ZIP code
96815
in Honolulu, HawaiiPopulation 27,530
62.66/ 100
Ranked #3,157 of 32,066 US ZIPs (top 9.9%)
Ranked #16 of 92 Hawaii ZIPs (top 17%)
Ranked #13 of 33 Urban Honolulu, HI ZIPs (top 39%)
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.
Short sleep
45.6%
in the top 2.4% nationally
Lower is healthier
ST67thUS98thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Natural-disaster risk
in the top 1.9% nationally
Lower is healthier
ST77thUS98thDefinition & 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 ›Households without a vehicle
30.4%
in the top 2.3% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Loud transportation noise
2.8%
in the top 4.2% nationally
Lower is healthier
ST92ndUS96thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 65 decibels — around the volume of normal conversation.
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 ›Expected annual disaster loss
$0
in the top 4.6% nationally
Lower is healthier
ST98thUS95thDefinition & 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 ›Obesity
25.9%
in the bottom 7.0% nationally
Lower is healthier
ST45thUS7thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Housing-cost burden
44.9%
in the top 5.6% nationally
Lower is healthier
ST82ndUS94thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Crowded housing
8.6%
in the top 5.9% nationally
Lower is healthier
ST60thUS94thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Air-toxics cancer risk
14.2 per million
in the bottom 6.0% nationally
Lower is healthier
ST67thUS6thDefinition & 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 ›The read
By the composite health measure, ZIP 96815, one of several in Honolulu, Hawaii ranks in the top 9.9% healthiest ZIPs nationally (3,157th) and the top 17% of Hawaii (16th), based on limited data; treat as directional.
The signals balance out across the profile, strengths against concerns: lead in tap water registers at the national minimum, and modeled obesity rests in the bottom 7.0% nationally. Modeled air-toxics cancer risk stands in the bottom 6.0% nationally. Set against that, modeled short sleep lies in the top 2.4% nationally, modeled disaster risk lands in the top 1.9% nationally, and households without a vehicle sits in the top 2.3% nationally. Modeled loud transportation noise is in the top 4.2% nationally, modeled expected annual loss settles in the top 4.6% nationally, and housing-cost burden resides in the top 5.6% nationally. Crowded housing registers in the top 5.9% nationally.
Read against the ZIPs closest to it, park land runs far higher than the surrounding ZIPs on this measure. To spell things out, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Close by, ZIP 96816, 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.
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 85%
22%
Environmental Hazard
healthier than 65%
14%
Preventive Care
healthier than 81%
13%
Mental Health
healthier than 97%
9%
Disability
healthier than 80%
8%
Healthcare Access
healthier than 88%
6%
About typical
Social Need / SDOH
healthier than 58%
17%
Holding it back
Risk Behavior
healthier than 37%
11%
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 ›
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 80.9 ± 1.4 years. A median household income of $77,096 predicts 79.1 years — 1.9 years above.
Ranked #1,001 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
96814
Hawaiishares a border
Score 62.42
Closest healthier
96816
Hawaiishares a border
Score 66.17
Similar health profile
11003
New York99% similar profile
Score 62.33
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 | 23.7% | 21.3–25.9 |
| High blood pressure among adults | 32.8% | 29.8–35.7 |
| Cancer (non-skin) or melanoma among adults | 7.5% | 6.9–8.2 |
| Current asthma among adults | 9.3% | 8.3–10.2 |
| Coronary heart disease among adults | 6.0% | 5.5–6.6 |
| Chronic obstructive pulmonary disease among adults | 5.0% | 4.5–5.5 |
| Depression among adults | 15.6% | 13.5–17.7 |
| Diagnosed diabetes among adults | 12.0% | 10.7–13.2 |
| High cholesterol among adults who have ever been screened | 37.4% | 34.1–40.6 |
| Obesity among adults | 25.9% | 21.6–30.2 |
| Stroke among adults | 3.4% | 3.2–3.7 |
| All teeth lost among adults aged >=65 years | 6.9% | 5.7–8.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 4.5% | 3.9–5.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.5% | 75.9–80.7 |
| Visits to doctor for routine checkup within the past year among adults | 79.6% | 76.8–82.1 |
| Cholesterol screening among adults | 85.0% | 83.4–86.5 |
| Colorectal cancer screening among adults aged 45–75 years | 67.3% | 63.6–70.8 |
| Visited dentist or dental clinic in the past year among adults | 73.4% | 70.6–76.0 |
| Mammography use among women aged 50-74 years | 79.6% | 74.6–83.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.3% | 15.2–19.4 |
| Current cigarette smoking among adults | 9.5% | 8.3–10.8 |
| No leisure-time physical activity among adults | 22.1% | 19.2–25.0 |
| Short sleep duration among adults | 45.6% | 40.9–50.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.2% | 15.5–18.8 |
| Frequent mental distress among adults | 13.3% | 12.0–14.6 |
| Frequent physical distress among adults | 11.5% | 10.4–12.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.0% | 9.9–12.2 |
| Any disability among adults | 27.1% | 24.3–29.8 |
| Hearing disability among adults | 7.0% | 6.3–7.7 |
| Independent living disability among adults | 6.3% | 5.7–6.9 |
| Mobility disability among adults | 12.7% | 11.4–13.9 |
| Self-care disability among adults | 3.1% | 2.8–3.3 |
| Vision disability among adults | 4.7% | 4.3–5.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 27.4% | 24.6–30.3 |
| Food insecurity in the past 12 months among adults | 14.7% | 13.2–16.3 |
| Received food stamps in the past 12 months among adults | 10.1% | 8.7–11.5 |
| Housing insecurity in the past 12 months among adults | 9.0% | 8.0–10.2 |
| Lack of reliable transportation in the past 12 months among adults | 6.1% | 5.4–6.8 |
| Loneliness among adults | 29.7% | 26.6–33.0 |
| Utility services shut-off threat in the past 12 months among adults | 4.9% | 4.3–5.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | HI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 12.2% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (5.2–19.8%) n=86 |
| Uninsured 18–64 | 7.2% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (1.1–10.4%) n=86 |
| No HS diploma (25+) | 6.0% | 7.9% (1.8–20.7%) n=32,505 | 6.2% (1.5–11.7%) n=90 |
| Bachelor's or higher (25+) | 47.6% | 23.3% (9.2–53.6%) n=32,505 | 31.6% (16.3–48.7%) n=90 |
| Unemployment rate (16+) | 7.0% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (1.9–11.7%) n=89 |
| Households without a vehicle | 30.4% | 3.9% (0.0–12.5%) n=32,322 | 4.1% (0.0–11.0%) n=86 |
| Broadband subscription | 85.9% | 89.3% (75.1–97.1%) n=32,322 | 92.5% (84.3–96.6%) n=86 |
| Housing cost burden (≥30% income) | 44.9% | 23.7% (10.6–40.0%) n=32,322 | 35.3% (21.1–49.6%) n=86 |
| Homeownership rate | 44.9% | 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 | 29.8% | 2.6% (0.0–18.6%) n=32,553 | 12.5% (5.0–27.3%) n=90 |
| Single-parent households | 55.6% | 53.6% (37.3–74.1%) n=32,087 | 54.6% (41.2–64.3%) n=86 |
| Population 65+ | 25.7% | 19.4% (10.8–33.6%) n=32,553 | 22.2% (12.9–29.5%) n=90 |
| Median age | 49.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 42.8 yr (33.4–51.3) n=90 |
| Median household income | $77,096 | $72,070 ($46,039–$118,707) n=30,318 | $93,346 ($62,869–$124,659) n=83 |
| Median home value | $621,000 | $222,200 ($100,300–$579,820) n=30,049 | $811,050 ($388,170–$1,090,410) n=82 |
| Median gross rent | $1,958 | $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 | 80.9 yr ± 0.72 | 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 0.72 years of 80.9, 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