ZIP code
94070
in San Carlos, CaliforniaPopulation 30,447
71.56/ 100
Ranked #336 of 32,066 US ZIPs (top 1.1%)
Ranked #54 of 1,719 California ZIPs (top 3.2%)
Ranked #25 of 174 San Francisco-Oakland-Fremont, CA ZIPs (top 14.4%)
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
$240,074
in the top 0.5% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Expected annual disaster loss
$1
in the top 0.8% nationally
Lower is healthier
ST94thUS99thDefinition & 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 ›Obesity
22.2%
in the bottom 2.2% nationally
Lower is healthier
ST13thUS2ndDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Short sleep
26.1%
in the bottom 0.8% 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
0.90%
in the bottom 0.7% nationally
Lower is healthier
ST3rdUS1stDefinition & 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 ›Lack of transportation
4.5%
in the bottom 3.8% nationally
Lower is healthier
ST5thUS4thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Natural-disaster risk
in the top 4.2% nationally
Lower is healthier
ST83rdUS96thDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›Food insecurity
7.2%
in the bottom 4.3% nationally
Lower is healthier
ST6thUS4thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Housing insecurity
6.6%
in the bottom 4.9% nationally
Lower is healthier
ST5thUS5thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›The read
In its overall standing, San Carlos, California (ZIP 94070) lands in the top 1.1% healthiest ZIPs nationally (336th) and the top 3.2% of California (54th).
Taken together, the data gives a genuinely mixed reading: household income lands in the top 0.5% nationally, modeled obesity lies in the bottom 2.2% nationally, and modeled short sleep stands in the bottom 0.8% nationally. Modeled utility shutoff rests in the bottom 2.0% nationally, energy burden registers in the bottom 0.7% nationally, and transportation resides in the bottom 3.8% nationally. Modeled food insecurity settles in the bottom 4.3% nationally, and housing insecurity is in the bottom 4.9% nationally. On the other side, modeled expected annual loss sits in the top 0.8% nationally, and disaster risk lands in the top 4.2% nationally.
Against the wider neighborhood, expected annual loss runs far higher than the surrounding ZIPs on this measure. Put simply, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Energy burden is the share of household income that goes to home energy bills. On the overall standing, ZIP 94002, just across the boundary, ranks healthier.
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 95%
21%
Social Need / SDOH
healthier than 99%
16%
Environmental Hazard
healthier than 60%
14%
Preventive Care
healthier than 72%
13%
Risk Behavior
healthier than 99%
11%
Mental Health
healthier than 91%
8%
Disability
healthier than 97%
7%
Climate / Disaster Risk
healthier than 87%
5%
Healthcare Access
healthier than 84%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 84%
21%
Social Need / SDOH
healthier than 98%
16%
Environmental Hazard
healthier than 79%
14%
Preventive Care
healthier than 86%
13%
Risk Behavior
healthier than 97%
11%
Mental Health
healthier than 91%
8%
Disability
healthier than 96%
7%
Climate / Disaster Risk
healthier than 71%
5%
Healthcare Access
healthier than 67%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 64%
21%
Social Need / SDOH
healthier than 88%
16%
Preventive Care
healthier than 74%
13%
Risk Behavior
healthier than 90%
11%
Mental Health
healthier than 73%
8%
Disability
healthier than 86%
7%
About typical
Environmental Hazard
healthier than 57%
14%
Climate / Disaster Risk
healthier than 48%
5%
Healthcare Access
healthier than 54%
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 ›
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
94065
Californiashares a border
Score 75.76
Similar health profile
94611
California99% similar profile
Score 71.39
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 | 21.4% | 18.7–24.0 |
| High blood pressure among adults | 28.0% | 24.5–31.3 |
| Cancer (non-skin) or melanoma among adults | 8.5% | 7.7–9.3 |
| Current asthma among adults | 9.1% | 8.0–10.1 |
| Coronary heart disease among adults | 4.7% | 4.2–5.2 |
| Chronic obstructive pulmonary disease among adults | 3.7% | 3.3–4.2 |
| Depression among adults | 20.2% | 17.2–23.1 |
| Diagnosed diabetes among adults | 8.4% | 7.2–9.6 |
| High cholesterol among adults who have ever been screened | 36.7% | 32.6–40.4 |
| Obesity among adults | 22.2% | 17.6–26.9 |
| Stroke among adults | 2.4% | 2.2–2.6 |
| All teeth lost among adults aged >=65 years | 4.7% | 3.7–5.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 3.9% | 3.3–4.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 72.3% | 68.5–75.6 |
| Visits to doctor for routine checkup within the past year among adults | 72.8% | 68.9–76.1 |
| Cholesterol screening among adults | 90.3% | 89.0–91.5 |
| Colorectal cancer screening among adults aged 45–75 years | 66.3% | 61.8–70.6 |
| Visited dentist or dental clinic in the past year among adults | 75.0% | 72.0–77.8 |
| Mammography use among women aged 50-74 years | 79.8% | 73.4–85.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.4% | 13.7–19.2 |
| Current cigarette smoking among adults | 7.0% | 5.9–8.1 |
| No leisure-time physical activity among adults | 15.2% | 12.6–17.9 |
| Short sleep duration among adults | 26.1% | 21.6–30.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 13.3% | 11.5–15.0 |
| Frequent mental distress among adults | 12.8% | 11.3–14.4 |
| Frequent physical distress among adults | 9.9% | 8.7–11.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 9.4% | 8.3–10.5 |
| Any disability among adults | 21.3% | 18.3–24.2 |
| Hearing disability among adults | 5.0% | 4.4–5.6 |
| Independent living disability among adults | 5.0% | 4.5–5.6 |
| Mobility disability among adults | 9.2% | 8.0–10.4 |
| Self-care disability among adults | 2.2% | 2.0–2.4 |
| Vision disability among adults | 2.9% | 2.7–3.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.9% | 18.9–25.0 |
| Food insecurity in the past 12 months among adults | 7.2% | 6.2–8.4 |
| Received food stamps in the past 12 months among adults | 5.6% | 4.7–6.5 |
| Housing insecurity in the past 12 months among adults | 6.6% | 5.7–7.7 |
| Lack of reliable transportation in the past 12 months among adults | 4.5% | 4.0–5.1 |
| Loneliness among adults | 31.6% | 27.4–35.9 |
| Utility services shut-off threat in the past 12 months among adults | 3.6% | 3.1–4.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 3.3% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 0.6% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 3.0% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 70.5% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 5.0% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 4.0% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 98.5% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 25.5% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 68.6% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 1.6% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 25.7% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 45.8% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 16.3% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 41.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $240,074 | $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 | $2,854 | $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 | 84.2 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 84.2, 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