ZIP code
95139
in San Jose, CaliforniaPopulation 7,035
66.04/ 100
Ranked #1,601 of 32,066 US ZIPs (top 5.0%)
Ranked #233 of 1,719 California ZIPs (top 13.6%)
Ranked #32 of 61 San Jose-Sunnyvale-Santa Clara, CA ZIPs (bottom 48%)
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.
Median household income
$178,790
in the top 1.8% nationally
Higher is healthier
ST93rdUS98thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Obesity
24.6%
in the bottom 5.0% nationally
Lower is healthier
ST25thUS5thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Distance to a Superfund site
0.2 mi
in the bottom 4.3% nationally
Higher is healthier
ST6thUS4thDefinition & 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 ›Tree cover
0.00%
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Energy-cost burden
1.2%
in the bottom 1.9% nationally
Lower is healthier
ST10thUS2ndDefinition & 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 ›Loud transportation noise
2.5%
in the top 5.1% nationally
Lower is healthier
ST70thUS95thDefinition & 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 ›PFOS in drinking water
96.2%
in the top 6.1% nationally
Lower is healthier
ST91stUS94thDefinition & source ›
The share of residents served by public water systems where PFOS, one of the most common “forever chemicals,” was detected in EPA testing.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›Dental provider access
1 per 1,000 residents
in the top 6.3% nationally
Higher is healthier
ST85thUS94thDefinition & source ›
The number of dental offices located inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Floodplain exposure
0.01%
in the bottom 6.8% nationally
Lower is healthier
ST15thUS7thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›Tooth loss
5.1%
in the bottom 2.4% nationally
Lower is healthier
ST9thUS2ndDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›The read
ZIP 95139, one of several in San Jose, California, on the composite measure, lands in the top 5.0% healthiest ZIPs nationally (1,601st) and the top 13.6% of California (233rd).
The readings split fairly evenly between strengths and concerns: household income resides in the top 1.8% nationally, modeled obesity lies in the bottom 5.0% nationally, and modeled energy burden settles in the bottom 1.9% nationally. Dental providers stands in the top 6.3% nationally, floodplain exposure is in the bottom 6.8% nationally, and modeled tooth loss rests in the bottom 2.4% nationally. Working the other way, distance to a Superfund site sits in the bottom 4.3% nationally, and modeled tree cover registers at the national minimum. Modeled loud transportation noise lands in the top 5.1% nationally, and PFOS in drinking water resides in the top 6.1% nationally.
Set against the neighboring ZIPs, park land runs far lower than the surrounding ZIPs on this measure. In everyday language, distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. PFOS in drinking water is a common one of the man-made "forever chemicals" that build up in the body and environment instead of breaking down. Energy burden is the share of household income that goes to home energy bills. A healthier neighbor overall sits at ZIP 95119, 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 Jose-Sunnyvale-Santa Clara, 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 96%
21%
Social Need / SDOH
healthier than 91%
16%
Risk Behavior
healthier than 93%
11%
Mental Health
healthier than 83%
8%
Disability
healthier than 91%
7%
Climate / Disaster Risk
healthier than 69%
5%
About typical
Preventive Care
healthier than 42%
13%
Healthcare Access
healthier than 56%
5%
Holding it back
Environmental Hazard
healthier than 29%
14%
Lifting this score
Chronic Disease Burden
healthier than 88%
21%
Social Need / SDOH
healthier than 87%
16%
Environmental Hazard
healthier than 61%
14%
Preventive Care
healthier than 63%
13%
Risk Behavior
healthier than 86%
11%
Mental Health
healthier than 82%
8%
Disability
healthier than 88%
7%
About typical
Climate / Disaster Risk
healthier than 50%
5%
Holding it back
Healthcare Access
healthier than 35%
5%
Lifting this score
Environmental Hazard
healthier than 77%
14%
Preventive Care
healthier than 65%
13%
About typical
Chronic Disease Burden
healthier than 40%
21%
Social Need / SDOH
healthier than 57%
16%
Risk Behavior
healthier than 43%
11%
Mental Health
healthier than 45%
8%
Disability
healthier than 45%
7%
Climate / Disaster Risk
healthier than 52%
5%
Holding it back
Healthcare Access
healthier than 12%
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
2 of our published findings list 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.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 29.3; chronic-disease standing 95.7 (top 10%) — 66 points apart, heavier on the environment than it is on chronic illness.
Ranked #16,063 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Highest-risk tenth
Air toxics and the years between the two ends of the risk scale
Modeled air-toxics cancer risk is 38.0 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 82.8 ± 3.2 years.
Ranked #1,747 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.
Nearby
95013
Californiashares a border
Score 45.75
Closest healthier
95119
Californiashares a border
Score 69.70
Similar health profile
94040
California100% similar profile
Score 72.63
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 | 18.7% | 16.5–21.0 |
| High blood pressure among adults | 27.8% | 25.0–30.8 |
| Cancer (non-skin) or melanoma among adults | 6.7% | 6.0–7.4 |
| Current asthma among adults | 8.9% | 7.9–10.0 |
| Coronary heart disease among adults | 4.6% | 4.1–5.2 |
| Chronic obstructive pulmonary disease among adults | 3.9% | 3.3–4.5 |
| Depression among adults | 20.1% | 17.5–22.9 |
| Diagnosed diabetes among adults | 10.2% | 8.9–11.6 |
| High cholesterol among adults who have ever been screened | 34.5% | 31.3–37.9 |
| Obesity among adults | 24.6% | 20.7–28.7 |
| Stroke among adults | 2.5% | 2.3–2.8 |
| All teeth lost among adults aged >=65 years | 5.1% | 4.1–6.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.7% | 5.4–8.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 70.6% | 67.1–73.9 |
| Visits to doctor for routine checkup within the past year among adults | 71.8% | 68.4–74.9 |
| Cholesterol screening among adults | 88.1% | 86.4–89.5 |
| Colorectal cancer screening among adults aged 45–75 years | 62.7% | 58.6–66.7 |
| Visited dentist or dental clinic in the past year among adults | 69.3% | 66.5–71.9 |
| Mammography use among women aged 50-74 years | 79.3% | 73.3–84.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.3% | 12.1–16.7 |
| Current cigarette smoking among adults | 8.9% | 7.4–10.6 |
| No leisure-time physical activity among adults | 20.8% | 17.8–24.0 |
| Short sleep duration among adults | 31.8% | 28.1–35.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.1% | 14.0–18.5 |
| Frequent mental distress among adults | 14.7% | 13.0–16.5 |
| Frequent physical distress among adults | 10.9% | 9.5–12.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.2% | 9.8–12.8 |
| Any disability among adults | 24.5% | 21.5–27.7 |
| Hearing disability among adults | 5.0% | 4.4–5.6 |
| Independent living disability among adults | 5.7% | 5.0–6.5 |
| Mobility disability among adults | 10.3% | 8.9–11.9 |
| Self-care disability among adults | 2.7% | 2.4–3.0 |
| Vision disability among adults | 3.7% | 3.3–4.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 26.9% | 23.7–30.3 |
| Food insecurity in the past 12 months among adults | 10.5% | 8.8–12.5 |
| Received food stamps in the past 12 months among adults | 8.0% | 6.6–9.6 |
| Housing insecurity in the past 12 months among adults | 10.0% | 8.5–11.7 |
| Lack of reliable transportation in the past 12 months among adults | 6.2% | 5.3–7.1 |
| Loneliness among adults | 37.4% | 33.4–41.6 |
| Utility services shut-off threat in the past 12 months among adults | 4.8% | 4.1–5.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 2.3% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 2.5% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 7.0% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 49.7% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 5.6% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 3.6% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 97.0% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 29.4% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 76.5% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 3.7% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 25.4% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 40.6% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 15.8% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 39.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $178,790 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $1,169,300 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $3,452 | $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 | 82.8 yr ± 1.63 | 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 1.63 years of 82.8, 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