ZIP code
98039
in Medina, WashingtonPopulation 2,928
73.82/ 100
Ranked #105 of 32,066 US ZIPs (top 0.4%)
Ranked #5 of 581 Washington ZIPs (top 0.9%)
Ranked #5 of 166 Seattle-Tacoma-Bellevue, WA ZIPs (top 3.1%)
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.
Median household income
$250,001
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Obesity
19.3%
in the bottom 0.8% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Short sleep
25.1%
in the bottom 0.4% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Cognitive disability
7.5%
in the bottom 0.3% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Mental-health provider access
0.34 per 1,000 residents
in the top 1.6% nationally
Higher is healthier
ST99thUS98thDefinition & 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 ›Fatal road crashes
0 per 100,000 residents per year
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
Full methodology ›Independent-living disability
3.8%
in the bottom 0.2% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.
Full methodology ›Fair or poor health
9.5%
in the bottom 0.5% nationally
Lower is healthier
ST3rdUS1stDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Mobility disability
6.7%
in the bottom 1.7% nationally
Lower is healthier
ST6thUS2ndDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Tooth loss
2.2%
in the bottom 0.02% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›The read
By the composite measure, Medina, Washington (ZIP 98039) sits in the top 0.4% healthiest ZIPs nationally (105th) and the top 0.9% of Washington (5th).
Where the data leans one way, another reading answers it: household income is at the national maximum, modeled obesity rests in the bottom 0.8% nationally, and modeled short sleep sits in the bottom 0.4% nationally. Modeled cognitive disability registers in the bottom 0.3% nationally, mental-health providers lands in the top 1.6% nationally, and fatal road crashes resides at the national minimum. Modeled independent living disability lies in the bottom 0.2% nationally, and fair or poor health settles in the bottom 0.5% nationally. Modeled mobility disability stands in the bottom 1.7% nationally, and tooth loss is in the bottom 0.02% nationally.
Compared with the ZIPs that surround it, park land runs far lower than the surrounding ZIPs on this measure. ZIP 98004, just across the boundary, ranks healthier overall.
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 95%
21%
Social Need / SDOH
healthier than 93%
16%
Preventive Care
healthier than 87%
13%
Risk Behavior
in the top 0.06%
11%
Mental Health
healthier than 94%
8%
Disability
in the top 0.6%
7%
Climate / Disaster Risk
healthier than 99%
5%
Healthcare Access
healthier than 66%
5%
Holding it back
Environmental Hazard
healthier than 32%
14%
Lifting this score
Chronic Disease Burden
healthier than 86%
21%
Social Need / SDOH
healthier than 81%
16%
Preventive Care
healthier than 97%
13%
Risk Behavior
in the top 0.00%
11%
Mental Health
in the top 0.3%
8%
Disability
healthier than 96%
7%
Climate / Disaster Risk
healthier than 96%
5%
About typical
Healthcare Access
healthier than 51%
5%
Holding it back
Environmental Hazard
healthier than 33%
14%
Lifting this score
Chronic Disease Burden
healthier than 69%
21%
Preventive Care
healthier than 99%
13%
Risk Behavior
in the top 0.00%
11%
Mental Health
in the top 0.7%
8%
Disability
healthier than 89%
7%
Climate / Disaster Risk
healthier than 90%
5%
About typical
Social Need / SDOH
healthier than 60%
16%
Holding it back
Environmental Hazard
healthier than 34%
14%
Healthcare Access
healthier than 27%
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.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 31.9; chronic-disease standing 94.9 (top 10%) — 63 points apart, heavier on the environment than it is on chronic illness.
Ranked #15,699 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
98004
Washingtonshares a border
Score 74.67
Closest healthier
98007
Washingtonabout 2.6 mi away
Score 74.06
Similar health profile
94027
California99% similar profile
Score 73.25
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 | 23.0% | 21.4–24.7 |
| High blood pressure among adults | 29.5% | 27.6–31.4 |
| Cancer (non-skin) or melanoma among adults | 9.6% | 8.8–10.4 |
| Current asthma among adults | 9.0% | 8.3–9.9 |
| Coronary heart disease among adults | 4.5% | 4.0–5.1 |
| Chronic obstructive pulmonary disease among adults | 3.0% | 2.5–3.8 |
| Depression among adults | 21.0% | 19.4–22.8 |
| Diagnosed diabetes among adults | 7.7% | 6.9–8.7 |
| High cholesterol among adults who have ever been screened | 39.3% | 37.4–41.3 |
| Obesity among adults | 19.3% | 17.3–21.5 |
| Stroke among adults | 2.3% | 2.1–2.7 |
| All teeth lost among adults aged >=65 years | 2.2% | 1.9–2.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 3.2% | 2.5–4.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 74.4% | 72.1–76.6 |
| Visits to doctor for routine checkup within the past year among adults | 75.9% | 74.1–77.7 |
| Cholesterol screening among adults | 91.1% | 90.0–92.1 |
| Colorectal cancer screening among adults aged 45–75 years | 69.8% | 67.6–71.9 |
| Visited dentist or dental clinic in the past year among adults | 78.8% | 77.2–80.1 |
| Mammography use among women aged 50-74 years | 78.1% | 74.8–81.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.6% | 13.3–15.9 |
| Current cigarette smoking among adults | 4.5% | 3.4–5.8 |
| No leisure-time physical activity among adults | 10.9% | 9.3–12.8 |
| Short sleep duration among adults | 25.1% | 23.2–27.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 9.5% | 8.2–11.3 |
| Frequent mental distress among adults | 11.0% | 9.9–12.3 |
| Frequent physical distress among adults | 8.6% | 7.6–9.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 7.5% | 6.5–8.8 |
| Any disability among adults | 17.8% | 15.8–20.1 |
| Hearing disability among adults | 5.1% | 4.5–5.7 |
| Independent living disability among adults | 3.8% | 3.2–4.5 |
| Mobility disability among adults | 6.7% | 5.7–8.1 |
| Self-care disability among adults | 1.9% | 1.6–2.3 |
| Vision disability among adults | 2.5% | 2.1–2.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 4.7% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 5.5% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 1.2% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 87.6% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 2.8% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 5.6% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 95.0% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 35.6% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 79.5% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 1.0% | 1.3% (0.0–6.3%) n=32,322 | 2.6% (0.0–7.9%) n=580 |
| Foreign-born population | 32.7% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 49.8% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 18.6% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 47.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $250,001 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $2,000,001 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | $3,501 | $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 | 86.8 yr ± 1.62 | 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 1.62 years of 86.8, 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