ZIP code
54932
in Eldorado, WisconsinPopulation 1,218
55.05/ 100
Ranked #9,385 of 32,066 US ZIPs (top 29%)
Ranked #296 of 763 Wisconsin ZIPs (top 39%)
Ranked #7 of 14 Fond du Lac, WI ZIPs (top 50%)
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.
Utility shut-off threat
4.3%
in the bottom 5.7% nationally
Lower is healthier
ST17thUS6thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Mammography
82.1%
in the top 3.8% nationally
Higher is healthier
ST89thUS96thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Homeownership rate
96.1%
in the top 7.3% nationally
Higher is healthier
ST96thUS93rdDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Short sleep
29.7%
in the bottom 8.3% nationally
Lower is healthier
ST11thUS8thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Lack of transportation
5.1%
in the bottom 8.7% nationally
Lower is healthier
ST13thUS9thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Poverty rate
2.8%
in the bottom 9.0% nationally
Lower is healthier
ST5thUS9thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Housing-cost burden
10.7%
in the bottom 10.2% nationally
Lower is healthier
ST4thUS10thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Obesity
43.5%
in the top 7.5% 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 ›Floodplain exposure
28%
in the top 11.2% nationally
Lower is healthier
ST95thUS89thDefinition & 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 ›Median household income
$110,125
in the top 13.4% nationally
Higher is healthier
ST95thUS87thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›The read
In its overall standing, Eldorado, Wisconsin (ZIP 54932) lands in the top 29% healthiest ZIPs nationally (9,385th) and the top 39% of Wisconsin (296th).
Reading the numbers as a whole, this area's strong points come through first: modeled utility shutoff rests in the bottom 5.7% nationally, modeled mammography registers in the top 3.8% nationally, and homeownership resides in the top 7.3% nationally. Modeled short sleep settles in the bottom 8.3% nationally, modeled transportation is in the bottom 8.7% nationally, and poverty sits in the bottom 9.0% nationally. Housing-cost burden lands in the bottom 10.2% nationally, and modeled housing insecurity lies in the bottom 12.3% nationally. Set against that, modeled obesity stands in the top 7.5% nationally, and floodplain exposure rests in the top 11.2% nationally.
Put simply, 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 54904, 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. Compare it against the US, this state and the Fond du Lac, 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 71%
16%
Preventive Care
healthier than 85%
13%
Mental Health
healthier than 70%
8%
Disability
healthier than 72%
7%
About typical
Chronic Disease Burden
healthier than 50%
21%
Environmental Hazard
healthier than 50%
14%
Risk Behavior
healthier than 55%
11%
Holding it back
Climate / Disaster Risk
healthier than 33%
5%
Healthcare Access
healthier than 23%
5%
Lifting this score
Social Need / SDOH
healthier than 63%
16%
Preventive Care
healthier than 73%
13%
Risk Behavior
healthier than 74%
11%
Mental Health
healthier than 74%
8%
Disability
healthier than 68%
7%
About typical
Chronic Disease Burden
healthier than 41%
21%
Environmental Hazard
healthier than 43%
14%
Holding it back
Climate / Disaster Risk
healthier than 5%
5%
Healthcare Access
healthier than 26%
5%
Lifting this score
Preventive Care
healthier than 77%
13%
Risk Behavior
healthier than 77%
11%
Mental Health
healthier than 92%
8%
Disability
healthier than 62%
7%
Healthcare Access
healthier than 62%
5%
About typical
Social Need / SDOH
healthier than 54%
16%
Holding it back
Chronic Disease Burden
healthier than 8%
21%
Environmental Hazard
healthier than 38%
14%
Climate / Disaster Risk
in the bottom 0.00%
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
54904
Wisconsinshares a border
Score 59.72
Closest healthier
54979
Wisconsinshares a border
Score 56.26
Similar health profile
52756
Iowa99% similar profile
Score 58.46
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 | 30.9% | 27.7–34.4 |
| High blood pressure among adults | 36.4% | 32.8–40.3 |
| Cancer (non-skin) or melanoma among adults | 10.0% | 9.0–11.1 |
| Current asthma among adults | 10.7% | 9.4–12.1 |
| Coronary heart disease among adults | 7.3% | 6.3–8.3 |
| Chronic obstructive pulmonary disease among adults | 6.8% | 5.7–8.1 |
| Depression among adults | 23.3% | 20.1–26.9 |
| Diagnosed diabetes among adults | 11.7% | 10.0–13.6 |
| High cholesterol among adults who have ever been screened | 38.2% | 34.4–42.2 |
| Obesity among adults | 43.5% | 37.6–49.7 |
| Stroke among adults | 3.5% | 3.1–4.1 |
| All teeth lost among adults aged >=65 years | 9.0% | 7.2–11.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.0% | 5.5–8.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.8% | 76.7–82.7 |
| Visits to doctor for routine checkup within the past year among adults | 79.6% | 76.2–82.6 |
| Cholesterol screening among adults | 88.4% | 86.5–90.1 |
| Colorectal cancer screening among adults aged 45–75 years | 67.8% | 63.2–71.9 |
| Visited dentist or dental clinic in the past year among adults | 66.5% | 63.0–69.8 |
| Mammography use among women aged 50-74 years | 82.1% | 76.2–87.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.6% | 15.6–21.8 |
| Current cigarette smoking among adults | 14.6% | 11.8–17.6 |
| No leisure-time physical activity among adults | 27.9% | 23.3–32.7 |
| Short sleep duration among adults | 29.7% | 24.8–35.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.6% | 14.0–19.7 |
| Frequent mental distress among adults | 14.4% | 12.6–16.3 |
| Frequent physical distress among adults | 13.5% | 11.6–15.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.9% | 10.1–13.7 |
| Any disability among adults | 30.4% | 26.3–34.9 |
| Hearing disability among adults | 7.8% | 6.8–8.9 |
| Independent living disability among adults | 7.2% | 6.1–8.3 |
| Mobility disability among adults | 14.1% | 11.9–16.5 |
| Self-care disability among adults | 3.3% | 2.8–3.8 |
| Vision disability among adults | 3.9% | 3.4–4.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.1% | 17.0–23.5 |
| Food insecurity in the past 12 months among adults | 9.0% | 7.0–11.2 |
| Received food stamps in the past 12 months among adults | 9.1% | 7.0–11.3 |
| Housing insecurity in the past 12 months among adults | 7.6% | 6.1–9.3 |
| Lack of reliable transportation in the past 12 months among adults | 5.1% | 4.3–6.1 |
| Loneliness among adults | 29.7% | 25.5–34.2 |
| Utility services shut-off threat in the past 12 months among adults | 4.3% | 3.5–5.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 2.8% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 17.7% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 2.3% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 19.8% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 1.5% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 1.4% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 89.3% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 10.7% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 96.1% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 2.9% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 0.6% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 73.8% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 14.9% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 41.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $110,125 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $271,000 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $1,042 | $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 | 82.0 yr ± 1.11 | 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 1.11 years of 82.0, 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