ZIP code
98532
in Chehalis, WashingtonPopulation 27,135
51.37/ 100
Ranked #14,329 of 32,066 US ZIPs (top 45%)
Ranked #367 of 581 Washington ZIPs (bottom 37%)
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 ›Mental-health provider access
0.2 per 1,000 residents
in the top 4.4% nationally
Higher is healthier
ST96thUS96thDefinition & 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 ›Mammography
67.2%
in the bottom 5.9% nationally
Higher is healthier
ST12thUS6thDefinition & 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 6.2% nationally
Lower is healthier
ST79thUS94thDefinition & 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 ›Subsidized affordable housing
256 units
in the top 9.7% nationally
Higher is healthier
ST82ndUS90thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›The read
Overall, Chehalis, Washington (ZIP 98532) places in the top 45% healthiest ZIPs nationally (14,329th) and the bottom 37% of Washington (367th), based on limited data; treat as directional.
The data opens on a genuinely even set of readings: mental-health providers resides in the top 4.4% nationally, and subsidized affordable housing is in the top 9.7% nationally. Modeled humid heat lands in the bottom 10.5% nationally. Distance to a community health center stands at the national minimum, shared with about 23% of ZIPs. Outpatient registers in the top 12.1% nationally. On the other side, distance to a Superfund site settles at the national minimum, modeled mammography sits in the bottom 5.9% nationally, and modeled expected annual loss lies in the top 6.2% nationally. Modeled transportation noise rests in the top 11.6% nationally, and disaster risk resides in the top 12.4% nationally.
Beside the areas that surround it, expected annual loss runs far higher than the surrounding ZIPs on this measure. For readers new to these 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. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Among nearby ZIPs, the nearest healthier one overall is ZIP 98538, 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.
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 84%
16%
Environmental Hazard
healthier than 85%
14%
Risk Behavior
healthier than 65%
11%
Climate / Disaster RiskPartial
in the top 0.9%
5%
Healthcare Access
healthier than 79%
5%
About typical
Chronic Disease Burden
healthier than 54%
21%
Disability
healthier than 54%
7%
Holding it back
Preventive Care
healthier than 12%
13%
Mental Health
healthier than 21%
8%
Lifting this score
Social Need / SDOH
healthier than 61%
16%
Environmental Hazard
healthier than 75%
14%
Climate / Disaster RiskPartial
healthier than 97%
5%
Healthcare Access
healthier than 67%
5%
Holding it back
Chronic Disease Burden
healthier than 27%
21%
Preventive Care
healthier than 19%
13%
Risk Behavior
healthier than 15%
11%
Mental Health
healthier than 29%
8%
Disability
healthier than 29%
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 ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
98531
Washingtonshares a border
Score 46.82
Closest healthier
98538
Washingtonshares a border
Score 51.42
Similar health profile
97741
Oregon96% similar profile
Score 50.03
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 | 30.0% | 27.3–32.8 |
| High blood pressure among adults | 34.9% | 31.7–38.2 |
| Cancer (non-skin) or melanoma among adults | 9.5% | 8.7–10.4 |
| Current asthma among adults | 11.4% | 10.2–12.7 |
| Coronary heart disease among adults | 6.6% | 6.0–7.4 |
| Chronic obstructive pulmonary disease among adults | 6.9% | 6.2–7.7 |
| Depression among adults | 26.8% | 23.7–30.2 |
| Diagnosed diabetes among adults | 11.2% | 9.8–12.7 |
| High cholesterol among adults who have ever been screened | 38.0% | 34.5–41.6 |
| Obesity among adults | 38.1% | 33.0–43.5 |
| Stroke among adults | 3.7% | 3.4–4.0 |
| All teeth lost among adults aged >=65 years | 12.2% | 10.1–14.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.2% | 7.2–9.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 73.5% | 70.5–76.3 |
| Visits to doctor for routine checkup within the past year among adults | 68.4% | 64.8–72.0 |
| Cholesterol screening among adults | 83.1% | 81.3–84.8 |
| Colorectal cancer screening among adults aged 45–75 years | 63.9% | 59.6–68.1 |
| Visited dentist or dental clinic in the past year among adults | 61.9% | 58.6–65.1 |
| Mammography use among women aged 50-74 years | 67.2% | 60.1–73.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.5% | 14.0–19.4 |
| Current cigarette smoking among adults | 13.7% | 12.0–15.6 |
| No leisure-time physical activity among adults | 20.7% | 17.8–24.0 |
| Short sleep duration among adults | 36.4% | 31.9–41.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 18.9% | 16.8–21.3 |
| Frequent mental distress among adults | 17.8% | 16.0–19.7 |
| Frequent physical distress among adults | 15.3% | 13.7–16.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.4% | 13.8–17.1 |
| Any disability among adults | 31.7% | 28.4–35.2 |
| Hearing disability among adults | 8.2% | 7.4–9.1 |
| Independent living disability among adults | 8.4% | 7.5–9.3 |
| Mobility disability among adults | 13.7% | 12.1–15.4 |
| Self-care disability among adults | 3.8% | 3.5–4.2 |
| Vision disability among adults | 4.7% | 4.3–5.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 8.8% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 8.9% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 6.5% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 25.2% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 4.4% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 4.8% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 89.6% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 27.4% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 79.2% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 2.7% | 1.3% (0.0–6.3%) n=32,322 | 2.6% (0.0–7.9%) n=580 |
| Foreign-born population | 4.1% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 57.1% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 20.3% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 41.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $89,910 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $427,100 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | $1,142 | $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 | 80.5 yr ± 0.71 | 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 0.71 years of 80.5, 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