ZIP code
94704
in Berkeley, CaliforniaPopulation 23,788
53.83/ 100
Ranked #10,919 of 32,066 US ZIPs (top 34%)
Ranked #841 of 1,719 California ZIPs (top 49%)
Ranked #159 of 174 San Francisco-Oakland-Fremont, CA ZIPs (bottom 8.7%)
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.
High cholesterol
20.7%
in the bottom 1.0% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Expected annual disaster loss
$2
in the top 0.2% nationally
Lower is healthier
ST99thUS99thDefinition & 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
17.3%
in the bottom 1.0% nationally
Lower is healthier
ST2ndUS1stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Loneliness
47.1%
in the top 0.4% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Walkability
330 intersections/sq mi
in the top 0.6% 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 ›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 ›Households without a vehicle
51.8%
in the top 1.0% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Coronary heart disease
2.7%
in the bottom 1.3% nationally
Lower is healthier
ST2ndUS1stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Housing-cost burden
58.1%
in the top 1.4% nationally
Lower is healthier
ST97thUS99thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Homeownership rate
12.4%
in the bottom 1.5% nationally
Higher is healthier
ST3rdUS1stDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›The read
ZIP 94704, one of several in Berkeley, California, by its overall standing, sits in the top 34% healthiest ZIPs nationally (10,919th) and the top 49% of California (841st).
The profile opens balanced, with readings on either hand: modeled high cholesterol registers in the bottom 1.0% nationally, modeled high blood pressure stands in the bottom 1.0% nationally, and walkability lands in the top 0.6% nationally. Modeled obesity is in the bottom 1.5% nationally, and coronary heart disease resides in the bottom 1.3% nationally. By contrast, modeled expected annual loss rests in the top 0.2% nationally, and loneliness lies in the top 0.4% nationally. Households without a vehicle sits in the top 1.0% nationally, and housing-cost burden settles in the top 1.4% nationally. Homeownership registers in the bottom 1.5% nationally.
Held up against its neighbors, expected annual loss runs far higher than the surrounding ZIPs on this measure. Defined in plain terms, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. The nearest ZIP ranking healthier 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
in the top 1.0%
21%
Risk Behavior
healthier than 65%
11%
Disability
healthier than 60%
7%
Climate / Disaster Risk
healthier than 91%
5%
Healthcare Access
healthier than 93%
5%
About typical
Environmental Hazard
healthier than 54%
14%
Holding it back
Social Need / SDOH
healthier than 18%
16%
Preventive Care
healthier than 2%
13%
Mental Health
healthier than 5%
8%
Lifting this score
Chronic Disease Burden
healthier than 98%
21%
Environmental Hazard
healthier than 75%
14%
Climate / Disaster Risk
healthier than 80%
5%
Healthcare Access
healthier than 86%
5%
About typical
Risk Behavior
healthier than 41%
11%
Disability
healthier than 56%
7%
Holding it back
Social Need / SDOH
healthier than 24%
16%
Preventive Care
healthier than 9%
13%
Mental Health
healthier than 1%
8%
Lifting this score
Chronic Disease Burden
healthier than 95%
21%
Climate / Disaster Risk
healthier than 60%
5%
Healthcare Access
healthier than 82%
5%
About typical
Environmental Hazard
healthier than 50%
14%
Holding it back
Social Need / SDOH
healthier than 4%
16%
Preventive Care
healthier than 1%
13%
Risk Behavior
healthier than 16%
11%
Mental Health
healthier than 1%
8%
Disability
healthier than 12%
7%
“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
94703
Californiashares a border
Score 66.01
Closest healthier
94705
Californiashares a border
Score 68.56
Similar health profile
95064
California98% similar profile
Score 56.74
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 | 9.8% | 8.7–11.1 |
| High blood pressure among adults | 17.3% | 15.4–19.5 |
| Cancer (non-skin) or melanoma among adults | 2.5% | 2.2–2.7 |
| Current asthma among adults | 10.2% | 9.1–11.4 |
| Coronary heart disease among adults | 2.7% | 2.4–3.0 |
| Chronic obstructive pulmonary disease among adults | 3.6% | 3.2–4.0 |
| Depression among adults | 25.6% | 22.7–29.0 |
| Diagnosed diabetes among adults | 5.5% | 4.9–6.3 |
| High cholesterol among adults who have ever been screened | 20.7% | 18.5–23.2 |
| Obesity among adults | 21.3% | 17.9–25.3 |
| Stroke among adults | 1.6% | 1.5–1.7 |
| All teeth lost among adults aged >=65 years | 13.4% | 11.0–16.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.4% | 7.0–9.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 48.1% | 45.9–50.5 |
| Visits to doctor for routine checkup within the past year among adults | 64.3% | 60.5–68.1 |
| Cholesterol screening among adults | 69.1% | 65.9–72.5 |
| Colorectal cancer screening among adults aged 45–75 years | 57.1% | 52.7–61.5 |
| Visited dentist or dental clinic in the past year among adults | 52.6% | 49.3–55.9 |
| Mammography use among women aged 50-74 years | 70.8% | 63.7–77.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.0% | 15.4–20.9 |
| Current cigarette smoking among adults | 9.8% | 8.5–11.4 |
| No leisure-time physical activity among adults | 21.9% | 18.7–25.4 |
| Short sleep duration among adults | 37.0% | 32.9–41.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.4% | 18.1–23.1 |
| Frequent mental distress among adults | 24.0% | 21.7–26.6 |
| Frequent physical distress among adults | 11.1% | 9.9–12.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 21.3% | 19.1–23.8 |
| Any disability among adults | 33.4% | 29.8–37.3 |
| Hearing disability among adults | 3.7% | 3.3–4.2 |
| Independent living disability among adults | 11.0% | 9.8–12.3 |
| Mobility disability among adults | 7.6% | 6.7–8.6 |
| Self-care disability among adults | 2.7% | 2.5–3.0 |
| Vision disability among adults | 6.0% | 5.4–6.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 29.6% | 26.2–33.7 |
| Food insecurity in the past 12 months among adults | 25.8% | 22.2–29.8 |
| Received food stamps in the past 12 months among adults | 24.2% | 20.9–27.8 |
| Housing insecurity in the past 12 months among adults | 16.4% | 14.1–19.0 |
| Lack of reliable transportation in the past 12 months among adults | 16.1% | 14.1–18.2 |
| Loneliness among adults | 47.1% | 42.7–52.0 |
| Utility services shut-off threat in the past 12 months among adults | 9.6% | 8.3–11.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 44.7% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 2.8% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 3.5% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 72.4% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 8.0% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 51.8% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 93.1% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 58.1% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 12.4% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 7.3% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 26.3% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 47.1% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 5.4% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 21.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $50,129 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $906,100 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,937 | $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 unavailable for this ZIP — fewer than 80% of the census tracts that make it up could be matched across the 2010→2020 tract-boundary revision, so no value is published rather than an unreliable one. See how coverage gaps are handled. | |||
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