ZIP code
54530
in Hawkins, WisconsinPopulation 758
49.38/ 100
Ranked #17,110 of 32,066 US ZIPs (bottom 47%)
Ranked #590 of 763 Wisconsin ZIPs (bottom 23%)
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 2.0% nationally
Lower is healthier
ST2ndUS2ndDefinition & 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 ›Distance to a hazardous-chemical facility
21.1 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 a nursing home
13.3 mi
in the top 6.6% nationally
Lower is healthier
ST98thUS93rdDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Energy-cost burden
5.3%
in the top 6.6% nationally
Lower is healthier
ST97thUS93rdDefinition & 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 ›Walkability
2.4 intersections/sq mi
in the bottom 10.4% nationally
Higher is healthier
ST7thUS10thDefinition & 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 an emergency room
14.7 mi
in the top 11.6% nationally
Lower is healthier
ST94thUS88thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
Full methodology ›Coronary heart disease
9.8%
in the top 11.4% nationally
Lower is healthier
ST92ndUS89thDefinition & 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
39.1 mi
in the top 19% nationally
Higher is healthier
ST92ndUS81stDefinition & 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 ›Hearing disability
9.9%
in the top 20% nationally
Lower is healthier
ST90thUS80thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Median household income
$54,375
in the bottom 20% nationally
Higher is healthier
ST6thUS20thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›The read
In overall standing, Hawkins, Wisconsin (ZIP 54530) comes out in the bottom 47% nationally (17,110th) and the bottom 23% of Wisconsin (590th), based on limited data; treat as directional.
The measures fall on both sides of the ledger for this area: modeled industrial-pollution burden is in the bottom 2.0% nationally, distance to a hazardous-chemical facility resides in the top 4.4% nationally, and modeled humid heat rests in the bottom 10.8% nationally. Set against that, distance to a nursing home lies in the top 6.6% nationally, and modeled energy burden sits in the top 6.6% nationally. Fiber broadband settles at the national minimum, shared with about 19% of ZIPs. Walkability registers in the bottom 10.4% nationally, and distance to an emergency room stands in the top 11.6% nationally. Modeled coronary heart disease lands in the top 11.4% nationally, and distance to a community health center is in the top 13.2% nationally.
Relative to the ZIPs around it, park land runs far lower than the surrounding ZIPs on this measure. In plain terms, 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. The nearest healthier ZIP overall is ZIP 54490, just across the boundary.
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 85%
14%
Preventive Care
healthier than 82%
13%
Mental Health
healthier than 74%
8%
Climate / Disaster RiskPartial
healthier than 99%
5%
About typical
Risk Behavior
healthier than 43%
11%
Holding it back
Chronic Disease Burden
healthier than 20%
21%
Social Need / SDOH
healthier than 18%
16%
Disability
healthier than 36%
7%
Healthcare Access
healthier than 8%
5%
Lifting this score
Environmental Hazard
healthier than 91%
14%
Preventive Care
healthier than 68%
13%
Mental Health
healthier than 79%
8%
Climate / Disaster RiskPartial
in the top 0.06%
5%
About typical
Risk Behavior
healthier than 57%
11%
Holding it back
Chronic Disease Burden
healthier than 7%
21%
Social Need / SDOH
healthier than 7%
16%
Disability
healthier than 16%
7%
Healthcare Access
healthier than 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
54490
Wisconsinshares a border
Score 50.26
Closest healthier
54555
Wisconsinshares a border
Score 51.12
Similar health profile
54119
Wisconsin99% similar profile
Score 49.60
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 | 35.0% | 31.6–38.6 |
| High blood pressure among adults | 41.2% | 37.1–45.3 |
| Cancer (non-skin) or melanoma among adults | 11.3% | 10.3–12.4 |
| Current asthma among adults | 10.9% | 9.7–12.1 |
| Coronary heart disease among adults | 9.8% | 8.8–10.9 |
| Chronic obstructive pulmonary disease among adults | 9.8% | 8.5–11.1 |
| Depression among adults | 21.9% | 18.9–25.1 |
| Diagnosed diabetes among adults | 15.2% | 13.3–17.2 |
| High cholesterol among adults who have ever been screened | 39.9% | 35.7–44.1 |
| Obesity among adults | 41.1% | 34.2–48.5 |
| Stroke among adults | 4.7% | 4.3–5.2 |
| All teeth lost among adults aged >=65 years | 12.7% | 10.3–15.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.6% | 6.2–9.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 82.9% | 80.3–85.4 |
| Visits to doctor for routine checkup within the past year among adults | 81.1% | 78.1–83.9 |
| Cholesterol screening among adults | 88.5% | 87.0–89.9 |
| Colorectal cancer screening among adults aged 45–75 years | 69.0% | 64.3–73.3 |
| Visited dentist or dental clinic in the past year among adults | 66.0% | 62.7–69.1 |
| Mammography use among women aged 50-74 years | 76.3% | 69.1–82.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.2% | 13.6–19.1 |
| Current cigarette smoking among adults | 17.4% | 15.0–20.0 |
| No leisure-time physical activity among adults | 30.8% | 26.4–35.5 |
| Short sleep duration among adults | 32.0% | 26.4–37.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.6% | 18.8–24.5 |
| Frequent mental distress among adults | 14.9% | 13.3–16.6 |
| Frequent physical distress among adults | 15.8% | 14.0–17.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.3% | 11.8–15.0 |
| Any disability among adults | 34.7% | 30.5–38.8 |
| Hearing disability among adults | 9.9% | 8.8–11.0 |
| Independent living disability among adults | 9.1% | 8.1–10.2 |
| Mobility disability among adults | 18.1% | 15.8–20.5 |
| Self-care disability among adults | 4.6% | 4.1–5.2 |
| Vision disability among adults | 5.4% | 4.8–6.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.0% | 17.2–23.3 |
| Food insecurity in the past 12 months among adults | 11.9% | 9.9–14.0 |
| Received food stamps in the past 12 months among adults | 13.7% | 11.5–16.1 |
| Housing insecurity in the past 12 months among adults | 8.7% | 7.4–10.2 |
| Lack of reliable transportation in the past 12 months among adults | 6.4% | 5.6–7.3 |
| Loneliness among adults | 29.2% | 25.0–34.0 |
| Utility services shut-off threat in the past 12 months among adults | 5.3% | 4.6–6.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 10.6% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 9.3% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 14.8% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 9.4% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 3.7% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 3.1% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 81.4% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 15.5% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 88.1% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 1.4% | 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 | 64.0% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 34.2% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 54.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $54,375 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $114,400 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $768 | $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 | 85.3 yr ± 2.16 | 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 2.16 years of 85.3, 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