ZIP code
98563
in Montesano, WashingtonPopulation 7,604
53.65/ 100
Ranked #11,159 of 32,066 US ZIPs (top 35%)
Ranked #289 of 581 Washington 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.
Tree cover
79.3%
in the top 5.2% nationally
Higher is healthier
ST94thUS95thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Humid extreme heat
10.2 days/year
in the bottom 7.3% nationally
Lower is healthier
ST48thUS7thDefinition & 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 ›Air-toxics cancer risk
19.5 per million
in the bottom 7.4% nationally
Lower is healthier
ST11thUS7thDefinition & 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 ›Natural-disaster risk
in the top 8.7% nationally
Lower is healthier
ST69thUS91stDefinition & 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 ›Arsenic in groundwater
1.8%
in the bottom 21% nationally
Lower is healthier
ST5thUS21stDefinition & 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 ›The read
Montesano, Washington (ZIP 98563), on the composite measure, lands in the top 35% healthiest ZIPs nationally (11,159th) and the top 50% of Washington (289th).
Reading across the measures, this area's clearest strengths come through: modeled tree cover resides in the top 5.2% nationally, humid heat lies in the bottom 7.3% nationally, and air-toxics cancer risk settles in the bottom 7.4% nationally. Poverty stands in the bottom 13.5% nationally. Distance to a nursing home is at the national minimum, shared with about 27% of ZIPs. By contrast, modeled disaster risk rests in the top 8.7% nationally, and expected annual loss sits in the top 11.4% nationally. Walkability registers in the bottom 12.2% nationally, and lead in tap water lands in the top 13.1% nationally. Crowded housing resides in the top 13.3% nationally.
Set against the neighboring ZIPs, park land runs far higher than the surrounding ZIPs on this measure. In everyday language, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. A healthier neighbor overall sits at ZIP 98502, about 13 miles away.
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 76%
16%
Environmental Hazard
healthier than 96%
14%
Risk Behavior
healthier than 71%
11%
Disability
healthier than 63%
7%
Climate / Disaster Risk
healthier than 84%
5%
About typical
Chronic Disease Burden
healthier than 51%
21%
Healthcare Access
healthier than 55%
5%
Holding it back
Preventive Care
healthier than 35%
13%
Mental Health
healthier than 29%
8%
Lifting this score
Environmental Hazard
healthier than 89%
14%
Preventive Care
healthier than 61%
13%
About typical
Mental Health
healthier than 40%
8%
Disability
healthier than 42%
7%
Climate / Disaster Risk
healthier than 50%
5%
Healthcare Access
healthier than 43%
5%
Holding it back
Chronic Disease Burden
healthier than 25%
21%
Social Need / SDOH
healthier than 39%
16%
Risk Behavior
healthier than 23%
11%
“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
98520
Washingtonshares a border
Score 45.81
Closest healthier
98502
Washingtonabout 13 mi away
Score 59.99
Similar health profile
98625
Washington96% similar profile
Score 55.68
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 | 30.5% | 27.5–33.4 |
| High blood pressure among adults | 36.9% | 33.4–40.3 |
| Cancer (non-skin) or melanoma among adults | 10.6% | 9.6–11.6 |
| Current asthma among adults | 11.3% | 10.0–12.5 |
| Coronary heart disease among adults | 7.1% | 6.4–7.9 |
| Chronic obstructive pulmonary disease among adults | 6.7% | 6.0–7.5 |
| Depression among adults | 26.3% | 23.0–29.5 |
| Diagnosed diabetes among adults | 11.6% | 10.1–13.2 |
| High cholesterol among adults who have ever been screened | 38.5% | 34.8–42.1 |
| Obesity among adults | 33.8% | 28.7–39.0 |
| Stroke among adults | 3.7% | 3.3–4.0 |
| All teeth lost among adults aged >=65 years | 12.8% | 10.6–15.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.0% | 6.0–8.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.0% | 71.9–77.9 |
| Visits to doctor for routine checkup within the past year among adults | 71.3% | 67.7–74.7 |
| Cholesterol screening among adults | 85.9% | 84.1–87.4 |
| Colorectal cancer screening among adults aged 45–75 years | 67.7% | 63.4–71.7 |
| Visited dentist or dental clinic in the past year among adults | 64.0% | 60.8–67.1 |
| Mammography use among women aged 50-74 years | 74.5% | 67.8–80.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.1% | 13.5–19.0 |
| Current cigarette smoking among adults | 12.0% | 10.3–13.9 |
| No leisure-time physical activity among adults | 19.6% | 16.7–22.8 |
| Short sleep duration among adults | 37.6% | 32.9–42.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.6% | 15.5–19.9 |
| Frequent mental distress among adults | 17.0% | 15.1–18.9 |
| Frequent physical distress among adults | 14.1% | 12.5–15.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.0% | 12.4–15.6 |
| Any disability among adults | 31.4% | 27.8–35.0 |
| Hearing disability among adults | 8.3% | 7.5–9.3 |
| Independent living disability among adults | 7.5% | 6.7–8.3 |
| Mobility disability among adults | 13.8% | 12.1–15.6 |
| Self-care disability among adults | 3.5% | 3.2–3.9 |
| Vision disability among adults | 4.2% | 3.8–4.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 3.9% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 6.0% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 6.9% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 22.4% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 4.1% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 2.9% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 92.0% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 24.3% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 74.4% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 5.2% | 1.3% (0.0–6.3%) n=32,322 | 2.6% (0.0–7.9%) n=580 |
| Foreign-born population | 4.4% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 60.3% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 27.4% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 48.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $84,634 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $349,200 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | $1,132 | $1,021 ($677–$1,912) n=25,670 | $1,416 ($840–$2,197) n=476 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 79.3 yr ± 0.66 | 78.9 yr (74.7–82.8) n=31,308 | 80.2 yr (77.3–83.1) n=584 |
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 0.66 years of 79.3, 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