ZIP code
94103
in San Francisco, CaliforniaPopulation 34,964
65.22/ 100
Ranked #1,909 of 32,066 US ZIPs (top 6.0%)
Ranked #257 of 1,719 California ZIPs (top 15.0%)
Ranked #94 of 174 San Francisco-Oakland-Fremont, CA ZIPs (bottom 46%)
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 0.07% 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 ›Subsidized affordable housing
3,021 units
in the top 0.09% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Loud transportation noise
14.3%
in the top 0.2% nationally
Lower is healthier
ST99thUS99thDefinition & 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 ›Walkability
380 intersections/sq mi
in the top 0.3% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Obesity
19.3%
in the bottom 0.8% nationally
Lower is healthier
ST5thUS1stDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Natural-disaster risk
in the top 0.6% nationally
Lower is healthier
ST98thUS99thDefinition & 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 ›Households without a vehicle
53.4%
in the top 0.9% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Transportation noise
30.1%
in the top 1.2% nationally
Lower is healthier
ST97thUS99thDefinition & 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 ›Energy-cost burden
0.52%
in the bottom 0.06% nationally
Lower is healthier
ST1stUS1stDefinition & 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 ›Homeownership rate
19.7%
in the bottom 2.0% nationally
Higher is healthier
ST5thUS2ndDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›The read
Judged by its overall standing, ZIP 94103, one of several in San Francisco, California sits in the top 6.0% healthiest ZIPs nationally (1,909th) and the top 15.0% of California (257th).
A few readings each way define this mixed profile: subsidized affordable housing resides in the top 0.09% nationally, walkability sits in the top 0.3% nationally, and modeled obesity stands in the bottom 0.8% nationally. Modeled energy burden resides in the bottom 0.06% nationally. Pulling the other way, modeled expected annual loss sits in the top 0.07% nationally, and loud transportation noise stands in the top 0.2% nationally. Modeled disaster risk resides in the top 0.6% nationally, and households without a vehicle sits in the top 0.9% nationally. Modeled transportation noise stands in the top 1.2% nationally, and homeownership resides in the bottom 2.0% nationally.
Placed beside its immediate neighbors, expected annual loss runs far higher than the surrounding ZIPs on this measure. Put plainly, 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. A healthier nearby ZIP overall is ZIP 94105, 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 98%
21%
Social Need / SDOH
in the top 0.5%
16%
Risk Behavior
healthier than 62%
11%
Mental Health
healthier than 80%
8%
Disability
healthier than 88%
7%
Climate / Disaster Risk
healthier than 92%
5%
Healthcare Access
healthier than 91%
5%
Holding it back
Environmental Hazard
healthier than 24%
14%
Preventive Care
healthier than 16%
13%
Lifting this score
Chronic Disease Burden
healthier than 95%
21%
Social Need / SDOH
in the top 0.7%
16%
Mental Health
healthier than 78%
8%
Disability
healthier than 84%
7%
Climate / Disaster Risk
healthier than 85%
5%
Healthcare Access
healthier than 81%
5%
About typical
Environmental Hazard
healthier than 55%
14%
Holding it back
Preventive Care
healthier than 38%
13%
Risk Behavior
healthier than 37%
11%
Lifting this score
Chronic Disease Burden
healthier than 87%
21%
Social Need / SDOH
healthier than 97%
16%
Climate / Disaster Risk
healthier than 73%
5%
Healthcare Access
healthier than 73%
5%
About typical
Mental Health
healthier than 46%
8%
Disability
healthier than 51%
7%
Holding it back
Environmental Hazard
healthier than 17%
14%
Preventive Care
healthier than 19%
13%
Risk Behavior
healthier than 12%
11%
“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
3 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.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 75.4 ± 1.4 years. A median household income of $116,438 predicts 80.7 years — 5.3 years below.
Ranked #5,602 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Below its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 75.4 ± 1.4 years. The 48 nearest ZIP codes with estimates average 81.7 years — 6.3 years below them.
Ranked #3,577 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 24.0; chronic-disease standing 97.9 (top 10%) — 74 points apart, heavier on the environment than it is on chronic illness.
Ranked #16,722 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
94102
Californiashares a border
Score 53.36
Closest healthier
94105
Californiashares a border
Score 72.17
Similar health profile
33146
Florida97% similar profile
Score 66.14
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 | 14.9% | 13.1–17.0 |
| High blood pressure among adults | 25.0% | 22.3–28.1 |
| Cancer (non-skin) or melanoma among adults | 4.5% | 4.1–5.0 |
| Current asthma among adults | 8.5% | 7.6–9.6 |
| Coronary heart disease among adults | 4.4% | 3.9–4.8 |
| Chronic obstructive pulmonary disease among adults | 3.8% | 3.4–4.2 |
| Depression among adults | 20.1% | 17.6–23.2 |
| Diagnosed diabetes among adults | 9.3% | 8.2–10.6 |
| High cholesterol among adults who have ever been screened | 31.3% | 28.2–34.9 |
| Obesity among adults | 19.3% | 15.6–23.6 |
| Stroke among adults | 2.4% | 2.2–2.6 |
| All teeth lost among adults aged >=65 years | 9.6% | 7.8–11.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.2% | 6.3–8.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 66.6% | 63.4–69.8 |
| Visits to doctor for routine checkup within the past year among adults | 69.3% | 65.7–73.1 |
| Cholesterol screening among adults | 83.9% | 82.1–85.7 |
| Colorectal cancer screening among adults aged 45–75 years | 59.4% | 54.6–64.2 |
| Visited dentist or dental clinic in the past year among adults | 63.1% | 60.0–66.2 |
| Mammography use among women aged 50-74 years | 77.8% | 71.0–83.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 21.1% | 18.2–24.5 |
| Current cigarette smoking among adults | 9.9% | 8.6–11.4 |
| No leisure-time physical activity among adults | 19.2% | 16.4–22.2 |
| Short sleep duration among adults | 34.5% | 29.9–39.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.6% | 15.6–19.7 |
| Frequent mental distress among adults | 15.2% | 13.6–17.0 |
| Frequent physical distress among adults | 10.4% | 9.3–11.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.8% | 11.4–14.2 |
| Any disability among adults | 24.8% | 21.9–28.0 |
| Hearing disability among adults | 4.6% | 4.1–5.2 |
| Independent living disability among adults | 6.4% | 5.7–7.1 |
| Mobility disability among adults | 9.6% | 8.5–10.9 |
| Self-care disability among adults | 2.9% | 2.7–3.2 |
| Vision disability among adults | 4.4% | 4.0–4.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 28.9% | 25.3–32.7 |
| Food insecurity in the past 12 months among adults | 14.8% | 12.7–16.9 |
| Received food stamps in the past 12 months among adults | 12.4% | 10.6–14.1 |
| Housing insecurity in the past 12 months among adults | 11.8% | 10.2–13.6 |
| Lack of reliable transportation in the past 12 months among adults | 8.2% | 7.2–9.2 |
| Loneliness among adults | 38.9% | 34.3–43.7 |
| Utility services shut-off threat in the past 12 months among adults | 6.5% | 5.6–7.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 19.7% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 5.9% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 12.4% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 54.2% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 7.2% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 53.4% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 89.3% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 38.4% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 19.7% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 8.8% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 38.8% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 56.5% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 13.1% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 37.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $116,438 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $1,022,800 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $2,218 | $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 | 75.4 yr ± 0.73 | 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 0.73 years of 75.4, 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