ZIP code
53949
in Montello, WisconsinPopulation 6,292
48.65/ 100
Ranked #18,130 of 32,066 US ZIPs (bottom 43%)
Ranked #622 of 763 Wisconsin ZIPs (bottom 18%)
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.
Elder-services access
0.16 per 1,000 residents
in the top 9.0% nationally
Higher is healthier
ST91stUS91stDefinition & source ›
The number of services for older adults and people with disabilities 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 ›Obesity
43.7%
in the top 7.0% nationally
Lower is healthier
ST93rdUS93rdDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Arsenic in groundwater
9.5%
in the top 18% nationally
Lower is healthier
ST93rdUS82ndDefinition & 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 ›Stroke
4.7%
in the top 21% nationally
Lower is healthier
ST90thUS79thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Mobility disability
18.6%
in the top 25% nationally
Lower is healthier
ST92ndUS75thDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›The read
By its overall health score, Montello, Wisconsin (ZIP 53949) lands in the bottom 43% nationally (18,130th) and the bottom 18% of Wisconsin (622nd).
Strengths and concerns sit side by side across the measures here: elder services registers in the top 9.0% nationally. Distance to a nursing home sits at the national minimum, shared with about 27% of ZIPs. Modeled mammography rests in the top 15% nationally, and humid heat is in the bottom 21% nationally. On the other hand, modeled obesity stands in the top 7.0% nationally, expected annual loss settles in the top 11.4% nationally, and arsenic lies in the top 18% nationally. Modeled coronary heart disease resides in the top 17% nationally, and distance to a community health center lands in the top 19% nationally. Childcare registers at the national minimum, shared with about 42% of ZIPs.
To translate a couple of terms, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Distance to a community health center is a federally funded (HRSA) community health center serving everyone regardless of ability to pay. Overall, the nearest healthier neighbor is ZIP 53930, 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Environmental Hazard
healthier than 84%
14%
Preventive Care
healthier than 80%
13%
About typical
Social Need / SDOH
healthier than 46%
16%
Mental Health
healthier than 58%
8%
Climate / Disaster Risk
healthier than 57%
5%
Holding it back
Chronic Disease Burden
healthier than 21%
21%
Risk Behavior
healthier than 31%
11%
Disability
healthier than 33%
7%
Healthcare Access
healthier than 26%
5%
Lifting this score
Environmental Hazard
healthier than 89%
14%
Preventive Care
healthier than 61%
13%
About typical
Mental Health
healthier than 44%
8%
Holding it back
Chronic Disease Burden
healthier than 7%
21%
Social Need / SDOH
healthier than 28%
16%
Risk Behavior
healthier than 33%
11%
Disability
healthier than 11%
7%
Climate / Disaster Risk
healthier than 23%
5%
Healthcare Access
healthier than 33%
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 ›
Findings that name this ZIP
2 of our published findings list this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.
Below its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 77.7 ± 1.6 years. The 43 nearest ZIP codes with estimates average 80.6 years — 2.9 years below them.
Ranked #2,265 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Clean environment, heavy chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 83.7; chronic-disease standing 20.6 — 63 points apart, cleaner on the environment than it is on chronic illness.
Ranked #1,516 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
53926
Wisconsinshares a border
Score 47.33
Closest healthier
53930
Wisconsinshares a border
Score 50.39
Similar health profile
54745
Wisconsin97% similar profile
Score 47.37
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 | 33.9% | 30.2–37.7 |
| High blood pressure among adults | 40.8% | 36.3–45.2 |
| Cancer (non-skin) or melanoma among adults | 10.8% | 9.7–11.9 |
| Current asthma among adults | 11.2% | 9.9–12.6 |
| Coronary heart disease among adults | 9.3% | 8.4–10.4 |
| Chronic obstructive pulmonary disease among adults | 9.7% | 8.6–11.0 |
| Depression among adults | 23.6% | 20.1–27.4 |
| Diagnosed diabetes among adults | 14.6% | 12.6–16.7 |
| High cholesterol among adults who have ever been screened | 39.9% | 35.3–44.4 |
| Obesity among adults | 43.7% | 35.6–52.1 |
| Stroke among adults | 4.7% | 4.3–5.1 |
| All teeth lost among adults aged >=65 years | 12.2% | 10.0–14.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.2% | 6.9–9.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 82.1% | 79.3–84.5 |
| Visits to doctor for routine checkup within the past year among adults | 80.0% | 76.6–83.1 |
| Cholesterol screening among adults | 87.5% | 86.0–89.1 |
| Colorectal cancer screening among adults aged 45–75 years | 69.3% | 64.7–73.7 |
| Visited dentist or dental clinic in the past year among adults | 63.2% | 59.8–66.6 |
| Mammography use among women aged 50-74 years | 79.3% | 72.8–85.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.3% | 13.4–19.5 |
| Current cigarette smoking among adults | 17.5% | 15.0–20.2 |
| No leisure-time physical activity among adults | 33.2% | 28.3–38.4 |
| Short sleep duration among adults | 33.4% | 27.6–39.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 22.3% | 19.4–25.3 |
| Frequent mental distress among adults | 15.6% | 13.8–17.6 |
| Frequent physical distress among adults | 16.3% | 14.4–18.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.0% | 12.3–15.8 |
| Any disability among adults | 36.2% | 31.8–40.8 |
| Hearing disability among adults | 9.6% | 8.6–10.7 |
| Independent living disability among adults | 9.7% | 8.6–10.9 |
| Mobility disability among adults | 18.6% | 16.3–21.0 |
| Self-care disability among adults | 4.7% | 4.3–5.3 |
| Vision disability among adults | 5.6% | 5.0–6.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.3% | 17.2–23.6 |
| Food insecurity in the past 12 months among adults | 12.9% | 10.9–15.2 |
| Received food stamps in the past 12 months among adults | 14.8% | 12.6–17.1 |
| Housing insecurity in the past 12 months among adults | 9.8% | 8.4–11.3 |
| Lack of reliable transportation in the past 12 months among adults | 6.9% | 6.1–7.9 |
| Loneliness among adults | 30.6% | 25.9–35.5 |
| Utility services shut-off threat in the past 12 months among adults | 5.8% | 4.9–6.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 10.9% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 7.0% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 8.0% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 15.2% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 2.5% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 4.4% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 89.6% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 22.0% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 82.2% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 1.9% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 0.9% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 63.9% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 29.5% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 52.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $64,611 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $206,400 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $761 | $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 | 77.7 yr ± 0.81 | 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 0.81 years of 77.7, 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