ZIP code
94528
in Diablo, CaliforniaPopulation 1,049
69.78/ 100
Ranked #629 of 32,066 US ZIPs (top 2.0%)
Ranked #97 of 1,719 California ZIPs (top 5.7%)
Ranked #49 of 174 San Francisco-Oakland-Fremont, CA ZIPs (top 28%)
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
$207,500
in the top 0.9% nationally
Higher is healthier
ST97thUS99thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Food insecurity
4.9%
in the bottom 0.3% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Utility shut-off threat
2.9%
in the bottom 0.4% nationally
Lower is healthier
ST2ndUS1stDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Housing insecurity
4.8%
in the bottom 0.5% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Lack of transportation
3.7%
in the bottom 0.8% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Civic-institution access
1.9 per 1,000 residents
in the top 1.2% nationally
Higher is healthier
ST97thUS99thDefinition & 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 ›Recreation access
1.9 per 1,000 residents
in the top 1.9% nationally
Higher is healthier
ST97thUS98thDefinition & source ›
The number of places for physical recreation — gyms, sports, and fitness venues — 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 ›Fatal road crashes
0 per 100,000 residents per year
at the national minimum
Lower is healthier
ST1stUS1stDefinition & 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 ›Housing-cost burden
53.3%
in the top 2.2% nationally
Lower is healthier
ST94thUS98thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Homeownership rate
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›The read
By the composite measure, Diablo, California (ZIP 94528) sits in the top 2.0% healthiest ZIPs nationally (629th) and the top 5.7% of California (97th).
The readings split fairly evenly between strengths and concerns: household income resides in the top 0.9% nationally, modeled food insecurity lies in the bottom 0.3% nationally, and modeled utility shutoff settles in the bottom 0.4% nationally. Modeled housing insecurity stands in the bottom 0.5% nationally, modeled transportation is in the bottom 0.8% nationally, and civic rests in the top 1.2% nationally. Recreation sits in the top 1.9% nationally, and fatal road crashes registers at the national minimum. Homeownership lands at the national maximum. Working the other way, housing-cost burden resides in the top 2.2% nationally.
Compared with the ZIPs that surround it, civic runs far higher than the surrounding ZIPs on this measure. ZIP 94506, 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 88%
21%
Social Need / SDOH
healthier than 95%
16%
Environmental Hazard
healthier than 73%
14%
Preventive Care
healthier than 89%
13%
Risk Behavior
healthier than 97%
11%
Mental Health
healthier than 91%
8%
Disability
healthier than 96%
7%
Climate / Disaster Risk
healthier than 90%
5%
Holding it back
Healthcare Access
healthier than 31%
5%
Lifting this score
Chronic Disease Burden
healthier than 64%
21%
Social Need / SDOH
healthier than 93%
16%
Environmental Hazard
healthier than 84%
14%
Preventive Care
healthier than 96%
13%
Risk Behavior
healthier than 95%
11%
Mental Health
healthier than 92%
8%
Disability
healthier than 95%
7%
Climate / Disaster Risk
healthier than 78%
5%
Holding it back
Healthcare Access
healthier than 19%
5%
Lifting this score
Social Need / SDOH
healthier than 68%
16%
Environmental Hazard
healthier than 70%
14%
Preventive Care
healthier than 90%
13%
Risk Behavior
healthier than 81%
11%
Mental Health
healthier than 76%
8%
Disability
healthier than 82%
7%
About typical
Climate / Disaster Risk
healthier than 57%
5%
Holding it back
Chronic Disease Burden
healthier than 33%
21%
Healthcare Access
healthier than 4%
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
94506
Californiashares a border
Score 72.00
Closest healthier
94507
Californiashares a border
Score 71.08
Similar health profile
03750
New Hampshire100% similar profile
Score 73.86
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 | 25.0% | 22.1–28.1 |
| High blood pressure among adults | 31.5% | 28.2–35.2 |
| Cancer (non-skin) or melanoma among adults | 10.6% | 9.5–11.7 |
| Current asthma among adults | 9.3% | 8.2–10.5 |
| Coronary heart disease among adults | 5.5% | 4.8–6.3 |
| Chronic obstructive pulmonary disease among adults | 4.0% | 3.2–5.1 |
| Depression among adults | 20.1% | 17.4–23.2 |
| Diagnosed diabetes among adults | 8.9% | 7.5–10.4 |
| High cholesterol among adults who have ever been screened | 38.3% | 34.6–41.9 |
| Obesity among adults | 25.1% | 20.9–30.0 |
| Stroke among adults | 2.7% | 2.3–3.1 |
| All teeth lost among adults aged >=65 years | 3.9% | 3.1–4.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 2.7% | 2.1–3.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.7% | 72.2–78.8 |
| Visits to doctor for routine checkup within the past year among adults | 76.3% | 73.1–79.2 |
| Cholesterol screening among adults | 91.6% | 90.2–92.8 |
| Colorectal cancer screening among adults aged 45–75 years | 70.4% | 66.2–74.3 |
| Visited dentist or dental clinic in the past year among adults | 77.6% | 75.1–80.1 |
| Mammography use among women aged 50-74 years | 77.6% | 70.8–83.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.5% | 13.9–19.2 |
| Current cigarette smoking among adults | 6.0% | 4.4–8.3 |
| No leisure-time physical activity among adults | 15.0% | 12.1–18.5 |
| Short sleep duration among adults | 29.7% | 25.5–34.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 12.1% | 10.0–14.9 |
| Frequent mental distress among adults | 12.6% | 10.8–14.6 |
| Frequent physical distress among adults | 10.0% | 8.5–11.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 8.5% | 7.1–10.3 |
| Any disability among adults | 21.8% | 18.5–25.6 |
| Hearing disability among adults | 5.9% | 5.1–6.7 |
| Independent living disability among adults | 5.0% | 4.1–6.1 |
| Mobility disability among adults | 9.5% | 7.8–11.6 |
| Self-care disability among adults | 2.2% | 1.9–2.7 |
| Vision disability among adults | 2.8% | 2.4–3.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 17.5% | 14.6–20.6 |
| Food insecurity in the past 12 months among adults | 4.9% | 3.6–6.7 |
| Received food stamps in the past 12 months among adults | 4.2% | 3.0–6.1 |
| Housing insecurity in the past 12 months among adults | 4.8% | 3.7–6.2 |
| Lack of reliable transportation in the past 12 months among adults | 3.7% | 3.0–4.6 |
| Loneliness among adults | 29.1% | 25.1–33.1 |
| Utility services shut-off threat in the past 12 months among adults | 2.9% | 2.3–3.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 8.1% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 7.9% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 0.0% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 79.8% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 7.1% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 17.5% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 100.0% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 53.3% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 100.0% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 14.4% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 53.0% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 22.6% | 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 | $207,500 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $2,000,001 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | — | $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 | 84.0 yr ± 3.73 | 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 3.73 years of 84.0, 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