ZIP code
54550
in Montreal, WisconsinPopulation 768
51.06/ 100
Ranked #14,749 of 32,066 US ZIPs (top 46%)
Ranked #521 of 763 Wisconsin ZIPs (bottom 32%)
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 1.4% nationally
Lower is healthier
ST1stUS1stDefinition & 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 ›Transportation noise
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Distance to a hazardous-chemical facility
25 mi
in the top 3.0% nationally
Higher is healthier
ST97thUS97thDefinition & 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 ›Air-toxics cancer risk
17.1 per million
in the bottom 6.5% nationally
Lower is healthier
ST5thUS6thDefinition & source ›
The EPA’s modeled estimate of added lifetime cancer risk from breathing outdoor air toxics, in cases per million people exposed over a lifetime.
Full methodology ›Humid extreme heat
10.3 days/year
in the bottom 7.4% 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 ›Homeownership rate
95.3%
in the top 8.2% nationally
Higher is healthier
ST95thUS92ndDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Housing-cost burden
11.4%
in the bottom 11.3% nationally
Lower is healthier
ST4thUS11thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Floodplain exposure
21.8%
in the top 16% nationally
Lower is healthier
ST90thUS84thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
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 ›Households without a vehicle
0.83%
in the bottom 19% nationally
Lower is healthier
ST10thUS19thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Dry extreme heat
0 days/year
in the bottom 20% nationally
Lower is healthier
ST2ndUS20thDefinition & 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 health measure, Montreal, Wisconsin (ZIP 54550) ranks in the top 46% healthiest ZIPs nationally (14,749th) and the bottom 32% of Wisconsin (521st).
The picture here is genuinely mixed, with readings on both sides: modeled industrial-pollution burden rests in the bottom 1.4% nationally, and transportation noise stands at the national minimum. Distance to a hazardous-chemical facility lies in the top 3.0% nationally, and modeled air-toxics cancer risk lands in the bottom 6.5% nationally. Modeled humid heat sits in the bottom 7.4% nationally, and homeownership is in the top 8.2% nationally. Modeled loud transportation noise settles at the national minimum, shared with about 22% of ZIPs. Modeled short sleep resides in the bottom 11.0% nationally. On the other side, fiber broadband registers at the national minimum, shared with about 19% of ZIPs. Modeled fine-particle rests in the top 10.5% nationally.
To spell things out, 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. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Close by, ZIP 54525, 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
Environmental Hazard
healthier than 86%
14%
Preventive Care
healthier than 65%
13%
About typical
Chronic Disease Burden
healthier than 43%
21%
Mental Health
healthier than 52%
8%
Disability
healthier than 43%
7%
Climate / Disaster Risk
healthier than 49%
5%
Healthcare Access
healthier than 57%
5%
Holding it back
Social Need / SDOH
healthier than 38%
16%
Risk Behavior
healthier than 38%
11%
Lifting this score
Environmental Hazard
healthier than 91%
14%
Healthcare Access
healthier than 75%
5%
About typical
Risk Behavior
healthier than 47%
11%
Holding it back
Chronic Disease Burden
healthier than 32%
21%
Social Need / SDOH
healthier than 21%
16%
Preventive Care
healthier than 32%
13%
Mental Health
healthier than 33%
8%
Disability
healthier than 24%
7%
Climate / Disaster Risk
healthier than 16%
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
54525
Wisconsinshares a border
Score 51.87
Closest healthier
54534
Wisconsinshares a border
Score 52.88
Similar health profile
54201
Wisconsin91% similar profile
Score 52.51
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 | 31.1% | 27.6–34.7 |
| High blood pressure among adults | 35.7% | 31.5–40.1 |
| Cancer (non-skin) or melanoma among adults | 10.0% | 9.1–11.0 |
| Current asthma among adults | 11.3% | 10.0–12.7 |
| Coronary heart disease among adults | 8.4% | 7.5–9.5 |
| Chronic obstructive pulmonary disease among adults | 8.6% | 7.3–9.9 |
| Depression among adults | 23.4% | 20.0–27.1 |
| Diagnosed diabetes among adults | 13.5% | 11.6–15.6 |
| High cholesterol among adults who have ever been screened | 36.3% | 32.0–40.6 |
| Obesity among adults | 36.2% | 28.8–44.0 |
| Stroke among adults | 4.2% | 3.7–4.7 |
| All teeth lost among adults aged >=65 years | 10.8% | 8.7–13.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.3% | 5.8–9.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.5% | 77.6–83.2 |
| Visits to doctor for routine checkup within the past year among adults | 77.8% | 74.2–81.2 |
| Cholesterol screening among adults | 86.6% | 84.7–88.5 |
| Colorectal cancer screening among adults aged 45–75 years | 65.2% | 60.1–70.0 |
| Visited dentist or dental clinic in the past year among adults | 65.5% | 61.8–69.0 |
| Mammography use among women aged 50-74 years | 78.0% | 70.4–84.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.6% | 15.3–22.1 |
| Current cigarette smoking among adults | 16.8% | 13.9–19.6 |
| No leisure-time physical activity among adults | 30.4% | 25.4–35.8 |
| Short sleep duration among adults | 30.3% | 24.3–36.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.4% | 17.5–23.4 |
| Frequent mental distress among adults | 16.3% | 14.3–18.4 |
| Frequent physical distress among adults | 15.1% | 13.1–17.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.0% | 12.1–15.9 |
| Any disability among adults | 32.2% | 27.7–36.8 |
| Hearing disability among adults | 8.7% | 7.7–9.8 |
| Independent living disability among adults | 9.2% | 8.0–10.4 |
| Mobility disability among adults | 16.1% | 13.8–18.5 |
| Self-care disability among adults | 4.4% | 3.8–5.0 |
| Vision disability among adults | 5.2% | 4.5–5.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.3% | 16.2–22.7 |
| Food insecurity in the past 12 months among adults | 12.6% | 10.3–15.2 |
| Received food stamps in the past 12 months among adults | 14.4% | 11.9–17.2 |
| Housing insecurity in the past 12 months among adults | 9.8% | 8.1–11.6 |
| Lack of reliable transportation in the past 12 months among adults | 7.1% | 6.1–8.2 |
| Loneliness among adults | 30.4% | 25.7–35.7 |
| Utility services shut-off threat in the past 12 months among adults | 6.0% | 5.1–7.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 11.2% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 12.0% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 1.4% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 24.2% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 2.0% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 0.8% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 91.7% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 11.4% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 95.3% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 0.6% | 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 | 59.8% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 19.5% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 46.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $64,583 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $112,200 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $813 | $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 | 78.1 yr ± 1.22 | 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 1.22 years of 78.1, 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