ZIP code
94702
in Berkeley, CaliforniaPopulation 17,635
63.19/ 100
Ranked #2,866 of 32,066 US ZIPs (top 9.0%)
Ranked #352 of 1,719 California ZIPs (top 20%)
Ranked #110 of 174 San Francisco-Oakland-Fremont, CA ZIPs (bottom 37%)
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.
Walkability
350 intersections/sq mi
in the top 0.4% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Loud transportation noise
7.9%
in the top 0.5% nationally
Lower is healthier
ST98thUS99thDefinition & 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 ›Expected annual disaster loss
$1
in the top 1.8% nationally
Lower is healthier
ST88thUS98thDefinition & 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 ›Transportation noise
18.5%
in the top 2.9% nationally
Lower is healthier
ST92ndUS97thDefinition & 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 ›Floodplain exposure
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›Obesity
25.2%
in the bottom 5.9% nationally
Lower is healthier
ST27thUS6thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Lead in tap water
0 ppb
at the national minimum
Lower is healthier
US1stDefinition & source ›
The lead level at the 90th percentile of tap-water samples reported by the public water systems serving this ZIP, in parts per billion — the EPA requires action above 15 ppb.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›Tree cover
0.00%
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›PFAS in drinking water
100%
at the national maximum
Lower is healthier
ST99thUS99thDefinition & source ›
The share of residents served by public water systems where PFAS — man-made “forever chemicals” that build up in the body and environment instead of breaking down — were detected in EPA testing.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›Transit access
4.8 per 1,000 residents
in the top 5.4% nationally
Higher is healthier
ST95thUS95thDefinition & 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 ›The read
ZIP 94702, one of several in Berkeley, California, in overall standing, comes out in the top 9.0% healthiest ZIPs nationally (2,866th) and the top 20% of California (352nd).
A few readings each way define this mixed profile: walkability resides in the top 0.4% nationally, floodplain exposure sits at the national minimum, and modeled obesity stands in the bottom 5.9% nationally. Lead in tap water resides at the national minimum, and transit sits in the top 5.4% nationally. Pulling the other way, modeled loud transportation noise stands in the top 0.5% nationally, and expected annual loss resides in the top 1.8% nationally. Modeled transportation noise sits in the top 2.9% nationally, and tree cover stands at the national minimum. PFAS in drinking water resides at the national maximum.
Set within its surrounding area, walkability runs far higher than the surrounding ZIPs on this measure. Defined simply, for reference, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. PFAS in drinking water is the family of man-made "forever chemicals" that build up in the body and environment instead of breaking down. The closest healthier ZIP overall is ZIP 94703, 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 93%
21%
Social Need / SDOH
healthier than 88%
16%
Risk Behavior
healthier than 86%
11%
Mental Health
healthier than 65%
8%
Disability
healthier than 85%
7%
Climate / Disaster Risk
healthier than 91%
5%
Healthcare Access
healthier than 92%
5%
About typical
Preventive Care
healthier than 45%
13%
Holding it back
Environmental Hazard
healthier than 29%
14%
Lifting this score
Chronic Disease Burden
healthier than 79%
21%
Social Need / SDOH
healthier than 82%
16%
Environmental Hazard
healthier than 60%
14%
Preventive Care
healthier than 66%
13%
Risk Behavior
healthier than 72%
11%
Disability
healthier than 81%
7%
Climate / Disaster Risk
healthier than 81%
5%
Healthcare Access
healthier than 83%
5%
About typical
Mental Health
healthier than 60%
8%
Nothing measured is holding this score back.
Lifting this score
Climate / Disaster Risk
healthier than 62%
5%
Healthcare Access
healthier than 77%
5%
About typical
Chronic Disease Burden
healthier than 57%
21%
Social Need / SDOH
healthier than 44%
16%
Preventive Care
healthier than 47%
13%
Disability
healthier than 45%
7%
Holding it back
Environmental Hazard
healthier than 22%
14%
Risk Behavior
healthier than 39%
11%
Mental Health
healthier than 21%
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
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 82.0 ± 1.9 years. A median household income of $99,775 predicts 80.1 years — 1.9 years above.
Ranked #971 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 28.8; chronic-disease standing 93.0 (top 10%) — 64 points apart, heavier on the environment than it is on chronic illness.
Ranked #15,824 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
94608
Californiashares a border
Score 62.86
Closest healthier
94703
Californiashares a border
Score 66.01
Similar health profile
90035
California100% similar profile
Score 64.67
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 | 21.2% | 19.0–23.7 |
| High blood pressure among adults | 29.0% | 26.2–32.1 |
| Cancer (non-skin) or melanoma among adults | 6.9% | 6.3–7.6 |
| Current asthma among adults | 10.0% | 8.9–11.2 |
| Coronary heart disease among adults | 4.8% | 4.3–5.3 |
| Chronic obstructive pulmonary disease among adults | 4.4% | 3.9–5.0 |
| Depression among adults | 21.8% | 19.1–24.9 |
| Diagnosed diabetes among adults | 9.9% | 8.7–11.3 |
| High cholesterol among adults who have ever been screened | 31.9% | 28.8–35.3 |
| Obesity among adults | 25.2% | 21.3–29.6 |
| Stroke among adults | 2.9% | 2.6–3.1 |
| All teeth lost among adults aged >=65 years | 7.2% | 5.9–8.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.5% | 4.7–6.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 71.0% | 67.9–74.0 |
| Visits to doctor for routine checkup within the past year among adults | 73.2% | 70.0–76.4 |
| Cholesterol screening among adults | 87.9% | 86.5–89.3 |
| Colorectal cancer screening among adults aged 45–75 years | 63.0% | 58.9–67.1 |
| Visited dentist or dental clinic in the past year among adults | 70.2% | 67.4–72.9 |
| Mammography use among women aged 50-74 years | 77.2% | 71.0–82.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.4% | 14.9–20.3 |
| Current cigarette smoking among adults | 9.1% | 7.7–10.5 |
| No leisure-time physical activity among adults | 17.8% | 15.2–20.7 |
| Short sleep duration among adults | 33.1% | 29.3–37.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.8% | 14.9–18.9 |
| Frequent mental distress among adults | 16.1% | 14.4–17.9 |
| Frequent physical distress among adults | 11.4% | 10.1–12.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.2% | 10.8–13.6 |
| Any disability among adults | 26.7% | 23.8–30.0 |
| Hearing disability among adults | 5.0% | 4.4–5.6 |
| Independent living disability among adults | 6.8% | 6.1–7.6 |
| Mobility disability among adults | 11.3% | 9.9–12.7 |
| Self-care disability among adults | 3.1% | 2.8–3.4 |
| Vision disability among adults | 4.2% | 3.8–4.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.1% | 21.2–27.3 |
| Food insecurity in the past 12 months among adults | 12.1% | 10.5–13.9 |
| Received food stamps in the past 12 months among adults | 11.8% | 10.2–13.6 |
| Housing insecurity in the past 12 months among adults | 10.8% | 9.3–12.4 |
| Lack of reliable transportation in the past 12 months among adults | 7.3% | 6.4–8.2 |
| Loneliness among adults | 36.2% | 32.1–40.3 |
| Utility services shut-off threat in the past 12 months among adults | 6.3% | 5.4–7.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 12.3% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 2.2% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 5.4% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 64.0% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 4.6% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 17.7% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 91.6% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 44.1% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 51.3% | 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 | 18.2% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 37.8% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 18.1% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 41.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $99,775 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $1,202,100 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $2,094 | $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 | 82.0 yr ± 0.97 | 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 0.97 years of 82.0, 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