ZIP code
93458
in Santa Maria, CaliforniaPopulation 59,148
43.16/ 100
Ranked #24,232 of 32,066 US ZIPs (bottom 24%)
Ranked #1,381 of 1,719 California ZIPs (bottom 20%)
Ranked #21 of 23 Santa Maria-Santa Barbara, CA ZIPs (bottom 8.7%)
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.
Uninsured (under 65)
27.5%
in the top 1.6% nationally
Lower is healthier
ST98thUS98thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Colon-cancer screening
50.3%
in the bottom 2.2% nationally
Higher is healthier
ST10thUS2ndDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Crowded housing
26.8%
in the top 0.7% nationally
Lower is healthier
ST98thUS99thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Vision disability
10.6%
in the top 3.7% nationally
Lower is healthier
ST94thUS96thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Fair or poor health
34.6%
in the top 3.0% nationally
Lower is healthier
ST94thUS97thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Cognitive disability
22.9%
in the top 2.6% nationally
Lower is healthier
ST96thUS97thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Housing insecurity
29.3%
in the top 1.9% nationally
Lower is healthier
ST96thUS98thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full 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 ›Loneliness
41.7%
in the top 2.2% nationally
Lower is healthier
ST91stUS98thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Food insecurity
37.7%
in the top 2.6% nationally
Lower is healthier
ST96thUS97thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›The read
By the composite measure, ZIP 93458, one of several in Santa Maria, California sits in the bottom 24% nationally (24,232nd) and the bottom 20% of California (1,381st).
Where this area is stretched, the data is unambiguous: modeled uninsured rests in the top 1.6% nationally, modeled colon screening sits in the bottom 2.2% nationally, and crowded housing registers in the top 0.7% nationally. Modeled vision disability lands in the top 3.7% nationally, fair or poor health resides in the top 3.0% nationally, and cognitive disability lies in the top 2.6% nationally. Modeled housing insecurity settles in the top 1.9% nationally, and disaster risk stands in the top 2.0% nationally. Modeled loneliness is in the top 2.2% nationally, and food insecurity rests in the top 2.6% nationally.
Compared with the ZIPs that surround it, crowded housing runs far higher than the surrounding ZIPs on this measure. In plain language, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. ZIP 93444, 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 Santa Maria-Santa Barbara, 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 89%
21%
Climate / Disaster Risk
healthier than 85%
5%
Healthcare Access
healthier than 90%
5%
About typical
Environmental Hazard
healthier than 59%
14%
Holding it back
Social Need / SDOH
healthier than 8%
16%
Preventive Care
in the bottom 0.4%
13%
Risk Behavior
healthier than 20%
11%
Mental Health
healthier than 30%
8%
Disability
healthier than 11%
7%
Lifting this score
Chronic Disease Burden
healthier than 69%
21%
Environmental Hazard
healthier than 78%
14%
Climate / Disaster Risk
healthier than 67%
5%
Healthcare Access
healthier than 79%
5%
Holding it back
Social Need / SDOH
healthier than 13%
16%
Preventive Care
healthier than 2%
13%
Risk Behavior
healthier than 8%
11%
Mental Health
healthier than 20%
8%
Disability
healthier than 11%
7%
Lifting this score
Chronic Disease Burden
healthier than 82%
21%
Healthcare Access
healthier than 73%
5%
About typical
Environmental Hazard
healthier than 41%
14%
Climate / Disaster Risk
healthier than 45%
5%
Holding it back
Social Need / SDOH
healthier than 5%
16%
Preventive Care
healthier than 5%
13%
Risk Behavior
in the bottom 0.00%
11%
Mental Health
healthier than 14%
8%
Disability
healthier than 5%
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
93434
Californiashares a border
Score 41.00
Closest healthier
93444
Californiashares a border
Score 59.88
Similar health profile
93905
California99% similar profile
Score 41.21
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 | 17.8% | 15.7–20.0 |
| High blood pressure among adults | 28.6% | 25.4–31.9 |
| Cancer (non-skin) or melanoma among adults | 3.8% | 3.4–4.2 |
| Current asthma among adults | 9.7% | 8.6–11.0 |
| Coronary heart disease among adults | 5.4% | 4.9–6.0 |
| Chronic obstructive pulmonary disease among adults | 5.6% | 5.0–6.2 |
| Depression among adults | 21.4% | 18.3–24.6 |
| Diagnosed diabetes among adults | 12.7% | 11.2–14.4 |
| High cholesterol among adults who have ever been screened | 30.6% | 27.2–34.1 |
| Obesity among adults | 31.4% | 25.6–37.6 |
| Stroke among adults | 3.2% | 2.9–3.4 |
| All teeth lost among adults aged >=65 years | 16.6% | 13.7–19.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 27.5% | 24.5–30.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 62.3% | 58.8–65.6 |
| Visits to doctor for routine checkup within the past year among adults | 64.7% | 60.3–68.8 |
| Cholesterol screening among adults | 76.3% | 73.8–78.6 |
| Colorectal cancer screening among adults aged 45–75 years | 50.3% | 45.1–55.2 |
| Visited dentist or dental clinic in the past year among adults | 45.8% | 42.2–49.3 |
| Mammography use among women aged 50-74 years | 69.5% | 61.0–76.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.5% | 13.7–19.6 |
| Current cigarette smoking among adults | 15.2% | 13.3–17.4 |
| No leisure-time physical activity among adults | 36.2% | 31.7–40.9 |
| Short sleep duration among adults | 36.8% | 30.9–42.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 34.6% | 31.5–38.0 |
| Frequent mental distress among adults | 20.4% | 18.2–22.7 |
| Frequent physical distress among adults | 17.6% | 15.9–19.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 22.9% | 20.8–25.3 |
| Any disability among adults | 41.1% | 37.0–45.4 |
| Hearing disability among adults | 6.3% | 5.6–7.1 |
| Independent living disability among adults | 12.3% | 11.2–13.7 |
| Mobility disability among adults | 17.8% | 15.9–19.8 |
| Self-care disability among adults | 6.1% | 5.6–6.7 |
| Vision disability among adults | 10.6% | 9.7–11.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 32.8% | 28.9–37.0 |
| Food insecurity in the past 12 months among adults | 37.7% | 34.2–41.4 |
| Received food stamps in the past 12 months among adults | 33.5% | 30.4–36.7 |
| Housing insecurity in the past 12 months among adults | 29.3% | 26.3–32.4 |
| Lack of reliable transportation in the past 12 months among adults | 18.3% | 16.5–20.3 |
| Loneliness among adults | 41.7% | 36.8–46.9 |
| Utility services shut-off threat in the past 12 months among adults | 14.9% | 13.2–16.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 19.6% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 30.1% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 49.6% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 9.8% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 7.7% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 6.3% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 88.8% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 46.3% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 42.9% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 26.8% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 39.8% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 36.1% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 8.5% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 27.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $75,257 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $511,800 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,895 | $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 | 79.8 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 79.8, 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