ZIP code
95131
in San Jose, CaliforniaPopulation 31,179
67.91/ 100
Ranked #1,038 of 32,066 US ZIPs (top 3.3%)
Ranked #152 of 1,719 California ZIPs (top 8.9%)
Ranked #26 of 61 San Jose-Sunnyvale-Santa Clara, CA ZIPs (top 43%)
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.
Obesity
18.4%
in the bottom 0.5% nationally
Lower is healthier
ST3rdUS1stDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Median household income
$170,255
in the top 2.3% nationally
Higher is healthier
ST92ndUS98thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Outer-floodplain exposure
23%
in the top 1.8% nationally
Lower is healthier
ST94thUS98thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 0.2%-annual-chance flood band — the “500-year” zone, a lower but real 1-in-500 yearly chance.
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 ›Loud transportation noise
3.4%
in the top 3.0% nationally
Lower is healthier
ST80thUS97thDefinition & 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 ›Expected annual disaster loss
$0
in the top 3.0% nationally
Lower is healthier
ST83rdUS97thDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›Lithium in drinking water
9.5 µg/L
in the bottom 3.1% nationally
Lower is healthier
ST3rdUS3rdDefinition & source ›
The average detected level of lithium — a natural trace metal with no federal drinking-water limit yet — across the public water systems serving this ZIP, in micrograms per liter.
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 ›Hearing disability
4.0%
in the bottom 2.1% nationally
Lower is healthier
ST4thUS2ndDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Coronary heart disease
3.7%
in the bottom 2.5% nationally
Lower is healthier
ST4thUS2ndDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›High blood pressure
25.4%
in the bottom 3.1% nationally
Lower is healthier
ST7thUS3rdDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Binge drinking
11.0%
in the bottom 3.1% nationally
Lower is healthier
ST2ndUS3rdDefinition & 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 ›The read
On the composite measure, ZIP 95131, one of several in San Jose, California stands in the top 3.3% healthiest ZIPs nationally (1,038th) and the top 8.9% of California (152nd).
Several signals sit on each side of the ledger here: modeled obesity lies in the bottom 0.5% nationally, and household income is in the top 2.3% nationally. Lithium in drinking water registers in the bottom 3.1% nationally, and modeled hearing disability lies in the bottom 2.1% nationally. Modeled coronary heart disease is in the bottom 2.5% nationally, high blood pressure registers in the bottom 3.1% nationally, and binge drinking lies in the bottom 3.1% nationally. Working the other way, outer-floodplain exposure is in the top 1.8% nationally, modeled loud transportation noise registers in the top 3.0% nationally, and modeled expected annual loss lies in the top 3.0% nationally.
Set beside the wider area around it, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. For clarity, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Lithium in drinking water is a natural metal that dissolves into some groundwater and has no federal drinking-water limit yet. Outer-floodplain exposure is land with a lower but real 1-in-500 chance of flooding each year, nicknamed the "500-year floodplain". ZIP 95035, just across the boundary, ranks better overall among the ZIPs nearby.
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 98%
21%
Social Need / SDOH
healthier than 84%
16%
Risk Behavior
healthier than 96%
11%
Mental Health
healthier than 98%
8%
Disability
healthier than 97%
7%
Healthcare Access
healthier than 81%
5%
About typical
Climate / Disaster Risk
healthier than 46%
5%
Holding it back
Environmental Hazard
healthier than 1%
14%
Preventive Care
healthier than 24%
13%
Lifting this score
Chronic Disease Burden
healthier than 97%
21%
Social Need / SDOH
healthier than 79%
16%
Risk Behavior
healthier than 92%
11%
Mental Health
healthier than 98%
8%
Disability
healthier than 96%
7%
Healthcare Access
healthier than 62%
5%
About typical
Preventive Care
healthier than 46%
13%
Holding it back
Environmental Hazard
healthier than 8%
14%
Climate / Disaster Risk
healthier than 36%
5%
Lifting this score
Chronic Disease Burden
healthier than 82%
21%
Risk Behavior
healthier than 60%
11%
Mental Health
healthier than 85%
8%
Disability
healthier than 68%
7%
About typical
Healthcare Access
healthier than 53%
5%
Holding it back
Social Need / SDOH
healthier than 37%
16%
Environmental Hazard
healthier than 13%
14%
Preventive Care
healthier than 37%
13%
Climate / Disaster Risk
healthier than 20%
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.
Above what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 84.9 ± 2.2 years. A median household income of $170,255 predicts 82.2 years — 2.7 years above.
Ranked #551 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 1.5 (bottom 10%); chronic-disease standing 98.4 (top 10%) — 97 points apart, heavier on the environment than it is on chronic illness.
Ranked #18,158 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
95035
Californiashares a border
Score 70.15
Closest healthier
95054
Californiashares a border
Score 70.81
Similar health profile
91709
California100% similar profile
Score 63.31
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 | 13.7% | 12.1–15.5 |
| High blood pressure among adults | 25.4% | 22.8–28.2 |
| Cancer (non-skin) or melanoma among adults | 3.9% | 3.5–4.3 |
| Current asthma among adults | 7.1% | 6.3–8.0 |
| Coronary heart disease among adults | 3.7% | 3.3–4.2 |
| Chronic obstructive pulmonary disease among adults | 2.9% | 2.6–3.3 |
| Depression among adults | 15.1% | 13.1–17.3 |
| Diagnosed diabetes among adults | 10.9% | 9.6–12.4 |
| High cholesterol among adults who have ever been screened | 34.3% | 31.1–37.5 |
| Obesity among adults | 18.4% | 15.4–21.7 |
| Stroke among adults | 2.2% | 2.0–2.4 |
| All teeth lost among adults aged >=65 years | 7.0% | 5.6–8.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.2% | 5.2–7.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 69.8% | 66.6–73.0 |
| Visits to doctor for routine checkup within the past year among adults | 70.7% | 67.3–74.1 |
| Cholesterol screening among adults | 85.9% | 84.1–87.5 |
| Colorectal cancer screening among adults aged 45–75 years | 58.7% | 54.3–63.0 |
| Visited dentist or dental clinic in the past year among adults | 65.5% | 62.6–68.3 |
| Mammography use among women aged 50-74 years | 77.2% | 70.8–82.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 11.0% | 9.2–12.9 |
| Current cigarette smoking among adults | 8.1% | 6.9–9.6 |
| No leisure-time physical activity among adults | 23.3% | 20.3–26.9 |
| Short sleep duration among adults | 32.8% | 29.1–36.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 15.6% | 13.7–17.8 |
| Frequent mental distress among adults | 12.9% | 11.5–14.5 |
| Frequent physical distress among adults | 9.2% | 8.1–10.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 9.8% | 8.6–11.1 |
| Any disability among adults | 21.5% | 18.8–24.4 |
| Hearing disability among adults | 4.0% | 3.6–4.6 |
| Independent living disability among adults | 4.9% | 4.4–5.6 |
| Mobility disability among adults | 8.8% | 7.6–10.1 |
| Self-care disability among adults | 2.2% | 2.0–2.5 |
| 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 | 32.1% | 28.6–35.7 |
| Food insecurity in the past 12 months among adults | 12.8% | 10.9–15.0 |
| Received food stamps in the past 12 months among adults | 8.7% | 7.4–10.2 |
| Housing insecurity in the past 12 months among adults | 9.7% | 8.3–11.2 |
| Lack of reliable transportation in the past 12 months among adults | 6.5% | 5.7–7.3 |
| Loneliness among adults | 40.0% | 35.9–44.2 |
| Utility services shut-off threat in the past 12 months among adults | 4.4% | 3.8–5.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 8.0% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 5.1% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 11.2% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 55.2% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 6.1% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 2.5% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 98.1% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 28.3% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 61.8% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 7.2% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 55.6% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 47.9% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 15.2% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 37.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $170,255 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $1,164,800 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $3,269 | $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 | 84.9 yr ± 1.12 | 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 1.12 years of 84.9, 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