ZIP code
54011
in Ellsworth, WisconsinPopulation 7,054
56.00/ 100
Ranked #8,282 of 32,066 US ZIPs (top 26%)
Ranked #248 of 763 Wisconsin ZIPs (top 33%)
Ranked #159 of 224 Minneapolis-St. Paul-Bloomington, MN-WI ZIPs (bottom 29%)
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 top 6.4% nationally
Lower is healthier
ST94thUS94thDefinition & 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 ›Binge drinking
19.9%
in the top 6.6% nationally
Lower is healthier
ST75thUS93rdDefinition & source ›
The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.
Full methodology ›Distance to a community health center
22 mi
in the top 7.1% nationally
Lower is healthier
ST98thUS93rdDefinition & 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 ›Nitrate in drinking water
0.48%
in the top 7.3% nationally
Lower is healthier
ST87thUS93rdDefinition & source ›
The modeled share of this area’s domestic-well groundwater at or above the federal nitrate limit of 10 milligrams 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 ›Arsenic in groundwater
1.7%
in the bottom 19% nationally
Lower is healthier
ST3rdUS19thDefinition & 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 ›Median household income
$102,636
in the top 17% nationally
Higher is healthier
ST91stUS83rdDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›The read
By the composite measure, Ellsworth, Wisconsin (ZIP 54011) sits in the top 26% healthiest ZIPs nationally (8,282nd) and the top 33% of Wisconsin (248th).
Where this area does well, the measures make it plain: modeled utility shutoff lands in the bottom 10.9% nationally, and grocery resides in the top 12.2% nationally. Distance to a nursing home lies at the national minimum, shared with about 27% of ZIPs. Recreation settles in the top 16% nationally. Against that, modeled industrial-pollution burden stands in the top 6.4% nationally, and binge drinking is in the top 6.6% nationally. Distance to a community health center rests in the top 7.1% nationally, and modeled nitrate sits in the top 7.3% nationally. Modeled fine-particle registers in the top 11.7% nationally. Distance to a hazardous-chemical facility lands at the national minimum, shared with about 31% of ZIPs.
In plain language, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Nitrate is a groundwater compound from fertilizer, manure, and sewage, here a modeled estimate of the chance private-well levels exceed a benchmark. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. ZIP 54003, 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. 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
Chronic Disease Burden
healthier than 69%
21%
Social Need / SDOH
healthier than 77%
16%
Preventive Care
healthier than 68%
13%
Mental Health
healthier than 69%
8%
Disability
healthier than 74%
7%
Climate / Disaster Risk
healthier than 83%
5%
Holding it back
Environmental Hazard
healthier than 38%
14%
Risk Behavior
healthier than 38%
11%
Healthcare Access
healthier than 8%
5%
Lifting this score
Chronic Disease Burden
healthier than 74%
21%
Social Need / SDOH
healthier than 71%
16%
Mental Health
healthier than 72%
8%
Disability
healthier than 72%
7%
Climate / Disaster Risk
healthier than 75%
5%
About typical
Risk Behavior
healthier than 47%
11%
Holding it back
Environmental Hazard
healthier than 29%
14%
Preventive Care
healthier than 37%
13%
Healthcare Access
healthier than 4%
5%
Lifting this score
Environmental Hazard
healthier than 80%
14%
Mental Health
healthier than 73%
8%
Climate / Disaster Risk
healthier than 88%
5%
About typical
Preventive Care
healthier than 58%
13%
Holding it back
Chronic Disease Burden
healthier than 13%
21%
Social Need / SDOH
healthier than 34%
16%
Risk Behavior
healthier than 11%
11%
Disability
healthier than 26%
7%
Healthcare Access
healthier than 14%
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
54003
Wisconsinshares a border
Score 56.58
Closest healthier
54021
Wisconsinshares a border
Score 58.95
Similar health profile
14134
New York96% similar profile
Score 57.08
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 | 28.1% | 25.1–31.3 |
| High blood pressure among adults | 33.8% | 30.0–37.7 |
| Cancer (non-skin) or melanoma among adults | 9.1% | 8.2–10.0 |
| Current asthma among adults | 10.7% | 9.5–12.0 |
| Coronary heart disease among adults | 6.6% | 5.9–7.3 |
| Chronic obstructive pulmonary disease among adults | 6.5% | 5.7–7.4 |
| Depression among adults | 22.6% | 19.4–26.0 |
| Diagnosed diabetes among adults | 10.9% | 9.4–12.5 |
| High cholesterol among adults who have ever been screened | 35.6% | 31.7–39.7 |
| Obesity among adults | 34.7% | 28.1–41.6 |
| Stroke among adults | 3.3% | 3.0–3.6 |
| All teeth lost among adults aged >=65 years | 9.4% | 7.5–11.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.0% | 5.7–8.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.5% | 74.5–80.3 |
| Visits to doctor for routine checkup within the past year among adults | 76.2% | 72.7–79.7 |
| Cholesterol screening among adults | 86.4% | 84.6–88.1 |
| Colorectal cancer screening among adults aged 45–75 years | 68.2% | 63.4–72.4 |
| Visited dentist or dental clinic in the past year among adults | 68.8% | 65.5–71.8 |
| Mammography use among women aged 50-74 years | 79.2% | 72.4–84.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 19.9% | 16.8–23.4 |
| Current cigarette smoking among adults | 14.4% | 12.3–16.9 |
| No leisure-time physical activity among adults | 26.2% | 22.1–30.6 |
| 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 | 16.0% | 13.8–18.5 |
| Frequent mental distress among adults | 15.0% | 13.3–16.9 |
| Frequent physical distress among adults | 12.9% | 11.4–14.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.5% | 11.1–14.2 |
| Any disability among adults | 28.2% | 24.4–32.1 |
| Hearing disability among adults | 7.2% | 6.4–8.1 |
| Independent living disability among adults | 7.5% | 6.6–8.5 |
| Mobility disability among adults | 12.5% | 10.8–14.3 |
| Self-care disability among adults | 3.3% | 3.0–3.7 |
| Vision disability among adults | 4.0% | 3.6–4.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.4% | 16.4–22.6 |
| Food insecurity in the past 12 months among adults | 9.9% | 8.2–11.8 |
| Received food stamps in the past 12 months among adults | 10.4% | 8.6–12.3 |
| Housing insecurity in the past 12 months among adults | 8.4% | 7.1–9.8 |
| Lack of reliable transportation in the past 12 months among adults | 5.8% | 5.0–6.6 |
| Loneliness among adults | 29.9% | 25.2–34.8 |
| Utility services shut-off threat in the past 12 months among adults | 4.8% | 4.1–5.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 7.2% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 4.3% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 5.5% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 25.4% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 1.4% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 1.5% | 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) | 18.5% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 78.9% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 2.8% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 3.2% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 52.0% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 15.0% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 40.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $102,636 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $305,500 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $1,064 | $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 | 81.1 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 81.1, 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