidental releases.
Full methodology ›Industrial-pollution burden
in the bottom 4.4% nationally
Lower is healthier
ST3rdUS4thDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›Energy-cost burden
5.4%
in the top 5.8% nationally
Lower is healthier
ST98thUS94thDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›Crowded housing
7.1%
in the top 8.3% nationally
Lower is healthier
ST98thUS92ndDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Housing-cost burden
11.8%
in the bottom 12.0% nationally
Lower is healthier
ST5thUS12thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Slow internet speeds
0.76%
in the top 14.3% nationally
Lower is healthier
ST95thUS86thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Unemployment rate
8.2%
in the top 14.5% nationally
Lower is healthier
ST96thUS86thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Coronary heart disease
9.6%
in the top 13.3% nationally
Lower is healthier
ST90thUS87thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Distance to a Superfund site
42.7 mi
in the top 17% nationally
Higher is healthier
ST94thUS83rdDefinition & 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 ›The read
In its overall standing, Tony, Wisconsin (ZIP 54563) lands in the bottom 44% nationally (17,807th) and the bottom 20% of Wisconsin (612th).
Reading across the data, the real pressures come first: modeled energy burden rests in the top 5.8% nationally, crowded housing registers in the top 8.3% nationally, and modeled fine-particle resides in the top 13.8% nationally. Slow internet speeds settles in the top 14.3% nationally. More encouragingly, civic is in the top 2.1% nationally, and distance to a hazardous-chemical facility sits in the top 2.1% nationally. Modeled industrial-pollution burden lands in the bottom 4.4% nationally, and disaster risk lies in the bottom 10.8% nationally. Housing-cost burden stands in the bottom 12.0% nationally, and modeled humid heat rests in the bottom 12.9% nationally.
Put simply, distance to a hazardous-chemical facility is a plant handling large amounts of hazardous chemicals that must file an EPA risk-management plan for accidental releases. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. On the overall standing, ZIP 54526, just across the boundary, ranks healthier.
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
Environmental Hazard
healthier than 77%
14%
Preventive Care
healthier than 80%
13%
Mental Health
healthier than 66%
8%
Climate / Disaster Risk
healthier than 75%
5%
About typical
Healthcare Access
healthier than 57%
5%
Holding it back
Chronic Disease Burden
healthier than 21%
21%
Social Need / SDOH
healthier than 18%
16%
Risk Behavior
healthier than 38%
11%
Disability
healthier than 36%
7%
Lifting this score
Environmental Hazard
healthier than 82%
14%
Preventive Care
healthier than 62%
13%
Mental Health
healthier than 67%
8%
Healthcare Access
healthier than 75%
5%
About typical
Risk Behavior
healthier than 48%
11%
Climate / Disaster Risk
healthier than 52%
5%
Holding it back
Chronic Disease Burden
healthier than 8%
21%
Social Need / SDOH
healthier than 6%
16%
Disability
healthier than 14%
7%
“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
54526
Wisconsinshares a border
Score 49.37
Closest healthier
54530
Wisconsinabout 4.0 mi away
Score 49.38
Similar health profile
13830
New York97% similar profile
Score 48.86
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 | 34.8% | 31.0–38.7 |
| High blood pressure among adults | 40.6% | 36.2–45.1 |
| Cancer (non-skin) or melanoma among adults | 10.9% | 9.8–12.1 |
| Current asthma among adults | 11.1% | 9.8–12.5 |
| Coronary heart disease among adults | 9.6% | 8.5–10.7 |
| Chronic obstructive pulmonary disease among adults | 9.9% | 8.7–11.5 |
| Depression among adults | 22.5% | 19.1–26.1 |
| Diagnosed diabetes among adults | 15.2% | 13.2–17.4 |
| High cholesterol among adults who have ever been screened | 39.5% | 35.2–44.0 |
| Obesity among adults | 41.7% | 34.0–49.9 |
| Stroke among adults | 4.6% | 4.2–5.2 |
| All teeth lost among adults aged >=65 years | 12.3% | 9.9–15.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.3% | 6.7–9.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 82.5% | 79.5–85.1 |
| Visits to doctor for routine checkup within the past year among adults | 80.9% | 77.5–84.0 |
| Cholesterol screening among adults | 88.3% | 86.7–89.8 |
| Colorectal cancer screening among adults aged 45–75 years | 70.8% | 66.0–75.5 |
| Visited dentist or dental clinic in the past year among adults | 63.8% | 60.1–67.4 |
| Mammography use among women aged 50-74 years | 75.7% | 67.8–82.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.0% | 13.2–19.2 |
| Current cigarette smoking among adults | 18.1% | 15.5–21.2 |
| No leisure-time physical activity among adults | 31.1% | 26.3–36.5 |
| Short sleep duration among adults | 32.7% | 26.6–39.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 22.1% | 19.2–25.6 |
| Frequent mental distress among adults | 15.4% | 13.6–17.4 |
| Frequent physical distress among adults | 16.1% | 14.2–18.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.7% | 12.1–15.8 |
| Any disability among adults | 34.9% | 30.5–39.8 |
| Hearing disability among adults | 9.5% | 8.5–10.7 |
| Independent living disability among adults | 9.3% | 8.3–10.7 |
| Mobility disability among adults | 18.1% | 15.7–21.0 |
| Self-care disability among adults | 4.7% | 4.2–5.4 |
| Vision disability among adults | 5.5% | 4.9–6.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.2% | 16.8–23.6 |
| Food insecurity in the past 12 months among adults | 12.9% | 10.6–15.4 |
| Received food stamps in the past 12 months among adults | 15.1% | 12.5–17.8 |
| Housing insecurity in the past 12 months among adults | 9.6% | 8.0–11.3 |
| Lack of reliable transportation in the past 12 months among adults | 6.8% | 5.8–7.8 |
| Loneliness among adults | 29.6% | 24.8–34.7 |
| Utility services shut-off threat in the past 12 months among adults | 5.8% | 4.9–6.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 4.7% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 3.2% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 4.3% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 17.2% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 8.2% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 3.2% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 87.9% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 11.8% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 89.7% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 7.1% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 1.6% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 65.0% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 26.6% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 46.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $81,875 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $206,000 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $820 | $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 | 82.8 yr ± 1.33 | 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 1.33 years of 82.8, 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