ZIP code
99141
in Kettle Falls, WashingtonPopulation 5,626
46.56/ 100
Ranked #20,693 of 32,066 US ZIPs (bottom 35%)
Ranked #494 of 581 Washington ZIPs (bottom 15.0%)
Ranked #43 of 57 Spokane-Spokane Valley, WA ZIPs (bottom 25%)
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
63.6%
in the bottom 1.9% nationally
Higher is healthier
ST3rdUS2ndDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full 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 ›Park land
55.2%
in the top 2.0% nationally
Higher is healthier
ST96thUS98thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Fine-particle (PM2.5) exceedance
2.5%
in the top 3.1% 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 ›Humid extreme heat
10.2 days/year
in the bottom 7.3% nationally
Lower is healthier
ST49thUS7thDefinition & 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 ›Elder-services access
0.17 per 1,000 residents
in the top 8.4% nationally
Higher is healthier
ST92ndUS92ndDefinition & source ›
The number of services for older adults and people with disabilities inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Industrial-pollution burden
in the bottom 9.0% nationally
Lower is healthier
ST13thUS9thDefinition & 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 ›Radon
2.4 pCi/L
in the top 22% nationally
Lower is healthier
ST97thUS78thDefinition & 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
By the composite measure, Kettle Falls, Washington (ZIP 99141) sits in the bottom 35% nationally (20,693rd) and the bottom 15.0% of Washington (494th), based on limited data; treat as directional.
The main burdens in the data show plainly and lead the picture: modeled mammography is in the bottom 1.9% nationally, distance to a Superfund site rests at the national minimum, and modeled fine-particle sits in the top 3.1% nationally. Walkability registers in the bottom 11.7% nationally, and modeled hearing disability lands in the top 16% nationally. More positively, park land resides in the top 2.0% nationally, and modeled humid heat lies in the bottom 7.3% nationally. Elder services settles in the top 8.4% nationally, and modeled industrial-pollution burden stands in the bottom 9.0% nationally. Modeled tree cover is in the top 12.3% nationally.
Compared with the ZIPs that surround it, park land runs far higher than the surrounding ZIPs on this measure. In plain language, distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. 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. ZIP 99114, just across the boundary, ranks 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
Risk Behavior
healthier than 79%
11%
Climate / Disaster RiskPartial
in the top 0.07%
5%
About typical
Social Need / SDOH
healthier than 58%
16%
Mental Health
healthier than 42%
8%
Healthcare Access
healthier than 46%
5%
Holding it back
Chronic Disease Burden
healthier than 21%
21%
Environmental Hazard
healthier than 21%
14%
Preventive Care
healthier than 18%
13%
Disability
healthier than 28%
7%
Lifting this score
Mental Health
healthier than 63%
8%
Climate / Disaster RiskPartial
in the top 0.00%
5%
Holding it back
Chronic Disease Burden
healthier than 8%
21%
Social Need / SDOH
healthier than 18%
16%
Environmental Hazard
healthier than 24%
14%
Preventive Care
healthier than 32%
13%
Risk Behavior
healthier than 37%
11%
Disability
healthier than 10%
7%
Healthcare Access
healthier than 37%
5%
Lifting this score
Environmental Hazard
healthier than 80%
14%
Mental Health
healthier than 85%
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 16%
16%
Preventive Care
healthier than 21%
13%
Risk Behavior
healthier than 37%
11%
Disability
healthier than 2%
7%
Healthcare Access
healthier than 35%
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.
Above what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 81.0 ± 2.1 years. A median household income of $58,302 predicts 77.9 years — 3.1 years above.
Ranked #410 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
99114
Washingtonshares a border
Score 47.20
Closest healthier
99167
Washingtonshares a border
Score 48.00
Similar health profile
98635
Washington94% similar profile
Score 49.01
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 | 36.8% | 34.4–39.3 |
| High blood pressure among adults | 39.3% | 36.6–42.1 |
| Cancer (non-skin) or melanoma among adults | 11.6% | 10.7–12.5 |
| Current asthma among adults | 12.2% | 11.1–13.4 |
| Coronary heart disease among adults | 9.3% | 8.4–10.1 |
| Chronic obstructive pulmonary disease among adults | 9.4% | 8.3–10.5 |
| Depression among adults | 24.9% | 22.4–27.5 |
| Diagnosed diabetes among adults | 13.4% | 12.1–14.9 |
| High cholesterol among adults who have ever been screened | 39.6% | 36.7–42.6 |
| Obesity among adults | 36.0% | 32.1–40.2 |
| Stroke among adults | 4.7% | 4.3–5.1 |
| All teeth lost among adults aged >=65 years | 13.9% | 12.0–16.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.9% | 6.8–9.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.2% | 73.6–78.6 |
| Visits to doctor for routine checkup within the past year among adults | 73.5% | 70.6–76.1 |
| Cholesterol screening among adults | 85.0% | 83.5–86.4 |
| Colorectal cancer screening among adults aged 45–75 years | 65.9% | 62.5–69.1 |
| Visited dentist or dental clinic in the past year among adults | 61.0% | 58.2–63.7 |
| Mammography use among women aged 50-74 years | 63.6% | 57.9–69.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.6% | 12.7–16.7 |
| Current cigarette smoking among adults | 14.9% | 13.1–16.9 |
| No leisure-time physical activity among adults | 22.6% | 19.9–25.6 |
| Short sleep duration among adults | 31.9% | 28.4–35.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.6% | 19.5–24.1 |
| Frequent mental distress among adults | 16.4% | 15.0–18.0 |
| Frequent physical distress among adults | 16.8% | 15.3–18.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.6% | 14.1–17.2 |
| Any disability among adults | 36.1% | 33.0–39.4 |
| Hearing disability among adults | 10.2% | 9.3–11.2 |
| Independent living disability among adults | 9.5% | 8.6–10.6 |
| Mobility disability among adults | 18.0% | 16.2–20.0 |
| Self-care disability among adults | 4.9% | 4.5–5.4 |
| Vision disability among adults | 5.8% | 5.3–6.4 |
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 | 10.6% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 9.3% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 20.1% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 4.2% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 1.8% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 86.0% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 18.8% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 75.8% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 3.9% | 1.3% (0.0–6.3%) n=32,322 | 2.6% (0.0–7.9%) n=580 |
| Foreign-born population | 3.3% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 63.8% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 27.3% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 52.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $58,302 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $320,700 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | $894 | $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 | 81.0 yr ± 1.09 | 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 1.09 years of 81.0, 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