ZIP code
92505
in Riverside, CaliforniaPopulation 53,419
49.03/ 100
Ranked #17,621 of 32,066 US ZIPs (bottom 45%)
Ranked #1,138 of 1,719 California ZIPs (bottom 34%)
Ranked #79 of 153 Riverside-San Bernardino-Ontario, CA ZIPs (bottom 48%)
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.
Lithium in drinking water
9.1 µg/L
in the bottom 0.6% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The average detected level of lithium — a natural trace metal with no federal drinking-water limit yet — across the public water systems serving this ZIP, in micrograms per liter.
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 ›Crowded housing
15.5%
in the top 2.1% nationally
Lower is healthier
ST89thUS98thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Floodplain exposure
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & 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 ›Slow internet speeds
3.4%
in the top 3.5% nationally
Lower is healthier
ST93rdUS97thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Fine-particle (PM2.5) exceedance
2.2%
in the top 4.2% nationally
Lower is healthier
ST67thUS96thDefinition & 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 ›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 ›Housing-cost burden
44.7%
in the top 5.7% nationally
Lower is healthier
ST77thUS94thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Colon-cancer screening
56.4%
in the bottom 6.5% nationally
Higher is healthier
ST27thUS6thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Loud transportation noise
2.2%
in the top 6.3% nationally
Lower is healthier
ST65thUS94thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 65 decibels — around the volume of normal conversation.
Full methodology ›Loneliness
38.8%
in the top 6.5% nationally
Lower is healthier
ST76thUS94thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›The read
In overall standing, ZIP 92505, one of several in Riverside, California comes out in the bottom 45% nationally (17,621st) and the bottom 34% of California (1,138th).
The data points to real strain across a number of measures here: crowded housing registers in the top 2.1% nationally, slow internet speeds stands in the top 3.5% nationally, and modeled fine-particle lands in the top 4.2% nationally. Modeled tree cover is at the national minimum, housing-cost burden resides in the top 5.7% nationally, and modeled colon screening rests in the bottom 6.5% nationally. Modeled loud transportation noise lies in the top 6.3% nationally. On the brighter side, lithium in drinking water sits in the bottom 0.6% nationally, and floodplain exposure settles at the national minimum. Distance to an emergency room registers at the national minimum, shared with about 11% of ZIPs.
Relative to the ZIPs around it, slow internet speeds runs far higher than the surrounding ZIPs on this measure. In plain terms, lithium in drinking water is a natural metal that dissolves into some groundwater and has no federal drinking-water limit yet. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". The nearest healthier ZIP overall is ZIP 92860, 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 86%
21%
Healthcare Access
in the top 0.00%
5%
About typical
Risk Behavior
healthier than 45%
11%
Mental Health
healthier than 41%
8%
Disability
healthier than 40%
7%
Holding it back
Social Need / SDOH
healthier than 22%
16%
Environmental Hazard
healthier than 11%
14%
Preventive Care
healthier than 8%
13%
Climate / Disaster Risk
healthier than 35%
5%
Lifting this score
Healthcare Access
in the top 0.00%
5%
About typical
Chronic Disease Burden
healthier than 59%
21%
Holding it back
Social Need / SDOH
healthier than 28%
16%
Environmental Hazard
healthier than 39%
14%
Preventive Care
healthier than 24%
13%
Risk Behavior
healthier than 23%
11%
Mental Health
healthier than 31%
8%
Disability
healthier than 38%
7%
Climate / Disaster Risk
healthier than 31%
5%
Lifting this score
Chronic Disease Burden
healthier than 76%
21%
Healthcare Access
in the top 0.00%
5%
About typical
Social Need / SDOH
healthier than 44%
16%
Disability
healthier than 54%
7%
Climate / Disaster Risk
healthier than 50%
5%
Holding it back
Environmental Hazard
healthier than 18%
14%
Preventive Care
healthier than 34%
13%
Risk Behavior
healthier than 38%
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 ›
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 11.6; chronic-disease standing 86.1 — 75 points apart, heavier on the environment than it is on chronic illness.
Ranked #16,783 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 39.4 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 79.5 ± 1.3 years.
Ranked #1,559 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
92503
Californiashares a border
Score 48.88
Closest healthier
92860
Californiashares a border
Score 51.27
Similar health profile
91768
California97% similar profile
Score 48.02
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 | 20.8% | 19.0–22.8 |
| High blood pressure among adults | 30.4% | 27.9–33.0 |
| Cancer (non-skin) or melanoma among adults | 4.8% | 4.4–5.3 |
| Current asthma among adults | 9.6% | 8.6–10.7 |
| Coronary heart disease among adults | 5.2% | 4.7–5.7 |
| Chronic obstructive pulmonary disease among adults | 4.9% | 4.4–5.4 |
| Depression among adults | 22.1% | 19.7–24.8 |
| Diagnosed diabetes among adults | 11.9% | 10.6–13.3 |
| High cholesterol among adults who have ever been screened | 34.4% | 31.7–37.3 |
| Obesity among adults | 37.6% | 33.6–41.7 |
| Stroke among adults | 2.9% | 2.7–3.1 |
| All teeth lost among adults aged >=65 years | 11.8% | 9.6–14.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 15.5% | 13.7–17.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 67.0% | 64.1–69.9 |
| Visits to doctor for routine checkup within the past year among adults | 69.3% | 66.1–72.5 |
| Cholesterol screening among adults | 82.3% | 80.4–84.2 |
| Colorectal cancer screening among adults aged 45–75 years | 56.4% | 52.0–60.7 |
| Visited dentist or dental clinic in the past year among adults | 57.7% | 54.5–60.9 |
| Mammography use among women aged 50-74 years | 78.5% | 72.6–83.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.0% | 12.9–17.4 |
| Current cigarette smoking among adults | 12.0% | 10.5–13.6 |
| No leisure-time physical activity among adults | 29.3% | 26.2–32.6 |
| Short sleep duration among adults | 40.1% | 35.9–44.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 26.2% | 23.8–28.6 |
| Frequent mental distress among adults | 18.5% | 16.7–20.3 |
| Frequent physical distress among adults | 15.0% | 13.5–16.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.8% | 16.0–19.5 |
| Any disability among adults | 35.5% | 32.4–38.7 |
| Hearing disability among adults | 5.6% | 5.0–6.3 |
| Independent living disability among adults | 9.5% | 8.6–10.5 |
| Mobility disability among adults | 15.4% | 13.9–17.0 |
| Self-care disability among adults | 4.4% | 4.0–4.7 |
| Vision disability among adults | 6.9% | 6.3–7.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 30.0% | 27.0–33.4 |
| Food insecurity in the past 12 months among adults | 24.9% | 22.3–27.8 |
| Received food stamps in the past 12 months among adults | 20.2% | 18.0–22.6 |
| Housing insecurity in the past 12 months among adults | 21.3% | 19.1–23.9 |
| Lack of reliable transportation in the past 12 months among adults | 12.3% | 11.0–13.7 |
| Loneliness among adults | 38.8% | 35.3–42.7 |
| Utility services shut-off threat in the past 12 months among adults | 10.1% | 8.9–11.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 11.6% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 14.3% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 20.7% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 20.8% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 5.4% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 3.0% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 95.4% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 44.7% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 51.5% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 15.5% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 29.7% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 33.7% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 10.9% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 33.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $84,906 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $570,200 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $2,048 | $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 ± 0.64 | 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 0.64 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