ZIP code
90049
in Los Angeles, CaliforniaPopulation 37,122
70.47/ 100
Ranked #511 of 32,066 US ZIPs (top 1.6%)
Ranked #81 of 1,719 California ZIPs (top 4.8%)
Ranked #14 of 371 Los Angeles-Long Beach-Anaheim, CA ZIPs (top 3.8%)
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
$170,607
in the top 2.3% nationally
Higher is healthier
ST92ndUS98thDefinition & 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
3.0%
in the bottom 0.5% nationally
Lower is healthier
ST2ndUS1stDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Obesity
20.4%
in the bottom 1.1% nationally
Lower is healthier
ST7thUS1stDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Food insecurity
6.0%
in the bottom 1.5% nationally
Lower is healthier
ST2ndUS1stDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Lack of transportation
4.2%
in the bottom 2.2% nationally
Lower is healthier
ST3rdUS2ndDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
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 ›Housing insecurity
6.1%
in the bottom 2.9% nationally
Lower is healthier
ST4thUS3rdDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Expected annual disaster loss
$0
in the top 3.5% nationally
Lower is healthier
ST81stUS97thDefinition & 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 ›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 ›Physician access
2.6 per 1,000 residents
in the top 4.5% nationally
Higher is healthier
ST93rdUS96thDefinition & 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 ›The read
Overall, ZIP 90049, one of several in Los Angeles, California lands in the top 1.6% healthiest ZIPs nationally (511th) and the top 4.8% of California (81st).
The picture here is genuinely mixed, with readings on both sides: household income stands in the top 2.3% nationally, and modeled utility shutoff lies in the bottom 0.5% nationally. Modeled obesity lands in the bottom 1.1% nationally, and food insecurity sits in the bottom 1.5% nationally. Modeled transportation is in the bottom 2.2% nationally, dental providers settles in the top 2.3% nationally, and modeled housing insecurity resides in the bottom 2.9% nationally. Physicians registers in the top 4.5% nationally. On the other side, modeled expected annual loss rests in the top 3.5% nationally, and air-toxics cancer risk stands in the top 4.5% nationally.
Set beside the nearby areas, park land runs far higher than the surrounding ZIPs on this measure. A note on the terms: 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. For a healthier nearby comparison, ZIP 90094, about 5.1 miles away, ranks better 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 96%
21%
Social Need / SDOH
healthier than 97%
16%
Preventive Care
healthier than 78%
13%
Risk Behavior
healthier than 97%
11%
Mental Health
healthier than 85%
8%
Disability
healthier than 97%
7%
Climate / Disaster Risk
healthier than 92%
5%
Healthcare Access
healthier than 74%
5%
Holding it back
Environmental Hazard
healthier than 21%
14%
Lifting this score
Chronic Disease Burden
healthier than 90%
21%
Social Need / SDOH
healthier than 96%
16%
Preventive Care
healthier than 89%
13%
Risk Behavior
healthier than 95%
11%
Mental Health
healthier than 85%
8%
Disability
healthier than 96%
7%
Climate / Disaster Risk
healthier than 83%
5%
About typical
Environmental Hazard
healthier than 52%
14%
Healthcare Access
healthier than 51%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 86%
21%
Social Need / SDOH
healthier than 97%
16%
Environmental Hazard
healthier than 78%
14%
Preventive Care
healthier than 92%
13%
Risk Behavior
healthier than 96%
11%
Mental Health
healthier than 71%
8%
Disability
healthier than 96%
7%
Climate / Disaster Risk
healthier than 80%
5%
Holding it back
Healthcare Access
healthier than 15%
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 85.1 ± 1.2 years. A median household income of $170,607 predicts 82.2 years — 2.9 years above.
Ranked #477 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 85.1 ± 1.2 years. The 46 nearest ZIP codes with estimates average 82.1 years — 3.0 years above them.
Ranked #833 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 21.1; chronic-disease standing 96.3 (top 10%) — 75 points apart, heavier on the environment than it is on chronic illness.
Ranked #16,855 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 85.1 ± 1.2 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
90024
Californiashares a border
Score 59.74
Closest healthier
90094
Californiaabout 5.1 mi away
Score 71.88
Similar health profile
92808
California100% similar profile
Score 66.69
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 | 20.4% | 18.8–22.0 |
| High blood pressure among adults | 26.3% | 24.3–28.1 |
| Cancer (non-skin) or melanoma among adults | 9.0% | 8.3–9.8 |
| Current asthma among adults | 9.1% | 8.2–10.1 |
| Coronary heart disease among adults | 4.4% | 4.0–4.8 |
| Chronic obstructive pulmonary disease among adults | 3.4% | 3.1–3.8 |
| Depression among adults | 21.2% | 19.2–23.2 |
| Diagnosed diabetes among adults | 7.3% | 6.6–8.1 |
| High cholesterol among adults who have ever been screened | 35.3% | 33.1–37.6 |
| Obesity among adults | 20.4% | 18.1–22.7 |
| Stroke among adults | 2.3% | 2.1–2.5 |
| All teeth lost among adults aged >=65 years | 4.1% | 3.3–4.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 3.0% | 2.6–3.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 73.1% | 70.6–75.3 |
| Visits to doctor for routine checkup within the past year among adults | 74.7% | 72.4–76.8 |
| Cholesterol screening among adults | 89.5% | 88.4–90.5 |
| Colorectal cancer screening among adults aged 45–75 years | 66.6% | 63.4–69.5 |
| Visited dentist or dental clinic in the past year among adults | 77.0% | 75.0–78.8 |
| Mammography use among women aged 50-74 years | 79.6% | 75.1–83.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.5% | 15.7–19.4 |
| Current cigarette smoking among adults | 6.0% | 5.2–6.8 |
| No leisure-time physical activity among adults | 13.2% | 11.7–14.6 |
| Short sleep duration among adults | 29.2% | 26.6–31.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 12.0% | 10.9–13.1 |
| Frequent mental distress among adults | 13.6% | 12.3–14.8 |
| Frequent physical distress among adults | 9.5% | 8.6–10.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 9.8% | 8.8–10.7 |
| Any disability among adults | 21.9% | 20.1–23.8 |
| Hearing disability among adults | 5.1% | 4.6–5.6 |
| Independent living disability among adults | 5.2% | 4.7–5.7 |
| Mobility disability among adults | 8.7% | 7.9–9.6 |
| Self-care disability among adults | 2.1% | 1.9–2.3 |
| Vision disability among adults | 2.7% | 2.5–2.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.7% | 19.8–23.8 |
| Food insecurity in the past 12 months among adults | 6.0% | 5.3–6.8 |
| Received food stamps in the past 12 months among adults | 5.2% | 4.5–6.0 |
| Housing insecurity in the past 12 months among adults | 6.1% | 5.4–6.9 |
| Lack of reliable transportation in the past 12 months among adults | 4.2% | 3.8–4.7 |
| Loneliness among adults | 35.1% | 32.6–37.9 |
| Utility services shut-off threat in the past 12 months among adults | 3.0% | 2.6–3.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.0% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 2.7% | 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+) | 79.7% | 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 | 3.8% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 98.1% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 40.8% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 53.4% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 2.1% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 21.5% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 55.8% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 21.2% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 40.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $170,607 | $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 | $2,957 | $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 | 85.1 yr ± 0.62 | 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 0.62 years of 85.1, 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