ZIP code
98239
in Coupeville, WashingtonPopulation 7,656
59.11/ 100
Ranked #5,517 of 32,066 US ZIPs (top 17%)
Ranked #131 of 581 Washington ZIPs (top 23%)
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.
Colon-cancer screening
75.6%
in the top 2.3% nationally
Higher is healthier
ST97thUS98thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Short sleep
28.6%
in the bottom 4.6% nationally
Lower is healthier
ST18thUS5thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Natural-disaster risk
in the top 5.6% nationally
Lower is healthier
ST79thUS94thDefinition & 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 ›Physician access
1.8 per 1,000 residents
in the top 8.9% nationally
Higher is healthier
ST93rdUS91stDefinition & source ›
The number of physicians’ offices 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 ›Binge drinking
12.2%
in the bottom 7.9% nationally
Lower is healthier
ST2ndUS8thDefinition & source ›
The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.
Full methodology ›The read
Coupeville, Washington (ZIP 98239), by its composite score, sits in the top 17% healthiest ZIPs nationally (5,517th) and the top 23% of Washington (131st).
The standout strengths in the data are the natural place to begin: modeled colon screening lies in the top 2.3% nationally. Distance to an emergency room rests at the national minimum, shared with about 11% of ZIPs. Modeled short sleep resides in the bottom 4.6% nationally, physicians is in the top 8.9% nationally, and modeled binge drinking lands in the bottom 7.9% nationally. Modeled extreme heat stands at the national minimum, shared with about 19% of ZIPs. Elder services registers in the top 11.3% nationally. Distance to a nursing home settles at the national minimum, shared with about 27% of ZIPs. On the other side, modeled disaster risk sits in the top 5.6% nationally, and arsenic lies in the top 11.6% nationally.
Next to the surrounding area, park land runs far lower than the surrounding ZIPs on this measure. For anyone unfamiliar, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. For a healthier comparison close by, see ZIP 98253, 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Social Need / SDOH
healthier than 76%
16%
Environmental Hazard
healthier than 82%
14%
Preventive Care
healthier than 83%
13%
Risk Behavior
healthier than 99%
11%
Mental Health
healthier than 78%
8%
Disability
healthier than 64%
7%
About typical
Climate / Disaster Risk
healthier than 52%
5%
Healthcare Access
healthier than 58%
5%
Holding it back
Chronic Disease Burden
healthier than 37%
21%
Lifting this score
Environmental Hazard
healthier than 72%
14%
Preventive Care
healthier than 94%
13%
Risk Behavior
healthier than 93%
11%
Mental Health
healthier than 93%
8%
About typical
Social Need / SDOH
healthier than 40%
16%
Disability
healthier than 43%
7%
Healthcare Access
healthier than 45%
5%
Holding it back
Chronic Disease Burden
healthier than 16%
21%
Climate / Disaster Risk
healthier than 14%
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
98253
Washingtonshares a border
Score 62.28
Closest healthier
98282
Washingtonabout 1.4 mi away
Score 60.29
Similar health profile
98592
Washington98% similar profile
Score 59.15
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 | 35.0% | 31.9–38.0 |
| High blood pressure among adults | 39.9% | 36.5–43.2 |
| Cancer (non-skin) or melanoma among adults | 13.5% | 12.3–14.7 |
| Current asthma among adults | 10.6% | 9.5–11.8 |
| Coronary heart disease among adults | 8.3% | 7.5–9.3 |
| Chronic obstructive pulmonary disease among adults | 6.9% | 6.0–7.9 |
| Depression among adults | 22.8% | 19.9–25.7 |
| Diagnosed diabetes among adults | 12.0% | 10.4–13.5 |
| High cholesterol among adults who have ever been screened | 40.8% | 37.1–44.2 |
| Obesity among adults | 32.0% | 27.3–36.7 |
| Stroke among adults | 4.2% | 3.8–4.6 |
| All teeth lost among adults aged >=65 years | 10.0% | 8.3–12.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.2% | 5.2–7.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.4% | 76.5–81.9 |
| Visits to doctor for routine checkup within the past year among adults | 77.6% | 74.5–80.3 |
| Cholesterol screening among adults | 89.0% | 87.6–90.2 |
| Colorectal cancer screening among adults aged 45–75 years | 75.6% | 72.3–79.3 |
| Visited dentist or dental clinic in the past year among adults | 69.4% | 66.7–72.4 |
| Mammography use among women aged 50-74 years | 74.3% | 68.7–80.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.2% | 10.2–14.3 |
| Current cigarette smoking among adults | 9.4% | 7.9–10.9 |
| No leisure-time physical activity among adults | 16.6% | 13.9–19.5 |
| Short sleep duration among adults | 28.6% | 25.0–33.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.6% | 14.5–18.8 |
| Frequent mental distress among adults | 13.6% | 12.0–15.2 |
| Frequent physical distress among adults | 14.0% | 12.4–15.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.8% | 10.4–13.1 |
| Any disability among adults | 30.8% | 27.2–34.3 |
| Hearing disability among adults | 9.3% | 8.3–10.3 |
| Independent living disability among adults | 7.0% | 6.2–7.8 |
| Mobility disability among adults | 14.7% | 12.9–16.7 |
| Self-care disability among adults | 3.6% | 3.2–4.0 |
| Vision disability among adults | 4.3% | 3.9–4.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 7.2% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 4.2% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 2.1% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 45.5% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 4.5% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 2.3% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 93.8% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 35.1% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 85.8% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 2.6% (0.0–7.9%) n=580 |
| Foreign-born population | 8.0% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 75.9% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 42.1% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 61.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $92,125 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $593,700 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | $1,287 | $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 | 79.3 yr ± 1.69 | 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 1.69 years of 79.3, 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