ZIP code
92663
in Newport Beach, CaliforniaPopulation 21,368
66.57/ 100
Ranked #1,412 of 32,066 US ZIPs (top 4.5%)
Ranked #199 of 1,719 California ZIPs (top 11.6%)
Ranked #62 of 371 Los Angeles-Long Beach-Anaheim, CA ZIPs (top 17%)
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.
Physician access
9.1 per 1,000 residents
in the top 0.4% nationally
Higher is healthier
ST99thUS99thDefinition & 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 ›Outpatient-care access
1.3 per 1,000 residents
in the top 1.0% nationally
Higher is healthier
ST99thUS99thDefinition & 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 ›Mental-health provider access
0.38 per 1,000 residents
in the top 1.4% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of mental-health 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 ›Obesity
23.4%
in the bottom 3.4% nationally
Lower is healthier
ST18thUS3rdDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Recreation access
1.7 per 1,000 residents
in the top 2.6% nationally
Higher is healthier
ST95thUS97thDefinition & source ›
The number of places for physical recreation — gyms, sports, and fitness venues — 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
1.4 per 1,000 residents
in the top 2.8% nationally
Higher is healthier
ST93rdUS97thDefinition & 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 ›Median household income
$141,541
in the top 5.0% nationally
Higher is healthier
ST84thUS95thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Civic-institution access
1.2 per 1,000 residents
in the top 3.2% nationally
Higher is healthier
ST93rdUS97thDefinition & source ›
The number of civic and social organizations 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 ›Walkability
160 intersections/sq mi
in the top 4.4% nationally
Higher is healthier
ST89thUS96thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Energy-cost burden
1.1%
in the bottom 1.4% nationally
Lower is healthier
ST7thUS1stDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›The read
Judged by its overall standing, ZIP 92663, one of several in Newport Beach, California sits in the top 4.5% healthiest ZIPs nationally (1,412th) and the top 11.6% of California (199th), based on limited data; treat as directional.
An even profile, with readings pulling both ways: physicians stands in the top 0.4% nationally, outpatient resides in the top 1.0% nationally, and mental-health providers sits in the top 1.4% nationally. Modeled obesity stands in the bottom 3.4% nationally, recreation resides in the top 2.6% nationally, and dental providers sits in the top 2.8% nationally. Household income stands in the top 5.0% nationally, and civic resides in the top 3.2% nationally. Walkability sits in the top 4.4% nationally, and modeled energy burden stands in the bottom 1.4% nationally.
Placed beside its immediate neighbors, physicians runs far higher than the surrounding ZIPs on this measure. Put plainly, energy burden is the share of household income that goes to home energy bills. A healthier nearby ZIP overall is ZIP 92660, 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 93%
21%
Social Need / SDOH
healthier than 98%
16%
Preventive Care
healthier than 71%
13%
Risk Behavior
healthier than 90%
11%
Mental Health
healthier than 64%
8%
Disability
healthier than 91%
7%
Healthcare Access
in the top 0.00%
5%
About typical
Environmental Hazard
healthier than 45%
14%
Nothing measured is holding this score back.
Not placed: Climate / Disaster Risk — too little of each is measured here to compare reliably. They still count toward the score (together 5% of it); we just will not publish a standing we cannot stand behind.
Lifting this score
Chronic Disease Burden
healthier than 80%
21%
Social Need / SDOH
healthier than 97%
16%
Environmental Hazard
healthier than 70%
14%
Preventive Care
healthier than 85%
13%
Risk Behavior
healthier than 80%
11%
Disability
healthier than 87%
7%
Healthcare Access
in the top 0.00%
5%
About typical
Mental Health
healthier than 59%
8%
Nothing measured is holding this score back.
Not placed: Climate / Disaster Risk — too little of each is measured here to compare reliably. They still count toward the score (together 5% of it); we just will not publish a standing we cannot stand behind.
Lifting this score
Chronic Disease Burden
healthier than 61%
21%
Social Need / SDOH
healthier than 98%
16%
Environmental Hazard
healthier than 89%
14%
Preventive Care
healthier than 89%
13%
Risk Behavior
healthier than 78%
11%
Disability
healthier than 82%
7%
Healthcare Access
in the top 0.00%
5%
Holding it back
Mental Health
healthier than 32%
8%
Not placed: Climate / Disaster Risk — too little of each is measured here to compare reliably. They still count toward the score (together 5% of it); we just will not publish a standing we cannot stand behind.
“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
92627
Californiashares a border
Score 58.33
Closest healthier
92660
Californiashares a border
Score 67.68
Similar health profile
94705
California99% similar profile
Score 68.56
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 | 20.2% | 18.2–22.4 |
| High blood pressure among adults | 27.6% | 25.1–30.2 |
| Cancer (non-skin) or melanoma among adults | 9.0% | 8.2–9.8 |
| Current asthma among adults | 9.6% | 8.6–10.8 |
| Coronary heart disease among adults | 5.3% | 4.7–5.9 |
| Chronic obstructive pulmonary disease among adults | 4.3% | 3.8–4.9 |
| Depression among adults | 22.1% | 19.5–24.8 |
| Diagnosed diabetes among adults | 8.4% | 7.4–9.5 |
| High cholesterol among adults who have ever been screened | 34.8% | 31.9–37.6 |
| Obesity among adults | 23.4% | 20.0–27.1 |
| Stroke among adults | 2.6% | 2.4–2.8 |
| All teeth lost among adults aged >=65 years | 5.8% | 4.7–7.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 4.9% | 4.1–5.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 72.9% | 70.1–75.6 |
| Visits to doctor for routine checkup within the past year among adults | 73.7% | 70.8–76.5 |
| Cholesterol screening among adults | 88.3% | 86.8–89.7 |
| Colorectal cancer screening among adults aged 45–75 years | 67.9% | 64.0–71.5 |
| Visited dentist or dental clinic in the past year among adults | 72.9% | 70.3–75.4 |
| Mammography use among women aged 50-74 years | 80.9% | 75.5–85.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.4% | 15.8–20.9 |
| Current cigarette smoking among adults | 7.5% | 6.3–8.8 |
| No leisure-time physical activity among adults | 16.7% | 14.6–19.3 |
| Short sleep duration among adults | 31.3% | 27.8–34.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 15.2% | 13.5–17.2 |
| Frequent mental distress among adults | 16.0% | 14.4–17.8 |
| Frequent physical distress among adults | 10.8% | 9.6–12.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.6% | 10.3–13.1 |
| Any disability among adults | 24.7% | 22.2–27.6 |
| Hearing disability among adults | 5.6% | 5.0–6.3 |
| Independent living disability among adults | 6.1% | 5.4–6.9 |
| Mobility disability among adults | 10.3% | 9.0–11.6 |
| Self-care disability among adults | 2.5% | 2.3–2.8 |
| Vision disability among adults | 3.3% | 3.0–3.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.1% | 19.4–24.8 |
| Food insecurity in the past 12 months among adults | 8.3% | 7.0–9.8 |
| Received food stamps in the past 12 months among adults | 7.3% | 6.1–8.6 |
| Housing insecurity in the past 12 months among adults | 8.0% | 6.8–9.3 |
| Lack of reliable transportation in the past 12 months among adults | 5.5% | 4.8–6.3 |
| Loneliness among adults | 32.0% | 28.5–35.5 |
| Utility services shut-off threat in the past 12 months among adults | 4.4% | 3.7–5.1 |
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 | 3.3% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 2.4% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 64.9% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 3.5% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 5.0% | 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) | 42.2% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 48.4% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 2.0% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 12.3% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 61.9% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 22.5% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 42.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $141,541 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $2,000,001 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $2,992 | $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 unavailable for this ZIP — fewer than 80% of the census tracts that make it up could be matched across the 2010→2020 tract-boundary revision, so no value is published rather than an unreliable one. See how coverage gaps are handled. | |||
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