ZIP code
54750
in Maiden Rock, WisconsinPopulation 1,047
54.71/ 100
Ranked #9,811 of 32,066 US ZIPs (top 31%)
Ranked #316 of 763 Wisconsin ZIPs (top 41%)
Ranked #174 of 224 Minneapolis-St. Paul-Bloomington, MN-WI ZIPs (bottom 22%)
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.
PFAS in drinking water
7.7%
in the bottom 4.5% nationally
Lower is healthier
ST2ndUS4thDefinition & 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 ›Distance to a community health center
21 mi
in the top 7.7% nationally
Lower is healthier
ST97thUS92ndDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest federally funded community health center, which serves patients regardless of ability to pay.
Full methodology ›Poverty rate
2.6%
in the bottom 8.4% nationally
Lower is healthier
ST4thUS8thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Utility shut-off threat
4.6%
in the bottom 8.6% nationally
Lower is healthier
ST29thUS9thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Industrial-pollution burden
in the top 9.6% nationally
Lower is healthier
ST91stUS90thDefinition & 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 ›Walkability
2.4 intersections/sq mi
in the bottom 10.6% 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 ›Slow internet speeds
0.58%
in the top 18% nationally
Lower is healthier
ST92ndUS82ndDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›The read
Maiden Rock, Wisconsin (ZIP 54750), by its composite score, sits in the top 31% healthiest ZIPs nationally (9,811th) and the top 41% of Wisconsin (316th).
The standout strengths in the data are the natural place to begin: modeled pfas is in the bottom 4.5% nationally, and poverty lands in the bottom 8.4% nationally. Modeled utility shutoff stands in the bottom 8.6% nationally, and tooth loss registers in the bottom 11.1% nationally. Modeled transportation settles in the bottom 15% nationally. On the other side, distance to a community health center sits in the top 7.7% nationally, modeled industrial-pollution burden lies in the top 9.6% nationally, and walkability rests in the bottom 10.6% nationally. Modeled fine-particle resides in the top 11.7% nationally, and radon is in the top 13.8% nationally.
For anyone unfamiliar, 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. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. For a healthier comparison close by, see ZIP 54011, 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 Minneapolis-St. Paul-Bloomington, MN-WI metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Preventive Care
healthier than 77%
13%
Mental Health
healthier than 79%
8%
Disability
healthier than 69%
7%
About typical
Chronic Disease Burden
healthier than 58%
21%
Social Need / SDOH
healthier than 52%
16%
Environmental Hazard
healthier than 45%
14%
Risk Behavior
healthier than 43%
11%
Climate / Disaster Risk
healthier than 60%
5%
Holding it back
Healthcare Access
healthier than 8%
5%
Lifting this score
Mental Health
healthier than 86%
8%
Disability
healthier than 63%
7%
About typical
Chronic Disease Burden
healthier than 54%
21%
Preventive Care
healthier than 55%
13%
Risk Behavior
healthier than 56%
11%
Holding it back
Social Need / SDOH
healthier than 35%
16%
Environmental Hazard
healthier than 37%
14%
Climate / Disaster Risk
healthier than 27%
5%
Healthcare Access
healthier than 5%
5%
Lifting this score
Environmental Hazard
healthier than 90%
14%
Preventive Care
healthier than 74%
13%
Mental Health
healthier than 89%
8%
About typical
Climate / Disaster Risk
healthier than 45%
5%
Holding it back
Chronic Disease Burden
healthier than 5%
21%
Social Need / SDOH
healthier than 12%
16%
Risk Behavior
healthier than 15%
11%
Disability
healthier than 18%
7%
Healthcare Access
healthier than 15%
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
54011
Wisconsinshares a border
Score 56.00
Closest healthier
54740
Wisconsinshares a border
Score 54.99
Similar health profile
52310
Iowa99% similar profile
Score 55.19
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 | 30.2% | 26.8–33.7 |
| High blood pressure among adults | 36.6% | 32.7–40.8 |
| Cancer (non-skin) or melanoma among adults | 9.9% | 8.9–10.9 |
| Current asthma among adults | 10.5% | 9.3–11.8 |
| Coronary heart disease among adults | 7.5% | 6.6–8.5 |
| Chronic obstructive pulmonary disease among adults | 7.0% | 6.1–8.2 |
| Depression among adults | 21.6% | 18.5–25.0 |
| Diagnosed diabetes among adults | 12.2% | 10.5–14.1 |
| High cholesterol among adults who have ever been screened | 37.7% | 33.7–42.0 |
| Obesity among adults | 34.8% | 28.4–41.8 |
| Stroke among adults | 3.6% | 3.2–4.1 |
| All teeth lost among adults aged >=65 years | 7.6% | 6.1–9.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.9% | 5.5–8.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.7% | 76.7–82.5 |
| Visits to doctor for routine checkup within the past year among adults | 77.6% | 74.0–80.9 |
| Cholesterol screening among adults | 87.5% | 85.6–89.3 |
| Colorectal cancer screening among adults aged 45–75 years | 69.4% | 64.8–73.7 |
| Visited dentist or dental clinic in the past year among adults | 68.6% | 65.2–71.7 |
| Mammography use among women aged 50-74 years | 78.6% | 71.7–84.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.6% | 15.6–22.0 |
| Current cigarette smoking among adults | 14.6% | 12.0–17.3 |
| No leisure-time physical activity among adults | 27.2% | 22.7–32.3 |
| Short sleep duration among adults | 33.4% | 27.8–39.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.6% | 14.1–19.5 |
| Frequent mental distress among adults | 14.4% | 12.6–16.3 |
| Frequent physical distress among adults | 13.4% | 11.7–15.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.2% | 10.6–14.0 |
| Any disability among adults | 29.1% | 25.1–33.6 |
| Hearing disability among adults | 8.0% | 7.0–9.0 |
| Independent living disability among adults | 7.5% | 6.5–8.6 |
| Mobility disability among adults | 13.4% | 11.4–15.6 |
| Self-care disability among adults | 3.5% | 3.1–4.0 |
| Vision disability among adults | 4.2% | 3.7–4.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.6% | 16.1–22.9 |
| Food insecurity in the past 12 months among adults | 9.8% | 7.6–12.0 |
| Received food stamps in the past 12 months among adults | 10.1% | 7.9–12.2 |
| Housing insecurity in the past 12 months among adults | 8.0% | 6.4–9.5 |
| Lack of reliable transportation in the past 12 months among adults | 5.6% | 4.7–6.5 |
| Loneliness among adults | 29.4% | 24.6–34.4 |
| Utility services shut-off threat in the past 12 months among adults | 4.6% | 3.8–5.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 2.6% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 7.6% | 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+) | 22.6% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 1.0% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 1.3% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 89.1% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 22.8% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 91.1% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 0.2% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 1.2% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 59.3% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 28.7% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 50.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $93,750 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $308,800 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $860 | $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 | 81.6 yr ± 1.41 | 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 1.41 years of 81.6, 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