ZIP code
98036
in Lynnwood, WashingtonPopulation 42,370
61.05/ 100
Ranked #4,101 of 32,066 US ZIPs (top 12.8%)
Ranked #95 of 581 Washington ZIPs (top 16%)
Ranked #75 of 166 Seattle-Tacoma-Bellevue, WA ZIPs (top 45%)
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
1,985 units
in the top 0.3% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Lead in tap water
28 ppb
in the top 0.4% nationally
Lower is healthier
US99thDefinition & 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 ›Expected annual disaster loss
$0
in the top 2.2% nationally
Lower is healthier
ST92ndUS98thDefinition & 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 ›Humid extreme heat
4.7 days/year
in the bottom 2.9% nationally
Lower is healthier
ST18thUS3rdDefinition & 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 ›Dental provider access
1.3 per 1,000 residents
in the top 3.5% nationally
Higher is healthier
ST96thUS97thDefinition & source ›
The number of dental offices located 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 ›Air-toxics cancer risk
40 per million
in the top 4.5% nationally
Lower is healthier
ST96thUS96thDefinition & 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 ›Energy-cost burden
1.3%
in the bottom 2.5% nationally
Lower is healthier
ST14thUS2ndDefinition & 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 ›Mental-health provider access
0.14 per 1,000 residents
in the top 7.1% nationally
Higher is healthier
ST94thUS93rdDefinition & source ›
The number of mental-health clinics located 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 ›Transit access
3.4 per 1,000 residents
in the top 8.9% nationally
Higher is healthier
ST82ndUS91stDefinition & 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 ›Walkability
110 intersections/sq mi
in the top 8.9% nationally
Higher is healthier
ST89thUS91stDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›The read
In its overall standing, ZIP 98036, one of several in Lynnwood, Washington lands in the top 12.8% healthiest ZIPs nationally (4,101st) and the top 16% of Washington (95th).
Reading the numbers as a whole, the picture lands somewhere in between: subsidized affordable housing lands in the top 0.3% nationally, modeled humid heat lies in the bottom 2.9% nationally, and dental providers stands in the top 3.5% nationally. Modeled energy burden rests in the bottom 2.5% nationally, mental-health providers registers in the top 7.1% nationally, and transit resides in the top 8.9% nationally. Walkability settles in the top 8.9% nationally. On the other side, lead in tap water is in the top 0.4% nationally, and modeled expected annual loss sits in the top 2.2% nationally. Modeled air-toxics cancer risk lands in the top 4.5% nationally.
Against the wider neighborhood, subsidized affordable housing runs far higher than the surrounding ZIPs on this measure. Put simply, lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. On the overall standing, ZIP 98012, just across the boundary, ranks healthier.
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 84%
21%
Social Need / SDOH
in the top 0.8%
16%
Risk Behavior
healthier than 87%
11%
Disability
healthier than 83%
7%
Climate / Disaster Risk
healthier than 97%
5%
Healthcare Access
healthier than 93%
5%
About typical
Mental Health
healthier than 49%
8%
Holding it back
Environmental Hazard
healthier than 31%
14%
Preventive Care
healthier than 25%
13%
Lifting this score
Chronic Disease Burden
healthier than 71%
21%
Social Need / SDOH
healthier than 96%
16%
Mental Health
healthier than 70%
8%
Disability
healthier than 73%
7%
Climate / Disaster Risk
healthier than 85%
5%
Healthcare Access
healthier than 92%
5%
About typical
Preventive Care
healthier than 43%
13%
Risk Behavior
healthier than 59%
11%
Holding it back
Environmental Hazard
healthier than 32%
14%
Lifting this score
Social Need / SDOH
healthier than 91%
16%
Mental Health
healthier than 63%
8%
Climate / Disaster Risk
healthier than 72%
5%
Healthcare Access
healthier than 91%
5%
About typical
Chronic Disease Burden
healthier than 41%
21%
Preventive Care
healthier than 47%
13%
Risk Behavior
healthier than 48%
11%
Disability
healthier than 46%
7%
Holding it back
Environmental Hazard
healthier than 33%
14%
“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
3 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.
Above what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 80.8 ± 1.1 years. A median household income of $88,958 predicts 79.6 years — 1.2 years above.
Ranked #1,391 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 31.1; chronic-disease standing 84.3 — 53 points apart, heavier on the environment than it is on chronic illness.
Ranked #14,717 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 40.0 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 80.8 ± 1.1 years.
Ranked #504 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
98021
Washingtonshares a border
Score 68.46
Similar health profile
98383
Washington98% similar profile
Score 61.24
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 | 23.5% | 22.0–25.1 |
| High blood pressure among adults | 29.8% | 27.9–31.7 |
| Cancer (non-skin) or melanoma among adults | 7.3% | 6.7–7.8 |
| Current asthma among adults | 11.2% | 10.2–12.2 |
| Coronary heart disease among adults | 5.0% | 4.6–5.4 |
| Chronic obstructive pulmonary disease among adults | 4.9% | 4.4–5.3 |
| Depression among adults | 24.6% | 22.7–26.6 |
| Diagnosed diabetes among adults | 9.6% | 8.8–10.6 |
| High cholesterol among adults who have ever been screened | 35.5% | 33.4–37.6 |
| Obesity among adults | 30.4% | 27.7–33.3 |
| Stroke among adults | 2.8% | 2.6–3.0 |
| All teeth lost among adults aged >=65 years | 9.9% | 8.4–11.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.0% | 7.1–9.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 71.1% | 68.8–73.3 |
| Visits to doctor for routine checkup within the past year among adults | 72.1% | 69.8–74.3 |
| Cholesterol screening among adults | 84.5% | 83.0–85.8 |
| Colorectal cancer screening among adults aged 45–75 years | 65.8% | 63.1–68.4 |
| Visited dentist or dental clinic in the past year among adults | 64.9% | 62.6–67.2 |
| Mammography use among women aged 50-74 years | 73.2% | 69.2–77.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.4% | 13.8–17.0 |
| Current cigarette smoking among adults | 10.0% | 9.0–11.1 |
| No leisure-time physical activity among adults | 18.6% | 16.9–20.4 |
| Short sleep duration among adults | 34.7% | 32.1–37.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.1% | 14.8–17.5 |
| Frequent mental distress among adults | 15.8% | 14.6–17.1 |
| Frequent physical distress among adults | 12.2% | 11.2–13.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.8% | 11.8–14.0 |
| Any disability among adults | 26.2% | 24.3–28.3 |
| Hearing disability among adults | 6.0% | 5.5–6.6 |
| Independent living disability among adults | 6.6% | 6.0–7.2 |
| Mobility disability among adults | 11.0% | 10.0–12.0 |
| Self-care disability among adults | 3.1% | 2.8–3.3 |
| Vision disability among adults | 4.0% | 3.7–4.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 8.9% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 8.2% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 7.2% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 40.4% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 4.8% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 9.5% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 94.3% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 40.8% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 59.7% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 3.3% | 1.3% (0.0–6.3%) n=32,322 | 2.6% (0.0–7.9%) n=580 |
| Foreign-born population | 24.7% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 46.5% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 17.2% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 39.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $88,958 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $759,900 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | $1,779 | $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 | 80.8 yr ± 0.56 | 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 0.56 years of 80.8, 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