ZIP code
94074
in San Gregorio, CaliforniaPopulation 126
59.72/ 100
Ranked #5,064 of 32,066 US ZIPs (top 16%)
Ranked #524 of 1,719 California ZIPs (top 30%)
Ranked #134 of 174 San Francisco-Oakland-Fremont, CA ZIPs (bottom 23%)
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
$250,001
at the national maximum
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 ›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 ›Humid extreme heat
4.1 days/year
in the bottom 2.5% nationally
Lower is healthier
ST6thUS2ndDefinition & 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 ›Home broadband subscription
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Energy-cost burden
1.3%
in the bottom 2.5% nationally
Lower is healthier
ST12thUS2ndDefinition & 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 ›Walkability
1.7 intersections/sq mi
in the bottom 5.7% nationally
Higher is healthier
ST6thUS6thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Natural-disaster risk
in the top 6.6% nationally
Lower is healthier
ST71stUS93rdDefinition & 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 ›Slow internet speeds
1.7%
in the top 6.9% nationally
Lower is healthier
ST88thUS93rdDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Obesity
27.1%
in the bottom 9.4% nationally
Lower is healthier
ST39thUS9thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Air-toxics cancer risk
34.8 per million
in the top 9.1% nationally
Lower is healthier
ST54thUS91stDefinition & source ›
The EPA’s modeled estimate of added lifetime cancer risk from breathing outdoor air toxics, in cases per million people exposed over a lifetime.
Full methodology ›The read
San Gregorio, California (ZIP 94074), overall, ranks in the top 16% healthiest ZIPs nationally (5,064th) and the top 30% of California (524th).
This area's measures are easy to read as a mixed set: household income rests at the national maximum, modeled short sleep registers in the bottom 1.0% nationally, and modeled humid heat resides in the bottom 2.5% nationally. Home broadband subscription settles at the national maximum, and modeled energy burden is in the bottom 2.5% nationally. Unemployment sits at the national minimum, shared with about 15% of ZIPs. Modeled obesity lands in the bottom 9.4% nationally. Set against that, walkability lies in the bottom 5.7% nationally, and modeled disaster risk stands in the top 6.6% nationally. Slow internet speeds rests in the top 6.9% nationally.
Measured against the nearby ZIPs, park land runs far lower than the surrounding ZIPs on this measure. Defined simply, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. Energy burden is the share of household income that goes to home energy bills. ZIP 94019, just across the boundary, comes out healthier overall.
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 74%
21%
Social Need / SDOH
healthier than 87%
16%
Environmental Hazard
healthier than 63%
14%
Risk Behavior
healthier than 93%
11%
Disability
healthier than 68%
7%
Climate / Disaster Risk
healthier than 93%
5%
About typical
Preventive Care
healthier than 51%
13%
Mental Health
healthier than 52%
8%
Holding it back
Healthcare Access
healthier than 28%
5%
Lifting this score
Social Need / SDOH
healthier than 82%
16%
Environmental Hazard
healthier than 80%
14%
Preventive Care
healthier than 71%
13%
Risk Behavior
healthier than 87%
11%
Disability
healthier than 63%
7%
Climate / Disaster Risk
healthier than 87%
5%
About typical
Mental Health
healthier than 44%
8%
Holding it back
Chronic Disease Burden
healthier than 39%
21%
Healthcare Access
healthier than 18%
5%
Lifting this score
Environmental Hazard
healthier than 62%
14%
Climate / Disaster Risk
healthier than 78%
5%
About typical
Social Need / SDOH
healthier than 43%
16%
Preventive Care
healthier than 52%
13%
Risk Behavior
healthier than 58%
11%
Holding it back
Chronic Disease Burden
healthier than 8%
21%
Mental Health
healthier than 9%
8%
Disability
healthier than 19%
7%
Healthcare Access
healthier than 3%
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 ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
94019
Californiashares a border
Score 66.71
Closest healthier
94020
Californiashares a border
Score 60.33
Similar health profile
84082
Utah99% similar profile
Score 65.43
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 | 26.1% | 22.9–29.3 |
| High blood pressure among adults | 32.5% | 28.5–36.3 |
| Cancer (non-skin) or melanoma among adults | 9.2% | 8.2–10.2 |
| Current asthma among adults | 10.6% | 9.3–12.0 |
| Coronary heart disease among adults | 6.6% | 5.6–7.8 |
| Chronic obstructive pulmonary disease among adults | 6.7% | 5.0–8.6 |
| Depression among adults | 24.0% | 20.5–27.5 |
| Diagnosed diabetes among adults | 10.6% | 8.9–12.5 |
| High cholesterol among adults who have ever been screened | 38.7% | 34.6–42.5 |
| Obesity among adults | 27.1% | 21.7–32.8 |
| Stroke among adults | 3.4% | 2.8–4.0 |
| All teeth lost among adults aged >=65 years | 7.6% | 6.1–9.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.2% | 5.3–9.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 73.8% | 70.2–77.1 |
| Visits to doctor for routine checkup within the past year among adults | 71.7% | 67.9–75.4 |
| Cholesterol screening among adults | 87.7% | 85.5–89.6 |
| Colorectal cancer screening among adults aged 45–75 years | 68.2% | 63.7–72.4 |
| Visited dentist or dental clinic in the past year among adults | 69.2% | 66.0–72.4 |
| Mammography use among women aged 50-74 years | 78.1% | 71.3–83.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.3% | 13.6–19.2 |
| Current cigarette smoking among adults | 11.1% | 8.2–14.3 |
| No leisure-time physical activity among adults | 20.1% | 15.5–24.6 |
| Short sleep duration among adults | 26.4% | 21.9–31.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 19.9% | 15.8–24.0 |
| Frequent mental distress among adults | 15.9% | 13.5–18.3 |
| Frequent physical distress among adults | 13.6% | 11.2–16.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.7% | 11.1–16.3 |
| Any disability among adults | 28.9% | 23.8–33.8 |
| Hearing disability among adults | 6.5% | 5.5–7.6 |
| Independent living disability among adults | 7.7% | 6.1–9.4 |
| Mobility disability among adults | 13.7% | 10.8–16.9 |
| Self-care disability among adults | 3.7% | 2.9–4.6 |
| Vision disability among adults | 4.6% | 3.8–5.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.2% | 19.4–27.1 |
| Food insecurity in the past 12 months among adults | 12.5% | 9.3–16.3 |
| Received food stamps in the past 12 months among adults | 11.7% | 8.2–15.5 |
| Housing insecurity in the past 12 months among adults | 10.4% | 8.0–12.9 |
| Lack of reliable transportation in the past 12 months among adults | 7.2% | 5.7–8.8 |
| Loneliness among adults | 33.6% | 28.8–38.4 |
| Utility services shut-off threat in the past 12 months among adults | 5.6% | 4.5–6.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 14.4% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 0.0% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 0.0% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 54.3% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 100.0% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 14.3% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 65.7% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 9.5% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 30.4% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 0.0% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 48.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $250,001 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | — | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | — | $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 | 82.4 yr ± 1.94 | 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 1.94 years of 82.4, 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