ZIP code
96753
in Kihei, HawaiiPopulation 28,003
59.31/ 100
Ranked #5,361 of 32,066 US ZIPs (top 17%)
Ranked #36 of 92 Hawaii ZIPs (top 39%)
Ranked #4 of 15 Kahului-Wailuku, HI ZIPs (top 27%)
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 0.8% nationally
Lower is healthier
ST91stUS99thDefinition & 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 ›Distance to a Superfund site
104.8 mi
in the top 3.4% nationally
Higher is healthier
ST63rdUS97thDefinition & 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 ›Housing-cost burden
45.7%
in the top 5.1% nationally
Lower is healthier
ST85thUS95thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Recreation access
1.1 per 1,000 residents
in the top 6.9% nationally
Higher is healthier
ST91stUS93rdDefinition & source ›
The number of places for physical recreation — gyms, sports, and fitness venues — 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 ›Binge drinking
19.9%
in the top 6.6% nationally
Lower is healthier
ST84thUS93rdDefinition & source ›
The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.
Full methodology ›Air-toxics cancer risk
20 per million
in the bottom 8.1% nationally
Lower is healthier
ST85thUS8thDefinition & 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 ›Outpatient-care access
0.43 per 1,000 residents
in the top 10.1% nationally
Higher is healthier
ST93rdUS90thDefinition & source ›
The number of outpatient clinics located 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 ›The read
In overall standing, Kihei, Hawaii (ZIP 96753) comes out in the top 17% healthiest ZIPs nationally (5,361st) and the top 39% of Hawaii (36th), based on limited data; treat as directional.
The measures fall on both sides of the ledger for this area: distance to a Superfund site registers in the top 3.4% nationally, lead in tap water stands at the national minimum, and recreation lands in the top 6.9% nationally. Modeled air-toxics cancer risk is in the bottom 8.1% nationally, modeled obesity resides in the bottom 10.5% nationally, and outpatient rests in the top 10.1% nationally. Distance to a community health center lies at the national minimum, shared with about 23% of ZIPs. Set against that, modeled disaster risk sits in the top 0.8% nationally, and housing-cost burden settles in the top 5.1% nationally. Modeled binge drinking registers in the top 6.6% nationally.
Relative to the ZIPs around it, park land runs far higher than the surrounding ZIPs on this measure. In plain terms, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. 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. The nearest healthier ZIP overall is ZIP 96732, just across the boundary.
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 78%
22%
Social Need / SDOH
healthier than 67%
17%
Environmental Hazard
healthier than 96%
14%
Mental Health
healthier than 90%
9%
Disability
healthier than 69%
8%
Healthcare Access
healthier than 72%
6%
About typical
Preventive Care
healthier than 47%
13%
Holding it back
Risk Behavior
healthier than 40%
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 82.3 ± 1.6 years. A median household income of $88,408 predicts 79.6 years — 2.7 years above.
Ranked #560 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
96732
Hawaiishares a border
Score 61.53
Closest healthier
96793
Hawaiishares a border
Score 60.50
Similar health profile
96746
Hawaii99% similar profile
Score 60.50
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% | 23.2–28.5 |
| High blood pressure among adults | 30.6% | 27.5–33.9 |
| Cancer (non-skin) or melanoma among adults | 9.0% | 8.2–9.8 |
| Current asthma among adults | 10.4% | 9.3–11.7 |
| Coronary heart disease among adults | 6.4% | 5.8–7.1 |
| Chronic obstructive pulmonary disease among adults | 6.2% | 5.5–6.9 |
| Depression among adults | 17.2% | 14.7–19.8 |
| Diagnosed diabetes among adults | 11.1% | 9.8–12.6 |
| High cholesterol among adults who have ever been screened | 35.0% | 31.6–38.6 |
| Obesity among adults | 27.6% | 22.9–32.7 |
| Stroke among adults | 3.6% | 3.4–3.9 |
| All teeth lost among adults aged >=65 years | 8.5% | 6.9–10.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.9% | 5.0–6.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 74.3% | 71.1–77.4 |
| Visits to doctor for routine checkup within the past year among adults | 74.4% | 71.0–77.6 |
| Cholesterol screening among adults | 84.5% | 82.8–86.2 |
| Colorectal cancer screening among adults aged 45–75 years | 64.1% | 59.9–68.2 |
| Visited dentist or dental clinic in the past year among adults | 68.2% | 64.9–71.3 |
| Mammography use among women aged 50-74 years | 78.9% | 73.2–83.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 19.9% | 17.3–22.8 |
| Current cigarette smoking among adults | 13.3% | 11.6–15.2 |
| No leisure-time physical activity among adults | 18.8% | 16.1–21.8 |
| Short sleep duration among adults | 39.1% | 34.4–44.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.0% | 15.2–19.1 |
| Frequent mental distress among adults | 15.0% | 13.4–16.7 |
| Frequent physical distress among adults | 12.8% | 11.5–14.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.3% | 11.0–13.7 |
| Any disability among adults | 27.6% | 24.6–30.8 |
| Hearing disability among adults | 7.3% | 6.5–8.1 |
| Independent living disability among adults | 7.2% | 6.4–7.9 |
| Mobility disability among adults | 13.6% | 12.2–15.3 |
| Self-care disability among adults | 3.6% | 3.3–4.0 |
| 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 | 25.6% | 22.3–29.3 |
| Food insecurity in the past 12 months among adults | 15.5% | 13.4–17.7 |
| Received food stamps in the past 12 months among adults | 12.9% | 11.1–15.0 |
| Housing insecurity in the past 12 months among adults | 10.2% | 8.8–11.9 |
| Lack of reliable transportation in the past 12 months among adults | 7.3% | 6.4–8.4 |
| Loneliness among adults | 30.3% | 26.4–34.8 |
| Utility services shut-off threat in the past 12 months among adults | 5.9% | 5.0–6.9 |
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 | 6.7% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (1.1–10.4%) n=86 |
| No HS diploma (25+) | 4.3% | 7.9% (1.8–20.7%) n=32,505 | 6.2% (1.5–11.7%) n=90 |
| Bachelor's or higher (25+) | 36.2% | 23.3% (9.2–53.6%) n=32,505 | 31.6% (16.3–48.7%) n=90 |
| Unemployment rate (16+) | 6.2% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (1.9–11.7%) n=89 |
| Households without a vehicle | 4.2% | 3.9% (0.0–12.5%) n=32,322 | 4.1% (0.0–11.0%) n=86 |
| Broadband subscription | 92.9% | 89.3% (75.1–97.1%) n=32,322 | 92.5% (84.3–96.6%) n=86 |
| Housing cost burden (≥30% income) | 45.7% | 23.7% (10.6–40.0%) n=32,322 | 35.3% (21.1–49.6%) n=86 |
| Homeownership rate | 62.2% | 78.7% (51.7–94.0%) n=32,322 | 68.1% (46.6–84.7%) n=86 |
| Crowded housing (>1 per room) | 5.7% | 1.3% (0.0–6.3%) n=32,322 | 7.6% (3.1–16.2%) n=86 |
| Foreign-born population | 17.9% | 2.6% (0.0–18.6%) n=32,553 | 12.5% (5.0–27.3%) n=90 |
| Single-parent households | 58.8% | 53.6% (37.3–74.1%) n=32,087 | 54.6% (41.2–64.3%) n=86 |
| Population 65+ | 23.4% | 19.4% (10.8–33.6%) n=32,553 | 22.2% (12.9–29.5%) n=90 |
| Median age | 46.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 42.8 yr (33.4–51.3) n=90 |
| Median household income | $88,408 | $72,070 ($46,039–$118,707) n=30,318 | $93,346 ($62,869–$124,659) n=83 |
| Median home value | $1,033,600 | $222,200 ($100,300–$579,820) n=30,049 | $811,050 ($388,170–$1,090,410) n=82 |
| Median gross rent | $2,112 | $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 | 82.3 yr ± 0.81 | 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 0.81 years of 82.3, 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