ZIP code
94116
in San Francisco, CaliforniaPopulation 43,791
71.06/ 100
Ranked #406 of 32,066 US ZIPs (top 1.3%)
Ranked #66 of 1,719 California ZIPs (top 3.9%)
Ranked #33 of 174 San Francisco-Oakland-Fremont, CA ZIPs (top 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.
Obesity
14.4%
in the bottom 0.03% 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 ›Median household income
$158,921
in the top 3.0% nationally
Higher is healthier
ST90thUS97thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Utility shut-off threat
3.8%
in the bottom 2.8% nationally
Lower is healthier
ST8thUS3rdDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
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 3.4% nationally
Higher is healthier
ST92ndUS97thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Expected annual disaster loss
$0
in the top 3.8% nationally
Lower is healthier
ST80thUS96thDefinition & 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 ›Energy-cost burden
1.0%
in the bottom 1.1% nationally
Lower is healthier
ST5thUS1stDefinition & 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 ›Lead in tap water
0 ppb
at the national minimum
Lower is healthier
US1stDefinition & source ›
The lead level at the 90th percentile of tap-water samples reported by the public water systems serving this ZIP, in parts per billion — the EPA requires action above 15 ppb.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›Tree cover
0.00%
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Fatal road crashes
1.6 per 100,000 residents per year
in the bottom 5.7% nationally
Lower is healthier
ST5thUS6thDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
Full methodology ›The read
By the composite health measure, ZIP 94116, one of several in San Francisco, California ranks in the top 1.3% healthiest ZIPs nationally (406th) and the top 3.9% of California (66th).
The picture here is genuinely mixed, with readings on both sides: modeled obesity settles in the bottom 0.03% nationally, and household income resides in the top 3.0% nationally. Modeled utility shutoff registers in the bottom 2.8% nationally, and floodplain exposure rests at the national minimum. Walkability stands in the top 3.4% nationally, modeled energy burden lies in the bottom 1.1% nationally, and lead in tap water lands at the national minimum. Fatal road crashes sits in the bottom 5.7% nationally. On the other side, modeled expected annual loss is in the top 3.8% nationally, and tree cover settles at the national minimum.
Read against the ZIPs closest to it, expected annual loss runs far lower than the surrounding ZIPs on this measure. To spell things out, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". Close by, ZIP 94127, just across the boundary, ranks 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 96%
21%
Social Need / SDOH
healthier than 91%
16%
Environmental Hazard
healthier than 96%
14%
Preventive Care
healthier than 65%
13%
Risk Behavior
healthier than 92%
11%
Mental Health
healthier than 96%
8%
Disability
healthier than 93%
7%
Climate / Disaster Risk
healthier than 92%
5%
Healthcare Access
healthier than 91%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 89%
21%
Social Need / SDOH
healthier than 86%
16%
Environmental Hazard
healthier than 95%
14%
Preventive Care
healthier than 81%
13%
Risk Behavior
healthier than 85%
11%
Mental Health
healthier than 96%
8%
Disability
healthier than 91%
7%
Climate / Disaster Risk
healthier than 85%
5%
Healthcare Access
healthier than 83%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 72%
21%
Environmental Hazard
healthier than 92%
14%
Preventive Care
healthier than 68%
13%
Mental Health
healthier than 92%
8%
Disability
healthier than 66%
7%
Climate / Disaster Risk
healthier than 73%
5%
Healthcare Access
healthier than 76%
5%
About typical
Social Need / SDOH
healthier than 53%
16%
Risk Behavior
healthier than 57%
11%
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 84.9 ± 1.1 years. A median household income of $158,921 predicts 81.9 years — 3.0 years above.
Ranked #429 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 84.9 ± 1.1 years. The 48 nearest ZIP codes with estimates average 81.5 years — 3.5 years above them.
Ranked #575 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
94122
Californiashares a border
Score 70.40
Closest healthier
94127
Californiashares a border
Score 72.14
Similar health profile
94552
California99% similar profile
Score 70.52
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 | 18.3% | 16.2–20.8 |
| High blood pressure among adults | 27.8% | 24.9–31.2 |
| Cancer (non-skin) or melanoma among adults | 6.3% | 5.7–7.0 |
| Current asthma among adults | 7.9% | 7.0–8.9 |
| Coronary heart disease among adults | 5.0% | 4.5–5.6 |
| Chronic obstructive pulmonary disease among adults | 3.8% | 3.4–4.3 |
| Depression among adults | 17.7% | 15.4–20.3 |
| Diagnosed diabetes among adults | 10.9% | 9.5–12.5 |
| High cholesterol among adults who have ever been screened | 37.8% | 34.3–41.6 |
| Obesity among adults | 14.4% | 11.6–17.9 |
| Stroke among adults | 2.7% | 2.5–2.9 |
| All teeth lost among adults aged >=65 years | 7.7% | 6.2–9.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.0% | 4.3–5.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.2% | 72.2–78.2 |
| Visits to doctor for routine checkup within the past year among adults | 74.7% | 71.5–78.0 |
| Cholesterol screening among adults | 88.5% | 87.1–89.8 |
| Colorectal cancer screening among adults aged 45–75 years | 63.8% | 59.2–68.3 |
| Visited dentist or dental clinic in the past year among adults | 69.2% | 66.2–72.0 |
| Mammography use among women aged 50-74 years | 80.3% | 74.0–85.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.9% | 13.7–18.6 |
| Current cigarette smoking among adults | 7.9% | 6.8–9.3 |
| No leisure-time physical activity among adults | 19.3% | 16.6–22.6 |
| Short sleep duration among adults | 31.6% | 27.2–36.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 15.5% | 13.7–17.6 |
| Frequent mental distress among adults | 12.6% | 11.2–14.1 |
| Frequent physical distress among adults | 10.0% | 8.9–11.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 10.1% | 9.0–11.3 |
| Any disability among adults | 23.4% | 20.6–26.5 |
| Hearing disability among adults | 5.3% | 4.7–5.9 |
| Independent living disability among adults | 5.4% | 4.9–6.1 |
| Mobility disability among adults | 10.2% | 8.9–11.6 |
| Self-care disability among adults | 2.4% | 2.2–2.6 |
| Vision disability among adults | 3.7% | 3.4–4.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 28.6% | 25.2–32.2 |
| Food insecurity in the past 12 months among adults | 10.6% | 9.1–12.2 |
| Received food stamps in the past 12 months among adults | 7.5% | 6.4–8.7 |
| Housing insecurity in the past 12 months among adults | 7.6% | 6.5–8.8 |
| Lack of reliable transportation in the past 12 months among adults | 5.6% | 4.9–6.3 |
| Loneliness among adults | 37.7% | 33.3–42.3 |
| Utility services shut-off threat in the past 12 months among adults | 3.8% | 3.3–4.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 7.2% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 3.4% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 10.2% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 57.1% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 5.2% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 11.0% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 94.3% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 27.5% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 73.1% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 4.4% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 38.9% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 52.7% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 23.5% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 45.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $158,921 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $1,502,700 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $2,999 | $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 | 84.9 yr ± 0.56 | 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 0.56 years of 84.9, 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