ZIP code
91732
in El Monte, CaliforniaPopulation 57,431
45.16/ 100
Ranked #22,238 of 32,066 US ZIPs (bottom 31%)
Ranked #1,307 of 1,719 California ZIPs (bottom 24%)
Ranked #320 of 371 Los Angeles-Long Beach-Anaheim, CA ZIPs (bottom 13.8%)
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.
Colon-cancer screening
46.1%
in the bottom 0.9% nationally
Higher is healthier
ST4thUS1stDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Walkability
300 intersections/sq mi
in the top 0.7% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Loneliness
44.2%
in the top 0.8% nationally
Lower is healthier
ST97thUS99thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Crowded housing
19.9%
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 ›Expected annual disaster loss
$0
in the top 2.8% nationally
Lower is healthier
ST84thUS97thDefinition & 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 ›Floodplain exposure
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›Fair or poor health
32.1%
in the top 5.2% nationally
Lower is healthier
ST90thUS95thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Fine-particle (PM2.5) exceedance
2.2%
in the top 4.3% nationally
Lower is healthier
ST67thUS96thDefinition & 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 ›Uninsured (under 65)
18.6%
in the top 5.8% nationally
Lower is healthier
ST89thUS94thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
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 ›The read
By the composite health measure, ZIP 91732, one of several in El Monte, California ranks in the bottom 31% nationally (22,238th) and the bottom 24% of California (1,307th).
Several measures weigh most on this area's profile, and they come first: modeled colon screening registers in the bottom 0.9% nationally, and loneliness rests in the top 0.8% nationally. Crowded housing stands in the top 1.3% nationally, and modeled expected annual loss lies in the top 2.8% nationally. Modeled fair or poor health lands in the top 5.2% nationally, fine-particle sits in the top 4.3% nationally, and uninsured is in the top 5.8% nationally. Modeled air-toxics cancer risk settles in the top 4.5% nationally. On the better side, walkability resides in the top 0.7% nationally, and floodplain exposure registers at the national minimum.
Read against the ZIPs closest to it, walkability runs far higher than the surrounding ZIPs on this measure. To spell things out, 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. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Close by, ZIP 91006, just across the boundary, ranks healthier 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 86%
21%
Mental Health
healthier than 80%
8%
Healthcare Access
healthier than 85%
5%
Holding it back
Social Need / SDOH
healthier than 8%
16%
Environmental Hazard
healthier than 2%
14%
Preventive Care
healthier than 3%
13%
Risk Behavior
healthier than 40%
11%
Disability
healthier than 21%
7%
Climate / Disaster Risk
healthier than 38%
5%
Lifting this score
Mental Health
healthier than 78%
8%
Healthcare Access
healthier than 68%
5%
About typical
Chronic Disease Burden
healthier than 58%
21%
Holding it back
Social Need / SDOH
healthier than 14%
16%
Environmental Hazard
healthier than 8%
14%
Preventive Care
healthier than 10%
13%
Risk Behavior
healthier than 20%
11%
Disability
healthier than 20%
7%
Climate / Disaster Risk
healthier than 32%
5%
Nothing measured is lifting this score.
About typical
Mental Health
healthier than 58%
8%
Healthcare Access
healthier than 43%
5%
Holding it back
Chronic Disease Burden
healthier than 21%
21%
Social Need / SDOH
healthier than 12%
16%
Environmental Hazard
healthier than 27%
14%
Preventive Care
healthier than 10%
13%
Risk Behavior
healthier than 15%
11%
Disability
healthier than 14%
7%
Climate / Disaster Risk
healthier than 6%
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
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 81.2 ± 1.2 years. A median household income of $75,108 predicts 78.9 years — 2.2 years above.
Ranked #805 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 1.6 (bottom 10%); chronic-disease standing 85.6 — 84 points apart, heavier on the environment than it is on chronic illness.
Ranked #17,493 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 81.2 ± 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
91006
Californiashares a border
Score 67.04
Closest healthier
91706
Californiashares a border
Score 48.21
Similar health profile
90031
California97% similar profile
Score 46.66
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 | 18.5% | 17.0–20.1 |
| High blood pressure among adults | 30.9% | 28.8–32.9 |
| Cancer (non-skin) or melanoma among adults | 4.1% | 3.7–4.4 |
| Current asthma among adults | 8.4% | 7.6–9.3 |
| Coronary heart disease among adults | 5.9% | 5.3–6.4 |
| Chronic obstructive pulmonary disease among adults | 5.4% | 4.8–5.9 |
| Depression among adults | 17.5% | 15.8–19.2 |
| Diagnosed diabetes among adults | 15.9% | 14.5–17.3 |
| High cholesterol among adults who have ever been screened | 38.7% | 36.4–40.9 |
| Obesity among adults | 26.5% | 23.8–29.2 |
| Stroke among adults | 3.6% | 3.3–3.8 |
| All teeth lost among adults aged >=65 years | 14.3% | 11.9–16.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 18.6% | 16.8–20.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 71.3% | 68.9–73.5 |
| Visits to doctor for routine checkup within the past year among adults | 69.6% | 67.2–72.0 |
| Cholesterol screening among adults | 80.9% | 79.2–82.5 |
| Colorectal cancer screening among adults aged 45–75 years | 46.1% | 42.5–49.3 |
| Visited dentist or dental clinic in the past year among adults | 49.6% | 46.9–52.0 |
| Mammography use among women aged 50-74 years | 69.9% | 64.1–74.9 |
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 | 13.8% | 12.3–15.3 |
| No leisure-time physical activity among adults | 35.7% | 32.9–38.4 |
| Short sleep duration among adults | 38.7% | 35.7–41.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 32.1% | 30.0–34.2 |
| Frequent mental distress among adults | 17.1% | 15.6–18.5 |
| Frequent physical distress among adults | 16.7% | 15.3–18.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.5% | 17.0–20.1 |
| Any disability among adults | 37.1% | 34.6–39.6 |
| Hearing disability among adults | 6.3% | 5.7–7.0 |
| Independent living disability among adults | 10.5% | 9.6–11.5 |
| Mobility disability among adults | 18.0% | 16.5–19.5 |
| Self-care disability among adults | 5.7% | 5.3–6.1 |
| Vision disability among adults | 9.3% | 8.6–10.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 37.2% | 34.6–40.0 |
| Food insecurity in the past 12 months among adults | 32.3% | 30.0–35.1 |
| Received food stamps in the past 12 months among adults | 27.2% | 25.0–29.8 |
| Housing insecurity in the past 12 months among adults | 23.6% | 21.7–25.8 |
| Lack of reliable transportation in the past 12 months among adults | 14.2% | 13.0–15.7 |
| Loneliness among adults | 44.2% | 41.6–47.2 |
| Utility services shut-off threat in the past 12 months among adults | 9.9% | 8.9–11.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 16.5% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 18.8% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 34.1% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 16.0% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 5.7% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 7.3% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 91.9% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 45.2% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 43.2% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 19.9% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 48.7% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 44.0% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 15.3% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 37.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $75,108 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $644,200 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,809 | $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 | 81.2 yr ± 0.59 | 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 0.59 years of 81.2, 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