ZIP code
98952
in White Swan, WashingtonPopulation 2,015
40.23/ 100
Ranked #26,596 of 32,066 US ZIPs (bottom 17%)
Ranked #567 of 581 Washington ZIPs (bottom 2.5%)
Ranked #19 of 21 Yakima, WA ZIPs (bottom 9.6%)
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.
Crowded housing
30.2%
in the top 0.5% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Fine-particle (PM2.5) exceedance
3.1%
in the top 2.2% nationally
Lower is healthier
ST95thUS98thDefinition & 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 ›Fatal road crashes
59.6 per 100,000 residents per year
in the top 2.3% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
Full methodology ›Mammography
65.5%
in the bottom 3.4% nationally
Higher is healthier
ST6thUS3rdDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Poverty rate
41.3%
in the top 2.8% nationally
Lower is healthier
ST98thUS97thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Colon-cancer screening
55.9%
in the bottom 5.9% nationally
Higher is healthier
ST4thUS6thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Slow internet speeds
1.9%
in the top 6.3% nationally
Lower is healthier
ST93rdUS94thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Walkability
1.8 intersections/sq mi
in the bottom 6.3% nationally
Higher is healthier
ST13thUS6thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Unemployment rate
11.8%
in the top 6.6% nationally
Lower is healthier
ST94thUS93rdDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Floodplain exposure
0.00%
in the bottom 6.6% nationally
Lower is healthier
ST9thUS7thDefinition & 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 ›The read
In its overall standing, White Swan, Washington (ZIP 98952) lands in the bottom 17% nationally (26,596th) and the bottom 2.5% of Washington (567th).
This area's pressures are easy to read across the measures: crowded housing stands in the top 0.5% nationally, modeled fine-particle rests in the top 2.2% nationally, and fatal road crashes registers in the top 2.3% nationally. Modeled mammography resides in the bottom 3.4% nationally, poverty settles in the top 2.8% nationally, and modeled colon screening is in the bottom 5.9% nationally. Slow internet speeds sits in the top 6.3% nationally, and walkability lands in the bottom 6.3% nationally. Unemployment lies in the top 6.6% nationally. On the brighter side, floodplain exposure stands in the bottom 6.6% nationally.
Against the wider neighborhood, crowded housing runs far higher than the surrounding ZIPs on this measure. Put simply, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". On the overall standing, ZIP 98903, just across the boundary, ranks healthier.
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 Yakima, WA metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Climate / Disaster Risk
healthier than 81%
5%
About typical
Chronic Disease Burden
healthier than 57%
21%
Holding it back
Social Need / SDOH
healthier than 22%
16%
Environmental Hazard
healthier than 31%
14%
Preventive Care
healthier than 2%
13%
Risk Behavior
healthier than 31%
11%
Mental Health
healthier than 17%
8%
Disability
healthier than 18%
7%
Healthcare Access
healthier than 22%
5%
Nothing measured is lifting this score.
About typical
Climate / Disaster Risk
healthier than 45%
5%
Holding it back
Chronic Disease Burden
healthier than 30%
21%
Social Need / SDOH
healthier than 1%
16%
Environmental Hazard
healthier than 32%
14%
Preventive Care
healthier than 4%
13%
Risk Behavior
healthier than 3%
11%
Mental Health
healthier than 24%
8%
Disability
healthier than 4%
7%
Healthcare Access
healthier than 19%
5%
Lifting this score
Environmental Hazard
in the top 0.00%
14%
Climate / Disaster Risk
healthier than 81%
5%
About typical
Disability
healthier than 44%
7%
Holding it back
Chronic Disease Burden
healthier than 31%
21%
Social Need / SDOH
in the bottom 0.00%
16%
Preventive Care
healthier than 31%
13%
Risk Behavior
in the bottom 0.00%
11%
Mental Health
in the bottom 0.00%
8%
Healthcare Access
in the bottom 0.00%
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
98903
Washingtonshares a border
Score 49.26
Closest healthier
98933
Washingtonshares a border
Score 45.45
Similar health profile
97818
Oregon97% similar profile
Score 38.79
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 | 22.1% | 20.1–24.1 |
| High blood pressure among adults | 32.7% | 29.9–35.4 |
| Cancer (non-skin) or melanoma among adults | 5.4% | 4.9–5.9 |
| Current asthma among adults | 12.8% | 11.5–14.2 |
| Coronary heart disease among adults | 6.3% | 5.7–7.0 |
| Chronic obstructive pulmonary disease among adults | 6.8% | 6.0–7.7 |
| Depression among adults | 23.4% | 20.7–26.1 |
| Diagnosed diabetes among adults | 14.0% | 12.5–15.6 |
| High cholesterol among adults who have ever been screened | 31.8% | 29.1–34.4 |
| Obesity among adults | 42.5% | 38.0–47.0 |
| Stroke among adults | 3.9% | 3.5–4.3 |
| All teeth lost among adults aged >=65 years | 20.9% | 17.6–24.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 16.1% | 13.4–18.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 67.5% | 64.7–70.2 |
| Visits to doctor for routine checkup within the past year among adults | 66.4% | 63.2–69.8 |
| Cholesterol screening among adults | 75.5% | 72.8–78.0 |
| Colorectal cancer screening among adults aged 45–75 years | 55.9% | 51.8–60.0 |
| Visited dentist or dental clinic in the past year among adults | 50.2% | 46.9–53.4 |
| Mammography use among women aged 50-74 years | 65.5% | 58.8–71.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.2% | 14.8–19.8 |
| Current cigarette smoking among adults | 18.3% | 16.0–21.0 |
| No leisure-time physical activity among adults | 27.2% | 24.0–30.8 |
| Short sleep duration among adults | 35.2% | 31.3–39.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 28.8% | 26.0–32.0 |
| Frequent mental distress among adults | 21.0% | 18.8–23.2 |
| Frequent physical distress among adults | 16.8% | 15.1–18.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 20.2% | 18.2–22.6 |
| Any disability among adults | 37.2% | 33.7–40.9 |
| Hearing disability among adults | 8.6% | 7.7–9.5 |
| Independent living disability among adults | 11.3% | 10.1–12.7 |
| Mobility disability among adults | 16.0% | 14.3–18.0 |
| Self-care disability among adults | 5.1% | 4.6–5.7 |
| Vision disability among adults | 8.4% | 7.6–9.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 41.3% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 30.4% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 28.5% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 14.8% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 11.8% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 6.7% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 84.5% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 13.5% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 64.9% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 30.2% | 1.3% (0.0–6.3%) n=32,322 | 2.6% (0.0–7.9%) n=580 |
| Foreign-born population | 12.8% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 48.9% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 15.2% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 31.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $50,417 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $102,300 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | $483 | $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 | 76.6 yr ± 1.24 | 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 1.24 years of 76.6, 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