ZIP code
54228
in Mishicot, WisconsinPopulation 2,762
56.62/ 100
Ranked #7,632 of 32,066 US ZIPs (top 24%)
Ranked #216 of 763 Wisconsin ZIPs (top 28%)
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.
Mental-health provider access
0.37 per 1,000 residents
in the top 1.5% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of mental-health clinics 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 ›Civic-institution access
1.1 per 1,000 residents
in the top 3.5% nationally
Higher is healthier
ST99thUS97thDefinition & 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 ›Binge drinking
20%
in the top 6.2% nationally
Lower is healthier
ST77thUS94thDefinition & 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 ›Utility shut-off threat
4.5%
in the bottom 7.6% nationally
Lower is healthier
ST24thUS8thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Humid extreme heat
13 days/year
in the bottom 9.8% nationally
Lower is healthier
ST12thUS10thDefinition & 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 ›Mammography
80.9%
in the top 7.1% nationally
Higher is healthier
ST78thUS93rdDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Arsenic in groundwater
14.0%
in the top 11.0% nationally
Lower is healthier
ST98thUS89thDefinition & 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 ›Outpatient-care access
0.37 per 1,000 residents
in the top 13.6% nationally
Higher is healthier
ST94thUS86thDefinition & source ›
The number of outpatient clinics 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 ›Housing-cost burden
13.9%
in the bottom 16% nationally
Lower is healthier
ST8thUS16thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Dry extreme heat
0.4 days/year
in the bottom 29% nationally
Lower is healthier
ST9thUS29thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›The read
By the composite measure, Mishicot, Wisconsin (ZIP 54228) sits in the top 24% healthiest ZIPs nationally (7,632nd) and the top 28% of Wisconsin (216th).
Where the data leans one way, another reading answers it: mental-health providers resides in the top 1.5% nationally, civic lies in the top 3.5% nationally, and modeled utility shutoff settles in the bottom 7.6% nationally. Modeled humid heat stands in the bottom 9.8% nationally, modeled mammography is in the top 7.1% nationally, and outpatient rests in the top 13.6% nationally. Modeled colon screening sits in the top 11.5% nationally, and transportation registers in the bottom 15% nationally. On the other hand, modeled binge drinking lands in the top 6.2% nationally, and arsenic resides in the top 11.0% nationally.
In plain language, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. ZIP 54208, 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
Social Need / SDOH
healthier than 72%
16%
Environmental Hazard
healthier than 77%
14%
Preventive Care
healthier than 84%
13%
Mental Health
healthier than 76%
8%
Disability
healthier than 70%
7%
Climate / Disaster Risk
healthier than 89%
5%
About typical
Chronic Disease Burden
healthier than 57%
21%
Holding it back
Risk Behavior
healthier than 29%
11%
Healthcare Access
healthier than 28%
5%
Lifting this score
Social Need / SDOH
healthier than 65%
16%
Environmental Hazard
healthier than 83%
14%
Preventive Care
healthier than 71%
13%
Mental Health
healthier than 83%
8%
Disability
healthier than 64%
7%
Climate / Disaster Risk
healthier than 87%
5%
About typical
Chronic Disease Burden
healthier than 51%
21%
Holding it back
Risk Behavior
healthier than 30%
11%
Healthcare Access
healthier than 37%
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
54208
Wisconsinshares a border
Score 57.90
Closest healthier
54216
Wisconsinshares a border
Score 57.01
Similar health profile
12042
New York99% similar profile
Score 55.87
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 | 29.4% | 26.4–32.6 |
| High blood pressure among adults | 36.1% | 32.6–39.9 |
| Cancer (non-skin) or melanoma among adults | 10.0% | 9.0–11.0 |
| Current asthma among adults | 10.7% | 9.5–12.0 |
| Coronary heart disease among adults | 7.3% | 6.5–8.2 |
| Chronic obstructive pulmonary disease among adults | 7.1% | 6.2–8.2 |
| Depression among adults | 21.8% | 18.8–25.1 |
| Diagnosed diabetes among adults | 11.4% | 9.9–13.1 |
| High cholesterol among adults who have ever been screened | 36.1% | 32.4–40.0 |
| Obesity among adults | 38.5% | 32.6–44.9 |
| Stroke among adults | 3.6% | 3.2–4.0 |
| All teeth lost among adults aged >=65 years | 9.6% | 7.7–11.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.1% | 5.8–8.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.3% | 75.3–81.0 |
| Visits to doctor for routine checkup within the past year among adults | 78.3% | 74.9–81.3 |
| Cholesterol screening among adults | 87.3% | 85.5–88.9 |
| Colorectal cancer screening among adults aged 45–75 years | 71.8% | 67.5–76.0 |
| Visited dentist or dental clinic in the past year among adults | 69.7% | 66.5–72.8 |
| Mammography use among women aged 50-74 years | 80.9% | 74.8–86.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 20.0% | 16.9–23.3 |
| Current cigarette smoking among adults | 14.4% | 12.2–16.8 |
| No leisure-time physical activity among adults | 28.1% | 24.1–32.4 |
| Short sleep duration among adults | 34.2% | 28.9–40.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.1% | 14.7–19.7 |
| Frequent mental distress among adults | 14.7% | 13.0–16.7 |
| Frequent physical distress among adults | 13.5% | 11.8–15.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.4% | 10.8–14.1 |
| Any disability among adults | 28.4% | 24.7–32.4 |
| Hearing disability among adults | 7.7% | 6.8–8.6 |
| Independent living disability among adults | 7.6% | 6.7–8.6 |
| Mobility disability among adults | 13.8% | 11.9–15.9 |
| Self-care disability among adults | 3.4% | 3.0–3.9 |
| Vision disability among adults | 4.1% | 3.6–4.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.1% | 16.4–22.2 |
| Food insecurity in the past 12 months among adults | 9.7% | 8.1–11.7 |
| Received food stamps in the past 12 months among adults | 9.9% | 8.2–11.8 |
| Housing insecurity in the past 12 months among adults | 7.9% | 6.7–9.3 |
| Lack of reliable transportation in the past 12 months among adults | 5.6% | 4.8–6.4 |
| Loneliness among adults | 29.2% | 25.3–33.7 |
| Utility services shut-off threat in the past 12 months among adults | 4.5% | 3.8–5.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 5.4% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 2.7% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 10.3% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 18.8% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 1.6% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 2.6% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 86.9% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 13.9% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 78.5% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 1.6% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 2.1% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 63.5% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 21.8% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 45.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $71,842 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $184,800 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $757 | $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 | 83.7 yr ± 1.23 | 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 1.23 years of 83.7, 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