ZIP code
97479
in Sutherlin, OregonPopulation 10,447
47.50/ 100
Ranked #19,553 of 32,066 US ZIPs (bottom 39%)
Ranked #238 of 407 Oregon ZIPs (bottom 42%)
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.
Air-toxics cancer risk
55.2 per million
in the top 0.4% nationally
Lower is healthier
ST91stUS99thDefinition & 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 ›Floodplain exposure
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & 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
64.6%
in the top 6.2% nationally
Lower is healthier
ST99thUS94thDefinition & 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 ›Transit access
4.1 per 1,000 residents
in the top 7.1% nationally
Higher is healthier
ST84thUS93rdDefinition & source ›
The number of public-transit stops 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 ›Fine-particle (PM2.5) exceedance
1.00%
in the top 9.6% nationally
Lower is healthier
ST67thUS90thDefinition & source ›
The share of days in the year when modeled fine-particle (PM2.5) pollution was above the EPA’s daily limit of 35 micrograms per cubic meter.
Full methodology ›Radon
0.9 pCi/L
in the bottom 16% nationally
Lower is healthier
ST5thUS16thDefinition & source ›
The modeled typical indoor radon level for this area, in picocuries per liter — the EPA recommends fixing a home at 4 pCi/L or above.
Modeled from indoor-radon measurements. In Alaska and Hawaii, where those measurements are not published, a US Geological Survey geologic radon-potential category stands in — a coarser input, disclosed rather than hidden.
Full methodology ›The read
On the composite measure, Sutherlin, Oregon (ZIP 97479) stands in the bottom 39% nationally (19,553rd) and the bottom 42% of Oregon (238th).
A balanced set of signals defines this area, not any single one: floodplain exposure lies at the national minimum, and transit is in the top 7.1% nationally. Distance to a community health center registers at the national minimum, shared with about 23% of ZIPs. Distance to a hazardous-chemical facility lies in the top 16% nationally, modeled humid heat is in the bottom 16% nationally, and modeled radon registers in the bottom 16% nationally. By contrast, modeled air-toxics cancer risk lies in the top 0.4% nationally, pfas is in the top 6.2% nationally, and fine-particle registers in the top 9.6% nationally. Modeled loud transportation noise lies in the top 13.7% nationally.
For clarity, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. 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. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. ZIP 97462, just across the boundary, ranks better overall among the ZIPs nearby.
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
Social Need / SDOH
healthier than 63%
16%
Risk Behavior
healthier than 82%
11%
Climate / Disaster Risk
healthier than 96%
5%
About typical
Preventive Care
healthier than 48%
13%
Healthcare Access
healthier than 52%
5%
Holding it back
Chronic Disease Burden
healthier than 21%
21%
Environmental Hazard
healthier than 9%
14%
Mental Health
healthier than 25%
8%
Disability
healthier than 36%
7%
Lifting this score
Preventive Care
healthier than 66%
13%
Mental Health
healthier than 62%
8%
Climate / Disaster Risk
healthier than 77%
5%
About typical
Risk Behavior
healthier than 49%
11%
Healthcare Access
healthier than 53%
5%
Holding it back
Chronic Disease Burden
healthier than 30%
21%
Social Need / SDOH
healthier than 34%
16%
Environmental Hazard
healthier than 20%
14%
Disability
healthier than 37%
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
3 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 74.9 ± 1.4 years. A median household income of $59,335 predicts 78.0 years — 3.2 years below.
Ranked #4,302 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 74.9 ± 1.4 years. The 49 nearest ZIP codes with estimates average 77.7 years — 2.9 years below them.
Ranked #2,250 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Highest-risk tenth
Air toxics and the years between the two ends of the risk scale
Modeled air-toxics cancer risk is 55.2 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 74.9 ± 1.4 years.
Ranked #66 of the 4,173 ZIP codes this finding names, ordered by modeled air-toxics risk, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
97462
Oregonshares a border
Score 49.30
Closest healthier
97471
Oregonshares a border
Score 49.40
Similar health profile
99156
Washington95% similar profile
Score 47.86
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 | 34.7% | 31.4–38.3 |
| High blood pressure among adults | 38.9% | 35.2–43.0 |
| Cancer (non-skin) or melanoma among adults | 11.8% | 10.7–12.9 |
| Current asthma among adults | 12.8% | 11.4–14.4 |
| Coronary heart disease among adults | 8.9% | 7.9–9.9 |
| Chronic obstructive pulmonary disease among adults | 9.1% | 8.0–10.4 |
| Depression among adults | 26.6% | 23.1–30.5 |
| Diagnosed diabetes among adults | 13.6% | 11.8–15.6 |
| High cholesterol among adults who have ever been screened | 39.2% | 35.1–43.5 |
| Obesity among adults | 36.2% | 30.3–42.6 |
| Stroke among adults | 4.5% | 4.0–4.9 |
| All teeth lost among adults aged >=65 years | 15.7% | 12.7–19.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.2% | 7.0–9.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.9% | 72.8–78.9 |
| Visits to doctor for routine checkup within the past year among adults | 76.5% | 73.1–79.7 |
| Cholesterol screening among adults | 85.7% | 84.0–87.3 |
| Colorectal cancer screening among adults aged 45–75 years | 65.2% | 60.2–70.0 |
| Visited dentist or dental clinic in the past year among adults | 63.5% | 59.6–67.0 |
| Mammography use among women aged 50-74 years | 77.6% | 70.2–83.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.7% | 11.4–16.5 |
| Current cigarette smoking among adults | 13.2% | 11.3–15.3 |
| No leisure-time physical activity among adults | 24.7% | 20.8–29.0 |
| Short sleep duration among adults | 32.3% | 27.1–37.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.9% | 19.1–24.9 |
| Frequent mental distress among adults | 17.3% | 15.3–19.3 |
| Frequent physical distress among adults | 16.2% | 14.3–18.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.6% | 13.8–17.5 |
| Any disability among adults | 35.9% | 31.7–40.2 |
| Hearing disability among adults | 9.7% | 8.6–10.9 |
| Independent living disability among adults | 9.1% | 8.1–10.2 |
| Mobility disability among adults | 17.3% | 15.1–19.8 |
| Self-care disability among adults | 4.1% | 3.7–4.6 |
| Vision disability among adults | 5.3% | 4.8–5.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OR median (p10–p90) |
|---|---|---|---|
| Poverty rate | 11.9% | 10.6% (3.1–25.8%) n=32,364 | 11.7% (4.7–26.4%) n=411 |
| Uninsured 18–64 | 4.5% | 9.0% (1.5–24.3%) n=32,286 | 7.9% (0.9–19.7%) n=411 |
| No HS diploma (25+) | 7.4% | 7.9% (1.8–20.7%) n=32,505 | 7.5% (1.2–16.6%) n=412 |
| Bachelor's or higher (25+) | 16.6% | 23.3% (9.2–53.6%) n=32,505 | 23.7% (11.1–49.6%) n=412 |
| Unemployment rate (16+) | 6.9% | 3.9% (0.0–9.8%) n=32,274 | 4.8% (0.0–10.0%) n=409 |
| Households without a vehicle | 6.5% | 3.9% (0.0–12.5%) n=32,322 | 3.3% (0.0–10.0%) n=410 |
| Broadband subscription | 88.9% | 89.3% (75.1–97.1%) n=32,322 | 90.4% (76.7–96.9%) n=410 |
| Housing cost burden (≥30% income) | 35.0% | 23.7% (10.6–40.0%) n=32,322 | 29.9% (14.6–42.0%) n=410 |
| Homeownership rate | 68.7% | 78.7% (51.7–94.0%) n=32,322 | 73.5% (52.8–90.2%) n=410 |
| Crowded housing (>1 per room) | 2.3% | 1.3% (0.0–6.3%) n=32,322 | 2.1% (0.0–6.7%) n=410 |
| Foreign-born population | 2.2% | 2.6% (0.0–18.6%) n=32,553 | 4.0% (0.0–13.0%) n=412 |
| Single-parent households | 54.1% | 53.6% (37.3–74.1%) n=32,087 | 57.5% (43.5–77.1%) n=407 |
| Population 65+ | 25.5% | 19.4% (10.8–33.6%) n=32,553 | 22.5% (12.7–42.1%) n=412 |
| Median age | 45.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.1 yr (36.3–62.2) n=410 |
| Median household income | $59,335 | $72,070 ($46,039–$118,707) n=30,318 | $72,301 ($49,007–$109,558) n=378 |
| Median home value | $291,900 | $222,200 ($100,300–$579,820) n=30,049 | $413,900 ($238,120–$653,360) n=374 |
| Median gross rent | $1,301 | $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 | 74.9 yr ± 0.73 | 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 0.73 years of 74.9, 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