ZIP code
54428
in Elcho, WisconsinPopulation 975
50.78/ 100
Ranked #15,173 of 32,066 US ZIPs (top 47%)
Ranked #535 of 763 Wisconsin ZIPs (bottom 30%)
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
0.98 per 1,000 residents
in the top 4.3% nationally
Higher is healthier
ST98thUS96thDefinition & 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 ›Coronary heart disease
10.6%
in the top 6.0% nationally
Lower is healthier
ST97thUS94thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Dental provider access
0.98 per 1,000 residents
in the top 7.0% nationally
Higher is healthier
ST97thUS93rdDefinition & 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 ›Humid extreme heat
10.4 days/year
in the bottom 7.5% nationally
Lower is healthier
ST7thUS7thDefinition & 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 ›Loneliness
28.2%
in the bottom 8.4% nationally
Lower is healthier
ST17thUS8thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Colon-cancer screening
73.6%
in the top 5.7% nationally
Higher is healthier
ST90thUS94thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Utility shut-off threat
4.6%
in the bottom 8.6% nationally
Lower is healthier
ST29thUS9thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Distance to a nursing home
11.4 mi
in the top 8.7% nationally
Lower is healthier
ST96thUS91stDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Fine-particle (PM2.5) exceedance
1.1%
in the top 9.1% nationally
Lower is healthier
ST94thUS91stDefinition & source ›
The share of days in the year when modeled fine-particle (PM2.5) pollution was above the EPA’s daily limit of 35 micrograms per cubic meter.
Full methodology ›Distance to an emergency room
15.6 mi
in the top 10.2% nationally
Lower is healthier
ST95thUS90thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
Full methodology ›The read
Elcho, Wisconsin (ZIP 54428), overall, ranks in the top 47% healthiest ZIPs nationally (15,173rd) and the bottom 30% of Wisconsin (535th).
This area's strengths are easy to pick out across the measures: civic lands in the top 4.3% nationally, dental providers lies in the top 7.0% nationally, and modeled humid heat stands in the bottom 7.5% nationally. Modeled loneliness rests in the bottom 8.4% nationally, colon screening registers in the top 5.7% nationally, and utility shutoff resides in the bottom 8.6% nationally. Working the other way, modeled coronary heart disease settles in the top 6.0% nationally, and distance to a nursing home is in the top 8.7% nationally. Modeled fine-particle sits in the top 9.1% nationally. Fiber broadband lands at the national minimum, shared with about 19% of ZIPs.
Defined simply, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. ZIP 54424, just across the boundary, comes out 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 64%
14%
Preventive Care
healthier than 93%
13%
Mental Health
healthier than 86%
8%
Climate / Disaster Risk
healthier than 76%
5%
About typical
Social Need / SDOH
healthier than 43%
16%
Risk Behavior
healthier than 54%
11%
Holding it back
Chronic Disease Burden
healthier than 14%
21%
Disability
healthier than 32%
7%
Healthcare Access
healthier than 15%
5%
Lifting this score
Environmental Hazard
healthier than 65%
14%
Preventive Care
healthier than 89%
13%
Risk Behavior
healthier than 73%
11%
Mental Health
healthier than 94%
8%
About typical
Climate / Disaster Risk
healthier than 55%
5%
Holding it back
Chronic Disease Burden
healthier than 3%
21%
Social Need / SDOH
healthier than 26%
16%
Disability
healthier than 11%
7%
Healthcare Access
healthier than 12%
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
54424
Wisconsinshares a border
Score 52.41
Closest healthier
54435
Wisconsinshares a border
Score 54.41
Similar health profile
61471
Illinois98% similar profile
Score 51.60
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 | 37.6% | 34.0–41.5 |
| High blood pressure among adults | 43.6% | 39.5–48.0 |
| Cancer (non-skin) or melanoma among adults | 12.7% | 11.6–13.9 |
| Current asthma among adults | 10.8% | 9.6–12.1 |
| Coronary heart disease among adults | 10.6% | 9.5–11.8 |
| Chronic obstructive pulmonary disease among adults | 9.9% | 8.6–11.2 |
| Depression among adults | 20.3% | 17.4–23.5 |
| Diagnosed diabetes among adults | 15.7% | 13.7–17.8 |
| High cholesterol among adults who have ever been screened | 43.5% | 39.2–48.0 |
| Obesity among adults | 36.2% | 30.0–43.0 |
| Stroke among adults | 5.1% | 4.6–5.6 |
| All teeth lost among adults aged >=65 years | 12.6% | 10.2–15.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.9% | 5.7–8.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 84.5% | 81.9–86.8 |
| Visits to doctor for routine checkup within the past year among adults | 81.9% | 79.1–84.6 |
| Cholesterol screening among adults | 89.9% | 88.6–91.1 |
| Colorectal cancer screening among adults aged 45–75 years | 73.6% | 69.6–77.4 |
| Visited dentist or dental clinic in the past year among adults | 65.5% | 62.3–68.7 |
| Mammography use among women aged 50-74 years | 79.0% | 72.7–84.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.1% | 12.6–17.8 |
| Current cigarette smoking among adults | 15.8% | 13.5–18.4 |
| No leisure-time physical activity among adults | 32.7% | 28.2–37.7 |
| Short sleep duration among adults | 31.4% | 26.6–36.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.5% | 18.7–24.5 |
| Frequent mental distress among adults | 13.9% | 12.4–15.7 |
| Frequent physical distress among adults | 16.2% | 14.3–18.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.6% | 11.1–14.3 |
| Any disability among adults | 35.9% | 31.7–40.3 |
| Hearing disability among adults | 10.9% | 9.7–12.1 |
| Independent living disability among adults | 9.2% | 8.2–10.5 |
| Mobility disability among adults | 19.4% | 17.0–22.0 |
| Self-care disability among adults | 4.7% | 4.2–5.3 |
| 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 | 19.3% | 16.5–22.3 |
| Food insecurity in the past 12 months among adults | 10.8% | 9.1–12.8 |
| Received food stamps in the past 12 months among adults | 12.2% | 10.3–14.3 |
| Housing insecurity in the past 12 months among adults | 7.6% | 6.5–8.8 |
| Lack of reliable transportation in the past 12 months among adults | 5.9% | 5.2–6.8 |
| Loneliness among adults | 28.2% | 24.2–32.7 |
| Utility services shut-off threat in the past 12 months among adults | 4.6% | 4.0–5.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 23.4% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 2.8% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 5.8% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 16.8% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 3.0% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 8.7% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 86.2% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 30.7% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 87.5% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 4.2% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 0.5% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 76.4% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 41.4% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 60.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $49,167 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $214,800 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $495 | $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 | 78.3 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 78.3, 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