ZIP code
98588
in Tahuya, WashingtonPopulation 2,114
48.21/ 100
Ranked #18,666 of 32,066 US ZIPs (bottom 42%)
Ranked #450 of 581 Washington ZIPs (bottom 23%)
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.
PFAS in drinking water
6.2%
in the bottom 2.3% nationally
Lower is healthier
ST6thUS2ndDefinition & 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 ›Mammography
66.3%
in the bottom 4.4% nationally
Higher is healthier
ST8thUS4thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Unemployment rate
13.5%
in the top 4.8% nationally
Lower is healthier
ST96thUS95thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Humid extreme heat
9.1 days/year
in the bottom 6.2% nationally
Lower is healthier
ST41stUS6thDefinition & 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 ›Transportation noise
0.05%
in the bottom 7.0% nationally
Lower is healthier
ST8thUS7thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Radon
0.9 pCi/L
in the bottom 18% nationally
Lower is healthier
ST8thUS18thDefinition & 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
By the composite health measure, Tahuya, Washington (ZIP 98588) ranks in the bottom 42% nationally (18,666th) and the bottom 23% of Washington (450th).
The signals balance out across the profile, strengths against concerns: modeled pfas is in the bottom 2.3% nationally, and humid heat settles in the bottom 6.2% nationally. Modeled transportation noise resides in the bottom 7.0% nationally. Modeled loud transportation noise registers at the national minimum, shared with about 22% of ZIPs. Modeled tree cover rests in the top 12.1% nationally, and homeownership stands in the top 15% nationally. Set against that, modeled mammography lies in the bottom 4.4% nationally, unemployment lands in the top 4.8% nationally, and modeled disaster risk sits in the top 12.3% nationally. Distance to a nursing home is in the top 13.8% nationally.
Read against the ZIPs closest to it, park land runs far lower than the surrounding ZIPs on this measure. To spell things out, 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. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. Close by, ZIP 98380, just across the boundary, ranks healthier overall.
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
Environmental Hazard
healthier than 99%
14%
Risk Behavior
healthier than 68%
11%
Climate / Disaster Risk
healthier than 69%
5%
About typical
Social Need / SDOH
healthier than 50%
16%
Holding it back
Chronic Disease Burden
healthier than 32%
21%
Preventive Care
healthier than 21%
13%
Mental Health
healthier than 23%
8%
Disability
healthier than 37%
7%
Healthcare Access
healthier than 30%
5%
Lifting this score
Environmental Hazard
healthier than 94%
14%
Holding it back
Chronic Disease Burden
healthier than 11%
21%
Social Need / SDOH
healthier than 13%
16%
Preventive Care
healthier than 38%
13%
Risk Behavior
healthier than 18%
11%
Mental Health
healthier than 33%
8%
Disability
healthier than 17%
7%
Climate / Disaster Risk
healthier than 31%
5%
Healthcare Access
healthier than 26%
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 ›
Findings that name this ZIP
One of our published findings lists 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.
Clean environment, heavy chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 98.9 (top 10%); chronic-disease standing 31.8 — 67 points apart, cleaner on the environment than it is on chronic illness.
Ranked #1,252 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
98380
Washingtonshares a border
Score 58.95
Closest healthier
98528
Washingtonshares a border
Score 53.78
Similar health profile
98570
Washington95% similar profile
Score 47.48
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% | 31.7–37.9 |
| High blood pressure among adults | 39.1% | 35.6–42.7 |
| Cancer (non-skin) or melanoma among adults | 10.4% | 9.4–11.6 |
| Current asthma among adults | 11.6% | 10.3–12.9 |
| Coronary heart disease among adults | 8.3% | 7.4–9.3 |
| Chronic obstructive pulmonary disease among adults | 8.5% | 7.3–9.8 |
| Depression among adults | 26.3% | 23.2–29.7 |
| Diagnosed diabetes among adults | 13.2% | 11.5–14.9 |
| High cholesterol among adults who have ever been screened | 40.4% | 36.8–44.2 |
| Obesity among adults | 37.4% | 32.3–43.0 |
| Stroke among adults | 4.4% | 3.9–4.9 |
| All teeth lost among adults aged >=65 years | 9.3% | 7.5–11.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.8% | 6.4–9.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.0% | 72.8–79.0 |
| Visits to doctor for routine checkup within the past year among adults | 72.7% | 69.1–76.2 |
| Cholesterol screening among adults | 84.8% | 82.9–86.6 |
| Colorectal cancer screening among adults aged 45–75 years | 68.0% | 63.4–72.4 |
| Visited dentist or dental clinic in the past year among adults | 60.5% | 57.0–63.9 |
| Mammography use among women aged 50-74 years | 66.3% | 58.4–73.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.9% | 13.4–18.8 |
| Current cigarette smoking among adults | 15.1% | 12.8–17.6 |
| No leisure-time physical activity among adults | 22.4% | 18.8–26.2 |
| Short sleep duration among adults | 33.9% | 29.0–39.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 22.2% | 19.2–25.2 |
| Frequent mental distress among adults | 17.8% | 15.8–19.8 |
| Frequent physical distress among adults | 17.0% | 15.0–19.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.6% | 13.8–17.5 |
| Any disability among adults | 35.1% | 31.2–39.4 |
| Hearing disability among adults | 9.4% | 8.4–10.5 |
| Independent living disability among adults | 8.9% | 7.7–10.0 |
| Mobility disability among adults | 16.6% | 14.4–18.9 |
| Self-care disability among adults | 4.6% | 4.0–5.2 |
| Vision disability among adults | 5.3% | 4.7–6.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 18.1% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 2.7% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 5.9% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 8.7% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 13.5% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 6.1% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 88.8% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 36.3% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 91.2% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 4.2% | 1.3% (0.0–6.3%) n=32,322 | 2.6% (0.0–7.9%) n=580 |
| Foreign-born population | 1.6% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 58.7% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 26.6% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 52.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $61,975 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $336,300 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | — | $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 | 76.2 yr ± 1.88 | 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 1.88 years of 76.2, 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