ZIP code
96703
in Anahola, HawaiiPopulation 3,366
46.70/ 100
Ranked #20,530 of 32,066 US ZIPs (bottom 36%)
Ranked #84 of 92 Hawaii ZIPs (bottom 8.7%)
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
46.1%
in the top 2.0% nationally
Lower is healthier
ST70thUS98thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Crowded housing
14.7%
in the top 2.2% nationally
Lower is healthier
ST86thUS98thDefinition & 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
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 3.1% nationally
Lower is healthier
ST4thUS3rdDefinition & 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 a Superfund site
91.7 mi
in the top 4.1% nationally
Higher is healthier
ST49thUS96thDefinition & 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 ›Civic-institution access
0.76 per 1,000 residents
in the top 6.8% nationally
Higher is healthier
ST98thUS93rdDefinition & source ›
The number of civic and social organizations 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 ›Natural-disaster risk
in the top 7.7% nationally
Lower is healthier
ST32ndUS92ndDefinition & 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 ›Mammography
68.3%
in the bottom 8.3% nationally
Higher is healthier
ST1stUS8thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Housing insecurity
16.3%
in the top 16% nationally
Lower is healthier
ST92ndUS84thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›The read
On the composite measure, Anahola, Hawaii (ZIP 96703) stands in the bottom 36% nationally (20,530th) and the bottom 8.7% of Hawaii (84th), based on limited data; treat as directional.
The weightiest signals in the profile are worth naming up front: modeled short sleep resides in the top 2.0% nationally, and crowded housing stands in the top 2.2% nationally. Modeled disaster risk sits in the top 7.7% nationally, and mammography resides in the bottom 8.3% nationally. Modeled food insecurity stands in the top 12.8% nationally. More positively, modeled air-toxics cancer risk sits in the bottom 2.8% nationally, modeled industrial-pollution burden resides in the bottom 3.1% nationally, and distance to a Superfund site stands in the top 4.1% nationally. Lead in tap water sits at the national minimum, and civic resides in the top 6.8% nationally.
For clarity, 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. Distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. ZIP 96722, just across the boundary, ranks better overall among the ZIPs nearby.
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 Hazard
in the top 0.4%
14%
About typical
Chronic Disease Burden
healthier than 48%
22%
Mental Health
healthier than 57%
9%
Healthcare Access
healthier than 60%
6%
Holding it back
Social Need / SDOH
healthier than 32%
17%
Preventive Care
healthier than 13%
13%
Risk Behavior
healthier than 9%
11%
Disability
healthier than 28%
8%
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
96722
Hawaiishares a border
Score 65.26
Closest healthier
96746
Hawaiishares a border
Score 60.50
Similar health profile
32058
Florida94% similar profile
Score 44.07
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 | 29.0% | 26.2–31.8 |
| High blood pressure among adults | 35.2% | 32.0–38.6 |
| Cancer (non-skin) or melanoma among adults | 7.2% | 6.5–7.9 |
| Current asthma among adults | 12.5% | 11.1–14.0 |
| Coronary heart disease among adults | 8.1% | 7.3–9.0 |
| Chronic obstructive pulmonary disease among adults | 7.8% | 6.9–8.8 |
| Depression among adults | 19.4% | 16.7–22.4 |
| Diagnosed diabetes among adults | 13.8% | 12.3–15.6 |
| High cholesterol among adults who have ever been screened | 34.9% | 31.5–38.5 |
| Obesity among adults | 32.4% | 27.2–38.1 |
| Stroke among adults | 5.0% | 4.5–5.5 |
| All teeth lost among adults aged >=65 years | 12.3% | 9.9–14.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.7% | 6.4–9.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 73.1% | 69.9–76.1 |
| Visits to doctor for routine checkup within the past year among adults | 73.0% | 69.3–76.5 |
| Cholesterol screening among adults | 79.3% | 77.0–81.6 |
| Colorectal cancer screening among adults aged 45–75 years | 61.6% | 57.1–65.8 |
| Visited dentist or dental clinic in the past year among adults | 66.2% | 62.9–69.3 |
| Mammography use among women aged 50-74 years | 68.3% | 60.8–74.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.9% | 16.2–21.9 |
| Current cigarette smoking among adults | 16.1% | 13.9–18.4 |
| No leisure-time physical activity among adults | 23.3% | 19.9–26.9 |
| Short sleep duration among adults | 46.1% | 41.0–51.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 22.8% | 20.2–25.5 |
| Frequent mental distress among adults | 18.7% | 16.8–20.8 |
| Frequent physical distress among adults | 16.1% | 14.4–17.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.8% | 14.9–18.7 |
| Any disability among adults | 32.6% | 29.0–36.1 |
| Hearing disability among adults | 8.1% | 7.2–9.0 |
| Independent living disability among adults | 10.3% | 9.1–11.5 |
| Mobility disability among adults | 16.4% | 14.5–18.4 |
| Self-care disability among adults | 5.2% | 4.7–5.7 |
| Vision disability among adults | 7.1% | 6.4–7.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 28.2% | 24.9–31.9 |
| Food insecurity in the past 12 months among adults | 23.8% | 20.6–27.2 |
| Received food stamps in the past 12 months among adults | 21.3% | 18.1–24.6 |
| Housing insecurity in the past 12 months among adults | 16.3% | 14.0–18.8 |
| Lack of reliable transportation in the past 12 months among adults | 11.4% | 10.0–13.0 |
| Loneliness among adults | 31.7% | 27.9–35.7 |
| Utility services shut-off threat in the past 12 months among adults | 10.4% | 8.9–12.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | HI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 9.4% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (5.2–19.8%) n=86 |
| Uninsured 18–64 | 4.8% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (1.1–10.4%) n=86 |
| No HS diploma (25+) | 7.0% | 7.9% (1.8–20.7%) n=32,505 | 6.2% (1.5–11.7%) n=90 |
| Bachelor's or higher (25+) | 15.7% | 23.3% (9.2–53.6%) n=32,505 | 31.6% (16.3–48.7%) n=90 |
| Unemployment rate (16+) | 2.8% | 3.9% (0.0–9.8%) n=32,274 | 4.5% (1.9–11.7%) n=89 |
| Households without a vehicle | 1.9% | 3.9% (0.0–12.5%) n=32,322 | 4.1% (0.0–11.0%) n=86 |
| Broadband subscription | 95.7% | 89.3% (75.1–97.1%) n=32,322 | 92.5% (84.3–96.6%) n=86 |
| Housing cost burden (≥30% income) | 14.7% | 23.7% (10.6–40.0%) n=32,322 | 35.3% (21.1–49.6%) n=86 |
| Homeownership rate | 90.6% | 78.7% (51.7–94.0%) n=32,322 | 68.1% (46.6–84.7%) n=86 |
| Crowded housing (>1 per room) | 14.7% | 1.3% (0.0–6.3%) n=32,322 | 7.6% (3.1–16.2%) n=86 |
| Foreign-born population | 2.2% | 2.6% (0.0–18.6%) n=32,553 | 12.5% (5.0–27.3%) n=90 |
| Single-parent households | 51.1% | 53.6% (37.3–74.1%) n=32,087 | 54.6% (41.2–64.3%) n=86 |
| Population 65+ | 19.5% | 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 | $98,214 | $72,070 ($46,039–$118,707) n=30,318 | $93,346 ($62,869–$124,659) n=83 |
| Median home value | $537,600 | $222,200 ($100,300–$579,820) n=30,049 | $811,050 ($388,170–$1,090,410) n=82 |
| Median gross rent | $2,015 | $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 | 84.0 yr ± 2.74 | 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 2.74 years of 84.0, 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