ZIP code
54650
in Onalaska, WisconsinPopulation 25,304
60.57/ 100
Ranked #4,433 of 32,066 US ZIPs (top 13.9%)
Ranked #87 of 763 Wisconsin ZIPs (top 11.5%)
Ranked #3 of 26 La Crosse-Onalaska, WI-MN ZIPs (top 11.6%)
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.
Distance to a Superfund site
In this ZIP
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Superfund site — an abandoned or uncontrolled hazardous-waste site the EPA has listed for cleanup.
Full methodology ›Utility shut-off threat
4.0%
in the bottom 3.8% nationally
Lower is healthier
ST10thUS4thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Mammography
83.1%
in the top 2.3% nationally
Higher is healthier
ST94thUS98thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Expected annual disaster loss
$0
in the top 4.5% nationally
Lower is healthier
ST92ndUS96thDefinition & 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 ›Nitrate in drinking water
0.92%
in the top 6.6% nationally
Lower is healthier
ST89thUS93rdDefinition & 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 ›Lack of transportation
4.9%
in the bottom 6.7% nationally
Lower is healthier
ST9thUS7thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›PFAS in drinking water
62.2%
in the top 7.1% nationally
Lower is healthier
ST97thUS93rdDefinition & 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 ›Food insecurity
8.0%
in the bottom 7.3% nationally
Lower is healthier
ST9thUS7thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Housing insecurity
7.0%
in the bottom 7.4% nationally
Lower is healthier
ST10thUS7thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Dental provider access
0.9 per 1,000 residents
in the top 8.6% nationally
Higher is healthier
ST94thUS91stDefinition & source ›
The number of dental offices located inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›The read
In overall standing, Onalaska, Wisconsin (ZIP 54650) comes out in the top 13.9% healthiest ZIPs nationally (4,433rd) and the top 11.5% of Wisconsin (87th).
The profile opens balanced, with readings on either hand: modeled utility shutoff lies in the bottom 3.8% nationally, mammography sits in the top 2.3% nationally, and transportation settles in the bottom 6.7% nationally. Modeled food insecurity registers in the bottom 7.3% nationally, modeled housing insecurity stands in the bottom 7.4% nationally, and dental providers lands in the top 8.6% nationally. By contrast, distance to a Superfund site is at the national minimum, and modeled expected annual loss resides in the top 4.5% nationally. Modeled nitrate rests in the top 6.6% nationally, and pfas lies in the top 7.1% nationally.
Relative to the ZIPs around it, expected annual loss runs far higher than the surrounding ZIPs on this measure. In plain terms, distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Nitrate is a groundwater compound from fertilizer, manure, and sewage, here a modeled estimate of the chance private-well levels exceed a benchmark. The nearest healthier ZIP overall is ZIP 54669, 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. Compare it against the US, this state and the La Crosse-Onalaska, WI-MN 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 74%
21%
Social Need / SDOH
healthier than 88%
16%
Preventive Care
healthier than 94%
13%
Risk Behavior
healthier than 71%
11%
Mental Health
healthier than 71%
8%
Disability
healthier than 85%
7%
About typical
Healthcare Access
healthier than 54%
5%
Holding it back
Environmental Hazard
healthier than 21%
14%
Climate / Disaster Risk
healthier than 39%
5%
Lifting this score
Chronic Disease Burden
healthier than 80%
21%
Social Need / SDOH
healthier than 89%
16%
Preventive Care
healthier than 90%
13%
Risk Behavior
healthier than 89%
11%
Mental Health
healthier than 76%
8%
Disability
healthier than 89%
7%
Healthcare Access
healthier than 73%
5%
Holding it back
Environmental Hazard
healthier than 16%
14%
Climate / Disaster Risk
healthier than 9%
5%
Lifting this score
Chronic Disease Burden
healthier than 91%
21%
Social Need / SDOH
healthier than 96%
16%
Preventive Care
in the top 0.00%
13%
Risk Behavior
healthier than 91%
11%
Mental Health
healthier than 78%
8%
Disability
healthier than 96%
7%
Healthcare Access
healthier than 74%
5%
Holding it back
Environmental Hazard
healthier than 13%
14%
Climate / Disaster Risk
healthier than 13%
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 ›
Findings that name this ZIP
2 of our published findings list this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.
Above what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 81.2 ± 1.5 years. A median household income of $85,548 predicts 79.5 years — 1.8 years above.
Ranked #1,087 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 21.0; chronic-disease standing 73.6 — 53 points apart, heavier on the environment than it is on chronic illness.
Ranked #14,645 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
54601
Wisconsinshares a border
Score 52.51
Closest healthier
54669
Wisconsinshares a border
Score 60.98
Similar health profile
01949
Massachusetts99% similar profile
Score 62.17
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 | 27.2% | 24.5–30.0 |
| High blood pressure among adults | 31.2% | 28.0–34.5 |
| Cancer (non-skin) or melanoma among adults | 9.5% | 8.6–10.4 |
| Current asthma among adults | 10.7% | 9.6–11.9 |
| Coronary heart disease among adults | 6.1% | 5.5–6.8 |
| Chronic obstructive pulmonary disease among adults | 5.5% | 4.9–6.2 |
| Depression among adults | 23.2% | 20.2–26.4 |
| Diagnosed diabetes among adults | 10.1% | 8.8–11.5 |
| High cholesterol among adults who have ever been screened | 36.3% | 32.7–39.8 |
| Obesity among adults | 36.5% | 31.3–42.1 |
| Stroke among adults | 3.0% | 2.8–3.3 |
| All teeth lost among adults aged >=65 years | 8.1% | 6.4–10.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.6% | 4.8–6.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.7% | 75.9–81.2 |
| Visits to doctor for routine checkup within the past year among adults | 80.2% | 77.2–82.9 |
| Cholesterol screening among adults | 88.3% | 86.8–89.7 |
| Colorectal cancer screening among adults aged 45–75 years | 73.1% | 68.8–77.2 |
| Visited dentist or dental clinic in the past year among adults | 73.5% | 70.3–76.4 |
| Mammography use among women aged 50-74 years | 83.1% | 77.0–88.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.9% | 16.1–21.9 |
| Current cigarette smoking among adults | 11.2% | 9.7–12.9 |
| No leisure-time physical activity among adults | 23.4% | 20.1–27.0 |
| Short sleep duration among adults | 31.0% | 26.0–36.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 14.7% | 12.9–16.7 |
| Frequent mental distress among adults | 14.3% | 12.7–15.9 |
| Frequent physical distress among adults | 11.7% | 10.4–13.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 10.9% | 9.7–12.3 |
| Any disability among adults | 27.7% | 24.5–31.2 |
| Hearing disability among adults | 6.7% | 6.0–7.5 |
| Independent living disability among adults | 6.5% | 5.9–7.3 |
| Mobility disability among adults | 11.9% | 10.4–13.5 |
| Self-care disability among adults | 2.8% | 2.5–3.1 |
| Vision disability among adults | 3.5% | 3.2–3.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 18.5% | 15.7–21.2 |
| Food insecurity in the past 12 months among adults | 8.0% | 6.7–9.3 |
| Received food stamps in the past 12 months among adults | 8.0% | 6.8–9.3 |
| Housing insecurity in the past 12 months among adults | 7.0% | 5.9–8.2 |
| Lack of reliable transportation in the past 12 months among adults | 4.9% | 4.3–5.6 |
| Loneliness among adults | 30.2% | 26.1–34.4 |
| Utility services shut-off threat in the past 12 months among adults | 4.0% | 3.4–4.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 5.3% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 6.2% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 2.0% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 40.5% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 3.0% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 6.5% | 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) | 22.2% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 68.0% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 0.7% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 3.5% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 56.9% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 20.8% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 41.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $85,548 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $291,600 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $1,147 | $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 | 81.2 yr ± 0.78 | 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 0.78 years of 81.2, 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