ZIP code
99004
in Cheney, WashingtonPopulation 22,871
51.56/ 100
Ranked #14,040 of 32,066 US ZIPs (top 44%)
Ranked #357 of 581 Washington ZIPs (bottom 39%)
Ranked #27 of 57 Spokane-Spokane Valley, WA ZIPs (top 47%)
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 4.0% nationally
Lower is healthier
ST82ndUS96thDefinition & 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 ›High cholesterol
30%
in the bottom 3.4% nationally
Lower is healthier
ST5thUS3rdDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›High blood pressure
25.8%
in the bottom 3.5% nationally
Lower is healthier
ST8thUS3rdDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Humid extreme heat
9.2 days/year
in the bottom 6.3% nationally
Lower is healthier
ST42ndUS6thDefinition & 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 ›Slow internet speeds
1.6%
in the top 7.1% nationally
Lower is healthier
ST91stUS93rdDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Unemployment rate
10.6%
in the top 8.6% nationally
Lower is healthier
ST92ndUS91stDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Diabetes
8.3%
in the bottom 5.3% nationally
Lower is healthier
ST14thUS5thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Arsenic in groundwater
15.6%
in the top 9.4% nationally
Lower is healthier
ST83rdUS91stDefinition & 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 ›Coronary heart disease
4.8%
in the bottom 7.8% nationally
Lower is healthier
ST17thUS8thDefinition & 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
2.6%
in the bottom 8.3% nationally
Lower is healthier
ST14thUS8thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›The read
Cheney, Washington (ZIP 99004), by its composite score, sits in the top 44% healthiest ZIPs nationally (14,040th) and the bottom 39% of Washington (357th).
Where the data is kindest to this area, a few readings lead the way: modeled high cholesterol resides in the bottom 3.4% nationally, and high blood pressure is in the bottom 3.5% nationally. Modeled humid heat lands in the bottom 6.3% nationally, and diabetes stands in the bottom 5.3% nationally. Modeled coronary heart disease registers in the bottom 7.8% nationally. Distance to a community health center settles at the national minimum, shared with about 23% of ZIPs. On the other hand, modeled fine-particle sits in the top 4.0% nationally, slow internet speeds lies in the top 7.1% nationally, and unemployment rests in the top 8.6% nationally. Modeled arsenic resides in the top 9.4% nationally.
For anyone unfamiliar, 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. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. For a healthier comparison close by, see ZIP 99008, 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 88%
21%
Risk Behavior
healthier than 75%
11%
Disability
healthier than 60%
7%
Climate / Disaster Risk
healthier than 93%
5%
Healthcare Access
healthier than 76%
5%
About typical
Social Need / SDOH
healthier than 46%
16%
Holding it back
Environmental Hazard
healthier than 19%
14%
Preventive Care
healthier than 11%
13%
Mental Health
healthier than 6%
8%
Lifting this score
Chronic Disease Burden
healthier than 76%
21%
Climate / Disaster Risk
healthier than 68%
5%
Healthcare Access
healthier than 62%
5%
Holding it back
Social Need / SDOH
healthier than 10%
16%
Environmental Hazard
healthier than 21%
14%
Preventive Care
healthier than 18%
13%
Risk Behavior
healthier than 30%
11%
Mental Health
healthier than 3%
8%
Disability
healthier than 37%
7%
Lifting this score
Chronic Disease Burden
healthier than 97%
21%
Environmental Hazard
healthier than 72%
14%
About typical
Disability
healthier than 41%
7%
Climate / Disaster Risk
healthier than 59%
5%
Healthcare Access
healthier than 56%
5%
Holding it back
Social Need / SDOH
healthier than 6%
16%
Preventive Care
healthier than 16%
13%
Risk Behavior
healthier than 25%
11%
Mental Health
healthier than 9%
8%
“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 19.3; chronic-disease standing 88.2 — 69 points apart, heavier on the environment than it is on chronic illness.
Ranked #16,299 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
99008
Washingtonshares a border
Score 53.88
Closest healthier
99022
Washingtonshares a border
Score 54.75
Similar health profile
84113
Utah98% similar profile
Score 49.61
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 | 21.0% | 19.4–22.5 |
| High blood pressure among adults | 25.8% | 23.9–27.8 |
| Cancer (non-skin) or melanoma among adults | 6.3% | 5.8–6.8 |
| Current asthma among adults | 12.3% | 11.1–13.5 |
| Coronary heart disease among adults | 4.8% | 4.4–5.3 |
| Chronic obstructive pulmonary disease among adults | 5.4% | 4.8–6.0 |
| Depression among adults | 29.1% | 26.6–31.8 |
| Diagnosed diabetes among adults | 8.3% | 7.4–9.3 |
| High cholesterol among adults who have ever been screened | 30.0% | 28.0–32.1 |
| Obesity among adults | 33.5% | 30.3–37.0 |
| Stroke among adults | 2.6% | 2.4–2.8 |
| All teeth lost among adults aged >=65 years | 10.4% | 8.5–12.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.3% | 7.1–9.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 64.0% | 61.6–66.3 |
| Visits to doctor for routine checkup within the past year among adults | 69.8% | 67.1–72.5 |
| Cholesterol screening among adults | 75.4% | 73.1–77.8 |
| Colorectal cancer screening among adults aged 45–75 years | 67.8% | 64.6–70.8 |
| Visited dentist or dental clinic in the past year among adults | 62.5% | 59.9–65.1 |
| Mammography use among women aged 50-74 years | 76.0% | 71.1–80.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.6% | 16.6–20.8 |
| Current cigarette smoking among adults | 11.0% | 9.6–12.5 |
| No leisure-time physical activity among adults | 18.9% | 16.8–21.3 |
| Short sleep duration among adults | 33.3% | 30.2–36.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 18.0% | 16.2–19.9 |
| Frequent mental distress among adults | 20.7% | 18.9–22.8 |
| Frequent physical distress among adults | 12.6% | 11.4–14.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.3% | 16.5–20.4 |
| Any disability among adults | 30.6% | 28.0–33.5 |
| Hearing disability among adults | 6.1% | 5.5–6.8 |
| Independent living disability among adults | 9.2% | 8.2–10.4 |
| Mobility disability among adults | 10.2% | 9.2–11.4 |
| Self-care disability among adults | 3.4% | 3.1–3.7 |
| Vision disability among adults | 4.8% | 4.4–5.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 19.8% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 9.0% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 4.7% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 35.7% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 10.6% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 5.1% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 91.4% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 32.7% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 57.8% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 2.4% | 1.3% (0.0–6.3%) n=32,322 | 2.6% (0.0–7.9%) n=580 |
| Foreign-born population | 5.6% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 51.7% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 15.1% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 31.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $67,337 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $420,500 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | $1,172 | $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 | 79.5 yr ± 0.90 | 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 0.90 years of 79.5, 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