ZIP code
53047
in Lebanon, WisconsinPopulation 85
53.91/ 100
Ranked #10,811 of 32,066 US ZIPs (top 34%)
Ranked #370 of 763 Wisconsin ZIPs (top 48%)
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.
Unemployment rate
21.7%
in the top 1.7% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Natural-disaster risk
in the bottom 2.0% nationally
Lower is healthier
ST4thUS2ndDefinition & 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 ›PFAS in drinking water
8.3%
in the bottom 5.4% nationally
Lower is healthier
ST2ndUS5thDefinition & 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 ›Expected annual disaster loss
$0
in the bottom 5.7% nationally
Lower is healthier
ST2ndUS6thDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›Utility shut-off threat
4.5%
in the bottom 7.6% nationally
Lower is healthier
ST24thUS8thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Tooth loss
7.2%
in the bottom 9.2% nationally
Lower is healthier
ST11thUS9thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Floodplain exposure
23.1%
in the top 14.6% nationally
Lower is healthier
ST92ndUS85thDefinition & 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
$47,000
in the bottom 11.0% nationally
Higher is healthier
ST2ndUS11thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›The read
Overall, Lebanon, Wisconsin (ZIP 53047) lands in the top 34% healthiest ZIPs nationally (10,811th) and the top 48% of Wisconsin (370th).
The picture here is genuinely mixed, with readings on both sides: modeled disaster risk settles in the bottom 2.0% nationally, and pfas resides in the bottom 5.4% nationally. Modeled expected annual loss registers in the bottom 5.7% nationally, and utility shutoff rests in the bottom 7.6% nationally. Modeled loneliness stands in the bottom 11.6% nationally, tooth loss lies in the bottom 9.2% nationally, and transportation lands in the bottom 13.7% nationally. Crowded housing sits at the national minimum, shared with about 29% of ZIPs. On the other side, unemployment is in the top 1.7% nationally, and floodplain exposure settles in the top 14.6% nationally.
A note on the 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. 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. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. For a healthier nearby comparison, ZIP 53059, about 2.3 miles away, ranks better 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Environmental Hazard
healthier than 86%
14%
Preventive Care
healthier than 79%
13%
Mental Health
healthier than 71%
8%
Disability
healthier than 61%
7%
About typical
Chronic Disease Burden
healthier than 44%
21%
Social Need / SDOH
healthier than 57%
16%
Risk Behavior
healthier than 47%
11%
Holding it back
Climate / Disaster Risk
healthier than 39%
5%
Healthcare Access
healthier than 37%
5%
Lifting this score
Environmental Hazard
healthier than 91%
14%
Risk Behavior
healthier than 63%
11%
Mental Health
healthier than 75%
8%
About typical
Social Need / SDOH
healthier than 41%
16%
Preventive Care
healthier than 59%
13%
Disability
healthier than 48%
7%
Healthcare Access
healthier than 49%
5%
Holding it back
Chronic Disease Burden
healthier than 33%
21%
Climate / Disaster Risk
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
53098
Wisconsinshares a border
Score 52.76
Closest healthier
53059
Wisconsinabout 2.3 mi away
Score 54.14
Similar health profile
20618
Maryland97% similar profile
Score 52.89
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 | 31.3% | 27.9–34.8 |
| High blood pressure among adults | 36.8% | 32.7–40.9 |
| Cancer (non-skin) or melanoma among adults | 10.5% | 9.4–11.7 |
| Current asthma among adults | 10.7% | 9.4–12.0 |
| Coronary heart disease among adults | 8.1% | 7.0–9.4 |
| Chronic obstructive pulmonary disease among adults | 7.5% | 6.2–9.1 |
| Depression among adults | 22.2% | 19.1–25.4 |
| Diagnosed diabetes among adults | 12.2% | 10.4–14.3 |
| High cholesterol among adults who have ever been screened | 39.3% | 35.3–43.4 |
| Obesity among adults | 42.1% | 35.5–48.3 |
| Stroke among adults | 3.9% | 3.3–4.6 |
| All teeth lost among adults aged >=65 years | 7.2% | 5.8–9.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.8% | 5.1–9.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.2% | 78.3–83.9 |
| Visits to doctor for routine checkup within the past year among adults | 80.9% | 77.7–83.8 |
| Cholesterol screening among adults | 88.3% | 86.4–90.1 |
| Colorectal cancer screening among adults aged 45–75 years | 65.3% | 60.9–69.6 |
| Visited dentist or dental clinic in the past year among adults | 68.2% | 65.1–71.4 |
| Mammography use among women aged 50-74 years | 77.1% | 70.6–83.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.8% | 14.8–20.9 |
| Current cigarette smoking among adults | 14.5% | 11.4–17.6 |
| No leisure-time physical activity among adults | 28.6% | 23.3–33.7 |
| Short sleep duration among adults | 32.7% | 27.7–38.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 18.0% | 14.8–21.6 |
| Frequent mental distress among adults | 15.1% | 13.0–17.1 |
| Frequent physical distress among adults | 13.8% | 11.8–16.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.7% | 10.7–14.8 |
| Any disability among adults | 32.1% | 27.2–37.0 |
| Hearing disability among adults | 8.5% | 7.3–9.8 |
| Independent living disability among adults | 7.9% | 6.6–9.3 |
| Mobility disability among adults | 15.0% | 12.4–17.9 |
| Self-care disability among adults | 3.6% | 3.0–4.4 |
| Vision disability among adults | 4.4% | 3.7–5.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.8% | 16.4–23.2 |
| Food insecurity in the past 12 months among adults | 10.0% | 7.7–12.5 |
| Received food stamps in the past 12 months among adults | 9.9% | 7.7–12.4 |
| Housing insecurity in the past 12 months among adults | 7.9% | 6.2–9.7 |
| Lack of reliable transportation in the past 12 months among adults | 5.5% | 4.6–6.6 |
| Loneliness among adults | 28.7% | 24.2–33.1 |
| Utility services shut-off threat in the past 12 months among adults | 4.5% | 3.7–5.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 4.7% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 0.0% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 4.4% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 54.4% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 21.7% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 6.0% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 94.0% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 28.0% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 70.0% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 78.9% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 7.1% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 32.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $47,000 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $295,300 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $765 | $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 | 81.0 yr ± 1.02 | 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 1.02 years of 81.0, 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