ZIP code
99158
in Oakesdale, WashingtonPopulation 561
57.32/ 100
Ranked #6,967 of 32,066 US ZIPs (top 22%)
Ranked #171 of 581 Washington ZIPs (top 29%)
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.
Short sleep
26.7%
in the bottom 1.3% nationally
Lower is healthier
ST4thUS1stDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Recreation access
1.7 per 1,000 residents
in the top 2.6% nationally
Higher is healthier
ST99thUS97thDefinition & source ›
The number of places for physical recreation — gyms, sports, and fitness venues — 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 ›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 ›Humid extreme heat
9.3 days/year
in the bottom 6.4% nationally
Lower is healthier
ST43rdUS6thDefinition & 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 ›Distance to a nursing home
12 mi
in the top 8.0% nationally
Lower is healthier
ST79thUS92ndDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Industrial-pollution burden
in the bottom 8.7% nationally
Lower is healthier
ST12thUS9thDefinition & 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 ›Colon-cancer screening
73%
in the top 7.3% nationally
Higher is healthier
ST93rdUS93rdDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Natural-disaster risk
in the bottom 34% nationally
Lower is healthier
ST5thUS34thDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›The read
By its overall health score, Oakesdale, Washington (ZIP 99158) lands in the top 22% healthiest ZIPs nationally (6,967th) and the top 29% of Washington (171st), based on limited data; treat as directional.
Strengths and concerns sit side by side across the measures here: modeled short sleep sits in the bottom 1.3% nationally, and recreation rests in the top 2.6% nationally. Modeled humid heat is in the bottom 6.4% nationally. Households without a vehicle stands at the national minimum, shared with about 16% of ZIPs. Modeled industrial-pollution burden settles in the bottom 8.7% nationally, and colon screening lies in the top 7.3% nationally. On the other hand, modeled fine-particle resides in the top 4.0% nationally, distance to a nursing home lands in the top 8.0% nationally, and modeled tree cover registers in the bottom 12.6% nationally. Walkability sits in the bottom 13.6% nationally.
To translate a couple of terms, 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. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. Overall, the nearest healthier neighbor is ZIP 99130, 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Social Need / SDOH
healthier than 64%
16%
Preventive Care
healthier than 70%
13%
Risk Behavior
healthier than 97%
11%
Disability
healthier than 71%
7%
Climate / Disaster RiskPartial
healthier than 97%
5%
About typical
Chronic Disease Burden
healthier than 58%
21%
Environmental Hazard
healthier than 46%
14%
Holding it back
Mental Health
healthier than 40%
8%
Healthcare Access
healthier than 12%
5%
Lifting this score
Preventive Care
healthier than 90%
13%
Risk Behavior
healthier than 86%
11%
Climate / Disaster RiskPartial
healthier than 83%
5%
About typical
Environmental Hazard
healthier than 44%
14%
Mental Health
healthier than 59%
8%
Disability
healthier than 53%
7%
Holding it back
Chronic Disease Burden
healthier than 31%
21%
Social Need / SDOH
healthier than 23%
16%
Healthcare Access
healthier than 11%
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
99018
Washingtonshares a border
Score 51.42
Closest healthier
99130
Washingtonshares a border
Score 57.56
Similar health profile
05674
Vermont98% similar profile
Score 58.26
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 | 30.0% | 27.3–33.0 |
| High blood pressure among adults | 34.3% | 31.2–37.6 |
| Cancer (non-skin) or melanoma among adults | 11.4% | 10.4–12.5 |
| Current asthma among adults | 11.8% | 10.5–13.1 |
| Coronary heart disease among adults | 6.8% | 6.1–7.7 |
| Chronic obstructive pulmonary disease among adults | 6.4% | 5.4–7.4 |
| Depression among adults | 25.5% | 22.5–28.6 |
| Diagnosed diabetes among adults | 10.5% | 9.2–12.0 |
| High cholesterol among adults who have ever been screened | 37.5% | 34.0–40.9 |
| Obesity among adults | 30.2% | 26.0–34.9 |
| Stroke among adults | 3.6% | 3.2–4.0 |
| All teeth lost among adults aged >=65 years | 11.2% | 9.2–13.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.6% | 4.4–6.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.6% | 74.6–80.3 |
| Visits to doctor for routine checkup within the past year among adults | 74.7% | 71.3–77.6 |
| Cholesterol screening among adults | 86.7% | 84.9–88.3 |
| Colorectal cancer screening among adults aged 45–75 years | 73.0% | 69.3–76.5 |
| Visited dentist or dental clinic in the past year among adults | 72.7% | 69.9–75.3 |
| Mammography use among women aged 50-74 years | 74.6% | 68.0–80.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.3% | 13.0–17.8 |
| Current cigarette smoking among adults | 10.4% | 8.6–12.3 |
| No leisure-time physical activity among adults | 16.1% | 13.5–19.1 |
| Short sleep duration among adults | 26.7% | 23.1–30.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 15.6% | 13.4–17.8 |
| Frequent mental distress among adults | 16.2% | 14.3–18.0 |
| Frequent physical distress among adults | 13.7% | 12.1–15.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.1% | 11.4–14.9 |
| Any disability among adults | 29.5% | 26.1–33.1 |
| Hearing disability among adults | 8.1% | 7.2–9.0 |
| Independent living disability among adults | 7.2% | 6.3–8.3 |
| Mobility disability among adults | 12.7% | 10.9–14.6 |
| Self-care disability among adults | 3.4% | 3.0–3.9 |
| Vision disability among adults | 3.9% | 3.4–4.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 4.1% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 6.1% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 3.3% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 31.5% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 0.9% | 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 | 86.7% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 15.6% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 88.2% | 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 | 1.1% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 60.4% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 20.3% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 48.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $78,375 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $301,800 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | $950 | $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 | 81.9 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 81.9, 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