ZIP code
94517
in Clayton, CaliforniaPopulation 12,316
66.06/ 100
Ranked #1,593 of 32,066 US ZIPs (top 5.0%)
Ranked #230 of 1,719 California ZIPs (top 13.4%)
Ranked #85 of 174 San Francisco-Oakland-Fremont, CA ZIPs (top 49%)
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
$168,921
in the top 2.3% nationally
Higher is healthier
ST92ndUS98thDefinition & 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
3.9%
in the bottom 3.3% nationally
Lower is healthier
ST9thUS3rdDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Park land
32.2%
in the top 4.4% nationally
Higher is healthier
ST86thUS96thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Food insecurity
7.3%
in the bottom 4.7% nationally
Lower is healthier
ST6thUS5thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Obesity
26.7%
in the bottom 8.5% nationally
Lower is healthier
ST37thUS8thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Home broadband subscription
98.5%
in the top 6.6% nationally
Higher is healthier
ST91stUS93rdDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Lack of transportation
4.9%
in the bottom 6.7% nationally
Lower is healthier
ST7thUS7thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Housing insecurity
7.0%
in the bottom 7.4% nationally
Lower is healthier
ST7thUS7thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Natural-disaster risk
in the top 8.1% nationally
Lower is healthier
ST66thUS92ndDefinition & 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 ›Tooth loss
5.5%
in the bottom 3.3% nationally
Lower is healthier
ST12thUS3rdDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›The read
Clayton, California (ZIP 94517), by its overall standing, sits in the top 5.0% healthiest ZIPs nationally (1,593rd) and the top 13.4% of California (230th).
The measures fall on both sides of the ledger for this area: household income stands in the top 2.3% nationally, modeled utility shutoff lands in the bottom 3.3% nationally, and park land is in the top 4.4% nationally. Modeled food insecurity resides in the bottom 4.7% nationally, modeled obesity rests in the bottom 8.5% nationally, and home broadband subscription lies in the top 6.6% nationally. Modeled transportation sits in the bottom 6.7% nationally, and housing insecurity settles in the bottom 7.4% nationally. Modeled tooth loss registers in the bottom 3.3% nationally. Set against that, modeled disaster risk stands in the top 8.1% nationally.
Held up against its neighbors, park land runs far higher than the surrounding ZIPs on this measure. Defined in plain terms, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. The nearest ZIP ranking healthier overall is ZIP 94588, 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 82%
21%
Social Need / SDOH
healthier than 95%
16%
Environmental Hazard
healthier than 63%
14%
Preventive Care
healthier than 85%
13%
Risk Behavior
healthier than 93%
11%
Mental Health
healthier than 83%
8%
Disability
healthier than 89%
7%
Climate / Disaster Risk
healthier than 86%
5%
About typical
Healthcare Access
healthier than 49%
5%
Nothing measured is holding this score back.
Lifting this score
Social Need / SDOH
healthier than 93%
16%
Environmental Hazard
healthier than 80%
14%
Preventive Care
healthier than 93%
13%
Risk Behavior
healthier than 87%
11%
Mental Health
healthier than 82%
8%
Disability
healthier than 85%
7%
Climate / Disaster Risk
healthier than 69%
5%
About typical
Chronic Disease Burden
healthier than 52%
21%
Holding it back
Healthcare Access
healthier than 31%
5%
Lifting this score
Social Need / SDOH
healthier than 68%
16%
Environmental Hazard
healthier than 62%
14%
Preventive Care
healthier than 83%
13%
About typical
Risk Behavior
healthier than 59%
11%
Mental Health
healthier than 52%
8%
Disability
healthier than 52%
7%
Climate / Disaster Risk
healthier than 43%
5%
Holding it back
Chronic Disease Burden
healthier than 18%
21%
Healthcare Access
healthier than 12%
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 ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
94513
Californiashares a border
Score 59.16
Closest healthier
94588
Californiashares a border
Score 72.39
Similar health profile
92014
California99% similar profile
Score 74.70
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 | 25.7% | 23.0–28.6 |
| High blood pressure among adults | 32.3% | 29.0–35.7 |
| Cancer (non-skin) or melanoma among adults | 10.1% | 9.2–11.0 |
| Current asthma among adults | 9.8% | 8.6–11.0 |
| Coronary heart disease among adults | 5.8% | 5.2–6.5 |
| Chronic obstructive pulmonary disease among adults | 4.8% | 4.2–5.5 |
| Depression among adults | 20.7% | 17.9–23.7 |
| Diagnosed diabetes among adults | 9.9% | 8.6–11.4 |
| High cholesterol among adults who have ever been screened | 38.3% | 34.7–42.0 |
| Obesity among adults | 26.7% | 22.2–31.4 |
| Stroke among adults | 3.0% | 2.7–3.3 |
| All teeth lost among adults aged >=65 years | 5.5% | 4.3–6.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 4.1% | 3.5–4.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.3% | 71.8–78.5 |
| Visits to doctor for routine checkup within the past year among adults | 75.5% | 72.1–78.5 |
| Cholesterol screening among adults | 90.7% | 89.4–91.8 |
| Colorectal cancer screening among adults aged 45–75 years | 70.7% | 66.5–74.6 |
| Visited dentist or dental clinic in the past year among adults | 76.1% | 73.5–78.7 |
| Mammography use among women aged 50-74 years | 78.0% | 71.6–83.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.0% | 13.4–18.6 |
| Current cigarette smoking among adults | 7.8% | 6.6–9.2 |
| No leisure-time physical activity among adults | 18.5% | 15.8–21.5 |
| Short sleep duration among adults | 31.3% | 27.0–35.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 14.8% | 13.0–16.8 |
| Frequent mental distress among adults | 14.3% | 12.6–16.0 |
| Frequent physical distress among adults | 11.5% | 10.2–13.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 10.3% | 9.1–11.6 |
| Any disability among adults | 25.0% | 22.1–28.3 |
| Hearing disability among adults | 6.2% | 5.5–7.0 |
| Independent living disability among adults | 6.1% | 5.4–6.8 |
| Mobility disability among adults | 11.3% | 9.8–12.9 |
| Self-care disability among adults | 2.8% | 2.5–3.1 |
| Vision disability among adults | 3.4% | 3.1–3.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.6% | 17.8–23.5 |
| Food insecurity in the past 12 months among adults | 7.3% | 6.1–8.6 |
| Received food stamps in the past 12 months among adults | 6.3% | 5.2–7.4 |
| Housing insecurity in the past 12 months among adults | 7.0% | 5.9–8.2 |
| Lack of reliable transportation in the past 12 months among adults | 4.9% | 4.3–5.6 |
| Loneliness among adults | 31.6% | 27.8–35.6 |
| Utility services shut-off threat in the past 12 months among adults | 3.9% | 3.3–4.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 4.4% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 2.1% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 1.2% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 58.1% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 7.2% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 3.4% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 98.5% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 35.2% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 89.2% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 0.2% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 12.4% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 49.6% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 16.5% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 43.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $168,921 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $1,032,100 | $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 | 82.6 yr ± 0.84 | 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 0.84 years of 82.6, 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