ZIP code
99170
in Rosalia, WashingtonPopulation 926
48.80/ 100
Ranked #17,922 of 32,066 US ZIPs (bottom 44%)
Ranked #429 of 581 Washington ZIPs (bottom 26%)
Ranked #38 of 57 Spokane-Spokane Valley, WA ZIPs (bottom 33%)
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.
Child-care access
0.88 per 1,000 residents
in the top 3.1% nationally
Higher is healthier
ST98thUS97thDefinition & source ›
The number of child day-care services 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 ›Fine-particle (PM2.5) exceedance
2.2%
in the top 4.2% nationally
Lower is healthier
ST77thUS96thDefinition & 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 ›Short sleep
28.7%
in the bottom 4.9% nationally
Lower is healthier
ST19thUS5thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Distance to an emergency room
18.5 mi
in the top 6.6% nationally
Lower is healthier
ST93rdUS93rdDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
Full methodology ›Humid extreme heat
10 days/year
in the bottom 7.0% nationally
Lower is healthier
ST48thUS7thDefinition & 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 ›Dental provider access
0.88 per 1,000 residents
in the top 9.0% nationally
Higher is healthier
ST87thUS91stDefinition & 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 ›Home broadband subscription
74.2%
in the bottom 9.2% nationally
Higher is healthier
ST4thUS9thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Distance to a nursing home
10.8 mi
in the top 9.7% nationally
Lower is healthier
ST76thUS90thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›The read
Overall, Rosalia, Washington (ZIP 99170) lands in the bottom 44% nationally (17,922nd) and the bottom 26% of Washington (429th), based on limited data; treat as directional.
The picture here is genuinely mixed, with readings on both sides: childcare resides in the top 3.1% nationally, and modeled short sleep registers in the bottom 4.9% nationally. Modeled humid heat rests in the bottom 7.0% nationally, and dental providers stands in the top 9.0% nationally. Recreation lies in the top 11.6% nationally. On the other side, modeled fine-particle lands in the top 4.2% nationally, distance to an emergency room sits in the top 6.6% nationally, and home broadband subscription is in the bottom 9.2% nationally. Distance to a nursing home settles in the top 9.7% nationally, and walkability resides in the bottom 12.1% nationally.
A note on the terms: fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. 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 comparison, ZIP 99004, just across the boundary, ranks better 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. 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 90%
11%
Climate / Disaster RiskPartial
healthier than 97%
5%
About typical
Social Need / SDOH
healthier than 46%
16%
Holding it back
Chronic Disease Burden
healthier than 36%
21%
Environmental Hazard
healthier than 32%
14%
Preventive Care
healthier than 34%
13%
Mental Health
healthier than 20%
8%
Disability
healthier than 34%
7%
Healthcare Access
healthier than 12%
5%
Lifting this score
Risk Behavior
healthier than 66%
11%
Climate / Disaster RiskPartial
healthier than 85%
5%
About typical
Preventive Care
healthier than 58%
13%
Holding it back
Chronic Disease Burden
healthier than 15%
21%
Social Need / SDOH
healthier than 10%
16%
Environmental Hazard
healthier than 34%
14%
Mental Health
healthier than 28%
8%
Disability
healthier than 14%
7%
Healthcare Access
healthier than 11%
5%
Lifting this score
Environmental Hazard
healthier than 91%
14%
Risk Behavior
healthier than 86%
11%
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 6%
16%
Preventive Care
healthier than 37%
13%
Mental Health
healthier than 32%
8%
Disability
healthier than 7%
7%
Healthcare Access
healthier than 4%
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
99004
Washingtonshares a border
Score 51.56
Closest healthier
99012
Washingtonshares a border
Score 51.89
Similar health profile
97431
Oregon96% similar profile
Score 46.98
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 | 31.8% | 29.3–34.2 |
| High blood pressure among adults | 36.6% | 33.9–39.3 |
| Cancer (non-skin) or melanoma among adults | 10.8% | 10.0–11.6 |
| Current asthma among adults | 12.3% | 11.2–13.5 |
| Coronary heart disease among adults | 8.1% | 7.3–8.9 |
| Chronic obstructive pulmonary disease among adults | 8.4% | 7.3–9.5 |
| Depression among adults | 26.8% | 24.1–29.5 |
| Diagnosed diabetes among adults | 12.3% | 10.9–13.7 |
| High cholesterol among adults who have ever been screened | 38.1% | 35.4–41.0 |
| Obesity among adults | 33.3% | 29.4–37.2 |
| Stroke among adults | 4.3% | 3.9–4.8 |
| All teeth lost among adults aged >=65 years | 14.1% | 12.0–16.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.7% | 6.3–9.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.0% | 74.6–79.2 |
| Visits to doctor for routine checkup within the past year among adults | 74.0% | 71.3–76.5 |
| Cholesterol screening among adults | 83.9% | 82.1–85.4 |
| Colorectal cancer screening among adults aged 45–75 years | 67.0% | 63.5–70.3 |
| Visited dentist or dental clinic in the past year among adults | 67.1% | 64.6–69.7 |
| Mammography use among women aged 50-74 years | 71.3% | 65.4–76.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.8% | 13.0–16.8 |
| Current cigarette smoking among adults | 13.5% | 11.4–15.5 |
| No leisure-time physical activity among adults | 20.9% | 17.9–23.9 |
| Short sleep duration among adults | 28.7% | 25.6–31.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.4% | 17.9–23.0 |
| Frequent mental distress among adults | 18.0% | 16.2–19.8 |
| Frequent physical distress among adults | 16.1% | 14.3–17.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.1% | 14.3–18.0 |
| Any disability among adults | 34.8% | 31.3–38.2 |
| Hearing disability among adults | 9.4% | 8.5–10.3 |
| Independent living disability among adults | 9.6% | 8.4–10.8 |
| Mobility disability among adults | 16.1% | 14.2–18.2 |
| Self-care disability among adults | 4.6% | 4.1–5.2 |
| Vision disability among adults | 5.5% | 4.9–6.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 12.3% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 8.2% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 6.8% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 17.8% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 6.1% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 6.9% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 74.2% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 27.9% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 83.9% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 1.9% | 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 | 62.1% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 22.4% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 50.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $58,750 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $238,300 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | $825 | $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 | 79.9 yr ± 0.95 | 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 0.95 years of 79.9, 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