ZIP code
53816
in Mount Hope, WisconsinPopulation 856
47.66/ 100
Ranked #19,380 of 32,066 US ZIPs (bottom 40%)
Ranked #665 of 763 Wisconsin ZIPs (bottom 12.9%)
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.
Radon
3.2 pCi/L
in the top 7.5% nationally
Lower is healthier
ST97thUS93rdDefinition & source ›
The modeled typical indoor radon level for this area, in picocuries per liter — the EPA recommends fixing a home at 4 pCi/L or above.
Modeled from indoor-radon measurements. In Alaska and Hawaii, where those measurements are not published, a US Geological Survey geologic radon-potential category stands in — a coarser input, disclosed rather than hidden.
Full methodology ›Floodplain exposure
0.08%
in the bottom 7.4% nationally
Lower is healthier
ST4thUS7thDefinition & 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 ›Obesity
44.1%
in the top 6.1% nationally
Lower is healthier
ST95thUS94thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Walkability
2.5 intersections/sq mi
in the bottom 11.3% nationally
Higher is healthier
ST8thUS11thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›PFAS in drinking water
11.0%
in the bottom 11.3% nationally
Lower is healthier
ST9thUS11thDefinition & 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 ›Transportation noise
0.27%
in the bottom 11.6% nationally
Lower is healthier
ST6thUS12thDefinition & 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 ›Home broadband subscription
77.8%
in the bottom 13.3% nationally
Higher is healthier
ST7thUS13thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Crowded housing
4.4%
in the top 16% nationally
Lower is healthier
ST94thUS84thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Slow internet speeds
0.56%
in the top 18% nationally
Lower is healthier
ST91stUS82ndDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Dry extreme heat
9.3 days/year
in the top 37% nationally
Lower is healthier
ST99thUS63rdDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›The read
In its overall standing, Mount Hope, Wisconsin (ZIP 53816) lands in the bottom 40% nationally (19,380th) and the bottom 12.9% of Wisconsin (665th).
Reading the numbers as a whole, the picture lands somewhere in between: floodplain exposure sits in the bottom 7.4% nationally, modeled pfas lands in the bottom 11.3% nationally, and modeled transportation noise lies in the bottom 11.6% nationally. On the other side, modeled radon stands in the top 7.5% nationally, and obesity rests in the top 6.1% nationally. Fiber broadband registers at the national minimum, shared with about 19% of ZIPs. Walkability resides in the bottom 11.3% nationally, and home broadband subscription settles in the bottom 13.3% nationally. Modeled binge drinking is in the top 14.1% nationally, and crowded housing sits in the top 16% nationally.
Put simply, radon is a radioactive soil gas the EPA identifies as the top cause of lung cancer in nonsmokers. 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. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". On the overall standing, ZIP 53813, just across the boundary, ranks healthier.
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 63%
14%
Climate / Disaster Risk
healthier than 86%
5%
About typical
Preventive Care
healthier than 59%
13%
Mental Health
healthier than 43%
8%
Disability
healthier than 41%
7%
Holding it back
Chronic Disease Burden
healthier than 38%
21%
Social Need / SDOH
healthier than 21%
16%
Risk Behavior
healthier than 13%
11%
Healthcare Access
healthier than 25%
5%
Lifting this score
Environmental Hazard
healthier than 63%
14%
Climate / Disaster Risk
healthier than 80%
5%
Holding it back
Chronic Disease Burden
healthier than 26%
21%
Social Need / SDOH
healthier than 8%
16%
Preventive Care
healthier than 24%
13%
Risk Behavior
healthier than 4%
11%
Mental Health
healthier than 17%
8%
Disability
healthier than 21%
7%
Healthcare Access
healthier than 29%
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
53804
Wisconsinshares a border
Score 47.54
Closest healthier
53813
Wisconsinshares a border
Score 52.93
Similar health profile
13339
New York99% 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 | 30.1% | 26.7–33.4 |
| High blood pressure among adults | 36.0% | 32.0–40.0 |
| Cancer (non-skin) or melanoma among adults | 9.3% | 8.4–10.3 |
| Current asthma among adults | 11.2% | 9.9–12.6 |
| Coronary heart disease among adults | 8.0% | 7.1–9.0 |
| Chronic obstructive pulmonary disease among adults | 8.8% | 7.5–10.1 |
| Depression among adults | 24.1% | 20.6–27.6 |
| Diagnosed diabetes among adults | 13.7% | 11.9–15.6 |
| High cholesterol among adults who have ever been screened | 36.7% | 32.7–40.9 |
| Obesity among adults | 44.1% | 37.0–51.2 |
| Stroke among adults | 4.1% | 3.7–4.6 |
| All teeth lost among adults aged >=65 years | 13.0% | 10.4–15.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.7% | 7.0–10.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.4% | 76.5–82.1 |
| Visits to doctor for routine checkup within the past year among adults | 77.6% | 74.1–80.9 |
| Cholesterol screening among adults | 85.4% | 83.4–87.3 |
| Colorectal cancer screening among adults aged 45–75 years | 67.7% | 62.7–72.3 |
| Visited dentist or dental clinic in the past year among adults | 63.9% | 60.2–67.3 |
| Mammography use among women aged 50-74 years | 77.9% | 71.1–83.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.6% | 15.6–21.9 |
| Current cigarette smoking among adults | 18.1% | 15.2–21.1 |
| No leisure-time physical activity among adults | 34.2% | 29.2–39.4 |
| Short sleep duration among adults | 34.9% | 29.1–41.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.9% | 17.8–23.9 |
| Frequent mental distress among adults | 16.9% | 14.9–19.0 |
| Frequent physical distress among adults | 15.6% | 13.7–17.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.5% | 12.6–16.6 |
| Any disability among adults | 33.4% | 29.0–38.0 |
| Hearing disability among adults | 8.3% | 7.4–9.4 |
| Independent living disability among adults | 9.5% | 8.3–10.8 |
| Mobility disability among adults | 16.7% | 14.4–19.1 |
| Self-care disability among adults | 4.5% | 3.9–5.1 |
| Vision disability among adults | 5.3% | 4.7–6.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.7% | 17.5–24.2 |
| Food insecurity in the past 12 months among adults | 13.7% | 11.3–16.7 |
| Received food stamps in the past 12 months among adults | 15.6% | 13.1–18.8 |
| Housing insecurity in the past 12 months among adults | 10.2% | 8.6–12.2 |
| Lack of reliable transportation in the past 12 months among adults | 7.4% | 6.3–8.6 |
| Loneliness among adults | 29.7% | 25.3–34.5 |
| Utility services shut-off threat in the past 12 months among adults | 6.4% | 5.4–7.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 7.6% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 22.0% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 9.1% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 12.3% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 4.2% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 7.5% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 77.8% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 17.7% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 78.8% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 4.4% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 0.2% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 46.1% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 14.6% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 34.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $71,250 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $201,100 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $843 | $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 | 82.2 yr ± 1.28 | 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 1.28 years of 82.2, 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