ZIP code
95426
in Cobb, CaliforniaPopulation 1,257
54.86/ 100
Ranked #9,616 of 32,066 US ZIPs (top 30%)
Ranked #781 of 1,719 California 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.
Natural-disaster risk
in the top 4.6% nationally
Lower is healthier
ST81stUS95thDefinition & 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 ›Homeownership rate
97.4%
in the top 6.1% nationally
Higher is healthier
ST97thUS94thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Unemployment rate
10.4%
in the top 8.8% nationally
Lower is healthier
ST85thUS91stDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Tooth loss
5.9%
in the bottom 4.4% nationally
Lower is healthier
ST14thUS4thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Fine-particle (PM2.5) exceedance
0.99%
in the top 9.6% nationally
Lower is healthier
ST52ndUS90thDefinition & 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 ›Floodplain exposure
0.50%
in the bottom 9.7% nationally
Lower is healthier
ST23rdUS10thDefinition & 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
1.1%
in the top 10.0% nationally
Lower is healthier
ST85thUS90thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Distance to a community health center
11.6 mi
in the top 17% nationally
Lower is healthier
ST93rdUS83rdDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest federally funded community health center, which serves patients regardless of ability to pay.
Full methodology ›Uninsured (under 65)
5.4%
in the bottom 9.1% nationally
Lower is healthier
ST20thUS9thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Arsenic in groundwater
2.1%
in the bottom 27% nationally
Lower is healthier
ST9thUS27thDefinition & source ›
The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms 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 ›The read
On balance, and by the composite measure, Cobb, California (ZIP 95426) ranks in the top 30% healthiest ZIPs nationally (9,616th) and the top 45% of California (781st).
A number of signals point in a favorable direction for this area: homeownership stands in the top 6.1% nationally, and modeled tooth loss settles in the bottom 4.4% nationally. Floodplain exposure lies in the bottom 9.7% nationally. Modeled loud transportation noise resides at the national minimum, shared with about 22% of ZIPs. Working the other way, modeled disaster risk lands in the top 4.6% nationally, and unemployment registers in the top 8.8% nationally. Fiber broadband sits at the national minimum, shared with about 19% of ZIPs. Modeled fine-particle rests in the top 9.6% nationally, slow internet speeds is in the top 10.0% nationally, and households without a vehicle stands in the top 13.6% nationally.
In plainer terms, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. 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". For a healthier nearby ZIP overall, look to ZIP 95425, 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Preventive Care
healthier than 70%
13%
Risk Behavior
healthier than 81%
11%
Climate / Disaster Risk
healthier than 70%
5%
About typical
Chronic Disease Burden
healthier than 59%
21%
Social Need / SDOH
healthier than 58%
16%
Environmental Hazard
healthier than 47%
14%
Mental Health
healthier than 48%
8%
Disability
healthier than 58%
7%
Holding it back
Healthcare Access
healthier than 14%
5%
Lifting this score
Environmental Hazard
healthier than 72%
14%
Preventive Care
healthier than 85%
13%
Risk Behavior
healthier than 63%
11%
About typical
Social Need / SDOH
healthier than 56%
16%
Disability
healthier than 55%
7%
Climate / Disaster Risk
healthier than 51%
5%
Holding it back
Chronic Disease Burden
healthier than 25%
21%
Mental Health
healthier than 40%
8%
Healthcare Access
healthier than 9%
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
95425
Californiashares a border
Score 58.85
Closest healthier
95441
Californiaabout 0.7 mi away
Score 61.95
Similar health profile
04609
Maine98% similar profile
Score 59.80
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 | 29.1% | 25.6–32.8 |
| High blood pressure among adults | 37.5% | 33.2–42.0 |
| Cancer (non-skin) or melanoma among adults | 10.7% | 9.7–11.8 |
| Current asthma among adults | 10.6% | 9.4–12.0 |
| Coronary heart disease among adults | 7.6% | 6.7–8.7 |
| Chronic obstructive pulmonary disease among adults | 7.4% | 6.3–8.8 |
| Depression among adults | 23.9% | 20.5–27.9 |
| Diagnosed diabetes among adults | 11.7% | 10.0–13.7 |
| High cholesterol among adults who have ever been screened | 39.1% | 34.7–43.8 |
| Obesity among adults | 29.7% | 22.8–37.7 |
| Stroke among adults | 3.9% | 3.4–4.3 |
| All teeth lost among adults aged >=65 years | 5.9% | 4.7–7.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.4% | 4.4–6.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.8% | 72.3–79.0 |
| Visits to doctor for routine checkup within the past year among adults | 75.4% | 71.5–79.0 |
| Cholesterol screening among adults | 88.9% | 87.2–90.5 |
| Colorectal cancer screening among adults aged 45–75 years | 68.7% | 63.5–73.6 |
| Visited dentist or dental clinic in the past year among adults | 69.7% | 66.4–73.0 |
| Mammography use among women aged 50-74 years | 77.2% | 69.7–83.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.3% | 13.5–19.5 |
| Current cigarette smoking among adults | 12.3% | 10.3–14.7 |
| No leisure-time physical activity among adults | 20.4% | 16.9–24.7 |
| Short sleep duration among adults | 32.4% | 26.4–38.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 19.8% | 17.1–23.0 |
| Frequent mental distress among adults | 16.4% | 14.5–18.5 |
| Frequent physical distress among adults | 14.6% | 12.8–16.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.5% | 11.9–15.4 |
| Any disability among adults | 31.0% | 26.9–35.7 |
| Hearing disability among adults | 7.6% | 6.7–8.7 |
| Independent living disability among adults | 8.1% | 7.1–9.2 |
| Mobility disability among adults | 15.3% | 13.1–17.8 |
| Self-care disability among adults | 4.0% | 3.5–4.6 |
| Vision disability among adults | 4.6% | 4.1–5.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.6% | 19.1–26.5 |
| Food insecurity in the past 12 months among adults | 10.8% | 8.8–13.0 |
| Received food stamps in the past 12 months among adults | 11.0% | 9.0–13.2 |
| Housing insecurity in the past 12 months among adults | 9.4% | 7.8–11.0 |
| Lack of reliable transportation in the past 12 months among adults | 6.7% | 5.7–7.7 |
| Loneliness among adults | 32.4% | 27.2–37.7 |
| Utility services shut-off threat in the past 12 months among adults | 5.5% | 4.6–6.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 5.5% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 0.2% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 12.3% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 33.6% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 10.4% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 10.6% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 87.5% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 18.3% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 97.4% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 4.1% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 53.7% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 40.8% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 56.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $84,000 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $311,900 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | — | $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 | 80.4 yr ± 1.92 | 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 1.92 years of 80.4, 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