ZIP code
93060
in Santa Paula, CaliforniaPopulation 34,501
49.31/ 100
Ranked #17,220 of 32,066 US ZIPs (bottom 46%)
Ranked #1,117 of 1,719 California ZIPs (bottom 35%)
Ranked #25 of 27 Oxnard-Thousand Oaks-Ventura, CA ZIPs (bottom 7.5%)
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.
Expected annual disaster loss
$1
in the top 0.5% nationally
Lower is healthier
ST97thUS99thDefinition & 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 ›Uninsured (under 65)
20.3%
in the top 4.3% nationally
Lower is healthier
ST92ndUS96thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Loud transportation noise
3.7%
in the top 2.6% nationally
Lower is healthier
ST83rdUS97thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 65 decibels — around the volume of normal conversation.
Full methodology ›Colon-cancer screening
54.3%
in the bottom 4.4% nationally
Higher is healthier
ST19thUS4thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Crowded housing
12.3%
in the top 3.3% nationally
Lower is healthier
ST83rdUS97thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Natural-disaster risk
in the top 3.7% nationally
Lower is healthier
ST85thUS96thDefinition & 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 ›Subsidized affordable housing
453 units
in the top 5.0% nationally
Higher is healthier
ST86thUS95thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Fair or poor health
30.8%
in the top 7.0% nationally
Lower is healthier
ST87thUS93rdDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Housing insecurity
22.7%
in the top 5.9% nationally
Lower is healthier
ST87thUS94thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Housing-cost burden
43.8%
in the top 6.3% nationally
Lower is healthier
ST74thUS94thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›The read
By the composite measure, Santa Paula, California (ZIP 93060) sits in the bottom 46% nationally (17,220th) and the bottom 35% of California (1,117th).
The main burdens in the data show plainly and lead the picture: modeled expected annual loss lands in the top 0.5% nationally, uninsured resides in the top 4.3% nationally, and loud transportation noise lies in the top 2.6% nationally. Modeled colon screening settles in the bottom 4.4% nationally, crowded housing stands in the top 3.3% nationally, and modeled disaster risk is in the top 3.7% nationally. Modeled fair or poor health rests in the top 7.0% nationally, and housing insecurity sits in the top 5.9% nationally. Housing-cost burden registers in the top 6.3% nationally. More positively, subsidized affordable housing lands in the top 5.0% nationally.
Compared with the ZIPs that surround it, expected annual loss runs far higher than the surrounding ZIPs on this measure. In plain language, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Loud transportation noise is the modeled share of an area exposed to road, rail, and air noise at or above 65 decibels, near conversation volume. ZIP 93001, just across the boundary, ranks healthier overall.
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 84%
21%
Healthcare Access
healthier than 84%
5%
About typical
Environmental Hazard
healthier than 41%
14%
Risk Behavior
healthier than 48%
11%
Mental Health
healthier than 55%
8%
Climate / Disaster Risk
healthier than 60%
5%
Holding it back
Social Need / SDOH
healthier than 29%
16%
Preventive Care
healthier than 5%
13%
Disability
healthier than 24%
7%
Lifting this score
Environmental Hazard
healthier than 68%
14%
Healthcare Access
healthier than 66%
5%
About typical
Chronic Disease Burden
healthier than 54%
21%
Mental Health
healthier than 48%
8%
Climate / Disaster Risk
healthier than 44%
5%
Holding it back
Social Need / SDOH
healthier than 33%
16%
Preventive Care
healthier than 16%
13%
Risk Behavior
healthier than 26%
11%
Disability
healthier than 22%
7%
Nothing measured is lifting this score.
About typical
Climate / Disaster Risk
healthier than 42%
5%
Healthcare Access
healthier than 50%
5%
Holding it back
Chronic Disease Burden
healthier than 25%
21%
Social Need / SDOH
healthier than 8%
16%
Environmental Hazard
healthier than 25%
14%
Preventive Care
healthier than 13%
13%
Risk Behavior
healthier than 8%
11%
Mental Health
healthier than 25%
8%
Disability
healthier than 8%
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
93001
Californiashares a border
Score 56.63
Closest healthier
93003
Californiashares a border
Score 60.24
Similar health profile
92173
California99% similar profile
Score 47.51
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 | 19.7% | 17.5–22.1 |
| High blood pressure among adults | 30.7% | 27.5–34.0 |
| Cancer (non-skin) or melanoma among adults | 5.6% | 5.1–6.2 |
| Current asthma among adults | 9.6% | 8.5–10.7 |
| Coronary heart disease among adults | 6.2% | 5.6–6.9 |
| Chronic obstructive pulmonary disease among adults | 5.5% | 4.9–6.2 |
| Depression among adults | 20.5% | 17.7–23.5 |
| Diagnosed diabetes among adults | 13.8% | 12.2–15.6 |
| High cholesterol among adults who have ever been screened | 35.4% | 31.8–38.9 |
| Obesity among adults | 30.0% | 24.8–35.6 |
| Stroke among adults | 3.4% | 3.2–3.7 |
| All teeth lost among adults aged >=65 years | 12.4% | 10.1–15.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 20.3% | 17.5–23.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 68.6% | 65.3–71.7 |
| Visits to doctor for routine checkup within the past year among adults | 70.8% | 67.1–74.3 |
| Cholesterol screening among adults | 83.0% | 81.0–85.0 |
| Colorectal cancer screening among adults aged 45–75 years | 54.3% | 49.6–58.9 |
| Visited dentist or dental clinic in the past year among adults | 53.8% | 50.6–57.1 |
| Mammography use among women aged 50-74 years | 72.3% | 65.2–78.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.4% | 12.9–18.2 |
| Current cigarette smoking among adults | 12.5% | 10.8–14.3 |
| No leisure-time physical activity among adults | 32.0% | 27.9–36.2 |
| Short sleep duration among adults | 36.1% | 31.4–41.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 30.8% | 27.8–33.9 |
| Frequent mental distress among adults | 18.1% | 16.2–20.2 |
| Frequent physical distress among adults | 16.3% | 14.5–18.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.4% | 16.4–20.4 |
| Any disability among adults | 37.1% | 33.1–41.1 |
| Hearing disability among adults | 6.9% | 6.2–7.7 |
| Independent living disability among adults | 10.1% | 9.1–11.3 |
| Mobility disability among adults | 17.4% | 15.5–19.5 |
| Self-care disability among adults | 5.4% | 4.9–5.9 |
| Vision disability among adults | 8.5% | 7.8–9.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 27.5% | 24.0–31.1 |
| Food insecurity in the past 12 months among adults | 27.2% | 24.0–30.5 |
| Received food stamps in the past 12 months among adults | 23.2% | 20.6–26.0 |
| Housing insecurity in the past 12 months among adults | 22.7% | 20.0–25.4 |
| Lack of reliable transportation in the past 12 months among adults | 13.3% | 11.8–14.9 |
| Loneliness among adults | 36.1% | 31.7–40.5 |
| Utility services shut-off threat in the past 12 months among adults | 10.6% | 9.3–12.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 13.5% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 15.1% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 30.9% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 16.0% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 6.7% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 3.4% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 91.2% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 43.8% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 56.0% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 12.3% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 30.2% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 43.0% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 14.6% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 35.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $80,979 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $635,100 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,736 | $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 | 80.3 yr ± 0.69 | 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 0.69 years of 80.3, 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