ZIP code
91780
in Temple City, CaliforniaPopulation 35,588
62.70/ 100
Ranked #3,126 of 32,066 US ZIPs (top 9.8%)
Ranked #375 of 1,719 California ZIPs (top 22%)
Ranked #123 of 371 Los Angeles-Long Beach-Anaheim, CA ZIPs (top 33%)
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
18.4%
in the bottom 0.5% 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 ›Colon-cancer screening
53.3%
in the bottom 3.6% nationally
Higher is healthier
ST16thUS4thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
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 ›Loneliness
40.6%
in the top 3.3% nationally
Lower is healthier
ST87thUS97thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Binge drinking
11.0%
in the bottom 3.1% nationally
Lower is healthier
ST2ndUS3rdDefinition & source ›
The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.
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 ›Expected annual disaster loss
$0
in the top 4.7% nationally
Lower is healthier
ST77thUS95thDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›Walkability
160 intersections/sq mi
in the top 4.7% nationally
Higher is healthier
ST88thUS95thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
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 ›Fine-particle (PM2.5) exceedance
1.9%
in the top 5.1% nationally
Lower is healthier
ST63rdUS95thDefinition & 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
Temple City, California (ZIP 91780), on the composite measure, lands in the top 9.8% healthiest ZIPs nationally (3,126th) and the top 22% of California (375th).
Where the data leans one way, another reading answers it: modeled obesity resides in the bottom 0.5% nationally, floodplain exposure lies at the national minimum, and modeled binge drinking settles in the bottom 3.1% nationally. Walkability stands in the top 4.7% nationally. On the other hand, modeled colon screening is in the bottom 3.6% nationally, and loneliness rests in the top 3.3% nationally. Modeled air-toxics cancer risk sits in the top 4.5% nationally, and expected annual loss registers in the top 4.7% nationally. Modeled tree cover lands at the national minimum, and fine-particle resides in the top 5.1% nationally.
Set against the neighboring ZIPs, park land runs far lower than the surrounding ZIPs on this measure. In everyday language, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. A healthier neighbor overall sits at ZIP 91006, 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 95%
21%
Risk Behavior
healthier than 90%
11%
Mental Health
healthier than 98%
8%
Disability
healthier than 82%
7%
Healthcare Access
healthier than 80%
5%
About typical
Social Need / SDOH
healthier than 54%
16%
Climate / Disaster Risk
healthier than 55%
5%
Holding it back
Environmental Hazard
healthier than 6%
14%
Preventive Care
healthier than 25%
13%
Lifting this score
Chronic Disease Burden
healthier than 84%
21%
Risk Behavior
healthier than 80%
11%
Mental Health
healthier than 98%
8%
Disability
healthier than 77%
7%
About typical
Social Need / SDOH
healthier than 53%
16%
Preventive Care
healthier than 47%
13%
Climate / Disaster Risk
healthier than 42%
5%
Healthcare Access
healthier than 60%
5%
Holding it back
Environmental Hazard
healthier than 25%
14%
Lifting this score
Chronic Disease Burden
healthier than 70%
21%
Risk Behavior
healthier than 78%
11%
Mental Health
healthier than 97%
8%
Disability
healthier than 67%
7%
About typical
Social Need / SDOH
healthier than 47%
16%
Environmental Hazard
healthier than 56%
14%
Preventive Care
healthier than 54%
13%
Holding it back
Climate / Disaster Risk
healthier than 15%
5%
Healthcare Access
healthier than 28%
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 84.1 ± 1.2 years. A median household income of $103,659 predicts 80.2 years — 3.9 years above.
Ranked #197 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 84.1 ± 1.2 years. The 50 nearest ZIP codes with estimates average 82.0 years — 2.1 years above them.
Ranked #1,349 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 6.0 (bottom 10%); chronic-disease standing 94.5 (top 10%) — 89 points apart, heavier on the environment than it is on chronic illness.
Ranked #17,787 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 84.1 ± 1.2 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
91006
Californiashares a border
Score 67.04
Closest healthier
91007
Californiashares a border
Score 68.14
Similar health profile
91748
California99% similar profile
Score 60.54
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 | 18.5% | 17.0–20.1 |
| High blood pressure among adults | 30.0% | 27.9–32.0 |
| Cancer (non-skin) or melanoma among adults | 5.3% | 4.9–5.8 |
| Current asthma among adults | 7.5% | 6.7–8.3 |
| Coronary heart disease among adults | 5.1% | 4.6–5.5 |
| Chronic obstructive pulmonary disease among adults | 4.2% | 3.7–4.6 |
| Depression among adults | 14.8% | 13.3–16.3 |
| Diagnosed diabetes among adults | 13.3% | 12.1–14.7 |
| High cholesterol among adults who have ever been screened | 40.5% | 38.1–42.8 |
| Obesity among adults | 18.4% | 16.3–20.5 |
| Stroke among adults | 3.0% | 2.8–3.2 |
| All teeth lost among adults aged >=65 years | 8.1% | 6.6–9.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.0% | 6.2–7.9 |
| 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 | 74.4% | 72.1–76.5 |
| Cholesterol screening among adults | 86.9% | 85.5–88.1 |
| Colorectal cancer screening among adults aged 45–75 years | 53.3% | 49.7–56.5 |
| Visited dentist or dental clinic in the past year among adults | 63.0% | 60.5–65.2 |
| Mammography use among women aged 50-74 years | 74.6% | 69.3–79.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 11.0% | 9.8–12.4 |
| Current cigarette smoking among adults | 9.5% | 8.4–10.7 |
| No leisure-time physical activity among adults | 25.5% | 23.2–27.8 |
| Short sleep duration among adults | 35.5% | 32.7–38.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.1% | 18.5–21.8 |
| Frequent mental distress among adults | 13.1% | 11.9–14.3 |
| Frequent physical distress among adults | 12.0% | 10.9–13.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.5% | 10.5–12.6 |
| Any disability among adults | 26.6% | 24.6–28.7 |
| Hearing disability among adults | 5.4% | 4.8–5.9 |
| Independent living disability among adults | 6.6% | 6.0–7.2 |
| Mobility disability among adults | 12.6% | 11.5–13.8 |
| Self-care disability among adults | 3.2% | 3.0–3.5 |
| Vision disability among adults | 5.0% | 4.6–5.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 34.0% | 31.5–36.7 |
| Food insecurity in the past 12 months among adults | 16.4% | 14.6–18.1 |
| Received food stamps in the past 12 months among adults | 12.1% | 10.7–13.5 |
| Housing insecurity in the past 12 months among adults | 11.4% | 10.2–12.7 |
| Lack of reliable transportation in the past 12 months among adults | 7.4% | 6.6–8.2 |
| Loneliness among adults | 40.6% | 37.9–43.5 |
| Utility services shut-off threat in the past 12 months among adults | 4.6% | 4.1–5.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 9.6% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 7.0% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 14.2% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 42.3% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 6.2% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 3.2% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 94.3% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 39.5% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 61.9% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 7.7% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 49.7% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 41.6% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 18.6% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 42.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $103,659 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $950,300 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $2,155 | $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 | 84.1 yr ± 0.61 | 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 0.61 years of 84.1, 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