ZIP code
99138
in Inchelium, WashingtonPopulation 1,223
35.93/ 100
Ranked #29,025 of 32,066 US ZIPs (bottom 9.5%)
Ranked #578 of 581 Washington ZIPs (bottom 0.6%)
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.
Mammography
60.2%
in the bottom 0.8% nationally
Higher is healthier
ST1stUS1stDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Grocery access
0.83 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 ›Fine-particle (PM2.5) exceedance
4.4%
in the top 1.3% 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 ›Unemployment rate
23.1%
in the top 1.5% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Outpatient-care access
0.83 per 1,000 residents
in the top 2.9% nationally
Higher is healthier
ST98thUS97thDefinition & source ›
The number of outpatient clinics 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 ›Floodplain exposure
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›Slow internet speeds
2.1%
in the top 5.5% nationally
Lower is healthier
ST94thUS95thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Distance to a nursing home
13.5 mi
in the top 6.5% nationally
Lower is healthier
ST82ndUS94thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Industrial-pollution burden
in the bottom 7.3% nationally
Lower is healthier
ST8thUS7thDefinition & 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 ›Transportation noise
0.07%
in the bottom 7.7% nationally
Lower is healthier
ST8thUS8thDefinition & 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 ›The read
By the composite health measure, Inchelium, Washington (ZIP 99138) ranks in the bottom 9.5% nationally (29,025th) and the bottom 0.6% of Washington (578th).
Several measures weigh most on this area's profile, and they come first: modeled mammography sits in the bottom 0.8% nationally, and fine-particle is in the top 1.3% nationally. Unemployment settles in the top 1.5% nationally, and slow internet speeds resides in the top 5.5% nationally. Distance to a nursing home registers in the top 6.5% nationally. On the better side, grocery rests in the top 0.6% nationally, outpatient stands in the top 2.9% nationally, and floodplain exposure lies at the national minimum. Modeled industrial-pollution burden lands in the bottom 7.3% nationally, and transportation noise sits in the bottom 7.7% nationally.
Read against the ZIPs closest to it, grocery runs far higher than the surrounding ZIPs on this measure. To spell things out, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". Close by, ZIP 99122, 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
Climate / Disaster Risk
healthier than 98%
5%
Holding it back
Chronic Disease Burden
healthier than 14%
21%
Social Need / SDOH
healthier than 18%
16%
Environmental Hazard
healthier than 15%
14%
Preventive Care
healthier than 7%
13%
Risk Behavior
healthier than 24%
11%
Mental Health
healthier than 13%
8%
Disability
healthier than 10%
7%
Healthcare Access
healthier than 33%
5%
Lifting this score
Climate / Disaster Risk
healthier than 87%
5%
Holding it back
Chronic Disease Burden
healthier than 4%
21%
Social Need / SDOH
in the bottom 1.0%
16%
Environmental Hazard
healthier than 18%
14%
Preventive Care
healthier than 11%
13%
Risk Behavior
in the bottom 0.8%
11%
Mental Health
healthier than 18%
8%
Disability
healthier than 1%
7%
Healthcare Access
healthier than 28%
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
99122
Washingtonshares a border
Score 51.47
Closest healthier
99129
Washingtonshares a border
Score 36.94
Similar health profile
97632
Oregon97% similar profile
Score 39.99
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 | 34.4% | 30.9–38.0 |
| High blood pressure among adults | 38.6% | 34.5–42.8 |
| Cancer (non-skin) or melanoma among adults | 8.7% | 7.9–9.6 |
| Current asthma among adults | 14.4% | 12.8–16.0 |
| Coronary heart disease among adults | 9.0% | 8.1–9.9 |
| Chronic obstructive pulmonary disease among adults | 9.0% | 8.0–10.1 |
| Depression among adults | 25.4% | 21.9–29.1 |
| Diagnosed diabetes among adults | 16.3% | 14.2–18.5 |
| High cholesterol among adults who have ever been screened | 37.3% | 33.1–41.4 |
| Obesity among adults | 42.9% | 35.4–50.4 |
| Stroke among adults | 5.2% | 4.8–5.7 |
| All teeth lost among adults aged >=65 years | 17.6% | 14.5–20.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.3% | 7.6–11.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 73.9% | 70.5–76.9 |
| Visits to doctor for routine checkup within the past year among adults | 71.1% | 66.9–74.9 |
| Cholesterol screening among adults | 82.3% | 80.2–84.4 |
| Colorectal cancer screening among adults aged 45–75 years | 62.2% | 57.1–67.0 |
| Visited dentist or dental clinic in the past year among adults | 50.1% | 46.4–53.8 |
| Mammography use among women aged 50-74 years | 60.2% | 51.1–68.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.7% | 12.0–17.6 |
| Current cigarette smoking among adults | 20.3% | 17.5–23.2 |
| No leisure-time physical activity among adults | 26.2% | 22.0–30.7 |
| Short sleep duration among adults | 39.9% | 33.7–46.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 27.5% | 24.2–30.8 |
| Frequent mental distress among adults | 20.4% | 18.2–22.6 |
| Frequent physical distress among adults | 19.3% | 17.2–21.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 19.1% | 16.9–21.3 |
| Any disability among adults | 41.6% | 37.0–46.2 |
| Hearing disability among adults | 11.1% | 10.0–12.4 |
| Independent living disability among adults | 11.7% | 10.4–13.0 |
| Mobility disability among adults | 20.2% | 17.7–22.7 |
| Self-care disability among adults | 5.7% | 5.1–6.3 |
| Vision disability among adults | 8.3% | 7.4–9.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 23.7% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 20.3% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 7.5% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 21.9% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 23.1% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 6.4% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 75.2% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 19.2% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 61.5% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 6.8% | 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 | 66.2% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 25.3% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 44.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $50,833 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $218,100 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | $535 | $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 | 80.0 yr ± 2.38 | 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 2.38 years of 80.0, 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