ZIP code
98660
in Vancouver, WashingtonPopulation 13,212
47.23/ 100
Ranked #19,878 of 32,066 US ZIPs (bottom 38%)
Ranked #482 of 581 Washington ZIPs (bottom 17%)
Ranked #109 of 120 Portland-Vancouver-Hillsboro, OR-WA ZIPs (bottom 9.2%)
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.
Floodplain exposure
81.6%
in the top 1.1% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›Transportation noise
29.5%
in the top 1.2% nationally
Lower is healthier
ST98thUS99thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Subsidized affordable housing
924 units
in the top 1.7% nationally
Higher is healthier
ST95thUS98thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Expected annual disaster loss
$0
in the top 2.9% nationally
Lower is healthier
ST89thUS97thDefinition & 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 ›Industrial-pollution burden
in the top 3.2% nationally
Lower is healthier
ST98thUS97thDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›Homeownership rate
38.2%
in the bottom 4.9% nationally
Higher is healthier
ST6thUS5thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Transit access
5 per 1,000 residents
in the top 5.0% nationally
Higher is healthier
ST92ndUS95thDefinition & source ›
The number of public-transit stops 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 ›Households without a vehicle
18.6%
in the top 5.1% nationally
Lower is healthier
ST97thUS95thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Civic-institution access
0.86 per 1,000 residents
in the top 5.5% nationally
Higher is healthier
ST94thUS95thDefinition & source ›
The number of civic and social organizations 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 ›Grocery access
0.24 per 1,000 residents
in the top 5.5% nationally
Higher is healthier
ST96thUS95thDefinition & source ›
The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Cross-source signals
Combined exposures in this ZIP
More than one environmental exposure stands out in this ZIP. Each is established independently and shown on its own above; they are grouped here for context — not because one causes the other.
This area ranks among the highest 10% of US ZIP codes for both flood exposure and the share of households without a vehicle.
See the full flooding, evacuation & humid-heat analysis →
The read
ZIP 98660, one of several in Vancouver, Washington, overall, ranks in the bottom 38% nationally (19,878th) and the bottom 17% of Washington (482nd).
Several serious readings shape the profile and deserve first mention: floodplain exposure is in the top 1.1% nationally, modeled transportation noise sits in the top 1.2% nationally, and modeled expected annual loss lands in the top 2.9% nationally. Modeled industrial-pollution burden lies in the top 3.2% nationally, homeownership stands in the bottom 4.9% nationally, and households without a vehicle rests in the top 5.1% nationally. On the better side, subsidized affordable housing registers in the top 1.7% nationally, and transit resides in the top 5.0% nationally. Civic settles in the top 5.5% nationally, and grocery is in the top 5.5% nationally.
Measured against the nearby ZIPs, floodplain exposure runs far higher than the surrounding ZIPs on this measure. Defined simply, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". ZIP 97217, just across the boundary, comes out 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 Portland-Vancouver-Hillsboro, OR-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 65%
21%
Social Need / SDOH
in the top 0.3%
16%
Risk Behavior
healthier than 73%
11%
Healthcare Access
healthier than 81%
5%
About typical
Disability
healthier than 52%
7%
Holding it back
Environmental Hazard
healthier than 1%
14%
Preventive Care
healthier than 12%
13%
Mental Health
healthier than 7%
8%
Climate / Disaster Risk
healthier than 9%
5%
Lifting this score
Social Need / SDOH
healthier than 98%
16%
Healthcare Access
healthier than 70%
5%
Holding it back
Chronic Disease Burden
healthier than 39%
21%
Environmental Hazard
healthier than 1%
14%
Preventive Care
healthier than 19%
13%
Risk Behavior
healthier than 27%
11%
Mental Health
healthier than 4%
8%
Disability
healthier than 28%
7%
Climate / Disaster Risk
in the bottom 0.3%
5%
Lifting this score
Social Need / SDOH
healthier than 97%
16%
About typical
Healthcare Access
healthier than 58%
5%
Holding it back
Chronic Disease Burden
healthier than 31%
21%
Environmental Hazard
healthier than 17%
14%
Preventive Care
healthier than 8%
13%
Risk Behavior
healthier than 13%
11%
Mental Health
healthier than 13%
8%
Disability
healthier than 18%
7%
Climate / Disaster Risk
in the bottom 0.00%
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.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 1.3 (bottom 10%); chronic-disease standing 65.2 — 64 points apart, heavier on the environment than it is on chronic illness.
Ranked #15,794 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Highest-risk tenth
Air toxics and the years between the two ends of the risk scale
Modeled air-toxics cancer risk is 39.9 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 78.0 ± 2.5 years.
Ranked #1,408 of the 4,173 ZIP codes this finding names, ordered by modeled air-toxics risk, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
97217
Oregonshares a border
Score 54.04
Closest healthier
97231
Oregonshares a border
Score 59.17
Similar health profile
95692
California92% similar profile
Score 46.94
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 | 26.4% | 24.5–28.4 |
| High blood pressure among adults | 32.6% | 30.3–34.9 |
| Cancer (non-skin) or melanoma among adults | 8.0% | 7.3–8.7 |
| Current asthma among adults | 12.3% | 11.2–13.6 |
| Coronary heart disease among adults | 6.1% | 5.5–6.7 |
| Chronic obstructive pulmonary disease among adults | 6.8% | 6.1–7.6 |
| Depression among adults | 28.9% | 26.5–31.5 |
| Diagnosed diabetes among adults | 10.7% | 9.5–11.9 |
| High cholesterol among adults who have ever been screened | 33.3% | 31.0–35.6 |
| Obesity among adults | 38.9% | 35.5–42.6 |
| Stroke among adults | 3.4% | 3.1–3.7 |
| All teeth lost among adults aged >=65 years | 11.6% | 9.5–13.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.7% | 8.4–11.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 70.8% | 68.2–73.2 |
| Visits to doctor for routine checkup within the past year among adults | 67.8% | 65.1–70.5 |
| Cholesterol screening among adults | 81.4% | 79.8–83.3 |
| Colorectal cancer screening among adults aged 45–75 years | 65.6% | 62.2–68.4 |
| Visited dentist or dental clinic in the past year among adults | 60.8% | 58.1–63.2 |
| Mammography use among women aged 50-74 years | 72.4% | 67.2–76.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.5% | 14.5–18.5 |
| Current cigarette smoking among adults | 13.6% | 11.9–15.5 |
| No leisure-time physical activity among adults | 22.3% | 19.9–25.0 |
| Short sleep duration among adults | 32.6% | 29.5–35.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.3% | 18.4–22.5 |
| Frequent mental distress among adults | 20.1% | 18.3–22.0 |
| Frequent physical distress among adults | 14.9% | 13.4–16.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.2% | 14.6–17.9 |
| Any disability among adults | 31.1% | 28.5–33.9 |
| Hearing disability among adults | 7.0% | 6.3–7.7 |
| Independent living disability among adults | 8.6% | 7.8–9.6 |
| Mobility disability among adults | 13.7% | 12.3–15.2 |
| Self-care disability among adults | 4.1% | 3.7–4.5 |
| Vision disability among adults | 5.2% | 4.7–5.7 |
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 | 7.5% | 9.0% (1.5–24.3%) n=32,286 | 8.2% (1.8–22.7%) n=582 |
| No HS diploma (25+) | 7.8% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.5%) n=588 |
| Bachelor's or higher (25+) | 42.2% | 23.3% (9.2–53.6%) n=32,505 | 27.4% (12.3–59.7%) n=588 |
| Unemployment rate (16+) | 5.3% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (0.0–9.7%) n=584 |
| Households without a vehicle | 18.6% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.2%) n=580 |
| Broadband subscription | 92.6% | 89.3% (75.1–97.1%) n=32,322 | 92.7% (81.1–97.4%) n=580 |
| Housing cost burden (≥30% income) | 42.8% | 23.7% (10.6–40.0%) n=32,322 | 28.9% (14.6–40.6%) n=580 |
| Homeownership rate | 38.2% | 78.7% (51.7–94.0%) n=32,322 | 75.2% (48.2–91.7%) n=580 |
| Crowded housing (>1 per room) | 1.4% | 1.3% (0.0–6.3%) n=32,322 | 2.6% (0.0–7.9%) n=580 |
| Foreign-born population | 7.5% | 2.6% (0.0–18.6%) n=32,553 | 6.7% (0.3–27.6%) n=588 |
| Single-parent households | 54.6% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (40.5–76.0%) n=574 |
| Population 65+ | 20.3% | 19.4% (10.8–33.6%) n=32,553 | 18.9% (10.3–36.9%) n=588 |
| Median age | 41.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (32.9–58.8) n=584 |
| Median household income | $67,344 | $72,070 ($46,039–$118,707) n=30,318 | $84,646 ($56,217–$132,145) n=547 |
| Median home value | $469,600 | $222,200 ($100,300–$579,820) n=30,049 | $452,750 ($241,540–$826,380) n=542 |
| Median gross rent | $1,545 | $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 | 78.0 yr ± 1.30 | 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 1.30 years of 78.0, 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