ZIP code
93446
in Paso Robles, CaliforniaPopulation 45,554
55.80/ 100
Ranked #8,519 of 32,066 US ZIPs (top 27%)
Ranked #734 of 1,719 California ZIPs (top 43%)
Ranked #15 of 21 San Luis Obispo-Paso Robles, CA ZIPs (bottom 29%)
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 1.6% nationally
Lower is healthier
ST94thUS98thDefinition & 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 ›Distance to a Superfund site
In this ZIP
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Superfund site — an abandoned or uncontrolled hazardous-waste site the EPA has listed for cleanup.
Full methodology ›Subsidized affordable housing
670 units
in the top 3.0% nationally
Higher is healthier
ST92ndUS97thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Industrial-pollution burden
in the bottom 4.1% nationally
Lower is healthier
ST10thUS4thDefinition & 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 ›Expected annual disaster loss
$0
in the top 8.3% nationally
Lower is healthier
ST70thUS92ndDefinition & 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 ›Crowded housing
6.6%
in the top 9.2% nationally
Lower is healthier
ST62ndUS91stDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Radon
1.3 pCi/L
in the bottom 37% nationally
Lower is healthier
ST90thUS37thDefinition & source ›
The modeled typical indoor radon level for this area, in picocuries per liter — the EPA recommends fixing a home at 4 pCi/L or above.
Modeled from indoor-radon measurements. In Alaska and Hawaii, where those measurements are not published, a US Geological Survey geologic radon-potential category stands in — a coarser input, disclosed rather than hidden.
Full methodology ›The read
By the composite health measure, Paso Robles, California (ZIP 93446) ranks in the top 27% healthiest ZIPs nationally (8,519th) and the top 43% of California (734th).
A number of measures pull each way for this area: subsidized affordable housing lies in the top 3.0% nationally, and modeled industrial-pollution burden lands in the bottom 4.1% nationally. Modeled obesity sits in the bottom 12.4% nationally. Distance to a community health center is at the national minimum, shared with about 23% of ZIPs. Lead in tap water settles in the bottom 13.6% nationally. Set against that, modeled disaster risk resides in the top 1.6% nationally, distance to a Superfund site registers at the national minimum, and modeled expected annual loss rests in the top 8.3% nationally. Crowded housing stands in the top 9.2% nationally, and housing-cost burden lies in the top 11.1% nationally.
Read against the ZIPs closest to it, park land runs far lower than the surrounding ZIPs on this measure. To spell things out, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Close by, ZIP 93428, 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 San Luis Obispo-Paso Robles, 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 76%
21%
Social Need / SDOH
healthier than 69%
16%
Risk Behavior
healthier than 82%
11%
Healthcare Access
healthier than 81%
5%
About typical
Environmental Hazard
healthier than 49%
14%
Mental Health
healthier than 50%
8%
Disability
healthier than 56%
7%
Climate / Disaster Risk
healthier than 43%
5%
Holding it back
Preventive Care
healthier than 31%
13%
Lifting this score
Social Need / SDOH
healthier than 64%
16%
Environmental Hazard
healthier than 72%
14%
Risk Behavior
healthier than 63%
11%
Healthcare Access
healthier than 62%
5%
About typical
Chronic Disease Burden
healthier than 42%
21%
Preventive Care
healthier than 54%
13%
Mental Health
healthier than 42%
8%
Disability
healthier than 54%
7%
Holding it back
Climate / Disaster Risk
healthier than 35%
5%
Lifting this score
Healthcare Access
healthier than 67%
5%
About typical
Chronic Disease Burden
healthier than 47%
21%
Social Need / SDOH
healthier than 40%
16%
Holding it back
Environmental Hazard
healthier than 7%
14%
Preventive Care
healthier than 27%
13%
Risk Behavior
healthier than 27%
11%
Mental Health
healthier than 33%
8%
Disability
healthier than 33%
7%
Climate / Disaster Risk
healthier than 13%
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.
Nearby
93426
Californiashares a border
Score 53.69
Closest healthier
93428
Californiashares a border
Score 60.83
Similar health profile
87114
New Mexico95% similar profile
Score 59.24
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 | 25.4% | 22.5–28.3 |
| High blood pressure among adults | 33.3% | 29.7–36.9 |
| Cancer (non-skin) or melanoma among adults | 8.9% | 8.1–9.8 |
| Current asthma among adults | 10.2% | 9.1–11.5 |
| Coronary heart disease among adults | 6.5% | 5.9–7.2 |
| Chronic obstructive pulmonary disease among adults | 6.3% | 5.6–7.0 |
| Depression among adults | 22.9% | 19.8–26.3 |
| Diagnosed diabetes among adults | 10.8% | 9.4–12.3 |
| High cholesterol among adults who have ever been screened | 35.2% | 31.5–39.2 |
| Obesity among adults | 28.4% | 23.0–34.2 |
| Stroke among adults | 3.5% | 3.2–3.8 |
| All teeth lost among adults aged >=65 years | 10.2% | 8.2–12.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.4% | 8.1–10.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 72.1% | 68.8–75.3 |
| Visits to doctor for routine checkup within the past year among adults | 72.4% | 68.7–76.0 |
| Cholesterol screening among adults | 86.7% | 85.2–88.1 |
| Colorectal cancer screening among adults aged 45–75 years | 64.4% | 59.3–69.2 |
| Visited dentist or dental clinic in the past year among adults | 65.9% | 62.5–69.3 |
| Mammography use among women aged 50-74 years | 75.7% | 68.2–82.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.9% | 13.3–18.9 |
| Current cigarette smoking among adults | 11.9% | 10.3–13.6 |
| No leisure-time physical activity among adults | 22.2% | 18.8–25.6 |
| Short sleep duration among adults | 32.0% | 26.5–37.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.9% | 18.5–23.3 |
| Frequent mental distress among adults | 16.9% | 15.0–18.8 |
| Frequent physical distress among adults | 14.3% | 12.7–15.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.7% | 13.1–16.3 |
| Any disability among adults | 30.7% | 27.1–34.4 |
| Hearing disability among adults | 6.9% | 6.2–7.7 |
| Independent living disability among adults | 8.4% | 7.5–9.2 |
| Mobility disability among adults | 14.5% | 12.8–16.2 |
| Self-care disability among adults | 3.9% | 3.6–4.3 |
| Vision disability among adults | 5.2% | 4.8–5.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.3% | 21.9–28.9 |
| Food insecurity in the past 12 months among adults | 15.1% | 13.1–17.1 |
| Received food stamps in the past 12 months among adults | 14.0% | 12.3–15.8 |
| Housing insecurity in the past 12 months among adults | 12.7% | 11.1–14.4 |
| Lack of reliable transportation in the past 12 months among adults | 8.3% | 7.4–9.3 |
| Loneliness among adults | 34.3% | 29.7–39.1 |
| Utility services shut-off threat in the past 12 months among adults | 6.9% | 6.0–7.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 11.0% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 12.1% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 9.5% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 30.6% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 5.3% | 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 | 94.8% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 39.2% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 68.2% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 6.6% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 12.9% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 53.5% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 21.8% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 41.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $97,943 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $707,500 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,966 | $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 | 79.4 yr ± 0.42 | 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 0.42 years of 79.4, 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