ZIP code
94118
in San Francisco, CaliforniaPopulation 39,130
71.02/ 100
Ranked #413 of 32,066 US ZIPs (top 1.3%)
Ranked #67 of 1,719 California ZIPs (top 3.9%)
Ranked #34 of 174 San Francisco-Oakland-Fremont, CA ZIPs (top 20%)
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.
Obesity
15.5%
in the bottom 0.09% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Expected annual disaster loss
$1
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 ›Median household income
$163,995
in the top 2.6% nationally
Higher is healthier
ST91stUS97thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Natural-disaster risk
in the top 1.2% nationally
Lower is healthier
ST96thUS99thDefinition & 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 ›High blood pressure
22.6%
in the bottom 1.9% nationally
Lower is healthier
ST3rdUS2ndDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Dental provider access
1.5 per 1,000 residents
in the top 2.6% nationally
Higher is healthier
ST93rdUS97thDefinition & source ›
The number of dental offices located inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Energy-cost burden
0.79%
in the bottom 0.5% nationally
Lower is healthier
ST2ndUS1stDefinition & 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 ›Floodplain exposure
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
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 ›Walkability
180 intersections/sq mi
in the top 3.3% nationally
Higher is healthier
ST93rdUS97thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Households without a vehicle
22.7%
in the top 3.7% nationally
Lower is healthier
ST97thUS96thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›The read
ZIP 94118, one of several in San Francisco, California ranks in the top 1.3% healthiest ZIPs nationally (413th) and the top 3.9% of California (67th).
Several signals sit on each side of the ledger here: modeled obesity lies in the bottom 0.09% nationally, and household income is in the top 2.6% nationally. Modeled high blood pressure registers in the bottom 1.9% nationally, and dental providers lies in the top 2.6% nationally. Modeled energy burden is in the bottom 0.5% nationally, floodplain exposure registers at the national minimum, and walkability lies in the top 3.3% nationally. Working the other way, modeled expected annual loss is in the top 0.2% nationally, modeled disaster risk registers in the top 1.2% nationally, and households without a vehicle lies in the top 3.7% nationally.
Against its neighbors, expected annual loss runs far higher than the surrounding ZIPs on this measure. For context, 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. The closest ZIP that ranks healthier overall is ZIP 94129, 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
healthier than 96%
16%
Environmental Hazard
healthier than 85%
14%
Risk Behavior
healthier than 88%
11%
Mental Health
healthier than 79%
8%
Disability
healthier than 97%
7%
Climate / Disaster Risk
healthier than 92%
5%
Healthcare Access
healthier than 94%
5%
About typical
Preventive Care
healthier than 50%
13%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 96%
21%
Social Need / SDOH
healthier than 94%
16%
Environmental Hazard
healthier than 90%
14%
Preventive Care
healthier than 70%
13%
Risk Behavior
healthier than 76%
11%
Mental Health
healthier than 77%
8%
Disability
healthier than 96%
7%
Climate / Disaster Risk
healthier than 85%
5%
Healthcare Access
healthier than 89%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 91%
21%
Social Need / SDOH
healthier than 71%
16%
Environmental Hazard
healthier than 79%
14%
Disability
healthier than 87%
7%
Climate / Disaster Risk
healthier than 73%
5%
Healthcare Access
healthier than 87%
5%
About typical
Preventive Care
healthier than 50%
13%
Risk Behavior
healthier than 43%
11%
Mental Health
healthier than 41%
8%
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 ›
Findings that name this ZIP
2 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.
Above what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 85.3 ± 1.4 years. A median household income of $163,995 predicts 82.0 years — 3.2 years above.
Ranked #371 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Above its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 85.3 ± 1.4 years. The 48 nearest ZIP codes with estimates average 81.4 years — 3.9 years above them.
Ranked #412 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
94115
Californiashares a border
Score 68.41
Closest healthier
94129
Californiashares a border
Score 74.46
Similar health profile
53719
Wisconsin99% similar profile
Score 68.76
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 | 15.6% | 13.7–17.7 |
| High blood pressure among adults | 22.6% | 20.0–25.6 |
| Cancer (non-skin) or melanoma among adults | 5.9% | 5.3–6.5 |
| Current asthma among adults | 8.8% | 7.8–9.9 |
| Coronary heart disease among adults | 3.9% | 3.5–4.3 |
| Chronic obstructive pulmonary disease among adults | 3.1% | 2.7–3.5 |
| Depression among adults | 21.5% | 18.8–24.6 |
| Diagnosed diabetes among adults | 7.5% | 6.5–8.6 |
| High cholesterol among adults who have ever been screened | 31.8% | 28.6–35.3 |
| Obesity among adults | 15.5% | 12.4–19.3 |
| Stroke among adults | 2.1% | 1.9–2.2 |
| All teeth lost among adults aged >=65 years | 6.1% | 4.9–7.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 4.6% | 3.9–5.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 69.6% | 66.6–72.6 |
| Visits to doctor for routine checkup within the past year among adults | 71.7% | 68.3–75.1 |
| Cholesterol screening among adults | 86.5% | 84.9–88.1 |
| Colorectal cancer screening among adults aged 45–75 years | 64.9% | 60.4–69.3 |
| Visited dentist or dental clinic in the past year among adults | 71.7% | 68.9–74.4 |
| Mammography use among women aged 50-74 years | 81.0% | 74.9–86.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 20.5% | 17.7–23.6 |
| Current cigarette smoking among adults | 6.9% | 5.9–8.0 |
| No leisure-time physical activity among adults | 15.2% | 12.8–17.8 |
| Short sleep duration among adults | 30.6% | 26.2–35.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 13.0% | 11.3–14.7 |
| Frequent mental distress among adults | 14.4% | 12.9–16.1 |
| Frequent physical distress among adults | 8.9% | 7.8–10.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 10.9% | 9.7–12.2 |
| Any disability among adults | 21.6% | 18.8–24.6 |
| Hearing disability among adults | 4.3% | 3.9–4.9 |
| Independent living disability among adults | 5.3% | 4.7–5.9 |
| Mobility disability among adults | 7.8% | 6.7–8.9 |
| Self-care disability among adults | 2.0% | 1.8–2.2 |
| Vision disability among adults | 3.0% | 2.8–3.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.5% | 22.2–28.8 |
| Food insecurity in the past 12 months among adults | 9.0% | 7.7–10.5 |
| Received food stamps in the past 12 months among adults | 6.8% | 5.8–7.9 |
| Housing insecurity in the past 12 months among adults | 7.6% | 6.5–8.7 |
| Lack of reliable transportation in the past 12 months among adults | 5.6% | 5.0–6.3 |
| Loneliness among adults | 38.1% | 33.7–42.7 |
| Utility services shut-off threat in the past 12 months among adults | 4.0% | 3.4–4.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 5.9% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 2.8% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 6.2% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 73.5% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 4.6% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 22.7% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 94.0% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 29.4% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 35.1% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 2.1% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 24.0% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 49.3% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 17.1% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 38.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $163,995 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $1,784,700 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $2,721 | $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 | 85.2 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 85.2, 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