ZIP code
91340
in San Fernando, CaliforniaPopulation 33,424
49.64/ 100
Ranked #16,734 of 32,066 US ZIPs (bottom 48%)
Ranked #1,088 of 1,719 California ZIPs (bottom 37%)
Ranked #290 of 371 Los Angeles-Long Beach-Anaheim, CA ZIPs (bottom 22%)
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
48.8%
in the bottom 1.6% nationally
Higher is healthier
ST8thUS2ndDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Loneliness
43.3%
in the top 1.1% nationally
Lower is healthier
ST95thUS99thDefinition & 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
$1
in the top 1.3% nationally
Lower is healthier
ST92ndUS99thDefinition & 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 ›Uninsured (under 65)
21.1%
in the top 3.8% nationally
Lower is healthier
ST93rdUS96thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
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 ›Walkability
170 intersections/sq mi
in the top 4.1% nationally
Higher is healthier
ST90thUS96thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Housing insecurity
24.8%
in the top 4.2% nationally
Lower is healthier
ST91stUS96thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Dental provider access
1.2 per 1,000 residents
in the top 4.3% nationally
Higher is healthier
ST89thUS96thDefinition & 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 ›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
In its overall standing, San Fernando, California (ZIP 91340) lands in the bottom 48% nationally (16,734th) and the bottom 37% of California (1,088th).
This area's pressures are easy to read across the measures: modeled colon screening settles in the bottom 1.6% nationally, modeled loneliness is in the top 1.1% nationally, and crowded housing sits in the top 1.3% nationally. Modeled expected annual loss lands in the top 1.3% nationally, uninsured lies in the top 3.8% nationally, and housing insecurity stands in the top 4.2% nationally. Modeled air-toxics cancer risk rests in the top 4.5% nationally. On the brighter side, floodplain exposure registers at the national minimum, and walkability resides in the top 4.1% nationally. Dental providers settles in the top 4.3% nationally.
Against the wider neighborhood, walkability runs far higher than the surrounding ZIPs on this measure. Put simply, 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. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". On the overall standing, ZIP 91342, just across the boundary, ranks healthier.
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 93%
21%
Mental Health
healthier than 72%
8%
Climate / Disaster Risk
healthier than 74%
5%
Healthcare Access
healthier than 93%
5%
About typical
Risk Behavior
healthier than 43%
11%
Holding it back
Social Need / SDOH
healthier than 8%
16%
Environmental Hazard
healthier than 25%
14%
Preventive Care
healthier than 3%
13%
Disability
healthier than 28%
7%
Lifting this score
Chronic Disease Burden
healthier than 77%
21%
Mental Health
healthier than 68%
8%
Healthcare Access
healthier than 87%
5%
About typical
Environmental Hazard
healthier than 56%
14%
Climate / Disaster Risk
healthier than 54%
5%
Holding it back
Social Need / SDOH
healthier than 13%
16%
Preventive Care
healthier than 10%
13%
Risk Behavior
healthier than 22%
11%
Disability
healthier than 26%
7%
Lifting this score
Environmental Hazard
healthier than 81%
14%
Healthcare Access
healthier than 84%
5%
About typical
Chronic Disease Burden
healthier than 55%
21%
Mental Health
healthier than 44%
8%
Holding it back
Social Need / SDOH
healthier than 11%
16%
Preventive Care
healthier than 11%
13%
Risk Behavior
healthier than 19%
11%
Disability
healthier than 17%
7%
Climate / Disaster Risk
healthier than 29%
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 80.9 ± 1.3 years. A median household income of $85,261 predicts 79.4 years — 1.4 years above.
Ranked #1,300 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 25.4; chronic-disease standing 92.5 (top 10%) — 67 points apart, heavier on the environment than it is on chronic illness.
Ranked #16,125 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 80.9 ± 1.3 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
91331
Californiashares a border
Score 43.84
Closest healthier
91342
Californiashares a border
Score 50.60
Similar health profile
91950
California99% similar profile
Score 51.73
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 | 17.3% | 15.9–18.8 |
| High blood pressure among adults | 27.7% | 25.8–29.7 |
| Cancer (non-skin) or melanoma among adults | 4.2% | 3.8–4.5 |
| Current asthma among adults | 8.8% | 8.0–9.7 |
| Coronary heart disease among adults | 5.0% | 4.5–5.5 |
| Chronic obstructive pulmonary disease among adults | 4.2% | 3.8–4.7 |
| Depression among adults | 18.8% | 17.0–20.7 |
| Diagnosed diabetes among adults | 13.3% | 12.0–14.6 |
| High cholesterol among adults who have ever been screened | 35.3% | 33.1–37.6 |
| Obesity among adults | 30.0% | 27.1–33.0 |
| Stroke among adults | 3.0% | 2.8–3.2 |
| All teeth lost among adults aged >=65 years | 11.5% | 9.4–13.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 21.1% | 18.4–23.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 67.7% | 64.9–70.2 |
| Visits to doctor for routine checkup within the past year among adults | 67.9% | 65.2–70.4 |
| Cholesterol screening among adults | 81.7% | 79.8–83.5 |
| Colorectal cancer screening among adults aged 45–75 years | 48.8% | 45.3–52.1 |
| Visited dentist or dental clinic in the past year among adults | 53.5% | 50.8–55.9 |
| Mammography use among women aged 50-74 years | 74.4% | 69.2–78.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.1% | 14.3–17.9 |
| Current cigarette smoking among adults | 11.6% | 10.3–13.0 |
| No leisure-time physical activity among adults | 32.0% | 29.3–34.9 |
| Short sleep duration among adults | 37.3% | 34.3–40.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 30.3% | 27.9–32.7 |
| Frequent mental distress among adults | 17.4% | 15.9–19.0 |
| Frequent physical distress among adults | 16.2% | 14.8–17.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.8% | 17.1–20.7 |
| Any disability among adults | 36.1% | 33.5–38.8 |
| Hearing disability among adults | 5.7% | 5.2–6.4 |
| Independent living disability among adults | 9.7% | 8.8–10.7 |
| Mobility disability among adults | 16.3% | 14.8–17.8 |
| Self-care disability among adults | 5.3% | 4.8–5.8 |
| Vision disability among adults | 8.6% | 7.8–9.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 34.3% | 31.6–37.2 |
| Food insecurity in the past 12 months among adults | 29.4% | 26.6–32.4 |
| Received food stamps in the past 12 months among adults | 23.5% | 21.0–26.1 |
| Housing insecurity in the past 12 months among adults | 24.8% | 22.4–27.4 |
| Lack of reliable transportation in the past 12 months among adults | 13.4% | 12.0–15.0 |
| Loneliness among adults | 43.3% | 40.5–46.4 |
| Utility services shut-off threat in the past 12 months among adults | 9.8% | 8.7–11.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 10.9% | 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+) | 35.8% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 13.6% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 6.9% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 5.4% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 93.6% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 45.9% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 64.5% | 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 | 35.6% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 44.2% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 13.7% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 37.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $85,261 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $661,500 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,813 | $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 | 80.9 yr ± 0.67 | 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 0.67 years of 80.9, 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