ZIP code
93426
in Bradley, CaliforniaPopulation 1,564
53.69/ 100
Ranked #11,095 of 32,066 US ZIPs (top 35%)
Ranked #846 of 1,719 California ZIPs (top 49%)
Ranked #18 of 21 San Luis Obispo-Paso Robles, CA ZIPs (bottom 14.3%)
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
in the bottom 1.3% nationally
Lower is healthier
ST3rdUS1stDefinition & 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 ›Distance to a nursing home
15.9 mi
in the top 4.9% nationally
Lower is healthier
ST94thUS95thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Natural-disaster risk
in the top 5.8% nationally
Lower is healthier
ST75thUS94thDefinition & 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 ›Slow internet speeds
1.6%
in the top 7.4% nationally
Lower is healthier
ST88thUS93rdDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Air-toxics cancer risk
37.9 per million
in the top 7.9% nationally
Lower is healthier
ST57thUS92ndDefinition & 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 ›Nitrate in drinking water
0.07%
in the top 8.3% nationally
Lower is healthier
ST83rdUS92ndDefinition & source ›
The modeled share of this area’s domestic-well groundwater at or above the federal nitrate limit of 10 milligrams per liter.
A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.
Full methodology ›Transportation noise
0.13%
in the bottom 9.0% nationally
Lower is healthier
ST6thUS9thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Distance to an emergency room
15.9 mi
in the top 9.7% nationally
Lower is healthier
ST91stUS90thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
Full methodology ›The read
By its overall health score, Bradley, California (ZIP 93426) lands in the top 35% healthiest ZIPs nationally (11,095th) and the top 49% of California (846th).
Strengths and concerns sit side by side across the measures here: modeled industrial-pollution burden lies in the bottom 1.3% nationally, and transportation noise resides in the bottom 9.0% nationally. Modeled pfas lands in the bottom 11.4% nationally. On the other hand, distance to a nursing home registers in the top 4.9% nationally, modeled disaster risk sits in the top 5.8% nationally, and slow internet speeds rests in the top 7.4% nationally. Modeled air-toxics cancer risk is in the top 7.9% nationally, modeled nitrate stands in the top 8.3% nationally, and distance to an emergency room settles in the top 9.7% nationally. Crowded housing lies in the top 12.6% nationally.
To translate a couple of terms, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. 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. Overall, the nearest healthier neighbor is ZIP 93446, 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 San Luis Obispo-Paso Robles, 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 68%
14%
Preventive Care
healthier than 66%
13%
Risk Behavior
healthier than 86%
11%
Mental Health
healthier than 60%
8%
About typical
Chronic Disease Burden
healthier than 46%
21%
Social Need / SDOH
healthier than 58%
16%
Disability
healthier than 46%
7%
Holding it back
Climate / Disaster Risk
healthier than 34%
5%
Healthcare Access
healthier than 19%
5%
Lifting this score
Environmental Hazard
healthier than 83%
14%
Preventive Care
healthier than 82%
13%
Risk Behavior
healthier than 72%
11%
About typical
Social Need / SDOH
healthier than 56%
16%
Mental Health
healthier than 55%
8%
Disability
healthier than 44%
7%
Holding it back
Chronic Disease Burden
healthier than 18%
21%
Climate / Disaster Risk
healthier than 30%
5%
Healthcare Access
healthier than 13%
5%
Lifting this score
Preventive Care
healthier than 60%
13%
Mental Health
healthier than 60%
8%
About typical
Environmental Hazard
healthier than 47%
14%
Risk Behavior
healthier than 40%
11%
Holding it back
Chronic Disease Burden
healthier than 7%
21%
Social Need / SDOH
healthier than 20%
16%
Disability
healthier than 20%
7%
Climate / Disaster Risk
healthier than 7%
5%
Healthcare Access
healthier than 7%
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
93446
Californiashares a border
Score 55.80
Closest healthier
93450
Californiashares a border
Score 54.65
Similar health profile
98286
Washington96% similar profile
Score 59.30
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 | 30.8% | 28.2–33.5 |
| High blood pressure among adults | 38.8% | 35.7–41.9 |
| Cancer (non-skin) or melanoma among adults | 11.0% | 10.2–12.0 |
| Current asthma among adults | 10.7% | 9.7–11.8 |
| Coronary heart disease among adults | 7.9% | 7.2–8.7 |
| Chronic obstructive pulmonary disease among adults | 7.8% | 6.8–8.8 |
| Depression among adults | 22.3% | 19.9–24.8 |
| Diagnosed diabetes among adults | 12.7% | 11.3–14.2 |
| High cholesterol among adults who have ever been screened | 40.3% | 37.0–43.4 |
| Obesity among adults | 29.5% | 25.1–34.1 |
| Stroke among adults | 4.2% | 3.8–4.6 |
| All teeth lost among adults aged >=65 years | 11.0% | 9.2–13.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.8% | 5.7–8.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.9% | 74.4–79.3 |
| Visits to doctor for routine checkup within the past year among adults | 77.1% | 74.5–79.5 |
| Cholesterol screening among adults | 89.8% | 88.6–90.9 |
| Colorectal cancer screening among adults aged 45–75 years | 69.1% | 65.2–72.6 |
| Visited dentist or dental clinic in the past year among adults | 66.9% | 64.0–69.5 |
| Mammography use among women aged 50-74 years | 73.6% | 67.2–79.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.5% | 12.6–16.5 |
| Current cigarette smoking among adults | 12.7% | 10.9–14.5 |
| No leisure-time physical activity among adults | 22.8% | 19.7–26.0 |
| Short sleep duration among adults | 30.8% | 26.6–35.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.6% | 19.2–24.2 |
| Frequent mental distress among adults | 16.2% | 14.6–17.7 |
| Frequent physical distress among adults | 15.5% | 13.9–17.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.9% | 12.5–15.5 |
| Any disability among adults | 32.0% | 28.7–35.3 |
| Hearing disability among adults | 8.1% | 7.3–8.9 |
| Independent living disability among adults | 8.6% | 7.7–9.6 |
| Mobility disability among adults | 16.9% | 15.0–19.0 |
| Self-care disability among adults | 4.3% | 3.8–4.8 |
| Vision disability among adults | 5.3% | 4.7–5.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.8% | 21.0–26.7 |
| Food insecurity in the past 12 months among adults | 12.5% | 10.8–14.4 |
| Received food stamps in the past 12 months among adults | 12.1% | 10.2–14.1 |
| Housing insecurity in the past 12 months among adults | 10.3% | 9.0–11.8 |
| Lack of reliable transportation in the past 12 months among adults | 7.1% | 6.2–8.0 |
| Loneliness among adults | 32.1% | 28.4–36.0 |
| Utility services shut-off threat in the past 12 months among adults | 5.8% | 5.1–6.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 12.9% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 16.0% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 9.0% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 26.1% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 5.8% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 1.7% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 91.5% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 33.9% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 68.6% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 5.4% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 11.6% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 62.3% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 25.0% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 44.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $102,500 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $458,400 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $980 | $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 | 84.1 yr ± 1.77 | 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 1.77 years of 84.1, 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