ZIP code
90275
in Rancho Palos Verdes, CaliforniaPopulation 40,945
71.45/ 100
Ranked #355 of 32,066 US ZIPs (top 1.2%)
Ranked #58 of 1,719 California ZIPs (top 3.4%)
Ranked #12 of 371 Los Angeles-Long Beach-Anaheim, CA ZIPs (top 3.3%)
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.
Median household income
$179,469
in the top 1.8% nationally
Higher is healthier
ST93rdUS98thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Utility shut-off threat
2.7%
in the bottom 0.2% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Obesity
18.5%
in the bottom 0.6% 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 ›Lack of transportation
4.1%
in the bottom 1.9% nationally
Lower is healthier
ST3rdUS2ndDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Housing insecurity
5.9%
in the bottom 2.4% nationally
Lower is healthier
ST4thUS2ndDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Food insecurity
6.7%
in the bottom 2.9% nationally
Lower is healthier
ST4thUS3rdDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Cognitive disability
8.7%
in the bottom 1.6% nationally
Lower is healthier
ST2ndUS2ndDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Fatal road crashes
1 per 100,000 residents per year
in the bottom 4.5% nationally
Lower is healthier
ST3rdUS4thDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
Full methodology ›Energy-cost burden
1.2%
in the bottom 1.9% nationally
Lower is healthier
ST9thUS2ndDefinition & 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 ›Tooth loss
4.8%
in the bottom 1.8% nationally
Lower is healthier
ST7thUS2ndDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›The read
By its overall health score, Rancho Palos Verdes, California (ZIP 90275) lands in the top 1.2% healthiest ZIPs nationally (355th) and the top 3.4% of California (58th), based on limited data; treat as directional.
Strengths and concerns sit side by side across the measures here: household income registers in the top 1.8% nationally, and modeled utility shutoff sits in the bottom 0.2% nationally. Modeled obesity rests in the bottom 0.6% nationally, and transportation is in the bottom 1.9% nationally. Modeled housing insecurity stands in the bottom 2.4% nationally, food insecurity settles in the bottom 2.9% nationally, and cognitive disability lies in the bottom 1.6% nationally. Fatal road crashes resides in the bottom 4.5% nationally, modeled energy burden lands in the bottom 1.9% nationally, and modeled tooth loss registers in the bottom 1.8% nationally.
Weighed against the ZIPs nearby, park land runs far higher than the surrounding ZIPs on this measure. To translate a couple of terms, energy burden is the share of household income that goes to home energy bills. Overall, the nearest healthier neighbor is ZIP 90274, 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 91%
21%
Social Need / SDOH
healthier than 94%
16%
Preventive Care
healthier than 90%
13%
Risk Behavior
in the top 0.9%
11%
Mental Health
healthier than 99%
8%
Disability
healthier than 94%
7%
Healthcare Access
healthier than 77%
5%
Holding it back
Environmental Hazard
healthier than 20%
14%
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 72%
21%
Social Need / SDOH
healthier than 90%
16%
Preventive Care
healthier than 97%
13%
Risk Behavior
healthier than 98%
11%
Mental Health
in the top 1.0%
8%
Disability
healthier than 91%
7%
About typical
Environmental Hazard
healthier than 51%
14%
Healthcare Access
healthier than 55%
5%
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
Social Need / SDOH
healthier than 91%
16%
Environmental Hazard
healthier than 77%
14%
Preventive Care
healthier than 97%
13%
Risk Behavior
healthier than 98%
11%
Mental Health
healthier than 98%
8%
Disability
healthier than 90%
7%
About typical
Chronic Disease Burden
healthier than 45%
21%
Holding it back
Healthcare Access
healthier than 20%
5%
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 ›
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.
Above what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 84.8 ± 1.4 years. A median household income of $179,469 predicts 82.4 years — 2.5 years above.
Ranked #661 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 ± 1.4 years. The 49 nearest ZIP codes with estimates average 79.9 years — 5.0 years above them.
Ranked #148 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
90274
Californiashares a border
Score 72.39
Closest healthier
90266
Californiaabout 5.3 mi away
Score 72.07
Similar health profile
95070
California100% similar profile
Score 75.30
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 | 23.2% | 21.3–25.0 |
| High blood pressure among adults | 31.7% | 29.4–33.8 |
| Cancer (non-skin) or melanoma among adults | 9.8% | 9.0–10.6 |
| Current asthma among adults | 8.1% | 7.3–8.9 |
| Coronary heart disease among adults | 5.5% | 5.0–6.0 |
| Chronic obstructive pulmonary disease among adults | 3.8% | 3.4–4.3 |
| Depression among adults | 16.4% | 14.8–18.0 |
| Diagnosed diabetes among adults | 10.5% | 9.5–11.7 |
| High cholesterol among adults who have ever been screened | 41.6% | 39.1–44.1 |
| Obesity among adults | 18.5% | 16.3–20.6 |
| Stroke among adults | 2.9% | 2.7–3.2 |
| All teeth lost among adults aged >=65 years | 4.8% | 3.9–5.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 3.2% | 2.8–3.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.4% | 76.0–80.7 |
| Visits to doctor for routine checkup within the past year among adults | 78.6% | 76.6–80.5 |
| Cholesterol screening among adults | 91.8% | 90.9–92.6 |
| Colorectal cancer screening among adults aged 45–75 years | 64.4% | 61.1–67.4 |
| Visited dentist or dental clinic in the past year among adults | 76.5% | 74.5–78.3 |
| Mammography use among women aged 50-74 years | 79.7% | 75.2–83.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.9% | 11.5–14.4 |
| Current cigarette smoking among adults | 6.0% | 5.3–6.8 |
| No leisure-time physical activity among adults | 16.7% | 14.9–18.3 |
| Short sleep duration among adults | 29.6% | 26.9–32.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 13.9% | 12.7–15.1 |
| Frequent mental distress among adults | 11.3% | 10.2–12.3 |
| Frequent physical distress among adults | 10.4% | 9.4–11.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 8.7% | 7.9–9.5 |
| Any disability among adults | 23.8% | 21.8–25.6 |
| Hearing disability among adults | 6.1% | 5.5–6.8 |
| Independent living disability among adults | 5.2% | 4.7–5.7 |
| Mobility disability among adults | 11.0% | 9.9–12.0 |
| Self-care disability among adults | 2.5% | 2.3–2.7 |
| Vision disability among adults | 3.3% | 3.0–3.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.9% | 22.8–27.3 |
| Food insecurity in the past 12 months among adults | 6.7% | 6.0–7.6 |
| Received food stamps in the past 12 months among adults | 5.0% | 4.3–5.7 |
| Housing insecurity in the past 12 months among adults | 5.9% | 5.2–6.7 |
| Lack of reliable transportation in the past 12 months among adults | 4.1% | 3.6–4.6 |
| Loneliness among adults | 34.8% | 32.3–37.6 |
| Utility services shut-off threat in the past 12 months among adults | 2.7% | 2.3–3.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 4.2% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 4.0% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 1.5% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 70.5% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 5.5% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 3.5% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 96.8% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 34.7% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 80.5% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 1.9% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 28.4% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 52.7% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 26.9% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 49.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $179,469 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $1,612,000 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $3,501 | $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 ± 0.70 | 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 0.70 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