ZIP code
53505
in Avalon, WisconsinPopulation 358
52.41/ 100
Ranked #12,889 of 32,066 US ZIPs (top 40%)
Ranked #455 of 763 Wisconsin ZIPs (bottom 40%)
Ranked #6 of 12 Janesville-Beloit, 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.
Natural-disaster risk
in the bottom 7.3% nationally
Lower is healthier
ST9thUS7thDefinition & 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 ›Poverty rate
2.2%
in the bottom 7.4% nationally
Lower is healthier
ST3rdUS7thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Floodplain exposure
0.39%
in the bottom 9.1% nationally
Lower is healthier
ST5thUS9thDefinition & 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 ›PFAS in drinking water
10.6%
in the bottom 10.5% nationally
Lower is healthier
ST9thUS10thDefinition & 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 ›Walkability
2.4 intersections/sq mi
in the bottom 10.5% nationally
Higher is healthier
ST7thUS10thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Housing-cost burden
12.2%
in the bottom 12.8% nationally
Lower is healthier
ST5thUS13thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Expected annual disaster loss
$0
in the bottom 27% nationally
Lower is healthier
ST8thUS27thDefinition & 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 ›The read
Overall, Avalon, Wisconsin (ZIP 53505) lands in the top 40% healthiest ZIPs nationally (12,889th) and the bottom 40% of Wisconsin (455th).
The measures that set this area apart are worth putting up front: modeled disaster risk sits in the bottom 7.3% nationally, and poverty is in the bottom 7.4% nationally. Households without a vehicle settles at the national minimum, shared with about 16% of ZIPs. Floodplain exposure resides in the bottom 9.1% nationally, modeled pfas registers in the bottom 10.5% nationally, and housing-cost burden rests in the bottom 12.8% nationally. Crowded housing stands at the national minimum, shared with about 29% of ZIPs. Set against that, walkability lies in the bottom 10.5% nationally. Distance to a hazardous-chemical facility lands at the national minimum, shared with about 31% of ZIPs. Modeled industrial-pollution burden sits in the top 16% nationally.
Set beside the nearby areas, park land runs far lower than the surrounding ZIPs on this measure. 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. Distance to a hazardous-chemical facility is a plant handling large amounts of hazardous chemicals that must file an EPA risk-management plan for accidental releases. For a healthier nearby comparison, ZIP 53115, just across the boundary, 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. Compare it against the US, this state and the Janesville-Beloit, WI metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Environmental Hazard
healthier than 70%
14%
Mental Health
healthier than 67%
8%
Climate / Disaster Risk
healthier than 89%
5%
About typical
Chronic Disease Burden
healthier than 46%
21%
Social Need / SDOH
healthier than 56%
16%
Preventive Care
healthier than 52%
13%
Disability
healthier than 53%
7%
Holding it back
Risk Behavior
healthier than 38%
11%
Healthcare Access
healthier than 30%
5%
Lifting this score
Environmental Hazard
healthier than 74%
14%
Mental Health
healthier than 68%
8%
Climate / Disaster Risk
healthier than 86%
5%
About typical
Risk Behavior
healthier than 48%
11%
Holding it back
Chronic Disease Burden
healthier than 35%
21%
Social Need / SDOH
healthier than 39%
16%
Preventive Care
healthier than 16%
13%
Disability
healthier than 36%
7%
Healthcare Access
healthier than 39%
5%
Lifting this score
Environmental Hazard
healthier than 91%
14%
Mental Health
in the top 0.00%
8%
Climate / Disaster Risk
in the top 0.00%
5%
About typical
Preventive Care
healthier than 45%
13%
Risk Behavior
healthier than 55%
11%
Healthcare Access
healthier than 45%
5%
Holding it back
Chronic Disease Burden
in the bottom 0.00%
21%
Social Need / SDOH
healthier than 36%
16%
Disability
healthier than 9%
7%
“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
53114
Wisconsinshares a border
Score 49.57
Closest healthier
53115
Wisconsinshares a border
Score 55.00
Similar health profile
16333
Pennsylvania96% similar profile
Score 50.82
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 | 28.5% | 25.2–31.9 |
| High blood pressure among adults | 36.2% | 32.5–40.3 |
| Cancer (non-skin) or melanoma among adults | 9.4% | 8.4–10.5 |
| Current asthma among adults | 10.7% | 9.4–12.2 |
| Coronary heart disease among adults | 8.4% | 7.2–10.0 |
| Chronic obstructive pulmonary disease among adults | 7.5% | 5.9–9.4 |
| Depression among adults | 22.6% | 19.6–26.3 |
| Diagnosed diabetes among adults | 13.3% | 11.3–15.6 |
| High cholesterol among adults who have ever been screened | 36.8% | 33.1–41.0 |
| Obesity among adults | 41.6% | 35.8–48.3 |
| Stroke among adults | 3.9% | 3.2–4.6 |
| All teeth lost among adults aged >=65 years | 12.9% | 10.5–15.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.2% | 5.9–11.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.8% | 75.8–81.8 |
| Visits to doctor for routine checkup within the past year among adults | 77.3% | 73.8–80.6 |
| Cholesterol screening among adults | 86.3% | 83.9–88.6 |
| Colorectal cancer screening among adults aged 45–75 years | 65.7% | 61.3–70.1 |
| Visited dentist or dental clinic in the past year among adults | 66.1% | 63.1–69.3 |
| Mammography use among women aged 50-74 years | 74.3% | 67.1–80.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.0% | 14.3–20.2 |
| Current cigarette smoking among adults | 15.9% | 12.2–20.1 |
| No leisure-time physical activity among adults | 29.8% | 24.4–36.0 |
| Short sleep duration among adults | 34.2% | 29.7–39.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.6% | 16.5–25.4 |
| Frequent mental distress among adults | 15.3% | 13.1–17.7 |
| Frequent physical distress among adults | 14.5% | 12.1–17.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.2% | 10.8–15.9 |
| Any disability among adults | 32.2% | 27.2–37.8 |
| Hearing disability among adults | 8.8% | 7.5–10.3 |
| Independent living disability among adults | 8.3% | 6.7–10.2 |
| Mobility disability among adults | 15.1% | 12.2–18.5 |
| Self-care disability among adults | 4.0% | 3.2–5.0 |
| Vision disability among adults | 4.8% | 3.9–5.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.1% | 17.5–25.0 |
| Food insecurity in the past 12 months among adults | 11.7% | 8.5–15.4 |
| Received food stamps in the past 12 months among adults | 12.3% | 8.8–16.0 |
| Housing insecurity in the past 12 months among adults | 9.2% | 6.9–11.4 |
| Lack of reliable transportation in the past 12 months among adults | 6.4% | 5.0–7.8 |
| Loneliness among adults | 29.9% | 25.4–34.7 |
| Utility services shut-off threat in the past 12 months among adults | 5.2% | 4.1–6.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 2.2% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 1.3% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 3.6% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 24.3% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 4.4% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 89.6% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 12.2% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 85.4% | 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 | 82.6% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 21.5% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 50.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $91,500 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $300,000 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $931 | $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 | 80.6 yr ± 2.06 | 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 2.06 years of 80.6, 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