ZIP code
94122
in San Francisco, CaliforniaPopulation 55,819
70.40/ 100
Ranked #517 of 32,066 US ZIPs (top 1.7%)
Ranked #82 of 1,719 California ZIPs (top 4.8%)
Ranked #42 of 174 San Francisco-Oakland-Fremont, CA ZIPs (top 24%)
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
15.1%
in the bottom 0.06% 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 2.1% nationally
Lower is healthier
ST87thUS98thDefinition & 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
$146,250
in the top 4.3% nationally
Higher is healthier
ST86thUS96thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›High blood pressure
24.9%
in the bottom 2.8% nationally
Lower is healthier
ST6thUS3rdDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
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 ›Energy-cost burden
0.94%
in the bottom 0.8% nationally
Lower is healthier
ST3rdUS1stDefinition & 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 ›Utility shut-off threat
4.0%
in the bottom 3.8% nationally
Lower is healthier
ST10thUS4thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Natural-disaster risk
in the top 4.3% nationally
Lower is healthier
ST83rdUS96thDefinition & 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 ›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 ›Walkability
160 intersections/sq mi
in the top 4.6% nationally
Higher is healthier
ST88thUS95thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›The read
Overall, ZIP 94122, one of several in San Francisco, California places in the top 1.7% healthiest ZIPs nationally (517th) and the top 4.8% of California (82nd).
The measures fall on both sides for this area, fairly evenly: modeled obesity settles in the bottom 0.06% nationally, and household income sits in the top 4.3% nationally. Modeled high blood pressure lies in the bottom 2.8% nationally, and floodplain exposure rests at the national minimum. Modeled energy burden resides in the bottom 0.8% nationally, modeled utility shutoff is in the bottom 3.8% nationally, and lead in tap water lands at the national minimum. Walkability stands in the top 4.6% nationally. Pulling the other way, modeled expected annual loss registers in the top 2.1% nationally, and disaster risk settles in the top 4.3% nationally.
Beside the areas that surround it, park land runs far higher than the surrounding ZIPs on this measure. For readers new to these terms, 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. Lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Among nearby ZIPs, the nearest healthier one overall is ZIP 94116, 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 89%
16%
Environmental Hazard
healthier than 92%
14%
Risk Behavior
healthier than 88%
11%
Mental Health
healthier than 90%
8%
Disability
healthier than 96%
7%
Climate / Disaster Risk
healthier than 92%
5%
Healthcare Access
healthier than 94%
5%
About typical
Preventive Care
healthier than 48%
13%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 95%
21%
Social Need / SDOH
healthier than 85%
16%
Environmental Hazard
healthier than 93%
14%
Preventive Care
healthier than 69%
13%
Risk Behavior
healthier than 75%
11%
Mental Health
healthier than 90%
8%
Disability
healthier than 94%
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 86%
21%
Environmental Hazard
healthier than 88%
14%
Mental Health
healthier than 70%
8%
Disability
healthier than 77%
7%
Climate / Disaster Risk
healthier than 73%
5%
Healthcare Access
healthier than 85%
5%
About typical
Social Need / SDOH
healthier than 48%
16%
Preventive Care
healthier than 49%
13%
Risk Behavior
healthier than 43%
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 85.1 ± 1.2 years. A median household income of $146,250 predicts 81.6 years — 3.5 years above.
Ranked #284 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 85.1 ± 1.2 years. The 48 nearest ZIP codes with estimates average 81.5 years — 3.6 years above them.
Ranked #497 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
94116
Californiashares a border
Score 71.06
Closest healthier
94118
Californiashares a border
Score 71.02
Similar health profile
07764
New Jersey99% similar profile
Score 65.80
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 | 16.4% | 14.4–18.6 |
| High blood pressure among adults | 24.9% | 22.1–28.0 |
| Cancer (non-skin) or melanoma among adults | 5.7% | 5.2–6.3 |
| Current asthma among adults | 8.3% | 7.3–9.3 |
| Coronary heart disease among adults | 4.3% | 3.9–4.8 |
| Chronic obstructive pulmonary disease among adults | 3.4% | 3.0–3.8 |
| Depression among adults | 19.5% | 16.9–22.4 |
| Diagnosed diabetes among adults | 9.2% | 8.1–10.5 |
| High cholesterol among adults who have ever been screened | 34.6% | 31.3–38.3 |
| Obesity among adults | 15.1% | 12.1–18.8 |
| Stroke among adults | 2.3% | 2.2–2.5 |
| All teeth lost among adults aged >=65 years | 6.1% | 4.9–7.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.0% | 4.3–5.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 71.8% | 68.8–74.7 |
| Visits to doctor for routine checkup within the past year among adults | 72.6% | 69.3–76.0 |
| Cholesterol screening among adults | 87.4% | 85.8–88.8 |
| Colorectal cancer screening among adults aged 45–75 years | 63.0% | 58.3–67.6 |
| Visited dentist or dental clinic in the past year among adults | 69.6% | 66.7–72.5 |
| Mammography use among women aged 50-74 years | 79.4% | 73.0–85.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.4% | 15.9–21.4 |
| Current cigarette smoking among adults | 7.8% | 6.7–9.1 |
| No leisure-time physical activity among adults | 17.6% | 14.9–20.6 |
| Short sleep duration among adults | 31.6% | 27.2–36.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 14.5% | 12.8–16.4 |
| Frequent mental distress among adults | 13.5% | 12.1–15.1 |
| Frequent physical distress among adults | 9.5% | 8.4–10.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 10.5% | 9.4–11.8 |
| Any disability among adults | 22.3% | 19.6–25.4 |
| Hearing disability among adults | 4.7% | 4.2–5.3 |
| Independent living disability among adults | 5.4% | 4.8–6.0 |
| Mobility disability among adults | 8.9% | 7.8–10.2 |
| Self-care disability among adults | 2.2% | 2.0–2.4 |
| Vision disability among adults | 3.4% | 3.1–3.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 27.6% | 24.2–31.2 |
| Food insecurity in the past 12 months among adults | 10.3% | 8.8–11.8 |
| Received food stamps in the past 12 months among adults | 7.6% | 6.5–8.7 |
| Housing insecurity in the past 12 months among adults | 7.9% | 6.9–9.1 |
| Lack of reliable transportation in the past 12 months among adults | 5.7% | 5.1–6.4 |
| Loneliness among adults | 38.1% | 33.7–42.7 |
| Utility services shut-off threat in the past 12 months among adults | 4.0% | 3.5–4.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 8.5% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 2.5% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 10.5% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 62.1% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 6.4% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 16.1% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 93.9% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 34.3% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 48.2% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 2.8% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 35.5% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 50.9% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 20.8% | 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 | $146,250 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $1,517,700 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $2,816 | $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 | 85.1 yr ± 0.62 | 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 0.62 years of 85.1, 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