ZIP code
92868
in Orange, CaliforniaPopulation 26,380
56.42/ 100
Ranked #7,847 of 32,066 US ZIPs (top 24%)
Ranked #701 of 1,719 California ZIPs (top 41%)
Ranked #215 of 371 Los Angeles-Long Beach-Anaheim, CA ZIPs (bottom 42%)
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.
Loud transportation noise
8.3%
in the top 0.5% nationally
Lower is healthier
ST98thUS99thDefinition & 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 ›Physician access
6.3 per 1,000 residents
in the top 0.8% nationally
Higher is healthier
ST98thUS99thDefinition & source ›
The number of physicians’ 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 ›Transportation noise
21.5%
in the top 2.2% nationally
Lower is healthier
ST94thUS98thDefinition & 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 ›Outpatient-care access
0.92 per 1,000 residents
in the top 2.3% nationally
Higher is healthier
ST97thUS98thDefinition & source ›
The number of outpatient clinics 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 ›Dental provider access
1.5 per 1,000 residents
in the top 2.4% 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 ›High blood pressure
24.5%
in the bottom 2.5% nationally
Lower is healthier
ST5thUS2ndDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Expected annual disaster loss
$0
in the top 3.2% nationally
Lower is healthier
ST82ndUS97thDefinition & 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 ›Homeownership rate
30.9%
in the bottom 3.3% nationally
Higher is healthier
ST9thUS3rdDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Crowded housing
11.9%
in the top 3.4% nationally
Lower is healthier
ST82ndUS97thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
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 ›The read
ZIP 92868, one of several in Orange, California, overall, ranks in the top 24% healthiest ZIPs nationally (7,847th) and the top 41% of California (701st).
Taken together, the data gives a genuinely mixed reading: physicians lies in the top 0.8% nationally, outpatient stands in the top 2.3% nationally, and dental providers rests in the top 2.4% nationally. Modeled high blood pressure registers in the bottom 2.5% nationally. On the other side, modeled loud transportation noise resides in the top 0.5% nationally, and transportation noise settles in the top 2.2% nationally. Modeled expected annual loss is in the top 3.2% nationally, and homeownership sits in the bottom 3.3% nationally. Crowded housing lands in the top 3.4% nationally, and modeled air-toxics cancer risk lies in the top 4.5% nationally.
Measured against the nearby ZIPs, physicians runs far higher than the surrounding ZIPs on this measure. Defined simply, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Loud transportation noise is the modeled share of an area exposed to road, rail, and air noise at or above 65 decibels, near conversation volume. ZIP 92705, just across the boundary, comes out 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 97%
21%
Social Need / SDOH
healthier than 70%
16%
Risk Behavior
healthier than 62%
11%
Disability
healthier than 74%
7%
Climate / Disaster Risk
healthier than 79%
5%
Healthcare Access
in the top 0.00%
5%
About typical
Mental Health
healthier than 60%
8%
Holding it back
Environmental Hazard
in the bottom 0.6%
14%
Preventive Care
healthier than 10%
13%
Lifting this score
Chronic Disease Burden
healthier than 93%
21%
Social Need / SDOH
healthier than 65%
16%
Disability
healthier than 69%
7%
Healthcare Access
in the top 0.00%
5%
About typical
Mental Health
healthier than 54%
8%
Climate / Disaster Risk
healthier than 59%
5%
Holding it back
Environmental Hazard
healthier than 4%
14%
Preventive Care
healthier than 29%
13%
Risk Behavior
healthier than 37%
11%
Lifting this score
Chronic Disease Burden
healthier than 93%
21%
Healthcare Access
in the top 0.00%
5%
About typical
Social Need / SDOH
healthier than 59%
16%
Disability
healthier than 57%
7%
Holding it back
Environmental Hazard
healthier than 14%
14%
Preventive Care
healthier than 37%
13%
Risk Behavior
healthier than 33%
11%
Mental Health
healthier than 28%
8%
Climate / Disaster Risk
healthier than 37%
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 0.6 (bottom 1%); chronic-disease standing 97.2 (top 10%) — 97 points apart, heavier on the environment than it is on chronic illness.
Ranked #18,152 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 81.6 ± 1.9 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
92705
Californiashares a border
Score 59.97
Closest healthier
92867
Californiashares a border
Score 57.51
Similar health profile
91210
California98% similar profile
Score 54.39
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 | 14.8% | 13.2–16.4 |
| High blood pressure among adults | 24.5% | 22.2–26.9 |
| Cancer (non-skin) or melanoma among adults | 4.6% | 4.2–5.1 |
| Current asthma among adults | 9.0% | 8.0–10.1 |
| Coronary heart disease among adults | 4.3% | 3.9–4.8 |
| Chronic obstructive pulmonary disease among adults | 3.9% | 3.5–4.3 |
| Depression among adults | 19.9% | 17.5–22.5 |
| Diagnosed diabetes among adults | 9.7% | 8.6–10.9 |
| High cholesterol among adults who have ever been screened | 31.4% | 28.7–34.2 |
| Obesity among adults | 26.0% | 22.4–29.9 |
| Stroke among adults | 2.4% | 2.2–2.6 |
| All teeth lost among adults aged >=65 years | 9.2% | 7.5–11.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 12.6% | 10.5–14.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 65.8% | 62.8–68.7 |
| Visits to doctor for routine checkup within the past year among adults | 68.7% | 65.4–71.8 |
| Cholesterol screening among adults | 83.0% | 80.9–84.9 |
| Colorectal cancer screening among adults aged 45–75 years | 57.4% | 53.2–61.5 |
| Visited dentist or dental clinic in the past year among adults | 62.0% | 59.2–64.9 |
| Mammography use among women aged 50-74 years | 78.7% | 73.0–83.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.0% | 15.5–20.6 |
| Current cigarette smoking among adults | 9.8% | 8.4–11.3 |
| No leisure-time physical activity among adults | 24.8% | 21.7–28.0 |
| Short sleep duration among adults | 36.0% | 32.3–39.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.9% | 19.6–24.5 |
| Frequent mental distress among adults | 18.0% | 16.2–20.0 |
| Frequent physical distress among adults | 12.3% | 10.9–13.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.4% | 13.8–17.3 |
| Any disability among adults | 28.5% | 25.6–31.7 |
| Hearing disability among adults | 4.8% | 4.2–5.3 |
| Independent living disability among adults | 7.6% | 6.8–8.5 |
| Mobility disability among adults | 11.3% | 10.0–12.6 |
| Self-care disability among adults | 3.3% | 3.0–3.6 |
| Vision disability among adults | 5.3% | 4.8–5.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 29.8% | 26.5–33.0 |
| Food insecurity in the past 12 months among adults | 19.1% | 16.6–21.9 |
| Received food stamps in the past 12 months among adults | 15.3% | 13.3–17.7 |
| Housing insecurity in the past 12 months among adults | 16.4% | 14.3–18.9 |
| Lack of reliable transportation in the past 12 months among adults | 9.9% | 8.8–11.3 |
| Loneliness among adults | 37.1% | 33.2–40.9 |
| Utility services shut-off threat in the past 12 months among adults | 7.9% | 6.8–9.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 11.2% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 9.2% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 13.0% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 35.7% | 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 | 6.7% | 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) | 45.3% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 30.9% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 11.9% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 26.9% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 47.6% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 12.1% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 34.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $97,500 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $762,000 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $2,458 | $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 | 81.6 yr ± 0.95 | 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 0.95 years of 81.6, 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