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ZipVitals

ZIP code

93410

in San Luis Obispo, CaliforniaPopulation 7,396

43.45/ 100

Ranked #23,955 of 32,066 US ZIPs (bottom 25%)

Ranked #1,368 of 1,719 California ZIPs (bottom 20%)

Ranked #21 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

13.4%

in the bottom 0.4% nationally

Lower is healthier

ST1st
US1st
Definition & source ›

The estimated share of adults with high cholesterol, among those who have ever been screened for it.

Full methodology ›

Colon-cancer screening

37.7%

in the bottom 0.09% nationally

Higher is healthier

ST1st
US1st
Definition & source ›

The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.

Full methodology ›

Cognitive disability

31.5%

in the top 0.09% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.

Full methodology ›

High blood pressure

13.9%

in the bottom 0.6% nationally

Lower is healthier

ST1st
US1st
Definition & source ›

The estimated share of adults who have been told by a health professional that they have high blood pressure.

Full methodology ›

Households without a vehicle

100%

at the national maximum

Lower is healthier

ST99th
US99th
Definition & source ›

The share of households with no vehicle available.

Full methodology ›

Independent-living disability

16.9%

in the top 1.1% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.

Full methodology ›

Diabetes

2.6%

in the bottom 0.7% nationally

Lower is healthier

ST1st
US1st
Definition & source ›

The estimated share of adults who have been diagnosed with diabetes.

Full methodology ›

Poverty rate

100%

at the national maximum

Lower is healthier

ST99th
US99th
Definition & source ›

The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.

Full methodology ›

Coronary heart disease

1.4%

in the bottom 0.8% nationally

Lower is healthier

ST1st
US1st
Definition & source ›

The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.

Full methodology ›

Slow internet speeds

100%

at the national maximum

Lower is healthier

ST99th
US99th
Definition & source ›

The share of homes whose fastest available download speed is under 10 Mbps.

Full methodology ›

Cross-source signals

Health need and barriers to care documented here

On our reading, this ZIP code carries the overlap at its acute level: acute means at least three of the six health-need readings and at least three of the six access barriers apply to the same place.

These are two separate readings of public data that both apply to this place — never a claim that one causes the other, never a severity score, and never a statement about any person who lives here.

Health need documented here

  • People living in poverty
  • Food insecurity
  • Housing insecurity

Barriers to reaching care

  • Thin local supply of doctors
  • Thin local supply of pharmacies
  • Households with no vehicle
  • Limited home internet for telehealth

A reading appears below only where this ZIP code is among the most-affected 10% of US ZIP codes on it — one national bar, the same for every ZIP in the country.

See the full care-deserts analysis →

The read

ZIP 93410, one of several in San Luis Obispo, California, on the composite measure, lands in the bottom 25% nationally (23,955th) and the bottom 20% of California (1,368th).

continue reading

The readings that carry the most weight locally lead the way: modeled colon screening settles in the bottom 0.09% nationally, modeled cognitive disability stands in the top 0.09% nationally, and households without a vehicle is at the national maximum. Modeled independent living disability rests in the top 1.1% nationally, poverty sits at the national maximum, and slow internet speeds registers at the national maximum. Modeled loneliness lands in the top 0.3% nationally, and homeownership resides at the national minimum. On the encouraging side, modeled high cholesterol lies in the bottom 0.4% nationally, and high blood pressure settles in the bottom 0.6% nationally.

Set against the neighboring ZIPs, households without a vehicle runs far higher than the surrounding ZIPs on this measure. A healthier neighbor overall sits at ZIP 93405, just across the boundary. Across the board, the area also shows documented health need overlapping with barriers to reaching care, sitting in the most-affected 10% of US ZIP codes on several need measures and several access barriers.

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 99%

21%

Environmental Hazard

healthier than 74%

14%

Climate / Disaster Risk

healthier than 96%

5%

Healthcare Access

healthier than 74%

5%

About typical

Risk Behavior

healthier than 43%

11%

Holding it back

Social Need / SDOH

healthier than 1%

16%

Preventive Care

in the bottom 0.4%

13%

Mental Health

in the bottom 0.4%

8%

Disability

healthier than 30%

7%

Lifting this score

Chronic Disease Burden

healthier than 97%

21%

Environmental Hazard

healthier than 85%

14%

Climate / Disaster Risk

healthier than 93%

5%

About typical

Healthcare Access

healthier than 51%

5%

Holding it back

Social Need / SDOH

healthier than 1%

16%

Preventive Care

healthier than 2%

13%

Risk Behavior

healthier than 22%

11%

Mental Health

in the bottom 0.00%

8%

Disability

healthier than 29%

7%

Lifting this score

Chronic Disease Burden

in the top 0.00%

21%

Environmental Hazard

healthier than 60%

14%

Climate / Disaster Risk

in the top 0.00%

5%

Healthcare Access

healthier than 60%

5%

Holding it back

Social Need / SDOH

in the bottom 0.00%

16%

Preventive Care

in the bottom 0.00%

13%

Risk Behavior

in the bottom 0.00%

11%

Mental Health

in the bottom 0.00%

8%

Disability

in the bottom 0.00%

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 adults5.5%4.6–6.5
High blood pressure among adults13.9%11.8–16.4
Cancer (non-skin) or melanoma among adults0.8%0.7–0.9
Current asthma among adults12.3%10.9–13.9
Coronary heart disease among adults1.4%1.2–1.6
Chronic obstructive pulmonary disease among adults3.6%3.1–4.2
Depression among adults33.7%29.7–38.0
Diagnosed diabetes among adults2.6%2.2–3.0
High cholesterol among adults who have ever been screened13.4%11.3–15.8
Obesity among adults24.7%19.9–30.3
Stroke among adults0.9%0.8–1.0
All teeth lost among adults aged >=65 years26.8%21.7–32.4
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years10.1%8.4–12.2
Taking medicine to control high blood pressure among adults with high blood pressure19.3%16.3–22.6
Visits to doctor for routine checkup within the past year among adults59.3%54.4–64.2
Cholesterol screening among adults55.0%50.8–59.1
Colorectal cancer screening among adults aged 45–75 years37.7%32.4–43.0
Visited dentist or dental clinic in the past year among adults46.5%42.6–50.6
Mammography use among women aged 50-74 years62.8%53.6–71.5
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults19.7%16.4–23.2
Current cigarette smoking among adults12.0%9.9–14.2
No leisure-time physical activity among adults23.7%19.8–28.1
Short sleep duration among adults36.6%30.5–43.2
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults24.3%21.3–27.5
Frequent mental distress among adults32.3%29.1–35.6
Frequent physical distress among adults12.5%11.0–14.3
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults31.5%28.1–34.7
Any disability among adults40.1%35.4–45.0
Hearing disability among adults3.4%3.0–3.9
Independent living disability among adults16.9%14.8–18.9
Mobility disability among adults6.0%5.1–7.1
Self-care disability among adults2.9%2.6–3.3
Vision disability among adults7.9%7.0–8.9
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults29.9%25.9–34.1
Food insecurity in the past 12 months among adults35.7%30.4–40.4
Received food stamps in the past 12 months among adults37.4%31.6–42.0
Housing insecurity in the past 12 months among adults21.2%17.8–24.3
Lack of reliable transportation in the past 12 months among adults24.3%21.1–27.3
Loneliness among adults48.7%43.3–54.2
Utility services shut-off threat in the past 12 months among adults14.2%12.0–16.5
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)CA median (p10–p90)
Poverty rate100.0%10.6% (3.1–25.8%) n=32,36410.6% (4.1–24.9%) n=1,714
Uninsured 18–642.1%9.0% (1.5–24.3%) n=32,2867.7% (1.7–17.9%) n=1,704
No HS diploma (25+)0.0%7.9% (1.8–20.7%) n=32,5059.8% (1.4–30.9%) n=1,729
Bachelor's or higher (25+)28.9%23.3% (9.2–53.6%) n=32,50531.3% (9.9–68.2%) n=1,729
Unemployment rate (16+)16.0%3.9% (0.0–9.8%) n=32,2746.1% (0.8–12.0%) n=1,714
Households without a vehicle100.0%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)0.0%23.7% (10.6–40.0%) n=32,32238.6% (24.4–50.5%) n=1,708
Homeownership rate0.0%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 population4.3%2.6% (0.0–18.6%) n=32,55318.9% (3.0–40.4%) n=1,730
Single-parent households53.6% (37.3–74.1%) n=32,08748.4% (35.1–72.3%) n=1,692
Population 65+0.0%19.4% (10.8–33.6%) n=32,55317.0% (9.7–35.7%) n=1,730
Median age19.2 yr42.2 yr (33.0–56.3) n=32,29240.1 yr (31.8–57.0) n=1,712
Median household income$72,070 ($46,039–$118,707) n=30,318$93,448 ($54,188–$159,562) n=1,584
Median home value$222,200 ($100,300–$579,820) n=30,049$659,800 ($300,520–$1,493,340) n=1,593
Median gross rent$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