ZIP code
53406
in Mount Pleasant, WisconsinPopulation 25,778
55.79/ 100
Ranked #8,526 of 32,066 US ZIPs (top 27%)
Ranked #260 of 763 Wisconsin ZIPs (top 34%)
Ranked #8 of 13 Racine-Mount Pleasant, WI ZIPs (bottom 38%)
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.
Loneliness
27.3%
in the bottom 4.1% nationally
Lower is healthier
ST7thUS4thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Dental provider access
1.1 per 1,000 residents
in the top 5.4% nationally
Higher is healthier
ST98thUS95thDefinition & 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 ›Mammography
82.2%
in the top 3.6% nationally
Higher is healthier
ST89thUS96thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›PFAS in drinking water
64.9%
in the top 6.1% nationally
Lower is healthier
ST98thUS94thDefinition & source ›
The modeled probability that PFAS “forever chemicals” would be detected in untreated groundwater in this area, the source private wells draw on.
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 ›Grocery access
0.22 per 1,000 residents
in the top 6.1% nationally
Higher is healthier
ST93rdUS94thDefinition & source ›
The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Outpatient-care access
0.48 per 1,000 residents
in the top 8.5% nationally
Higher is healthier
ST97thUS92ndDefinition & 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 ›Expected annual disaster loss
$0
in the top 8.7% nationally
Lower is healthier
ST84thUS91stDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›Industrial-pollution burden
in the top 9.8% nationally
Lower is healthier
ST90thUS90thDefinition & 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 ›Mental-health provider access
0.074 per 1,000 residents
in the top 14.4% nationally
Higher is healthier
ST91stUS86thDefinition & 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 ›Outer-floodplain exposure
1.6%
in the top 18% nationally
Lower is healthier
ST92ndUS82ndDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 0.2%-annual-chance flood band — the “500-year” zone, a lower but real 1-in-500 yearly chance.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›The read
By the composite health measure, ZIP 53406, one of several in Mount Pleasant, Wisconsin ranks in the top 27% healthiest ZIPs nationally (8,526th) and the top 34% of Wisconsin (260th).
A number of measures place this area on solid footing: modeled loneliness resides in the bottom 4.1% nationally, and dental providers registers in the top 5.4% nationally. Modeled mammography rests in the top 3.6% nationally, and grocery stands in the top 6.1% nationally. Outpatient lies in the top 8.5% nationally. Distance to a nursing home lands at the national minimum, shared with about 27% of ZIPs. By contrast, modeled pfas sits in the top 6.1% nationally, expected annual loss is in the top 8.7% nationally, and industrial-pollution burden settles in the top 9.8% nationally. Modeled loud transportation noise resides in the top 13.1% nationally.
Read against the ZIPs closest to it, park land runs far lower than the surrounding ZIPs on this measure. To spell things out, pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Close by, ZIP 53126, 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. Compare it against the US, this state and the Racine-Mount Pleasant, WI metro area.
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 79%
16%
Preventive Care
healthier than 85%
13%
Mental Health
healthier than 77%
8%
Climate / Disaster Risk
healthier than 87%
5%
Healthcare Access
healthier than 84%
5%
About typical
Chronic Disease Burden
healthier than 48%
21%
Risk Behavior
healthier than 51%
11%
Disability
healthier than 59%
7%
Holding it back
Environmental Hazard
healthier than 24%
14%
Lifting this score
Social Need / SDOH
healthier than 75%
16%
Preventive Care
healthier than 75%
13%
Risk Behavior
healthier than 69%
11%
Mental Health
healthier than 85%
8%
Climate / Disaster Risk
healthier than 83%
5%
Healthcare Access
healthier than 91%
5%
About typical
Disability
healthier than 46%
7%
Holding it back
Chronic Disease Burden
healthier than 38%
21%
Environmental Hazard
healthier than 16%
14%
Lifting this score
Risk Behavior
healthier than 80%
11%
Mental Health
in the top 0.00%
8%
Climate / Disaster Risk
in the top 0.00%
5%
Healthcare Access
healthier than 80%
5%
About typical
Preventive Care
healthier than 50%
13%
Holding it back
Chronic Disease Burden
in the bottom 0.00%
21%
Social Need / SDOH
healthier than 30%
16%
Environmental Hazard
healthier than 10%
14%
Disability
healthier than 20%
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
53126
Wisconsinshares a border
Score 57.65
Closest healthier
53402
Wisconsinshares a border
Score 56.16
Similar health profile
15334
Pennsylvania99% similar profile
Score 52.16
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 | 30.7% | 28.2–33.6 |
| High blood pressure among adults | 36.7% | 33.7–40.1 |
| Cancer (non-skin) or melanoma among adults | 9.8% | 9.0–10.8 |
| Current asthma among adults | 11.4% | 10.2–12.7 |
| Coronary heart disease among adults | 7.3% | 6.6–8.1 |
| Chronic obstructive pulmonary disease among adults | 7.0% | 6.2–7.8 |
| Depression among adults | 21.8% | 19.3–24.9 |
| Diagnosed diabetes among adults | 13.2% | 11.8–14.9 |
| High cholesterol among adults who have ever been screened | 34.9% | 31.8–38.4 |
| Obesity among adults | 41.3% | 36.9–46.4 |
| Stroke among adults | 3.9% | 3.5–4.2 |
| All teeth lost among adults aged >=65 years | 9.8% | 8.0–11.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.3% | 7.2–9.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.6% | 78.3–83.0 |
| Visits to doctor for routine checkup within the past year among adults | 79.3% | 76.7–82.1 |
| Cholesterol screening among adults | 88.0% | 86.6–89.4 |
| Colorectal cancer screening among adults aged 45–75 years | 70.7% | 67.0–74.2 |
| Visited dentist or dental clinic in the past year among adults | 65.7% | 62.8–68.5 |
| Mammography use among women aged 50-74 years | 82.2% | 77.0–86.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.9% | 13.7–18.7 |
| Current cigarette smoking among adults | 13.8% | 12.2–15.7 |
| No leisure-time physical activity among adults | 30.9% | 27.7–34.6 |
| Short sleep duration among adults | 34.1% | 30.3–38.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 18.9% | 17.0–21.2 |
| Frequent mental distress among adults | 14.5% | 13.0–16.3 |
| Frequent physical distress among adults | 13.3% | 11.9–14.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.8% | 11.5–14.3 |
| Any disability among adults | 30.9% | 27.9–34.4 |
| Hearing disability among adults | 7.5% | 6.8–8.4 |
| Independent living disability among adults | 8.2% | 7.4–9.2 |
| Mobility disability among adults | 15.3% | 13.7–17.2 |
| Self-care disability among adults | 3.9% | 3.6–4.3 |
| Vision disability among adults | 5.0% | 4.5–5.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.0% | 17.4–22.6 |
| Food insecurity in the past 12 months among adults | 13.5% | 11.7–15.3 |
| Received food stamps in the past 12 months among adults | 13.4% | 11.8–15.1 |
| Housing insecurity in the past 12 months among adults | 10.1% | 8.8–11.5 |
| Lack of reliable transportation in the past 12 months among adults | 7.0% | 6.2–7.8 |
| Loneliness among adults | 27.3% | 23.8–30.7 |
| Utility services shut-off threat in the past 12 months among adults | 6.0% | 5.3–6.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 8.7% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 8.4% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 5.9% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 34.5% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 5.2% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 6.3% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 92.6% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 28.2% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 70.8% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 1.0% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 7.4% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 60.3% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 22.7% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 44.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $82,792 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $289,700 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $1,095 | $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 ± 0.74 | 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 0.74 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