ZIP code
96705
in Eleele, HawaiiPopulation 2,522
64.67/ 100
Ranked #2,127 of 32,066 US ZIPs (top 6.7%)
Ranked #10 of 92 Hawaii ZIPs (top 10.9%)
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.
Obesity
19.9%
in the bottom 1.0% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Fatal road crashes
0 per 100,000 residents per year
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
Full methodology ›Grocery access
0.39 per 1,000 residents
in the top 2.4% nationally
Higher is healthier
ST95thUS98thDefinition & 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 ›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 ›Distance to a Superfund site
99.1 mi
in the top 3.7% nationally
Higher is healthier
ST56thUS96thDefinition & 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 ›Short sleep
43.3%
in the top 5.8% nationally
Lower is healthier
ST55thUS94thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Crowded housing
8.6%
in the top 6.0% nationally
Lower is healthier
ST59thUS94thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Industrial-pollution burden
in the bottom 8.4% nationally
Lower is healthier
ST24thUS8thDefinition & 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 ›Tooth loss
7.1%
in the bottom 8.7% nationally
Lower is healthier
ST20thUS9thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›The read
By the composite measure, Eleele, Hawaii (ZIP 96705) sits in the top 6.7% healthiest ZIPs nationally (2,127th) and the top 10.9% of Hawaii (10th), based on limited data; treat as directional.
Where the data leans one way, another reading answers it: modeled obesity is in the bottom 1.0% nationally, fatal road crashes rests at the national minimum, and grocery sits in the top 2.4% nationally. Modeled air-toxics cancer risk registers in the bottom 2.8% nationally, distance to a Superfund site lands in the top 3.7% nationally, and lead in tap water resides at the national minimum. Modeled industrial-pollution burden lies in the bottom 8.4% nationally, and household income settles in the top 10.1% nationally. On the other hand, modeled short sleep stands in the top 5.8% nationally, and crowded housing is in the top 6.0% nationally.
Compared with the ZIPs that surround it, park land runs far higher than the surrounding ZIPs on this measure. In plain language, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. ZIP 96722, about 12 miles away, 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.
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 94%
22%
Social Need / SDOH
healthier than 67%
17%
Environmental Hazard
in the top 0.5%
14%
Mental Health
healthier than 99%
9%
Disability
healthier than 86%
8%
About typical
Risk Behavior
healthier than 57%
11%
Holding it back
Preventive Care
healthier than 22%
13%
Healthcare Access
healthier than 33%
6%
No data: Climate / Disaster Risk — not measured in this ZIP, so it is left out of the score entirely rather than estimated.
“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
96716
Hawaiishares a border
Score 51.05
Closest healthier
96722
Hawaiiabout 12 mi away
Score 65.26
Similar health profile
96763
Hawaii98% similar profile
Score 63.25
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 | 21.5% | 19.0–24.0 |
| High blood pressure among adults | 29.8% | 26.6–33.0 |
| Cancer (non-skin) or melanoma among adults | 5.3% | 4.8–5.9 |
| Current asthma among adults | 8.8% | 7.8–9.9 |
| Coronary heart disease among adults | 5.3% | 4.7–6.0 |
| Chronic obstructive pulmonary disease among adults | 4.4% | 3.8–5.1 |
| Depression among adults | 13.9% | 11.7–16.2 |
| Diagnosed diabetes among adults | 11.8% | 10.2–13.4 |
| High cholesterol among adults who have ever been screened | 36.2% | 32.6–39.7 |
| Obesity among adults | 19.9% | 16.1–24.1 |
| Stroke among adults | 3.2% | 2.9–3.6 |
| All teeth lost among adults aged >=65 years | 7.1% | 5.6–8.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.7% | 4.7–7.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 74.4% | 71.2–77.4 |
| Visits to doctor for routine checkup within the past year among adults | 74.6% | 71.1–78.0 |
| Cholesterol screening among adults | 82.6% | 80.5–84.7 |
| Colorectal cancer screening among adults aged 45–75 years | 59.4% | 54.8–63.7 |
| Visited dentist or dental clinic in the past year among adults | 67.5% | 64.2–70.6 |
| Mammography use among women aged 50-74 years | 69.6% | 62.4–76.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.2% | 13.0–17.7 |
| Current cigarette smoking among adults | 10.6% | 8.7–12.6 |
| No leisure-time physical activity among adults | 21.4% | 17.7–25.2 |
| Short sleep duration among adults | 43.3% | 38.1–48.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.3% | 13.9–18.8 |
| Frequent mental distress among adults | 13.3% | 11.7–15.0 |
| Frequent physical distress among adults | 11.4% | 9.9–12.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.3% | 9.7–12.9 |
| Any disability among adults | 23.4% | 20.1–26.7 |
| Hearing disability among adults | 5.7% | 5.0–6.4 |
| Independent living disability among adults | 6.1% | 5.2–6.9 |
| Mobility disability among adults | 10.8% | 9.2–12.5 |
| Self-care disability among adults | 2.9% | 2.6–3.3 |
| Vision disability among adults | 4.8% | 4.2–5.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 29.6% | 25.8–33.6 |
| Food insecurity in the past 12 months among adults | 16.7% | 13.8–19.9 |
| Received food stamps in the past 12 months among adults | 11.4% | 9.3–13.8 |
| Housing insecurity in the past 12 months among adults | 9.8% | 8.3–11.5 |
| Lack of reliable transportation in the past 12 months among adults | 7.3% | 6.3–8.4 |
| Loneliness among adults | 30.7% | 26.8–34.7 |
| Utility services shut-off threat in the past 12 months among adults | 5.7% | 4.8–6.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | HI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.1% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (5.2–19.8%) n=86 |
| Uninsured 18–64 | 2.3% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (1.1–10.4%) n=86 |
| No HS diploma (25+) | 8.2% | 7.9% (1.8–20.7%) n=32,505 | 6.2% (1.5–11.7%) n=90 |
| Bachelor's or higher (25+) | 17.8% | 23.3% (9.2–53.6%) n=32,505 | 31.6% (16.3–48.7%) n=90 |
| Unemployment rate (16+) | 2.7% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (1.9–11.7%) n=89 |
| Households without a vehicle | 4.0% | 3.9% (0.0–12.5%) n=32,322 | 4.1% (0.0–11.0%) n=86 |
| Broadband subscription | 92.3% | 89.3% (75.1–97.1%) n=32,322 | 92.5% (84.3–96.6%) n=86 |
| Housing cost burden (≥30% income) | 19.1% | 23.7% (10.6–40.0%) n=32,322 | 35.3% (21.1–49.6%) n=86 |
| Homeownership rate | 72.0% | 78.7% (51.7–94.0%) n=32,322 | 68.1% (46.6–84.7%) n=86 |
| Crowded housing (>1 per room) | 8.6% | 1.3% (0.0–6.3%) n=32,322 | 7.6% (3.1–16.2%) n=86 |
| Foreign-born population | 23.0% | 2.6% (0.0–18.6%) n=32,553 | 12.5% (5.0–27.3%) n=90 |
| Single-parent households | 57.6% | 53.6% (37.3–74.1%) n=32,087 | 54.6% (41.2–64.3%) n=86 |
| Population 65+ | 14.4% | 19.4% (10.8–33.6%) n=32,553 | 22.2% (12.9–29.5%) n=90 |
| Median age | 39.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 42.8 yr (33.4–51.3) n=90 |
| Median household income | $118,438 | $72,070 ($46,039–$118,707) n=30,318 | $93,346 ($62,869–$124,659) n=83 |
| Median home value | $777,200 | $222,200 ($100,300–$579,820) n=30,049 | $811,050 ($388,170–$1,090,410) n=82 |
| Median gross rent | $1,244 | $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 | 80.4 yr ± 0.76 | 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 0.76 years of 80.4, 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