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ZipVitals

ZIP code

94709

in Berkeley, CaliforniaPopulation 12,146

66.18/ 100

Ranked #1,551 of 32,066 US ZIPs (top 4.9%)

Ranked #222 of 1,719 California ZIPs (top 13.0%)

Ranked #82 of 174 San Francisco-Oakland-Fremont, CA ZIPs (top 47%)

Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.

Robust across all 9 health domains

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

24.7%

in the bottom 1.3% nationally

Lower is healthier

ST2nd
US1st
Definition & source ›

The estimated share of adults with high cholesterol, among those who have ever been screened for it.

Full methodology ›

Obesity

19.2%

in the bottom 0.7% nationally

Lower is healthier

ST5th
US1st
Definition & source ›

The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.

Full methodology ›

High blood pressure

19.1%

in the bottom 1.2% nationally

Lower is healthier

ST2nd
US1st
Definition & source ›

The estimated share of adults who have been told by a health professional that they have high blood pressure.

Full methodology ›

Walkability

310 intersections/sq mi

in the top 0.7% nationally

Higher is healthier

ST99th
US99th
Definition & source ›

The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.

Full methodology ›

Coronary heart disease

3.1%

in the bottom 1.6% nationally

Lower is healthier

ST2nd
US2nd
Definition & source ›

The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.

Full methodology ›

Diabetes

5.7%

in the bottom 1.5% nationally

Lower is healthier

ST2nd
US1st
Definition & source ›

The estimated share of adults who have been diagnosed with diabetes.

Full methodology ›

Fatal road crashes

0 per 100,000 residents per year

at the national minimum

Lower is healthier

ST1st
US1st
Definition & 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 ›

Expected annual disaster loss

$0

in the top 2.1% nationally

Lower is healthier

ST86th
US98th
Definition & 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 ›

Stroke

1.7%

in the bottom 1.5% nationally

Lower is healthier

ST2nd
US1st
Definition & source ›

The estimated share of adults who have been told by a health professional that they have had a stroke.

Full methodology ›

Homeownership rate

24.3%

in the bottom 2.4% nationally

Higher is healthier

ST6th
US2nd
Definition & 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 health measure, ZIP 94709, one of several in Berkeley, California ranks in the top 4.9% healthiest ZIPs nationally (1,551st) and the top 13.0% of California (222nd).

continue reading

The signals balance out across the profile, strengths against concerns: modeled high cholesterol is in the bottom 1.3% nationally, and obesity settles in the bottom 0.7% nationally. Modeled high blood pressure resides in the bottom 1.2% nationally, and walkability registers in the top 0.7% nationally. Modeled coronary heart disease rests in the bottom 1.6% nationally, modeled diabetes stands in the bottom 1.5% nationally, and fatal road crashes lies at the national minimum. Modeled stroke lands in the bottom 1.5% nationally. Set against that, modeled expected annual loss sits in the top 2.1% nationally, and homeownership is in the bottom 2.4% nationally.

Read against the ZIPs closest to it, walkability runs far higher than the surrounding ZIPs on this measure. To spell things out, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Close by, ZIP 94708, 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.

Compare within

Lifting this score

Chronic Disease Burden

in the top 1.0%

21%

Social Need / SDOH

healthier than 75%

16%

Risk Behavior

healthier than 89%

11%

Disability

healthier than 95%

7%

Climate / Disaster Risk

healthier than 99%

5%

Healthcare Access

healthier than 76%

5%

About typical

Environmental Hazard

healthier than 56%

14%

Mental Health

healthier than 43%

8%

Holding it back

Preventive Care

healthier than 13%

13%

Lifting this score

Chronic Disease Burden

healthier than 98%

21%

Social Need / SDOH

healthier than 69%

16%

Environmental Hazard

healthier than 77%

14%

Risk Behavior

healthier than 76%

11%

Disability

healthier than 93%

7%

Climate / Disaster Risk

healthier than 98%

5%

About typical

Healthcare Access

healthier than 53%

5%

Holding it back

Preventive Care

healthier than 33%

13%

Mental Health

healthier than 33%

8%

Lifting this score

Chronic Disease Burden

healthier than 96%

21%

Disability

healthier than 74%

7%

Climate / Disaster Risk

healthier than 97%

5%

About typical

Environmental Hazard

healthier than 52%

14%

Risk Behavior

healthier than 44%

11%

Holding it back

Social Need / SDOH

healthier than 27%

16%

Preventive Care

healthier than 14%

13%

Mental Health

healthier than 6%

8%

Healthcare Access

healthier than 35%

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 ›

Findings that name this ZIP

One of our published findings lists 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 82.8 ± 2.4 years. A median household income of $89,054 predicts 79.6 years — 3.1 years above.

    Ranked #387 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.

Nearby & similar ZIPs

Editorially selected — see how this ZIP compares to nearby and similar places.

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
MeasureCrude prevalence95% CI
Arthritis among adults13.3%11.8–14.8
High blood pressure among adults19.1%17.0–21.4
Cancer (non-skin) or melanoma among adults4.8%4.4–5.3
Current asthma among adults9.3%8.2–10.4
Coronary heart disease among adults3.1%2.8–3.5
Chronic obstructive pulmonary disease among adults3.0%2.6–3.4
Depression among adults22.7%20.0–25.9
Diagnosed diabetes among adults5.7%4.9–6.5
High cholesterol among adults who have ever been screened24.7%22.3–27.6
Obesity among adults19.2%16.0–23.0
Stroke among adults1.7%1.5–1.8
All teeth lost among adults aged >=65 years6.9%5.5–8.4
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years5.1%4.1–6.4
Taking medicine to control high blood pressure among adults with high blood pressure60.8%58.2–63.4
Visits to doctor for routine checkup within the past year among adults67.6%63.8–71.3
Cholesterol screening among adults80.3%77.9–82.7
Colorectal cancer screening among adults aged 45–75 years66.1%62.0–70.2
Visited dentist or dental clinic in the past year among adults67.0%64.1–69.8
Mammography use among women aged 50-74 years74.4%67.7–80.4
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults19.7%16.9–22.9
Current cigarette smoking among adults6.8%5.6–8.1
No leisure-time physical activity among adults14.7%12.3–17.4
Short sleep duration among adults32.2%28.4–36.2
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults13.3%11.4–15.3
Frequent mental distress among adults17.9%15.9–20.1
Frequent physical distress among adults8.9%7.8–10.1
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults13.6%11.7–15.5
Any disability among adults24.4%21.2–27.8
Hearing disability among adults3.9%3.4–4.4
Independent living disability among adults6.4%5.5–7.3
Mobility disability among adults6.7%5.9–7.7
Self-care disability among adults1.9%1.7–2.1
Vision disability among adults3.3%2.9–3.7
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults25.2%21.9–28.8
Food insecurity in the past 12 months among adults11.5%9.3–13.9
Received food stamps in the past 12 months among adults9.4%7.7–11.4
Housing insecurity in the past 12 months among adults9.1%7.5–10.8
Lack of reliable transportation in the past 12 months among adults7.8%6.5–9.2
Loneliness among adults41.0%36.6–45.5
Utility services shut-off threat in the past 12 months among adults4.8%4.1–5.7
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)CA median (p10–p90)
Poverty rate17.1%10.6% (3.1–25.8%) n=32,36410.6% (4.1–24.9%) n=1,714
Uninsured 18–647.0%9.0% (1.5–24.3%) n=32,2867.7% (1.7–17.9%) n=1,704
No HS diploma (25+)4.5%7.9% (1.8–20.7%) n=32,5059.8% (1.4–30.9%) n=1,729
Bachelor's or higher (25+)79.9%23.3% (9.2–53.6%) n=32,50531.3% (9.9–68.2%) n=1,729
Unemployment rate (16+)4.5%3.9% (0.0–9.8%) n=32,2746.1% (0.8–12.0%) n=1,714
Households without a vehicle26.3%3.9% (0.0–12.5%) n=32,3224.5% (0.0–12.2%) n=1,708
Broadband subscription91.2%89.3% (75.1–97.1%) n=32,32293.4% (82.1–98.4%) n=1,708
Housing cost burden (≥30% income)45.3%23.7% (10.6–40.0%) n=32,32238.6% (24.4–50.5%) n=1,708
Homeownership rate24.3%78.7% (51.7–94.0%) n=32,32264.1% (31.9–86.4%) n=1,708
Crowded housing (>1 per room)3.7%1.3% (0.0–6.3%) n=32,3224.8% (0.0–15.9%) n=1,708
Foreign-born population26.9%2.6% (0.0–18.6%) n=32,55318.9% (3.0–40.4%) n=1,730
Single-parent households60.8%53.6% (37.3–74.1%) n=32,08748.4% (35.1–72.3%) n=1,692
Population 65+14.9%19.4% (10.8–33.6%) n=32,55317.0% (9.7–35.7%) n=1,730
Median age30.4 yr42.2 yr (33.0–56.3) n=32,29240.1 yr (31.8–57.0) n=1,712
Median household income$89,054$72,070 ($46,039–$118,707) n=30,318$93,448 ($54,188–$159,562) n=1,584
Median home value$1,375,000$222,200 ($100,300–$579,820) n=30,049$659,800 ($300,520–$1,493,340) n=1,593
Median gross rent$2,042$1,021 ($677–$1,912) n=25,670$1,912 ($1,113–$2,923) n=1,461
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)CA median (p10–p90)
Life expectancy at birth82.8 yr ± 1.2178.9 yr (74.7–82.8) n=31,30880.5 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 1.21 years of 82.8, and it’s very unlikely to be off by more than twice that.

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