ZIP code
96746
in Kapaa, HawaiiPopulation 19,329
60.50/ 100
Ranked #4,476 of 32,066 US ZIPs (top 14.0%)
Ranked #27 of 92 Hawaii ZIPs (top 29%)
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 2.1% nationally
Lower is healthier
ST73rdUS98thDefinition & 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 ›Air-toxics cancer risk
10 per million
in the bottom 2.8% nationally
Lower is healthier
ST26thUS3rdDefinition & source ›
The EPA’s modeled estimate of added lifetime cancer risk from breathing outdoor air toxics, in cases per million people exposed over a lifetime.
Full methodology ›Obesity
24.7%
in the bottom 5.1% nationally
Lower is healthier
ST26thUS5thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Industrial-pollution burden
in the bottom 3.6% nationally
Lower is healthier
ST8thUS4thDefinition & 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 ›Distance to a Superfund site
90.2 mi
in the top 4.2% nationally
Higher is healthier
ST47thUS96thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Superfund site — an abandoned or uncontrolled hazardous-waste site the EPA has listed for cleanup.
Full methodology ›Lead in tap water
0 ppb
at the national minimum
Lower is healthier
US1stDefinition & source ›
The lead level at the 90th percentile of tap-water samples reported by the public water systems serving this ZIP, in parts per billion — the EPA requires action above 15 ppb.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›Fiber broadband
90.6%
in the top 15% nationally
Higher is healthier
ST99thUS85thDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›Loneliness
29.2%
in the bottom 16% nationally
Lower is healthier
ST9thUS16thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Outer-floodplain exposure
0.76%
in the top 29% nationally
Lower is healthier
ST93rdUS71stDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 0.2%-annual-chance flood band — the “500-year” zone, a lower but real 1-in-500 yearly chance.
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 ›The read
In its overall standing, Kapaa, Hawaii (ZIP 96746) lands in the top 14.0% healthiest ZIPs nationally (4,476th) and the top 29% of Hawaii (27th), based on limited data; treat as directional.
This area's measures are easy to read as a mixed set: modeled air-toxics cancer risk sits in the bottom 2.8% nationally, obesity lands in the bottom 5.1% nationally, and industrial-pollution burden lies in the bottom 3.6% nationally. Distance to a Superfund site stands in the top 4.2% nationally, and lead in tap water rests at the national minimum. Distance to an emergency room registers at the national minimum, shared with about 11% of ZIPs. Distance to a community health center resides at the national minimum, shared with about 23% of ZIPs. Set against that, modeled disaster risk settles in the top 2.1% nationally, and short sleep is in the top 10.2% nationally. Housing-cost burden sits in the top 11.1% nationally.
Against the wider neighborhood, park land runs far higher than the surrounding ZIPs on this measure. Put simply, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. On the overall standing, ZIP 96766, just across the boundary, ranks healthier.
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
Chronic Disease Burden
healthier than 82%
21%
Social Need / SDOH
healthier than 65%
16%
Environmental Hazard
in the top 0.2%
14%
Mental Health
healthier than 90%
8%
Disability
healthier than 75%
7%
Healthcare Access
in the top 0.00%
5%
About typical
Risk Behavior
healthier than 44%
11%
Climate / Disaster RiskPartial
healthier than 46%
5%
Holding it back
Preventive Care
healthier than 39%
13%
“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
One of our published findings lists 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 82.9 ± 1.8 years. A median household income of $88,802 predicts 79.6 years — 3.3 years above.
Ranked #338 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
96703
Hawaiishares a border
Score 46.70
Closest healthier
96766
Hawaiishares a border
Score 62.58
Similar health profile
96753
Hawaii99% similar profile
Score 59.31
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 | 25.8% | 23.1–28.6 |
| High blood pressure among adults | 31.6% | 28.3–35.0 |
| Cancer (non-skin) or melanoma among adults | 7.6% | 6.9–8.3 |
| Current asthma among adults | 10.3% | 9.1–11.5 |
| Coronary heart disease among adults | 6.2% | 5.6–6.9 |
| Chronic obstructive pulmonary disease among adults | 5.7% | 5.0–6.3 |
| Depression among adults | 17.3% | 14.7–19.9 |
| Diagnosed diabetes among adults | 11.0% | 9.6–12.5 |
| High cholesterol among adults who have ever been screened | 35.6% | 32.1–39.2 |
| Obesity among adults | 24.7% | 20.2–29.6 |
| Stroke among adults | 3.6% | 3.3–3.9 |
| All teeth lost among adults aged >=65 years | 7.9% | 6.4–9.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.1% | 5.2–7.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 74.1% | 70.8–77.1 |
| Visits to doctor for routine checkup within the past year among adults | 74.6% | 71.1–77.9 |
| Cholesterol screening among adults | 83.3% | 81.4–85.0 |
| Colorectal cancer screening among adults aged 45–75 years | 66.2% | 61.9–70.1 |
| Visited dentist or dental clinic in the past year among adults | 71.2% | 68.2–74.1 |
| Mammography use among women aged 50-74 years | 73.7% | 67.0–79.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.3% | 15.7–21.2 |
| Current cigarette smoking among adults | 11.8% | 10.3–13.6 |
| No leisure-time physical activity among adults | 19.6% | 16.6–22.7 |
| Short sleep duration among adults | 41.7% | 36.7–46.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.9% | 15.0–19.0 |
| Frequent mental distress among adults | 14.9% | 13.3–16.7 |
| Frequent physical distress among adults | 12.8% | 11.4–14.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.7% | 11.3–14.1 |
| Any disability among adults | 25.8% | 22.7–29.1 |
| Hearing disability among adults | 6.6% | 5.9–7.4 |
| Independent living disability among adults | 6.9% | 6.2–7.7 |
| Mobility disability among adults | 12.0% | 10.6–13.6 |
| Self-care disability among adults | 3.4% | 3.1–3.7 |
| Vision disability among adults | 4.9% | 4.5–5.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 26.0% | 22.9–29.3 |
| Food insecurity in the past 12 months among adults | 15.5% | 13.6–17.5 |
| Received food stamps in the past 12 months among adults | 12.1% | 10.6–13.9 |
| Housing insecurity in the past 12 months among adults | 10.3% | 9.0–11.8 |
| Lack of reliable transportation in the past 12 months among adults | 7.4% | 6.6–8.3 |
| Loneliness among adults | 29.2% | 25.7–32.9 |
| Utility services shut-off threat in the past 12 months among adults | 6.4% | 5.5–7.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | HI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 8.9% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (5.2–19.8%) n=86 |
| Uninsured 18–64 | 5.8% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (1.1–10.4%) n=86 |
| No HS diploma (25+) | 6.7% | 7.9% (1.8–20.7%) n=32,505 | 6.2% (1.5–11.7%) n=90 |
| Bachelor's or higher (25+) | 31.7% | 23.3% (9.2–53.6%) n=32,505 | 31.6% (16.3–48.7%) n=90 |
| Unemployment rate (16+) | 3.8% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (1.9–11.7%) n=89 |
| Households without a vehicle | 3.1% | 3.9% (0.0–12.5%) n=32,322 | 4.1% (0.0–11.0%) n=86 |
| Broadband subscription | 93.0% | 89.3% (75.1–97.1%) n=32,322 | 92.5% (84.3–96.6%) n=86 |
| Housing cost burden (≥30% income) | 39.2% | 23.7% (10.6–40.0%) n=32,322 | 35.3% (21.1–49.6%) n=86 |
| Homeownership rate | 68.1% | 78.7% (51.7–94.0%) n=32,322 | 68.1% (46.6–84.7%) n=86 |
| Crowded housing (>1 per room) | 4.4% | 1.3% (0.0–6.3%) n=32,322 | 7.6% (3.1–16.2%) n=86 |
| Foreign-born population | 13.8% | 2.6% (0.0–18.6%) n=32,553 | 12.5% (5.0–27.3%) n=90 |
| Single-parent households | 53.1% | 53.6% (37.3–74.1%) n=32,087 | 54.6% (41.2–64.3%) n=86 |
| Population 65+ | 24.3% | 19.4% (10.8–33.6%) n=32,553 | 22.2% (12.9–29.5%) n=90 |
| Median age | 47.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 42.8 yr (33.4–51.3) n=90 |
| Median household income | $88,802 | $72,070 ($46,039–$118,707) n=30,318 | $93,346 ($62,869–$124,659) n=83 |
| Median home value | $882,400 | $222,200 ($100,300–$579,820) n=30,049 | $811,050 ($388,170–$1,090,410) n=82 |
| Median gross rent | $2,063 | $1,021 ($677–$1,912) n=25,670 | $1,820 ($1,216–$2,442) n=80 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | HI median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 82.9 yr ± 0.93 | 78.9 yr (74.7–82.8) n=31,308 | 81.0 yr (78.3–85.4) n=84 |
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 0.93 years of 82.9, 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