ZIP code
91775
in San Gabriel, CaliforniaPopulation 23,672
66.06/ 100
Ranked #1,595 of 32,066 US ZIPs (top 5.0%)
Ranked #231 of 1,719 California ZIPs (top 13.5%)
Ranked #74 of 371 Los Angeles-Long Beach-Anaheim, CA ZIPs (top 20%)
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.
Obesity
18.6%
in the bottom 0.6% nationally
Lower is healthier
ST3rdUS1stDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Loud transportation noise
3.4%
in the top 3.0% nationally
Lower is healthier
ST81stUS97thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 65 decibels — around the volume of normal conversation.
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 ›Fatal road crashes
0.8 per 100,000 residents per year
in the bottom 4.3% nationally
Lower is healthier
ST3rdUS4thDefinition & 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 ›Air-toxics cancer risk
40 per million
in the top 4.5% nationally
Lower is healthier
ST73rdUS96thDefinition & 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 ›Tree cover
0.00%
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Utility shut-off threat
4.2%
in the bottom 5.0% nationally
Lower is healthier
ST12thUS5thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Colon-cancer screening
55.9%
in the bottom 5.9% nationally
Higher is healthier
ST25thUS6thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Distance to a Superfund site
0.4 mi
in the bottom 5.3% nationally
Higher is healthier
ST8thUS5thDefinition & 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 ›Fine-particle (PM2.5) exceedance
1.5%
in the top 6.2% nationally
Lower is healthier
ST59thUS94thDefinition & 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 ›The read
By the composite health measure, ZIP 91775, one of several in San Gabriel, California ranks in the top 5.0% healthiest ZIPs nationally (1,595th) and the top 13.5% of California (231st).
A number of measures pull each way for this area: modeled obesity settles in the bottom 0.6% nationally, and floodplain exposure resides at the national minimum. Fatal road crashes registers in the bottom 4.3% nationally, and modeled utility shutoff rests in the bottom 5.0% nationally. Set against that, modeled loud transportation noise stands in the top 3.0% nationally, air-toxics cancer risk lies in the top 4.5% nationally, and tree cover lands at the national minimum. Modeled colon screening sits in the bottom 5.9% nationally, distance to a Superfund site is in the bottom 5.3% nationally, and modeled fine-particle settles in the top 6.2% nationally.
Read against the ZIPs closest to it, park land runs far lower than the surrounding ZIPs on this measure. To spell things out, 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. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Close by, ZIP 91007, 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. 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 96%
21%
Social Need / SDOH
healthier than 68%
16%
Risk Behavior
healthier than 94%
11%
Mental Health
healthier than 99%
8%
Disability
healthier than 88%
7%
Climate / Disaster Risk
healthier than 66%
5%
Healthcare Access
healthier than 94%
5%
Holding it back
Environmental Hazard
healthier than 10%
14%
Preventive Care
healthier than 36%
13%
Lifting this score
Chronic Disease Burden
healthier than 88%
21%
Social Need / SDOH
healthier than 63%
16%
Risk Behavior
healthier than 87%
11%
Mental Health
healthier than 99%
8%
Disability
healthier than 84%
7%
Healthcare Access
healthier than 90%
5%
About typical
Preventive Care
healthier than 59%
13%
Climate / Disaster Risk
healthier than 48%
5%
Holding it back
Environmental Hazard
healthier than 35%
14%
Lifting this score
Chronic Disease Burden
healthier than 81%
21%
Environmental Hazard
healthier than 65%
14%
Preventive Care
healthier than 67%
13%
Risk Behavior
healthier than 86%
11%
Mental Health
healthier than 97%
8%
Disability
healthier than 79%
7%
Healthcare Access
healthier than 88%
5%
About typical
Social Need / SDOH
healthier than 57%
16%
Holding it back
Climate / Disaster Risk
healthier than 22%
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
4 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.
Above what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 85.9 ± 2.0 years. A median household income of $118,610 predicts 80.8 years — 5.1 years above.
Ranked #56 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Above its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 85.9 ± 2.0 years. The 49 nearest ZIP codes with estimates average 82.2 years — 3.7 years above them.
Ranked #463 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 10.1; chronic-disease standing 95.7 (top 10%) — 86 points apart, heavier on the environment than it is on chronic illness.
Ranked #17,597 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 85.9 ± 2.0 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
91007
Californiashares a border
Score 68.14
Closest healthier
91107
Californiashares a border
Score 66.79
Similar health profile
95132
California99% similar profile
Score 67.95
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 | 18.7% | 17.2–20.1 |
| High blood pressure among adults | 29.3% | 27.3–31.2 |
| Cancer (non-skin) or melanoma among adults | 5.9% | 5.4–6.4 |
| Current asthma among adults | 7.5% | 6.8–8.3 |
| Coronary heart disease among adults | 4.8% | 4.4–5.3 |
| Chronic obstructive pulmonary disease among adults | 3.7% | 3.3–4.1 |
| Depression among adults | 15.0% | 13.5–16.5 |
| Diagnosed diabetes among adults | 12.2% | 11.1–13.4 |
| High cholesterol among adults who have ever been screened | 40.0% | 37.7–42.4 |
| Obesity among adults | 18.6% | 16.5–20.8 |
| Stroke among adults | 2.8% | 2.6–3.0 |
| All teeth lost among adults aged >=65 years | 6.7% | 5.4–8.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.3% | 5.5–7.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.3% | 72.9–77.5 |
| Visits to doctor for routine checkup within the past year among adults | 75.1% | 72.9–77.1 |
| Cholesterol screening among adults | 88.3% | 87.0–89.4 |
| Colorectal cancer screening among adults aged 45–75 years | 55.9% | 52.5–59.1 |
| Visited dentist or dental clinic in the past year among adults | 65.6% | 63.2–67.8 |
| Mammography use among women aged 50-74 years | 75.8% | 70.7–80.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.0% | 10.7–13.5 |
| Current cigarette smoking among adults | 8.1% | 7.1–9.1 |
| No leisure-time physical activity among adults | 22.5% | 20.4–24.7 |
| Short sleep duration among adults | 34.5% | 31.7–37.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.9% | 16.4–19.5 |
| Frequent mental distress among adults | 12.5% | 11.3–13.6 |
| Frequent physical distress among adults | 11.2% | 10.2–12.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 10.6% | 9.5–11.6 |
| Any disability among adults | 25.0% | 23.0–27.0 |
| Hearing disability among adults | 5.2% | 4.7–5.7 |
| Independent living disability among adults | 5.9% | 5.4–6.5 |
| Mobility disability among adults | 11.5% | 10.4–12.6 |
| Self-care disability among adults | 2.9% | 2.7–3.2 |
| Vision disability among adults | 4.4% | 4.0–4.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 31.2% | 28.9–33.8 |
| Food insecurity in the past 12 months among adults | 13.3% | 11.9–14.8 |
| Received food stamps in the past 12 months among adults | 9.7% | 8.5–10.9 |
| Housing insecurity in the past 12 months among adults | 10.1% | 9.0–11.2 |
| Lack of reliable transportation in the past 12 months among adults | 6.4% | 5.7–7.1 |
| Loneliness among adults | 38.8% | 36.2–41.6 |
| Utility services shut-off threat in the past 12 months among adults | 4.2% | 3.7–4.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 8.6% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 5.0% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 8.2% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 52.8% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 5.8% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 3.9% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 95.8% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 35.1% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 64.1% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 5.3% | 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 | 50.5% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 20.3% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 45.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $118,610 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $1,092,700 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $2,153 | $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 | 85.9 yr ± 1.00 | 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 1.00 years of 85.9, 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