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ZipVitals

ZIP code

98321

in Buckley, WashingtonPopulation 18,150

53.40/ 100

Ranked #11,496 of 32,066 US ZIPs (top 36%)

Ranked #297 of 581 Washington ZIPs (bottom 49%)

Ranked #134 of 166 Seattle-Tacoma-Bellevue, WA ZIPs (bottom 19%)

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

Robust across all 9 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.

Natural-disaster risk

in the top 2.1% nationally

Lower is healthier

ST92nd
US98th
Definition & 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 ›

Humid extreme heat

5.4 days/year

in the bottom 3.3% nationally

Lower is healthier

ST25th
US3rd
Definition & 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 ›

Median household income

$127,411

in the top 7.6% nationally

Higher is healthier

ST88th
US92nd
Definition & source ›

The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.

Full methodology ›

Expected annual disaster loss

$0

in the top 7.9% nationally

Lower is healthier

ST76th
US92nd
Definition & source ›

FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.

Full methodology ›

Energy-cost burden

1.6%

in the bottom 6.7% nationally

Lower is healthier

ST29th
US7th
Definition & source ›

The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.

A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.

Full methodology ›

Outer-floodplain exposure

1.9%

in the top 15% nationally

Lower is healthier

ST91st
US85th
Definition & source ›

The share of this ZIP’s land area inside FEMA’s 0.2%-annual-chance flood band — the “500-year” zone, a lower but real 1-in-500 yearly chance.

Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.

Full methodology ›

The read

In overall standing, Buckley, Washington (ZIP 98321) comes out in the top 36% healthiest ZIPs nationally (11,496th) and the bottom 49% of Washington (297th).

continue reading

The measures fall on both sides of the ledger for this area: modeled humid heat registers in the bottom 3.3% nationally, household income stands in the top 7.6% nationally, and modeled energy burden lands in the bottom 6.7% nationally. Homeownership is in the top 16% nationally, modeled tooth loss resides in the bottom 14.6% nationally, and poverty rests in the bottom 18% nationally. Modeled coronary heart disease lies in the bottom 20% nationally. Set against that, modeled disaster risk sits in the top 2.1% nationally, and expected annual loss settles in the top 7.9% nationally. Outer-floodplain exposure registers in the top 15% nationally.

Relative to the ZIPs around it, park land runs far lower than the surrounding ZIPs on this measure. In plain terms, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. The nearest healthier ZIP overall is ZIP 98022, 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 Seattle-Tacoma-Bellevue, WA metro area.

Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.

Compare within

Lifting this score

Chronic Disease Burden

healthier than 69%

21%

Social Need / SDOH

healthier than 85%

16%

Environmental Hazard

healthier than 92%

14%

Risk Behavior

healthier than 67%

11%

Disability

healthier than 65%

7%

Climate / Disaster Risk

healthier than 84%

5%

Holding it back

Preventive Care

healthier than 24%

13%

Mental Health

healthier than 11%

8%

Healthcare Access

healthier than 38%

5%

Lifting this score

Social Need / SDOH

healthier than 64%

16%

Environmental Hazard

healthier than 83%

14%

About typical

Chronic Disease Burden

healthier than 46%

21%

Preventive Care

healthier than 42%

13%

Disability

healthier than 45%

7%

Climate / Disaster Risk

healthier than 51%

5%

Holding it back

Risk Behavior

healthier than 18%

11%

Mental Health

healthier than 10%

8%

Healthcare Access

healthier than 31%

5%

Lifting this score

Environmental Hazard

healthier than 96%

14%

About typical

Preventive Care

healthier than 45%

13%

Climate / Disaster Risk

healthier than 41%

5%

Holding it back

Chronic Disease Burden

healthier than 17%

21%

Social Need / SDOH

healthier than 35%

16%

Risk Behavior

healthier than 16%

11%

Mental Health

healthier than 8%

8%

Disability

healthier than 22%

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 ›

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.

  • Below what income predicts

    The ZIP codes that outlive their incomes

    Estimated life expectancy is 77.7 ± 1.6 years. A median household income of $127,411 predicts 81.0 years — 3.4 years below.

    Ranked #4,552 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.

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 adults28.7%26.7–30.4
High blood pressure among adults33.5%31.3–35.5
Cancer (non-skin) or melanoma among adults8.6%7.9–9.3
Current asthma among adults11.3%10.2–12.3
Coronary heart disease among adults5.8%5.2–6.3
Chronic obstructive pulmonary disease among adults6.0%5.4–6.7
Depression among adults28.7%26.3–30.8
Diagnosed diabetes among adults10.5%9.4–11.5
High cholesterol among adults who have ever been screened37.0%34.7–39.2
Obesity among adults37.6%34.3–40.7
Stroke among adults3.1%2.9–3.4
All teeth lost among adults aged >=65 years8.3%7.0–9.7
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years7.3%6.3–8.4
Taking medicine to control high blood pressure among adults with high blood pressure71.2%68.7–73.5
Visits to doctor for routine checkup within the past year among adults70.8%68.5–73.1
Cholesterol screening among adults84.0%82.5–85.5
Colorectal cancer screening among adults aged 45–75 years66.6%63.8–69.2
Visited dentist or dental clinic in the past year among adults66.7%64.5–68.9
Mammography use among women aged 50-74 years72.9%68.6–76.9
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults17.7%15.9–19.6
Current cigarette smoking among adults12.8%11.4–14.3
No leisure-time physical activity among adults18.5%16.5–20.5
Short sleep duration among adults36.1%33.3–38.8
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults17.2%15.7–18.9
Frequent mental distress among adults18.8%17.2–20.3
Frequent physical distress among adults14.6%13.3–15.9
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults16.0%14.6–17.5
Any disability among adults31.7%29.3–34.0
Hearing disability among adults7.2%6.5–7.9
Independent living disability among adults7.7%7.0–8.5
Mobility disability among adults12.6%11.4–13.9
Self-care disability among adults3.4%3.1–3.7
Vision disability among adults4.1%3.8–4.5
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)WA median (p10–p90)
Poverty rate4.7%10.6% (3.1–25.8%) n=32,3649.6% (3.5–22.3%) n=583
Uninsured 18–645.0%9.0% (1.5–24.3%) n=32,2868.2% (1.8–22.7%) n=582
No HS diploma (25+)5.8%7.9% (1.8–20.7%) n=32,5057.0% (1.5–16.5%) n=588
Bachelor's or higher (25+)22.1%23.3% (9.2–53.6%) n=32,50527.4% (12.3–59.7%) n=588
Unemployment rate (16+)4.1%3.9% (0.0–9.8%) n=32,2744.5% (0.0–9.7%) n=584
Households without a vehicle1.3%3.9% (0.0–12.5%) n=32,3223.7% (0.0–10.2%) n=580
Broadband subscription92.3%89.3% (75.1–97.1%) n=32,32292.7% (81.1–97.4%) n=580
Housing cost burden (≥30% income)26.1%23.7% (10.6–40.0%) n=32,32228.9% (14.6–40.6%) n=580
Homeownership rate90.7%78.7% (51.7–94.0%) n=32,32275.2% (48.2–91.7%) n=580
Crowded housing (>1 per room)0.5%1.3% (0.0–6.3%) n=32,3222.6% (0.0–7.9%) n=580
Foreign-born population3.0%2.6% (0.0–18.6%) n=32,5536.7% (0.3–27.6%) n=588
Single-parent households54.6%53.6% (37.3–74.1%) n=32,08754.3% (40.5–76.0%) n=574
Population 65+15.2%19.4% (10.8–33.6%) n=32,55318.9% (10.3–36.9%) n=588
Median age41.2 yr42.2 yr (33.0–56.3) n=32,29241.0 yr (32.9–58.8) n=584
Median household income$127,411$72,070 ($46,039–$118,707) n=30,318$84,646 ($56,217–$132,145) n=547
Median home value$571,200$222,200 ($100,300–$579,820) n=30,049$452,750 ($241,540–$826,380) n=542
Median gross rent$1,760$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 birth77.7 yr ± 0.8178.9 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 0.81 years of 77.7, 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