ZIP code
99101
in Addy, WashingtonPopulation 1,690
49.84/ 100
Ranked #16,467 of 32,066 US ZIPs (bottom 49%)
Ranked #410 of 581 Washington ZIPs (bottom 29%)
Ranked #35 of 57 Spokane-Spokane Valley, WA ZIPs (bottom 39%)
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
65%
in the bottom 2.9% nationally
Higher is healthier
ST6thUS3rdDefinition & 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
3.0%
in the top 2.4% nationally
Lower is healthier
ST94thUS98thDefinition & 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 ›PFAS in drinking water
9.6%
in the bottom 8.2% nationally
Lower is healthier
ST16thUS8thDefinition & 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 ›Industrial-pollution burden
in the bottom 9.5% nationally
Lower is healthier
ST15thUS9thDefinition & 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
2.5 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
In its overall standing, Addy, Washington (ZIP 99101) lands in the bottom 49% nationally (16,467th) and the bottom 29% of Washington (410th), based on limited data; treat as directional.
Reading across the data, the real pressures come first: modeled mammography sits in the bottom 2.9% nationally, and fine-particle lands in the top 2.4% nationally. Fiber broadband lies at the national minimum, shared with about 19% of ZIPs. Distance to a hazardous-chemical facility stands at the national minimum, shared with about 31% of ZIPs. Recreation rests at the national minimum, shared with about 35% of ZIPs. More encouragingly, households without a vehicle registers at the national minimum, shared with about 16% of ZIPs. Modeled pfas resides in the bottom 8.2% nationally, and industrial-pollution burden settles in the bottom 9.5% nationally. Modeled humid heat is in the bottom 13.1% nationally, and short sleep sits in the bottom 14.5% nationally.
Put simply, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. 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. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. On the overall standing, ZIP 99148, about 13 miles away, ranks healthier.
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 87%
11%
Mental Health
healthier than 61%
8%
Climate / Disaster RiskPartial
healthier than 98%
5%
About typical
Social Need / SDOH
healthier than 46%
16%
Disability
healthier than 43%
7%
Holding it back
Chronic Disease Burden
healthier than 32%
21%
Environmental Hazard
healthier than 17%
14%
Preventive Care
healthier than 24%
13%
Healthcare Access
healthier than 29%
5%
Lifting this score
Risk Behavior
healthier than 60%
11%
Mental Health
healthier than 83%
8%
Climate / Disaster RiskPartial
healthier than 88%
5%
About typical
Preventive Care
healthier than 41%
13%
Holding it back
Chronic Disease Burden
healthier than 12%
21%
Social Need / SDOH
healthier than 11%
16%
Environmental Hazard
healthier than 20%
14%
Disability
healthier than 20%
7%
Healthcare Access
healthier than 24%
5%
Lifting this score
Environmental Hazard
healthier than 71%
14%
Risk Behavior
healthier than 80%
11%
Mental Health
in the top 0.09%
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 7%
16%
Preventive Care
healthier than 26%
13%
Disability
healthier than 9%
7%
Healthcare Access
healthier than 13%
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
99109
Washingtonshares a border
Score 48.80
Closest healthier
99148
Washingtonabout 13 mi away
Score 49.97
Similar health profile
83629
Idaho94% similar profile
Score 52.10
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 | 35.4% | 32.4–38.3 |
| High blood pressure among adults | 38.0% | 34.9–41.2 |
| Cancer (non-skin) or melanoma among adults | 11.9% | 10.8–13.0 |
| Current asthma among adults | 11.8% | 10.5–13.1 |
| Coronary heart disease among adults | 8.9% | 8.0–9.8 |
| Chronic obstructive pulmonary disease among adults | 8.2% | 7.2–9.2 |
| Depression among adults | 23.6% | 20.9–26.6 |
| Diagnosed diabetes among adults | 12.4% | 10.9–14.0 |
| High cholesterol among adults who have ever been screened | 39.0% | 35.7–42.4 |
| Obesity among adults | 33.0% | 28.7–37.7 |
| Stroke among adults | 4.4% | 4.0–4.8 |
| All teeth lost among adults aged >=65 years | 10.9% | 8.9–13.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.6% | 5.4–7.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.4% | 73.3–79.3 |
| Visits to doctor for routine checkup within the past year among adults | 73.9% | 70.8–76.8 |
| Cholesterol screening among adults | 85.7% | 84.1–87.3 |
| Colorectal cancer screening among adults aged 45–75 years | 66.8% | 62.9–70.6 |
| Visited dentist or dental clinic in the past year among adults | 61.2% | 58.1–64.3 |
| Mammography use among women aged 50-74 years | 65.0% | 58.4–71.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.2% | 13.0–17.7 |
| Current cigarette smoking among adults | 12.6% | 10.7–14.5 |
| No leisure-time physical activity among adults | 20.0% | 17.0–23.1 |
| Short sleep duration among adults | 31.0% | 27.1–35.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 18.9% | 16.5–21.3 |
| Frequent mental distress among adults | 15.2% | 13.6–16.9 |
| Frequent physical distress among adults | 15.4% | 13.6–17.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.1% | 12.5–15.8 |
| Any disability among adults | 33.7% | 30.1–37.2 |
| Hearing disability among adults | 9.9% | 8.8–10.9 |
| Independent living disability among adults | 8.4% | 7.4–9.4 |
| Mobility disability among adults | 16.3% | 14.2–18.3 |
| Self-care disability among adults | 4.2% | 3.8–4.7 |
| Vision disability among adults | 5.0% | 4.5–5.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 16.2% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 5.9% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 4.3% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 25.0% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 4.4% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 82.4% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 19.9% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 88.7% | 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 | 2.4% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 55.9% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 20.7% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 43.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $78,750 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $434,800 | $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 | 78.3 yr ± 0.94 | 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 0.94 years of 78.3, 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