ZIP code
97480
in Swisshome, OregonPopulation 295
44.41/ 100
Ranked #23,009 of 32,066 US ZIPs (bottom 28%)
Ranked #302 of 407 Oregon ZIPs (bottom 26%)
Ranked #29 of 34 Eugene-Springfield, OR ZIPs (bottom 14.8%)
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.
PFAS in drinking water
2.4%
in the bottom 0.09% nationally
Lower is healthier
ST1stUS1stDefinition & 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 ›Park land
73.7%
in the top 1.0% nationally
Higher is healthier
ST96thUS99thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Tree cover
91.3%
in the top 1.0% nationally
Higher is healthier
ST98thUS99thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Humid extreme heat
2.9 days/year
in the bottom 1.7% nationally
Lower is healthier
ST13thUS2ndDefinition & source ›
The average number of days per year when modeled heat stress — temperature, humidity, sun, and wind combined — reaches levels hard on the body outdoors.
Full methodology ›Distance to a hazardous-chemical facility
23.1 mi
in the top 3.6% nationally
Higher is healthier
ST82ndUS96thDefinition & 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 ›Arsenic in groundwater
1.1%
in the bottom 3.9% nationally
Lower is healthier
ST2ndUS4thDefinition & source ›
The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms 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 ›Transportation noise
11.8%
in the top 6.5% nationally
Lower is healthier
ST93rdUS94thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Poverty rate
30.2%
in the top 6.8% nationally
Lower is healthier
ST92ndUS93rdDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Walkability
2 intersections/sq mi
in the bottom 7.1% nationally
Higher is healthier
ST19thUS7thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Distance to a nursing home
12 mi
in the top 8.0% nationally
Lower is healthier
ST68thUS92ndDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›The read
Swisshome, Oregon (ZIP 97480) ranks in the bottom 28% nationally (23,009th) and the bottom 26% of Oregon (302nd).
A number of readings press hard on the profile and set its tone: modeled transportation noise rests in the top 6.5% nationally, and poverty lands in the top 6.8% nationally. Walkability settles in the bottom 7.1% nationally, and distance to a nursing home rests in the top 8.0% nationally. On the brighter side, modeled pfas lands in the bottom 0.09% nationally, park land settles in the top 1.0% nationally, and modeled tree cover rests in the top 1.0% nationally. Modeled humid heat lands in the bottom 1.7% nationally, distance to a hazardous-chemical facility settles in the top 3.6% nationally, and modeled arsenic rests in the bottom 3.9% nationally.
Against its neighbors, park land runs far higher than the surrounding ZIPs on this measure. For context, 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. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. The closest ZIP that ranks healthier overall is ZIP 97390, 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 Eugene-Springfield, OR metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Social Need / SDOH
healthier than 83%
16%
Environmental Hazard
healthier than 89%
14%
Risk Behavior
healthier than 84%
11%
Climate / Disaster Risk
in the top 0.9%
5%
Holding it back
Chronic Disease Burden
healthier than 7%
21%
Preventive Care
healthier than 29%
13%
Mental Health
healthier than 16%
8%
Disability
healthier than 19%
7%
Healthcare Access
healthier than 8%
5%
Lifting this score
Social Need / SDOH
healthier than 78%
16%
Environmental Hazard
healthier than 81%
14%
Climate / Disaster Risk
healthier than 98%
5%
About typical
Risk Behavior
healthier than 53%
11%
Holding it back
Chronic Disease Burden
healthier than 9%
21%
Preventive Care
healthier than 37%
13%
Mental Health
healthier than 36%
8%
Disability
healthier than 12%
7%
Healthcare Access
healthier than 14%
5%
Lifting this score
Social Need / SDOH
healthier than 88%
16%
Environmental Hazard
healthier than 85%
14%
Climate / Disaster Risk
in the top 0.00%
5%
About typical
Preventive Care
healthier than 45%
13%
Mental Health
healthier than 45%
8%
Holding it back
Chronic Disease Burden
healthier than 6%
21%
Risk Behavior
healthier than 24%
11%
Disability
healthier than 9%
7%
Healthcare Access
healthier than 27%
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
97390
Oregonshares a border
Score 50.95
Closest healthier
97430
Oregonshares a border
Score 44.93
Similar health profile
97543
Oregon96% similar profile
Score 44.83
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 | 38.8% | 35.5–42.2 |
| High blood pressure among adults | 42.9% | 39.3–46.5 |
| Cancer (non-skin) or melanoma among adults | 12.1% | 10.9–13.4 |
| Current asthma among adults | 12.9% | 11.5–14.5 |
| Coronary heart disease among adults | 10.0% | 8.7–11.3 |
| Chronic obstructive pulmonary disease among adults | 11.7% | 9.6–13.9 |
| Depression among adults | 27.4% | 24.4–30.6 |
| Diagnosed diabetes among adults | 15.1% | 13.0–17.3 |
| High cholesterol among adults who have ever been screened | 41.4% | 37.8–45.0 |
| Obesity among adults | 38.0% | 33.3–42.8 |
| Stroke among adults | 5.3% | 4.6–6.0 |
| All teeth lost among adults aged >=65 years | 22.2% | 18.1–26.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.7% | 5.8–9.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.5% | 74.4–80.4 |
| Visits to doctor for routine checkup within the past year among adults | 75.8% | 72.6–78.7 |
| Cholesterol screening among adults | 85.0% | 82.8–87.0 |
| Colorectal cancer screening among adults aged 45–75 years | 59.6% | 54.8–64.1 |
| Visited dentist or dental clinic in the past year among adults | 58.8% | 55.4–62.3 |
| Mammography use among women aged 50-74 years | 74.5% | 67.5–80.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.2% | 10.2–14.2 |
| Current cigarette smoking among adults | 16.5% | 13.2–19.8 |
| No leisure-time physical activity among adults | 24.0% | 19.8–28.1 |
| Short sleep duration among adults | 31.3% | 27.1–35.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 24.7% | 20.8–28.6 |
| Frequent mental distress among adults | 18.4% | 16.2–20.7 |
| Frequent physical distress among adults | 18.1% | 15.6–20.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.5% | 14.1–19.0 |
| Any disability among adults | 37.8% | 33.2–42.3 |
| Hearing disability among adults | 10.3% | 9.0–11.6 |
| Independent living disability among adults | 10.8% | 9.1–12.5 |
| Mobility disability among adults | 20.2% | 17.0–23.5 |
| Self-care disability among adults | 5.5% | 4.6–6.5 |
| Vision disability among adults | 6.6% | 5.6–7.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OR median (p10–p90) |
|---|---|---|---|
| Poverty rate | 30.2% | 10.6% (3.1–25.8%) n=32,364 | 11.7% (4.7–26.4%) n=411 |
| Uninsured 18–64 | 30.2% | 9.0% (1.5–24.3%) n=32,286 | 7.9% (0.9–19.7%) n=411 |
| No HS diploma (25+) | 18.6% | 7.9% (1.8–20.7%) n=32,505 | 7.5% (1.2–16.6%) n=412 |
| Bachelor's or higher (25+) | 25.1% | 23.3% (9.2–53.6%) n=32,505 | 23.7% (11.1–49.6%) n=412 |
| Unemployment rate (16+) | 3.6% | 3.9% (0.0–9.8%) n=32,274 | 4.8% (0.0–10.0%) n=409 |
| Households without a vehicle | 2.5% | 3.9% (0.0–12.5%) n=32,322 | 3.3% (0.0–10.0%) n=410 |
| Broadband subscription | 89.2% | 89.3% (75.1–97.1%) n=32,322 | 90.4% (76.7–96.9%) n=410 |
| Housing cost burden (≥30% income) | 16.7% | 23.7% (10.6–40.0%) n=32,322 | 29.9% (14.6–42.0%) n=410 |
| Homeownership rate | 68.3% | 78.7% (51.7–94.0%) n=32,322 | 73.5% (52.8–90.2%) n=410 |
| Crowded housing (>1 per room) | 2.5% | 1.3% (0.0–6.3%) n=32,322 | 2.1% (0.0–6.7%) n=410 |
| Foreign-born population | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 4.0% (0.0–13.0%) n=412 |
| Single-parent households | 70.3% | 53.6% (37.3–74.1%) n=32,087 | 57.5% (43.5–77.1%) n=407 |
| Population 65+ | 29.2% | 19.4% (10.8–33.6%) n=32,553 | 22.5% (12.7–42.1%) n=412 |
| Median age | 59.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.1 yr (36.3–62.2) n=410 |
| Median household income | $67,045 | $72,070 ($46,039–$118,707) n=30,318 | $72,301 ($49,007–$109,558) n=378 |
| Median home value | $307,700 | $222,200 ($100,300–$579,820) n=30,049 | $413,900 ($238,120–$653,360) n=374 |
| Median gross rent | $941 | $1,021 ($677–$1,912) n=25,670 | $1,252 ($807–$1,772) n=327 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | OR median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 75.7 yr ± 2.13 | 78.9 yr (74.7–82.8) n=31,308 | 79.1 yr (76.4–82.0) n=409 |
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 2.13 years of 75.7, 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