ZIP code
94080
in South San Francisco, CaliforniaPopulation 64,761
66.14/ 100
Ranked #1,565 of 32,066 US ZIPs (top 4.9%)
Ranked #225 of 1,719 California ZIPs (top 13.1%)
Ranked #84 of 174 San Francisco-Oakland-Fremont, CA ZIPs (top 48%)
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.
Expected annual disaster loss
$2
in the top 0.2% nationally
Lower is healthier
ST99thUS99thDefinition & 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 ›Natural-disaster risk
in the top 0.2% nationally
Lower is healthier
ST99thUS99thDefinition & 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 ›Obesity
22.3%
in the bottom 2.3% nationally
Lower is healthier
ST14thUS2ndDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Subsidized affordable housing
629 units
in the top 3.3% nationally
Higher is healthier
ST91stUS97thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Median household income
$136,733
in the top 5.7% nationally
Higher is healthier
ST82ndUS94thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Energy-cost burden
1.2%
in the bottom 2.2% nationally
Lower is healthier
ST11thUS2ndDefinition & 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 ›Crowded housing
9.0%
in the top 5.5% nationally
Lower is healthier
ST73rdUS95thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Transportation noise
10.4%
in the top 8.0% nationally
Lower is healthier
ST76thUS92ndDefinition & 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 ›Outer-floodplain exposure
4.1%
in the top 8.7% nationally
Lower is healthier
ST82ndUS91stDefinition & 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 ›Loud transportation noise
1.8%
in the top 8.8% nationally
Lower is healthier
ST58thUS91stDefinition & 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 ›The read
ZIP 94080, one of several in South San Francisco, California, by its composite score, sits in the top 4.9% healthiest ZIPs nationally (1,565th) and the top 13.1% of California (225th).
The data opens on a genuinely even set of readings: modeled obesity resides in the bottom 2.3% nationally, and subsidized affordable housing is in the top 3.3% nationally. Household income lands in the top 5.7% nationally, and modeled energy burden stands in the bottom 2.2% nationally. On the other side, modeled expected annual loss registers in the top 0.2% nationally, modeled disaster risk settles in the top 0.2% nationally, and crowded housing sits in the top 5.5% nationally. Modeled transportation noise lies in the top 8.0% nationally, outer-floodplain exposure rests in the top 8.7% nationally, and modeled loud transportation noise resides in the top 8.8% nationally.
Next to the surrounding area, expected annual loss runs far higher than the surrounding ZIPs on this measure. For anyone unfamiliar, 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. Subsidized affordable housing is the main federal tax-credit program (HUD) funding affordable rental housing, counted as local units it supports. For a healthier comparison close by, see ZIP 94005, 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 95%
21%
Social Need / SDOH
healthier than 83%
16%
Environmental Hazard
healthier than 85%
14%
Risk Behavior
healthier than 94%
11%
Mental Health
healthier than 95%
8%
Disability
healthier than 84%
7%
Healthcare Access
healthier than 85%
5%
About typical
Climate / Disaster Risk
healthier than 50%
5%
Holding it back
Preventive Care
healthier than 25%
13%
Lifting this score
Chronic Disease Burden
healthier than 85%
21%
Social Need / SDOH
healthier than 77%
16%
Environmental Hazard
healthier than 90%
14%
Risk Behavior
healthier than 88%
11%
Mental Health
healthier than 95%
8%
Disability
healthier than 80%
7%
Healthcare Access
healthier than 68%
5%
About typical
Preventive Care
healthier than 48%
13%
Holding it back
Climate / Disaster Risk
healthier than 38%
5%
Lifting this score
Chronic Disease Burden
healthier than 65%
21%
Environmental Hazard
healthier than 80%
14%
Risk Behavior
healthier than 62%
11%
Mental Health
healthier than 86%
8%
About typical
Disability
healthier than 43%
7%
Healthcare Access
healthier than 55%
5%
Holding it back
Social Need / SDOH
healthier than 34%
16%
Preventive Care
healthier than 30%
13%
Climate / Disaster Risk
healthier than 23%
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
94005
Californiashares a border
Score 66.43
Closest healthier
94015
Californiashares a border
Score 68.71
Similar health profile
95148
California99% similar profile
Score 67.11
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 | 18.8% | 16.4–21.1 |
| High blood pressure among adults | 28.9% | 25.4–32.1 |
| Cancer (non-skin) or melanoma among adults | 5.6% | 5.0–6.1 |
| Current asthma among adults | 8.2% | 7.2–9.2 |
| Coronary heart disease among adults | 5.1% | 4.5–5.6 |
| Chronic obstructive pulmonary disease among adults | 4.0% | 3.5–4.4 |
| Depression among adults | 17.0% | 14.4–19.6 |
| Diagnosed diabetes among adults | 11.6% | 10.0–13.0 |
| High cholesterol among adults who have ever been screened | 37.3% | 33.4–41.0 |
| Obesity among adults | 22.3% | 17.8–26.9 |
| Stroke among adults | 2.8% | 2.5–3.0 |
| All teeth lost among adults aged >=65 years | 7.8% | 6.2–9.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.9% | 7.6–10.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 72.2% | 68.7–75.1 |
| Visits to doctor for routine checkup within the past year among adults | 70.4% | 66.4–73.9 |
| Cholesterol screening among adults | 86.7% | 85.0–88.2 |
| Colorectal cancer screening among adults aged 45–75 years | 60.9% | 56.1–65.6 |
| Visited dentist or dental clinic in the past year among adults | 64.6% | 61.1–67.9 |
| Mammography use among women aged 50-74 years | 77.0% | 70.0–83.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.7% | 11.3–16.1 |
| Current cigarette smoking among adults | 8.9% | 7.6–10.1 |
| No leisure-time physical activity among adults | 23.4% | 19.9–26.8 |
| Short sleep duration among adults | 30.0% | 25.1–35.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 19.3% | 17.1–21.5 |
| Frequent mental distress among adults | 13.6% | 12.1–15.2 |
| Frequent physical distress among adults | 11.5% | 10.2–12.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.8% | 10.5–13.1 |
| Any disability among adults | 25.7% | 22.5–28.8 |
| Hearing disability among adults | 5.3% | 4.7–5.9 |
| Independent living disability among adults | 6.4% | 5.7–7.0 |
| Mobility disability among adults | 11.7% | 10.3–13.1 |
| Self-care disability among adults | 3.0% | 2.8–3.3 |
| Vision disability among adults | 4.7% | 4.3–5.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 29.6% | 26.0–33.2 |
| Food insecurity in the past 12 months among adults | 15.2% | 13.2–17.3 |
| Received food stamps in the past 12 months among adults | 10.9% | 9.6–12.4 |
| Housing insecurity in the past 12 months among adults | 11.8% | 10.3–13.4 |
| Lack of reliable transportation in the past 12 months among adults | 7.6% | 6.7–8.4 |
| Loneliness among adults | 36.5% | 32.0–41.2 |
| Utility services shut-off threat in the past 12 months among adults | 5.5% | 4.8–6.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.7% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 4.5% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 13.9% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 40.8% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 2.8% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 7.5% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 95.6% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 38.1% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 58.9% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 9.0% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 40.1% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 48.2% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 19.0% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 43.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $136,733 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $1,188,700 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $2,809 | $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 ± 0.44 | 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 0.44 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