ZIP code
96729
in Hoolehua, HawaiiPopulation 1,670
39.49/ 100
Ranked #27,088 of 32,066 US ZIPs (bottom 16%)
Ranked #92 of 92 Hawaii ZIPs (bottom 1.1%)
Ranked #15 of 15 Kahului-Wailuku, HI ZIPs (bottom 6.7%)
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
49.2%
in the top 0.5% nationally
Lower is healthier
ST89thUS99thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Crowded housing
26.5%
in the top 0.7% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Stroke
6.1%
in the top 3.6% nationally
Lower is healthier
ST99thUS96thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Distance to a nursing home
22.6 mi
in the top 2.7% nationally
Lower is healthier
ST96thUS97thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
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 ›Industrial-pollution burden
in the bottom 4.0% nationally
Lower is healthier
ST10thUS4thDefinition & 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 an emergency room
22.6 mi
in the top 4.0% nationally
Lower is healthier
ST99thUS96thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
Full methodology ›Self-care disability
6.8%
in the top 6.8% nationally
Lower is healthier
ST99thUS93rdDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›Food insecurity
30.8%
in the top 5.6% nationally
Lower is healthier
ST99thUS94thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Diabetes
18.6%
in the top 6.5% nationally
Lower is healthier
ST99thUS94thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Cross-source signals
Health need and barriers to care documented here
On our reading, this ZIP code carries the overlap at its acute level: acute means at least three of the six health-need readings and at least three of the six access barriers apply to the same place.
These are two separate readings of public data that both apply to this place — never a claim that one causes the other, never a severity score, and never a statement about any person who lives here.
Health need documented here
- Food insecurity
- Housing insecurity
- Chronic conditions
Barriers to reaching care
- Distance to the nearest emergency room
- Thin local supply of doctors
- Thin local supply of pharmacies
A reading appears below only where this ZIP code is among the most-affected 10% of US ZIP codes on it — one national bar, the same for every ZIP in the country.
See the full care-deserts analysis →The read
Overall, Hoolehua, Hawaii (ZIP 96729) places in the bottom 16% nationally (27,088th) and the bottom 1.1% of Hawaii (92nd), based on limited data; treat as directional.
What the data marks out about this place comes first: modeled short sleep is in the top 0.5% nationally, and crowded housing lands in the top 0.7% nationally. Modeled stroke stands in the top 3.6% nationally, and distance to a nursing home registers in the top 2.7% nationally. Distance to an emergency room settles in the top 4.0% nationally, modeled self-care disability sits in the top 6.8% nationally, and modeled food insecurity lies in the top 5.6% nationally. Modeled diabetes rests in the top 6.5% nationally. On the better side, modeled air-toxics cancer risk resides in the bottom 2.8% nationally, and industrial-pollution burden is in the bottom 4.0% nationally.
Beside the areas that surround it, crowded housing runs far higher than the surrounding ZIPs on this measure. For readers new to these terms, 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. Among nearby ZIPs, the nearest healthier one overall is ZIP 96742, just across the boundary. Further still, the area also shows documented health need overlapping with barriers to reaching care, sitting in the most-affected 10% of US ZIP codes on several need measures and several access barriers.
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
Environmental HazardPartial
in the top 0.2%
14%
Mental Health
healthier than 65%
9%
Holding it back
Chronic Disease Burden
healthier than 21%
22%
Social Need / SDOH
healthier than 14%
17%
Preventive Care
healthier than 11%
13%
Risk Behavior
healthier than 3%
11%
Disability
healthier than 10%
8%
Healthcare Access
healthier than 11%
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
96742
Hawaiishares a border
Score 45.80
Closest healthier
96757
Hawaiishares a border
Score 45.68
Similar health profile
16937
Pennsylvania99% similar profile
Score 45.57
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 | 28.5% | 25.6–31.4 |
| High blood pressure among adults | 36.8% | 33.3–40.3 |
| Cancer (non-skin) or melanoma among adults | 6.5% | 5.9–7.2 |
| Current asthma among adults | 13.5% | 12.0–15.1 |
| Coronary heart disease among adults | 9.4% | 8.3–10.5 |
| Chronic obstructive pulmonary disease among adults | 8.5% | 7.3–9.8 |
| Depression among adults | 17.0% | 14.5–19.6 |
| Diagnosed diabetes among adults | 18.6% | 16.3–20.9 |
| High cholesterol among adults who have ever been screened | 34.9% | 31.4–38.3 |
| Obesity among adults | 39.8% | 33.9–45.7 |
| Stroke among adults | 6.1% | 5.4–6.8 |
| All teeth lost among adults aged >=65 years | 18.8% | 15.3–22.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.7% | 6.2–9.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 73.8% | 70.6–76.7 |
| Visits to doctor for routine checkup within the past year among adults | 72.6% | 69.0–76.0 |
| Cholesterol screening among adults | 79.0% | 76.3–81.4 |
| Colorectal cancer screening among adults aged 45–75 years | 56.8% | 52.0–61.4 |
| Visited dentist or dental clinic in the past year among adults | 57.7% | 54.0–61.4 |
| Mammography use among women aged 50-74 years | 73.2% | 66.2–79.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 19.0% | 16.4–21.9 |
| Current cigarette smoking among adults | 18.4% | 15.2–21.5 |
| No leisure-time physical activity among adults | 25.4% | 21.3–29.8 |
| Short sleep duration among adults | 49.2% | 44.0–54.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 26.6% | 23.1–30.0 |
| Frequent mental distress among adults | 19.5% | 17.1–21.9 |
| Frequent physical distress among adults | 17.2% | 15.0–19.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.0% | 14.8–19.4 |
| Any disability among adults | 36.9% | 32.5–41.1 |
| Hearing disability among adults | 9.1% | 8.0–10.2 |
| Independent living disability among adults | 12.5% | 10.8–14.2 |
| Mobility disability among adults | 21.1% | 18.3–23.8 |
| Self-care disability among adults | 6.8% | 5.9–7.7 |
| Vision disability among adults | 9.0% | 7.9–10.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 30.8% | 26.5–35.2 |
| Food insecurity in the past 12 months among adults | 30.8% | 25.9–35.6 |
| Received food stamps in the past 12 months among adults | 28.6% | 23.7–33.5 |
| Housing insecurity in the past 12 months among adults | 21.2% | 17.8–24.7 |
| Lack of reliable transportation in the past 12 months among adults | 14.6% | 12.4–16.8 |
| Loneliness among adults | 34.6% | 30.1–39.3 |
| Utility services shut-off threat in the past 12 months among adults | 12.8% | 10.8–15.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | HI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 19.8% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (5.2–19.8%) n=86 |
| Uninsured 18–64 | 3.3% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (1.1–10.4%) n=86 |
| No HS diploma (25+) | 5.4% | 7.9% (1.8–20.7%) n=32,505 | 6.2% (1.5–11.7%) n=90 |
| Bachelor's or higher (25+) | 15.1% | 23.3% (9.2–53.6%) n=32,505 | 31.6% (16.3–48.7%) n=90 |
| Unemployment rate (16+) | 4.6% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (1.9–11.7%) n=89 |
| Households without a vehicle | 7.7% | 3.9% (0.0–12.5%) n=32,322 | 4.1% (0.0–11.0%) n=86 |
| Broadband subscription | 77.9% | 89.3% (75.1–97.1%) n=32,322 | 92.5% (84.3–96.6%) n=86 |
| Housing cost burden (≥30% income) | 8.2% | 23.7% (10.6–40.0%) n=32,322 | 35.3% (21.1–49.6%) n=86 |
| Homeownership rate | 84.8% | 78.7% (51.7–94.0%) n=32,322 | 68.1% (46.6–84.7%) n=86 |
| Crowded housing (>1 per room) | 26.5% | 1.3% (0.0–6.3%) n=32,322 | 7.6% (3.1–16.2%) n=86 |
| Foreign-born population | 0.2% | 2.6% (0.0–18.6%) n=32,553 | 12.5% (5.0–27.3%) n=90 |
| Single-parent households | 36.2% | 53.6% (37.3–74.1%) n=32,087 | 54.6% (41.2–64.3%) n=86 |
| Population 65+ | 19.8% | 19.4% (10.8–33.6%) n=32,553 | 22.2% (12.9–29.5%) n=90 |
| Median age | 39.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 42.8 yr (33.4–51.3) n=90 |
| Median household income | $59,375 | $72,070 ($46,039–$118,707) n=30,318 | $93,346 ($62,869–$124,659) n=83 |
| Median home value | $231,900 | $222,200 ($100,300–$579,820) n=30,049 | $811,050 ($388,170–$1,090,410) n=82 |
| Median gross rent | $869 | $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 | 78.7 yr ± 1.15 | 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 1.15 years of 78.7, 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