ZIP code
94021
in Loma Mar, CaliforniaPopulation 321
57.80/ 100
Ranked #6,569 of 32,066 US ZIPs (top 20%)
Ranked #625 of 1,719 California ZIPs (top 36%)
Ranked #141 of 174 San Francisco-Oakland-Fremont, CA ZIPs (bottom 19%)
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 ›Air-toxics cancer risk
77.9 per million
in the top 0.2% nationally
Lower is healthier
ST99thUS99thDefinition & 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 ›Crowded housing
18.8%
in the top 1.4% nationally
Lower is healthier
ST93rdUS99thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Poverty rate
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
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 ›Short sleep
27.9%
in the bottom 2.9% nationally
Lower is healthier
ST3rdUS3rdDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Walkability
1.6 intersections/sq mi
in the bottom 5.0% nationally
Higher is healthier
ST5thUS5thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
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 ›Tree cover
76.8%
in the top 6.2% nationally
Higher is healthier
ST96thUS94thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›The read
Overall, Loma Mar, California (ZIP 94021) places in the top 20% healthiest ZIPs nationally (6,569th) and the top 36% of California (625th).
The data opens on a genuinely even set of readings: household income sits at the national maximum, and poverty lies at the national minimum. Modeled humid heat rests in the bottom 2.5% nationally, and home broadband subscription resides at the national maximum. Modeled short sleep is in the bottom 2.9% nationally, energy burden lands in the bottom 2.5% nationally, and tree cover stands in the top 6.2% nationally. On the other side, modeled air-toxics cancer risk registers in the top 0.2% nationally, crowded housing settles in the top 1.4% nationally, and walkability sits in the bottom 5.0% nationally.
Beside the areas that surround it, crowded housing runs far higher than the surrounding ZIPs on this measure. For readers new to these terms, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. 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. Among nearby ZIPs, the nearest healthier one overall is ZIP 94020, 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 67%
21%
Social Need / SDOH
healthier than 90%
16%
Preventive Care
healthier than 63%
13%
Risk Behavior
healthier than 92%
11%
Disability
healthier than 66%
7%
Climate / Disaster Risk
healthier than 96%
5%
Holding it back
Environmental Hazard
healthier than 30%
14%
Mental Health
healthier than 38%
8%
Healthcare Access
healthier than 17%
5%
Lifting this score
Social Need / SDOH
healthier than 86%
16%
Environmental Hazard
healthier than 61%
14%
Preventive Care
healthier than 80%
13%
Risk Behavior
healthier than 84%
11%
Disability
healthier than 61%
7%
Climate / Disaster Risk
healthier than 93%
5%
Holding it back
Chronic Disease Burden
healthier than 32%
21%
Mental Health
healthier than 28%
8%
Healthcare Access
healthier than 12%
5%
Lifting this score
Preventive Care
healthier than 66%
13%
Climate / Disaster Risk
healthier than 87%
5%
About typical
Social Need / SDOH
healthier than 51%
16%
Risk Behavior
healthier than 55%
11%
Holding it back
Chronic Disease Burden
healthier than 3%
21%
Environmental Hazard
healthier than 24%
14%
Mental Health
healthier than 4%
8%
Disability
healthier than 17%
7%
Healthcare Access
healthier than 1%
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
94020
Californiashares a border
Score 60.33
Closest healthier
94060
Californiashares a border
Score 60.34
Similar health profile
99030
Washington97% similar profile
Score 55.30
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 | 28.0% | 24.5–31.4 |
| High blood pressure among adults | 33.4% | 29.4–37.3 |
| Cancer (non-skin) or melanoma among adults | 10.2% | 9.1–11.3 |
| Current asthma among adults | 11.2% | 9.8–12.7 |
| Coronary heart disease among adults | 6.7% | 5.5–8.0 |
| Chronic obstructive pulmonary disease among adults | 7.0% | 5.2–9.1 |
| Depression among adults | 25.6% | 22.0–29.2 |
| Diagnosed diabetes among adults | 10.6% | 8.8–12.7 |
| High cholesterol among adults who have ever been screened | 39.0% | 34.7–42.9 |
| Obesity among adults | 27.8% | 22.2–33.7 |
| Stroke among adults | 3.5% | 2.9–4.2 |
| All teeth lost among adults aged >=65 years | 7.4% | 5.9–9.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.4% | 4.5–9.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 74.8% | 71.3–77.9 |
| Visits to doctor for routine checkup within the past year among adults | 73.2% | 69.4–76.6 |
| Cholesterol screening among adults | 88.9% | 86.6–90.9 |
| Colorectal cancer screening among adults aged 45–75 years | 71.5% | 67.2–75.5 |
| Visited dentist or dental clinic in the past year among adults | 66.4% | 63.0–69.7 |
| Mammography use among women aged 50-74 years | 77.4% | 70.2–83.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.5% | 12.9–18.3 |
| Current cigarette smoking among adults | 11.6% | 8.4–15.1 |
| No leisure-time physical activity among adults | 20.5% | 15.9–25.7 |
| Short sleep duration among adults | 27.9% | 23.4–32.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 19.9% | 15.8–24.6 |
| Frequent mental distress among adults | 16.4% | 13.9–19.0 |
| Frequent physical distress among adults | 13.9% | 11.5–16.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.7% | 11.1–16.6 |
| Any disability among adults | 29.3% | 24.2–34.9 |
| Hearing disability among adults | 6.6% | 5.5–7.8 |
| Independent living disability among adults | 8.0% | 6.4–10.0 |
| Mobility disability among adults | 14.3% | 11.3–18.0 |
| Self-care disability among adults | 3.7% | 2.9–4.7 |
| Vision disability among adults | 4.5% | 3.6–5.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.1% | 18.4–26.3 |
| Food insecurity in the past 12 months among adults | 12.1% | 8.9–16.1 |
| Received food stamps in the past 12 months among adults | 12.3% | 8.7–16.5 |
| Housing insecurity in the past 12 months among adults | 10.3% | 7.9–13.0 |
| Lack of reliable transportation in the past 12 months among adults | 6.9% | 5.5–8.6 |
| Loneliness among adults | 33.0% | 28.3–38.1 |
| Utility services shut-off threat in the past 12 months among adults | 5.9% | 4.7–7.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 0.0% | 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+) | 71.0% | 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) | 13.3% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 71.9% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 18.8% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 14.1% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 27.7% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 46.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $250,001 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $1,073,100 | $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