ZIP code
91765
in Diamond Bar, CaliforniaPopulation 44,502
66.04/ 100
Ranked #1,605 of 32,066 US ZIPs (top 5.1%)
Ranked #235 of 1,719 California ZIPs (top 13.7%)
Ranked #76 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
18.3%
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 ›Fine-particle (PM2.5) exceedance
2.7%
in the top 2.9% nationally
Lower is healthier
ST74thUS97thDefinition & 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 ›Utility shut-off threat
4.0%
in the bottom 3.8% nationally
Lower is healthier
ST10thUS4thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
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 ›Dental provider access
1.1 per 1,000 residents
in the top 5.7% nationally
Higher is healthier
ST85thUS94thDefinition & source ›
The number of dental offices located 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 ›Loneliness
39%
in the top 6.0% nationally
Lower is healthier
ST77thUS94thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Binge drinking
11.6%
in the bottom 4.9% nationally
Lower is healthier
ST3rdUS5thDefinition & 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 ›Hearing disability
4.9%
in the bottom 5.7% nationally
Lower is healthier
ST12thUS6thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Cognitive disability
10.2%
in the bottom 5.9% nationally
Lower is healthier
ST9thUS6thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Colon-cancer screening
57.3%
in the bottom 7.9% nationally
Higher is healthier
ST30thUS8thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›The read
In its overall standing, Diamond Bar, California (ZIP 91765) lands in the top 5.1% healthiest ZIPs nationally (1,605th) and the top 13.7% of California (235th).
Reading the numbers as a whole, the picture lands somewhere in between: modeled obesity settles in the bottom 0.5% nationally, modeled utility shutoff is in the bottom 3.8% nationally, and dental providers sits in the top 5.7% nationally. Modeled binge drinking lands in the bottom 4.9% nationally, hearing disability lies in the bottom 5.7% nationally, and cognitive disability stands in the bottom 5.9% nationally. On the other side, modeled fine-particle rests in the top 2.9% nationally, and air-toxics cancer risk registers in the top 4.5% nationally. Modeled loneliness resides in the top 6.0% nationally, and colon screening settles in the bottom 7.9% nationally.
Against the wider neighborhood, park land runs far lower than the surrounding ZIPs on this measure. Put simply, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. On the overall standing, ZIP 91789, just across the boundary, ranks healthier.
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 71%
16%
Risk Behavior
healthier than 95%
11%
Mental Health
healthier than 99%
8%
Disability
healthier than 91%
7%
Healthcare Access
healthier than 64%
5%
About typical
Preventive Care
healthier than 44%
13%
Climate / Disaster Risk
healthier than 47%
5%
Holding it back
Environmental Hazard
healthier than 4%
14%
Lifting this score
Chronic Disease Burden
healthier than 88%
21%
Social Need / SDOH
healthier than 66%
16%
Preventive Care
healthier than 65%
13%
Risk Behavior
healthier than 90%
11%
Mental Health
in the top 1.0%
8%
Disability
healthier than 87%
7%
About typical
Healthcare Access
healthier than 41%
5%
Holding it back
Environmental Hazard
healthier than 17%
14%
Climate / Disaster Risk
healthier than 37%
5%
Lifting this score
Chronic Disease Burden
healthier than 83%
21%
Social Need / SDOH
healthier than 60%
16%
Preventive Care
healthier than 71%
13%
Risk Behavior
healthier than 90%
11%
Mental Health
healthier than 98%
8%
Disability
healthier than 83%
7%
About typical
Environmental Hazard
healthier than 43%
14%
Holding it back
Climate / Disaster Risk
healthier than 11%
5%
Healthcare Access
healthier than 8%
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 84.8 ± 1.7 years. A median household income of $105,565 predicts 80.3 years — 4.5 years above.
Ranked #107 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 84.8 ± 1.7 years. The 49 nearest ZIP codes with estimates average 81.3 years — 3.5 years above them.
Ranked #561 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 3.7 (bottom 10%); chronic-disease standing 95.9 (top 10%) — 92 points apart, heavier on the environment than it is on chronic illness.
Ranked #17,998 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 84.8 ± 1.7 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
91709
Californiashares a border
Score 63.31
Closest healthier
91789
Californiashares a border
Score 68.43
Similar health profile
91006
California100% similar profile
Score 67.04
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 | 18.3% | 16.8–19.8 |
| High blood pressure among adults | 29.4% | 27.4–31.4 |
| Cancer (non-skin) or melanoma among adults | 5.6% | 5.1–6.1 |
| Current asthma among adults | 7.5% | 6.7–8.2 |
| Coronary heart disease among adults | 4.7% | 4.3–5.2 |
| Chronic obstructive pulmonary disease among adults | 3.6% | 3.2–4.0 |
| Depression among adults | 14.7% | 13.2–16.2 |
| Diagnosed diabetes among adults | 12.4% | 11.3–13.6 |
| High cholesterol among adults who have ever been screened | 40.0% | 37.7–42.3 |
| Obesity among adults | 18.3% | 16.2–20.4 |
| Stroke among adults | 2.8% | 2.6–3.0 |
| All teeth lost among adults aged >=65 years | 6.4% | 5.2–7.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.5% | 4.7–6.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.6% | 73.3–77.8 |
| Visits to doctor for routine checkup within the past year among adults | 75.3% | 73.0–77.4 |
| Cholesterol screening among adults | 88.2% | 87.0–89.4 |
| Colorectal cancer screening among adults aged 45–75 years | 57.3% | 53.8–60.4 |
| Visited dentist or dental clinic in the past year among adults | 67.0% | 64.6–69.2 |
| Mammography use among women aged 50-74 years | 76.8% | 71.8–80.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 11.6% | 10.3–13.0 |
| Current cigarette smoking among adults | 7.8% | 6.9–8.7 |
| No leisure-time physical activity among adults | 21.9% | 19.7–23.9 |
| Short sleep duration among adults | 34.5% | 31.6–37.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.3% | 15.8–18.7 |
| Frequent mental distress among adults | 12.3% | 11.2–13.4 |
| Frequent physical distress among adults | 10.8% | 9.8–11.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 10.2% | 9.2–11.1 |
| Any disability among adults | 24.1% | 22.1–25.9 |
| Hearing disability among adults | 4.9% | 4.4–5.4 |
| Independent living disability among adults | 5.7% | 5.1–6.2 |
| Mobility disability among adults | 11.1% | 10.1–12.2 |
| Self-care disability among adults | 2.8% | 2.6–3.1 |
| Vision disability among adults | 4.2% | 3.9–4.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 31.5% | 29.1–34.2 |
| Food insecurity in the past 12 months among adults | 12.8% | 11.4–14.3 |
| Received food stamps in the past 12 months among adults | 9.2% | 8.1–10.5 |
| Housing insecurity in the past 12 months among adults | 9.6% | 8.6–10.8 |
| Lack of reliable transportation in the past 12 months among adults | 6.2% | 5.6–7.0 |
| Loneliness among adults | 39.0% | 36.4–41.9 |
| Utility services shut-off threat in the past 12 months among adults | 4.0% | 3.5–4.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 10.7% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 4.2% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 7.9% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 53.7% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 5.0% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 2.7% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 95.7% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 39.4% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 77.5% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 4.0% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 47.5% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 53.6% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 21.9% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 46.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $105,565 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $915,100 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $2,486 | $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 | 84.8 yr ± 0.88 | 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 0.88 years of 84.8, 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