ZIP code
98105
in Seattle, WashingtonPopulation 49,767
63.16/ 100
Ranked #2,890 of 32,066 US ZIPs (top 9.1%)
Ranked #66 of 581 Washington ZIPs (top 11.4%)
Ranked #63 of 166 Seattle-Tacoma-Bellevue, WA ZIPs (top 38%)
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.
High blood pressure
17.6%
in the bottom 1.0% nationally
Lower is healthier
ST2ndUS1stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›High cholesterol
24.7%
in the bottom 1.3% nationally
Lower is healthier
ST2ndUS1stDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Obesity
19.8%
in the bottom 0.9% nationally
Lower is healthier
ST2ndUS1stDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Diabetes
4.0%
in the bottom 1.0% nationally
Lower is healthier
ST2ndUS1stDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Coronary heart disease
2.3%
in the bottom 1.1% nationally
Lower is healthier
ST2ndUS1stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Expected annual disaster loss
$1
in the top 0.6% nationally
Lower is healthier
ST98thUS99thDefinition & 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 ›Mobility disability
4.6%
in the bottom 0.8% nationally
Lower is healthier
ST3rdUS1stDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Stroke
1.3%
in the bottom 1.1% nationally
Lower is healthier
ST2ndUS1stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Hearing disability
3.3%
in the bottom 1.1% nationally
Lower is healthier
ST3rdUS1stDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Natural-disaster risk
in the top 2.4% nationally
Lower is healthier
ST91stUS98thDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›The read
ZIP 98105, one of several in Seattle, Washington, overall, ranks in the top 9.1% healthiest ZIPs nationally (2,890th) and the top 11.4% of Washington (66th).
Reading the numbers as a whole, the picture lands somewhere in between: modeled high blood pressure resides in the bottom 1.0% nationally, high cholesterol settles in the bottom 1.3% nationally, and obesity is in the bottom 0.9% nationally. Modeled diabetes sits in the bottom 1.0% nationally, coronary heart disease lands in the bottom 1.1% nationally, and mobility disability lies in the bottom 0.8% nationally. Modeled stroke stands in the bottom 1.1% nationally, and hearing disability rests in the bottom 1.1% nationally. On the other side, modeled expected annual loss registers in the top 0.6% nationally, and disaster risk resides in the top 2.4% nationally.
Measured against the nearby ZIPs, expected annual loss runs far higher than the surrounding ZIPs on this measure. Defined simply, 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. ZIP 98039, just across the boundary, comes out 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
in the top 0.7%
21%
Social Need / SDOH
healthier than 72%
16%
Risk Behavior
healthier than 95%
11%
Disability
healthier than 94%
7%
Climate / Disaster Risk
healthier than 99%
5%
Healthcare Access
healthier than 81%
5%
Holding it back
Environmental Hazard
healthier than 17%
14%
Preventive Care
healthier than 7%
13%
Mental Health
healthier than 11%
8%
Lifting this score
Chronic Disease Burden
healthier than 98%
21%
Risk Behavior
healthier than 79%
11%
Disability
healthier than 85%
7%
Climate / Disaster Risk
healthier than 94%
5%
Healthcare Access
healthier than 70%
5%
Holding it back
Social Need / SDOH
healthier than 32%
16%
Environmental Hazard
healthier than 20%
14%
Preventive Care
healthier than 11%
13%
Mental Health
healthier than 12%
8%
Lifting this score
Chronic Disease Burden
healthier than 98%
21%
Risk Behavior
healthier than 66%
11%
Disability
healthier than 66%
7%
Climate / Disaster Risk
healthier than 86%
5%
About typical
Healthcare Access
healthier than 58%
5%
Holding it back
Social Need / SDOH
healthier than 8%
16%
Environmental Hazard
healthier than 20%
14%
Preventive Care
healthier than 9%
13%
Mental Health
healthier than 9%
8%
“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 17.2; chronic-disease standing 99.4 (top 1%) — 82 points apart, heavier on the environment than it is on chronic illness.
Ranked #17,352 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
98039
Washingtonshares a border
Score 73.82
Closest healthier
98102
Washingtonshares a border
Score 68.75
Similar health profile
80914
Colorado98% similar profile
Score 65.78
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 | 11.3% | 10.5–12.1 |
| High blood pressure among adults | 17.6% | 16.4–18.8 |
| Cancer (non-skin) or melanoma among adults | 3.8% | 3.5–4.1 |
| Current asthma among adults | 10.3% | 9.5–11.1 |
| Coronary heart disease among adults | 2.3% | 2.1–2.5 |
| Chronic obstructive pulmonary disease among adults | 2.5% | 2.3–2.8 |
| Depression among adults | 27.5% | 25.7–29.4 |
| Diagnosed diabetes among adults | 4.0% | 3.6–4.4 |
| High cholesterol among adults who have ever been screened | 24.7% | 23.3–26.1 |
| Obesity among adults | 19.8% | 17.9–21.7 |
| Stroke among adults | 1.3% | 1.2–1.4 |
| All teeth lost among adults aged >=65 years | 5.8% | 4.9–6.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.3% | 6.5–8.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 51.5% | 49.7–53.3 |
| Visits to doctor for routine checkup within the past year among adults | 64.1% | 61.8–66.4 |
| Cholesterol screening among adults | 72.9% | 71.0–74.8 |
| Colorectal cancer screening among adults aged 45–75 years | 66.9% | 64.7–69.1 |
| Visited dentist or dental clinic in the past year among adults | 62.9% | 61.0–64.8 |
| Mammography use among women aged 50-74 years | 77.6% | 74.3–80.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.9% | 17.3–20.5 |
| Current cigarette smoking among adults | 6.3% | 5.6–7.0 |
| No leisure-time physical activity among adults | 13.3% | 12.1–14.7 |
| Short sleep duration among adults | 30.2% | 28.0–32.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 12.3% | 11.3–13.4 |
| Frequent mental distress among adults | 19.4% | 18.0–20.9 |
| Frequent physical distress among adults | 8.5% | 7.8–9.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.8% | 14.6–17.1 |
| Any disability among adults | 22.9% | 21.1–24.6 |
| Hearing disability among adults | 3.3% | 3.0–3.7 |
| Independent living disability among adults | 6.9% | 6.3–7.6 |
| Mobility disability among adults | 4.6% | 4.2–5.0 |
| Self-care disability among adults | 1.9% | 1.7–2.0 |
| Vision disability among adults | 3.7% | 3.4–4.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 23.7% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 5.0% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 1.3% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 78.3% | 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 | 27.7% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 92.0% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 48.1% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 31.4% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 3.7% | 1.3% (0.0–6.3%) n=32,322 | 2.6% (0.0–7.9%) n=580 |
| Foreign-born population | 21.1% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 46.4% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 7.9% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 24.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $74,349 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $1,312,100 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | $1,849 | $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 unavailable for this ZIP — fewer than 80% of the census tracts that make it up could be matched across the 2010→2020 tract-boundary revision, so no value is published rather than an unreliable one. See how coverage gaps are handled. | |||
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