ZIP code
92678
in Trabuco Canyon, CaliforniaPopulation 664
61.68/ 100
Ranked #3,712 of 32,066 US ZIPs (top 11.6%)
Ranked #428 of 1,719 California ZIPs (top 25%)
Ranked #146 of 371 Los Angeles-Long Beach-Anaheim, CA ZIPs (top 39%)
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.
Park land
85.9%
in the top 0.5% nationally
Higher is healthier
ST98thUS99thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Dental provider access
1.5 per 1,000 residents
in the top 2.3% nationally
Higher is healthier
ST94thUS98thDefinition & 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 ›Home broadband subscription
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Slow internet speeds
3.7%
in the top 3.2% nationally
Lower is healthier
ST94thUS97thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Obesity
25%
in the bottom 5.6% nationally
Lower is healthier
ST26thUS6thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Housing-cost burden
42.7%
in the top 7.3% nationally
Lower is healthier
ST71stUS93rdDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Natural-disaster risk
in the top 7.6% nationally
Lower is healthier
ST67thUS92ndDefinition & 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 ›Transportation noise
0.37%
in the bottom 13.2% nationally
Lower is healthier
ST7thUS13thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›The read
Overall, ZIP 92678, one of several in Trabuco Canyon, California places in the top 11.6% healthiest ZIPs nationally (3,712th) and the top 25% of California (428th).
The measures fall on both sides for this area, fairly evenly: park land sits in the top 0.5% nationally, and dental providers lies in the top 2.3% nationally. Home broadband subscription rests at the national maximum, and modeled obesity resides in the bottom 5.6% nationally. Households without a vehicle is at the national minimum, shared with about 16% of ZIPs. Floodplain exposure lands in the bottom 10.7% nationally. Pulling the other way, slow internet speeds stands in the top 3.2% nationally, housing-cost burden registers in the top 7.3% nationally, and modeled disaster risk settles in the top 7.6% nationally. Lithium in drinking water sits in the top 10.8% nationally.
Beside the areas that surround it, park land runs far higher than the surrounding ZIPs on this measure. For readers new to these terms, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Lithium in drinking water is a natural metal that dissolves into some groundwater and has no federal drinking-water limit yet. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". Among nearby ZIPs, the nearest healthier one overall is ZIP 92679, 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 86%
21%
Social Need / SDOH
healthier than 82%
16%
Environmental Hazard
healthier than 65%
14%
Risk Behavior
healthier than 84%
11%
Disability
healthier than 81%
7%
Climate / Disaster Risk
healthier than 89%
5%
About typical
Preventive Care
healthier than 59%
13%
Mental Health
healthier than 58%
8%
Healthcare Access
healthier than 46%
5%
Nothing measured is holding this score back.
Lifting this score
Social Need / SDOH
healthier than 76%
16%
Environmental Hazard
healthier than 81%
14%
Preventive Care
healthier than 77%
13%
Risk Behavior
healthier than 68%
11%
Disability
healthier than 77%
7%
Climate / Disaster Risk
healthier than 75%
5%
About typical
Chronic Disease Burden
healthier than 58%
21%
Mental Health
healthier than 51%
8%
Holding it back
Healthcare Access
healthier than 29%
5%
Lifting this score
Social Need / SDOH
healthier than 71%
16%
Environmental Hazard
healthier than 95%
14%
Preventive Care
healthier than 83%
13%
Risk Behavior
healthier than 62%
11%
Disability
healthier than 66%
7%
Climate / Disaster Risk
healthier than 63%
5%
Holding it back
Chronic Disease Burden
healthier than 22%
21%
Mental Health
healthier than 24%
8%
Healthcare Access
healthier than 4%
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 ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
92530
Californiashares a border
Score 48.90
Closest healthier
92679
Californiashares a border
Score 68.90
Similar health profile
92106
California99% similar profile
Score 66.04
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 | 22.3% | 19.8–24.8 |
| High blood pressure among adults | 29.8% | 27.0–32.7 |
| Cancer (non-skin) or melanoma among adults | 8.9% | 8.0–9.8 |
| Current asthma among adults | 10.0% | 8.9–11.3 |
| Coronary heart disease among adults | 5.7% | 4.9–6.7 |
| Chronic obstructive pulmonary disease among adults | 5.4% | 4.2–6.9 |
| Depression among adults | 22.2% | 19.5–25.1 |
| Diagnosed diabetes among adults | 9.9% | 8.6–11.5 |
| High cholesterol among adults who have ever been screened | 37.1% | 34.1–40.3 |
| Obesity among adults | 25.0% | 21.4–28.9 |
| Stroke among adults | 2.9% | 2.5–3.4 |
| All teeth lost among adults aged >=65 years | 8.8% | 7.1–10.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.8% | 4.5–7.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 74.3% | 71.1–77.3 |
| Visits to doctor for routine checkup within the past year among adults | 74.6% | 71.7–77.4 |
| Cholesterol screening among adults | 88.3% | 86.6–90.0 |
| Colorectal cancer screening among adults aged 45–75 years | 66.1% | 62.1–69.9 |
| Visited dentist or dental clinic in the past year among adults | 65.5% | 62.5–68.3 |
| Mammography use among women aged 50-74 years | 79.2% | 73.6–84.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.9% | 14.5–19.5 |
| Current cigarette smoking among adults | 9.2% | 6.9–11.8 |
| No leisure-time physical activity among adults | 19.3% | 16.0–23.2 |
| Short sleep duration among adults | 34.0% | 30.3–37.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 18.1% | 15.1–21.7 |
| Frequent mental distress among adults | 16.6% | 14.5–18.8 |
| Frequent physical distress among adults | 12.5% | 10.6–14.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.8% | 10.7–15.1 |
| Any disability among adults | 26.8% | 23.2–31.0 |
| Hearing disability among adults | 5.6% | 4.9–6.5 |
| Independent living disability among adults | 6.9% | 5.7–8.3 |
| Mobility disability among adults | 12.2% | 9.9–14.8 |
| Self-care disability among adults | 3.2% | 2.6–3.9 |
| Vision disability among adults | 4.0% | 3.3–4.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.5% | 20.3–26.9 |
| Food insecurity in the past 12 months among adults | 10.6% | 8.1–13.5 |
| Received food stamps in the past 12 months among adults | 9.3% | 6.9–12.4 |
| Housing insecurity in the past 12 months among adults | 9.2% | 7.4–11.3 |
| Lack of reliable transportation in the past 12 months among adults | 6.3% | 5.2–7.6 |
| Loneliness among adults | 32.6% | 29.0–36.5 |
| Utility services shut-off threat in the past 12 months among adults | 4.9% | 4.0–6.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 8.3% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 11.4% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 2.1% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 43.7% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 1.1% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 100.0% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 42.7% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 86.3% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 12.2% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 40.0% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 17.5% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 39.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $98,333 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $1,007,500 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | — | $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 | 82.6 yr ± 3.21 | 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 3.21 years of 82.6, 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