ZIP code
99023
in Mica, WashingtonPopulation 800
60.71/ 100
Ranked #4,311 of 32,066 US ZIPs (top 13.5%)
Ranked #97 of 581 Washington ZIPs (top 17%)
Ranked #4 of 57 Spokane-Spokane Valley, WA ZIPs (top 7.1%)
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.
Distance to a Superfund site
In this ZIP
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Superfund site — an abandoned or uncontrolled hazardous-waste site the EPA has listed for cleanup.
Full methodology ›Lead in tap water
11 ppb
in the top 2.2% nationally
Lower is healthier
US98thDefinition & 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 ›Poverty rate
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Homeownership rate
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & 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
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 ›Energy-cost burden
1.5%
in the bottom 4.4% nationally
Lower is healthier
ST21stUS4thDefinition & 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 ›Short sleep
29.5%
in the bottom 7.5% nationally
Lower is healthier
ST25thUS7thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Tooth loss
5.4%
in the bottom 3.0% nationally
Lower is healthier
ST8thUS3rdDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Mobility disability
9.9%
in the bottom 8.7% nationally
Lower is healthier
ST16thUS9thDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Coronary heart disease
5.0%
in the bottom 9.7% nationally
Lower is healthier
ST20thUS10thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›The read
Mica, Washington (ZIP 99023), overall, ranks in the top 13.5% healthiest ZIPs nationally (4,311th) and the top 17% of Washington (97th).
This area's measures are easy to read as a mixed set: poverty rests at the national minimum, and homeownership registers at the national maximum. Unemployment resides at the national minimum, shared with about 15% of ZIPs. Modeled energy burden settles in the bottom 4.4% nationally, and short sleep is in the bottom 7.5% nationally. Modeled tooth loss sits in the bottom 3.0% nationally, and humid heat lands in the bottom 10.1% nationally. Set against that, distance to a Superfund site lies at the national minimum, and lead in tap water stands in the top 2.2% nationally. Modeled fine-particle rests in the top 4.0% nationally.
Measured against the nearby ZIPs, park land runs far lower than the surrounding ZIPs on this measure. Defined simply, distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. 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. ZIP 99019, just across the boundary, comes out healthier 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
Chronic Disease Burden
healthier than 81%
21%
Social Need / SDOH
healthier than 84%
16%
Preventive Care
healthier than 68%
13%
Risk Behavior
healthier than 92%
11%
Disability
healthier than 89%
7%
Climate / Disaster Risk
healthier than 94%
5%
Holding it back
Environmental Hazard
healthier than 22%
14%
Mental Health
healthier than 40%
8%
Healthcare Access
healthier than 35%
5%
Lifting this score
Chronic Disease Burden
healthier than 65%
21%
Social Need / SDOH
healthier than 61%
16%
Preventive Care
healthier than 89%
13%
Risk Behavior
healthier than 70%
11%
Disability
healthier than 80%
7%
Climate / Disaster Risk
healthier than 72%
5%
About typical
Mental Health
healthier than 59%
8%
Holding it back
Environmental Hazard
healthier than 24%
14%
Healthcare Access
healthier than 29%
5%
Lifting this score
Chronic Disease Burden
healthier than 84%
21%
Social Need / SDOH
healthier than 78%
16%
Environmental Hazard
healthier than 81%
14%
Preventive Care
healthier than 88%
13%
Risk Behavior
healthier than 88%
11%
Mental Health
healthier than 78%
8%
Disability
healthier than 94%
7%
Climate / Disaster Risk
healthier than 72%
5%
Holding it back
Healthcare Access
healthier than 22%
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
83814
Idahoshares a border
Score 53.68
Closest healthier
99019
Washingtonshares a border
Score 63.24
Similar health profile
84092
Utah98% similar profile
Score 64.78
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 | 26.8% | 24.7–29.2 |
| High blood pressure among adults | 29.7% | 27.2–32.2 |
| Cancer (non-skin) or melanoma among adults | 9.2% | 8.3–10.0 |
| Current asthma among adults | 11.6% | 10.4–12.8 |
| Coronary heart disease among adults | 5.0% | 4.4–5.8 |
| Chronic obstructive pulmonary disease among adults | 5.0% | 4.1–6.2 |
| Depression among adults | 26.1% | 23.6–28.6 |
| Diagnosed diabetes among adults | 9.0% | 7.8–10.3 |
| High cholesterol among adults who have ever been screened | 35.5% | 33.1–38.1 |
| Obesity among adults | 32.5% | 29.1–36.1 |
| Stroke among adults | 2.7% | 2.4–3.1 |
| All teeth lost among adults aged >=65 years | 5.4% | 4.4–6.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 4.9% | 3.7–6.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 70.2% | 67.2–73.1 |
| Visits to doctor for routine checkup within the past year among adults | 74.7% | 72.2–77.2 |
| Cholesterol screening among adults | 87.0% | 85.3–88.8 |
| Colorectal cancer screening among adults aged 45–75 years | 70.3% | 67.2–73.1 |
| Visited dentist or dental clinic in the past year among adults | 74.3% | 72.1–76.4 |
| Mammography use among women aged 50-74 years | 79.1% | 74.7–83.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.8% | 15.9–20.1 |
| Current cigarette smoking among adults | 9.8% | 7.7–12.5 |
| No leisure-time physical activity among adults | 15.5% | 12.9–18.6 |
| Short sleep duration among adults | 29.5% | 26.6–32.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 14.1% | 11.9–16.9 |
| Frequent mental distress among adults | 15.8% | 13.9–17.9 |
| Frequent physical distress among adults | 11.8% | 10.4–13.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.2% | 10.4–14.4 |
| Any disability among adults | 24.4% | 21.4–28.0 |
| Hearing disability among adults | 5.9% | 5.2–6.7 |
| Independent living disability among adults | 6.1% | 5.2–7.3 |
| Mobility disability among adults | 9.9% | 8.3–12.0 |
| Self-care disability among adults | 2.8% | 2.4–3.4 |
| Vision disability among adults | 3.2% | 2.7–3.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 0.0% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 0.0% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 6.1% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 65.2% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 7.5% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 91.7% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 36.2% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 100.0% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 2.6% (0.0–7.9%) n=580 |
| Foreign-born population | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 56.0% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 20.4% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 36.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $114,298 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $735,300 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | — | $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 | 78.8 yr ± 1.14 | 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 1.14 years of 78.8, 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