ZIP code
98270
in Marysville, WashingtonPopulation 55,049
56.05/ 100
Ranked #8,216 of 32,066 US ZIPs (top 26%)
Ranked #197 of 581 Washington ZIPs (top 34%)
Ranked #104 of 166 Seattle-Tacoma-Bellevue, WA ZIPs (bottom 37%)
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.
Humid extreme heat
3.3 days/year
in the bottom 2.0% nationally
Lower is healthier
ST8thUS2ndDefinition & 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 2.7% nationally
Lower is healthier
ST89thUS97thDefinition & 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 ›Subsidized affordable housing
704 units
in the top 2.7% nationally
Higher is healthier
ST91stUS97thDefinition & 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
1.7%
in the bottom 7.5% nationally
Lower is healthier
ST31stUS7thDefinition & 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
5.0%
in the bottom 9.7% nationally
Lower is healthier
ST20thUS10thDefinition & 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
ST21stUS10thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Fiber broadband
79.8%
in the top 24% nationally
Higher is healthier
ST92ndUS76thDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›The read
By its overall health score, ZIP 98270, one of several in Marysville, Washington lands in the top 26% healthiest ZIPs nationally (8,216th) and the top 34% of Washington (197th).
Neither strongly one way nor the other, the measures sit mixed: modeled humid heat stands in the bottom 2.0% nationally, and subsidized affordable housing settles in the top 2.7% nationally. Modeled extreme heat lies at the national minimum, shared with about 19% of ZIPs. Modeled energy burden resides in the bottom 7.5% nationally, and fatal road crashes lands in the bottom 10.3% nationally. Distance to a community health center registers at the national minimum, shared with about 23% of ZIPs. Modeled coronary heart disease sits in the bottom 9.7% nationally, modeled high blood pressure rests in the bottom 9.6% nationally, and walkability is in the top 12.8% nationally. Against that, modeled expected annual loss stands in the top 2.7% nationally.
Weighed against the ZIPs nearby, park land runs far higher than the surrounding ZIPs on this measure. To translate a couple of terms, 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. Subsidized affordable housing is the main federal tax-credit program (HUD) funding affordable rental housing, counted as local units it supports. Overall, the nearest healthier neighbor is ZIP 98258, 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 81%
21%
Social Need / SDOH
healthier than 88%
16%
Environmental Hazard
healthier than 73%
14%
Risk Behavior
healthier than 76%
11%
Disability
healthier than 74%
7%
Climate / Disaster Risk
healthier than 85%
5%
Healthcare Access
healthier than 85%
5%
Holding it back
Preventive Care
healthier than 15%
13%
Mental Health
healthier than 20%
8%
Lifting this score
Chronic Disease Burden
healthier than 65%
21%
Social Need / SDOH
healthier than 71%
16%
Environmental Hazard
healthier than 67%
14%
Healthcare Access
healthier than 76%
5%
About typical
Disability
healthier than 58%
7%
Climate / Disaster Risk
healthier than 51%
5%
Holding it back
Preventive Care
healthier than 24%
13%
Risk Behavior
healthier than 30%
11%
Mental Health
healthier than 28%
8%
Lifting this score
Environmental Hazard
healthier than 80%
14%
Healthcare Access
healthier than 65%
5%
About typical
Social Need / SDOH
healthier than 42%
16%
Climate / Disaster Risk
healthier than 42%
5%
Holding it back
Chronic Disease Burden
healthier than 34%
21%
Preventive Care
healthier than 23%
13%
Risk Behavior
healthier than 27%
11%
Mental Health
healthier than 28%
8%
Disability
healthier than 31%
7%
“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 78.3 ± 1.0 years. A median household income of $108,147 predicts 80.4 years — 2.1 years below.
Ranked #2,730 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 78.3 ± 1.0 years. The 50 nearest ZIP codes with estimates average 80.7 years — 2.4 years below them.
Ranked #1,845 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.
Nearby
98201
Washingtonshares a border
Score 52.53
Closest healthier
98258
Washingtonshares a border
Score 58.53
Similar health profile
98312
Washington99% similar profile
Score 54.76
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 | 24.2% | 22.6–25.9 |
| High blood pressure among adults | 29.5% | 27.6–31.3 |
| Cancer (non-skin) or melanoma among adults | 7.4% | 6.8–7.9 |
| Current asthma among adults | 11.9% | 10.9–13.0 |
| Coronary heart disease among adults | 5.0% | 4.6–5.5 |
| Chronic obstructive pulmonary disease among adults | 5.4% | 4.9–6.0 |
| Depression among adults | 27.2% | 25.0–29.3 |
| Diagnosed diabetes among adults | 9.2% | 8.3–10.2 |
| High cholesterol among adults who have ever been screened | 34.6% | 32.5–36.7 |
| Obesity among adults | 32.6% | 29.6–35.6 |
| Stroke among adults | 2.9% | 2.7–3.1 |
| All teeth lost among adults aged >=65 years | 10.8% | 9.1–12.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.8% | 7.8–9.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 69.7% | 67.3–71.9 |
| Visits to doctor for routine checkup within the past year among adults | 70.6% | 68.3–72.9 |
| Cholesterol screening among adults | 83.0% | 81.5–84.5 |
| Colorectal cancer screening among adults aged 45–75 years | 63.9% | 61.1–66.6 |
| Visited dentist or dental clinic in the past year among adults | 63.8% | 61.4–66.1 |
| Mammography use among women aged 50-74 years | 71.3% | 66.9–75.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.8% | 15.1–18.6 |
| Current cigarette smoking among adults | 11.7% | 10.4–13.0 |
| No leisure-time physical activity among adults | 19.2% | 17.3–21.2 |
| Short sleep duration among adults | 35.3% | 32.6–38.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.1% | 15.7–18.6 |
| Frequent mental distress among adults | 17.7% | 16.3–19.2 |
| Frequent physical distress among adults | 13.3% | 12.2–14.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.6% | 13.4–15.9 |
| Any disability among adults | 28.3% | 26.2–30.4 |
| Hearing disability among adults | 6.2% | 5.7–6.8 |
| Independent living disability among adults | 7.4% | 6.7–8.1 |
| Mobility disability among adults | 11.6% | 10.5–12.7 |
| Self-care disability among adults | 3.3% | 3.0–3.6 |
| Vision disability among adults | 4.2% | 3.9–4.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 7.6% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 9.6% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 7.6% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 25.1% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 4.3% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 5.5% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 94.2% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 33.2% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 70.6% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 4.2% | 1.3% (0.0–6.3%) n=32,322 | 2.6% (0.0–7.9%) n=580 |
| Foreign-born population | 16.5% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 48.5% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 13.8% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 38.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $108,147 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $579,900 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | $1,918 | $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 | 78.3 yr ± 0.49 | 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 0.49 years of 78.3, 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