ZIP code
90040
in Commerce, CaliforniaPopulation 11,430
45.06/ 100
Ranked #22,343 of 32,066 US ZIPs (bottom 30%)
Ranked #1,310 of 1,719 California ZIPs (bottom 24%)
Ranked #323 of 371 Los Angeles-Long Beach-Anaheim, CA ZIPs (bottom 13.0%)
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.
Colon-cancer screening
48.3%
in the bottom 1.5% nationally
Higher is healthier
ST7thUS1stDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Loud transportation noise
8.8%
in the top 0.4% 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 ›Transit access
17 per 1,000 residents
in the top 0.5% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of public-transit stops 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 ›Uninsured (under 65)
22.1%
in the top 3.3% nationally
Lower is healthier
ST94thUS97thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Air-toxics cancer risk
49.6 per million
in the top 1.1% nationally
Lower is healthier
ST92ndUS99thDefinition & 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 ›Grocery access
0.58 per 1,000 residents
in the top 1.2% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Crowded housing
19.7%
in the top 1.3% nationally
Lower is healthier
ST94thUS99thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Transportation noise
28.9%
in the top 1.3% nationally
Lower is healthier
ST97thUS99thDefinition & 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
42.8%
in the top 1.3% nationally
Lower is healthier
ST94thUS99thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Fine-particle (PM2.5) exceedance
2.8%
in the top 2.5% nationally
Lower is healthier
ST75thUS98thDefinition & 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
Commerce, California (ZIP 90040), by its overall standing, sits in the bottom 30% nationally (22,343rd) and the bottom 24% of California (1,310th).
The profile opens on the burdens that define it most: modeled colon screening registers in the bottom 1.5% nationally, loud transportation noise stands in the top 0.4% nationally, and uninsured lands in the top 3.3% nationally. Modeled air-toxics cancer risk is in the top 1.1% nationally, crowded housing resides in the top 1.3% nationally, and modeled transportation noise rests in the top 1.3% nationally. Modeled loneliness lies in the top 1.3% nationally, and fine-particle sits in the top 2.5% nationally. More positively, transit settles in the top 0.5% nationally, and grocery registers in the top 1.2% nationally.
Held up against its neighbors, loud transportation noise runs far higher than the surrounding ZIPs on this measure. Defined in plain terms, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. 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. The nearest ZIP ranking healthier overall is ZIP 90240, 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 87%
21%
Mental Health
healthier than 76%
8%
Climate / Disaster Risk
healthier than 90%
5%
Healthcare Access
healthier than 92%
5%
About typical
Risk Behavior
healthier than 45%
11%
Holding it back
Social Need / SDOH
healthier than 21%
16%
Environmental Hazard
in the bottom 0.03%
14%
Preventive Care
healthier than 3%
13%
Disability
healthier than 19%
7%
Lifting this score
Chronic Disease Burden
healthier than 61%
21%
Mental Health
healthier than 73%
8%
Climate / Disaster Risk
healthier than 77%
5%
Healthcare Access
healthier than 85%
5%
Holding it back
Social Need / SDOH
healthier than 27%
16%
Environmental Hazard
in the bottom 0.00%
14%
Preventive Care
healthier than 10%
13%
Risk Behavior
healthier than 24%
11%
Disability
healthier than 18%
7%
Lifting this score
Climate / Disaster Risk
healthier than 66%
5%
Healthcare Access
healthier than 78%
5%
About typical
Mental Health
healthier than 49%
8%
Holding it back
Chronic Disease Burden
healthier than 27%
21%
Social Need / SDOH
healthier than 24%
16%
Environmental Hazard
in the bottom 0.00%
14%
Preventive Care
healthier than 10%
13%
Risk Behavior
healthier than 21%
11%
Disability
healthier than 12%
7%
“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
3 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 83.3 ± 3.1 years. A median household income of $74,472 predicts 78.9 years — 4.4 years above.
Ranked #136 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 0.0 (bottom 1%); chronic-disease standing 86.6 — 87 points apart, heavier on the environment than it is on chronic illness.
Ranked #17,663 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 49.6 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 83.3 ± 3.1 years.
Ranked #196 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
90022
Californiashares a border
Score 40.90
Closest healthier
90240
Californiashares a border
Score 56.44
Similar health profile
90806
California97% similar profile
Score 47.02
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 | 18.9% | 17.3–20.5 |
| High blood pressure among adults | 29.9% | 27.7–31.9 |
| Cancer (non-skin) or melanoma among adults | 4.5% | 4.1–4.9 |
| Current asthma among adults | 8.8% | 7.9–9.7 |
| Coronary heart disease among adults | 5.8% | 5.2–6.4 |
| Chronic obstructive pulmonary disease among adults | 4.6% | 4.0–5.2 |
| Depression among adults | 18.5% | 16.6–20.4 |
| Diagnosed diabetes among adults | 14.9% | 13.5–16.4 |
| High cholesterol among adults who have ever been screened | 37.0% | 34.7–39.2 |
| Obesity among adults | 30.7% | 27.6–33.8 |
| Stroke among adults | 3.4% | 3.1–3.7 |
| All teeth lost among adults aged >=65 years | 12.4% | 10.3–14.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 22.1% | 18.6–25.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 70.0% | 67.4–72.3 |
| Visits to doctor for routine checkup within the past year among adults | 69.0% | 66.5–71.4 |
| Cholesterol screening among adults | 82.2% | 80.0–84.2 |
| Colorectal cancer screening among adults aged 45–75 years | 48.3% | 44.9–51.7 |
| Visited dentist or dental clinic in the past year among adults | 52.0% | 49.3–54.4 |
| Mammography use among women aged 50-74 years | 71.6% | 66.0–76.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.1% | 13.5–16.9 |
| Current cigarette smoking among adults | 11.7% | 10.1–13.5 |
| No leisure-time physical activity among adults | 34.1% | 30.9–37.5 |
| Short sleep duration among adults | 36.8% | 33.8–39.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 32.4% | 29.4–35.7 |
| Frequent mental distress among adults | 17.1% | 15.5–18.8 |
| Frequent physical distress among adults | 17.2% | 15.5–19.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 19.0% | 17.0–21.3 |
| Any disability among adults | 38.1% | 35.0–41.4 |
| Hearing disability among adults | 6.6% | 5.9–7.3 |
| Independent living disability among adults | 10.3% | 9.1–11.6 |
| Mobility disability among adults | 18.3% | 16.4–20.2 |
| Self-care disability among adults | 5.9% | 5.2–6.5 |
| Vision disability among adults | 9.6% | 8.6–10.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 33.9% | 30.8–36.9 |
| Food insecurity in the past 12 months among adults | 31.0% | 27.2–34.7 |
| Received food stamps in the past 12 months among adults | 25.2% | 21.9–28.6 |
| Housing insecurity in the past 12 months among adults | 25.5% | 22.6–28.4 |
| Lack of reliable transportation in the past 12 months among adults | 14.1% | 12.3–15.8 |
| Loneliness among adults | 42.8% | 39.8–45.9 |
| Utility services shut-off threat in the past 12 months among adults | 10.3% | 9.0–11.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 15.1% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 18.4% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 38.4% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 11.2% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 3.4% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 13.2% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 83.6% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 41.7% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 55.6% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 19.7% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 39.2% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 39.8% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 19.8% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 38.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $74,472 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $596,100 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,532 | $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 | 83.3 yr ± 1.60 | 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 1.60 years of 83.3, 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