ZIP code
98237
in Concrete, WashingtonPopulation 4,956
49.14/ 100
Ranked #17,467 of 32,066 US ZIPs (bottom 46%)
Ranked #423 of 581 Washington ZIPs (bottom 27%)
Ranked #12 of 13 Mount Vernon-Anacortes, WA ZIPs (bottom 7.7%)
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.
Park land
56.2%
in the top 1.9% nationally
Higher is healthier
ST96thUS98thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Tree cover
87.8%
in the top 2.0% nationally
Higher is healthier
ST99thUS98thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Natural-disaster risk
in the top 2.7% nationally
Lower is healthier
ST89thUS97thDefinition & 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 ›Walkability
1.3 intersections/sq mi
in the bottom 4.0% nationally
Higher is healthier
ST7thUS4thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Distance to a nursing home
13.6 mi
in the top 6.4% nationally
Lower is healthier
ST82ndUS94thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Unemployment rate
10.0%
in the top 9.6% nationally
Lower is healthier
ST91stUS90thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Crowded housing
6.4%
in the top 9.7% nationally
Lower is healthier
ST86thUS90thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›The read
Concrete, Washington (ZIP 98237), in overall standing, comes out in the bottom 46% nationally (17,467th) and the bottom 27% of Washington (423rd), based on limited data; treat as directional.
The profile carries real weight, and several readings make that plain: modeled disaster risk sits in the top 2.7% nationally, walkability stands in the bottom 4.0% nationally, and distance to a nursing home resides in the top 6.4% nationally. Unemployment sits in the top 9.6% nationally, crowded housing stands in the top 9.7% nationally, and housing-cost burden resides in the top 10.7% nationally. Better still, park land sits in the top 1.9% nationally, and modeled tree cover stands in the top 2.0% nationally. Modeled extreme heat resides at the national minimum, shared with about 19% of ZIPs. Modeled humid heat sits in the bottom 10.8% nationally.
Set within its surrounding area, park land runs far higher than the surrounding ZIPs on this measure. Defined simply, for reference, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. The closest healthier ZIP overall is ZIP 98223, 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
Environmental Hazard
healthier than 95%
14%
Risk Behavior
healthier than 75%
11%
Climate / Disaster RiskPartial
in the top 0.8%
5%
About typical
Social Need / SDOH
healthier than 49%
16%
Holding it back
Chronic Disease Burden
healthier than 38%
21%
Preventive Care
healthier than 23%
13%
Mental Health
healthier than 19%
8%
Disability
healthier than 36%
7%
Healthcare Access
healthier than 32%
5%
Lifting this score
Environmental Hazard
healthier than 88%
14%
Climate / Disaster RiskPartial
healthier than 97%
5%
Holding it back
Chronic Disease Burden
healthier than 16%
21%
Social Need / SDOH
healthier than 13%
16%
Preventive Care
healthier than 40%
13%
Risk Behavior
healthier than 30%
11%
Mental Health
healthier than 27%
8%
Disability
healthier than 16%
7%
Healthcare Access
healthier than 27%
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
98223
Washingtonshares a border
Score 54.21
Closest healthier
98241
Washingtonshares a border
Score 50.23
Similar health profile
98591
Washington97% similar profile
Score 48.02
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 | 33.5% | 30.6–36.4 |
| High blood pressure among adults | 36.4% | 33.1–39.6 |
| Cancer (non-skin) or melanoma among adults | 10.0% | 9.1–11.0 |
| Current asthma among adults | 12.0% | 10.7–13.3 |
| Coronary heart disease among adults | 8.0% | 7.1–8.9 |
| Chronic obstructive pulmonary disease among adults | 8.6% | 7.5–9.9 |
| Depression among adults | 27.6% | 24.5–30.9 |
| Diagnosed diabetes among adults | 12.1% | 10.6–13.8 |
| High cholesterol among adults who have ever been screened | 36.3% | 32.9–39.6 |
| Obesity among adults | 35.2% | 30.5–39.9 |
| Stroke among adults | 4.3% | 3.9–4.7 |
| All teeth lost among adults aged >=65 years | 15.0% | 12.4–17.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.9% | 7.5–10.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 74.9% | 71.7–77.8 |
| Visits to doctor for routine checkup within the past year among adults | 71.0% | 67.7–74.1 |
| Cholesterol screening among adults | 84.0% | 82.2–85.7 |
| Colorectal cancer screening among adults aged 45–75 years | 67.1% | 62.9–71.1 |
| Visited dentist or dental clinic in the past year among adults | 60.3% | 57.0–63.6 |
| Mammography use among women aged 50-74 years | 72.7% | 66.0–78.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.6% | 13.3–18.0 |
| Current cigarette smoking among adults | 15.3% | 13.1–17.7 |
| No leisure-time physical activity among adults | 21.7% | 18.5–25.1 |
| Short sleep duration among adults | 32.2% | 28.1–36.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.9% | 18.4–23.8 |
| Frequent mental distress among adults | 17.6% | 15.8–19.6 |
| Frequent physical distress among adults | 16.7% | 14.9–18.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.0% | 14.2–17.9 |
| Any disability among adults | 34.2% | 30.7–37.8 |
| Hearing disability among adults | 9.3% | 8.3–10.4 |
| Independent living disability among adults | 9.1% | 8.1–10.3 |
| Mobility disability among adults | 16.3% | 14.3–18.5 |
| Self-care disability among adults | 4.6% | 4.1–5.2 |
| Vision disability among adults | 5.4% | 4.8–6.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 16.9% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 13.3% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 15.7% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 12.3% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 10.0% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 3.3% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 90.2% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 39.5% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 80.1% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 6.4% | 1.3% (0.0–6.3%) n=32,322 | 2.6% (0.0–7.9%) n=580 |
| Foreign-born population | 3.5% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 61.2% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 21.5% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 39.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $61,711 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $377,700 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | $845 | $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 | 78.4 yr ± 0.84 | 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 0.84 years of 78.4, 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