ZIP code
91502
in Burbank, CaliforniaPopulation 11,652
55.49/ 100
Ranked #8,877 of 32,066 US ZIPs (top 28%)
Ranked #747 of 1,719 California ZIPs (top 43%)
Ranked #225 of 371 Los Angeles-Long Beach-Anaheim, CA ZIPs (bottom 39%)
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.
Dental provider access
2.2 per 1,000 residents
in the top 0.9% nationally
Higher is healthier
ST98thUS99thDefinition & 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 ›Homeownership rate
10.0%
in the bottom 1.4% nationally
Higher is healthier
ST3rdUS1stDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Civic-institution access
1.7 per 1,000 residents
in the top 1.5% nationally
Higher is healthier
ST97thUS99thDefinition & source ›
The number of civic and social organizations 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 ›Housing-cost burden
56.5%
in the top 1.6% nationally
Lower is healthier
ST96thUS98thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Pharmacy access
0.77 per 1,000 residents
in the top 1.9% nationally
Higher is healthier
ST99thUS98thDefinition & source ›
The number of pharmacies 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 ›Crowded housing
14.1%
in the top 2.5% nationally
Lower is healthier
ST87thUS98thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Walkability
200 intersections/sq mi
in the top 2.6% nationally
Higher is healthier
ST95thUS97thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Loud transportation noise
3.3%
in the top 3.2% nationally
Lower is healthier
ST79thUS97thDefinition & 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
6.1 per 1,000 residents
in the top 3.5% nationally
Higher is healthier
ST97thUS97thDefinition & 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 ›Recreation access
1.5 per 1,000 residents
in the top 3.7% nationally
Higher is healthier
ST93rdUS96thDefinition & source ›
The number of places for physical recreation — gyms, sports, and fitness venues — 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 ›The read
ZIP 91502, one of several in Burbank, California, by its composite score, sits in the top 28% healthiest ZIPs nationally (8,877th) and the top 43% of California (747th).
The data opens on a genuinely even set of readings: dental providers lies in the top 0.9% nationally, and civic rests in the top 1.5% nationally. Pharmacy resides in the top 1.9% nationally, and walkability is in the top 2.6% nationally. Transit lands in the top 3.5% nationally, and recreation stands in the top 3.7% nationally. On the other side, homeownership registers in the bottom 1.4% nationally, housing-cost burden settles in the top 1.6% nationally, and crowded housing sits in the top 2.5% nationally. Modeled loud transportation noise lies in the top 3.2% nationally.
Next to the surrounding area, walkability runs far higher than the surrounding ZIPs on this measure. For anyone unfamiliar, 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. For a healthier comparison close by, see ZIP 91501, 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 85%
21%
Social Need / SDOH
healthier than 72%
16%
Risk Behavior
healthier than 75%
11%
Climate / Disaster Risk
healthier than 75%
5%
Healthcare Access
healthier than 88%
5%
About typical
Mental Health
healthier than 60%
8%
Disability
healthier than 50%
7%
Holding it back
Environmental Hazard
healthier than 9%
14%
Preventive Care
healthier than 20%
13%
Lifting this score
Social Need / SDOH
healthier than 67%
16%
Healthcare Access
healthier than 74%
5%
About typical
Chronic Disease Burden
healthier than 57%
21%
Preventive Care
healthier than 42%
13%
Risk Behavior
healthier than 53%
11%
Mental Health
healthier than 54%
8%
Disability
healthier than 47%
7%
Climate / Disaster Risk
healthier than 55%
5%
Holding it back
Environmental Hazard
healthier than 34%
14%
Lifting this score
Social Need / SDOH
healthier than 61%
16%
Environmental Hazard
healthier than 64%
14%
About typical
Preventive Care
healthier than 50%
13%
Risk Behavior
healthier than 49%
11%
Healthcare Access
healthier than 52%
5%
Holding it back
Chronic Disease Burden
healthier than 20%
21%
Mental Health
healthier than 27%
8%
Disability
healthier than 36%
7%
Climate / Disaster Risk
healthier than 30%
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 81.5 ± 1.9 years. A median household income of $52,473 predicts 77.5 years — 3.9 years above.
Ranked #192 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 9.5 (bottom 10%); chronic-disease standing 85.0 — 76 points apart, heavier on the environment than it is on chronic illness.
Ranked #16,882 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 81.5 ± 1.9 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
91201
Californiashares a border
Score 52.01
Closest healthier
91501
Californiashares a border
Score 57.04
Similar health profile
92399
California95% similar profile
Score 52.89
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 | 22.1% | 20.5–23.7 |
| High blood pressure among adults | 30.2% | 28.2–32.2 |
| Cancer (non-skin) or melanoma among adults | 7.5% | 6.9–8.1 |
| Current asthma among adults | 9.6% | 8.7–10.5 |
| Coronary heart disease among adults | 5.9% | 5.4–6.6 |
| Chronic obstructive pulmonary disease among adults | 5.8% | 5.1–6.6 |
| Depression among adults | 21.6% | 19.6–23.6 |
| Diagnosed diabetes among adults | 11.0% | 9.9–12.1 |
| High cholesterol among adults who have ever been screened | 36.1% | 33.8–38.3 |
| Obesity among adults | 26.0% | 23.3–28.8 |
| Stroke among adults | 3.4% | 3.1–3.8 |
| All teeth lost among adults aged >=65 years | 10.1% | 8.2–12.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.7% | 7.5–9.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 72.2% | 69.9–74.3 |
| Visits to doctor for routine checkup within the past year among adults | 72.3% | 70.0–74.6 |
| Cholesterol screening among adults | 85.2% | 83.7–86.6 |
| Colorectal cancer screening among adults aged 45–75 years | 58.2% | 54.8–61.3 |
| Visited dentist or dental clinic in the past year among adults | 63.2% | 60.7–65.5 |
| Mammography use among women aged 50-74 years | 75.1% | 70.0–79.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.8% | 14.2–17.6 |
| Current cigarette smoking among adults | 11.1% | 9.7–12.5 |
| No leisure-time physical activity among adults | 23.5% | 21.1–25.9 |
| Short sleep duration among adults | 34.7% | 31.8–37.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 22.0% | 20.0–23.9 |
| Frequent mental distress among adults | 16.8% | 15.3–18.3 |
| Frequent physical distress among adults | 14.0% | 12.7–15.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.1% | 13.6–16.6 |
| Any disability among adults | 31.7% | 29.3–34.1 |
| Hearing disability among adults | 6.7% | 6.0–7.4 |
| Independent living disability among adults | 9.1% | 8.1–10.1 |
| Mobility disability among adults | 14.7% | 13.3–16.2 |
| Self-care disability among adults | 4.2% | 3.8–4.7 |
| Vision disability among adults | 5.8% | 5.3–6.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 27.6% | 25.4–30.1 |
| Food insecurity in the past 12 months among adults | 16.8% | 14.9–18.9 |
| Received food stamps in the past 12 months among adults | 16.3% | 14.2–18.5 |
| Housing insecurity in the past 12 months among adults | 14.2% | 12.6–15.9 |
| Lack of reliable transportation in the past 12 months among adults | 9.0% | 8.0–10.1 |
| Loneliness among adults | 39.1% | 36.5–41.9 |
| Utility services shut-off threat in the past 12 months among adults | 6.9% | 6.0–7.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 15.6% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 7.1% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 12.5% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 42.2% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 5.9% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 20.9% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 93.2% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 56.5% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 10.0% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 14.1% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 37.6% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 39.9% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 16.2% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 36.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $52,473 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $879,200 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,916 | $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 | 81.5 yr ± 0.98 | 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 0.98 years of 81.5, 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