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ZipVitals

ZIP code

94117

in San Francisco, CaliforniaPopulation 36,198

68.96/ 100

Ranked #770 of 32,066 US ZIPs (top 2.5%)

Ranked #117 of 1,719 California ZIPs (top 6.9%)

Ranked #55 of 174 San Francisco-Oakland-Fremont, CA ZIPs (top 32%)

Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.

Robust across all 9 health domains

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.

Binge drinking

25%

in the top 0.6% nationally

Lower is healthier

ST99th
US99th
Definition & 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 ›

Obesity

18%

in the bottom 0.5% nationally

Lower is healthier

ST3rd
US1st
Definition & source ›

The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.

Full methodology ›

Median household income

$167,066

in the top 2.5% nationally

Higher is healthier

ST91st
US98th
Definition & source ›

The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.

Full methodology ›

Expected annual disaster loss

$1

in the top 0.6% nationally

Lower is healthier

ST96th
US99th
Definition & 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 ›

High blood pressure

20.4%

in the bottom 1.4% nationally

Lower is healthier

ST2nd
US1st
Definition & source ›

The estimated share of adults who have been told by a health professional that they have high blood pressure.

Full methodology ›

High cholesterol

28.2%

in the bottom 2.1% nationally

Lower is healthier

ST3rd
US2nd
Definition & source ›

The estimated share of adults with high cholesterol, among those who have ever been screened for it.

Full methodology ›

Coronary heart disease

3.2%

in the bottom 1.7% nationally

Lower is healthier

ST3rd
US2nd
Definition & source ›

The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.

Full methodology ›

Energy-cost burden

0.63%

in the bottom 0.2% nationally

Lower is healthier

ST1st
US1st
Definition & 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 ›

Households without a vehicle

33.3%

in the top 2.1% nationally

Lower is healthier

ST98th
US98th
Definition & source ›

The share of households with no vehicle available.

Full methodology ›

Diabetes

5.9%

in the bottom 1.5% nationally

Lower is healthier

ST2nd
US1st
Definition & source ›

The estimated share of adults who have been diagnosed with diabetes.

Full methodology ›

The read

ZIP 94117, one of several in San Francisco, California ranks in the top 2.5% healthiest ZIPs nationally (770th) and the top 6.9% of California (117th).

continue reading

A profile of give and take, with clear readings each way: modeled obesity sits in the bottom 0.5% nationally, and household income resides in the top 2.5% nationally. Modeled high blood pressure stands in the bottom 1.4% nationally, and high cholesterol sits in the bottom 2.1% nationally. Modeled coronary heart disease resides in the bottom 1.7% nationally, energy burden stands in the bottom 0.2% nationally, and diabetes sits in the bottom 1.5% nationally. On the other side, modeled binge drinking resides in the top 0.6% nationally, modeled expected annual loss stands in the top 0.6% nationally, and households without a vehicle sits in the top 2.1% nationally.

Against its neighbors, park land 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. Energy burden is the share of household income that goes to home energy bills. The closest ZIP that ranks healthier overall is ZIP 94114, 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.

Compare within

Lifting this score

Chronic Disease Burden

healthier than 99%

21%

Social Need / SDOH

healthier than 93%

16%

Risk Behavior

healthier than 80%

11%

Disability

healthier than 99%

7%

Climate / Disaster Risk

healthier than 92%

5%

Healthcare Access

in the top 0.00%

5%

About typical

Environmental Hazard

healthier than 44%

14%

Mental Health

healthier than 59%

8%

Holding it back

Preventive Care

healthier than 36%

13%

Lifting this score

Chronic Disease Burden

healthier than 98%

21%

Social Need / SDOH

healthier than 89%

16%

Environmental Hazard

healthier than 70%

14%

Risk Behavior

healthier than 60%

11%

Disability

healthier than 98%

7%

Climate / Disaster Risk

healthier than 85%

5%

Healthcare Access

in the top 0.00%

5%

About typical

Preventive Care

healthier than 58%

13%

Mental Health

healthier than 53%

8%

Nothing measured is holding this score back.

Lifting this score

Chronic Disease Burden

healthier than 94%

21%

Disability

healthier than 93%

7%

Climate / Disaster Risk

healthier than 73%

5%

Healthcare Access

in the top 0.00%

5%

About typical

Social Need / SDOH

healthier than 59%

16%

Environmental Hazard

healthier than 41%

14%

Holding it back

Preventive Care

healthier than 39%

13%

Risk Behavior

healthier than 31%

11%

Mental Health

healthier than 16%

8%

“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

One of our published findings lists 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.

  • Heavy environment, light chronic burden

    Where the environment and chronic illness point in opposite directions

    Environmental-hazard standing 44.1; chronic-disease standing 98.9 (top 10%) — 55 points apart, heavier on the environment than it is on chronic illness.

    Ranked #14,886 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.

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
MeasureCrude prevalence95% CI
Arthritis among adults14.0%12.2–15.9
High blood pressure among adults20.4%18.0–23.1
Cancer (non-skin) or melanoma among adults5.4%4.9–6.0
Current asthma among adults9.2%8.2–10.4
Coronary heart disease among adults3.2%2.9–3.5
Chronic obstructive pulmonary disease among adults2.8%2.5–3.2
Depression among adults23.9%20.9–27.2
Diagnosed diabetes among adults5.9%5.1–6.7
High cholesterol among adults who have ever been screened28.2%25.2–31.7
Obesity among adults18.0%14.5–22.2
Stroke among adults1.7%1.6–1.8
All teeth lost among adults aged >=65 years4.6%3.7–5.7
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years4.4%3.8–5.2
Taking medicine to control high blood pressure among adults with high blood pressure63.3%60.1–66.6
Visits to doctor for routine checkup within the past year among adults69.1%65.4–72.7
Cholesterol screening among adults86.1%84.5–87.8
Colorectal cancer screening among adults aged 45–75 years64.8%60.3–69.2
Visited dentist or dental clinic in the past year among adults72.7%69.8–75.4
Mammography use among women aged 50-74 years81.1%75.0–86.3
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults25.0%21.7–28.6
Current cigarette smoking among adults7.1%6.0–8.4
No leisure-time physical activity among adults12.7%10.6–15.0
Short sleep duration among adults30.7%26.4–35.5
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults11.8%10.4–13.5
Frequent mental distress among adults15.2%13.5–17.0
Frequent physical distress among adults8.4%7.4–9.5
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults11.0%9.7–12.4
Any disability among adults19.9%17.4–22.8
Hearing disability among adults3.7%3.3–4.1
Independent living disability among adults5.0%4.4–5.6
Mobility disability among adults6.4%5.6–7.3
Self-care disability among adults1.9%1.7–2.1
Vision disability among adults2.7%2.4–2.9
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults23.1%20.1–26.3
Food insecurity in the past 12 months among adults8.1%6.9–9.5
Received food stamps in the past 12 months among adults6.9%5.7–8.0
Housing insecurity in the past 12 months among adults7.9%6.7–9.1
Lack of reliable transportation in the past 12 months among adults5.5%4.8–6.2
Loneliness among adults36.7%32.2–41.2
Utility services shut-off threat in the past 12 months among adults4.5%3.8–5.1
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)CA median (p10–p90)
Poverty rate9.5%10.6% (3.1–25.8%) n=32,36410.6% (4.1–24.9%) n=1,714
Uninsured 18–642.4%9.0% (1.5–24.3%) n=32,2867.7% (1.7–17.9%) n=1,704
No HS diploma (25+)3.3%7.9% (1.8–20.7%) n=32,5059.8% (1.4–30.9%) n=1,729
Bachelor's or higher (25+)79.0%23.3% (9.2–53.6%) n=32,50531.3% (9.9–68.2%) n=1,729
Unemployment rate (16+)3.7%3.9% (0.0–9.8%) n=32,2746.1% (0.8–12.0%) n=1,714
Households without a vehicle33.3%3.9% (0.0–12.5%) n=32,3224.5% (0.0–12.2%) n=1,708
Broadband subscription96.0%89.3% (75.1–97.1%) n=32,32293.4% (82.1–98.4%) n=1,708
Housing cost burden (≥30% income)30.5%23.7% (10.6–40.0%) n=32,32238.6% (24.4–50.5%) n=1,708
Homeownership rate28.8%78.7% (51.7–94.0%) n=32,32264.1% (31.9–86.4%) n=1,708
Crowded housing (>1 per room)2.1%1.3% (0.0–6.3%) n=32,3224.8% (0.0–15.9%) n=1,708
Foreign-born population15.8%2.6% (0.0–18.6%) n=32,55318.9% (3.0–40.4%) n=1,730
Single-parent households54.4%53.6% (37.3–74.1%) n=32,08748.4% (35.1–72.3%) n=1,692
Population 65+11.7%19.4% (10.8–33.6%) n=32,55317.0% (9.7–35.7%) n=1,730
Median age35.2 yr42.2 yr (33.0–56.3) n=32,29240.1 yr (31.8–57.0) n=1,712
Median household income$167,066$72,070 ($46,039–$118,707) n=30,318$93,448 ($54,188–$159,562) n=1,584
Median home value$1,601,100$222,200 ($100,300–$579,820) n=30,049$659,800 ($300,520–$1,493,340) n=1,593
Median gross rent$2,881$1,021 ($677–$1,912) n=25,670$1,912 ($1,113–$2,923) n=1,461
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)CA median (p10–p90)
Life expectancy at birth81.7 yr ± 0.7478.9 yr (74.7–82.8) n=31,30880.5 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 0.74 years of 81.7, and it’s very unlikely to be off by more than twice that.

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