ZIP code
99139
in Ione, WashingtonPopulation 1,091
51.50/ 100
Ranked #14,106 of 32,066 US ZIPs (top 44%)
Ranked #359 of 581 Washington ZIPs (bottom 38%)
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.
Grocery access
0.85 per 1,000 residents
in the top 0.6% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Park land
61.1%
in the top 1.6% nationally
Higher is healthier
ST96thUS98thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Tree cover
87.4%
in the top 2.1% nationally
Higher is healthier
ST98thUS98thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Fine-particle (PM2.5) exceedance
1.9%
in the top 4.8% nationally
Lower is healthier
ST73rdUS95thDefinition & 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 ›Distance to a hazardous-chemical facility
19.6 mi
in the top 5.0% nationally
Higher is healthier
ST94thUS95thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest facility that handles enough hazardous chemicals to require an EPA risk-management plan for accidental releases.
Full methodology ›Industrial-pollution burden
in the bottom 5.5% nationally
Lower is healthier
ST6thUS5thDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›Civic-institution access
0.85 per 1,000 residents
in the top 5.6% nationally
Higher is healthier
ST94thUS94thDefinition & source ›
The number of civic and social organizations 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 ›Distance to a nursing home
14.4 mi
in the top 5.8% nationally
Lower is healthier
ST84thUS94thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Walkability
1.8 intersections/sq mi
in the bottom 6.5% 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 ›Radon
2.7 pCi/L
in the top 17% nationally
Lower is healthier
ST99thUS83rdDefinition & 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
Ione, Washington (ZIP 99139), in overall standing, comes out in the top 44% healthiest ZIPs nationally (14,106th) and the bottom 38% of Washington (359th), based on limited data; treat as directional.
A few readings each way define this mixed profile: grocery is in the top 0.6% nationally, park land lies in the top 1.6% nationally, and modeled tree cover registers in the top 2.1% nationally. Distance to a hazardous-chemical facility is in the top 5.0% nationally, modeled industrial-pollution burden lies in the bottom 5.5% nationally, and civic registers in the top 5.6% nationally. Modeled extreme heat is at the national minimum, shared with about 19% of ZIPs. Pulling the other way, modeled fine-particle lies in the top 4.8% nationally, and distance to a nursing home registers in the top 5.8% nationally. Walkability is in the bottom 6.5% nationally.
Set within its surrounding area, grocery runs far higher than the surrounding ZIPs on this measure. Defined simply, for reference, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Distance to a hazardous-chemical facility is a plant handling large amounts of hazardous chemicals that must file an EPA risk-management plan for accidental releases. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. The closest healthier ZIP overall is ZIP 99152, 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 65%
16%
Risk Behavior
healthier than 87%
11%
Climate / Disaster RiskPartial
healthier than 99%
5%
About typical
Preventive Care
healthier than 42%
13%
Mental Health
healthier than 47%
8%
Disability
healthier than 49%
7%
Holding it back
Chronic Disease Burden
healthier than 32%
21%
Environmental Hazard
healthier than 27%
14%
Healthcare Access
healthier than 31%
5%
Lifting this score
Preventive Care
healthier than 69%
13%
Mental Health
healthier than 70%
8%
Climate / Disaster RiskPartial
healthier than 94%
5%
About typical
Risk Behavior
healthier than 60%
11%
Holding it back
Chronic Disease Burden
healthier than 11%
21%
Social Need / SDOH
healthier than 23%
16%
Environmental Hazard
healthier than 28%
14%
Disability
healthier than 25%
7%
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 ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
99114
Washingtonshares a border
Score 47.20
Closest healthier
99152
Washingtonshares a border
Score 52.35
Similar health profile
98856
Washington93% similar profile
Score 54.78
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 | 34.2% | 30.7–37.9 |
| High blood pressure among adults | 37.4% | 33.4–41.5 |
| Cancer (non-skin) or melanoma among adults | 11.9% | 10.8–13.1 |
| Current asthma among adults | 11.5% | 10.1–12.9 |
| Coronary heart disease among adults | 8.2% | 7.3–9.3 |
| Chronic obstructive pulmonary disease among adults | 8.0% | 6.8–9.2 |
| Depression among adults | 24.3% | 21.0–27.9 |
| Diagnosed diabetes among adults | 12.3% | 10.6–14.1 |
| High cholesterol among adults who have ever been screened | 39.6% | 35.4–43.8 |
| Obesity among adults | 37.5% | 31.0–44.2 |
| Stroke among adults | 4.3% | 3.8–4.8 |
| All teeth lost among adults aged >=65 years | 12.9% | 10.6–15.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.2% | 5.8–9.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.3% | 73.0–79.5 |
| Visits to doctor for routine checkup within the past year among adults | 73.5% | 69.9–77.1 |
| Cholesterol screening among adults | 86.8% | 84.9–88.5 |
| Colorectal cancer screening among adults aged 45–75 years | 70.2% | 65.7–74.3 |
| Visited dentist or dental clinic in the past year among adults | 63.1% | 59.7–66.4 |
| Mammography use among women aged 50-74 years | 72.4% | 65.3–78.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.7% | 12.2–17.5 |
| Current cigarette smoking among adults | 12.5% | 10.3–14.7 |
| No leisure-time physical activity among adults | 21.3% | 17.5–25.1 |
| Short sleep duration among adults | 31.3% | 26.4–36.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 19.4% | 16.5–22.3 |
| Frequent mental distress among adults | 16.2% | 14.2–18.1 |
| Frequent physical distress among adults | 15.7% | 13.7–17.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.1% | 12.2–15.9 |
| Any disability among adults | 33.2% | 28.8–37.3 |
| Hearing disability among adults | 9.3% | 8.3–10.4 |
| Independent living disability among adults | 8.1% | 7.0–9.2 |
| Mobility disability among adults | 15.7% | 13.3–18.1 |
| Self-care disability among adults | 4.0% | 3.5–4.6 |
| Vision disability among adults | 4.7% | 4.1–5.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.9% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 16.0% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 9.5% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 20.7% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 8.2% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 2.2% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 90.3% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 24.8% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 86.2% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 3.7% | 1.3% (0.0–6.3%) n=32,322 | 2.6% (0.0–7.9%) n=580 |
| Foreign-born population | 2.4% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 56.7% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 33.8% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 56.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $52,404 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $274,100 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | $785 | $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 | 85.3 yr ± 3.93 | 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 3.93 years of 85.3, 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