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ZipVitals

ZIP code

99001

in Airway Heights, WashingtonPopulation 9,440

43.48/ 100

Ranked #23,926 of 32,066 US ZIPs (bottom 25%)

Ranked #539 of 581 Washington ZIPs (bottom 7.3%)

Ranked #48 of 57 Spokane-Spokane Valley, WA ZIPs (bottom 16%)

Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.

Robust across all 9 health domains

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.

Subsidized affordable housing

892 units

in the top 1.8% nationally

Higher is healthier

ST94th
US98th
Definition & source ›

The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.

Full methodology ›

PFAS in drinking water

80.4%

in the top 1.9% nationally

Lower is healthier

ST95th
US98th
Definition & source ›

The modeled probability that PFAS “forever chemicals” would be detected in untreated groundwater in this area, the source private wells draw on.

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 ›

Lead in tap water

11 ppb

in the top 2.2% nationally

Lower is healthier

US98th
Definition & source ›

The lead level at the 90th percentile of tap-water samples reported by the public water systems serving this ZIP, in parts per billion — the EPA requires action above 15 ppb.

Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.

Full methodology ›

Floodplain exposure

0.00%

at the national minimum

Lower is healthier

ST1st
US1st
Definition & 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 ›

Homeownership rate

32.1%

in the bottom 3.6% nationally

Higher is healthier

ST4th
US4th
Definition & source ›

The share of occupied homes that are owned, rather than rented, by the people living in them.

Full methodology ›

Fine-particle (PM2.5) exceedance

2.2%

in the top 4.0% nationally

Lower is healthier

ST82nd
US96th
Definition & 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 ›

Crowded housing

10.2%

in the top 4.5% nationally

Lower is healthier

ST95th
US96th
Definition & source ›

The share of occupied homes with more than one person per room, the Census definition of crowded housing.

Full methodology ›

Housing-cost burden

46.3%

in the top 4.7% nationally

Lower is healthier

ST95th
US95th
Definition & source ›

The share of households spending 30% or more of their income on housing.

Full methodology ›

Tree cover

0.00%

at the national minimum

Higher is healthier

ST1st
US1st
Definition & source ›

The share of this ZIP’s land area covered by forest.

Full methodology ›

Unemployment rate

11.9%

in the top 6.6% nationally

Lower is healthier

ST94th
US93rd
Definition & source ›

The share of the civilian labor force that is unemployed.

Full methodology ›

The read

Airway Heights, Washington (ZIP 99001), by its composite score, sits in the bottom 25% nationally (23,926th) and the bottom 7.3% of Washington (539th).

continue reading

The measures that matter most for this area lead the way: modeled pfas resides in the top 1.9% nationally, and lead in tap water is in the top 2.2% nationally. Homeownership lands in the bottom 3.6% nationally, and modeled fine-particle stands in the top 4.0% nationally. Crowded housing registers in the top 4.5% nationally, housing-cost burden settles in the top 4.7% nationally, and modeled tree cover sits at the national minimum. Unemployment lies in the top 6.6% nationally. On the better side, subsidized affordable housing rests in the top 1.8% nationally, and floodplain exposure resides at the national minimum.

Next to the surrounding area, park land runs far lower than the surrounding ZIPs on this measure. For anyone unfamiliar, pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. Lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. For a healthier comparison close by, see ZIP 99011, 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.

Compare within

Lifting this score

Chronic Disease Burden

healthier than 70%

21%

Social Need / SDOH

healthier than 97%

16%

Climate / Disaster Risk

healthier than 96%

5%

Holding it back

Environmental Hazard

healthier than 11%

14%

Preventive Care

healthier than 2%

13%

Risk Behavior

healthier than 15%

11%

Mental Health

healthier than 6%

8%

Disability

healthier than 29%

7%

Healthcare Access

healthier than 36%

5%

Lifting this score

Social Need / SDOH

healthier than 91%

16%

Climate / Disaster Risk

healthier than 82%

5%

About typical

Chronic Disease Burden

healthier than 48%

21%

Holding it back

Environmental Hazard

healthier than 12%

14%

Preventive Care

healthier than 5%

13%

Risk Behavior

in the bottom 0.3%

11%

Mental Health

healthier than 3%

8%

Disability

healthier than 10%

7%

Healthcare Access

healthier than 30%

5%

Lifting this score

Social Need / SDOH

healthier than 97%

16%

Climate / Disaster Risk

healthier than 94%

5%

About typical

Chronic Disease Burden

healthier than 53%

21%

Holding it back

Environmental Hazard

healthier than 34%

14%

Preventive Care

in the bottom 0.00%

13%

Risk Behavior

in the bottom 0.00%

11%

Mental Health

healthier than 13%

8%

Disability

healthier than 6%

7%

Healthcare Access

healthier than 25%

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 ›

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 10.8; chronic-disease standing 70.3 — 60 points apart, heavier on the environment than it is on chronic illness.

    Ranked #15,360 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.

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
MeasureCrude prevalence95% CI
Arthritis among adults22.0%20.4–23.8
High blood pressure among adults30.8%28.7–33.2
Cancer (non-skin) or melanoma among adults5.1%4.7–5.6
Current asthma among adults11.8%10.7–13.0
Coronary heart disease among adults5.8%5.2–6.4
Chronic obstructive pulmonary disease among adults7.1%6.2–8.1
Depression among adults27.7%25.4–30.3
Diagnosed diabetes among adults11.4%10.2–12.6
High cholesterol among adults who have ever been screened31.3%29.1–33.5
Obesity among adults41.0%37.7–44.7
Stroke among adults3.3%3.0–3.6
All teeth lost among adults aged >=65 years21.0%17.8–24.6
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years12.5%10.2–15.0
Taking medicine to control high blood pressure among adults with high blood pressure61.2%58.4–63.9
Visits to doctor for routine checkup within the past year among adults67.1%64.1–70.0
Cholesterol screening among adults73.8%70.8–76.6
Colorectal cancer screening among adults aged 45–75 years56.7%53.1–60.1
Visited dentist or dental clinic in the past year among adults51.4%48.5–54.4
Mammography use among women aged 50-74 years70.1%64.5–75.1
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults19.2%17.0–21.5
Current cigarette smoking among adults18.5%15.7–21.5
No leisure-time physical activity among adults25.0%21.9–28.3
Short sleep duration among adults38.5%35.2–41.9
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults24.6%21.7–27.6
Frequent mental distress among adults21.6%19.6–23.7
Frequent physical distress among adults15.5%13.8–17.2
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults20.4%18.1–22.9
Any disability among adults34.5%31.1–37.9
Hearing disability among adults7.0%6.3–7.8
Independent living disability among adults10.8%9.5–12.1
Mobility disability among adults13.2%11.7–14.9
Self-care disability among adults5.0%4.4–5.6
Vision disability among adults6.7%5.9–7.4
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)WA median (p10–p90)
Poverty rate22.6%10.6% (3.1–25.8%) n=32,3649.6% (3.5–22.3%) n=583
Uninsured 18–644.7%9.0% (1.5–24.3%) n=32,2868.2% (1.8–22.7%) n=582
No HS diploma (25+)10.1%7.9% (1.8–20.7%) n=32,5057.0% (1.5–16.5%) n=588
Bachelor's or higher (25+)14.1%23.3% (9.2–53.6%) n=32,50527.4% (12.3–59.7%) n=588
Unemployment rate (16+)11.9%3.9% (0.0–9.8%) n=32,2744.5% (0.0–9.7%) n=584
Households without a vehicle7.8%3.9% (0.0–12.5%) n=32,3223.7% (0.0–10.2%) n=580
Broadband subscription91.7%89.3% (75.1–97.1%) n=32,32292.7% (81.1–97.4%) n=580
Housing cost burden (≥30% income)46.3%23.7% (10.6–40.0%) n=32,32228.9% (14.6–40.6%) n=580
Homeownership rate32.1%78.7% (51.7–94.0%) n=32,32275.2% (48.2–91.7%) n=580
Crowded housing (>1 per room)10.2%1.3% (0.0–6.3%) n=32,3222.6% (0.0–7.9%) n=580
Foreign-born population9.7%2.6% (0.0–18.6%) n=32,5536.7% (0.3–27.6%) n=588
Single-parent households40.4%53.6% (37.3–74.1%) n=32,08754.3% (40.5–76.0%) n=574
Population 65+8.8%19.4% (10.8–33.6%) n=32,55318.9% (10.3–36.9%) n=588
Median age32.6 yr42.2 yr (33.0–56.3) n=32,29241.0 yr (32.9–58.8) n=584
Median household income$62,518$72,070 ($46,039–$118,707) n=30,318$84,646 ($56,217–$132,145) n=547
Median home value$346,200$222,200 ($100,300–$579,820) n=30,049$452,750 ($241,540–$826,380) n=542
Median gross rent$1,357$1,021 ($677–$1,912) n=25,670$1,416 ($840–$2,197) n=476
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)WA median (p10–p90)
Life expectancy at birth79.5 yr ± 2.0478.9 yr (74.7–82.8) n=31,30880.2 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 2.04 years of 79.5, and it’s very unlikely to be off by more than twice that.

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