ZIP code
99148
in Loon Lake, WashingtonPopulation 2,794
49.97/ 100
Ranked #16,286 of 32,066 US ZIPs (bottom 49%)
Ranked #404 of 581 Washington ZIPs (bottom 30%)
Ranked #34 of 57 Spokane-Spokane Valley, WA ZIPs (bottom 40%)
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.
Mammography
64.7%
in the bottom 2.6% nationally
Higher is healthier
ST5thUS3rdDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Fine-particle (PM2.5) exceedance
2.7%
in the top 2.9% nationally
Lower is healthier
ST91stUS97thDefinition & 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 ›Distance to a nursing home
21.1 mi
in the top 3.0% nationally
Lower is healthier
ST91stUS97thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Humid extreme heat
8.3 days/year
in the bottom 5.5% nationally
Lower is healthier
ST38thUS5thDefinition & 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 ›Industrial-pollution burden
in the bottom 8.4% nationally
Lower is healthier
ST11thUS8thDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›Short sleep
30%
in the bottom 9.7% nationally
Lower is healthier
ST30thUS10thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Radon
2.5 pCi/L
in the top 20% nationally
Lower is healthier
ST98thUS80thDefinition & source ›
The modeled typical indoor radon level for this area, in picocuries per liter — the EPA recommends fixing a home at 4 pCi/L or above.
Modeled from indoor-radon measurements. In Alaska and Hawaii, where those measurements are not published, a US Geological Survey geologic radon-potential category stands in — a coarser input, disclosed rather than hidden.
Full methodology ›The read
Judged by its overall standing, Loon Lake, Washington (ZIP 99148) sits in the bottom 49% nationally (16,286th) and the bottom 30% of Washington (404th), based on limited data; treat as directional.
A balanced showing across the data, with a few readings each side: modeled humid heat resides in the bottom 5.5% nationally, industrial-pollution burden sits in the bottom 8.4% nationally, and short sleep stands in the bottom 9.7% nationally. Distance to a hazardous-chemical facility resides in the top 10.4% nationally. Distance to a community health center sits at the national minimum, shared with about 23% of ZIPs. Modeled tree cover stands in the top 11.5% nationally. On the other hand, modeled mammography resides in the bottom 2.6% nationally, and fine-particle sits in the top 2.9% nationally. Distance to a nursing home stands in the top 3.0% nationally. Fiber broadband resides at the national minimum, shared with about 19% of ZIPs.
Put plainly, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Distance to a hazardous-chemical facility is a plant handling large amounts of hazardous chemicals that must file an EPA risk-management plan for accidental releases. A healthier nearby ZIP overall is ZIP 99110, 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
Risk Behavior
healthier than 90%
11%
Mental Health
healthier than 65%
8%
Climate / Disaster RiskPartial
in the top 0.7%
5%
About typical
Social Need / SDOH
healthier than 55%
16%
Disability
healthier than 41%
7%
Holding it back
Chronic Disease Burden
healthier than 24%
21%
Environmental Hazard
healthier than 20%
14%
Preventive Care
healthier than 30%
13%
Healthcare Access
healthier than 23%
5%
Lifting this score
Risk Behavior
healthier than 66%
11%
Mental Health
healthier than 85%
8%
Climate / Disaster RiskPartial
healthier than 97%
5%
About typical
Preventive Care
healthier than 52%
13%
Holding it back
Chronic Disease Burden
healthier than 8%
21%
Social Need / SDOH
healthier than 16%
16%
Environmental Hazard
healthier than 23%
14%
Disability
healthier than 19%
7%
Healthcare Access
healthier than 20%
5%
Lifting this score
Environmental Hazard
healthier than 79%
14%
Risk Behavior
healthier than 86%
11%
Mental Health
in the top 0.00%
8%
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 12%
16%
Preventive Care
healthier than 31%
13%
Disability
healthier than 9%
7%
Healthcare Access
healthier than 7%
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
99006
Washingtonshares a border
Score 49.06
Closest healthier
99110
Washingtonshares a border
Score 50.96
Similar health profile
81325
Colorado94% similar profile
Score 51.25
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 | 37.1% | 33.9–40.2 |
| High blood pressure among adults | 39.3% | 35.8–42.6 |
| Cancer (non-skin) or melanoma among adults | 12.4% | 11.3–13.6 |
| Current asthma among adults | 11.8% | 10.6–13.2 |
| Coronary heart disease among adults | 9.1% | 8.1–10.1 |
| Chronic obstructive pulmonary disease among adults | 8.7% | 7.6–9.9 |
| Depression among adults | 23.5% | 20.7–26.5 |
| Diagnosed diabetes among adults | 13.0% | 11.3–14.7 |
| High cholesterol among adults who have ever been screened | 40.3% | 36.8–43.8 |
| Obesity among adults | 33.5% | 29.2–38.2 |
| Stroke among adults | 4.5% | 4.1–5.0 |
| All teeth lost among adults aged >=65 years | 13.5% | 11.1–16.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.0% | 5.9–8.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.0% | 73.6–79.8 |
| Visits to doctor for routine checkup within the past year among adults | 74.9% | 71.8–77.9 |
| Cholesterol screening among adults | 86.9% | 85.4–88.5 |
| Colorectal cancer screening among adults aged 45–75 years | 66.6% | 62.7–70.4 |
| Visited dentist or dental clinic in the past year among adults | 65.8% | 62.8–68.7 |
| Mammography use among women aged 50-74 years | 64.7% | 58.1–70.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.4% | 12.2–16.8 |
| Current cigarette smoking among adults | 13.0% | 11.1–15.1 |
| No leisure-time physical activity among adults | 20.7% | 17.6–24.1 |
| Short sleep duration among adults | 30.0% | 26.2–34.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 19.6% | 17.2–22.4 |
| Frequent mental distress among adults | 14.8% | 13.1–16.5 |
| Frequent physical distress among adults | 15.8% | 14.0–17.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.8% | 12.2–15.5 |
| Any disability among adults | 33.9% | 30.3–37.7 |
| Hearing disability among adults | 9.9% | 8.8–11.0 |
| Independent living disability among adults | 8.5% | 7.5–9.6 |
| Mobility disability among adults | 17.0% | 14.9–19.4 |
| Self-care disability among adults | 4.4% | 3.9–4.9 |
| Vision disability among adults | 5.1% | 4.6–5.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 12.0% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 4.3% | 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+) | 32.2% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 1.9% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 2.2% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 90.8% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 26.1% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 81.6% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 5.7% | 1.3% (0.0–6.3%) n=32,322 | 2.6% (0.0–7.9%) n=580 |
| Foreign-born population | 1.1% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 65.1% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 24.3% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 50.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $67,431 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $429,900 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | $989 | $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 | 77.5 yr ± 1.41 | 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 1.41 years of 77.5, 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