ZIP code
99126
in Evans, WashingtonPopulation 899
43.13/ 100
Ranked #24,261 of 32,066 US ZIPs (bottom 24%)
Ranked #545 of 581 Washington ZIPs (bottom 6.2%)
Ranked #49 of 57 Spokane-Spokane Valley, WA ZIPs (bottom 14.1%)
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.
Mammography
63.2%
in the bottom 1.7% nationally
Higher is healthier
ST2ndUS2ndDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Fine-particle (PM2.5) exceedance
2.3%
in the top 3.6% nationally
Lower is healthier
ST88thUS96thDefinition & 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 Superfund site
0.1 mi
in the bottom 4.1% nationally
Higher is healthier
ST8thUS4thDefinition & 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 ›Distance to a hazardous-chemical facility
21.1 mi
in the top 4.4% nationally
Higher is healthier
ST95thUS96thDefinition & 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 ›Dental provider access
1.1 per 1,000 residents
in the top 5.4% nationally
Higher is healthier
ST94thUS95thDefinition & source ›
The number of dental offices 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 ›Humid extreme heat
9.8 days/year
in the bottom 6.9% nationally
Lower is healthier
ST47thUS7thDefinition & 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 ›Industrial-pollution burden
in the bottom 9.2% nationally
Lower is healthier
ST14thUS9thDefinition & 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 ›Coronary heart disease
10.0%
in the top 9.7% nationally
Lower is healthier
ST95thUS90thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Hearing disability
10.7%
in the top 11.8% nationally
Lower is healthier
ST91stUS88thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Tooth loss
21.9%
in the top 12.6% nationally
Lower is healthier
ST99thUS87thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›The read
Evans, Washington (ZIP 99126), by its composite score, sits in the bottom 24% nationally (24,261st) and the bottom 6.2% of Washington (545th), based on limited data; treat as directional.
The measures fall on both sides for this area, fairly evenly: distance to a hazardous-chemical facility resides in the top 4.4% nationally, and dental providers is in the top 5.4% nationally. Modeled humid heat lands in the bottom 6.9% nationally. Unemployment stands at the national minimum, shared with about 15% of ZIPs. Households without a vehicle registers at the national minimum, shared with about 16% of ZIPs. Modeled industrial-pollution burden settles in the bottom 9.2% nationally. Pulling the other way, modeled mammography sits in the bottom 1.7% nationally, modeled fine-particle lies in the top 3.6% nationally, and distance to a Superfund site rests in the bottom 4.1% nationally. Fiber broadband resides at the national minimum, shared with about 19% of ZIPs.
Next to the surrounding area, park land runs far lower than the surrounding ZIPs on this measure. For anyone unfamiliar, 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 Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. 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. For a healthier comparison close by, see ZIP 99114, 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. Compare it against the US, this state and the Spokane-Spokane Valley, WA metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Risk Behavior
healthier than 74%
11%
Climate / Disaster RiskPartial
in the top 0.2%
5%
About typical
Social Need / SDOH
healthier than 48%
16%
Holding it back
Chronic Disease Burden
healthier than 11%
21%
Environmental Hazard
healthier than 31%
14%
Preventive Care
healthier than 16%
13%
Mental Health
healthier than 39%
8%
Disability
healthier than 20%
7%
Healthcare Access
healthier than 23%
5%
Lifting this score
Climate / Disaster RiskPartial
in the top 0.5%
5%
About typical
Mental Health
healthier than 57%
8%
Holding it back
Chronic Disease Burden
healthier than 3%
21%
Social Need / SDOH
healthier than 12%
16%
Environmental Hazard
healthier than 32%
14%
Preventive Care
healthier than 27%
13%
Risk Behavior
healthier than 28%
11%
Disability
healthier than 5%
7%
Healthcare Access
healthier than 20%
5%
Lifting this score
Environmental Hazard
healthier than 89%
14%
Mental Health
healthier than 77%
8%
Climate / Disaster RiskPartial
in the top 0.00%
5%
Holding it back
Chronic Disease Burden
in the bottom 0.00%
21%
Social Need / SDOH
healthier than 8%
16%
Preventive Care
healthier than 20%
13%
Risk Behavior
healthier than 24%
11%
Disability
in the bottom 0.00%
7%
Healthcare Access
healthier than 7%
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
99141
Washingtonshares a border
Score 46.56
Similar health profile
98830
Washington94% similar profile
Score 40.91
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 | 38.3% | 35.3–41.5 |
| High blood pressure among adults | 41.2% | 37.8–44.7 |
| Cancer (non-skin) or melanoma among adults | 11.8% | 10.7–13.0 |
| Current asthma among adults | 12.5% | 11.2–14.0 |
| Coronary heart disease among adults | 10.0% | 8.9–11.4 |
| Chronic obstructive pulmonary disease among adults | 10.6% | 8.9–12.3 |
| Depression among adults | 25.1% | 22.2–28.2 |
| Diagnosed diabetes among adults | 14.6% | 12.6–16.6 |
| High cholesterol among adults who have ever been screened | 40.4% | 37.0–43.9 |
| Obesity among adults | 36.3% | 31.7–41.2 |
| Stroke among adults | 5.1% | 4.5–5.8 |
| All teeth lost among adults aged >=65 years | 21.9% | 18.6–25.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.2% | 6.4–10.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.6% | 73.7–79.4 |
| Visits to doctor for routine checkup within the past year among adults | 73.9% | 70.7–76.8 |
| Cholesterol screening among adults | 84.6% | 82.7–86.4 |
| Colorectal cancer screening among adults aged 45–75 years | 65.0% | 61.1–68.8 |
| Visited dentist or dental clinic in the past year among adults | 58.9% | 55.6–62.1 |
| Mammography use among women aged 50-74 years | 63.2% | 56.2–69.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.2% | 12.1–16.6 |
| Current cigarette smoking among adults | 16.3% | 13.5–19.2 |
| No leisure-time physical activity among adults | 23.9% | 20.0–27.7 |
| Short sleep duration among adults | 32.5% | 28.5–36.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 23.4% | 20.0–26.9 |
| Frequent mental distress among adults | 16.6% | 14.7–18.6 |
| Frequent physical distress among adults | 17.9% | 15.6–20.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.3% | 14.1–18.5 |
| Any disability among adults | 37.9% | 33.5–42.3 |
| Hearing disability among adults | 10.7% | 9.5–12.0 |
| Independent living disability among adults | 10.4% | 8.9–11.9 |
| Mobility disability among adults | 19.8% | 16.9–22.6 |
| Self-care disability among adults | 5.5% | 4.7–6.4 |
| Vision disability among adults | 6.4% | 5.5–7.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 7.2% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 0.0% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 10.5% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 11.8% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 96.2% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 30.7% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 90.6% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 2.6% (0.0–7.9%) n=580 |
| Foreign-born population | 1.8% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 72.1% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 30.9% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 58.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | — | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $366,000 | $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 | 80.9 yr ± 1.35 | 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 1.35 years of 80.9, 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