ZIP code
92225
in Blythe, CaliforniaPopulation 20,319
37.72/ 100
Ranked #28,187 of 32,066 US ZIPs (bottom 12.1%)
Ranked #1,561 of 1,719 California ZIPs (bottom 9.2%)
Ranked #138 of 153 Riverside-San Bernardino-Ontario, CA ZIPs (bottom 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.
Industrial-pollution burden
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›Dry extreme heat
140.9 days/year
in the top 0.06% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Colon-cancer screening
50.4%
in the bottom 2.2% nationally
Higher is healthier
ST11thUS2ndDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Fair or poor health
34.7%
in the top 2.9% nationally
Lower is healthier
ST94thUS97thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Uninsured (under 65)
20.9%
in the top 3.9% nationally
Lower is healthier
ST93rdUS96thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Housing insecurity
28.2%
in the top 2.4% nationally
Lower is healthier
ST95thUS98thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Vision disability
9.9%
in the top 5.1% nationally
Lower is healthier
ST92ndUS95thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Subsidized affordable housing
631 units
in the top 3.3% nationally
Higher is healthier
ST91stUS97thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Cognitive disability
21.6%
in the top 4.6% nationally
Lower is healthier
ST93rdUS95thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Food insecurity
34.6%
in the top 3.7% nationally
Lower is healthier
ST94thUS96thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›The read
Overall, Blythe, California (ZIP 92225) lands in the bottom 12.1% nationally (28,187th) and the bottom 9.2% of California (1,561st).
Where the load on this area runs deepest, the data leads: modeled extreme heat rests in the top 0.06% nationally, and colon screening stands in the bottom 2.2% nationally. Modeled fair or poor health lies in the top 2.9% nationally, and uninsured lands in the top 3.9% nationally. Modeled housing insecurity sits in the top 2.4% nationally, vision disability is in the top 5.1% nationally, and cognitive disability settles in the top 4.6% nationally. Modeled food insecurity resides in the top 3.7% nationally. More encouragingly, modeled industrial-pollution burden registers at the national minimum, and subsidized affordable housing rests in the top 3.3% nationally.
Set beside the nearby areas, slow internet speeds runs far lower than the surrounding ZIPs on this measure. A note on the terms: industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. Subsidized affordable housing is the main federal tax-credit program (HUD) funding affordable rental housing, counted as local units it supports. For a healthier nearby comparison, ZIP 85344, just across the boundary, ranks better 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
Environmental Hazard
healthier than 96%
14%
Healthcare Access
healthier than 73%
5%
About typical
Chronic Disease Burden
healthier than 60%
21%
Holding it back
Social Need / SDOH
healthier than 5%
16%
Preventive Care
healthier than 2%
13%
Risk Behavior
healthier than 7%
11%
Mental Health
healthier than 27%
8%
Disability
healthier than 9%
7%
Climate / Disaster Risk
healthier than 16%
5%
Lifting this score
Environmental Hazard
healthier than 95%
14%
About typical
Healthcare Access
healthier than 50%
5%
Holding it back
Chronic Disease Burden
healthier than 26%
21%
Social Need / SDOH
healthier than 7%
16%
Preventive Care
healthier than 8%
13%
Risk Behavior
healthier than 2%
11%
Mental Health
healthier than 16%
8%
Disability
healthier than 9%
7%
Climate / Disaster Risk
healthier than 14%
5%
Lifting this score
Environmental Hazard
healthier than 87%
14%
About typical
Healthcare Access
healthier than 51%
5%
Holding it back
Chronic Disease Burden
healthier than 37%
21%
Social Need / SDOH
healthier than 9%
16%
Preventive Care
healthier than 9%
13%
Risk Behavior
healthier than 1%
11%
Mental Health
healthier than 15%
8%
Disability
healthier than 11%
7%
Climate / Disaster Risk
healthier than 14%
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 ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
85328
Arizonashares a border
Score 24.86
Closest healthier
85344
Arizonashares a border
Score 40.85
Similar health profile
89110
Nevada99% similar profile
Score 34.87
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 | 23.2% | 21.1–25.4 |
| High blood pressure among adults | 36.5% | 33.7–39.5 |
| Cancer (non-skin) or melanoma among adults | 4.9% | 4.5–5.4 |
| Current asthma among adults | 9.7% | 8.7–10.8 |
| Coronary heart disease among adults | 7.0% | 6.3–7.7 |
| Chronic obstructive pulmonary disease among adults | 7.1% | 6.3–7.9 |
| Depression among adults | 22.3% | 19.8–25.1 |
| Diagnosed diabetes among adults | 15.1% | 13.5–16.8 |
| High cholesterol among adults who have ever been screened | 36.3% | 33.4–39.3 |
| Obesity among adults | 44.0% | 39.7–48.5 |
| Stroke among adults | 3.9% | 3.6–4.2 |
| All teeth lost among adults aged >=65 years | 17.2% | 14.2–20.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 20.9% | 17.6–24.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 65.6% | 62.5–68.7 |
| Visits to doctor for routine checkup within the past year among adults | 67.4% | 64.0–70.8 |
| Cholesterol screening among adults | 78.4% | 75.9–80.9 |
| Colorectal cancer screening among adults aged 45–75 years | 50.4% | 46.1–54.9 |
| Visited dentist or dental clinic in the past year among adults | 48.9% | 45.6–52.2 |
| Mammography use among women aged 50-74 years | 75.5% | 69.1–81.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.5% | 13.3–18.0 |
| Current cigarette smoking among adults | 18.4% | 16.1–20.9 |
| No leisure-time physical activity among adults | 35.2% | 31.6–39.2 |
| Short sleep duration among adults | 43.2% | 38.9–47.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 34.7% | 31.4–38.1 |
| Frequent mental distress among adults | 20.2% | 18.2–22.3 |
| Frequent physical distress among adults | 18.5% | 16.6–20.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 21.6% | 19.4–24.0 |
| Any disability among adults | 42.7% | 39.2–46.5 |
| Hearing disability among adults | 7.3% | 6.5–8.2 |
| Independent living disability among adults | 12.4% | 11.2–13.8 |
| Mobility disability among adults | 20.0% | 18.0–22.2 |
| Self-care disability among adults | 6.7% | 6.1–7.4 |
| Vision disability among adults | 9.9% | 9.0–10.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 32.5% | 29.2–36.0 |
| Food insecurity in the past 12 months among adults | 34.6% | 30.8–38.5 |
| Received food stamps in the past 12 months among adults | 32.5% | 29.0–36.2 |
| Housing insecurity in the past 12 months among adults | 28.2% | 25.1–31.4 |
| Lack of reliable transportation in the past 12 months among adults | 17.3% | 15.4–19.3 |
| Loneliness among adults | 38.7% | 34.9–42.6 |
| Utility services shut-off threat in the past 12 months among adults | 15.7% | 13.9–17.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 20.2% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 6.4% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 30.2% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 9.0% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 9.8% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 8.3% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 88.3% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 33.4% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 57.8% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 9.8% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 18.4% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 48.9% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 11.1% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 38.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $55,725 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $218,000 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $952 | $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 | 76.7 yr ± 0.92 | 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 0.92 years of 76.7, 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