ZIP code
54806
in Ashland, WisconsinPopulation 11,704
50.16/ 100
Ranked #16,010 of 32,066 US ZIPs (top 50%)
Ranked #563 of 763 Wisconsin ZIPs (bottom 26%)
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 hazardous-chemical facility
37.4 mi
in the top 1.3% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest facility that handles enough hazardous chemicals to require an EPA risk-management plan for accidental releases.
Full methodology ›Mental-health provider access
0.35 per 1,000 residents
in the top 1.6% nationally
Higher is healthier
ST99thUS98thDefinition & source ›
The number of mental-health clinics 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 ›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 ›Outpatient-care access
0.7 per 1,000 residents
in the top 4.0% nationally
Higher is healthier
ST99thUS96thDefinition & source ›
The number of outpatient clinics 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 ›Industrial-pollution burden
in the bottom 4.3% nationally
Lower is healthier
ST3rdUS4thDefinition & 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 ›Grocery access
0.26 per 1,000 residents
in the top 4.6% nationally
Higher is healthier
ST94thUS95thDefinition & source ›
The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Air-toxics cancer risk
19.6 per million
in the bottom 7.5% nationally
Lower is healthier
ST8thUS7thDefinition & source ›
The EPA’s modeled estimate of added lifetime cancer risk from breathing outdoor air toxics, in cases per million people exposed over a lifetime.
Full methodology ›Expected annual disaster loss
$0
in the top 8.1% nationally
Lower is healthier
ST85thUS92ndDefinition & 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 ›Pharmacy access
0.35 per 1,000 residents
in the top 10.7% nationally
Higher is healthier
ST95thUS89thDefinition & source ›
The number of pharmacies 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 ›Tree cover
58.2%
in the top 16% nationally
Higher is healthier
ST96thUS84thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›The read
Ashland, Wisconsin (ZIP 54806), overall, ranks in the top 50% healthiest ZIPs nationally (16,010th) and the bottom 26% of Wisconsin (563rd), based on limited data; treat as directional.
Taken together, the data gives a genuinely mixed reading: distance to a hazardous-chemical facility registers in the top 1.3% nationally, mental-health providers resides in the top 1.6% nationally, and outpatient settles in the top 4.0% nationally. Modeled industrial-pollution burden is in the bottom 4.3% nationally, and grocery sits in the top 4.6% nationally. Distance to an emergency room lands at the national minimum, shared with about 11% of ZIPs. Modeled air-toxics cancer risk lies in the bottom 7.5% nationally, and pharmacy stands in the top 10.7% nationally. On the other side, distance to a Superfund site rests at the national minimum, and modeled expected annual loss registers in the top 8.1% nationally.
Measured against the nearby ZIPs, park land runs far lower than the surrounding ZIPs on this measure. Defined simply, 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. Distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. ZIP 54847, just across the boundary, comes out 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Environmental Hazard
healthier than 87%
14%
Climate / Disaster RiskPartial
healthier than 99%
5%
Healthcare Access
in the top 0.00%
5%
About typical
Chronic Disease Burden
healthier than 44%
21%
Social Need / SDOH
healthier than 46%
16%
Preventive Care
healthier than 50%
13%
Holding it back
Risk Behavior
healthier than 30%
11%
Mental Health
healthier than 29%
8%
Disability
healthier than 37%
7%
Lifting this score
Environmental Hazard
healthier than 92%
14%
Climate / Disaster RiskPartial
in the top 0.2%
5%
Healthcare Access
in the top 0.00%
5%
Holding it back
Chronic Disease Burden
healthier than 33%
21%
Social Need / SDOH
healthier than 29%
16%
Preventive Care
healthier than 15%
13%
Risk Behavior
healthier than 32%
11%
Mental Health
healthier than 5%
8%
Disability
healthier than 16%
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 ›
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.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 76.2 ± 1.9 years. A median household income of $64,864 predicts 78.4 years — 2.1 years below.
Ranked #2,886 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Below its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 76.2 ± 1.9 years. The 47 nearest ZIP codes with estimates average 80.3 years — 4.0 years below them.
Ranked #3,030 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
54546
Wisconsinshares a border
Score 49.50
Closest healthier
54847
Wisconsinshares a border
Score 55.97
Similar health profile
15501
Pennsylvania97% similar profile
Score 49.88
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 | 28.3% | 25.7–31.0 |
| High blood pressure among adults | 35.3% | 32.1–38.5 |
| Cancer (non-skin) or melanoma among adults | 9.0% | 8.3–9.8 |
| Current asthma among adults | 11.7% | 10.6–13.0 |
| Coronary heart disease among adults | 7.9% | 7.2–8.7 |
| Chronic obstructive pulmonary disease among adults | 8.4% | 7.6–9.3 |
| Depression among adults | 25.9% | 22.8–29.2 |
| Diagnosed diabetes among adults | 13.3% | 11.8–15.0 |
| High cholesterol among adults who have ever been screened | 34.6% | 31.2–37.9 |
| Obesity among adults | 41.3% | 35.5–47.2 |
| Stroke among adults | 4.1% | 3.8–4.5 |
| All teeth lost among adults aged >=65 years | 13.3% | 10.9–15.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.0% | 6.9–9.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.1% | 76.8–81.3 |
| Visits to doctor for routine checkup within the past year among adults | 77.4% | 74.2–80.3 |
| Cholesterol screening among adults | 84.1% | 82.3–85.8 |
| Colorectal cancer screening among adults aged 45–75 years | 68.3% | 63.8–72.1 |
| Visited dentist or dental clinic in the past year among adults | 61.9% | 58.6–64.9 |
| Mammography use among women aged 50-74 years | 75.6% | 68.9–81.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.5% | 14.9–20.3 |
| Current cigarette smoking among adults | 17.3% | 15.2–19.4 |
| No leisure-time physical activity among adults | 30.9% | 27.1–35.0 |
| Short sleep duration among adults | 33.3% | 28.3–38.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.1% | 18.9–23.6 |
| Frequent mental distress among adults | 17.3% | 15.6–19.1 |
| Frequent physical distress among adults | 15.3% | 13.8–17.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.0% | 13.5–16.5 |
| Any disability among adults | 34.0% | 30.4–37.8 |
| Hearing disability among adults | 8.6% | 7.8–9.4 |
| Independent living disability among adults | 9.9% | 9.0–11.0 |
| Mobility disability among adults | 16.4% | 14.7–18.3 |
| Self-care disability among adults | 4.5% | 4.1–4.9 |
| Vision disability among adults | 5.8% | 5.3–6.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.9% | 18.2–23.6 |
| Food insecurity in the past 12 months among adults | 15.1% | 13.1–17.2 |
| Received food stamps in the past 12 months among adults | 17.2% | 15.0–19.4 |
| Housing insecurity in the past 12 months among adults | 11.4% | 9.9–12.9 |
| Lack of reliable transportation in the past 12 months among adults | 8.7% | 7.8–9.7 |
| Loneliness among adults | 32.9% | 28.8–36.9 |
| Utility services shut-off threat in the past 12 months among adults | 7.2% | 6.3–8.1 |
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 | 10.3% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 4.0% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 27.4% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 3.7% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 5.4% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 86.5% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 23.6% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 70.9% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 3.1% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 2.3% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 57.5% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 19.7% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 41.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $64,864 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $185,800 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $763 | $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 | 76.2 yr ± 0.97 | 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 0.97 years of 76.2, 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