ZIP code
98223
in Arlington, WashingtonPopulation 46,497
54.21/ 100
Ranked #10,437 of 32,066 US ZIPs (top 33%)
Ranked #267 of 581 Washington ZIPs (top 46%)
Ranked #123 of 166 Seattle-Tacoma-Bellevue, WA ZIPs (bottom 26%)
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.
Natural-disaster risk
in the top 1.4% 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 ›Expected annual disaster loss
$1
in the top 1.9% nationally
Lower is healthier
ST93rdUS98thDefinition & 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 ›Subsidized affordable housing
822 units
in the top 2.1% nationally
Higher is healthier
ST94thUS98thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Humid extreme heat
4.4 days/year
in the bottom 2.7% nationally
Lower is healthier
ST16thUS3rdDefinition & source ›
The average number of days per year when modeled heat stress — temperature, humidity, sun, and wind combined — reaches levels hard on the body outdoors.
Full methodology ›Park land
22.6%
in the top 6.2% nationally
Higher is healthier
ST91stUS94thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Energy-cost burden
1.8%
in the bottom 9.6% nationally
Lower is healthier
ST40thUS10thDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›The read
By the composite measure, Arlington, Washington (ZIP 98223) sits in the top 33% healthiest ZIPs nationally (10,437th) and the top 46% of Washington (267th).
The readings split fairly evenly between strengths and concerns: subsidized affordable housing settles in the top 2.1% nationally, and modeled humid heat stands in the bottom 2.7% nationally. Distance to an emergency room is at the national minimum, shared with about 11% of ZIPs. Park land rests in the top 6.2% nationally. Modeled extreme heat sits at the national minimum, shared with about 19% of ZIPs. Modeled tree cover registers in the top 11.1% nationally, and transit lands in the top 11.1% nationally. Distance to a community health center resides at the national minimum, shared with about 23% of ZIPs. Working the other way, modeled disaster risk lies in the top 1.4% nationally, and expected annual loss settles in the top 1.9% nationally.
Compared with the ZIPs that surround it, expected annual loss runs far higher than the surrounding ZIPs on this measure. In plain language, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Subsidized affordable housing is the main federal tax-credit program (HUD) funding affordable rental housing, counted as local units it supports. ZIP 98252, just across the boundary, ranks healthier overall.
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 67%
21%
Social Need / SDOH
healthier than 89%
16%
Risk Behavior
healthier than 77%
11%
Disability
healthier than 65%
7%
Climate / Disaster Risk
healthier than 92%
5%
Healthcare Access
in the top 0.00%
5%
About typical
Environmental Hazard
healthier than 57%
14%
Holding it back
Preventive Care
healthier than 24%
13%
Mental Health
healthier than 16%
8%
Lifting this score
Social Need / SDOH
healthier than 73%
16%
Climate / Disaster Risk
healthier than 62%
5%
Healthcare Access
in the top 0.00%
5%
About typical
Chronic Disease Burden
healthier than 41%
21%
Environmental Hazard
healthier than 57%
14%
Preventive Care
healthier than 42%
13%
Disability
healthier than 44%
7%
Holding it back
Risk Behavior
healthier than 32%
11%
Mental Health
healthier than 22%
8%
Lifting this score
Environmental Hazard
healthier than 68%
14%
Healthcare Access
in the top 0.00%
5%
About typical
Social Need / SDOH
healthier than 46%
16%
Preventive Care
healthier than 45%
13%
Climate / Disaster Risk
healthier than 50%
5%
Holding it back
Chronic Disease Burden
healthier than 11%
21%
Risk Behavior
healthier than 29%
11%
Mental Health
healthier than 21%
8%
Disability
healthier than 21%
7%
“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
98237
Washingtonshares a border
Score 49.14
Closest healthier
98252
Washingtonshares a border
Score 56.03
Similar health profile
98374
Washington98% similar profile
Score 54.78
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 | 27.7% | 25.9–29.5 |
| High blood pressure among adults | 32.4% | 30.4–34.4 |
| Cancer (non-skin) or melanoma among adults | 8.7% | 8.1–9.4 |
| Current asthma among adults | 12.3% | 11.2–13.4 |
| Coronary heart disease among adults | 6.0% | 5.5–6.5 |
| Chronic obstructive pulmonary disease among adults | 6.4% | 5.9–7.1 |
| Depression among adults | 28.2% | 26.0–30.4 |
| Diagnosed diabetes among adults | 10.0% | 9.0–11.0 |
| High cholesterol among adults who have ever been screened | 36.9% | 34.7–39.0 |
| Obesity among adults | 33.8% | 30.8–36.9 |
| Stroke among adults | 3.3% | 3.0–3.5 |
| All teeth lost among adults aged >=65 years | 9.8% | 8.3–11.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.0% | 7.0–9.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 72.1% | 69.7–74.3 |
| Visits to doctor for routine checkup within the past year among adults | 72.0% | 69.7–74.1 |
| Cholesterol screening among adults | 84.1% | 82.7–85.4 |
| Colorectal cancer screening among adults aged 45–75 years | 66.8% | 64.1–69.4 |
| Visited dentist or dental clinic in the past year among adults | 65.3% | 63.1–67.5 |
| Mammography use among women aged 50-74 years | 71.6% | 67.3–75.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.6% | 14.9–18.2 |
| Current cigarette smoking among adults | 12.6% | 11.4–14.0 |
| No leisure-time physical activity among adults | 19.4% | 17.6–21.4 |
| Short sleep duration among adults | 34.1% | 31.5–36.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.9% | 16.4–19.5 |
| Frequent mental distress among adults | 17.8% | 16.4–19.3 |
| Frequent physical distress among adults | 14.3% | 13.2–15.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.8% | 13.6–16.1 |
| Any disability among adults | 29.9% | 27.7–32.1 |
| Hearing disability among adults | 7.2% | 6.6–7.9 |
| Independent living disability among adults | 7.8% | 7.1–8.5 |
| Mobility disability among adults | 13.0% | 11.8–14.2 |
| Self-care disability among adults | 3.6% | 3.4–3.9 |
| Vision disability among adults | 4.4% | 4.0–4.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 8.5% | 10.6% (3.1–25.8%) n=32,364 | 9.6% (3.5–22.3%) n=583 |
| Uninsured 18–64 | 8.0% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 7.2% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 21.8% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 3.2% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 4.4% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 90.8% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 34.9% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 77.6% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 3.6% | 1.3% (0.0–6.3%) n=32,322 | 2.6% (0.0–7.9%) n=580 |
| Foreign-born population | 7.7% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 49.5% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 16.8% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 40.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $99,681 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $601,400 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | $1,881 | $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 | 78.9 yr ± 0.61 | 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 0.61 years of 78.9, 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