ZIP code
96772
in Naalehu, HawaiiPopulation 2,470
51.95/ 100
Ranked #13,509 of 32,066 US ZIPs (top 42%)
Ranked #72 of 92 Hawaii ZIPs (bottom 22%)
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.
Air-toxics cancer risk
10 per million
in the bottom 0.6% nationally
Lower is healthier
ST2ndUS1stDefinition & 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
207.7 mi
in the top 0.9% nationally
Higher is healthier
ST90thUS99thDefinition & 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 ›Distance to a hazardous-chemical facility
45.1 mi
in the top 1.0% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest facility that handles enough hazardous chemicals to require an EPA risk-management plan for accidental releases.
Full methodology ›Natural-disaster risk
in the top 1.1% nationally
Lower is healthier
ST85thUS99thDefinition & 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 nursing home
31.9 mi
in the top 1.4% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Crowded housing
7.1%
in the top 8.3% nationally
Lower is healthier
ST39thUS92ndDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Stroke
5.1%
in the top 12.8% nationally
Lower is healthier
ST91stUS87thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Child-care access
0.39 per 1,000 residents
in the top 18% nationally
Higher is healthier
ST95thUS82ndDefinition & source ›
The number of child day-care services 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 ›Median household income
$48,914
in the bottom 13.0% nationally
Higher is healthier
ST4thUS13thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Fatal road crashes
24.3 per 100,000 residents per year
in the top 20% nationally
Lower is healthier
ST96thUS80thDefinition & 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 ›The read
By the composite measure, Naalehu, Hawaii (ZIP 96772) sits in the top 42% healthiest ZIPs nationally (13,509th) and the bottom 22% of Hawaii (72nd), based on limited data; treat as directional.
The profile cuts both ways, and the readings bear that out: modeled air-toxics cancer risk stands in the bottom 0.6% nationally, distance to a Superfund site is in the top 0.9% nationally, and distance to a hazardous-chemical facility rests in the top 1.0% nationally. Modeled obesity sits in the bottom 12.4% nationally. Distance to a community health center registers at the national minimum, shared with about 23% of ZIPs. Childcare lands in the top 18% nationally. Working the other way, modeled disaster risk resides in the top 1.1% nationally, and distance to a nursing home lies in the top 1.4% nationally. Crowded housing settles in the top 8.3% nationally, and modeled stroke stands in the top 12.8% nationally.
Compared with the ZIPs that surround it, distance to a hazardous-chemical facility 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. Distance to a hazardous-chemical facility is a plant handling large amounts of hazardous chemicals that must file an EPA risk-management plan for accidental releases. ZIP 96704, 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
Environmental HazardPartial
in the top 0.00%
14%
Mental Health
healthier than 81%
9%
About typical
Chronic Disease Burden
healthier than 44%
22%
Risk Behavior
healthier than 43%
11%
Holding it back
Social Need / SDOH
healthier than 15%
17%
Preventive Care
healthier than 37%
13%
Disability
healthier than 29%
8%
Healthcare Access
healthier than 13%
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
96704
Hawaiishares a border
Score 54.89
Closest healthier
96726
Hawaiiabout 15 mi away
Score 52.12
Similar health profile
99826
Alaska90% similar profile
Score 49.21
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 | 31.4% | 28.5–34.4 |
| High blood pressure among adults | 34.8% | 31.5–38.2 |
| Cancer (non-skin) or melanoma among adults | 9.7% | 8.9–10.6 |
| Current asthma among adults | 11.0% | 9.8–12.3 |
| Coronary heart disease among adults | 9.0% | 8.1–9.9 |
| Chronic obstructive pulmonary disease among adults | 8.8% | 7.7–10.0 |
| Depression among adults | 20.0% | 17.4–22.9 |
| Diagnosed diabetes among adults | 14.0% | 12.4–15.8 |
| High cholesterol among adults who have ever been screened | 37.5% | 34.1–41.1 |
| Obesity among adults | 28.4% | 23.8–33.5 |
| Stroke among adults | 5.1% | 4.6–5.6 |
| All teeth lost among adults aged >=65 years | 11.0% | 9.1–13.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.7% | 5.7–7.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.1% | 76.2–81.8 |
| Visits to doctor for routine checkup within the past year among adults | 77.2% | 74.2–80.1 |
| Cholesterol screening among adults | 83.4% | 81.6–85.1 |
| Colorectal cancer screening among adults aged 45–75 years | 65.4% | 61.3–69.2 |
| Visited dentist or dental clinic in the past year among adults | 60.5% | 57.0–63.7 |
| Mammography use among women aged 50-74 years | 71.8% | 65.8–77.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.0% | 13.9–18.3 |
| Current cigarette smoking among adults | 16.0% | 13.9–18.2 |
| No leisure-time physical activity among adults | 24.1% | 20.7–27.7 |
| Short sleep duration among adults | 38.5% | 33.9–43.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 22.8% | 20.4–25.3 |
| Frequent mental distress among adults | 15.2% | 13.6–16.9 |
| Frequent physical distress among adults | 16.2% | 14.6–17.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.6% | 13.1–16.2 |
| Any disability among adults | 34.7% | 31.3–38.3 |
| Hearing disability among adults | 9.8% | 8.8–10.9 |
| Independent living disability among adults | 9.3% | 8.4–10.3 |
| Mobility disability among adults | 17.1% | 15.1–19.1 |
| Self-care disability among adults | 5.1% | 4.6–5.6 |
| Vision disability among adults | 6.8% | 6.1–7.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 28.9% | 25.8–32.4 |
| Food insecurity in the past 12 months among adults | 20.7% | 18.5–23.4 |
| Received food stamps in the past 12 months among adults | 18.5% | 16.1–21.1 |
| Housing insecurity in the past 12 months among adults | 12.4% | 10.9–14.1 |
| Lack of reliable transportation in the past 12 months among adults | 9.6% | 8.5–10.8 |
| Loneliness among adults | 29.8% | 26.6–33.6 |
| Utility services shut-off threat in the past 12 months among adults | 7.6% | 6.7–8.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | HI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 17.1% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (5.2–19.8%) n=86 |
| Uninsured 18–64 | 20.5% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (1.1–10.4%) n=86 |
| No HS diploma (25+) | 6.8% | 7.9% (1.8–20.7%) n=32,505 | 6.2% (1.5–11.7%) n=90 |
| Bachelor's or higher (25+) | 23.6% | 23.3% (9.2–53.6%) n=32,505 | 31.6% (16.3–48.7%) n=90 |
| Unemployment rate (16+) | 6.5% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (1.9–11.7%) n=89 |
| Households without a vehicle | 1.0% | 3.9% (0.0–12.5%) n=32,322 | 4.1% (0.0–11.0%) n=86 |
| Broadband subscription | 88.5% | 89.3% (75.1–97.1%) n=32,322 | 92.5% (84.3–96.6%) n=86 |
| Housing cost burden (≥30% income) | 30.1% | 23.7% (10.6–40.0%) n=32,322 | 35.3% (21.1–49.6%) n=86 |
| Homeownership rate | 80.0% | 78.7% (51.7–94.0%) n=32,322 | 68.1% (46.6–84.7%) n=86 |
| Crowded housing (>1 per room) | 7.1% | 1.3% (0.0–6.3%) n=32,322 | 7.6% (3.1–16.2%) n=86 |
| Foreign-born population | 10.9% | 2.6% (0.0–18.6%) n=32,553 | 12.5% (5.0–27.3%) n=90 |
| Single-parent households | 62.8% | 53.6% (37.3–74.1%) n=32,087 | 54.6% (41.2–64.3%) n=86 |
| Population 65+ | 34.9% | 19.4% (10.8–33.6%) n=32,553 | 22.2% (12.9–29.5%) n=90 |
| Median age | 51.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 42.8 yr (33.4–51.3) n=90 |
| Median household income | $48,914 | $72,070 ($46,039–$118,707) n=30,318 | $93,346 ($62,869–$124,659) n=83 |
| Median home value | $403,200 | $222,200 ($100,300–$579,820) n=30,049 | $811,050 ($388,170–$1,090,410) n=82 |
| Median gross rent | $1,603 | $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 | 77.6 yr ± 0.79 | 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 0.79 years of 77.6, 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