ZIP code
93405
in San Luis Obispo, CaliforniaPopulation 25,002
48.64/ 100
Ranked #18,145 of 32,066 US ZIPs (bottom 43%)
Ranked #1,163 of 1,719 California ZIPs (bottom 32%)
Ranked #20 of 21 San Luis Obispo-Paso Robles, CA ZIPs (bottom 4.8%)
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.
High cholesterol
27.5%
in the bottom 1.9% nationally
Lower is healthier
ST2ndUS2ndDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Housing-cost burden
57.4%
in the top 1.5% nationally
Lower is healthier
ST97thUS99thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Poverty rate
43.5%
in the top 2.4% nationally
Lower is healthier
ST98thUS98thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Homeownership rate
34.7%
in the bottom 4.0% nationally
Higher is healthier
ST12thUS4thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Cognitive disability
21.4%
in the top 5.1% nationally
Lower is healthier
ST93rdUS95thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›High blood pressure
25.8%
in the bottom 3.5% nationally
Lower is healthier
ST8thUS3rdDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Loud transportation noise
2.8%
in the top 4.3% nationally
Lower is healthier
ST73rdUS96thDefinition & 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 ›Loneliness
39.7%
in the top 4.7% nationally
Lower is healthier
ST82ndUS95thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Obesity
26.6%
in the bottom 8.4% nationally
Lower is healthier
ST36thUS8thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Lack of transportation
14.5%
in the top 7.1% nationally
Lower is healthier
ST88thUS93rdDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›The read
ZIP 93405, one of several in San Luis Obispo, California, by its composite score, sits in the bottom 43% nationally (18,145th) and the bottom 32% of California (1,163rd).
The data opens on real and measurable burdens: housing-cost burden rests in the top 1.5% nationally, and poverty resides in the top 2.4% nationally. Homeownership is in the bottom 4.0% nationally, and modeled cognitive disability lands in the top 5.1% nationally. Modeled loud transportation noise stands in the top 4.3% nationally, and loneliness registers in the top 4.7% nationally. More encouragingly, modeled high cholesterol settles in the bottom 1.9% nationally, and high blood pressure sits in the bottom 3.5% nationally. Distance to an emergency room lies at the national minimum, shared with about 11% of ZIPs. Modeled obesity rests in the bottom 8.4% nationally.
Next to the surrounding area, park land runs far lower than the surrounding ZIPs on this measure. For anyone unfamiliar, 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. For a healthier comparison close by, see ZIP 93401, 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 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 93%
21%
Risk Behavior
healthier than 70%
11%
Climate / Disaster Risk
healthier than 93%
5%
Healthcare Access
healthier than 86%
5%
About typical
Environmental Hazard
healthier than 51%
14%
Holding it back
Social Need / SDOH
healthier than 20%
16%
Preventive Care
healthier than 5%
13%
Mental Health
healthier than 3%
8%
Disability
healthier than 33%
7%
Lifting this score
Chronic Disease Burden
healthier than 78%
21%
Environmental Hazard
healthier than 74%
14%
Climate / Disaster Risk
healthier than 87%
5%
Healthcare Access
healthier than 71%
5%
About typical
Risk Behavior
healthier than 46%
11%
Holding it back
Social Need / SDOH
healthier than 26%
16%
Preventive Care
healthier than 16%
13%
Mental Health
in the bottom 0.5%
8%
Disability
healthier than 32%
7%
Lifting this score
Chronic Disease Burden
healthier than 93%
21%
Climate / Disaster Risk
healthier than 80%
5%
Healthcare Access
healthier than 80%
5%
Holding it back
Social Need / SDOH
healthier than 7%
16%
Environmental Hazard
healthier than 27%
14%
Preventive Care
healthier than 7%
13%
Risk Behavior
healthier than 7%
11%
Mental Health
healthier than 7%
8%
Disability
healthier than 7%
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
93401
Californiashares a border
Score 62.49
Closest healthier
93402
Californiashares a border
Score 63.68
Similar health profile
83440
Idaho98% similar profile
Score 49.11
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 | 17.7% | 15.7–19.7 |
| High blood pressure among adults | 25.8% | 22.9–28.7 |
| Cancer (non-skin) or melanoma among adults | 5.7% | 5.2–6.2 |
| Current asthma among adults | 11.2% | 9.9–12.6 |
| Coronary heart disease among adults | 5.2% | 4.6–5.7 |
| Chronic obstructive pulmonary disease among adults | 6.0% | 5.3–6.6 |
| Depression among adults | 28.1% | 24.5–31.9 |
| Diagnosed diabetes among adults | 7.9% | 6.9–9.0 |
| High cholesterol among adults who have ever been screened | 27.5% | 24.5–30.6 |
| Obesity among adults | 26.6% | 21.4–32.3 |
| Stroke among adults | 2.8% | 2.5–3.0 |
| All teeth lost among adults aged >=65 years | 16.1% | 13.2–19.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.3% | 7.0–9.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 62.0% | 59.6–64.3 |
| Visits to doctor for routine checkup within the past year among adults | 67.0% | 62.7–71.1 |
| Cholesterol screening among adults | 73.4% | 70.5–76.1 |
| Colorectal cancer screening among adults aged 45–75 years | 61.2% | 56.0–66.2 |
| Visited dentist or dental clinic in the past year among adults | 56.2% | 52.4–59.9 |
| Mammography use among women aged 50-74 years | 73.4% | 65.4–80.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.7% | 14.7–21.0 |
| Current cigarette smoking among adults | 11.9% | 10.3–13.7 |
| No leisure-time physical activity among adults | 22.3% | 18.9–26.0 |
| Short sleep duration among adults | 33.6% | 28.0–39.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 22.1% | 19.6–24.8 |
| Frequent mental distress among adults | 23.3% | 20.8–25.7 |
| Frequent physical distress among adults | 13.6% | 12.0–15.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 21.4% | 19.2–23.8 |
| Any disability among adults | 34.8% | 30.8–38.9 |
| Hearing disability among adults | 6.2% | 5.5–6.9 |
| Independent living disability among adults | 12.2% | 10.9–13.6 |
| Mobility disability among adults | 11.8% | 10.4–13.2 |
| Self-care disability among adults | 3.9% | 3.6–4.2 |
| Vision disability among adults | 6.5% | 5.9–7.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.7% | 22.2–29.3 |
| Food insecurity in the past 12 months among adults | 22.3% | 19.3–25.2 |
| Received food stamps in the past 12 months among adults | 23.7% | 20.7–26.6 |
| Housing insecurity in the past 12 months among adults | 15.1% | 13.0–17.2 |
| Lack of reliable transportation in the past 12 months among adults | 14.5% | 12.8–16.1 |
| Loneliness among adults | 39.7% | 34.9–44.8 |
| Utility services shut-off threat in the past 12 months among adults | 9.8% | 8.5–11.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 43.5% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 3.1% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 4.4% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 54.8% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 9.8% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 6.8% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 91.7% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 57.4% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 34.7% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 4.3% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 6.9% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 53.6% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 11.9% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 22.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $60,399 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $949,700 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $2,020 | $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 unavailable for this ZIP — fewer than 80% of the census tracts that make it up could be matched across the 2010→2020 tract-boundary revision, so no value is published rather than an unreliable one. See how coverage gaps are handled. | |||
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