ZIP code
91405
in Van Nuys, CaliforniaPopulation 56,033
48.54/ 100
Ranked #18,255 of 32,066 US ZIPs (bottom 43%)
Ranked #1,168 of 1,719 California ZIPs (bottom 32%)
Ranked #307 of 371 Los Angeles-Long Beach-Anaheim, CA ZIPs (bottom 17%)
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
49.9%
in the bottom 2.0% nationally
Higher is healthier
ST9thUS2ndDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Crowded housing
20.8%
in the top 1.1% nationally
Lower is healthier
ST95thUS99thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Housing-cost burden
57.3%
in the top 1.5% nationally
Lower is healthier
ST97thUS99thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Loneliness
42.3%
in the top 1.7% nationally
Lower is healthier
ST93rdUS98thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Expected annual disaster loss
$1
in the top 2.1% nationally
Lower is healthier
ST87thUS98thDefinition & 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 ›Homeownership rate
27.3%
in the bottom 2.8% nationally
Higher is healthier
ST7thUS3rdDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Subsidized affordable housing
689 units
in the top 2.8% nationally
Higher is healthier
ST93rdUS97thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
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 ›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 ›Loud transportation noise
2.2%
in the top 6.6% nationally
Lower is healthier
ST64thUS93rdDefinition & 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 ›The read
Judged by its overall standing, ZIP 91405, one of several in Van Nuys, California sits in the bottom 43% nationally (18,255th) and the bottom 32% of California (1,168th).
A few readings account for most of this area's strain: modeled colon screening settles in the bottom 2.0% nationally, crowded housing lands in the top 1.1% nationally, and housing-cost burden rests in the top 1.5% nationally. Modeled loneliness settles in the top 1.7% nationally, modeled expected annual loss lands in the top 2.1% nationally, and homeownership rests in the bottom 2.8% nationally. Modeled air-toxics cancer risk settles in the top 4.5% nationally, and tree cover lands at the national minimum. On the better side, subsidized affordable housing rests in the top 2.8% nationally. Distance to an emergency room settles at the national minimum, shared with about 11% of ZIPs.
Placed beside its immediate neighbors, park land runs far lower than the surrounding ZIPs on this measure. Put plainly, 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. Subsidized affordable housing is the main federal tax-credit program (HUD) funding affordable rental housing, counted as local units it supports. A healthier nearby ZIP overall is ZIP 91401, 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 89%
21%
Climate / Disaster Risk
healthier than 85%
5%
Healthcare Access
in the top 0.00%
5%
About typical
Risk Behavior
healthier than 40%
11%
Mental Health
healthier than 47%
8%
Holding it back
Social Need / SDOH
healthier than 13%
16%
Environmental Hazard
healthier than 16%
14%
Preventive Care
healthier than 4%
13%
Disability
healthier than 31%
7%
Lifting this score
Chronic Disease Burden
healthier than 67%
21%
Climate / Disaster Risk
healthier than 68%
5%
Healthcare Access
in the top 0.00%
5%
About typical
Environmental Hazard
healthier than 47%
14%
Holding it back
Social Need / SDOH
healthier than 19%
16%
Preventive Care
healthier than 14%
13%
Risk Behavior
healthier than 20%
11%
Mental Health
healthier than 38%
8%
Disability
healthier than 29%
7%
Lifting this score
Environmental Hazard
healthier than 74%
14%
Healthcare Access
in the top 0.00%
5%
About typical
Climate / Disaster Risk
healthier than 50%
5%
Holding it back
Chronic Disease Burden
healthier than 36%
21%
Social Need / SDOH
healthier than 16%
16%
Preventive Care
healthier than 17%
13%
Risk Behavior
healthier than 16%
11%
Mental Health
healthier than 14%
8%
Disability
healthier than 20%
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
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 79.6 ± 1.2 years. A median household income of $62,900 predicts 78.2 years — 1.3 years above.
Ranked #1,340 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 79.6 ± 1.2 years. The 47 nearest ZIP codes with estimates average 81.8 years — 2.2 years below them.
Ranked #1,740 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 16.3; chronic-disease standing 88.6 — 72 points apart, heavier on the environment than it is on chronic illness.
Ranked #16,597 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 79.6 ± 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
91401
Californiashares a border
Score 52.03
Closest healthier
91406
Californiashares a border
Score 49.44
Similar health profile
92105
California99% similar profile
Score 48.37
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% | 17.4–20.3 |
| High blood pressure among adults | 28.8% | 26.9–30.7 |
| Cancer (non-skin) or melanoma among adults | 4.9% | 4.5–5.4 |
| Current asthma among adults | 9.6% | 8.7–10.5 |
| Coronary heart disease among adults | 5.1% | 4.7–5.6 |
| Chronic obstructive pulmonary disease among adults | 5.5% | 5.0–6.0 |
| Depression among adults | 21.1% | 19.2–23.0 |
| Diagnosed diabetes among adults | 12.3% | 11.2–13.4 |
| High cholesterol among adults who have ever been screened | 35.0% | 32.8–37.2 |
| Obesity among adults | 29.3% | 26.4–32.1 |
| Stroke among adults | 3.2% | 2.9–3.4 |
| All teeth lost among adults aged >=65 years | 13.0% | 10.8–15.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 15.2% | 13.4–17.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 67.8% | 65.2–70.2 |
| Visits to doctor for routine checkup within the past year among adults | 69.0% | 66.5–71.3 |
| Cholesterol screening among adults | 81.6% | 79.8–83.2 |
| Colorectal cancer screening among adults aged 45–75 years | 49.9% | 46.3–53.1 |
| Visited dentist or dental clinic in the past year among adults | 55.0% | 52.4–57.3 |
| Mammography use among women aged 50-74 years | 71.7% | 66.1–76.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.2% | 14.5–18.0 |
| Current cigarette smoking among adults | 13.7% | 12.2–15.1 |
| No leisure-time physical activity among adults | 29.1% | 26.7–31.5 |
| Short sleep duration among adults | 37.7% | 34.6–40.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 27.8% | 25.9–29.7 |
| Frequent mental distress among adults | 18.5% | 17.0–20.1 |
| Frequent physical distress among adults | 15.7% | 14.4–17.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.6% | 17.1–20.1 |
| Any disability among adults | 34.7% | 32.4–37.0 |
| Hearing disability among adults | 5.7% | 5.1–6.3 |
| Independent living disability among adults | 10.3% | 9.4–11.2 |
| Mobility disability among adults | 15.6% | 14.3–16.9 |
| Self-care disability among adults | 5.2% | 4.8–5.6 |
| Vision disability among adults | 7.6% | 7.1–8.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 32.4% | 30.1–35.2 |
| Food insecurity in the past 12 months among adults | 26.6% | 24.4–28.9 |
| Received food stamps in the past 12 months among adults | 24.4% | 22.4–26.8 |
| Housing insecurity in the past 12 months among adults | 21.8% | 19.9–24.0 |
| Lack of reliable transportation in the past 12 months among adults | 12.9% | 11.7–14.3 |
| Loneliness among adults | 42.3% | 39.7–45.3 |
| 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 | 18.6% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 12.3% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 24.3% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 25.6% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 9.1% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 11.8% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 92.1% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 57.3% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 27.3% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 20.8% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 48.1% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 41.7% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 13.2% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 36.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $62,900 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $737,700 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,780 | $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 | 79.6 yr ± 0.61 | 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 0.61 years of 79.6, 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