ZIP code
90716
in Hawaiian Gardens, CaliforniaPopulation 13,599
49.12/ 100
Ranked #17,491 of 32,066 US ZIPs (bottom 45%)
Ranked #1,132 of 1,719 California ZIPs (bottom 34%)
Ranked #300 of 371 Los Angeles-Long Beach-Anaheim, CA ZIPs (bottom 19%)
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.
Colon-cancer screening
48.9%
in the bottom 1.6% nationally
Higher is healthier
ST8thUS2ndDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Crowded housing
29.4%
in the top 0.6% 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 ›Loneliness
43.8%
in the top 0.9% nationally
Lower is healthier
ST96thUS99thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Walkability
210 intersections/sq mi
in the top 2.1% nationally
Higher is healthier
ST96thUS98thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Uninsured (under 65)
19.8%
in the top 4.7% nationally
Lower is healthier
ST91stUS95thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Grocery access
0.35 per 1,000 residents
in the top 2.9% nationally
Higher is healthier
ST98thUS97thDefinition & source ›
The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Floodplain exposure
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›Fine-particle (PM2.5) exceedance
2.5%
in the top 3.3% nationally
Lower is healthier
ST71stUS97thDefinition & source ›
The share of days in the year when modeled fine-particle (PM2.5) pollution was above the EPA’s daily limit of 35 micrograms per cubic meter.
Full methodology ›Housing insecurity
24.9%
in the top 4.1% nationally
Lower is healthier
ST91stUS96thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›PFOS in drinking water
99.2%
in the top 4.4% nationally
Lower is healthier
ST93rdUS96thDefinition & source ›
The share of residents served by public water systems where PFOS, one of the most common “forever chemicals,” was detected in EPA testing.
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 ›The read
By its overall health score, Hawaiian Gardens, California (ZIP 90716) lands in the bottom 45% nationally (17,491st) and the bottom 34% of California (1,132nd).
The burdens that read clearest in the data come first: modeled colon screening settles in the bottom 1.6% nationally, and crowded housing lies in the top 0.6% nationally. Modeled loneliness resides in the top 0.9% nationally, and uninsured lands in the top 4.7% nationally. Modeled fine-particle registers in the top 3.3% nationally, modeled housing insecurity sits in the top 4.1% nationally, and PFOS in drinking water rests in the top 4.4% nationally. Better still, walkability is in the top 2.1% nationally, grocery stands in the top 2.9% nationally, and floodplain exposure settles at the national minimum.
Weighed against the ZIPs nearby, crowded housing runs far higher than the surrounding ZIPs on this measure. To translate a couple of terms, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. PFOS in drinking water is a common one of the man-made "forever chemicals" that build up in the body and environment instead of breaking down. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". Overall, the nearest healthier neighbor is ZIP 90630, 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. Compare it against the US, this state and the Los Angeles-Long Beach-Anaheim, CA metro area.
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 91%
21%
Mental Health
healthier than 69%
8%
Climate / Disaster Risk
healthier than 95%
5%
Healthcare Access
healthier than 79%
5%
About typical
Risk Behavior
healthier than 41%
11%
Holding it back
Social Need / SDOH
healthier than 20%
16%
Environmental Hazard
healthier than 6%
14%
Preventive Care
healthier than 3%
13%
Disability
healthier than 25%
7%
Lifting this score
Chronic Disease Burden
healthier than 73%
21%
Mental Health
healthier than 64%
8%
Climate / Disaster Risk
healthier than 90%
5%
About typical
Healthcare Access
healthier than 58%
5%
Holding it back
Social Need / SDOH
healthier than 26%
16%
Environmental Hazard
healthier than 27%
14%
Preventive Care
healthier than 11%
13%
Risk Behavior
healthier than 21%
11%
Disability
healthier than 24%
7%
Lifting this score
Climate / Disaster Risk
healthier than 91%
5%
About typical
Chronic Disease Burden
healthier than 47%
21%
Environmental Hazard
healthier than 58%
14%
Holding it back
Social Need / SDOH
healthier than 22%
16%
Preventive Care
healthier than 12%
13%
Risk Behavior
healthier than 17%
11%
Mental Health
healthier than 37%
8%
Disability
healthier than 16%
7%
Healthcare Access
healthier than 25%
5%
“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
2 of our published findings list 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.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 6.7 (bottom 10%); chronic-disease standing 91.1 (top 10%) — 84 points apart, heavier on the environment than it is on chronic illness.
Ranked #17,517 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Highest-risk tenth
Air toxics and the years between the two ends of the risk scale
Modeled air-toxics cancer risk is 40.0 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 79.9 ± 2.7 years.
Ranked #504 of the 4,173 ZIP codes this finding names, ordered by modeled air-toxics risk, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
90630
Californiashares a border
Score 64.15
Closest healthier
90715
Californiashares a border
Score 58.22
Similar health profile
90005
California98% similar profile
Score 51.14
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 | 17.6% | 16.1–19.1 |
| High blood pressure among adults | 28.8% | 26.8–30.9 |
| Cancer (non-skin) or melanoma among adults | 4.0% | 3.6–4.4 |
| Current asthma among adults | 8.9% | 8.0–9.8 |
| Coronary heart disease among adults | 5.2% | 4.7–5.7 |
| Chronic obstructive pulmonary disease among adults | 4.8% | 4.2–5.4 |
| Depression among adults | 18.8% | 16.9–20.7 |
| Diagnosed diabetes among adults | 14.0% | 12.6–15.3 |
| High cholesterol among adults who have ever been screened | 35.9% | 33.6–38.1 |
| Obesity among adults | 29.0% | 26.1–32.0 |
| Stroke among adults | 3.2% | 2.9–3.5 |
| All teeth lost among adults aged >=65 years | 10.4% | 8.5–12.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 19.8% | 16.6–23.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 68.6% | 66.0–71.1 |
| Visits to doctor for routine checkup within the past year among adults | 68.5% | 65.8–71.0 |
| Cholesterol screening among adults | 80.7% | 78.4–82.9 |
| Colorectal cancer screening among adults aged 45–75 years | 48.9% | 45.3–52.2 |
| Visited dentist or dental clinic in the past year among adults | 51.1% | 48.4–53.5 |
| Mammography use among women aged 50-74 years | 74.7% | 69.6–79.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.9% | 13.3–16.7 |
| Current cigarette smoking among adults | 12.7% | 11.1–14.5 |
| No leisure-time physical activity among adults | 33.2% | 30.0–36.4 |
| Short sleep duration among adults | 37.8% | 34.7–40.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 30.8% | 27.9–33.7 |
| Frequent mental distress among adults | 17.8% | 16.0–19.5 |
| Frequent physical distress among adults | 16.2% | 14.7–17.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 19.1% | 17.1–21.2 |
| Any disability among adults | 36.4% | 33.4–39.5 |
| Hearing disability among adults | 5.8% | 5.2–6.4 |
| Independent living disability among adults | 10.3% | 9.2–11.5 |
| Mobility disability among adults | 16.6% | 15.0–18.3 |
| Self-care disability among adults | 5.4% | 4.8–6.1 |
| Vision disability among adults | 8.8% | 7.9–9.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 35.2% | 32.2–38.4 |
| Food insecurity in the past 12 months among adults | 31.2% | 27.4–35.1 |
| Received food stamps in the past 12 months among adults | 26.3% | 22.7–30.0 |
| Housing insecurity in the past 12 months among adults | 24.9% | 22.0–27.9 |
| Lack of reliable transportation in the past 12 months among adults | 14.3% | 12.5–16.2 |
| Loneliness among adults | 43.8% | 40.8–47.0 |
| Utility services shut-off threat in the past 12 months among adults | 10.5% | 9.1–11.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 16.4% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 22.5% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 32.0% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 16.8% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 4.8% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 9.1% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 88.6% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 44.5% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 42.9% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 29.4% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 41.3% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 36.2% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 16.2% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 34.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $76,410 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $569,400 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,696 | $1,021 ($677–$1,912) n=25,670 | $1,912 ($1,113–$2,923) n=1,461 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 79.9 yr ± 1.38 | 78.9 yr (74.7–82.8) n=31,308 | 80.5 yr (76.7–83.8) n=1,665 |
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 1.38 years of 79.9, 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