ZIP code
98117
in Seattle, WashingtonPopulation 35,711
69.97/ 100
Ranked #601 of 32,066 US ZIPs (top 1.9%)
Ranked #24 of 581 Washington ZIPs (top 4.2%)
Ranked #24 of 166 Seattle-Tacoma-Bellevue, WA ZIPs (top 14.5%)
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
$182,984
in the top 1.6% nationally
Higher is healthier
ST98thUS98thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Obesity
22.4%
in the bottom 2.4% nationally
Lower is healthier
ST5thUS2ndDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Mobility disability
5.6%
in the bottom 1.1% nationally
Lower is healthier
ST4thUS1stDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Diabetes
5.7%
in the bottom 1.5% nationally
Lower is healthier
ST4thUS1stDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Coronary heart disease
3.4%
in the bottom 2.0% nationally
Lower is healthier
ST5thUS2ndDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Fair or poor health
9.3%
in the bottom 0.4% nationally
Lower is healthier
ST2ndUS1stDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›High blood pressure
24.3%
in the bottom 2.4% nationally
Lower is healthier
ST5thUS2ndDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Short sleep
27.1%
in the bottom 1.7% nationally
Lower is healthier
ST6thUS2ndDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
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 ›Independent-living disability
4.1%
in the bottom 0.4% nationally
Lower is healthier
ST3rdUS1stDefinition & 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 ›The read
ZIP 98117, one of several in Seattle, Washington, by its composite score, sits in the top 1.9% healthiest ZIPs nationally (601st) and the top 4.2% of Washington (24th).
The data opens on a genuinely even set of readings: household income registers in the top 1.6% nationally, and modeled obesity settles in the bottom 2.4% nationally. Modeled mobility disability sits in the bottom 1.1% nationally, and diabetes lies in the bottom 1.5% nationally. Modeled coronary heart disease rests in the bottom 2.0% nationally, fair or poor health resides in the bottom 0.4% nationally, and high blood pressure is in the bottom 2.4% nationally. Modeled short sleep lands in the bottom 1.7% nationally, and independent living disability stands in the bottom 0.4% nationally. On the other side, modeled expected annual loss registers in the top 2.7% nationally.
Next to the surrounding area, park land runs far lower 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. For a healthier comparison close by, see ZIP 98103, 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 98%
21%
Social Need / SDOH
healthier than 96%
16%
Risk Behavior
healthier than 98%
11%
Disability
in the top 0.4%
7%
Healthcare Access
healthier than 85%
5%
About typical
Environmental Hazard
healthier than 53%
14%
Preventive Care
healthier than 57%
13%
Mental Health
healthier than 59%
8%
Climate / Disaster Risk
healthier than 56%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 93%
21%
Social Need / SDOH
healthier than 90%
16%
Preventive Care
healthier than 82%
13%
Risk Behavior
healthier than 88%
11%
Mental Health
healthier than 82%
8%
Disability
healthier than 97%
7%
Healthcare Access
healthier than 76%
5%
About typical
Environmental Hazard
healthier than 53%
14%
Holding it back
Climate / Disaster Risk
healthier than 18%
5%
Lifting this score
Chronic Disease Burden
healthier than 85%
21%
Social Need / SDOH
healthier than 80%
16%
Environmental Hazard
healthier than 61%
14%
Preventive Care
healthier than 86%
13%
Risk Behavior
healthier than 85%
11%
Mental Health
healthier than 76%
8%
Disability
healthier than 91%
7%
Healthcare Access
healthier than 66%
5%
Holding it back
Climate / Disaster Risk
healthier than 17%
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 ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
98103
Washingtonshares a border
Score 70.51
Closest healthier
98107
Washingtonshares a border
Score 72.08
Similar health profile
98296
Washington99% similar profile
Score 62.68
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 | 19.4% | 18.2–20.7 |
| High blood pressure among adults | 24.3% | 22.9–25.9 |
| Cancer (non-skin) or melanoma among adults | 7.6% | 7.1–8.2 |
| Current asthma among adults | 10.1% | 9.3–10.9 |
| Coronary heart disease among adults | 3.4% | 3.1–3.7 |
| Chronic obstructive pulmonary disease among adults | 2.8% | 2.5–3.2 |
| Depression among adults | 25.7% | 23.9–27.5 |
| Diagnosed diabetes among adults | 5.7% | 5.1–6.2 |
| High cholesterol among adults who have ever been screened | 33.1% | 31.3–34.9 |
| Obesity among adults | 22.4% | 20.3–24.6 |
| Stroke among adults | 1.9% | 1.7–2.0 |
| All teeth lost among adults aged >=65 years | 3.4% | 2.8–4.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 4.4% | 3.8–5.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 66.3% | 64.0–68.6 |
| Visits to doctor for routine checkup within the past year among adults | 70.5% | 68.5–72.4 |
| Cholesterol screening among adults | 88.3% | 87.2–89.3 |
| Colorectal cancer screening among adults aged 45–75 years | 69.1% | 67.0–71.2 |
| Visited dentist or dental clinic in the past year among adults | 77.5% | 76.0–79.0 |
| Mammography use among women aged 50-74 years | 79.3% | 76.1–82.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 19.7% | 18.1–21.4 |
| Current cigarette smoking among adults | 5.8% | 5.1–6.5 |
| No leisure-time physical activity among adults | 9.9% | 8.9–11.0 |
| Short sleep duration among adults | 27.1% | 25.1–29.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 9.3% | 8.5–10.2 |
| Frequent mental distress among adults | 13.9% | 12.9–15.0 |
| Frequent physical distress among adults | 8.5% | 7.8–9.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 9.3% | 8.5–10.2 |
| Any disability among adults | 17.2% | 15.9–18.7 |
| Hearing disability among adults | 4.0% | 3.6–4.3 |
| Independent living disability among adults | 4.1% | 3.7–4.5 |
| Mobility disability among adults | 5.6% | 5.1–6.2 |
| Self-care disability among adults | 1.8% | 1.6–2.0 |
| Vision disability among adults | 2.3% | 2.1–2.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 4.6% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 2.4% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 1.8% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 75.8% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 2.5% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 6.3% | 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) | 22.2% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 72.6% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 1.8% | 1.3% (0.0–6.3%) n=32,322 | 2.6% (0.0–7.9%) n=580 |
| Foreign-born population | 13.4% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 50.7% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 14.5% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 40.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $182,984 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $1,043,500 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | $2,178 | $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 | 81.4 yr ± 0.58 | 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 0.58 years of 81.4, 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