ZIP code
53108
in Caledonia, WisconsinPopulation 3,060
56.28/ 100
Ranked #7,987 of 32,066 US ZIPs (top 25%)
Ranked #233 of 763 Wisconsin ZIPs (top 31%)
Ranked #6 of 13 Racine-Mount Pleasant, WI ZIPs (top 46%)
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 top 1.7% nationally
Lower is healthier
ST99thUS98thDefinition & 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 ›Loneliness
26.4%
in the bottom 1.7% nationally
Lower is healthier
ST3rdUS2ndDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Distance to a Superfund site
0.1 mi
in the bottom 4.2% nationally
Higher is healthier
ST5thUS4thDefinition & 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 ›Mammography
83%
in the top 2.4% nationally
Higher is healthier
ST93rdUS98thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Poverty rate
1.4%
in the bottom 5.8% nationally
Lower is healthier
ST2ndUS6thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Home broadband subscription
97.5%
in the top 8.7% nationally
Higher is healthier
ST98thUS91stDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Utility shut-off threat
4.7%
in the bottom 9.7% nationally
Lower is healthier
ST33rdUS10thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Fatal road crashes
32.7 per 100,000 residents per year
in the top 11.2% nationally
Lower is healthier
ST93rdUS89thDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
Full methodology ›Homeownership rate
92.5%
in the top 12.5% nationally
Higher is healthier
ST91stUS88thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Households without a vehicle
0.44%
in the bottom 17% nationally
Lower is healthier
ST7thUS17thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›The read
Judged by its overall standing, ZIP 53108, one of several in Caledonia, Wisconsin sits in the top 25% healthiest ZIPs nationally (7,987th) and the top 31% of Wisconsin (233rd).
An even profile, with readings pulling both ways: modeled loneliness settles in the bottom 1.7% nationally, modeled mammography lands in the top 2.4% nationally, and poverty rests in the bottom 5.8% nationally. Home broadband subscription settles in the top 8.7% nationally, modeled utility shutoff lands in the bottom 9.7% nationally, and homeownership rests in the top 12.5% nationally. Modeled tooth loss settles in the bottom 13.0% nationally. Against that, modeled industrial-pollution burden lands in the top 1.7% nationally, and distance to a Superfund site rests in the bottom 4.2% nationally. Fatal road crashes settles in the top 11.2% nationally.
Placed beside its immediate neighbors, industrial-pollution burden runs far higher than the surrounding ZIPs on this measure. Put plainly, 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 Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. A healthier nearby ZIP overall is ZIP 53126, 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. 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 84%
16%
Preventive Care
healthier than 86%
13%
Mental Health
healthier than 75%
8%
Disability
healthier than 68%
7%
Climate / Disaster Risk
healthier than 71%
5%
About typical
Chronic Disease Burden
healthier than 56%
21%
Risk Behavior
healthier than 50%
11%
Holding it back
Environmental Hazard
healthier than 19%
14%
Healthcare Access
healthier than 37%
5%
Lifting this score
Social Need / SDOH
healthier than 83%
16%
Preventive Care
healthier than 75%
13%
Risk Behavior
healthier than 67%
11%
Mental Health
healthier than 81%
8%
Disability
healthier than 61%
7%
About typical
Chronic Disease Burden
healthier than 49%
21%
Climate / Disaster Risk
healthier than 45%
5%
Healthcare Access
healthier than 48%
5%
Holding it back
Environmental Hazard
healthier than 15%
14%
Lifting this score
Social Need / SDOH
healthier than 70%
16%
Preventive Care
healthier than 60%
13%
Risk Behavior
healthier than 70%
11%
Mental Health
healthier than 90%
8%
Climate / Disaster Risk
healthier than 70%
5%
About typical
Disability
healthier than 40%
7%
Holding it back
Chronic Disease Burden
healthier than 10%
21%
Environmental Hazard
in the bottom 0.00%
14%
Healthcare Access
healthier than 20%
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
53126
Wisconsinshares a border
Score 57.65
Closest healthier
53132
Wisconsinshares a border
Score 62.17
Similar health profile
54407
Wisconsin98% similar profile
Score 57.50
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 | 30.4% | 27.5–33.5 |
| High blood pressure among adults | 35.3% | 32.2–39.0 |
| Cancer (non-skin) or melanoma among adults | 9.9% | 9.0–11.0 |
| Current asthma among adults | 11.1% | 9.9–12.5 |
| Coronary heart disease among adults | 7.2% | 6.3–8.1 |
| Chronic obstructive pulmonary disease among adults | 6.8% | 5.6–8.1 |
| Depression among adults | 22.4% | 19.7–25.6 |
| Diagnosed diabetes among adults | 12.2% | 10.6–14.0 |
| High cholesterol among adults who have ever been screened | 35.2% | 32.1–38.7 |
| Obesity among adults | 40.4% | 35.8–45.7 |
| Stroke among adults | 3.5% | 3.1–4.0 |
| All teeth lost among adults aged >=65 years | 8.0% | 6.5–9.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.3% | 5.9–8.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.9% | 77.2–82.6 |
| Visits to doctor for routine checkup within the past year among adults | 78.3% | 75.5–81.3 |
| Cholesterol screening among adults | 88.2% | 86.6–89.9 |
| Colorectal cancer screening among adults aged 45–75 years | 69.8% | 65.9–73.5 |
| Visited dentist or dental clinic in the past year among adults | 66.9% | 64.0–69.8 |
| Mammography use among women aged 50-74 years | 83.0% | 77.8–87.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.3% | 14.9–20.3 |
| Current cigarette smoking among adults | 14.1% | 11.6–16.9 |
| No leisure-time physical activity among adults | 29.0% | 24.8–33.5 |
| Short sleep duration among adults | 33.0% | 29.2–37.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.7% | 15.0–20.7 |
| Frequent mental distress among adults | 14.4% | 12.5–16.3 |
| Frequent physical distress among adults | 13.2% | 11.4–15.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.4% | 10.6–14.3 |
| Any disability among adults | 29.6% | 25.7–33.6 |
| Hearing disability among adults | 7.5% | 6.6–8.5 |
| Independent living disability among adults | 7.6% | 6.5–8.8 |
| Mobility disability among adults | 14.2% | 12.0–16.7 |
| Self-care disability among adults | 3.6% | 3.0–4.1 |
| Vision disability among adults | 4.3% | 3.7–4.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.1% | 16.5–22.3 |
| Food insecurity in the past 12 months among adults | 10.6% | 8.6–13.1 |
| Received food stamps in the past 12 months among adults | 10.0% | 8.0–12.2 |
| Housing insecurity in the past 12 months among adults | 8.1% | 6.8–9.8 |
| Lack of reliable transportation in the past 12 months among adults | 5.7% | 4.9–6.7 |
| Loneliness among adults | 26.4% | 23.0–30.3 |
| Utility services shut-off threat in the past 12 months among adults | 4.7% | 4.0–5.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 1.4% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 4.6% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 11.7% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 17.7% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 1.9% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 0.4% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 97.5% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 21.7% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 92.5% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 0.3% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 10.4% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 68.6% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 20.6% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 47.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $86,679 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $296,800 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $1,438 | $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 | 80.8 yr ± 1.42 | 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 1.42 years of 80.8, 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