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ZipVitals

ZIP code

98203

in Everett, WashingtonPopulation 35,517

59.01/ 100

Ranked #5,591 of 32,066 US ZIPs (top 17%)

Ranked #133 of 581 Washington ZIPs (top 23%)

Ranked #88 of 166 Seattle-Tacoma-Bellevue, WA ZIPs (bottom 47%)

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.

Humid extreme heat

2.5 days/year

in the bottom 1.5% nationally

Lower is healthier

ST6th
US1st
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 ›

Expected annual disaster loss

$0

in the top 2.1% nationally

Lower is healthier

ST92nd
US98th
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 ›

Transit access

5.5 per 1,000 residents

in the top 4.3% nationally

Higher is healthier

ST94th
US96th
Definition & source ›

The number of public-transit stops 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 ›

Subsidized affordable housing

379 units

in the top 6.3% nationally

Higher is healthier

ST86th
US94th
Definition & source ›

The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.

Full methodology ›

Energy-cost burden

1.5%

in the bottom 4.8% nationally

Lower is healthier

ST22nd
US5th
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 ›

Coronary heart disease

4.9%

in the bottom 8.7% nationally

Lower is healthier

ST18th
US9th
Definition & source ›

The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.

Full methodology ›

High blood pressure

29.5%

in the bottom 9.6% nationally

Lower is healthier

ST21st
US10th
Definition & source ›

The estimated share of adults who have been told by a health professional that they have high blood pressure.

Full methodology ›

Diabetes

9.0%

in the bottom 8.8% nationally

Lower is healthier

ST19th
US9th
Definition & source ›

The estimated share of adults who have been diagnosed with diabetes.

Full methodology ›

Fiber broadband

81.3%

in the top 23% nationally

Higher is healthier

ST93rd
US77th
Definition & source ›

The share of homes where fiber-optic internet service is available.

Full methodology ›

The read

ZIP 98203, one of several in Everett, Washington, by its composite score, sits in the top 17% healthiest ZIPs nationally (5,591st) and the top 23% of Washington (133rd).

continue reading

The data opens on a genuinely even set of readings: modeled humid heat sits in the bottom 1.5% nationally, and transit lies in the top 4.3% nationally. Subsidized affordable housing rests in the top 6.3% nationally, and modeled energy burden resides in the bottom 4.8% nationally. Modeled coronary heart disease is in the bottom 8.7% nationally. Distance to a community health center lands at the national minimum, shared with about 23% of ZIPs. Modeled high blood pressure stands in the bottom 9.6% nationally, and diabetes registers in the bottom 8.8% nationally. On the other side, modeled expected annual loss settles in the top 2.1% nationally, and disaster risk sits in the top 11.4% nationally.

Next to the surrounding area, expected annual loss runs far higher than the surrounding ZIPs on this measure. For anyone unfamiliar, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. For a healthier comparison close by, see ZIP 98275, 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 84%

21%

Social Need / SDOH

healthier than 89%

16%

Risk Behavior

healthier than 84%

11%

Disability

healthier than 84%

7%

Climate / Disaster Risk

healthier than 84%

5%

Healthcare Access

healthier than 87%

5%

About typical

Environmental Hazard

healthier than 49%

14%

Holding it back

Preventive Care

healthier than 24%

13%

Mental Health

healthier than 39%

8%

Lifting this score

Chronic Disease Burden

healthier than 71%

21%

Social Need / SDOH

healthier than 73%

16%

Disability

healthier than 74%

7%

Healthcare Access

healthier than 79%

5%

About typical

Environmental Hazard

healthier than 49%

14%

Preventive Care

healthier than 41%

13%

Risk Behavior

healthier than 51%

11%

Mental Health

healthier than 56%

8%

Climate / Disaster Risk

healthier than 50%

5%

Nothing measured is holding this score back.

Lifting this score

Healthcare Access

healthier than 71%

5%

About typical

Chronic Disease Burden

healthier than 40%

21%

Social Need / SDOH

healthier than 45%

16%

Environmental Hazard

healthier than 55%

14%

Preventive Care

healthier than 44%

13%

Mental Health

healthier than 48%

8%

Disability

healthier than 48%

7%

Climate / Disaster Risk

healthier than 40%

5%

Holding it back

Risk Behavior

healthier than 40%

11%

“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

2 of our published findings list 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 78.1 ± 1.3 years. A median household income of $107,376 predicts 80.4 years — 2.3 years below.

    Ranked #3,092 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.

  • Below its nearby ZIPs

    The ZIP codes that outlive their neighbors

    Estimated life expectancy is 78.1 ± 1.3 years. The 50 nearest ZIP codes with estimates average 81.2 years — 3.1 years below them.

    Ranked #2,464 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, 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 adults24.0%22.3–25.7
High blood pressure among adults29.5%27.6–31.5
Cancer (non-skin) or melanoma among adults7.7%7.1–8.3
Current asthma among adults11.4%10.4–12.5
Coronary heart disease among adults4.9%4.4–5.4
Chronic obstructive pulmonary disease among adults4.9%4.4–5.4
Depression among adults25.7%23.6–27.8
Diagnosed diabetes among adults9.0%8.1–10.0
High cholesterol among adults who have ever been screened35.2%33.1–37.3
Obesity among adults31.4%28.6–34.4
Stroke among adults2.7%2.5–3.0
All teeth lost among adults aged >=65 years10.2%8.6–11.9
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years8.1%7.1–9.1
Taking medicine to control high blood pressure among adults with high blood pressure70.6%68.2–72.8
Visits to doctor for routine checkup within the past year among adults71.6%69.3–73.7
Cholesterol screening among adults84.5%83.2–85.9
Colorectal cancer screening among adults aged 45–75 years66.0%63.3–68.6
Visited dentist or dental clinic in the past year among adults65.4%63.1–67.7
Mammography use among women aged 50-74 years73.2%68.9–77.1
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults16.6%14.9–18.3
Current cigarette smoking among adults10.2%9.0–11.5
No leisure-time physical activity among adults17.7%15.9–19.7
Short sleep duration among adults34.4%31.7–37.1
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults15.7%14.2–17.3
Frequent mental distress among adults16.2%14.9–17.7
Frequent physical distress among adults12.4%11.2–13.6
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults13.1%11.9–14.4
Any disability among adults26.3%24.2–28.5
Hearing disability among adults6.0%5.5–6.6
Independent living disability among adults6.5%5.9–7.2
Mobility disability among adults10.7%9.6–11.9
Self-care disability among adults3.0%2.7–3.3
Vision disability among adults3.8%3.5–4.1
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)WA median (p10–p90)
Poverty rate8.4%10.6% (3.1–25.8%) n=32,3649.6% (3.5–22.3%) n=583
Uninsured 18–6410.6%9.0% (1.5–24.3%) n=32,2868.2% (1.8–22.7%) n=582
No HS diploma (25+)8.6%7.9% (1.8–20.7%) n=32,5057.0% (1.5–16.5%) n=588
Bachelor's or higher (25+)33.1%23.3% (9.2–53.6%) n=32,50527.4% (12.3–59.7%) n=588
Unemployment rate (16+)4.5%3.9% (0.0–9.8%) n=32,2744.5% (0.0–9.7%) n=584
Households without a vehicle5.1%3.9% (0.0–12.5%) n=32,3223.7% (0.0–10.2%) n=580
Broadband subscription91.7%89.3% (75.1–97.1%) n=32,32292.7% (81.1–97.4%) n=580
Housing cost burden (≥30% income)30.6%23.7% (10.6–40.0%) n=32,32228.9% (14.6–40.6%) n=580
Homeownership rate67.7%78.7% (51.7–94.0%) n=32,32275.2% (48.2–91.7%) n=580
Crowded housing (>1 per room)4.8%1.3% (0.0–6.3%) n=32,3222.6% (0.0–7.9%) n=580
Foreign-born population21.1%2.6% (0.0–18.6%) n=32,5536.7% (0.3–27.6%) n=588
Single-parent households48.6%53.6% (37.3–74.1%) n=32,08754.3% (40.5–76.0%) n=574
Population 65+16.5%19.4% (10.8–33.6%) n=32,55318.9% (10.3–36.9%) n=588
Median age40.6 yr42.2 yr (33.0–56.3) n=32,29241.0 yr (32.9–58.8) n=584
Median household income$107,376$72,070 ($46,039–$118,707) n=30,318$84,646 ($56,217–$132,145) n=547
Median home value$608,600$222,200 ($100,300–$579,820) n=30,049$452,750 ($241,540–$826,380) n=542
Median gross rent$1,823$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 birth78.1 yr ± 0.6678.9 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 0.66 years of 78.1, 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