ZIP code
54515
in Catawba, WisconsinPopulation 639
44.92/ 100
Ranked #22,502 of 32,066 US ZIPs (bottom 30%)
Ranked #729 of 763 Wisconsin ZIPs (bottom 4.5%)
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.
Industrial-pollution burden
in the bottom 1.6% nationally
Lower is healthier
ST1stUS2ndDefinition & 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
6.0%
in the top 2.9% nationally
Lower is healthier
ST99thUS97thDefinition & 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 ›Distance to a hazardous-chemical facility
20.9 mi
in the top 4.4% nationally
Higher is healthier
ST95thUS96thDefinition & 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 ›Distance to an emergency room
20.4 mi
in the top 5.2% nationally
Lower is healthier
ST98thUS95thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
Full methodology ›Distance to a nursing home
14.2 mi
in the top 6.0% nationally
Lower is healthier
ST99thUS94thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Loneliness
28%
in the bottom 7.3% nationally
Lower is healthier
ST14thUS7thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Coronary heart disease
10.4%
in the top 7.1% nationally
Lower is healthier
ST96thUS93rdDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Humid extreme heat
11 days/year
in the bottom 8.1% nationally
Lower is healthier
ST9thUS8thDefinition & source ›
The average number of days per year when modeled heat stress — temperature, humidity, sun, and wind combined — reaches levels hard on the body outdoors.
Full methodology ›Walkability
2.1 intersections/sq mi
in the bottom 8.2% nationally
Higher is healthier
ST5thUS8thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Distance to a community health center
19.9 mi
in the top 8.3% nationally
Lower is healthier
ST96thUS92ndDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest federally funded community health center, which serves patients regardless of ability to pay.
Full methodology ›The read
By the composite measure, Catawba, Wisconsin (ZIP 54515) sits in the bottom 30% nationally (22,502nd) and the bottom 4.5% of Wisconsin (729th), based on limited data; treat as directional.
Where the data leans one way, another reading answers it: modeled industrial-pollution burden is in the bottom 1.6% nationally, distance to a hazardous-chemical facility rests in the top 4.4% nationally, and modeled loneliness sits in the bottom 7.3% nationally. Modeled humid heat registers in the bottom 8.1% nationally. On the other hand, modeled energy burden lands in the top 2.9% nationally, and distance to an emergency room resides in the top 5.2% nationally. Distance to a nursing home lies in the top 6.0% nationally, and modeled coronary heart disease settles in the top 7.1% nationally. Walkability stands in the bottom 8.2% nationally, and distance to a community health center is in the top 8.3% nationally.
Compared with the ZIPs that surround it, park land runs far lower than the surrounding ZIPs on this measure. In plain language, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. 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. Energy burden is the share of household income that goes to home energy bills. ZIP 54459, just across the boundary, ranks healthier overall.
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 81%
14%
Preventive Care
healthier than 77%
13%
Mental Health
healthier than 73%
8%
Climate / Disaster RiskPartial
in the top 0.2%
5%
Holding it back
Chronic Disease Burden
healthier than 12%
21%
Social Need / SDOH
healthier than 10%
16%
Risk Behavior
healthier than 17%
11%
Disability
healthier than 26%
7%
Healthcare Access
healthier than 5%
5%
Lifting this score
Environmental Hazard
healthier than 87%
14%
Mental Health
healthier than 79%
8%
Climate / Disaster RiskPartial
in the top 0.00%
5%
About typical
Preventive Care
healthier than 56%
13%
Holding it back
Chronic Disease Burden
healthier than 3%
21%
Social Need / SDOH
healthier than 3%
16%
Risk Behavior
healthier than 10%
11%
Disability
healthier than 6%
7%
Healthcare Access
in the bottom 0.4%
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
54459
Wisconsinshares a border
Score 48.86
Closest healthier
54537
Wisconsinshares a border
Score 46.94
Similar health profile
54128
Wisconsin98% similar profile
Score 46.55
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 | 36.0% | 32.4–39.7 |
| High blood pressure among adults | 42.6% | 38.4–46.8 |
| Cancer (non-skin) or melanoma among adults | 11.4% | 10.2–12.6 |
| Current asthma among adults | 10.9% | 9.7–12.3 |
| Coronary heart disease among adults | 10.4% | 9.2–11.6 |
| Chronic obstructive pulmonary disease among adults | 10.6% | 9.2–12.3 |
| Depression among adults | 21.9% | 18.9–25.2 |
| Diagnosed diabetes among adults | 16.1% | 14.0–18.4 |
| High cholesterol among adults who have ever been screened | 41.0% | 36.8–45.4 |
| Obesity among adults | 44.2% | 37.7–51.0 |
| Stroke among adults | 5.1% | 4.6–5.7 |
| All teeth lost among adults aged >=65 years | 17.1% | 14.0–20.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.0% | 6.5–9.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 83.7% | 81.0–86.2 |
| Visits to doctor for routine checkup within the past year among adults | 81.0% | 77.8–84.0 |
| Cholesterol screening among adults | 88.8% | 87.1–90.3 |
| Colorectal cancer screening among adults aged 45–75 years | 68.3% | 63.5–72.6 |
| Visited dentist or dental clinic in the past year among adults | 62.7% | 59.1–66.2 |
| Mammography use among women aged 50-74 years | 75.1% | 67.4–81.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.2% | 13.5–19.2 |
| Current cigarette smoking among adults | 19.2% | 16.3–22.2 |
| No leisure-time physical activity among adults | 33.9% | 28.9–38.9 |
| Short sleep duration among adults | 35.9% | 30.0–42.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 23.5% | 20.2–26.7 |
| Frequent mental distress among adults | 15.0% | 13.2–16.8 |
| Frequent physical distress among adults | 17.1% | 15.0–19.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.7% | 11.9–15.5 |
| Any disability among adults | 34.7% | 30.2–39.2 |
| Hearing disability among adults | 10.4% | 9.2–11.7 |
| Independent living disability among adults | 9.8% | 8.6–11.1 |
| Mobility disability among adults | 19.6% | 16.9–22.3 |
| Self-care disability among adults | 5.3% | 4.6–6.0 |
| Vision disability among adults | 6.0% | 5.3–6.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.1% | 17.0–23.4 |
| Food insecurity in the past 12 months among adults | 13.5% | 11.1–16.2 |
| Received food stamps in the past 12 months among adults | 15.5% | 12.9–18.3 |
| Housing insecurity in the past 12 months among adults | 9.4% | 7.9–11.1 |
| Lack of reliable transportation in the past 12 months among adults | 6.9% | 6.0–7.9 |
| Loneliness among adults | 28.0% | 23.7–32.2 |
| Utility services shut-off threat in the past 12 months among adults | 5.8% | 5.0–6.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 7.0% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 21.8% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 9.9% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 6.7% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 8.8% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 1.4% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 81.5% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 21.0% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 89.9% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 3.6% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 73.9% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 28.0% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 53.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $60,250 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $111,400 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $1,138 | $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 unavailable for this ZIP — fewer than 80% of the census tracts that make it up could be matched across the 2010→2020 tract-boundary revision, so no value is published rather than an unreliable one. See how coverage gaps are handled. | |||
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