ZIP code
94707
in Berkeley, CaliforniaPopulation 12,811
73.68/ 100
Ranked #116 of 32,066 US ZIPs (top 0.4%)
Ranked #16 of 1,719 California ZIPs (top 1.0%)
Ranked #6 of 174 San Francisco-Oakland-Fremont, CA ZIPs (top 3.5%)
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
$212,776
in the top 0.8% 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
4.7%
in the bottom 0.2% 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
2.7%
in the bottom 0.2% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Housing insecurity
4.6%
in the bottom 0.3% 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
3.5%
in the bottom 0.4% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Obesity
21.3%
in the bottom 1.5% nationally
Lower is healthier
ST10thUS1stDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Walkability
230 intersections/sq mi
in the top 1.8% nationally
Higher is healthier
ST97thUS98thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Cognitive disability
8.0%
in the bottom 0.7% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Transit access
6.5 per 1,000 residents
in the top 3.0% nationally
Higher is healthier
ST97thUS97thDefinition & source ›
The number of public-transit stops 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 ›Short sleep
27.4%
in the bottom 2.1% nationally
Lower is healthier
ST2ndUS2ndDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›The read
On balance, and by the composite measure, ZIP 94707, one of several in Berkeley, California ranks in the top 0.4% healthiest ZIPs nationally (116th) and the top 1.0% of California (16th).
The measures split the difference for this area: household income rests in the top 0.8% nationally, and modeled food insecurity is in the bottom 0.2% nationally. Modeled utility shutoff stands in the bottom 0.2% nationally, and housing insecurity settles in the bottom 0.3% nationally. Modeled transportation lies in the bottom 0.4% nationally, modeled obesity resides in the bottom 1.5% nationally, and walkability lands in the top 1.8% nationally. Modeled cognitive disability registers in the bottom 0.7% nationally, transit sits in the top 3.0% nationally, and modeled short sleep rests in the bottom 2.1% nationally.
Compared with the ZIPs it borders, walkability runs far higher than the surrounding ZIPs on this measure. This ZIP stands out as the strongest overall among its immediate neighbors. The area additionally sits on the healthier half of the national range on at least seven of the ten good-life measures tracked here, from quiet and green space to nearby care, a combination reached by about one in twenty-five US ZIP codes.
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
in the top 0.6%
16%
Environmental Hazard
healthier than 77%
14%
Preventive Care
healthier than 96%
13%
Risk Behavior
in the top 0.7%
11%
Mental Health
healthier than 95%
8%
Disability
healthier than 97%
7%
Climate / Disaster Risk
healthier than 91%
5%
Healthcare Access
healthier than 79%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 65%
21%
Social Need / SDOH
in the top 1.0%
16%
Environmental Hazard
healthier than 87%
14%
Preventive Care
healthier than 99%
13%
Risk Behavior
healthier than 98%
11%
Mental Health
healthier than 95%
8%
Disability
healthier than 96%
7%
Climate / Disaster Risk
healthier than 79%
5%
About typical
Healthcare Access
healthier than 58%
5%
Nothing measured is holding this score back.
Lifting this score
Social Need / SDOH
healthier than 94%
16%
Environmental Hazard
healthier than 73%
14%
Preventive Care
in the top 0.6%
13%
Risk Behavior
healthier than 97%
11%
Mental Health
healthier than 88%
8%
Disability
healthier than 85%
7%
About typical
Climate / Disaster Risk
healthier than 58%
5%
Healthcare Access
healthier than 43%
5%
Holding it back
Chronic Disease Burden
healthier than 34%
21%
“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 86.1 ± 2.0 years. A median household income of $212,776 predicts 83.1 years — 3.1 years above.
Ranked #416 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 86.1 ± 2.0 years. The 46 nearest ZIP codes with estimates average 81.3 years — 4.9 years above them.
Ranked #170 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
94530
Californiashares a border
Score 67.76
Similar health profile
92067
California100% similar profile
Score 71.38
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 | 26.1% | 23.8–28.5 |
| High blood pressure among adults | 31.7% | 29.1–34.5 |
| Cancer (non-skin) or melanoma among adults | 11.7% | 10.8–12.7 |
| Current asthma among adults | 9.0% | 8.2–10.0 |
| Coronary heart disease among adults | 5.7% | 5.2–6.3 |
| Chronic obstructive pulmonary disease among adults | 3.9% | 3.5–4.5 |
| Depression among adults | 19.5% | 17.4–21.8 |
| Diagnosed diabetes among adults | 9.2% | 8.2–10.4 |
| High cholesterol among adults who have ever been screened | 38.1% | 35.2–41.2 |
| Obesity among adults | 21.3% | 18.4–24.6 |
| Stroke among adults | 2.8% | 2.6–3.1 |
| All teeth lost among adults aged >=65 years | 3.4% | 2.8–4.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 2.7% | 2.4–3.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.1% | 74.5–79.6 |
| Visits to doctor for routine checkup within the past year among adults | 78.4% | 76.2–80.7 |
| Cholesterol screening among adults | 92.9% | 92.1–93.7 |
| Colorectal cancer screening among adults aged 45–75 years | 72.5% | 69.5–75.6 |
| Visited dentist or dental clinic in the past year among adults | 79.0% | 77.2–80.8 |
| Mammography use among women aged 50-74 years | 80.0% | 75.4–84.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.4% | 13.6–17.5 |
| Current cigarette smoking among adults | 5.3% | 4.5–6.3 |
| No leisure-time physical activity among adults | 13.5% | 11.7–15.5 |
| Short sleep duration among adults | 27.4% | 24.6–30.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 12.0% | 10.7–13.4 |
| Frequent mental distress among adults | 11.7% | 10.6–12.9 |
| Frequent physical distress among adults | 9.9% | 8.9–10.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 8.0% | 7.2–8.9 |
| Any disability among adults | 23.1% | 20.8–25.6 |
| Hearing disability among adults | 6.2% | 5.6–6.9 |
| Independent living disability among adults | 4.7% | 4.2–5.3 |
| Mobility disability among adults | 9.9% | 8.8–11.2 |
| Self-care disability among adults | 2.1% | 1.9–2.4 |
| Vision disability among adults | 2.7% | 2.5–3.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 18.2% | 16.2–20.5 |
| Food insecurity in the past 12 months among adults | 4.7% | 4.0–5.5 |
| Received food stamps in the past 12 months among adults | 3.9% | 3.2–4.6 |
| Housing insecurity in the past 12 months among adults | 4.6% | 4.0–5.3 |
| Lack of reliable transportation in the past 12 months among adults | 3.5% | 3.1–3.9 |
| Loneliness among adults | 30.3% | 27.2–33.6 |
| Utility services shut-off threat in the past 12 months among adults | 2.7% | 2.3–3.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 3.1% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 1.4% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 0.9% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 87.0% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 5.1% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 3.8% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 97.9% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 27.1% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 87.5% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 0.4% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 17.6% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 59.4% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 30.2% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 52.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $212,776 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $1,649,300 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $2,429 | $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 | 86.1 yr ± 1.00 | 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 1.00 years of 86.1, 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