ZIP code
92861
in Villa Park, CaliforniaPopulation 5,748
63.95/ 100
Ranked #2,470 of 32,066 US ZIPs (top 7.8%)
Ranked #307 of 1,719 California ZIPs (top 18%)
Ranked #106 of 371 Los Angeles-Long Beach-Anaheim, CA ZIPs (top 29%)
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.
Median household income
$202,245
in the top 1.1% nationally
Higher is healthier
ST96thUS99thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Obesity
21.7%
in the bottom 1.8% nationally
Lower is healthier
ST11thUS2ndDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Utility shut-off threat
3.7%
in the bottom 2.3% nationally
Lower is healthier
ST7thUS2ndDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Outer-floodplain exposure
12.0%
in the top 3.2% nationally
Lower is healthier
ST91stUS97thDefinition & 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 ›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 ›PFAS in drinking water
100%
at the national maximum
Lower is healthier
ST99thUS99thDefinition & source ›
The share of residents served by public water systems where PFAS — man-made “forever chemicals” that build up in the body and environment instead of breaking down — were detected in EPA testing.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›Fine-particle (PM2.5) exceedance
1.8%
in the top 5.1% nationally
Lower is healthier
ST63rdUS95thDefinition & 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 ›Fatal road crashes
1.7 per 100,000 residents per year
in the bottom 6.1% nationally
Lower is healthier
ST6thUS6thDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
Full methodology ›Mammography
82%
in the top 4.0% nationally
Higher is healthier
ST99thUS96thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›The read
On the composite measure, Villa Park, California (ZIP 92861) stands in the top 7.8% healthiest ZIPs nationally (2,470th) and the top 18% of California (307th).
A profile of give and take, with clear readings each way: household income lands in the top 1.1% nationally, and modeled obesity settles in the bottom 1.8% nationally. Modeled utility shutoff rests in the bottom 2.3% nationally, and fatal road crashes lands in the bottom 6.1% nationally. Modeled mammography settles in the top 4.0% nationally. On the other side, outer-floodplain exposure rests in the top 3.2% nationally, modeled air-toxics cancer risk lands in the top 4.5% nationally, and modeled tree cover settles at the national minimum. PFAS in drinking water rests at the national maximum, and modeled fine-particle lands in the top 5.1% nationally.
Set beside the wider area around it, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. For clarity, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. PFAS in drinking water is the family of man-made "forever chemicals" that build up in the body and environment instead of breaking down. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. ZIP 92886, about 2.2 miles away, ranks better overall among the ZIPs nearby.
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 77%
21%
Social Need / SDOH
healthier than 94%
16%
Preventive Care
healthier than 92%
13%
Risk Behavior
healthier than 96%
11%
Mental Health
healthier than 91%
8%
Disability
healthier than 81%
7%
Climate / Disaster Risk
healthier than 72%
5%
Healthcare Access
healthier than 74%
5%
Holding it back
Environmental Hazard
healthier than 2%
14%
Lifting this score
Social Need / SDOH
healthier than 90%
16%
Preventive Care
healthier than 97%
13%
Risk Behavior
healthier than 91%
11%
Mental Health
healthier than 91%
8%
Disability
healthier than 76%
7%
About typical
Chronic Disease Burden
healthier than 43%
21%
Climate / Disaster Risk
healthier than 52%
5%
Healthcare Access
healthier than 51%
5%
Holding it back
Environmental Hazard
healthier than 13%
14%
Lifting this score
Social Need / SDOH
healthier than 91%
16%
Preventive Care
healthier than 98%
13%
Risk Behavior
healthier than 92%
11%
Mental Health
healthier than 86%
8%
Disability
healthier than 65%
7%
Holding it back
Chronic Disease Burden
healthier than 11%
21%
Environmental Hazard
healthier than 35%
14%
Climate / Disaster Risk
healthier than 26%
5%
Healthcare Access
healthier than 15%
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.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 2.6 (bottom 10%); chronic-disease standing 77.4 — 75 points apart, heavier on the environment than it is on chronic illness.
Ranked #16,811 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 84.0 ± 2.8 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
92867
Californiashares a border
Score 57.51
Closest healthier
92886
Californiaabout 2.2 mi away
Score 64.88
Similar health profile
15215
Pennsylvania99% similar profile
Score 59.45
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 | 25.0% | 22.7–27.6 |
| High blood pressure among adults | 34.2% | 31.4–37.2 |
| Cancer (non-skin) or melanoma among adults | 11.0% | 10.0–12.0 |
| Current asthma among adults | 9.0% | 8.1–10.1 |
| Coronary heart disease among adults | 7.2% | 6.3–8.0 |
| Chronic obstructive pulmonary disease among adults | 5.3% | 4.5–6.2 |
| Depression among adults | 18.6% | 16.4–21.0 |
| Diagnosed diabetes among adults | 11.7% | 10.3–13.3 |
| High cholesterol among adults who have ever been screened | 41.2% | 38.1–44.5 |
| Obesity among adults | 21.7% | 18.6–25.2 |
| Stroke among adults | 3.5% | 3.1–3.9 |
| All teeth lost among adults aged >=65 years | 6.0% | 4.8–7.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 4.5% | 3.8–5.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.6% | 76.8–82.1 |
| Visits to doctor for routine checkup within the past year among adults | 78.6% | 76.1–81.1 |
| Cholesterol screening among adults | 91.3% | 90.1–92.4 |
| Colorectal cancer screening among adults aged 45–75 years | 68.4% | 64.5–72.1 |
| Visited dentist or dental clinic in the past year among adults | 72.1% | 69.4–74.6 |
| Mammography use among women aged 50-74 years | 82.0% | 76.8–86.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.5% | 11.6–15.6 |
| Current cigarette smoking among adults | 7.4% | 6.2–8.8 |
| No leisure-time physical activity among adults | 20.4% | 17.7–23.5 |
| Short sleep duration among adults | 31.7% | 28.2–35.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.4% | 15.3–19.8 |
| Frequent mental distress among adults | 13.7% | 12.2–15.3 |
| Frequent physical distress among adults | 12.1% | 10.7–13.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 10.5% | 9.2–11.9 |
| Any disability among adults | 27.6% | 24.5–30.9 |
| Hearing disability among adults | 7.3% | 6.4–8.3 |
| Independent living disability among adults | 6.4% | 5.5–7.4 |
| Mobility disability among adults | 13.5% | 11.7–15.6 |
| Self-care disability among adults | 3.0% | 2.6–3.4 |
| Vision disability among adults | 4.0% | 3.5–4.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.5% | 20.7–26.4 |
| Food insecurity in the past 12 months among adults | 8.4% | 7.1–9.9 |
| Received food stamps in the past 12 months among adults | 6.8% | 5.6–8.2 |
| Housing insecurity in the past 12 months among adults | 6.9% | 5.9–8.0 |
| Lack of reliable transportation in the past 12 months among adults | 4.9% | 4.3–5.6 |
| Loneliness among adults | 31.2% | 27.8–34.6 |
| Utility services shut-off threat in the past 12 months among adults | 3.7% | 3.1–4.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 7.8% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 1.8% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 2.6% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 54.5% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 2.9% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 2.4% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 92.5% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 36.0% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 89.7% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 2.7% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 14.0% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 60.5% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 30.7% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 53.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $202,245 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $1,871,700 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | — | $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 | 83.9 yr ± 1.42 | 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 1.42 years of 83.9, 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