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ZipVitals

ZIP code

99371

in Washtucna, WashingtonPopulation 394

47.38/ 100

Ranked #19,684 of 32,066 US ZIPs (bottom 39%)

Ranked #478 of 581 Washington ZIPs (bottom 18%)

Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.

Broad coverage across health domains

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 nursing home

31.3 mi

in the top 1.5% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.

Full methodology ›

Short sleep

26.4%

in the bottom 1.0% nationally

Lower is healthier

ST3rd
US1st
Definition & source ›

The estimated share of adults who usually sleep less than seven hours in a 24-hour period.

Full methodology ›

Walkability

1.1 intersections/sq mi

in the bottom 3.2% nationally

Higher is healthier

ST4th
US3rd
Definition & source ›

The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.

Full methodology ›

Fine-particle (PM2.5) exceedance

1.8%

in the top 5.1% nationally

Lower is healthier

ST71st
US95th
Definition & 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 ›

Mammography

67.3%

in the bottom 6.1% nationally

Higher is healthier

ST12th
US6th
Definition & source ›

The estimated share of women aged 50–74 who had a mammogram within the past two years.

Full methodology ›

Distance to a community health center

18 mi

in the top 9.5% nationally

Lower is healthier

ST94th
US91st
Definition & source ›

The distance in miles from this ZIP’s edge to the nearest federally funded community health center, which serves patients regardless of ability to pay.

Full methodology ›

Tree cover

0.00%

in the bottom 9.7% nationally

Higher is healthier

ST11th
US10th
Definition & source ›

The share of this ZIP’s land area covered by forest.

Full methodology ›

Distance to a Superfund site

42.1 mi

in the top 17% nationally

Higher is healthier

ST91st
US83rd
Definition & 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 ›

Tooth loss

20.2%

in the top 17% nationally

Lower is healthier

ST96th
US83rd
Definition & source ›

The estimated share of adults aged 65 and older who have lost all of their natural teeth.

Full methodology ›

Dry extreme heat

21.5 days/year

in the top 21% nationally

Lower is healthier

ST95th
US79th
Definition & source ›

The average number of days per year with a modeled daily high of at least 95 °F.

Full methodology ›

The read

Washtucna, Washington (ZIP 99371), in overall standing, comes out in the bottom 39% nationally (19,684th) and the bottom 18% of Washington (478th), based on limited data; treat as directional.

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A few readings account for most of this area's strain: distance to a nursing home settles in the top 1.5% nationally, walkability lands in the bottom 3.2% nationally, and modeled fine-particle rests in the top 5.1% nationally. Modeled mammography settles in the bottom 6.1% nationally, and distance to a community health center lands in the top 9.5% nationally. Fiber broadband rests at the national minimum, shared with about 19% of ZIPs. Modeled tree cover settles in the bottom 9.7% nationally, and unemployment lands in the top 11.5% nationally. Distance to an emergency room rests in the top 12.2% nationally. On the better side, modeled short sleep settles in the bottom 1.0% nationally.

Defined simply, for reference, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Distance to a community health center is a federally funded (HRSA) community health center serving everyone regardless of ability to pay. The closest healthier ZIP overall is ZIP 99169, 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.

Compare within

Lifting this score

Risk Behavior

healthier than 91%

11%

Climate / Disaster RiskPartial

healthier than 68%

5%

About typical

Social Need / SDOH

healthier than 42%

16%

Environmental Hazard

healthier than 53%

14%

Mental Health

healthier than 49%

8%

Holding it back

Chronic Disease Burden

healthier than 25%

21%

Preventive Care

healthier than 26%

13%

Disability

healthier than 27%

7%

Healthcare Access

healthier than 3%

5%

Lifting this score

Risk Behavior

healthier than 68%

11%

Mental Health

healthier than 71%

8%

About typical

Environmental Hazard

healthier than 52%

14%

Preventive Care

healthier than 45%

13%

Holding it back

Chronic Disease Burden

healthier than 9%

21%

Social Need / SDOH

healthier than 9%

16%

Disability

healthier than 9%

7%

Climate / Disaster RiskPartial

healthier than 29%

5%

Healthcare Access

healthier than 3%

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.

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
MeasureCrude prevalence95% CI
Arthritis among adults33.2%30.1–36.4
High blood pressure among adults39.1%35.7–43.0
Cancer (non-skin) or melanoma among adults11.7%10.7–12.9
Current asthma among adults11.4%10.2–12.7
Coronary heart disease among adults9.1%8.0–10.4
Chronic obstructive pulmonary disease among adults9.0%7.4–10.8
Depression among adults23.6%20.7–26.9
Diagnosed diabetes among adults12.8%11.1–14.7
High cholesterol among adults who have ever been screened39.7%36.1–43.7
Obesity among adults32.6%27.6–38.4
Stroke among adults4.7%4.1–5.4
All teeth lost among adults aged >=65 years20.2%17.0–23.8
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years10.2%8.1–12.6
Taking medicine to control high blood pressure among adults with high blood pressure77.6%74.7–80.4
Visits to doctor for routine checkup within the past year among adults74.1%70.8–77.4
Cholesterol screening among adults84.8%82.8–86.8
Colorectal cancer screening among adults aged 45–75 years69.2%65.0–73.4
Visited dentist or dental clinic in the past year among adults62.1%58.9–65.3
Mammography use among women aged 50-74 years67.3%59.7–74.4
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults14.6%12.3–17.3
Current cigarette smoking among adults13.6%11.2–16.3
No leisure-time physical activity among adults23.2%19.2–27.6
Short sleep duration among adults26.4%22.4–30.9
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults21.8%18.3–25.7
Frequent mental distress among adults16.5%14.7–18.6
Frequent physical distress among adults16.2%14.0–18.6
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults16.1%13.9–18.6
Any disability among adults35.3%31.0–40.2
Hearing disability among adults10.6%9.4–12.0
Independent living disability among adults9.7%8.2–11.3
Mobility disability among adults17.2%14.4–20.3
Self-care disability among adults4.8%4.0–5.6
Vision disability among adults5.9%5.0–6.9
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)WA median (p10–p90)
Poverty rate19.5%10.6% (3.1–25.8%) n=32,3649.6% (3.5–22.3%) n=583
Uninsured 18–640.0%9.0% (1.5–24.3%) n=32,2868.2% (1.8–22.7%) n=582
No HS diploma (25+)7.0%7.9% (1.8–20.7%) n=32,5057.0% (1.5–16.5%) n=588
Bachelor's or higher (25+)17.7%23.3% (9.2–53.6%) n=32,50527.4% (12.3–59.7%) n=588
Unemployment rate (16+)9.2%3.9% (0.0–9.8%) n=32,2744.5% (0.0–9.7%) n=584
Households without a vehicle0.7%3.9% (0.0–12.5%) n=32,3223.7% (0.0–10.2%) n=580
Broadband subscription96.0%89.3% (75.1–97.1%) n=32,32292.7% (81.1–97.4%) n=580
Housing cost burden (≥30% income)20.0%23.7% (10.6–40.0%) n=32,32228.9% (14.6–40.6%) n=580
Homeownership rate76.7%78.7% (51.7–94.0%) n=32,32275.2% (48.2–91.7%) n=580
Crowded housing (>1 per room)0.0%1.3% (0.0–6.3%) n=32,3222.6% (0.0–7.9%) n=580
Foreign-born population0.3%2.6% (0.0–18.6%) n=32,5536.7% (0.3–27.6%) n=588
Single-parent households58.5%53.6% (37.3–74.1%) n=32,08754.3% (40.5–76.0%) n=574
Population 65+23.6%19.4% (10.8–33.6%) n=32,55318.9% (10.3–36.9%) n=588
Median age46.3 yr42.2 yr (33.0–56.3) n=32,29241.0 yr (32.9–58.8) n=584
Median household income$77,500$72,070 ($46,039–$118,707) n=30,318$84,646 ($56,217–$132,145) n=547
Median home value$217,500$222,200 ($100,300–$579,820) n=30,049$452,750 ($241,540–$826,380) n=542
Median gross rent$281$1,021 ($677–$1,912) n=25,670$1,416 ($840–$2,197) n=476
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)WA median (p10–p90)
Life expectancy at birth81.0 yr ± 2.2478.9 yr (74.7–82.8) n=31,30880.2 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 2.24 years of 81.0, and it’s very unlikely to be off by more than twice that.

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