ZIP code
98208
in Everett, WashingtonPopulation 60,915
57.53/ 100
Ranked #6,773 of 32,066 US ZIPs (top 21%)
Ranked #165 of 581 Washington ZIPs (top 28%)
Ranked #98 of 166 Seattle-Tacoma-Bellevue, WA ZIPs (bottom 41%)
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.
Subsidized affordable housing
1,641 units
in the top 0.5% nationally
Higher is healthier
ST98thUS99thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Humid extreme heat
2.5 days/year
in the bottom 1.5% nationally
Lower is healthier
ST5thUS1stDefinition & 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 5.1% nationally
Lower is healthier
ST81stUS95thDefinition & 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 ›Lead in tap water
7.1 ppb
in the top 5.9% nationally
Lower is healthier
US94thDefinition & source ›
The lead level at the 90th percentile of tap-water samples reported by the public water systems serving this ZIP, in parts per billion — the EPA requires action above 15 ppb.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›Energy-cost burden
1.4%
in the bottom 3.4% nationally
Lower is healthier
ST17thUS3rdDefinition & 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 ›Air-toxics cancer risk
39.3 per million
in the top 7.2% nationally
Lower is healthier
ST93rdUS93rdDefinition & source ›
The EPA’s modeled estimate of added lifetime cancer risk from breathing outdoor air toxics, in cases per million people exposed over a lifetime.
Full methodology ›Loud transportation noise
1.7%
in the top 9.2% nationally
Lower is healthier
ST92ndUS91stDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 65 decibels — around the volume of normal conversation.
Full methodology ›Coronary heart disease
4.8%
in the bottom 7.8% nationally
Lower is healthier
ST17thUS8thDefinition & 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%
in the bottom 8.3% nationally
Lower is healthier
ST18thUS8thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Floodplain exposure
26.8%
in the top 11.9% nationally
Lower is healthier
ST93rdUS88thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
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
ZIP 98208, one of several in Everett, Washington, by its composite score, sits in the top 21% healthiest ZIPs nationally (6,773rd) and the top 28% of Washington (165th).
The data opens on a genuinely even set of readings: subsidized affordable housing rests in the top 0.5% nationally, and modeled humid heat resides in the bottom 1.5% nationally. Modeled energy burden is in the bottom 3.4% nationally, and coronary heart disease lands in the bottom 7.8% nationally. Dental providers stands in the top 10.4% nationally, and modeled high blood pressure registers in the bottom 8.3% nationally. On the other side, modeled expected annual loss settles in the top 5.1% nationally, lead in tap water sits in the top 5.9% nationally, and modeled air-toxics cancer risk lies in the top 7.2% nationally. Modeled loud transportation noise rests in the top 9.2% nationally.
Next to the surrounding area, subsidized affordable housing 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. Lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. For a healthier comparison close by, see ZIP 98012, 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.
Lifting this score
Chronic Disease Burden
healthier than 85%
21%
Social Need / SDOH
healthier than 95%
16%
Risk Behavior
healthier than 83%
11%
Disability
healthier than 82%
7%
Healthcare Access
healthier than 83%
5%
About typical
Climate / Disaster Risk
healthier than 42%
5%
Holding it back
Environmental Hazard
healthier than 27%
14%
Preventive Care
healthier than 18%
13%
Mental Health
healthier than 35%
8%
Lifting this score
Chronic Disease Burden
healthier than 71%
21%
Social Need / SDOH
healthier than 85%
16%
Disability
healthier than 71%
7%
Healthcare Access
healthier than 73%
5%
About typical
Risk Behavior
healthier than 46%
11%
Mental Health
healthier than 51%
8%
Holding it back
Environmental Hazard
healthier than 28%
14%
Preventive Care
healthier than 31%
13%
Climate / Disaster Risk
healthier than 8%
5%
Lifting this score
Social Need / SDOH
healthier than 70%
16%
Healthcare Access
healthier than 61%
5%
About typical
Chronic Disease Burden
healthier than 42%
21%
Mental Health
healthier than 44%
8%
Disability
healthier than 42%
7%
Holding it back
Environmental Hazard
healthier than 28%
14%
Preventive Care
healthier than 30%
13%
Risk Behavior
healthier than 36%
11%
Climate / Disaster Risk
healthier than 7%
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
4 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 79.2 ± 0.9 years. A median household income of $103,705 predicts 80.2 years — 1.1 years below.
Ranked #1,486 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 79.2 ± 0.9 years. The 49 nearest ZIP codes with estimates average 81.4 years — 2.2 years below them.
Ranked #1,717 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 27.3; chronic-disease standing 85.0 — 58 points apart, heavier on the environment than it is on chronic illness.
Ranked #15,190 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Highest-risk tenth
Air toxics and the years between the two ends of the risk scale
Modeled air-toxics cancer risk is 39.3 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 79.2 ± 0.9 years.
Ranked #1,574 of the 4,173 ZIP codes this finding names, ordered by modeled air-toxics risk, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
98012
Washingtonshares a border
Score 66.96
Closest healthier
98087
Washingtonshares a border
Score 60.54
Similar health profile
72730
Arkansas98% similar profile
Score 56.07
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 | 23.2% | 21.6–24.8 |
| High blood pressure among adults | 29.0% | 27.1–30.9 |
| Cancer (non-skin) or melanoma among adults | 7.1% | 6.6–7.7 |
| Current asthma among adults | 11.5% | 10.5–12.5 |
| Coronary heart disease among adults | 4.8% | 4.4–5.2 |
| Chronic obstructive pulmonary disease among adults | 4.9% | 4.5–5.4 |
| Depression among adults | 25.7% | 23.7–27.8 |
| Diagnosed diabetes among adults | 9.2% | 8.3–10.1 |
| High cholesterol among adults who have ever been screened | 34.8% | 32.7–36.9 |
| Obesity among adults | 31.1% | 28.2–34.0 |
| Stroke among adults | 2.7% | 2.5–2.9 |
| All teeth lost among adults aged >=65 years | 10.1% | 8.5–11.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.4% | 7.4–9.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 69.8% | 67.4–72.1 |
| Visits to doctor for routine checkup within the past year among adults | 71.2% | 68.8–73.3 |
| Cholesterol screening among adults | 83.7% | 82.1–85.0 |
| Colorectal cancer screening among adults aged 45–75 years | 64.2% | 61.4–66.9 |
| Visited dentist or dental clinic in the past year among adults | 64.6% | 62.3–66.9 |
| Mammography use among women aged 50-74 years | 71.9% | 67.6–75.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.2% | 14.5–17.8 |
| Current cigarette smoking among adults | 10.6% | 9.5–11.8 |
| No leisure-time physical activity among adults | 18.6% | 16.8–20.4 |
| Short sleep duration among adults | 34.8% | 32.1–37.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.3% | 14.9–17.8 |
| Frequent mental distress among adults | 16.6% | 15.3–18.0 |
| Frequent physical distress among adults | 12.5% | 11.4–13.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.6% | 12.4–14.8 |
| Any disability among adults | 26.6% | 24.7–28.6 |
| Hearing disability among adults | 5.9% | 5.3–6.4 |
| Independent living disability among adults | 6.8% | 6.2–7.5 |
| Mobility disability among adults | 10.8% | 9.8–11.8 |
| Self-care disability among adults | 3.1% | 2.9–3.3 |
| Vision disability among adults | 4.0% | 3.7–4.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 9.5% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 10.9% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 8.4% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 34.4% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 6.6% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 4.7% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 96.9% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 36.3% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 69.5% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 5.0% | 1.3% (0.0–6.3%) n=32,322 | 2.6% (0.0–7.9%) n=580 |
| Foreign-born population | 27.5% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 45.4% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 14.2% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 37.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $103,705 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $691,500 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | $1,968 | $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 | 79.2 yr ± 0.46 | 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 0.46 years of 79.2, 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