ZIP code
54447
in Lublin, WisconsinPopulation 546
45.68/ 100
Ranked #21,676 of 32,066 US ZIPs (bottom 32%)
Ranked #718 of 763 Wisconsin ZIPs (bottom 5.9%)
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.
Obesity
46.3%
in the top 2.8% nationally
Lower is healthier
ST99thUS97thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Natural-disaster risk
in the bottom 6.7% nationally
Lower is healthier
ST8thUS7thDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›Walkability
2.3 intersections/sq mi
in the bottom 9.0% nationally
Higher is healthier
ST6thUS9thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Energy-cost burden
5.2%
in the top 7.2% nationally
Lower is healthier
ST97thUS93rdDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›Park land
12.2%
in the top 10.3% nationally
Higher is healthier
ST91stUS90thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Loud transportation noise
1.4%
in the top 12.4% nationally
Lower is healthier
ST91stUS88thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 65 decibels — around the volume of normal conversation.
Full methodology ›Crowded housing
5.4%
in the top 12.5% nationally
Lower is healthier
ST95thUS88thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Home broadband subscription
77.5%
in the bottom 12.8% nationally
Higher is healthier
ST6thUS13thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Households without a vehicle
10.8%
in the top 13.2% nationally
Lower is healthier
ST94thUS87thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Industrial-pollution burden
in the bottom 13.7% nationally
Lower is healthier
ST5thUS14thDefinition & 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 ›The read
In overall standing, Lublin, Wisconsin (ZIP 54447) comes out in the bottom 32% nationally (21,676th) and the bottom 5.9% of Wisconsin (718th).
The measures fall on both sides of the ledger for this area: modeled disaster risk stands in the bottom 6.7% nationally, park land lands in the top 10.3% nationally, and modeled humid heat is in the bottom 11.1% nationally. Set against that, modeled obesity resides in the top 2.8% nationally, walkability rests in the bottom 9.0% nationally, and modeled energy burden lies in the top 7.2% nationally. Fiber broadband sits at the national minimum, shared with about 19% of ZIPs. Modeled fine-particle settles in the top 11.7% nationally, and loud transportation noise registers in the top 12.4% nationally. Crowded housing stands in the top 12.5% nationally.
Relative to the ZIPs around it, park land runs far higher than the surrounding ZIPs on this measure. In plain terms, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Energy burden is the share of household income that goes to home energy bills. The nearest healthier ZIP overall is ZIP 54433, 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
Climate / Disaster Risk
healthier than 87%
5%
About typical
Environmental Hazard
healthier than 53%
14%
Preventive Care
healthier than 58%
13%
Mental Health
healthier than 43%
8%
Holding it back
Chronic Disease Burden
healthier than 31%
21%
Social Need / SDOH
healthier than 11%
16%
Risk Behavior
healthier than 19%
11%
Disability
healthier than 29%
7%
Healthcare Access
healthier than 12%
5%
Lifting this score
Climate / Disaster Risk
healthier than 81%
5%
About typical
Environmental Hazard
healthier than 47%
14%
Holding it back
Chronic Disease Burden
healthier than 19%
21%
Social Need / SDOH
healthier than 3%
16%
Preventive Care
healthier than 23%
13%
Risk Behavior
healthier than 14%
11%
Mental Health
healthier than 18%
8%
Disability
healthier than 7%
7%
Healthcare Access
healthier than 9%
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
54433
Wisconsinshares a border
Score 46.08
Closest healthier
54498
Wisconsinshares a border
Score 46.30
Similar health profile
16222
Pennsylvania98% similar profile
Score 46.88
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% | 27.8–34.1 |
| High blood pressure among adults | 37.9% | 34.2–41.7 |
| Cancer (non-skin) or melanoma among adults | 9.3% | 8.3–10.2 |
| Current asthma among adults | 11.2% | 9.9–12.6 |
| Coronary heart disease among adults | 8.8% | 7.8–9.9 |
| Chronic obstructive pulmonary disease among adults | 9.5% | 8.1–11.0 |
| Depression among adults | 23.0% | 19.8–26.5 |
| Diagnosed diabetes among adults | 13.5% | 11.7–15.5 |
| High cholesterol among adults who have ever been screened | 37.5% | 33.6–41.4 |
| Obesity among adults | 46.3% | 39.8–52.9 |
| Stroke among adults | 4.4% | 3.9–4.9 |
| All teeth lost among adults aged >=65 years | 10.1% | 8.1–12.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.6% | 7.5–12.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.2% | 77.6–82.6 |
| Visits to doctor for routine checkup within the past year among adults | 78.2% | 74.7–81.4 |
| Cholesterol screening among adults | 84.4% | 82.1–86.5 |
| Colorectal cancer screening among adults aged 45–75 years | 69.2% | 64.4–73.5 |
| Visited dentist or dental clinic in the past year among adults | 62.3% | 58.8–65.7 |
| Mammography use among women aged 50-74 years | 77.8% | 70.7–83.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.4% | 14.6–20.5 |
| Current cigarette smoking among adults | 18.9% | 15.8–22.0 |
| No leisure-time physical activity among adults | 34.7% | 29.7–39.8 |
| Short sleep duration among adults | 32.8% | 27.4–38.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 23.1% | 19.7–26.5 |
| Frequent mental distress among adults | 17.6% | 15.6–19.8 |
| Frequent physical distress among adults | 16.2% | 14.2–18.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.8% | 13.6–18.1 |
| Any disability among adults | 36.6% | 32.1–41.3 |
| Hearing disability among adults | 9.2% | 8.2–10.3 |
| Independent living disability among adults | 10.3% | 8.9–11.8 |
| Mobility disability among adults | 18.1% | 15.5–20.7 |
| Self-care disability among adults | 4.9% | 4.2–5.7 |
| Vision disability among adults | 5.8% | 5.1–6.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.5% | 17.3–24.1 |
| Food insecurity in the past 12 months among adults | 15.0% | 12.1–18.4 |
| Received food stamps in the past 12 months among adults | 17.9% | 14.7–21.7 |
| Housing insecurity in the past 12 months among adults | 11.0% | 9.2–13.3 |
| Lack of reliable transportation in the past 12 months among adults | 8.2% | 6.9–9.6 |
| Loneliness among adults | 31.8% | 27.2–36.9 |
| Utility services shut-off threat in the past 12 months among adults | 6.7% | 5.6–7.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 13.9% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 24.8% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 15.6% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 12.5% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 1.1% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 10.8% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 77.5% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 26.0% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 85.8% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 5.4% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 1.3% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 56.6% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 16.8% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 39.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $73,214 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $176,600 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $820 | $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 | 85.4 yr ± 2.33 | 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 2.33 years of 85.4, 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