ZIP code
92570
in Perris, CaliforniaPopulation 58,082
44.09/ 100
Ranked #23,324 of 32,066 US ZIPs (bottom 27%)
Ranked #1,347 of 1,719 California ZIPs (bottom 22%)
Ranked #111 of 153 Riverside-San Bernardino-Ontario, CA ZIPs (bottom 27%)
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 0.2% nationally
Lower is healthier
ST99thUS99thDefinition & 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 ›Crowded housing
19%
in the top 1.4% nationally
Lower is healthier
ST94thUS99thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Colon-cancer screening
53.5%
in the bottom 3.8% nationally
Higher is healthier
ST17thUS4thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Uninsured (under 65)
19.9%
in the top 4.6% nationally
Lower is healthier
ST92ndUS95thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Housing insecurity
25.4%
in the top 3.8% nationally
Lower is healthier
ST92ndUS96thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Expected annual disaster loss
$0
in the top 4.4% nationally
Lower is healthier
ST78thUS96thDefinition & 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 ›Fair or poor health
30.9%
in the top 6.8% nationally
Lower is healthier
ST87thUS93rdDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Loneliness
39.5%
in the top 5.1% nationally
Lower is healthier
ST80thUS95thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Food insecurity
30.5%
in the top 5.8% nationally
Lower is healthier
ST89thUS94thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Lack of transportation
14.7%
in the top 6.8% nationally
Lower is healthier
ST88thUS93rdDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›The read
On balance, and by the composite measure, ZIP 92570, one of several in Perris, California ranks in the bottom 27% nationally (23,324th) and the bottom 22% of California (1,347th).
The measures that press hardest set the tone here: modeled disaster risk is in the top 0.2% nationally, and crowded housing stands in the top 1.4% nationally. Modeled colon screening settles in the bottom 3.8% nationally, and uninsured lies in the top 4.6% nationally. Modeled housing insecurity resides in the top 3.8% nationally, expected annual loss lands in the top 4.4% nationally, and fair or poor health registers in the top 6.8% nationally. Modeled loneliness sits in the top 5.1% nationally, food insecurity rests in the top 5.8% nationally, and transportation is in the top 6.8% nationally.
Compared with the ZIPs it borders, expected annual loss runs far higher than the surrounding ZIPs on this measure. In plainer terms, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. For a healthier nearby ZIP overall, look to ZIP 92503, 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 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 76%
21%
Healthcare Access
healthier than 85%
5%
Holding it back
Social Need / SDOH
healthier than 8%
16%
Environmental Hazard
healthier than 39%
14%
Preventive Care
healthier than 4%
13%
Risk Behavior
healthier than 27%
11%
Mental Health
healthier than 34%
8%
Disability
healthier than 20%
7%
Climate / Disaster Risk
healthier than 39%
5%
Lifting this score
Environmental Hazard
healthier than 67%
14%
Healthcare Access
healthier than 68%
5%
About typical
Chronic Disease Burden
healthier than 42%
21%
Holding it back
Social Need / SDOH
healthier than 14%
16%
Preventive Care
healthier than 15%
13%
Risk Behavior
healthier than 13%
11%
Mental Health
healthier than 24%
8%
Disability
healthier than 19%
7%
Climate / Disaster Risk
healthier than 32%
5%
Lifting this score
Healthcare Access
healthier than 68%
5%
About typical
Chronic Disease Burden
healthier than 56%
21%
Climate / Disaster Risk
healthier than 54%
5%
Holding it back
Social Need / SDOH
healthier than 23%
16%
Environmental Hazard
healthier than 32%
14%
Preventive Care
healthier than 19%
13%
Risk Behavior
healthier than 16%
11%
Mental Health
healthier than 28%
8%
Disability
healthier than 28%
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 ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
92503
Californiashares a border
Score 48.88
Closest healthier
92504
Californiashares a border
Score 49.85
Similar health profile
92405
California99% similar profile
Score 40.66
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 | 21.9% | 19.9–24.0 |
| High blood pressure among adults | 32.3% | 29.6–35.0 |
| Cancer (non-skin) or melanoma among adults | 4.8% | 4.4–5.3 |
| Current asthma among adults | 9.7% | 8.7–10.9 |
| Coronary heart disease among adults | 6.0% | 5.4–6.5 |
| Chronic obstructive pulmonary disease among adults | 5.6% | 5.0–6.2 |
| Depression among adults | 22.3% | 19.8–25.0 |
| Diagnosed diabetes among adults | 13.6% | 12.2–15.1 |
| High cholesterol among adults who have ever been screened | 35.5% | 32.7–38.4 |
| Obesity among adults | 40.4% | 36.3–44.7 |
| Stroke among adults | 3.3% | 3.1–3.6 |
| All teeth lost among adults aged >=65 years | 14.9% | 12.3–17.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 19.9% | 17.8–22.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 67.6% | 64.7–70.3 |
| Visits to doctor for routine checkup within the past year among adults | 68.7% | 65.5–71.9 |
| Cholesterol screening among adults | 81.0% | 79.0–83.0 |
| Colorectal cancer screening among adults aged 45–75 years | 53.5% | 49.1–57.9 |
| Visited dentist or dental clinic in the past year among adults | 52.4% | 49.1–55.7 |
| Mammography use among women aged 50-74 years | 76.2% | 70.0–81.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.7% | 12.6–17.1 |
| Current cigarette smoking among adults | 13.5% | 11.9–15.3 |
| No leisure-time physical activity among adults | 33.3% | 30.0–36.9 |
| Short sleep duration among adults | 41.0% | 36.8–45.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 30.9% | 28.3–33.7 |
| Frequent mental distress among adults | 19.2% | 17.4–21.2 |
| Frequent physical distress among adults | 16.9% | 15.3–18.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 19.9% | 18.0–21.9 |
| Any disability among adults | 39.6% | 36.3–43.0 |
| Hearing disability among adults | 6.4% | 5.7–7.1 |
| Independent living disability among adults | 11.0% | 9.9–12.1 |
| Mobility disability among adults | 18.2% | 16.4–20.0 |
| Self-care disability among adults | 5.4% | 5.0–5.9 |
| Vision disability among adults | 8.7% | 8.0–9.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 31.1% | 27.9–34.5 |
| Food insecurity in the past 12 months among adults | 30.5% | 27.6–33.5 |
| Received food stamps in the past 12 months among adults | 25.6% | 23.1–28.3 |
| Housing insecurity in the past 12 months among adults | 25.4% | 22.8–28.1 |
| Lack of reliable transportation in the past 12 months among adults | 14.7% | 13.2–16.3 |
| Loneliness among adults | 39.5% | 35.9–43.4 |
| Utility services shut-off threat in the past 12 months among adults | 12.2% | 10.8–13.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 14.3% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 18.1% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 31.6% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 11.2% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 8.5% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 6.6% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 92.3% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 37.1% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 66.5% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 19.0% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 31.7% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 44.7% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 10.1% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 32.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $79,393 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $471,200 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,559 | $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 | 78.3 yr ± 0.53 | 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 0.53 years of 78.3, 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