ZIP code
98103
in Seattle, WashingtonPopulation 52,671
70.51/ 100
Ranked #503 of 32,066 US ZIPs (top 1.6%)
Ranked #19 of 581 Washington ZIPs (top 3.3%)
Ranked #19 of 166 Seattle-Tacoma-Bellevue, WA ZIPs (top 11.5%)
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.
High blood pressure
20.6%
in the bottom 1.4% nationally
Lower is healthier
ST3rdUS1stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Diabetes
4.6%
in the bottom 1.1% nationally
Lower is healthier
ST3rdUS1stDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Expected annual disaster loss
$1
in the top 0.9% nationally
Lower is healthier
ST97thUS99thDefinition & 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 ›Obesity
21.5%
in the bottom 1.7% nationally
Lower is healthier
ST4thUS2ndDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Mobility disability
4.7%
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 ›Coronary heart disease
2.7%
in the bottom 1.3% nationally
Lower is healthier
ST3rdUS1stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Stroke
1.5%
in the bottom 1.3% nationally
Lower is healthier
ST3rdUS1stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Hearing disability
3.4%
in the bottom 1.2% nationally
Lower is healthier
ST3rdUS1stDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Walkability
220 intersections/sq mi
in the top 1.9% nationally
Higher is healthier
ST98thUS98thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Fair or poor health
8.8%
in the bottom 0.2% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›The read
ZIP 98103, one of several in Seattle, Washington ranks in the top 1.6% healthiest ZIPs nationally (503rd) and the top 3.3% of Washington (19th).
A profile of give and take, with clear readings each way: modeled high blood pressure stands in the bottom 1.4% nationally, and diabetes sits in the bottom 1.1% nationally. Modeled obesity resides in the bottom 1.7% nationally, and mobility disability stands in the bottom 0.8% nationally. Modeled coronary heart disease sits in the bottom 1.3% nationally, stroke resides in the bottom 1.3% nationally, and hearing disability stands in the bottom 1.2% nationally. Walkability sits in the top 1.9% nationally, and modeled fair or poor health resides in the bottom 0.2% nationally. On the other side, modeled expected annual loss stands in the top 0.9% nationally.
Against its neighbors, expected annual loss runs far higher than the surrounding ZIPs on this measure. For context, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. The closest ZIP that ranks healthier overall is ZIP 98107, 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 99%
21%
Social Need / SDOH
healthier than 98%
16%
Risk Behavior
healthier than 97%
11%
Disability
in the top 0.3%
7%
Climate / Disaster Risk
healthier than 99%
5%
Healthcare Access
healthier than 91%
5%
About typical
Mental Health
healthier than 44%
8%
Holding it back
Environmental Hazard
healthier than 33%
14%
Preventive Care
healthier than 31%
13%
Lifting this score
Chronic Disease Burden
healthier than 96%
21%
Social Need / SDOH
healthier than 93%
16%
Risk Behavior
healthier than 85%
11%
Mental Health
healthier than 66%
8%
Disability
healthier than 98%
7%
Climate / Disaster Risk
healthier than 94%
5%
Healthcare Access
healthier than 88%
5%
About typical
Preventive Care
healthier than 54%
13%
Holding it back
Environmental Hazard
healthier than 35%
14%
Lifting this score
Chronic Disease Burden
healthier than 91%
21%
Social Need / SDOH
healthier than 85%
16%
Risk Behavior
healthier than 77%
11%
Disability
healthier than 95%
7%
Climate / Disaster Risk
healthier than 87%
5%
Healthcare Access
healthier than 85%
5%
About typical
Preventive Care
healthier than 56%
13%
Mental Health
healthier than 58%
8%
Holding it back
Environmental Hazard
healthier than 37%
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
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 33.7; chronic-disease standing 98.8 (top 10%) — 65 points apart, heavier on the environment than it is on chronic illness.
Ranked #15,933 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
98102
Washingtonshares a border
Score 68.75
Closest healthier
98107
Washingtonshares a border
Score 72.08
Similar health profile
92107
California99% similar profile
Score 65.12
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 | 15.5% | 14.5–16.6 |
| High blood pressure among adults | 20.6% | 19.3–22.0 |
| Cancer (non-skin) or melanoma among adults | 5.9% | 5.5–6.3 |
| Current asthma among adults | 10.0% | 9.2–10.8 |
| Coronary heart disease among adults | 2.7% | 2.5–3.0 |
| Chronic obstructive pulmonary disease among adults | 2.4% | 2.1–2.6 |
| Depression among adults | 26.5% | 24.8–28.4 |
| Diagnosed diabetes among adults | 4.6% | 4.2–5.1 |
| High cholesterol among adults who have ever been screened | 28.9% | 27.3–30.6 |
| Obesity among adults | 21.5% | 19.5–23.7 |
| Stroke among adults | 1.5% | 1.4–1.6 |
| All teeth lost among adults aged >=65 years | 3.6% | 3.0–4.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 4.9% | 4.3–5.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 61.3% | 59.2–63.4 |
| Visits to doctor for routine checkup within the past year among adults | 67.3% | 65.2–69.4 |
| Cholesterol screening among adults | 85.3% | 84.0–86.5 |
| Colorectal cancer screening among adults aged 45–75 years | 68.1% | 65.9–70.2 |
| Visited dentist or dental clinic in the past year among adults | 76.0% | 74.4–77.6 |
| Mammography use among women aged 50-74 years | 79.2% | 76.1–82.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 21.3% | 19.6–23.0 |
| Current cigarette smoking among adults | 5.4% | 4.8–6.1 |
| No leisure-time physical activity among adults | 9.6% | 8.6–10.6 |
| Short sleep duration among adults | 27.0% | 25.1–29.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 8.8% | 8.1–9.7 |
| Frequent mental distress among adults | 15.0% | 13.8–16.2 |
| Frequent physical distress among adults | 7.8% | 7.1–8.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 10.1% | 9.2–11.0 |
| Any disability among adults | 16.8% | 15.5–18.2 |
| Hearing disability among adults | 3.4% | 3.1–3.8 |
| Independent living disability among adults | 4.1% | 3.7–4.5 |
| Mobility disability among adults | 4.7% | 4.2–5.2 |
| Self-care disability among adults | 1.6% | 1.4–1.7 |
| Vision disability among adults | 2.2% | 2.0–2.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.8% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 3.3% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 1.6% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 78.6% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 4.0% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 11.2% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 95.2% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 32.4% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 44.4% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 1.2% | 1.3% (0.0–6.3%) n=32,322 | 2.6% (0.0–7.9%) n=580 |
| Foreign-born population | 14.2% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 54.7% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 11.7% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 34.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $131,154 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $1,044,100 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | $2,032 | $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 | 81.5 yr ± 0.64 | 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 0.64 years of 81.5, 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