ZIP code
94040
in Mountain View, CaliforniaPopulation 35,632
72.63/ 100
Ranked #209 of 32,066 US ZIPs (top 0.7%)
Ranked #29 of 1,719 California ZIPs (top 1.7%)
Ranked #12 of 61 San Jose-Sunnyvale-Santa Clara, CA ZIPs (top 20%)
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
$187,781
in the top 1.4% nationally
Higher is healthier
ST94thUS99thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Obesity
20.9%
in the bottom 1.3% nationally
Lower is healthier
ST9thUS1stDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Loud transportation noise
5.2%
in the top 1.3% nationally
Lower is healthier
ST92ndUS99thDefinition & 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 ›High blood pressure
23.1%
in the bottom 2.0% nationally
Lower is healthier
ST3rdUS2ndDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Lithium in drinking water
9.3 µg/L
in the bottom 2.2% nationally
Lower is healthier
ST2ndUS2ndDefinition & 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 ›Coronary heart disease
3.4%
in the bottom 2.0% nationally
Lower is healthier
ST3rdUS2ndDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Energy-cost burden
0.75%
in the bottom 0.4% nationally
Lower is healthier
ST1stUS1stDefinition & 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 ›Dental provider access
1.5 per 1,000 residents
in the top 2.5% nationally
Higher is healthier
ST94thUS98thDefinition & 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 ›Stroke
1.8%
in the bottom 1.7% nationally
Lower is healthier
ST3rdUS2ndDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Utility shut-off threat
3.8%
in the bottom 2.8% nationally
Lower is healthier
ST8thUS3rdDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›The read
Judged by its overall standing, ZIP 94040, one of several in Mountain View, California sits in the top 0.7% healthiest ZIPs nationally (209th) and the top 1.7% of California (29th).
An even profile, with readings pulling both ways: household income sits in the top 1.4% nationally, modeled obesity stands in the bottom 1.3% nationally, and modeled high blood pressure resides in the bottom 2.0% nationally. Lithium in drinking water sits in the bottom 2.2% nationally, modeled coronary heart disease stands in the bottom 2.0% nationally, and modeled energy burden resides in the bottom 0.4% nationally. Dental providers sits in the top 2.5% nationally, and modeled stroke stands in the bottom 1.7% nationally. Modeled utility shutoff resides in the bottom 2.8% nationally. Against that, modeled loud transportation noise sits in the top 1.3% nationally.
Placed beside its immediate neighbors, outer-floodplain exposure runs far lower than the surrounding ZIPs on this measure. Put plainly, lithium in drinking water is a natural metal that dissolves into some groundwater and has no federal drinking-water limit yet. 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. Energy burden is the share of household income that goes to home energy bills. A healthier nearby ZIP overall is ZIP 94022, 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 99%
21%
Social Need / SDOH
healthier than 98%
16%
Risk Behavior
healthier than 98%
11%
Mental Health
healthier than 92%
8%
Disability
in the top 1.0%
7%
Climate / Disaster Risk
healthier than 66%
5%
Healthcare Access
in the top 0.00%
5%
Holding it back
Environmental Hazard
healthier than 25%
14%
Preventive Care
healthier than 37%
13%
Lifting this score
Chronic Disease Burden
healthier than 97%
21%
Social Need / SDOH
healthier than 97%
16%
Risk Behavior
healthier than 96%
11%
Mental Health
healthier than 92%
8%
Disability
healthier than 98%
7%
Healthcare Access
in the top 0.00%
5%
About typical
Environmental Hazard
healthier than 56%
14%
Preventive Care
healthier than 59%
13%
Climate / Disaster Risk
healthier than 48%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 87%
21%
Social Need / SDOH
healthier than 85%
16%
Environmental Hazard
healthier than 73%
14%
Preventive Care
healthier than 62%
13%
Risk Behavior
healthier than 77%
11%
Mental Health
healthier than 62%
8%
Disability
healthier than 88%
7%
Healthcare Access
in the top 0.00%
5%
About typical
Climate / Disaster Risk
healthier than 43%
5%
Nothing measured is holding this score back.
“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.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 24.8; chronic-disease standing 98.7 (top 10%) — 74 points apart, heavier on the environment than it is on chronic illness.
Ranked #16,722 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
94022
Californiashares a border
Score 76.18
Closest healthier
94024
Californiashares a border
Score 76.20
Similar health profile
95139
California100% similar profile
Score 66.04
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 | 14.6% | 12.9–16.4 |
| High blood pressure among adults | 23.1% | 20.6–25.7 |
| Cancer (non-skin) or melanoma among adults | 5.8% | 5.2–6.3 |
| Current asthma among adults | 7.9% | 7.0–8.9 |
| Coronary heart disease among adults | 3.4% | 3.1–3.8 |
| Chronic obstructive pulmonary disease among adults | 2.7% | 2.4–3.0 |
| Depression among adults | 18.8% | 16.3–21.4 |
| Diagnosed diabetes among adults | 7.6% | 6.6–8.7 |
| High cholesterol among adults who have ever been screened | 30.9% | 27.9–34.1 |
| Obesity among adults | 20.9% | 17.5–24.6 |
| Stroke among adults | 1.8% | 1.7–2.0 |
| All teeth lost among adults aged >=65 years | 4.2% | 3.4–5.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.0% | 4.1–5.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 66.9% | 63.5–70.1 |
| Visits to doctor for routine checkup within the past year among adults | 70.0% | 66.7–73.3 |
| Cholesterol screening among adults | 87.0% | 85.3–88.5 |
| Colorectal cancer screening among adults aged 45–75 years | 62.4% | 58.3–66.4 |
| Visited dentist or dental clinic in the past year among adults | 71.7% | 69.1–74.2 |
| Mammography use among women aged 50-74 years | 80.0% | 74.2–85.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.0% | 12.8–17.5 |
| Current cigarette smoking among adults | 6.5% | 5.5–7.6 |
| No leisure-time physical activity among adults | 16.9% | 14.5–19.5 |
| Short sleep duration among adults | 29.8% | 26.2–33.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 12.3% | 10.8–13.9 |
| Frequent mental distress among adults | 13.2% | 11.8–14.8 |
| Frequent physical distress among adults | 8.3% | 7.4–9.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 9.3% | 8.3–10.4 |
| Any disability among adults | 19.9% | 17.5–22.4 |
| Hearing disability among adults | 4.1% | 3.6–4.6 |
| Independent living disability among adults | 4.5% | 4.0–5.0 |
| Mobility disability among adults | 7.2% | 6.3–8.3 |
| Self-care disability among adults | 1.8% | 1.7–2.0 |
| Vision disability among adults | 2.8% | 2.5–3.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.3% | 22.3–28.6 |
| Food insecurity in the past 12 months among adults | 8.2% | 6.9–9.6 |
| Received food stamps in the past 12 months among adults | 6.0% | 5.0–7.1 |
| Housing insecurity in the past 12 months among adults | 7.7% | 6.6–8.9 |
| Lack of reliable transportation in the past 12 months among adults | 5.1% | 4.4–5.8 |
| Loneliness among adults | 36.8% | 32.8–41.0 |
| Utility services shut-off threat in the past 12 months among adults | 3.8% | 3.2–4.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.0% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 1.9% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 4.3% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 78.3% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 3.7% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 7.9% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 95.2% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 34.6% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 36.8% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 5.6% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 44.0% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 46.4% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 12.5% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 35.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $187,781 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $2,000,001 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $3,089 | $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 | 83.4 yr ± 0.69 | 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 0.69 years of 83.4, 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