ZIP code
94402
in San Mateo, CaliforniaPopulation 25,475
72.53/ 100
Ranked #217 of 32,066 US ZIPs (top 0.7%)
Ranked #31 of 1,719 California ZIPs (top 1.9%)
Ranked #12 of 174 San Francisco-Oakland-Fremont, CA ZIPs (top 6.9%)
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
$172,522
in the top 2.1% 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 ›Obesity
21.3%
in the bottom 1.5% nationally
Lower is healthier
ST10thUS1stDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Expected annual disaster loss
$1
in the top 1.8% nationally
Lower is healthier
ST89thUS98thDefinition & 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 ›Short sleep
26.4%
in the bottom 1.0% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Utility shut-off threat
3.6%
in the bottom 2.0% nationally
Lower is healthier
ST6thUS2ndDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Energy-cost burden
0.99%
in the bottom 0.9% nationally
Lower is healthier
ST4thUS1stDefinition & 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 ›Humid extreme heat
6.6 days/year
in the bottom 4.2% nationally
Lower is healthier
ST10thUS4thDefinition & source ›
The average number of days per year when modeled heat stress — temperature, humidity, sun, and wind combined — reaches levels hard on the body outdoors.
Full methodology ›Cognitive disability
9.3%
in the bottom 2.8% nationally
Lower is healthier
ST4thUS3rdDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Civic-institution access
0.89 per 1,000 residents
in the top 5.2% nationally
Higher is healthier
ST89thUS95thDefinition & source ›
The number of civic and social organizations 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 ›Lack of transportation
4.8%
in the bottom 5.9% nationally
Lower is healthier
ST7thUS6thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›The read
Judged by its overall standing, ZIP 94402, one of several in San Mateo, California sits in the top 0.7% healthiest ZIPs nationally (217th) and the top 1.9% of California (31st).
A balanced showing across the data, with a few readings each side: household income sits in the top 2.1% nationally, modeled obesity stands in the bottom 1.5% nationally, and modeled short sleep resides in the bottom 1.0% nationally. Modeled utility shutoff sits in the bottom 2.0% nationally, energy burden stands in the bottom 0.9% nationally, and humid heat resides in the bottom 4.2% nationally. Modeled cognitive disability sits in the bottom 2.8% nationally, and civic stands in the top 5.2% nationally. Modeled transportation resides in the bottom 5.9% nationally. On the other hand, modeled expected annual loss sits in the top 1.8% nationally.
Placed beside its immediate neighbors, park land runs far higher than the surrounding ZIPs on this measure. Put plainly, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Energy burden is the share of household income that goes to home energy bills. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. A healthier nearby ZIP overall is ZIP 94404, about 0.3 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 Francisco-Oakland-Fremont, 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 98%
16%
Environmental Hazard
healthier than 61%
14%
Preventive Care
healthier than 69%
13%
Risk Behavior
healthier than 99%
11%
Mental Health
healthier than 94%
8%
Disability
healthier than 96%
7%
Climate / Disaster Risk
in the top 0.8%
5%
Healthcare Access
healthier than 84%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 88%
21%
Social Need / SDOH
healthier than 96%
16%
Environmental Hazard
healthier than 79%
14%
Preventive Care
healthier than 84%
13%
Risk Behavior
healthier than 97%
11%
Mental Health
healthier than 95%
8%
Disability
healthier than 95%
7%
Climate / Disaster Risk
in the top 0.7%
5%
Healthcare Access
healthier than 66%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 69%
21%
Social Need / SDOH
healthier than 80%
16%
Preventive Care
healthier than 71%
13%
Risk Behavior
healthier than 92%
11%
Mental Health
healthier than 86%
8%
Disability
healthier than 83%
7%
Climate / Disaster Risk
in the top 0.6%
5%
About typical
Environmental Hazard
healthier than 59%
14%
Healthcare Access
healthier than 53%
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.
Above what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 83.5 ± 1.2 years. A median household income of $172,522 predicts 82.2 years — 1.3 years above.
Ranked #1,366 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
94002
Californiashares a border
Score 72.01
Closest healthier
94404
Californiaabout 0.3 mi away
Score 75.48
Similar health profile
94552
California100% similar profile
Score 70.52
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 | 20.6% | 18.1–23.1 |
| High blood pressure among adults | 28.1% | 24.7–31.3 |
| Cancer (non-skin) or melanoma among adults | 8.0% | 7.3–8.8 |
| Current asthma among adults | 8.6% | 7.6–9.6 |
| Coronary heart disease among adults | 4.8% | 4.3–5.3 |
| Chronic obstructive pulmonary disease among adults | 3.6% | 3.1–4.0 |
| Depression among adults | 18.9% | 16.0–21.6 |
| Diagnosed diabetes among adults | 8.8% | 7.6–10.1 |
| High cholesterol among adults who have ever been screened | 36.9% | 32.8–40.6 |
| Obesity among adults | 21.3% | 16.9–25.8 |
| Stroke among adults | 2.4% | 2.2–2.6 |
| All teeth lost among adults aged >=65 years | 4.7% | 3.7–5.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 4.5% | 3.9–5.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 72.9% | 69.3–76.0 |
| Visits to doctor for routine checkup within the past year among adults | 72.6% | 68.8–75.9 |
| Cholesterol screening among adults | 89.7% | 88.3–90.9 |
| Colorectal cancer screening among adults aged 45–75 years | 66.4% | 61.8–70.7 |
| Visited dentist or dental clinic in the past year among adults | 73.6% | 70.6–76.5 |
| Mammography use among women aged 50-74 years | 80.2% | 73.6–85.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.5% | 12.9–18.1 |
| Current cigarette smoking among adults | 6.7% | 5.7–7.8 |
| No leisure-time physical activity among adults | 16.2% | 13.5–18.9 |
| Short sleep duration among adults | 26.4% | 21.9–31.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 13.7% | 11.9–15.4 |
| Frequent mental distress among adults | 12.4% | 10.9–13.9 |
| Frequent physical distress among adults | 9.7% | 8.5–10.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 9.3% | 8.2–10.4 |
| Any disability among adults | 21.5% | 18.5–24.4 |
| Hearing disability among adults | 5.1% | 4.5–5.7 |
| Independent living disability among adults | 5.0% | 4.4–5.6 |
| Mobility disability among adults | 9.3% | 8.0–10.5 |
| Self-care disability among adults | 2.2% | 2.0–2.4 |
| Vision disability among adults | 3.1% | 2.8–3.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.1% | 20.1–26.3 |
| Food insecurity in the past 12 months among adults | 8.0% | 6.9–9.4 |
| Received food stamps in the past 12 months among adults | 6.0% | 5.1–7.0 |
| Housing insecurity in the past 12 months among adults | 7.0% | 6.0–8.2 |
| Lack of reliable transportation in the past 12 months among adults | 4.8% | 4.2–5.4 |
| Loneliness among adults | 32.3% | 28.1–36.8 |
| Utility services shut-off threat in the past 12 months among adults | 3.6% | 3.1–4.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 5.2% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 5.5% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 4.1% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 68.6% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 4.0% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 3.9% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 95.5% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 35.4% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 58.4% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 2.9% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 27.9% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 50.6% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 19.9% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 40.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $172,522 | $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 | $3,501 | $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 | 83.5 yr ± 0.61 | 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 0.61 years of 83.5, 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