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ZipVitals

ZIP code

93441

in Los Olivos, CaliforniaPopulation 1,134

62.39/ 100

Ranked #3,305 of 32,066 US ZIPs (top 10.4%)

Ranked #393 of 1,719 California ZIPs (top 23%)

Ranked #9 of 23 Santa Maria-Santa Barbara, CA ZIPs (top 39%)

Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.

Robust across all 9 health domains

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 2.6% nationally

Lower is healthier

ST90th
US97th
Definition & 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 ›

Median household income

$142,760

in the top 4.8% nationally

Higher is healthier

ST85th
US95th
Definition & source ›

The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.

Full methodology ›

Home broadband subscription

100%

at the national maximum

Higher is healthier

ST99th
US99th
Definition & source ›

The share of households with a broadband internet subscription.

Full methodology ›

Obesity

24.4%

in the bottom 4.7% nationally

Lower is healthier

ST24th
US5th
Definition & source ›

The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.

Full methodology ›

Industrial-pollution burden

in the bottom 4.1% nationally

Lower is healthier

ST10th
US4th
Definition & 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 ›

Fatal road crashes

44.1 per 100,000 residents per year

in the top 5.5% nationally

Lower is healthier

ST93rd
US95th
Definition & source ›

The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.

A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.

Full methodology ›

Energy-cost burden

1.3%

in the bottom 2.4% nationally

Lower is healthier

ST12th
US2nd
Definition & 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 ›

Civic-institution access

0.77 per 1,000 residents

in the top 6.6% nationally

Higher is healthier

ST86th
US93rd
Definition & source ›

The number of civic and social organizations inside this ZIP’s boundary, per 1,000 residents.

Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.

Full methodology ›

Short sleep

29.1%

in the bottom 6.2% nationally

Lower is healthier

ST6th
US6th
Definition & source ›

The estimated share of adults who usually sleep less than seven hours in a 24-hour period.

Full methodology ›

Utility shut-off threat

4.6%

in the bottom 8.6% nationally

Lower is healthier

ST17th
US9th
Definition & source ›

The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.

Full methodology ›

The read

Los Olivos, California (ZIP 93441) ranks in the top 10.4% healthiest ZIPs nationally (3,305th) and the top 23% of California (393rd).

continue reading

The strongest marks in the data are worth naming first: household income registers in the top 4.8% nationally, and home broadband subscription lies at the national maximum. Modeled obesity is in the bottom 4.7% nationally, and industrial-pollution burden registers in the bottom 4.1% nationally. Modeled energy burden lies in the bottom 2.4% nationally, civic is in the top 6.6% nationally, and modeled short sleep registers in the bottom 6.2% nationally. Modeled utility shutoff lies in the bottom 8.6% nationally. On the other side, modeled disaster risk is in the top 2.6% nationally, and fatal road crashes registers in the top 5.5% nationally.

Against its neighbors, park land runs far higher than the surrounding ZIPs on this measure. For context, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Energy burden is the share of household income that goes to home energy bills. The closest ZIP that ranks healthier overall is ZIP 93427, 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 Santa Maria-Santa Barbara, CA metro area.

Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.

Compare within

Lifting this score

Chronic Disease Burden

healthier than 73%

21%

Social Need / SDOH

healthier than 91%

16%

Environmental Hazard

healthier than 86%

14%

Preventive Care

healthier than 75%

13%

Risk Behavior

healthier than 94%

11%

Mental Health

healthier than 70%

8%

Disability

healthier than 72%

7%

Climate / Disaster Risk

healthier than 79%

5%

Holding it back

Healthcare Access

healthier than 36%

5%

Lifting this score

Social Need / SDOH

healthier than 86%

16%

Environmental Hazard

healthier than 90%

14%

Preventive Care

healthier than 88%

13%

Risk Behavior

healthier than 89%

11%

Mental Health

healthier than 66%

8%

Disability

healthier than 66%

7%

About typical

Climate / Disaster Risk

healthier than 59%

5%

Holding it back

Chronic Disease Burden

healthier than 38%

21%

Healthcare Access

healthier than 23%

5%

Lifting this score

Social Need / SDOH

healthier than 77%

16%

Environmental Hazard

healthier than 73%

14%

Preventive Care

healthier than 86%

13%

Risk Behavior

healthier than 86%

11%

Disability

healthier than 64%

7%

About typical

Mental Health

healthier than 59%

8%

Holding it back

Chronic Disease Burden

healthier than 18%

21%

Climate / Disaster Risk

healthier than 27%

5%

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.

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
MeasureCrude prevalence95% CI
Arthritis among adults28.6%25.4–31.9
High blood pressure among adults34.7%31.0–38.7
Cancer (non-skin) or melanoma among adults10.9%9.8–12.0
Current asthma among adults10.2%9.0–11.5
Coronary heart disease among adults6.8%5.9–7.8
Chronic obstructive pulmonary disease among adults6.1%4.9–7.4
Depression among adults22.5%19.3–25.9
Diagnosed diabetes among adults10.4%8.8–12.1
High cholesterol among adults who have ever been screened36.9%33.0–41.0
Obesity among adults24.4%19.4–29.9
Stroke among adults3.5%3.0–4.0
All teeth lost among adults aged >=65 years8.2%6.5–10.1
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years5.6%4.4–7.0
Taking medicine to control high blood pressure among adults with high blood pressure75.6%72.1–78.7
Visits to doctor for routine checkup within the past year among adults76.3%72.8–79.6
Cholesterol screening among adults90.1%88.5–91.4
Colorectal cancer screening among adults aged 45–75 years69.9%65.0–74.3
Visited dentist or dental clinic in the past year among adults71.8%68.7–74.8
Mammography use among women aged 50-74 years75.8%68.1–82.2
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults15.7%13.1–18.6
Current cigarette smoking among adults9.4%7.3–11.6
No leisure-time physical activity among adults18.8%15.3–22.6
Short sleep duration among adults29.1%24.0–34.4
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults17.6%14.7–20.5
Frequent mental distress among adults14.9%13.0–17.0
Frequent physical distress among adults13.2%11.2–15.2
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults12.1%10.3–14.0
Any disability among adults29.7%25.6–34.1
Hearing disability among adults7.4%6.4–8.4
Independent living disability among adults7.2%6.0–8.4
Mobility disability among adults14.2%11.7–16.8
Self-care disability among adults3.4%2.8–4.0
Vision disability among adults4.2%3.5–4.8
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults20.9%17.6–24.3
Food insecurity in the past 12 months among adults9.2%7.4–11.4
Received food stamps in the past 12 months among adults8.5%6.7–10.7
Housing insecurity in the past 12 months among adults8.1%6.7–9.7
Lack of reliable transportation in the past 12 months among adults5.6%4.8–6.6
Loneliness among adults31.7%27.2–36.6
Utility services shut-off threat in the past 12 months among adults4.6%3.8–5.5
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)CA median (p10–p90)
Poverty rate9.8%10.6% (3.1–25.8%) n=32,36410.6% (4.1–24.9%) n=1,714
Uninsured 18–641.8%9.0% (1.5–24.3%) n=32,2867.7% (1.7–17.9%) n=1,704
No HS diploma (25+)1.6%7.9% (1.8–20.7%) n=32,5059.8% (1.4–30.9%) n=1,729
Bachelor's or higher (25+)60.0%23.3% (9.2–53.6%) n=32,50531.3% (9.9–68.2%) n=1,729
Unemployment rate (16+)3.4%3.9% (0.0–9.8%) n=32,2746.1% (0.8–12.0%) n=1,714
Households without a vehicle5.4%3.9% (0.0–12.5%) n=32,3224.5% (0.0–12.2%) n=1,708
Broadband subscription100.0%89.3% (75.1–97.1%) n=32,32293.4% (82.1–98.4%) n=1,708
Housing cost burden (≥30% income)41.3%23.7% (10.6–40.0%) n=32,32238.6% (24.4–50.5%) n=1,708
Homeownership rate88.4%78.7% (51.7–94.0%) n=32,32264.1% (31.9–86.4%) n=1,708
Crowded housing (>1 per room)0.0%1.3% (0.0–6.3%) n=32,3224.8% (0.0–15.9%) n=1,708
Foreign-born population8.8%2.6% (0.0–18.6%) n=32,55318.9% (3.0–40.4%) n=1,730
Single-parent households68.7%53.6% (37.3–74.1%) n=32,08748.4% (35.1–72.3%) n=1,692
Population 65+32.2%19.4% (10.8–33.6%) n=32,55317.0% (9.7–35.7%) n=1,730
Median age58.9 yr42.2 yr (33.0–56.3) n=32,29240.1 yr (31.8–57.0) n=1,712
Median household income$142,760$72,070 ($46,039–$118,707) n=30,318$93,448 ($54,188–$159,562) n=1,584
Median home value$1,503,100$222,200 ($100,300–$579,820) n=30,049$659,800 ($300,520–$1,493,340) n=1,593
Median gross rent$2,194$1,021 ($677–$1,912) n=25,670$1,912 ($1,113–$2,923) n=1,461
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)CA median (p10–p90)
Life expectancy at birth85.7 yr ± 1.7478.9 yr (74.7–82.8) n=31,30880.5 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 1.74 years of 85.7, and it’s very unlikely to be off by more than twice that.

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