ZIP code
98052
in Redmond, WashingtonPopulation 80,717
73.47/ 100
Ranked #133 of 32,066 US ZIPs (top 0.5%)
Ranked #7 of 581 Washington ZIPs (top 1.3%)
Ranked #7 of 166 Seattle-Tacoma-Bellevue, WA ZIPs (top 4.3%)
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.
Obesity
18.6%
in the bottom 0.6% 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 ›Expected annual disaster loss
$1
in the top 0.5% nationally
Lower is healthier
ST99thUS99thDefinition & 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 ›Median household income
$163,460
in the top 2.7% nationally
Higher is healthier
ST95thUS97thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›High blood pressure
21.7%
in the bottom 1.6% nationally
Lower is healthier
ST3rdUS2ndDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Mobility disability
4.9%
in the bottom 0.9% nationally
Lower is healthier
ST3rdUS1stDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Coronary heart disease
2.9%
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 coronary heart disease or angina.
Full methodology ›Natural-disaster risk
in the top 1.5% nationally
Lower is healthier
ST95thUS99thDefinition & 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 ›Diabetes
5.5%
in the bottom 1.4% nationally
Lower is healthier
ST3rdUS1stDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Stroke
1.6%
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 had a stroke.
Full methodology ›Hearing disability
3.5%
in the bottom 1.4% nationally
Lower is healthier
ST3rdUS1stDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›The read
ZIP 98052, one of several in Redmond, Washington, on the composite measure, lands in the top 0.5% healthiest ZIPs nationally (133rd) and the top 1.3% of Washington (7th).
The profile cuts both ways, and the readings bear that out: modeled obesity lands in the bottom 0.6% nationally, household income resides in the top 2.7% nationally, and modeled high blood pressure lies in the bottom 1.6% nationally. Modeled mobility disability settles in the bottom 0.9% nationally, coronary heart disease stands in the bottom 1.4% nationally, and diabetes is in the bottom 1.4% nationally. Modeled stroke rests in the bottom 1.4% nationally, and hearing disability sits in the bottom 1.4% nationally. Working the other way, modeled expected annual loss registers in the top 0.5% nationally, and disaster risk lands in the top 1.5% nationally.
Set against the neighboring ZIPs, expected annual loss runs far higher than the surrounding ZIPs on this measure. In everyday language, 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. A healthier neighbor overall sits at ZIP 98007, 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 96%
16%
Risk Behavior
healthier than 99%
11%
Mental Health
healthier than 88%
8%
Disability
in the top 0.2%
7%
Climate / Disaster Risk
healthier than 61%
5%
Healthcare Access
healthier than 91%
5%
About typical
Environmental Hazard
healthier than 47%
14%
Holding it back
Preventive Care
healthier than 32%
13%
Lifting this score
Chronic Disease Burden
healthier than 96%
21%
Social Need / SDOH
healthier than 89%
16%
Risk Behavior
healthier than 93%
11%
Mental Health
healthier than 97%
8%
Disability
in the top 0.8%
7%
Healthcare Access
healthier than 89%
5%
About typical
Environmental Hazard
healthier than 46%
14%
Preventive Care
healthier than 56%
13%
Holding it back
Climate / Disaster Risk
healthier than 23%
5%
Lifting this score
Chronic Disease Burden
healthier than 92%
21%
Social Need / SDOH
healthier than 77%
16%
Risk Behavior
healthier than 91%
11%
Mental Health
healthier than 94%
8%
Disability
healthier than 98%
7%
Healthcare Access
healthier than 86%
5%
About typical
Environmental Hazard
healthier than 52%
14%
Preventive Care
healthier than 58%
13%
Holding it back
Climate / Disaster Risk
healthier than 21%
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
2 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 83.3 ± 1.2 years. A median household income of $163,460 predicts 82.0 years — 1.3 years above.
Ranked #1,350 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 47.5; chronic-disease standing 98.9 (top 10%) — 51 points apart, heavier on the environment than it is on chronic illness.
Ranked #14,535 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
98005
Washingtonshares a border
Score 72.80
Closest healthier
98007
Washingtonshares a border
Score 74.06
Similar health profile
94043
California99% similar profile
Score 72.16
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 | 15.1% | 14.2–16.1 |
| High blood pressure among adults | 21.7% | 20.3–23.0 |
| Cancer (non-skin) or melanoma among adults | 5.6% | 5.2–6.0 |
| Current asthma among adults | 8.6% | 7.9–9.3 |
| Coronary heart disease among adults | 2.9% | 2.6–3.1 |
| Chronic obstructive pulmonary disease among adults | 2.2% | 2.0–2.5 |
| Depression among adults | 21.3% | 19.7–22.9 |
| Diagnosed diabetes among adults | 5.5% | 5.0–6.0 |
| High cholesterol among adults who have ever been screened | 31.3% | 29.6–33.0 |
| Obesity among adults | 18.6% | 16.8–20.5 |
| Stroke among adults | 1.6% | 1.5–1.7 |
| All teeth lost among adults aged >=65 years | 3.9% | 3.3–4.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.0% | 4.4–5.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 63.7% | 61.5–65.8 |
| Visits to doctor for routine checkup within the past year among adults | 68.7% | 66.7–70.8 |
| Cholesterol screening among adults | 86.1% | 84.9–87.3 |
| Colorectal cancer screening among adults aged 45–75 years | 65.2% | 62.9–67.3 |
| Visited dentist or dental clinic in the past year among adults | 74.2% | 72.5–75.8 |
| Mammography use among women aged 50-74 years | 78.8% | 75.7–81.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.3% | 15.9–18.8 |
| Current cigarette smoking among adults | 5.2% | 4.6–5.8 |
| No leisure-time physical activity among adults | 11.0% | 9.9–12.1 |
| Short sleep duration among adults | 28.6% | 26.5–30.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 9.1% | 8.3–9.9 |
| Frequent mental distress among adults | 12.8% | 11.9–13.8 |
| Frequent physical distress among adults | 7.5% | 6.9–8.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 8.7% | 8.0–9.5 |
| Any disability among adults | 16.1% | 14.9–17.3 |
| Hearing disability among adults | 3.5% | 3.2–3.8 |
| Independent living disability among adults | 3.7% | 3.4–4.1 |
| Mobility disability among adults | 4.9% | 4.4–5.3 |
| Self-care disability among adults | 1.6% | 1.4–1.7 |
| 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 | 5.5% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 4.7% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 2.7% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 75.2% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 4.7% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 7.4% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 95.9% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 27.4% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 44.8% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 5.6% | 1.3% (0.0–6.3%) n=32,322 | 2.6% (0.0–7.9%) n=580 |
| Foreign-born population | 44.4% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 44.8% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 10.7% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 35.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $163,460 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $1,180,600 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | $2,405 | $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 | 83.3 yr ± 0.59 | 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 0.59 years of 83.3, 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