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ZipVitals

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.

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.

High cholesterol

27.5%

in the bottom 1.9% nationally

Lower is healthier

ST2nd
US2nd
Definition & 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

ST97th
US99th
Definition & 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

ST98th
US98th
Definition & 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

ST12th
US4th
Definition & 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

ST93rd
US95th
Definition & 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

ST8th
US3rd
Definition & 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

ST73rd
US96th
Definition & 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

ST82nd
US95th
Definition & source ›

The estimated share of adults who report feeling lonely.

Full methodology ›

Obesity

26.6%

in the bottom 8.4% nationally

Lower is healthier

ST36th
US8th
Definition & 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

ST88th
US93rd
Definition & 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).

continue reading

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.

Compare within

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.

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 adults17.7%15.7–19.7
High blood pressure among adults25.8%22.9–28.7
Cancer (non-skin) or melanoma among adults5.7%5.2–6.2
Current asthma among adults11.2%9.9–12.6
Coronary heart disease among adults5.2%4.6–5.7
Chronic obstructive pulmonary disease among adults6.0%5.3–6.6
Depression among adults28.1%24.5–31.9
Diagnosed diabetes among adults7.9%6.9–9.0
High cholesterol among adults who have ever been screened27.5%24.5–30.6
Obesity among adults26.6%21.4–32.3
Stroke among adults2.8%2.5–3.0
All teeth lost among adults aged >=65 years16.1%13.2–19.4
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years8.3%7.0–9.7
Taking medicine to control high blood pressure among adults with high blood pressure62.0%59.6–64.3
Visits to doctor for routine checkup within the past year among adults67.0%62.7–71.1
Cholesterol screening among adults73.4%70.5–76.1
Colorectal cancer screening among adults aged 45–75 years61.2%56.0–66.2
Visited dentist or dental clinic in the past year among adults56.2%52.4–59.9
Mammography use among women aged 50-74 years73.4%65.4–80.3
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults17.7%14.7–21.0
Current cigarette smoking among adults11.9%10.3–13.7
No leisure-time physical activity among adults22.3%18.9–26.0
Short sleep duration among adults33.6%28.0–39.7
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults22.1%19.6–24.8
Frequent mental distress among adults23.3%20.8–25.7
Frequent physical distress among adults13.6%12.0–15.2
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults21.4%19.2–23.8
Any disability among adults34.8%30.8–38.9
Hearing disability among adults6.2%5.5–6.9
Independent living disability among adults12.2%10.9–13.6
Mobility disability among adults11.8%10.4–13.2
Self-care disability among adults3.9%3.6–4.2
Vision disability among adults6.5%5.9–7.2
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults25.7%22.2–29.3
Food insecurity in the past 12 months among adults22.3%19.3–25.2
Received food stamps in the past 12 months among adults23.7%20.7–26.6
Housing insecurity in the past 12 months among adults15.1%13.0–17.2
Lack of reliable transportation in the past 12 months among adults14.5%12.8–16.1
Loneliness among adults39.7%34.9–44.8
Utility services shut-off threat in the past 12 months among adults9.8%8.5–11.2
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)CA median (p10–p90)
Poverty rate43.5%10.6% (3.1–25.8%) n=32,36410.6% (4.1–24.9%) n=1,714
Uninsured 18–643.1%9.0% (1.5–24.3%) n=32,2867.7% (1.7–17.9%) n=1,704
No HS diploma (25+)4.4%7.9% (1.8–20.7%) n=32,5059.8% (1.4–30.9%) n=1,729
Bachelor's or higher (25+)54.8%23.3% (9.2–53.6%) n=32,50531.3% (9.9–68.2%) n=1,729
Unemployment rate (16+)9.8%3.9% (0.0–9.8%) n=32,2746.1% (0.8–12.0%) n=1,714
Households without a vehicle6.8%3.9% (0.0–12.5%) n=32,3224.5% (0.0–12.2%) n=1,708
Broadband subscription91.7%89.3% (75.1–97.1%) n=32,32293.4% (82.1–98.4%) n=1,708
Housing cost burden (≥30% income)57.4%23.7% (10.6–40.0%) n=32,32238.6% (24.4–50.5%) n=1,708
Homeownership rate34.7%78.7% (51.7–94.0%) n=32,32264.1% (31.9–86.4%) n=1,708
Crowded housing (>1 per room)4.3%1.3% (0.0–6.3%) n=32,3224.8% (0.0–15.9%) n=1,708
Foreign-born population6.9%2.6% (0.0–18.6%) n=32,55318.9% (3.0–40.4%) n=1,730
Single-parent households53.6%53.6% (37.3–74.1%) n=32,08748.4% (35.1–72.3%) n=1,692
Population 65+11.9%19.4% (10.8–33.6%) n=32,55317.0% (9.7–35.7%) n=1,730
Median age22.6 yr42.2 yr (33.0–56.3) n=32,29240.1 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
MeasureValueUS 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 ▾

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