Skip to main content
ZipVitals

ZIP code

95135

in San Jose, CaliforniaPopulation 20,129

74.81/ 100

Ranked #50 of 32,066 US ZIPs (top 0.2%)

Ranked #11 of 1,719 California ZIPs (top 0.7%)

Ranked #6 of 61 San Jose-Sunnyvale-Santa Clara, CA ZIPs (top 9.9%)

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.

Median household income

$190,750

in the top 1.3% nationally

Higher is healthier

ST95th
US99th
Definition & source ›

The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.

Full methodology ›

Obesity

17.9%

in the bottom 0.4% nationally

Lower is healthier

ST2nd
US1st
Definition & source ›

The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.

Full methodology ›

Utility shut-off threat

2.7%

in the bottom 0.2% nationally

Lower is healthier

ST1st
US1st
Definition & source ›

The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.

Full methodology ›

Binge drinking

9.2%

in the bottom 0.6% nationally

Lower is healthier

ST1st
US1st
Definition & source ›

The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.

Full methodology ›

Cognitive disability

7.5%

in the bottom 0.3% nationally

Lower is healthier

ST1st
US1st
Definition & source ›

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

Full methodology ›

Housing insecurity

5.7%

in the bottom 1.9% nationally

Lower is healthier

ST3rd
US2nd
Definition & source ›

The estimated share of adults who experienced housing insecurity in the past 12 months.

Full methodology ›

Lack of transportation

4.1%

in the bottom 1.9% nationally

Lower is healthier

ST3rd
US2nd
Definition & source ›

The estimated share of adults who lacked reliable transportation in the past 12 months.

Full methodology ›

Park land

33.7%

in the top 4.2% nationally

Higher is healthier

ST87th
US96th
Definition & source ›

The share of this ZIP’s land area that is public parkland.

Full methodology ›

Energy-cost burden

1.1%

in the bottom 1.3% nationally

Lower is healthier

ST6th
US1st
Definition & source ›

The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.

A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.

Full methodology ›

Food insecurity

7.2%

in the bottom 4.3% nationally

Lower is healthier

ST6th
US4th
Definition & source ›

The estimated share of adults who experienced food insecurity in the past 12 months.

Full methodology ›

The read

ZIP 95135, one of several in San Jose, California, on the composite measure, lands in the top 0.2% healthiest ZIPs nationally (50th) and the top 0.7% of California (11th).

continue reading

Where the data leans one way, another reading answers it: household income resides in the top 1.3% nationally, modeled obesity lies in the bottom 0.4% nationally, and modeled utility shutoff settles in the bottom 0.2% nationally. Modeled binge drinking stands in the bottom 0.6% nationally, cognitive disability is in the bottom 0.3% nationally, and housing insecurity rests in the bottom 1.9% nationally. Modeled transportation sits in the bottom 1.9% nationally, and park land registers in the top 4.2% nationally. Modeled energy burden lands in the bottom 1.3% nationally, and food insecurity resides in the bottom 4.3% nationally.

Set against the neighboring ZIPs, park land runs far higher than the surrounding ZIPs on this measure. In everyday language, energy burden is the share of household income that goes to home energy bills. A healthier neighbor overall sits at ZIP 95070, about 10 miles away.

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 Jose-Sunnyvale-Santa Clara, 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 94%

21%

Social Need / SDOH

healthier than 95%

16%

Preventive Care

healthier than 86%

13%

Risk Behavior

in the top 0.2%

11%

Mental Health

in the top 0.3%

8%

Disability

healthier than 96%

7%

Climate / Disaster Risk

healthier than 75%

5%

Healthcare Access

healthier than 70%

5%

About typical

Environmental Hazard

healthier than 53%

14%

Nothing measured is holding this score back.

Lifting this score

Chronic Disease Burden

healthier than 82%

21%

Social Need / SDOH

healthier than 93%

16%

Environmental Hazard

healthier than 75%

14%

Preventive Care

healthier than 94%

13%

Risk Behavior

in the top 0.5%

11%

Mental Health

in the top 0.2%

8%

Disability

healthier than 95%

7%

About typical

Climate / Disaster Risk

healthier than 55%

5%

Healthcare Access

healthier than 47%

5%

Nothing measured is holding this score back.

Lifting this score

Social Need / SDOH

healthier than 73%

16%

Environmental Hazard

healthier than 95%

14%

Preventive Care

healthier than 92%

13%

Risk Behavior

healthier than 95%

11%

Mental Health

in the top 0.00%

8%

Disability

healthier than 62%

7%

Climate / Disaster Risk

healthier than 62%

5%

Holding it back

Chronic Disease Burden

healthier than 25%

21%

Healthcare Access

healthier than 28%

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 ›

Findings that name this ZIP

One of our published findings lists this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.

  • Highest-risk tenth

    Air toxics and the years between the two ends of the risk scale

    Modeled air-toxics cancer risk is 39.6 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 83.3 ± 2.0 years.

    Ranked #1,521 of the 4,173 ZIP codes this finding names, ordered by modeled air-toxics risk, highest first.

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 adults20.7%18.3–23.0
High blood pressure among adults31.6%28.5–34.7
Cancer (non-skin) or melanoma among adults8.4%7.6–9.2
Current asthma among adults7.2%6.3–8.1
Coronary heart disease among adults5.5%4.9–6.2
Chronic obstructive pulmonary disease among adults3.6%3.0–4.2
Depression among adults14.3%12.3–16.4
Diagnosed diabetes among adults11.9%10.4–13.5
High cholesterol among adults who have ever been screened39.6%36.1–43.1
Obesity among adults17.9%14.8–21.1
Stroke among adults2.9%2.6–3.2
All teeth lost among adults aged >=65 years5.6%4.5–6.9
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years3.7%3.0–4.5
Taking medicine to control high blood pressure among adults with high blood pressure78.3%75.2–81.2
Visits to doctor for routine checkup within the past year among adults77.5%74.6–80.2
Cholesterol screening among adults91.5%90.2–92.5
Colorectal cancer screening among adults aged 45–75 years62.7%58.7–66.5
Visited dentist or dental clinic in the past year among adults73.9%71.3–76.4
Mammography use among women aged 50-74 years80.5%74.7–85.5
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults9.2%7.7–10.8
Current cigarette smoking among adults5.7%4.7–6.9
No leisure-time physical activity among adults20.5%17.4–23.7
Short sleep duration among adults28.6%25.1–32.2
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults13.8%11.9–15.8
Frequent mental distress among adults10.3%9.0–11.7
Frequent physical distress among adults9.4%8.2–10.7
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults7.5%6.5–8.7
Any disability among adults22.7%19.8–25.6
Hearing disability among adults6.1%5.3–6.9
Independent living disability among adults4.6%4.0–5.3
Mobility disability among adults10.7%9.1–12.3
Self-care disability among adults2.2%2.0–2.5
Vision disability among adults3.3%2.9–3.7
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults26.6%23.3–29.9
Food insecurity in the past 12 months among adults7.2%6.0–8.7
Received food stamps in the past 12 months among adults4.5%3.7–5.5
Housing insecurity in the past 12 months among adults5.7%4.8–6.8
Lack of reliable transportation in the past 12 months among adults4.1%3.6–4.8
Loneliness among adults35.5%31.5–39.4
Utility services shut-off threat in the past 12 months among adults2.7%2.3–3.1
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)CA median (p10–p90)
Poverty rate4.5%10.6% (3.1–25.8%) n=32,36410.6% (4.1–24.9%) n=1,714
Uninsured 18–641.5%9.0% (1.5–24.3%) n=32,2867.7% (1.7–17.9%) n=1,704
No HS diploma (25+)5.4%7.9% (1.8–20.7%) n=32,5059.8% (1.4–30.9%) n=1,729
Bachelor's or higher (25+)64.3%23.3% (9.2–53.6%) n=32,50531.3% (9.9–68.2%) n=1,729
Unemployment rate (16+)4.0%3.9% (0.0–9.8%) n=32,2746.1% (0.8–12.0%) n=1,714
Households without a vehicle4.7%3.9% (0.0–12.5%) n=32,3224.5% (0.0–12.2%) n=1,708
Broadband subscription94.8%89.3% (75.1–97.1%) n=32,32293.4% (82.1–98.4%) n=1,708
Housing cost burden (≥30% income)39.9%23.7% (10.6–40.0%) n=32,32238.6% (24.4–50.5%) n=1,708
Homeownership rate85.9%78.7% (51.7–94.0%) n=32,32264.1% (31.9–86.4%) n=1,708
Crowded housing (>1 per room)1.5%1.3% (0.0–6.3%) n=32,3224.8% (0.0–15.9%) n=1,708
Foreign-born population44.3%2.6% (0.0–18.6%) n=32,55318.9% (3.0–40.4%) n=1,730
Single-parent households58.8%53.6% (37.3–74.1%) n=32,08748.4% (35.1–72.3%) n=1,692
Population 65+31.8%19.4% (10.8–33.6%) n=32,55317.0% (9.7–35.7%) n=1,730
Median age53.1 yr42.2 yr (33.0–56.3) n=32,29240.1 yr (31.8–57.0) n=1,712
Median household income$190,750$72,070 ($46,039–$118,707) n=30,318$93,448 ($54,188–$159,562) n=1,584
Median home value$1,547,400$222,200 ($100,300–$579,820) n=30,049$659,800 ($300,520–$1,493,340) n=1,593
Median gross rent$3,501$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 at birth83.3 yr ± 1.0278.9 yr (74.7–82.8) n=31,30880.5 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 1.02 years of 83.3, and it’s very unlikely to be off by more than twice that.

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