ZIP code
99224
in Spokane, WashingtonPopulation 24,919
57.24/ 100
Ranked #7,024 of 32,066 US ZIPs (top 22%)
Ranked #173 of 581 Washington ZIPs (top 30%)
Ranked #6 of 57 Spokane-Spokane Valley, WA ZIPs (top 10.6%)
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.
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 ›Subsidized affordable housing
384 units
in the top 6.2% nationally
Higher is healthier
ST86thUS94thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Arsenic in groundwater
19.9%
in the top 6.5% nationally
Lower is healthier
ST90thUS94thDefinition & 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 ›Humid extreme heat
10.4 days/year
in the bottom 7.5% nationally
Lower is healthier
ST51stUS7thDefinition & 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 ›Energy-cost burden
1.7%
in the bottom 8.1% nationally
Lower is healthier
ST34thUS8thDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›Mammography
78.4%
in the top 22% nationally
Higher is healthier
ST94thUS78thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›The read
By its overall health score, ZIP 99224, one of several in Spokane, Washington lands in the top 22% healthiest ZIPs nationally (7,024th) and the top 30% of Washington (173rd).
Taken together, the profile's clearest strengths surface right away: subsidized affordable housing settles in the top 6.2% nationally, and modeled humid heat lies in the bottom 7.5% nationally. Modeled energy burden resides in the bottom 8.1% nationally, and distance to an emergency room lands in the bottom 14.0% nationally. Modeled high blood pressure registers in the bottom 12.5% nationally. Against that, modeled fine-particle sits in the top 4.2% nationally, modeled arsenic rests in the top 6.5% nationally, and distance to a Superfund site is in the bottom 10.3% nationally. Modeled disaster risk stands in the top 13.0% nationally, and PFOS in drinking water settles in the top 13.4% nationally.
Weighed against the ZIPs nearby, park land runs far higher than the surrounding ZIPs on this measure. To translate a couple of terms, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Overall, the nearest healthier neighbor is ZIP 99036, 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
Chronic Disease Burden
healthier than 77%
21%
Social Need / SDOH
healthier than 82%
16%
Risk Behavior
healthier than 87%
11%
Disability
healthier than 78%
7%
Climate / Disaster Risk
healthier than 93%
5%
Healthcare Access
healthier than 76%
5%
About typical
Preventive Care
healthier than 46%
13%
Holding it back
Environmental Hazard
healthier than 11%
14%
Mental Health
healthier than 34%
8%
Lifting this score
Preventive Care
healthier than 73%
13%
Disability
healthier than 64%
7%
Climate / Disaster Risk
healthier than 67%
5%
Healthcare Access
healthier than 62%
5%
About typical
Chronic Disease Burden
healthier than 59%
21%
Social Need / SDOH
healthier than 55%
16%
Risk Behavior
healthier than 60%
11%
Mental Health
healthier than 46%
8%
Holding it back
Environmental Hazard
healthier than 12%
14%
Lifting this score
Chronic Disease Burden
healthier than 78%
21%
Preventive Care
healthier than 63%
13%
Risk Behavior
healthier than 78%
11%
Mental Health
healthier than 72%
8%
Disability
healthier than 78%
7%
About typical
Social Need / SDOH
healthier than 56%
16%
Climate / Disaster Risk
healthier than 56%
5%
Healthcare Access
healthier than 53%
5%
Holding it back
Environmental Hazard
healthier than 38%
14%
“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 ›
Findings that name this ZIP
One of our published findings lists this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 11.0; chronic-disease standing 77.1 — 66 points apart, heavier on the environment than it is on chronic illness.
Ranked #16,031 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
99001
Washingtonshares a border
Score 43.48
Closest healthier
99036
Washingtonshares a border
Score 61.40
Similar health profile
97086
Oregon99% similar profile
Score 57.46
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 | 26.1% | 24.1–28.0 |
| High blood pressure among adults | 30.4% | 28.3–32.7 |
| Cancer (non-skin) or melanoma among adults | 8.6% | 7.9–9.4 |
| Current asthma among adults | 11.5% | 10.4–12.6 |
| Coronary heart disease among adults | 5.7% | 5.1–6.2 |
| Chronic obstructive pulmonary disease among adults | 5.5% | 5.0–6.1 |
| Depression among adults | 26.0% | 23.7–28.5 |
| Diagnosed diabetes among adults | 9.8% | 8.7–10.9 |
| High cholesterol among adults who have ever been screened | 35.0% | 32.6–37.4 |
| Obesity among adults | 33.5% | 30.3–36.9 |
| Stroke among adults | 3.0% | 2.8–3.2 |
| All teeth lost among adults aged >=65 years | 8.6% | 7.1–10.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.5% | 5.6–7.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 70.3% | 67.6–72.8 |
| Visits to doctor for routine checkup within the past year among adults | 73.6% | 71.1–76.1 |
| Cholesterol screening among adults | 84.2% | 82.6–85.7 |
| Colorectal cancer screening among adults aged 45–75 years | 69.9% | 66.7–72.8 |
| Visited dentist or dental clinic in the past year among adults | 68.0% | 65.6–70.3 |
| Mammography use among women aged 50-74 years | 78.4% | 73.7–82.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.4% | 15.5–19.6 |
| Current cigarette smoking among adults | 10.5% | 9.3–11.7 |
| No leisure-time physical activity among adults | 17.5% | 15.6–19.6 |
| Short sleep duration among adults | 31.6% | 28.6–34.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.1% | 14.6–17.8 |
| Frequent mental distress among adults | 16.6% | 15.2–18.2 |
| Frequent physical distress among adults | 12.4% | 11.2–13.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.7% | 12.4–15.0 |
| Any disability among adults | 27.1% | 24.9–29.5 |
| Hearing disability among adults | 6.7% | 6.1–7.4 |
| Independent living disability among adults | 7.1% | 6.5–7.8 |
| Mobility disability among adults | 11.0% | 9.9–12.1 |
| Self-care disability among adults | 3.2% | 2.9–3.5 |
| Vision disability among adults | 4.0% | 3.6–4.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 10.0% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 6.4% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 4.3% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 40.7% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 4.8% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 5.6% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 94.4% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 32.4% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 64.1% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 1.5% | 1.3% (0.0–6.3%) n=32,322 | 2.6% (0.0–7.9%) n=580 |
| Foreign-born population | 6.9% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 55.8% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 17.4% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 40.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $80,770 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $461,000 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | $1,379 | $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 | 79.7 yr ± 0.62 | 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 0.62 years of 79.7, 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