ZIP code
92401
in San Bernardino, CaliforniaPopulation 1,659
25.66/ 100
Ranked #31,400 of 32,066 US ZIPs (bottom 2.1%)
Ranked #1,708 of 1,719 California ZIPs (bottom 0.7%)
Ranked #153 of 153 Riverside-San Bernardino-Ontario, CA ZIPs (bottom 0.7%)
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.
Vision disability
14.4%
in the top 0.6% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Fair or poor health
43%
in the top 0.3% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Colon-cancer screening
44.6%
in the bottom 0.7% nationally
Higher is healthier
ST3rdUS1stDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Mental-health provider access
2 per 1,000 residents
in the top 0.04% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of mental-health clinics located inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Self-care disability
9.4%
in the top 1.1% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›Independent-living disability
17%
in the top 1.0% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.
Full methodology ›Dental provider access
4 per 1,000 residents
in the top 0.2% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of dental offices located inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Uninsured (under 65)
24.7%
in the top 2.4% nationally
Lower is healthier
ST96thUS98thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Cognitive disability
25.5%
in the top 0.9% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Tooth loss
33.6%
in the top 1.6% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›The read
Judged by its overall standing, ZIP 92401, one of several in San Bernardino, California sits in the bottom 2.1% nationally (31,400th) and the bottom 0.7% of California (1,708th).
The profile carries real weight, and several readings make that plain: modeled vision disability settles in the top 0.6% nationally, fair or poor health lands in the top 0.3% nationally, and colon screening rests in the bottom 0.7% nationally. Modeled self-care disability settles in the top 1.1% nationally, independent living disability lands in the top 1.0% nationally, and uninsured rests in the top 2.4% nationally. Modeled cognitive disability settles in the top 0.9% nationally, and tooth loss lands in the top 1.6% nationally. Better still, mental-health providers rests in the top 0.04% nationally, and dental providers settles in the top 0.2% nationally.
Placed beside its immediate neighbors, mental-health providers runs far higher than the surrounding ZIPs on this measure. A healthier nearby ZIP overall is ZIP 92408, 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
Healthcare Access
healthier than 84%
5%
Holding it back
Chronic Disease Burden
healthier than 20%
21%
Social Need / SDOH
healthier than 2%
16%
Environmental Hazard
healthier than 15%
14%
Preventive Care
in the bottom 0.4%
13%
Risk Behavior
healthier than 4%
11%
Mental Health
healthier than 12%
8%
Disability
healthier than 1%
7%
Climate / Disaster Risk
healthier than 35%
5%
Lifting this score
Healthcare Access
healthier than 66%
5%
About typical
Environmental Hazard
healthier than 45%
14%
Holding it back
Chronic Disease Burden
healthier than 7%
21%
Social Need / SDOH
healthier than 3%
16%
Preventive Care
healthier than 2%
13%
Risk Behavior
in the bottom 0.8%
11%
Mental Health
healthier than 5%
8%
Disability
in the bottom 0.9%
7%
Climate / Disaster Risk
healthier than 31%
5%
Lifting this score
Healthcare Access
healthier than 68%
5%
About typical
Climate / Disaster Risk
healthier than 51%
5%
Holding it back
Chronic Disease Burden
healthier than 11%
21%
Social Need / SDOH
healthier than 3%
16%
Environmental Hazard
healthier than 21%
14%
Preventive Care
healthier than 2%
13%
Risk Behavior
in the bottom 0.00%
11%
Mental Health
healthier than 1%
8%
Disability
healthier than 1%
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
92408
Californiashares a border
Score 42.55
Closest healthier
92410
Californiashares a border
Score 35.00
Similar health profile
73119
Oklahoma99% similar profile
Score 27.09
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 | 25.8% | 23.4–28.2 |
| High blood pressure among adults | 39.9% | 36.7–42.9 |
| Cancer (non-skin) or melanoma among adults | 4.7% | 4.3–5.2 |
| Current asthma among adults | 11.9% | 10.5–13.2 |
| Coronary heart disease among adults | 8.6% | 7.8–9.5 |
| Chronic obstructive pulmonary disease among adults | 9.7% | 8.7–10.8 |
| Depression among adults | 22.2% | 19.4–25.0 |
| Diagnosed diabetes among adults | 18.5% | 16.6–20.6 |
| High cholesterol among adults who have ever been screened | 36.0% | 32.9–39.0 |
| Obesity among adults | 42.4% | 37.6–47.1 |
| Stroke among adults | 5.4% | 5.0–5.8 |
| All teeth lost among adults aged >=65 years | 33.6% | 29.0–38.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 24.7% | 21.3–28.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 69.9% | 67.1–72.4 |
| Visits to doctor for routine checkup within the past year among adults | 69.1% | 65.6–72.2 |
| Cholesterol screening among adults | 77.2% | 74.6–79.5 |
| Colorectal cancer screening among adults aged 45–75 years | 44.6% | 40.2–49.4 |
| Visited dentist or dental clinic in the past year among adults | 37.1% | 34.1–40.3 |
| Mammography use among women aged 50-74 years | 64.6% | 57.0–71.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.7% | 10.7–14.8 |
| Current cigarette smoking among adults | 21.2% | 18.6–23.9 |
| No leisure-time physical activity among adults | 41.6% | 37.3–45.8 |
| Short sleep duration among adults | 43.7% | 39.4–48.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 43.0% | 39.3–46.6 |
| Frequent mental distress among adults | 23.0% | 20.7–25.3 |
| Frequent physical distress among adults | 21.3% | 19.1–23.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 25.5% | 22.9–28.0 |
| Any disability among adults | 46.3% | 42.4–50.2 |
| Hearing disability among adults | 8.0% | 7.2–8.9 |
| Independent living disability among adults | 17.0% | 15.3–18.8 |
| Mobility disability among adults | 24.5% | 22.1–26.9 |
| Self-care disability among adults | 9.4% | 8.5–10.3 |
| Vision disability among adults | 14.4% | 13.1–15.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 35.5% | 31.8–39.4 |
| Food insecurity in the past 12 months among adults | 47.8% | 43.5–52.0 |
| Received food stamps in the past 12 months among adults | 51.0% | 46.8–55.0 |
| Housing insecurity in the past 12 months among adults | 34.4% | 30.9–38.0 |
| Lack of reliable transportation in the past 12 months among adults | 23.8% | 21.4–26.4 |
| Loneliness among adults | 42.7% | 38.7–47.0 |
| Utility services shut-off threat in the past 12 months among adults | 20.6% | 18.2–23.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 34.7% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 28.6% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 36.1% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 10.2% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 3.8% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 20.6% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 68.9% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 61.3% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 18.3% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 13.9% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 30.7% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 32.0% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 18.8% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 39.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $26,596 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $353,700 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,097 | $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 | 74.0 yr ± 1.37 | 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 1.37 years of 74.0, 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