ZIP code
94401
in San Mateo, CaliforniaPopulation 35,295
61.34/ 100
Ranked #3,919 of 32,066 US ZIPs (top 12.3%)
Ranked #445 of 1,719 California ZIPs (top 26%)
Ranked #123 of 174 San Francisco-Oakland-Fremont, CA ZIPs (bottom 29%)
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.
Loud transportation noise
5.6%
in the top 1.1% nationally
Lower is healthier
ST94thUS99thDefinition & 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 ›Dental provider access
2 per 1,000 residents
in the top 1.2% nationally
Higher is healthier
ST97thUS99thDefinition & 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 ›Transportation noise
21.2%
in the top 2.3% nationally
Lower is healthier
ST94thUS98thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Expected annual disaster loss
$0
in the top 3.1% 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 ›Crowded housing
11.4%
in the top 3.7% nationally
Lower is healthier
ST80thUS96thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Outer-floodplain exposure
9.7%
in the top 3.9% nationally
Lower is healthier
ST89thUS96thDefinition & 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 ›Energy-cost burden
1.1%
in the bottom 1.4% nationally
Lower is healthier
ST7thUS1stDefinition & 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 ›Obesity
25.6%
in the bottom 6.5% nationally
Lower is healthier
ST29thUS6thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Physician access
2.4 per 1,000 residents
in the top 5.2% nationally
Higher is healthier
ST92ndUS95thDefinition & source ›
The number of physicians’ 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 ›Walkability
140 intersections/sq mi
in the top 5.7% nationally
Higher is healthier
ST84thUS94thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›The read
Overall, ZIP 94401, one of several in San Mateo, California places in the top 12.3% healthiest ZIPs nationally (3,919th) and the top 26% of California (445th).
The data opens on a genuinely even set of readings: dental providers lands in the top 1.2% nationally, and modeled energy burden stands in the bottom 1.4% nationally. Modeled obesity registers in the bottom 6.5% nationally, and physicians settles in the top 5.2% nationally. Walkability sits in the top 5.7% nationally. On the other side, modeled loud transportation noise lies in the top 1.1% nationally, transportation noise rests in the top 2.3% nationally, and expected annual loss resides in the top 3.1% nationally. Crowded housing is in the top 3.7% nationally, and outer-floodplain exposure lands in the top 3.9% nationally.
Beside the areas that surround it, loud transportation noise runs far higher than the surrounding ZIPs on this measure. For readers new to these terms, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. 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. Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. Among nearby ZIPs, the nearest healthier one overall is ZIP 94010, 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 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 94%
21%
Social Need / SDOH
healthier than 80%
16%
Risk Behavior
healthier than 88%
11%
Mental Health
healthier than 81%
8%
Disability
healthier than 75%
7%
Climate / Disaster Risk
healthier than 76%
5%
Healthcare Access
healthier than 79%
5%
Holding it back
Environmental Hazard
healthier than 26%
14%
Preventive Care
healthier than 15%
13%
Lifting this score
Chronic Disease Burden
healthier than 83%
21%
Social Need / SDOH
healthier than 74%
16%
Risk Behavior
healthier than 75%
11%
Mental Health
healthier than 79%
8%
Disability
healthier than 70%
7%
About typical
Environmental Hazard
healthier than 58%
14%
Climate / Disaster Risk
healthier than 56%
5%
Healthcare Access
healthier than 58%
5%
Holding it back
Preventive Care
healthier than 37%
13%
Lifting this score
Chronic Disease Burden
healthier than 62%
21%
About typical
Risk Behavior
healthier than 42%
11%
Mental Health
healthier than 50%
8%
Healthcare Access
healthier than 42%
5%
Holding it back
Social Need / SDOH
healthier than 29%
16%
Environmental Hazard
healthier than 20%
14%
Preventive Care
healthier than 17%
13%
Disability
healthier than 25%
7%
Climate / Disaster Risk
healthier than 34%
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 82.1 ± 1.1 years. A median household income of $122,227 predicts 80.9 years — 1.2 years above.
Ranked #1,393 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 26.4; chronic-disease standing 94.3 (top 10%) — 68 points apart, heavier on the environment than it is on chronic illness.
Ranked #16,208 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
94010
Californiashares a border
Score 72.25
Closest healthier
94402
Californiashares a border
Score 72.53
Similar health profile
91324
California98% similar profile
Score 58.99
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 | 18.9% | 16.5–21.1 |
| High blood pressure among adults | 27.9% | 24.6–31.1 |
| Cancer (non-skin) or melanoma among adults | 5.8% | 5.2–6.3 |
| Current asthma among adults | 9.0% | 7.9–10.1 |
| Coronary heart disease among adults | 5.0% | 4.5–5.5 |
| Chronic obstructive pulmonary disease among adults | 4.4% | 3.9–4.9 |
| Depression among adults | 19.7% | 16.7–22.6 |
| Diagnosed diabetes among adults | 10.5% | 9.1–11.9 |
| High cholesterol among adults who have ever been screened | 34.8% | 31.0–38.4 |
| Obesity among adults | 25.6% | 20.5–30.6 |
| Stroke among adults | 2.7% | 2.5–3.0 |
| All teeth lost among adults aged >=65 years | 8.4% | 6.8–10.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.4% | 8.9–11.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 69.1% | 65.6–72.1 |
| Visits to doctor for routine checkup within the past year among adults | 68.4% | 64.3–72.1 |
| Cholesterol screening among adults | 84.9% | 83.1–86.5 |
| Colorectal cancer screening among adults aged 45–75 years | 60.0% | 55.2–64.6 |
| Visited dentist or dental clinic in the past year among adults | 62.8% | 59.4–66.2 |
| Mammography use among women aged 50-74 years | 76.7% | 69.6–82.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.8% | 13.1–18.5 |
| Current cigarette smoking among adults | 10.0% | 8.5–11.3 |
| No leisure-time physical activity among adults | 23.2% | 19.5–26.7 |
| Short sleep duration among adults | 29.9% | 25.1–34.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.6% | 18.2–22.9 |
| Frequent mental distress among adults | 15.3% | 13.5–17.1 |
| Frequent physical distress among adults | 12.2% | 10.7–13.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.6% | 12.0–15.1 |
| Any disability among adults | 27.4% | 23.9–30.8 |
| Hearing disability among adults | 5.4% | 4.7–6.0 |
| Independent living disability among adults | 7.3% | 6.5–8.1 |
| Mobility disability among adults | 12.0% | 10.5–13.5 |
| Self-care disability among adults | 3.4% | 3.1–3.7 |
| Vision disability among adults | 5.2% | 4.7–5.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 27.8% | 24.4–31.3 |
| Food insecurity in the past 12 months among adults | 17.1% | 15.0–19.3 |
| Received food stamps in the past 12 months among adults | 13.8% | 11.9–15.6 |
| Housing insecurity in the past 12 months among adults | 13.9% | 12.1–15.7 |
| Lack of reliable transportation in the past 12 months among adults | 8.8% | 7.8–9.9 |
| Loneliness among adults | 36.4% | 31.9–40.9 |
| Utility services shut-off threat in the past 12 months among adults | 6.9% | 6.0–7.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 12.2% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 7.2% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 14.8% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 46.3% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 3.6% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 8.7% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 94.7% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 43.4% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 43.4% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 11.4% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 39.9% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 44.7% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 16.6% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 35.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $122,227 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $1,184,500 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $2,762 | $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 | 82.1 yr ± 0.58 | 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 0.58 years of 82.1, 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