ZIP code
94105
in San Francisco, CaliforniaPopulation 13,861
72.17/ 100
Ranked #254 of 32,066 US ZIPs (top 0.8%)
Ranked #38 of 1,719 California ZIPs (top 2.3%)
Ranked #16 of 174 San Francisco-Oakland-Fremont, CA ZIPs (top 9.2%)
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.
Median household income
$225,000
in the top 0.7% nationally
Higher is healthier
ST98thUS99thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Obesity
14.9%
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 ›High blood pressure
17.5%
in the bottom 1.0% nationally
Lower is healthier
ST2ndUS1stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Loud transportation noise
12.8%
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 ›Civic-institution access
2.6 per 1,000 residents
in the top 0.6% nationally
Higher is healthier
ST98thUS99thDefinition & source ›
The number of civic and social organizations 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 ›Coronary heart disease
2.4%
in the bottom 1.2% nationally
Lower is healthier
ST2ndUS1stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Binge drinking
22.5%
in the top 1.5% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.
Full methodology ›Hearing disability
2.8%
in the bottom 0.7% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Transportation noise
36.4%
in the top 0.9% nationally
Lower is healthier
ST98thUS99thDefinition & 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 ›High cholesterol
27.1%
in the bottom 1.7% nationally
Lower is healthier
ST2ndUS2ndDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Cross-source signals
Combined exposures in this ZIP
More than one environmental exposure stands out in this ZIP. Each is established independently and shown on its own above; they are grouped here for context — not because one causes the other.
This area ranks among the highest 10% of US ZIP codes for both flood exposure and the share of households without a vehicle.
See the full flooding, evacuation & humid-heat analysis →
The read
By the composite health measure, ZIP 94105, one of several in San Francisco, California ranks in the top 0.8% healthiest ZIPs nationally (254th) and the top 2.3% of California (38th).
The signals balance out across the profile, strengths against concerns: household income lands in the top 0.7% nationally, and modeled obesity sits in the bottom 0.06% nationally. Modeled high blood pressure is in the bottom 1.0% nationally, and civic settles in the top 0.6% nationally. Modeled coronary heart disease resides in the bottom 1.2% nationally, hearing disability registers in the bottom 0.7% nationally, and high cholesterol rests in the bottom 1.7% nationally. Set against that, modeled loud transportation noise stands in the top 0.2% nationally, binge drinking lies in the top 1.5% nationally, and transportation noise lands in the top 0.9% nationally.
Read against the ZIPs closest to it, loud transportation noise runs far higher than the surrounding ZIPs on this measure. To spell things out, loud transportation noise is the modeled share of an area exposed to road, rail, and air noise at or above 65 decibels, near conversation volume. Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. Close by, ZIP 94129, about 1.5 miles away, 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
in the top 0.4%
21%
Social Need / SDOH
in the top 0.6%
16%
Risk Behavior
healthier than 86%
11%
Mental Health
healthier than 90%
8%
Disability
in the top 0.2%
7%
Healthcare Access
healthier than 85%
5%
Holding it back
Environmental Hazard
healthier than 24%
14%
Preventive Care
healthier than 26%
13%
Climate / Disaster Risk
healthier than 17%
5%
Lifting this score
Chronic Disease Burden
healthier than 99%
21%
Social Need / SDOH
in the top 0.9%
16%
Risk Behavior
healthier than 71%
11%
Mental Health
healthier than 90%
8%
Disability
in the top 0.2%
7%
Healthcare Access
healthier than 69%
5%
About typical
Environmental Hazard
healthier than 55%
14%
Preventive Care
healthier than 48%
13%
Holding it back
Climate / Disaster Risk
healthier than 15%
5%
Lifting this score
Chronic Disease Burden
in the top 0.6%
21%
Social Need / SDOH
healthier than 95%
16%
Mental Health
healthier than 69%
8%
Disability
in the top 0.6%
7%
About typical
Healthcare Access
healthier than 57%
5%
Holding it back
Environmental Hazard
healthier than 16%
14%
Preventive Care
healthier than 31%
13%
Risk Behavior
healthier than 39%
11%
Climate / Disaster Risk
healthier than 8%
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 ›
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.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 80.8 ± 1.8 years. A median household income of $225,000 predicts 83.3 years — 2.5 years below.
Ranked #3,466 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 23.7; chronic-disease standing 99.7 (top 1%) — 76 points apart, heavier on the environment than it is on chronic illness.
Ranked #16,921 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
94103
Californiashares a border
Score 65.22
Closest healthier
94129
Californiaabout 1.5 mi away
Score 74.46
Similar health profile
67701
Kansas99% similar profile
Score 53.80
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 | 10.6% | 9.3–12.2 |
| High blood pressure among adults | 17.5% | 15.4–20.2 |
| Cancer (non-skin) or melanoma among adults | 3.9% | 3.5–4.3 |
| Current asthma among adults | 7.9% | 7.0–8.9 |
| Coronary heart disease among adults | 2.4% | 2.1–2.6 |
| Chronic obstructive pulmonary disease among adults | 2.1% | 1.8–2.3 |
| Depression among adults | 19.7% | 17.1–22.6 |
| Diagnosed diabetes among adults | 5.3% | 4.6–6.2 |
| High cholesterol among adults who have ever been screened | 27.1% | 24.1–30.4 |
| Obesity among adults | 14.9% | 11.9–18.5 |
| Stroke among adults | 1.3% | 1.2–1.4 |
| All teeth lost among adults aged >=65 years | 4.2% | 3.3–5.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 4.0% | 3.4–4.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 59.1% | 55.4–62.8 |
| Visits to doctor for routine checkup within the past year among adults | 68.1% | 64.3–71.9 |
| Cholesterol screening among adults | 85.7% | 83.9–87.4 |
| Colorectal cancer screening among adults aged 45–75 years | 62.1% | 57.5–66.8 |
| Visited dentist or dental clinic in the past year among adults | 72.5% | 69.7–75.2 |
| Mammography use among women aged 50-74 years | 81.1% | 74.9–86.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 22.5% | 19.5–26.0 |
| Current cigarette smoking among adults | 6.1% | 5.2–7.3 |
| No leisure-time physical activity among adults | 12.5% | 10.5–15.0 |
| 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 | 10.5% | 9.1–12.0 |
| Frequent mental distress among adults | 13.4% | 11.9–15.1 |
| Frequent physical distress among adults | 7.1% | 6.3–8.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 9.4% | 8.3–10.6 |
| Any disability among adults | 16.7% | 14.5–19.4 |
| Hearing disability among adults | 2.8% | 2.5–3.2 |
| Independent living disability among adults | 4.0% | 3.6–4.5 |
| Mobility disability among adults | 5.0% | 4.3–5.7 |
| Self-care disability among adults | 1.5% | 1.3–1.6 |
| Vision disability among adults | 2.3% | 2.1–2.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 26.4% | 23.0–29.7 |
| Food insecurity in the past 12 months among adults | 8.1% | 6.8–9.7 |
| Received food stamps in the past 12 months among adults | 5.8% | 4.9–6.9 |
| Housing insecurity in the past 12 months among adults | 7.3% | 6.2–8.5 |
| Lack of reliable transportation in the past 12 months among adults | 5.1% | 4.5–5.8 |
| Loneliness among adults | 37.9% | 33.4–42.5 |
| 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 | 3.5% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 3.6% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 84.1% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 4.5% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 35.7% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 98.2% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 35.0% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 34.8% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 3.4% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 47.2% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 71.3% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 8.3% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 35.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $225,000 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $1,398,000 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $3,501 | $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 | 80.8 yr ± 0.90 | 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 0.90 years of 80.8, 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