ZIP code
93012
in Camarillo, CaliforniaPopulation 35,791
63.87/ 100
Ranked #2,525 of 32,066 US ZIPs (top 7.9%)
Ranked #317 of 1,719 California ZIPs (top 18%)
Ranked #7 of 27 Oxnard-Thousand Oaks-Ventura, CA ZIPs (top 26%)
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.
Obesity
22.4%
in the bottom 2.4% nationally
Lower is healthier
ST14thUS2ndDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Expected annual disaster loss
$0
in the top 4.2% nationally
Lower is healthier
ST79thUS96thDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›Median household income
$135,217
in the top 6.0% nationally
Higher is healthier
ST82ndUS94thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Outer-floodplain exposure
8.4%
in the top 4.5% nationally
Lower is healthier
ST88thUS96thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 0.2%-annual-chance flood band — the “500-year” zone, a lower but real 1-in-500 yearly chance.
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 ›Utility shut-off threat
4.4%
in the bottom 6.6% nationally
Lower is healthier
ST15thUS7thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Energy-cost burden
1.5%
in the bottom 4.5% nationally
Lower is healthier
ST20thUS4thDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›Lead in tap water
0.00033 ppb
in the bottom 9.7% nationally
Lower is healthier
US10thDefinition & source ›
The lead level at the 90th percentile of tap-water samples reported by the public water systems serving this ZIP, in parts per billion — the EPA requires action above 15 ppb.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›Tooth loss
6.1%
in the bottom 5.0% nationally
Lower is healthier
ST16thUS5thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Housing-cost burden
40.1%
in the top 10.0% nationally
Lower is healthier
ST58thUS90thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Floodplain exposure
24.6%
in the top 13.4% nationally
Lower is healthier
ST90thUS87thDefinition & 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 ›The read
ZIP 93012, one of several in Camarillo, California, by its composite score, sits in the top 7.9% healthiest ZIPs nationally (2,525th) and the top 18% of California (317th).
The data opens on a genuinely even set of readings: modeled obesity resides in the bottom 2.4% nationally, and household income is in the top 6.0% nationally. Modeled utility shutoff lands in the bottom 6.6% nationally, and energy burden stands in the bottom 4.5% nationally. Lead in tap water registers in the bottom 9.7% nationally, modeled tooth loss settles in the bottom 5.0% nationally, and mental-health providers sits in the top 10.1% nationally. On the other side, modeled expected annual loss lies in the top 4.2% nationally, outer-floodplain exposure rests in the top 4.5% nationally, and housing-cost burden resides in the top 10.0% nationally.
Next to the surrounding area, park land runs far lower than the surrounding ZIPs on this measure. For anyone unfamiliar, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Outer-floodplain exposure is land with a lower but real 1-in-500 chance of flooding each year, nicknamed the "500-year floodplain". For a healthier comparison close by, see ZIP 90265, 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 Oxnard-Thousand Oaks-Ventura, CA metro area.
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 88%
21%
Social Need / SDOH
healthier than 90%
16%
Preventive Care
healthier than 68%
13%
Risk Behavior
healthier than 94%
11%
Mental Health
healthier than 79%
8%
Disability
healthier than 83%
7%
Healthcare Access
healthier than 87%
5%
About typical
Environmental Hazard
healthier than 53%
14%
Holding it back
Climate / Disaster Risk
healthier than 29%
5%
Lifting this score
Chronic Disease Burden
healthier than 64%
21%
Social Need / SDOH
healthier than 85%
16%
Environmental Hazard
healthier than 75%
14%
Preventive Care
healthier than 83%
13%
Risk Behavior
healthier than 87%
11%
Mental Health
healthier than 77%
8%
Disability
healthier than 78%
7%
Healthcare Access
healthier than 73%
5%
Holding it back
Climate / Disaster Risk
healthier than 27%
5%
Lifting this score
Social Need / SDOH
healthier than 83%
16%
Preventive Care
healthier than 88%
13%
Risk Behavior
healthier than 88%
11%
Mental Health
healthier than 83%
8%
Disability
healthier than 75%
7%
Healthcare Access
healthier than 63%
5%
About typical
Chronic Disease Burden
healthier than 42%
21%
Environmental Hazard
healthier than 54%
14%
Holding it back
Climate / Disaster Risk
in the bottom 0.00%
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
2 of our published findings list 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.
Above what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 84.1 ± 1.3 years. A median household income of $135,217 predicts 81.3 years — 2.8 years above.
Ranked #509 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Above its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 84.1 ± 1.3 years. The 48 nearest ZIP codes with estimates average 81.9 years — 2.2 years above them.
Ranked #1,311 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
90265
Californiashares a border
Score 66.82
Closest healthier
91320
Californiashares a border
Score 66.48
Similar health profile
27523
North Carolina99% similar profile
Score 70.25
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 | 22.7% | 20.1–25.3 |
| High blood pressure among adults | 31.1% | 27.8–34.4 |
| Cancer (non-skin) or melanoma among adults | 9.1% | 8.3–10.0 |
| Current asthma among adults | 9.6% | 8.5–10.7 |
| Coronary heart disease among adults | 5.9% | 5.2–6.5 |
| Chronic obstructive pulmonary disease among adults | 4.9% | 4.3–5.6 |
| Depression among adults | 20.6% | 17.9–23.6 |
| Diagnosed diabetes among adults | 10.2% | 8.9–11.6 |
| High cholesterol among adults who have ever been screened | 36.9% | 33.3–40.7 |
| Obesity among adults | 22.4% | 18.2–27.1 |
| Stroke among adults | 3.1% | 2.8–3.4 |
| All teeth lost among adults aged >=65 years | 6.1% | 4.9–7.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.7% | 4.9–6.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 74.0% | 70.7–76.9 |
| Visits to doctor for routine checkup within the past year among adults | 76.4% | 73.1–79.4 |
| Cholesterol screening among adults | 89.1% | 87.8–90.4 |
| Colorectal cancer screening among adults aged 45–75 years | 66.5% | 62.3–70.6 |
| Visited dentist or dental clinic in the past year among adults | 70.5% | 67.6–73.3 |
| Mammography use among women aged 50-74 years | 77.8% | 71.5–83.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.2% | 12.8–17.9 |
| Current cigarette smoking among adults | 8.4% | 7.2–9.7 |
| No leisure-time physical activity among adults | 19.2% | 16.3–22.3 |
| Short sleep duration among adults | 31.1% | 26.8–35.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.3% | 15.2–19.4 |
| Frequent mental distress among adults | 15.0% | 13.4–16.7 |
| Frequent physical distress among adults | 11.7% | 10.4–13.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.7% | 10.4–13.0 |
| Any disability among adults | 27.4% | 24.1–30.7 |
| Hearing disability among adults | 6.5% | 5.7–7.3 |
| Independent living disability among adults | 6.6% | 5.9–7.5 |
| Mobility disability among adults | 12.3% | 10.7–13.9 |
| Self-care disability among adults | 2.9% | 2.7–3.3 |
| Vision disability among adults | 3.9% | 3.6–4.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.7% | 18.7–24.6 |
| Food insecurity in the past 12 months among adults | 9.7% | 8.3–11.2 |
| Received food stamps in the past 12 months among adults | 8.1% | 6.9–9.3 |
| Housing insecurity in the past 12 months among adults | 8.8% | 7.6–10.1 |
| Lack of reliable transportation in the past 12 months among adults | 5.9% | 5.2–6.6 |
| Loneliness among adults | 31.7% | 27.5–35.9 |
| Utility services shut-off threat in the past 12 months among adults | 4.4% | 3.8–5.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 7.3% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 3.9% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 4.2% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 48.6% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 5.4% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 3.8% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 95.3% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 40.1% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 70.1% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 1.0% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 16.1% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 54.4% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 24.3% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 44.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $135,217 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $841,800 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $2,906 | $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 ± 0.64 | 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 0.64 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