ZIP code
90047
in Los Angeles, CaliforniaPopulation 50,974
44.30/ 100
Ranked #23,118 of 32,066 US ZIPs (bottom 28%)
Ranked #1,342 of 1,719 California ZIPs (bottom 22%)
Ranked #330 of 371 Los Angeles-Long Beach-Anaheim, CA ZIPs (bottom 11.1%)
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.
Transportation noise
42.4%
in the top 0.7% nationally
Lower is healthier
ST98thUS99thDefinition & 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 ›Loneliness
44.3%
in the top 0.8% nationally
Lower is healthier
ST97thUS99thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Air-toxics cancer risk
42.8 per million
in the top 1.7% nationally
Lower is healthier
ST88thUS98thDefinition & 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 ›Loud transportation noise
4.3%
in the top 1.9% nationally
Lower is healthier
ST87thUS98thDefinition & 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 ›Expected annual disaster loss
$0
in the top 2.2% nationally
Lower is healthier
ST86thUS98thDefinition & 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 ›Housing-cost burden
50.5%
in the top 2.9% nationally
Lower is healthier
ST90thUS97thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Housing insecurity
25.8%
in the top 3.5% nationally
Lower is healthier
ST92ndUS97thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Walkability
160 intersections/sq mi
in the top 4.7% nationally
Higher is healthier
ST88thUS95thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Tree cover
0.00%
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Fine-particle (PM2.5) exceedance
1.7%
in the top 5.3% nationally
Lower is healthier
ST62ndUS95thDefinition & source ›
The share of days in the year when modeled fine-particle (PM2.5) pollution was above the EPA’s daily limit of 35 micrograms per cubic meter.
Full methodology ›The read
On balance, and by the composite measure, ZIP 90047, one of several in Los Angeles, California ranks in the bottom 28% nationally (23,118th) and the bottom 22% of California (1,342nd).
The burdens that read clearest in the data come first: modeled transportation noise resides in the top 0.7% nationally, and loneliness lands in the top 0.8% nationally. Modeled air-toxics cancer risk registers in the top 1.7% nationally, and loud transportation noise sits in the top 1.9% nationally. Modeled expected annual loss rests in the top 2.2% nationally, housing-cost burden is in the top 2.9% nationally, and modeled housing insecurity stands in the top 3.5% nationally. Modeled tree cover settles at the national minimum, and fine-particle lies in the top 5.3% nationally. Better still, walkability resides in the top 4.7% nationally.
Compared with the ZIPs it borders, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. In plainer terms, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. For a healthier nearby ZIP overall, look to ZIP 90043, 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 61%
21%
Climate / Disaster Risk
healthier than 91%
5%
Healthcare Access
healthier than 83%
5%
About typical
Mental Health
healthier than 58%
8%
Holding it back
Social Need / SDOH
healthier than 7%
16%
Environmental Hazard
in the bottom 0.8%
14%
Preventive Care
healthier than 19%
13%
Risk Behavior
healthier than 35%
11%
Disability
healthier than 18%
7%
Lifting this score
Climate / Disaster Risk
healthier than 80%
5%
Healthcare Access
healthier than 65%
5%
About typical
Preventive Care
healthier than 41%
13%
Mental Health
healthier than 52%
8%
Holding it back
Chronic Disease Burden
healthier than 27%
21%
Social Need / SDOH
healthier than 12%
16%
Environmental Hazard
healthier than 5%
14%
Risk Behavior
healthier than 17%
11%
Disability
healthier than 18%
7%
Lifting this score
Climate / Disaster Risk
healthier than 73%
5%
About typical
Preventive Care
healthier than 49%
13%
Holding it back
Chronic Disease Burden
healthier than 3%
21%
Social Need / SDOH
healthier than 10%
16%
Environmental Hazard
healthier than 19%
14%
Risk Behavior
healthier than 14%
11%
Mental Health
healthier than 25%
8%
Disability
healthier than 12%
7%
Healthcare Access
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
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.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 76.0 ± 1.0 years. A median household income of $71,664 predicts 78.8 years — 2.8 years below.
Ranked #3,867 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Below its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 76.0 ± 1.0 years. The 46 nearest ZIP codes with estimates average 79.3 years — 3.3 years below them.
Ranked #2,581 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 0.9 (bottom 1%); chronic-disease standing 60.5 — 60 points apart, heavier on the environment than it is on chronic illness.
Ranked #15,373 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 42.8 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 76.0 ± 1.0 years.
Ranked #332 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
90037
Californiashares a border
Score 34.15
Closest healthier
90043
Californiashares a border
Score 47.95
Similar health profile
90071
California96% similar profile
Score 42.28
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 | 23.4% | 21.7–25.1 |
| High blood pressure among adults | 38.4% | 36.2–40.5 |
| Cancer (non-skin) or melanoma among adults | 4.9% | 4.5–5.4 |
| Current asthma among adults | 11.5% | 10.4–12.6 |
| Coronary heart disease among adults | 5.9% | 5.4–6.5 |
| Chronic obstructive pulmonary disease among adults | 6.1% | 5.5–6.8 |
| Depression among adults | 19.0% | 17.1–20.9 |
| Diagnosed diabetes among adults | 15.9% | 14.5–17.4 |
| High cholesterol among adults who have ever been screened | 35.8% | 33.5–38.0 |
| Obesity among adults | 34.4% | 31.2–37.6 |
| Stroke among adults | 4.7% | 4.4–5.1 |
| All teeth lost among adults aged >=65 years | 15.1% | 12.6–17.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 12.5% | 11.2–14.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.0% | 72.9–77.0 |
| Visits to doctor for routine checkup within the past year among adults | 75.2% | 73.0–77.2 |
| Cholesterol screening among adults | 85.2% | 83.8–86.5 |
| Colorectal cancer screening among adults aged 45–75 years | 56.8% | 53.3–59.9 |
| Visited dentist or dental clinic in the past year among adults | 54.4% | 51.8–56.8 |
| Mammography use among women aged 50-74 years | 77.8% | 73.1–81.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.1% | 11.6–14.6 |
| Current cigarette smoking among adults | 13.9% | 12.4–15.4 |
| No leisure-time physical activity among adults | 30.6% | 28.0–33.2 |
| Short sleep duration among adults | 43.0% | 39.8–45.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 29.9% | 27.7–32.0 |
| Frequent mental distress among adults | 18.8% | 17.2–20.4 |
| Frequent physical distress among adults | 16.2% | 14.8–17.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.2% | 16.5–19.8 |
| Any disability among adults | 37.2% | 34.5–39.7 |
| Hearing disability among adults | 5.1% | 4.6–5.6 |
| Independent living disability among adults | 11.8% | 10.7–12.8 |
| Mobility disability among adults | 19.7% | 18.1–21.3 |
| Self-care disability among adults | 6.7% | 6.1–7.2 |
| Vision disability among adults | 8.6% | 8.0–9.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 36.5% | 33.9–39.4 |
| Food insecurity in the past 12 months among adults | 30.3% | 27.8–32.8 |
| Received food stamps in the past 12 months among adults | 31.0% | 28.3–33.5 |
| Housing insecurity in the past 12 months among adults | 25.8% | 23.5–28.1 |
| Lack of reliable transportation in the past 12 months among adults | 15.0% | 13.6–16.5 |
| Loneliness among adults | 44.3% | 41.5–47.3 |
| Utility services shut-off threat in the past 12 months among adults | 13.2% | 11.8–14.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 16.6% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 11.2% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 18.5% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 21.7% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 8.8% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 13.4% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 91.7% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 50.5% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 56.0% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 8.8% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 19.2% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 32.3% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 16.5% | 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 | $71,664 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $680,600 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,519 | $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 | 76.0 yr ± 0.50 | 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 0.50 years of 76.0, 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