ZIP code
98908
in Yakima, WashingtonPopulation 38,060
56.00/ 100
Ranked #8,277 of 32,066 US ZIPs (top 26%)
Ranked #201 of 581 Washington ZIPs (top 35%)
Ranked #2 of 21 Yakima, WA ZIPs (top 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.
Fine-particle (PM2.5) exceedance
4.9%
in the top 1.2% nationally
Lower is healthier
ST99thUS99thDefinition & 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 ›Short sleep
27.4%
in the bottom 2.1% nationally
Lower is healthier
ST8thUS2ndDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Natural-disaster risk
in the top 6.7% nationally
Lower is healthier
ST76thUS93rdDefinition & 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 ›Transit access
3.6 per 1,000 residents
in the top 8.4% nationally
Higher is healthier
ST84thUS92ndDefinition & 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 ›Arsenic in groundwater
16%
in the top 9.2% nationally
Lower is healthier
ST84thUS91stDefinition & 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 ›Expected annual disaster loss
$0
in the top 9.3% nationally
Lower is healthier
ST74thUS91stDefinition & 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 ›Humid extreme heat
25 days/year
in the bottom 22% nationally
Lower is healthier
ST92ndUS22ndDefinition & 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 ›Lithium in drinking water
31 µg/L
in the top 30% nationally
Lower is healthier
ST99thUS70thDefinition & source ›
The average detected level of lithium — a natural trace metal with no federal drinking-water limit yet — across the public water systems serving this ZIP, in micrograms per liter.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›The read
In its overall standing, ZIP 98908, one of several in Yakima, Washington lands in the top 26% healthiest ZIPs nationally (8,277th) and the top 35% of Washington (201st).
Taken together, the data gives a genuinely mixed reading: modeled short sleep stands in the bottom 2.1% nationally, transit rests in the top 8.4% nationally, and dental providers registers in the top 11.3% nationally. Distance to a community health center resides at the national minimum, shared with about 23% of ZIPs. Subsidized affordable housing settles in the top 11.9% nationally, and modeled industrial-pollution burden is in the bottom 13.1% nationally. On the other side, modeled fine-particle sits in the top 1.2% nationally, and disaster risk lands in the top 6.7% nationally. Modeled arsenic lies in the top 9.2% nationally, and expected annual loss stands in the top 9.3% nationally.
Against the wider neighborhood, park land runs far lower 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. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. On the overall standing, ZIP 98921, about 15 miles away, 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
Chronic Disease Burden
healthier than 65%
21%
Social Need / SDOH
healthier than 73%
16%
Risk Behavior
healthier than 94%
11%
Mental Health
healthier than 62%
8%
Disability
healthier than 61%
7%
Climate / Disaster Risk
healthier than 76%
5%
Healthcare Access
healthier than 91%
5%
Holding it back
Environmental Hazard
healthier than 13%
14%
Preventive Care
healthier than 34%
13%
Lifting this score
Risk Behavior
healthier than 75%
11%
Mental Health
healthier than 84%
8%
Healthcare Access
healthier than 89%
5%
About typical
Preventive Care
healthier than 59%
13%
Holding it back
Chronic Disease Burden
healthier than 38%
21%
Social Need / SDOH
healthier than 35%
16%
Environmental Hazard
healthier than 16%
14%
Disability
healthier than 39%
7%
Climate / Disaster Risk
healthier than 38%
5%
Lifting this score
Chronic Disease Burden
healthier than 69%
21%
Social Need / SDOH
healthier than 88%
16%
Preventive Care
in the top 0.00%
13%
Risk Behavior
in the top 0.00%
11%
Mental Health
healthier than 94%
8%
Disability
in the top 0.00%
7%
Healthcare Access
healthier than 88%
5%
About typical
Environmental Hazard
healthier than 44%
14%
Climate / Disaster Risk
healthier than 50%
5%
Nothing measured is holding this score back.
“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
2 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.
Above what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 81.0 ± 0.9 years. A median household income of $84,197 predicts 79.4 years — 1.6 years above.
Ranked #1,202 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 13.5; chronic-disease standing 64.8 — 51 points apart, heavier on the environment than it is on chronic illness.
Ranked #14,519 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
98902
Washingtonshares a border
Score 45.01
Closest healthier
98921
Washingtonabout 15 mi away
Score 56.67
Similar health profile
80538
Colorado94% similar profile
Score 59.18
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 | 26.9% | 24.6–29.3 |
| High blood pressure among adults | 34.3% | 31.6–37.2 |
| Cancer (non-skin) or melanoma among adults | 9.7% | 8.8–10.5 |
| Current asthma among adults | 10.7% | 9.7–11.9 |
| Coronary heart disease among adults | 6.6% | 6.0–7.3 |
| Chronic obstructive pulmonary disease among adults | 6.2% | 5.6–7.0 |
| Depression among adults | 22.8% | 20.4–25.5 |
| Diagnosed diabetes among adults | 11.3% | 10.1–12.7 |
| High cholesterol among adults who have ever been screened | 36.7% | 33.9–39.7 |
| Obesity among adults | 35.6% | 31.6–39.8 |
| Stroke among adults | 3.6% | 3.3–3.9 |
| All teeth lost among adults aged >=65 years | 10.6% | 8.7–12.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.0% | 8.8–11.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.7% | 73.0–78.2 |
| Visits to doctor for routine checkup within the past year among adults | 72.7% | 69.7–75.4 |
| Cholesterol screening among adults | 84.9% | 83.3–86.3 |
| Colorectal cancer screening among adults aged 45–75 years | 67.3% | 63.6–70.9 |
| Visited dentist or dental clinic in the past year among adults | 67.5% | 64.7–70.2 |
| Mammography use among women aged 50-74 years | 74.7% | 69.0–79.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.6% | 13.4–17.8 |
| Current cigarette smoking among adults | 10.3% | 9.0–11.7 |
| No leisure-time physical activity among adults | 21.1% | 18.6–23.9 |
| Short sleep duration among adults | 27.4% | 24.1–30.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 19.5% | 17.6–21.6 |
| Frequent mental distress among adults | 15.7% | 14.2–17.4 |
| Frequent physical distress among adults | 13.4% | 12.1–14.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.7% | 12.4–15.2 |
| Any disability among adults | 29.3% | 26.6–32.2 |
| Hearing disability among adults | 8.1% | 7.3–8.9 |
| Independent living disability among adults | 7.8% | 7.0–8.7 |
| Mobility disability among adults | 13.4% | 12.0–15.0 |
| Self-care disability among adults | 3.7% | 3.4–4.1 |
| Vision disability among adults | 4.8% | 4.4–5.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 10.1% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 11.5% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 9.4% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 33.1% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 5.3% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 3.8% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 93.0% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 29.2% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 68.9% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 2.5% | 1.3% (0.0–6.3%) n=32,322 | 2.6% (0.0–7.9%) n=580 |
| Foreign-born population | 7.6% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 49.2% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 20.6% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 39.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $84,197 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $383,900 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | $1,367 | $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 | 81.0 yr ± 0.46 | 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 0.46 years of 81.0, 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