ZIP code
99181
in Valley, WashingtonPopulation 1,995
42.28/ 100
Ranked #24,987 of 32,066 US ZIPs (bottom 22%)
Ranked #554 of 581 Washington ZIPs (bottom 4.7%)
Ranked #54 of 57 Spokane-Spokane Valley, WA ZIPs (bottom 5.3%)
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
62%
in the bottom 1.2% 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 ›Fine-particle (PM2.5) exceedance
2.7%
in the top 2.6% nationally
Lower is healthier
ST93rdUS97thDefinition & 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 nursing home
22.7 mi
in the top 2.7% nationally
Lower is healthier
ST93rdUS97thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Fatal road crashes
50.1 per 100,000 residents per year
in the top 3.9% nationally
Lower is healthier
ST98thUS96thDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
Full methodology ›Industrial-pollution burden
in the bottom 7.7% nationally
Lower is healthier
ST9thUS8thDefinition & 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 ›Tooth loss
24%
in the top 8.8% nationally
Lower is healthier
ST99thUS91stDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Home broadband subscription
75.2%
in the bottom 10.2% nationally
Higher is healthier
ST5thUS10thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Hearing disability
10.8%
in the top 10.9% nationally
Lower is healthier
ST92ndUS89thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Coronary heart disease
9.9%
in the top 10.5% 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 ›Stroke
5.0%
in the top 14.5% nationally
Lower is healthier
ST93rdUS86thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›The read
On balance, and by the composite measure, Valley, Washington (ZIP 99181) ranks in the bottom 22% nationally (24,987th) and the bottom 4.7% of Washington (554th), based on limited data; treat as directional.
The measures split the difference for this area: modeled industrial-pollution burden lands in the bottom 7.7% nationally, and humid heat registers in the bottom 11.1% nationally. Against that, modeled mammography sits in the bottom 1.2% nationally, and fine-particle rests in the top 2.6% nationally. Distance to a nursing home is in the top 2.7% nationally, fatal road crashes stands in the top 3.9% nationally, and modeled tooth loss settles in the top 8.8% nationally. Fiber broadband lies at the national minimum, shared with about 19% of ZIPs. Home broadband subscription resides in the bottom 10.2% nationally, and modeled hearing disability lands in the top 10.9% nationally.
In plainer terms, 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. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. For a healthier nearby ZIP overall, look to ZIP 99109, 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 76%
11%
Climate / Disaster RiskPartial
healthier than 98%
5%
About typical
Mental Health
healthier than 41%
8%
Holding it back
Chronic Disease Burden
healthier than 13%
21%
Social Need / SDOH
healthier than 31%
16%
Environmental Hazard
healthier than 21%
14%
Preventive Care
healthier than 12%
13%
Disability
healthier than 21%
7%
Healthcare Access
healthier than 20%
5%
Lifting this score
Mental Health
healthier than 62%
8%
Climate / Disaster RiskPartial
healthier than 88%
5%
Holding it back
Chronic Disease Burden
healthier than 3%
21%
Social Need / SDOH
healthier than 4%
16%
Environmental Hazard
healthier than 24%
14%
Preventive Care
healthier than 19%
13%
Risk Behavior
healthier than 30%
11%
Disability
healthier than 5%
7%
Healthcare Access
healthier than 17%
5%
Lifting this score
Environmental Hazard
healthier than 80%
14%
Mental Health
healthier than 84%
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
in the bottom 0.00%
16%
Preventive Care
healthier than 17%
13%
Risk Behavior
healthier than 25%
11%
Disability
in the bottom 0.00%
7%
Healthcare Access
healthier than 6%
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
99109
Washingtonshares a border
Score 48.80
Closest healthier
99148
Washingtonshares a border
Score 49.97
Similar health profile
99126
Washington99% similar profile
Score 43.13
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 | 37.3% | 34.2–40.5 |
| High blood pressure among adults | 40.3% | 36.9–43.7 |
| Cancer (non-skin) or melanoma among adults | 11.7% | 10.5–12.9 |
| Current asthma among adults | 12.3% | 11.0–13.8 |
| Coronary heart disease among adults | 9.9% | 8.7–11.3 |
| Chronic obstructive pulmonary disease among adults | 10.2% | 8.6–12.0 |
| Depression among adults | 24.9% | 22.1–28.1 |
| Diagnosed diabetes among adults | 14.2% | 12.3–16.3 |
| High cholesterol among adults who have ever been screened | 39.7% | 36.4–43.2 |
| Obesity among adults | 35.7% | 31.2–40.6 |
| Stroke among adults | 5.0% | 4.4–5.7 |
| All teeth lost among adults aged >=65 years | 24.0% | 20.5–27.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.8% | 7.0–10.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.7% | 73.7–79.5 |
| Visits to doctor for routine checkup within the past year among adults | 73.7% | 70.5–76.8 |
| Cholesterol screening among adults | 84.1% | 82.0–86.0 |
| Colorectal cancer screening among adults aged 45–75 years | 63.1% | 59.2–66.9 |
| Visited dentist or dental clinic in the past year among adults | 55.7% | 52.3–59.0 |
| Mammography use among women aged 50-74 years | 62.0% | 55.1–68.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.1% | 12.0–16.6 |
| Current cigarette smoking among adults | 15.5% | 12.9–18.4 |
| No leisure-time physical activity among adults | 24.0% | 20.1–28.0 |
| Short sleep duration among adults | 32.7% | 28.7–36.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 23.1% | 19.7–26.7 |
| Frequent mental distress among adults | 16.5% | 14.6–18.5 |
| Frequent physical distress among adults | 17.4% | 15.2–19.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.2% | 14.2–18.6 |
| Any disability among adults | 37.7% | 33.3–42.1 |
| Hearing disability among adults | 10.8% | 9.5–12.2 |
| Independent living disability among adults | 10.3% | 8.9–11.9 |
| Mobility disability among adults | 19.4% | 16.5–22.4 |
| Self-care disability among adults | 5.3% | 4.6–6.2 |
| Vision disability among adults | 6.4% | 5.5–7.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 11.4% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 4.0% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 6.4% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 18.8% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 5.1% | 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 | 75.2% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 18.4% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 91.5% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 4.1% | 1.3% (0.0–6.3%) n=32,322 | 2.6% (0.0–7.9%) n=580 |
| Foreign-born population | 1.2% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 79.1% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 44.4% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 62.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $63,661 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $267,600 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | $845 | $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 | 78.2 yr ± 1.98 | 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 1.98 years of 78.2, 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