ZIP code
92883
in Corona, CaliforniaPopulation 39,990
58.60/ 100
Ranked #5,908 of 32,066 US ZIPs (top 18%)
Ranked #580 of 1,719 California ZIPs (top 34%)
Ranked #15 of 153 Riverside-San Bernardino-Ontario, CA ZIPs (top 9.9%)
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.
Natural-disaster risk
in the top 2.5% nationally
Lower is healthier
ST91stUS98thDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›Park land
40.8%
in the top 3.2% nationally
Higher is healthier
ST90thUS97thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Median household income
$132,969
in the top 6.4% nationally
Higher is healthier
ST80thUS94thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Slow internet speeds
2.2%
in the top 5.3% nationally
Lower is healthier
ST91stUS95thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Housing-cost burden
41.3%
in the top 8.7% nationally
Lower is healthier
ST64thUS91stDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Home broadband subscription
97.2%
in the top 9.8% nationally
Higher is healthier
ST83rdUS90thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Fine-particle (PM2.5) exceedance
0.86%
in the top 10.0% nationally
Lower is healthier
ST51stUS90thDefinition & 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 ›Mammography
80.7%
in the top 7.8% nationally
Higher is healthier
ST96thUS92ndDefinition & 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, ZIP 92883, one of several in Corona, California stands in the top 18% healthiest ZIPs nationally (5,908th) and the top 34% of California (580th).
A profile of give and take, with clear readings each way: park land settles in the top 3.2% nationally, and household income rests in the top 6.4% nationally. Home broadband subscription lands in the top 9.8% nationally, and modeled mammography settles in the top 7.8% nationally. Modeled hearing disability rests in the bottom 11.0% nationally, and energy burden lands in the bottom 12.1% nationally. On the other side, modeled disaster risk settles in the top 2.5% nationally, slow internet speeds rests in the top 5.3% nationally, and housing-cost burden lands in the top 8.7% nationally. Modeled fine-particle settles in the top 10.0% nationally.
Set beside the wider area around it, park land runs far higher than the surrounding ZIPs on this measure. For clarity, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Energy burden is the share of household income that goes to home energy bills. ZIP 92676, just across the boundary, 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 Riverside-San Bernardino-Ontario, 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 83%
21%
Social Need / SDOH
healthier than 70%
16%
Risk Behavior
healthier than 76%
11%
Mental Health
healthier than 61%
8%
Disability
healthier than 75%
7%
Climate / Disaster Risk
healthier than 62%
5%
About typical
Environmental Hazard
healthier than 43%
14%
Preventive Care
healthier than 44%
13%
Healthcare Access
healthier than 54%
5%
Nothing measured is holding this score back.
Lifting this score
Social Need / SDOH
healthier than 65%
16%
Environmental Hazard
healthier than 69%
14%
Preventive Care
healthier than 65%
13%
Disability
healthier than 71%
7%
About typical
Chronic Disease Burden
healthier than 54%
21%
Risk Behavior
healthier than 55%
11%
Mental Health
healthier than 56%
8%
Climate / Disaster Risk
healthier than 46%
5%
Holding it back
Healthcare Access
healthier than 34%
5%
Lifting this score
Chronic Disease Burden
healthier than 70%
21%
Social Need / SDOH
healthier than 83%
16%
Preventive Care
healthier than 82%
13%
Risk Behavior
healthier than 78%
11%
Mental Health
healthier than 71%
8%
Disability
healthier than 88%
7%
Climate / Disaster Risk
healthier than 79%
5%
Holding it back
Environmental Hazard
healthier than 34%
14%
Healthcare Access
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
One of our published findings lists 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 its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 83.1 ± 2.2 years. The 45 nearest ZIP codes with estimates average 80.3 years — 2.8 years above them.
Ranked #971 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
92530
Californiashares a border
Score 48.90
Closest healthier
92676
Californiashares a border
Score 62.35
Similar health profile
94610
California100% similar profile
Score 67.51
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 | 24.1% | 21.9–26.4 |
| High blood pressure among adults | 32.5% | 29.8–35.2 |
| Cancer (non-skin) or melanoma among adults | 6.8% | 6.2–7.5 |
| Current asthma among adults | 9.7% | 8.6–10.8 |
| Coronary heart disease among adults | 5.3% | 4.8–5.9 |
| Chronic obstructive pulmonary disease among adults | 4.8% | 4.3–5.3 |
| Depression among adults | 22.1% | 19.6–24.7 |
| Diagnosed diabetes among adults | 11.1% | 9.8–12.4 |
| High cholesterol among adults who have ever been screened | 36.8% | 33.9–39.9 |
| Obesity among adults | 34.2% | 30.4–38.2 |
| Stroke among adults | 2.9% | 2.7–3.1 |
| All teeth lost among adults aged >=65 years | 8.6% | 6.9–10.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.6% | 6.6–8.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 71.5% | 68.5–74.3 |
| Visits to doctor for routine checkup within the past year among adults | 73.7% | 70.7–76.5 |
| Cholesterol screening among adults | 87.6% | 86.1–89.0 |
| Colorectal cancer screening among adults aged 45–75 years | 61.9% | 57.7–65.9 |
| Visited dentist or dental clinic in the past year among adults | 67.1% | 64.1–70.0 |
| Mammography use among women aged 50-74 years | 80.7% | 75.1–85.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.7% | 12.7–17.0 |
| Current cigarette smoking among adults | 10.2% | 8.9–11.6 |
| No leisure-time physical activity among adults | 22.3% | 19.8–25.1 |
| Short sleep duration among adults | 38.0% | 33.9–42.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 19.4% | 17.5–21.5 |
| Frequent mental distress among adults | 16.3% | 14.7–18.0 |
| Frequent physical distress among adults | 13.0% | 11.7–14.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.4% | 12.2–14.9 |
| Any disability among adults | 29.9% | 27.1–32.8 |
| Hearing disability among adults | 5.5% | 5.0–6.2 |
| Independent living disability among adults | 7.4% | 6.7–8.1 |
| Mobility disability among adults | 13.4% | 12.0–14.9 |
| Self-care disability among adults | 3.3% | 3.1–3.6 |
| Vision disability among adults | 4.6% | 4.2–5.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 26.2% | 23.4–29.2 |
| Food insecurity in the past 12 months among adults | 14.2% | 12.6–16.1 |
| Received food stamps in the past 12 months among adults | 11.5% | 10.1–13.1 |
| Housing insecurity in the past 12 months among adults | 13.2% | 11.7–14.9 |
| Lack of reliable transportation in the past 12 months among adults | 7.7% | 6.9–8.7 |
| Loneliness among adults | 35.0% | 31.5–38.7 |
| Utility services shut-off threat in the past 12 months among adults | 6.6% | 5.8–7.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 5.2% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 5.5% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 6.0% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 38.7% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 5.0% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 4.3% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 97.2% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 41.3% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 83.1% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 3.3% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 19.3% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 48.0% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 15.6% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 38.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $132,969 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $723,900 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $2,905 | $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 | 83.1 yr ± 1.11 | 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 1.11 years of 83.1, 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