ZIP code
93534
in Lancaster, CaliforniaPopulation 41,430
44.95/ 100
Ranked #22,458 of 32,066 US ZIPs (bottom 30%)
Ranked #1,315 of 1,719 California ZIPs (bottom 24%)
Ranked #324 of 371 Los Angeles-Long Beach-Anaheim, CA ZIPs (bottom 12.7%)
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.
Subsidized affordable housing
1,527 units
in the top 0.6% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
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 ›Housing-cost burden
52.6%
in the top 2.3% nationally
Lower is healthier
ST93rdUS98thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Outer-floodplain exposure
15.8%
in the top 2.5% nationally
Lower is healthier
ST93rdUS98thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 0.2%-annual-chance flood band — the “500-year” zone, a lower but real 1-in-500 yearly chance.
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 ›Mental-health provider access
0.23 per 1,000 residents
in the top 3.4% nationally
Higher is healthier
ST96thUS97thDefinition & source ›
The number of mental-health clinics 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 ›Colon-cancer screening
54.9%
in the bottom 4.8% nationally
Higher is healthier
ST21stUS5thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Physician access
2.9 per 1,000 residents
in the top 3.7% nationally
Higher is healthier
ST94thUS96thDefinition & source ›
The number of physicians’ 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 ›Expected annual disaster loss
$0
in the top 4.0% nationally
Lower is healthier
ST80thUS96thDefinition & 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
37.3%
in the bottom 4.6% nationally
Higher is healthier
ST14thUS5thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Dental provider access
1.2 per 1,000 residents
in the top 4.7% nationally
Higher is healthier
ST88thUS95thDefinition & 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 ›The read
ZIP 93534, one of several in Lancaster, California, in overall standing, comes out in the bottom 30% nationally (22,458th) and the bottom 24% of California (1,315th).
A demanding profile, and several measures drive it: modeled loneliness stands in the top 1.1% nationally, housing-cost burden resides in the top 2.3% nationally, and outer-floodplain exposure sits in the top 2.5% nationally. Modeled colon screening stands in the bottom 4.8% nationally, modeled expected annual loss resides in the top 4.0% nationally, and homeownership sits in the bottom 4.6% nationally. On the stronger side, subsidized affordable housing stands in the top 0.6% nationally, and mental-health providers resides in the top 3.4% nationally. Physicians sits in the top 3.7% nationally, and dental providers stands in the top 4.7% nationally.
Set within its surrounding area, subsidized affordable housing runs far higher than the surrounding ZIPs on this measure. Defined simply, for reference, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Subsidized affordable housing is the main federal tax-credit program (HUD) funding affordable rental housing, counted as local units it supports. Outer-floodplain exposure is land with a lower but real 1-in-500 chance of flooding each year, nicknamed the "500-year floodplain". The closest healthier ZIP overall is ZIP 93536, 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 71%
21%
Environmental Hazard
healthier than 82%
14%
Healthcare Access
in the top 0.00%
5%
Holding it back
Social Need / SDOH
healthier than 16%
16%
Preventive Care
healthier than 8%
13%
Risk Behavior
healthier than 33%
11%
Mental Health
healthier than 32%
8%
Disability
healthier than 17%
7%
Climate / Disaster Risk
healthier than 14%
5%
Lifting this score
Environmental Hazard
healthier than 89%
14%
Healthcare Access
in the top 0.00%
5%
Holding it back
Chronic Disease Burden
healthier than 36%
21%
Social Need / SDOH
healthier than 23%
16%
Preventive Care
healthier than 24%
13%
Risk Behavior
healthier than 16%
11%
Mental Health
healthier than 22%
8%
Disability
healthier than 17%
7%
Climate / Disaster Risk
healthier than 12%
5%
Lifting this score
Environmental Hazard
healthier than 98%
14%
Healthcare Access
in the top 0.00%
5%
Holding it back
Chronic Disease Burden
healthier than 6%
21%
Social Need / SDOH
healthier than 19%
16%
Preventive Care
healthier than 30%
13%
Risk Behavior
healthier than 13%
11%
Mental Health
healthier than 6%
8%
Disability
healthier than 11%
7%
Climate / Disaster Risk
in the bottom 0.6%
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
2 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.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 74.8 ± 1.0 years. A median household income of $61,866 predicts 78.2 years — 3.4 years below.
Ranked #4,621 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 74.8 ± 1.0 years. The 46 nearest ZIP codes with estimates average 79.8 years — 5.1 years below them.
Ranked #3,398 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
93535
Californiashares a border
Score 42.77
Closest healthier
93536
Californiashares a border
Score 54.50
Similar health profile
92567
California98% similar profile
Score 45.40
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 | 22.3% | 20.6–23.9 |
| High blood pressure among adults | 33.4% | 31.3–35.5 |
| Cancer (non-skin) or melanoma among adults | 5.7% | 5.3–6.2 |
| Current asthma among adults | 10.7% | 9.7–11.8 |
| Coronary heart disease among adults | 6.2% | 5.6–6.7 |
| Chronic obstructive pulmonary disease among adults | 6.8% | 6.2–7.5 |
| Depression among adults | 21.8% | 19.7–23.9 |
| Diagnosed diabetes among adults | 13.9% | 12.6–15.1 |
| High cholesterol among adults who have ever been screened | 35.9% | 33.7–38.1 |
| Obesity among adults | 31.6% | 28.5–34.6 |
| Stroke among adults | 4.1% | 3.8–4.3 |
| All teeth lost among adults aged >=65 years | 15.8% | 13.2–18.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 13.6% | 12.0–15.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 71.5% | 69.3–73.7 |
| Visits to doctor for routine checkup within the past year among adults | 71.5% | 69.1–73.8 |
| Cholesterol screening among adults | 82.2% | 80.6–83.8 |
| Colorectal cancer screening among adults aged 45–75 years | 54.9% | 51.3–58.1 |
| Visited dentist or dental clinic in the past year among adults | 54.2% | 51.5–56.6 |
| Mammography use among women aged 50-74 years | 73.5% | 68.2–78.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.9% | 13.3–16.7 |
| Current cigarette smoking among adults | 15.1% | 13.6–16.7 |
| No leisure-time physical activity among adults | 30.4% | 27.9–33.0 |
| Short sleep duration among adults | 39.4% | 36.4–42.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 29.6% | 27.4–31.6 |
| Frequent mental distress among adults | 19.8% | 18.1–21.4 |
| Frequent physical distress among adults | 16.8% | 15.4–18.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 19.6% | 17.9–21.2 |
| Any disability among adults | 37.7% | 35.2–40.2 |
| Hearing disability among adults | 6.3% | 5.7–6.9 |
| Independent living disability among adults | 11.9% | 10.9–12.9 |
| Mobility disability among adults | 18.3% | 16.8–19.8 |
| Self-care disability among adults | 6.1% | 5.7–6.6 |
| Vision disability among adults | 8.4% | 7.8–9.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 33.6% | 31.1–36.3 |
| Food insecurity in the past 12 months among adults | 28.8% | 26.6–31.1 |
| Received food stamps in the past 12 months among adults | 29.1% | 26.8–31.5 |
| Housing insecurity in the past 12 months among adults | 23.5% | 21.5–25.6 |
| Lack of reliable transportation in the past 12 months among adults | 14.5% | 13.1–15.8 |
| Loneliness among adults | 43.3% | 40.6–46.3 |
| Utility services shut-off threat in the past 12 months among adults | 11.8% | 10.6–13.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 18.3% | 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+) | 19.9% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 15.7% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 8.0% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 10.5% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 87.2% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 52.6% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 37.3% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 6.6% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 13.2% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 33.1% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 14.4% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 35.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $61,866 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $375,200 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,627 | $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 | 74.7 yr ± 0.52 | 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 0.52 years of 74.7, 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