ZIP code
95912
in Arbuckle, CaliforniaPopulation 4,855
43.10/ 100
Ranked #24,286 of 32,066 US ZIPs (bottom 24%)
Ranked #1,385 of 1,719 California ZIPs (bottom 19%)
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 2.0% nationally
Lower is healthier
ST93rdUS98thDefinition & 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 ›Fine-particle (PM2.5) exceedance
2.5%
in the top 3.1% nationally
Lower is healthier
ST73rdUS97thDefinition & 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 ›Dry extreme heat
84.2 days/year
in the top 4.4% nationally
Lower is healthier
ST85thUS96thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Uninsured (under 65)
18.6%
in the top 5.8% nationally
Lower is healthier
ST89thUS94thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Air-toxics cancer risk
40 per million
in the top 4.5% nationally
Lower is healthier
ST73rdUS96thDefinition & 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 ›Colon-cancer screening
55.5%
in the bottom 5.4% nationally
Higher is healthier
ST23rdUS5thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Crowded housing
8.7%
in the top 5.8% nationally
Lower is healthier
ST71stUS94thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Housing insecurity
21.5%
in the top 7.1% nationally
Lower is healthier
ST84thUS93rdDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Poverty rate
2.8%
in the bottom 9.0% nationally
Lower is healthier
ST7thUS9thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Loneliness
37.7%
in the top 9.8% nationally
Lower is healthier
ST67thUS90thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›The read
Arbuckle, California (ZIP 95912), by its overall standing, sits in the bottom 24% nationally (24,286th) and the bottom 19% of California (1,385th).
The data is direct about where this area carries real strain: modeled disaster risk stands in the top 2.0% nationally, fine-particle lands in the top 3.1% nationally, and extreme heat is in the top 4.4% nationally. Modeled uninsured resides in the top 5.8% nationally, air-toxics cancer risk rests in the top 4.5% nationally, and colon screening lies in the bottom 5.4% nationally. Crowded housing sits in the top 5.8% nationally, and modeled housing insecurity settles in the top 7.1% nationally. Modeled fair or poor health registers in the top 10.4% nationally. More encouragingly, poverty stands in the bottom 9.0% nationally.
Held up against its neighbors, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. Defined in plain 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. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. The nearest ZIP ranking healthier overall is ZIP 95607, 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
Chronic Disease Burden
healthier than 76%
21%
Healthcare Access
healthier than 65%
5%
Holding it back
Social Need / SDOH
healthier than 14%
16%
Environmental Hazard
healthier than 15%
14%
Preventive Care
healthier than 5%
13%
Risk Behavior
healthier than 35%
11%
Mental Health
healthier than 36%
8%
Disability
healthier than 25%
7%
Climate / Disaster Risk
healthier than 8%
5%
Nothing measured is lifting this score.
About typical
Chronic Disease Burden
healthier than 42%
21%
Environmental Hazard
healthier than 44%
14%
Healthcare Access
healthier than 42%
5%
Holding it back
Social Need / SDOH
healthier than 21%
16%
Preventive Care
healthier than 16%
13%
Risk Behavior
healthier than 17%
11%
Mental Health
healthier than 26%
8%
Disability
healthier than 24%
7%
Climate / Disaster Risk
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 ›
Findings that name this ZIP
One of our published findings lists 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 14.8; chronic-disease standing 75.8 — 61 points apart, heavier on the environment than it is on chronic illness.
Ranked #15,522 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
95607
Californiashares a border
Score 49.48
Closest healthier
95645
Californiashares a border
Score 43.95
Similar health profile
95358
California99% similar profile
Score 39.96
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 | 21.7% | 18.9–24.4 |
| High blood pressure among adults | 30.7% | 26.8–34.5 |
| Cancer (non-skin) or melanoma among adults | 6.0% | 5.4–6.5 |
| Current asthma among adults | 10.1% | 8.9–11.3 |
| Coronary heart disease among adults | 6.3% | 5.6–6.9 |
| Chronic obstructive pulmonary disease among adults | 6.4% | 5.6–7.2 |
| Depression among adults | 22.3% | 18.9–25.8 |
| Diagnosed diabetes among adults | 13.0% | 11.3–14.7 |
| High cholesterol among adults who have ever been screened | 34.2% | 30.1–38.4 |
| Obesity among adults | 35.5% | 27.5–43.9 |
| Stroke among adults | 3.5% | 3.2–3.8 |
| All teeth lost among adults aged >=65 years | 16.1% | 13.0–19.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 18.6% | 15.3–22.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 69.2% | 65.6–72.3 |
| Visits to doctor for routine checkup within the past year among adults | 68.3% | 63.7–72.5 |
| Cholesterol screening among adults | 82.1% | 79.4–84.4 |
| Colorectal cancer screening among adults aged 45–75 years | 55.5% | 49.8–61.1 |
| Visited dentist or dental clinic in the past year among adults | 53.9% | 49.9–57.8 |
| Mammography use among women aged 50-74 years | 73.0% | 64.3–80.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.4% | 14.3–20.7 |
| Current cigarette smoking among adults | 14.3% | 12.2–16.6 |
| No leisure-time physical activity among adults | 30.8% | 25.8–35.8 |
| Short sleep duration among adults | 35.2% | 28.6–42.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 29.0% | 25.5–32.7 |
| Frequent mental distress among adults | 19.0% | 16.8–21.3 |
| Frequent physical distress among adults | 16.7% | 14.7–18.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.9% | 16.6–21.3 |
| Any disability among adults | 37.4% | 32.6–42.3 |
| Hearing disability among adults | 6.8% | 6.0–7.6 |
| Independent living disability among adults | 10.3% | 9.0–11.6 |
| Mobility disability among adults | 17.1% | 15.0–19.4 |
| Self-care disability among adults | 5.2% | 4.6–5.8 |
| Vision disability among adults | 7.7% | 6.9–8.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 30.4% | 26.3–34.9 |
| Food insecurity in the past 12 months among adults | 25.8% | 21.8–30.3 |
| Received food stamps in the past 12 months among adults | 22.5% | 19.2–26.3 |
| Housing insecurity in the past 12 months among adults | 21.5% | 18.5–24.8 |
| Lack of reliable transportation in the past 12 months among adults | 12.6% | 10.9–14.5 |
| Loneliness among adults | 37.7% | 32.2–43.2 |
| Utility services shut-off threat in the past 12 months among adults | 10.3% | 8.9–11.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 2.8% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 12.7% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 24.7% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 17.6% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 2.4% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 1.1% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 80.1% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 26.0% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 69.1% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 8.7% | 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 | 47.2% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 13.2% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 35.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $86,457 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $435,800 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,172 | $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 ± 1.10 | 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 1.10 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