ZIP code
98840
in Okanogan, WashingtonPopulation 4,892
42.53/ 100
Ranked #24,790 of 32,066 US ZIPs (bottom 23%)
Ranked #552 of 581 Washington ZIPs (bottom 5.0%)
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.
Arsenic in groundwater
41.2%
in the top 1.5% nationally
Lower is healthier
ST99thUS99thDefinition & 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 ›Fine-particle (PM2.5) exceedance
3.9%
in the top 1.5% nationally
Lower is healthier
ST98thUS99thDefinition & 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 ›Mammography
66.7%
in the bottom 5.0% nationally
Higher is healthier
ST10thUS5thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Walkability
1.8 intersections/sq mi
in the bottom 6.2% nationally
Higher is healthier
ST12thUS6thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Elder-services access
0.21 per 1,000 residents
in the top 6.7% nationally
Higher is healthier
ST95thUS93rdDefinition & source ›
The number of services for older adults and people with disabilities 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 ›Air-toxics cancer risk
19.7 per million
in the bottom 7.6% nationally
Lower is healthier
ST12thUS8thDefinition & source ›
The EPA’s modeled estimate of added lifetime cancer risk from breathing outdoor air toxics, in cases per million people exposed over a lifetime.
Full methodology ›Distance to a Superfund site
48.8 mi
in the top 12.9% nationally
Higher is healthier
ST93rdUS87thDefinition & 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 ›Tooth loss
18%
in the top 25% nationally
Lower is healthier
ST94thUS75thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›The read
Okanogan, Washington (ZIP 98840), overall, ranks in the bottom 23% nationally (24,790th) and the bottom 5.0% of Washington (552nd), based on limited data; treat as directional.
Reading across the data, the real pressures come first: modeled arsenic sits in the top 1.5% nationally, fine-particle lands in the top 1.5% nationally, and mammography lies in the bottom 5.0% nationally. Walkability stands in the bottom 6.2% nationally, and modeled disaster risk rests in the top 13.2% nationally. More encouragingly, elder services registers in the top 6.7% nationally, and modeled air-toxics cancer risk resides in the bottom 7.6% nationally. Distance to a community health center settles at the national minimum, shared with about 23% of ZIPs. Distance to an emergency room is in the bottom 11.6% nationally, and distance to a Superfund site sits in the top 12.9% nationally.
Measured against the nearby ZIPs, park land runs far lower than the surrounding ZIPs on this measure. Defined simply, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. ZIP 98812, just across the boundary, comes out 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
Climate / Disaster RiskPartial
healthier than 80%
5%
Healthcare Access
healthier than 77%
5%
About typical
Risk Behavior
healthier than 56%
11%
Holding it back
Chronic Disease Burden
healthier than 34%
21%
Social Need / SDOH
healthier than 25%
16%
Environmental Hazard
healthier than 8%
14%
Preventive Care
healthier than 10%
13%
Mental Health
healthier than 22%
8%
Disability
healthier than 23%
7%
Lifting this score
Healthcare Access
healthier than 63%
5%
About typical
Climate / Disaster RiskPartial
healthier than 44%
5%
Holding it back
Chronic Disease Burden
healthier than 13%
21%
Social Need / SDOH
healthier than 2%
16%
Environmental Hazard
healthier than 9%
14%
Preventive Care
healthier than 17%
13%
Risk Behavior
healthier than 10%
11%
Mental Health
healthier than 32%
8%
Disability
healthier than 6%
7%
“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
98812
Washingtonshares a border
Score 44.45
Closest healthier
98813
Washingtonshares a border
Score 45.80
Similar health profile
59864
Montana94% similar profile
Score 39.33
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 | 31.7% | 28.6–34.8 |
| High blood pressure among adults | 37.2% | 33.7–40.9 |
| Cancer (non-skin) or melanoma among adults | 9.5% | 8.7–10.4 |
| Current asthma among adults | 12.0% | 10.7–13.4 |
| Coronary heart disease among adults | 8.6% | 7.7–9.4 |
| Chronic obstructive pulmonary disease among adults | 9.0% | 8.0–10.1 |
| Depression among adults | 25.8% | 22.5–29.3 |
| Diagnosed diabetes among adults | 13.0% | 11.4–14.8 |
| High cholesterol among adults who have ever been screened | 36.5% | 32.9–40.2 |
| Obesity among adults | 32.9% | 27.6–38.7 |
| Stroke among adults | 4.6% | 4.2–5.0 |
| All teeth lost among adults aged >=65 years | 18.0% | 15.0–21.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 11.3% | 9.6–13.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 74.0% | 70.9–76.8 |
| Visits to doctor for routine checkup within the past year among adults | 72.1% | 68.5–75.6 |
| Cholesterol screening among adults | 81.9% | 80.0–83.8 |
| Colorectal cancer screening among adults aged 45–75 years | 64.6% | 59.9–69.0 |
| Visited dentist or dental clinic in the past year among adults | 55.4% | 51.8–59.0 |
| Mammography use among women aged 50-74 years | 66.7% | 58.8–73.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.3% | 12.7–18.0 |
| Current cigarette smoking among adults | 16.5% | 14.2–19.0 |
| No leisure-time physical activity among adults | 24.9% | 21.2–28.9 |
| Short sleep duration among adults | 35.3% | 30.2–40.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 23.2% | 20.5–26.1 |
| Frequent mental distress among adults | 18.3% | 16.3–20.4 |
| Frequent physical distress among adults | 16.9% | 15.0–18.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.6% | 15.7–19.6 |
| Any disability among adults | 36.8% | 32.8–40.9 |
| Hearing disability among adults | 9.8% | 8.8–10.8 |
| Independent living disability among adults | 10.2% | 9.1–11.4 |
| Mobility disability among adults | 17.2% | 15.2–19.4 |
| Self-care disability among adults | 5.2% | 4.7–5.7 |
| Vision disability among adults | 6.6% | 6.0–7.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 12.9% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 22.1% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 10.7% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 20.4% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 4.1% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 1.5% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 88.6% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 19.0% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 68.5% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 1.3% | 1.3% (0.0–6.3%) n=32,322 | 2.6% (0.0–7.9%) n=580 |
| Foreign-born population | 9.1% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 50.5% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 26.0% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 44.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $57,342 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $261,600 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | $981 | $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 | 78.4 yr ± 1.28 | 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 1.28 years of 78.4, 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