ZIP code
92557
in Moreno Valley, CaliforniaPopulation 54,061
50.69/ 100
Ranked #15,287 of 32,066 US ZIPs (top 48%)
Ranked #1,022 of 1,719 California ZIPs (bottom 41%)
Ranked #69 of 153 Riverside-San Bernardino-Ontario, CA ZIPs (top 45%)
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.
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 ›Crowded housing
9.7%
in the top 4.8% nationally
Lower is healthier
ST75thUS95thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Natural-disaster risk
in the top 6.1% nationally
Lower is healthier
ST73rdUS94thDefinition & 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
19.3%
in the top 7.2% nationally
Higher is healthier
ST79thUS93rdDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Housing-cost burden
42.6%
in the top 7.4% nationally
Lower is healthier
ST70thUS93rdDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Housing insecurity
21.2%
in the top 7.4% nationally
Lower is healthier
ST83rdUS93rdDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Loneliness
38.4%
in the top 7.5% nationally
Lower is healthier
ST73rdUS93rdDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Floodplain exposure
0.18%
in the bottom 8.1% nationally
Lower is healthier
ST18thUS8thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
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 ›Dry extreme heat
54.5 days/year
in the top 8.1% nationally
Lower is healthier
ST75thUS92ndDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Air-toxics cancer risk
36.9 per million
in the top 8.3% nationally
Lower is healthier
ST56thUS92ndDefinition & 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 ›The read
By the composite health measure, ZIP 92557, one of several in Moreno Valley, California ranks in the top 48% healthiest ZIPs nationally (15,287th) and the bottom 41% of California (1,022nd).
A number of measures place this area on solid footing: park land settles in the top 7.2% nationally, and floodplain exposure resides in the bottom 8.1% nationally. By contrast, modeled tree cover registers at the national minimum, and crowded housing rests in the top 4.8% nationally. Modeled disaster risk stands in the top 6.1% nationally, housing-cost burden lies in the top 7.4% nationally, and modeled housing insecurity lands in the top 7.4% nationally. Modeled loneliness sits in the top 7.5% nationally, extreme heat is in the top 8.1% nationally, and air-toxics cancer risk settles in the top 8.3% nationally.
Read against the ZIPs closest to it, park land runs far higher than the surrounding ZIPs on this measure. To spell things out, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". Close by, ZIP 92555, just across the boundary, ranks healthier overall.
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%
Healthcare Access
healthier than 69%
5%
About typical
Environmental Hazard
healthier than 44%
14%
Risk Behavior
healthier than 46%
11%
Mental Health
healthier than 41%
8%
Disability
healthier than 43%
7%
Climate / Disaster Risk
healthier than 45%
5%
Holding it back
Social Need / SDOH
healthier than 22%
16%
Preventive Care
healthier than 12%
13%
Lifting this score
Environmental Hazard
healthier than 69%
14%
About typical
Chronic Disease Burden
healthier than 53%
21%
Disability
healthier than 41%
7%
Healthcare Access
healthier than 46%
5%
Holding it back
Social Need / SDOH
healthier than 28%
16%
Preventive Care
healthier than 33%
13%
Risk Behavior
healthier than 24%
11%
Mental Health
healthier than 31%
8%
Climate / Disaster Risk
healthier than 36%
5%
Lifting this score
Chronic Disease Burden
healthier than 68%
21%
Climate / Disaster Risk
healthier than 66%
5%
About typical
Social Need / SDOH
healthier than 43%
16%
Preventive Care
healthier than 47%
13%
Disability
healthier than 58%
7%
Healthcare Access
healthier than 45%
5%
Holding it back
Environmental Hazard
healthier than 35%
14%
Risk Behavior
healthier than 40%
11%
Mental Health
healthier than 39%
8%
“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
92324
Californiashares a border
Score 46.68
Closest healthier
92555
Californiashares a border
Score 54.59
Similar health profile
93041
California97% similar profile
Score 53.08
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 | 32.0% | 29.5–34.7 |
| Cancer (non-skin) or melanoma among adults | 5.0% | 4.5–5.5 |
| Current asthma among adults | 10.0% | 8.9–11.2 |
| Coronary heart disease among adults | 5.2% | 4.7–5.7 |
| Chronic obstructive pulmonary disease among adults | 4.9% | 4.5–5.5 |
| Depression among adults | 22.1% | 19.6–24.8 |
| Diagnosed diabetes among adults | 12.2% | 10.9–13.7 |
| High cholesterol among adults who have ever been screened | 34.5% | 31.7–37.4 |
| Obesity among adults | 38.8% | 34.8–43.1 |
| Stroke among adults | 3.1% | 2.9–3.3 |
| All teeth lost among adults aged >=65 years | 11.4% | 9.3–13.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 13.6% | 11.9–15.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 68.4% | 65.6–71.1 |
| Visits to doctor for routine checkup within the past year among adults | 70.8% | 67.7–73.8 |
| Cholesterol screening among adults | 83.5% | 81.8–85.2 |
| Colorectal cancer screening among adults aged 45–75 years | 58.1% | 53.7–62.4 |
| Visited dentist or dental clinic in the past year among adults | 58.1% | 54.8–61.4 |
| Mammography use among women aged 50-74 years | 79.6% | 73.8–84.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.8% | 12.6–17.1 |
| Current cigarette smoking among adults | 11.9% | 10.5–13.5 |
| No leisure-time physical activity among adults | 28.2% | 25.2–31.5 |
| Short sleep duration among adults | 41.1% | 36.9–45.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 25.3% | 23.1–27.9 |
| Frequent mental distress among adults | 18.5% | 16.7–20.5 |
| Frequent physical distress among adults | 14.7% | 13.3–16.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.2% | 15.6–19.0 |
| Any disability among adults | 34.9% | 31.9–38.2 |
| Hearing disability among adults | 5.4% | 4.8–6.0 |
| Independent living disability among adults | 9.4% | 8.6–10.4 |
| Mobility disability among adults | 15.5% | 14.0–17.3 |
| Self-care disability among adults | 4.4% | 4.1–4.8 |
| Vision disability among adults | 6.6% | 6.1–7.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 29.8% | 26.7–33.0 |
| Food insecurity in the past 12 months among adults | 24.0% | 21.5–26.7 |
| Received food stamps in the past 12 months among adults | 20.3% | 18.2–22.5 |
| Housing insecurity in the past 12 months among adults | 21.2% | 18.9–23.5 |
| Lack of reliable transportation in the past 12 months among adults | 12.1% | 10.8–13.5 |
| Loneliness among adults | 38.4% | 34.8–42.2 |
| Utility services shut-off threat in the past 12 months among adults | 10.6% | 9.3–12.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 11.2% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 11.3% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 15.5% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 20.2% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 6.7% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 2.5% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 95.9% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 42.6% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 65.1% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 9.7% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 20.6% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 42.2% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 11.7% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 33.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $94,804 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $525,100 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $2,146 | $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 | 79.5 yr ± 0.72 | 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 0.72 years of 79.5, 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