ZIP code
94605
in Oakland, CaliforniaPopulation 44,103
56.06/ 100
Ranked #8,202 of 32,066 US ZIPs (top 26%)
Ranked #721 of 1,719 California ZIPs (top 42%)
Ranked #150 of 174 San Francisco-Oakland-Fremont, CA ZIPs (bottom 13.8%)
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.
Expected annual disaster loss
$1
in the top 0.5% nationally
Lower is healthier
ST96thUS99thDefinition & 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 ›Subsidized affordable housing
510 units
in the top 4.4% nationally
Higher is healthier
ST88thUS96thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
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 ›Loneliness
39.7%
in the top 4.7% nationally
Lower is healthier
ST82ndUS95thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Humid extreme heat
7.7 days/year
in the bottom 5.0% nationally
Lower is healthier
ST11thUS5thDefinition & source ›
The average number of days per year when modeled heat stress — temperature, humidity, sun, and wind combined — reaches levels hard on the body outdoors.
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 ›Natural-disaster risk
in the top 5.1% nationally
Lower is healthier
ST79thUS95thDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›Transit access
4.5 per 1,000 residents
in the top 5.9% nationally
Higher is healthier
ST94thUS94thDefinition & 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 ›Park land
22%
in the top 6.3% nationally
Higher is healthier
ST81stUS94thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Hearing disability
4.8%
in the bottom 5.0% nationally
Lower is healthier
ST10thUS5thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›The read
By the composite measure, ZIP 94605, one of several in Oakland, California sits in the top 26% healthiest ZIPs nationally (8,202nd) and the top 42% of California (721st).
The profile cuts both ways, and the readings bear that out: subsidized affordable housing sits in the top 4.4% nationally, lead in tap water registers at the national minimum, and modeled humid heat lands in the bottom 5.0% nationally. Transit resides in the top 5.9% nationally, park land lies in the top 6.3% nationally, and modeled hearing disability settles in the bottom 5.0% nationally. Working the other way, modeled expected annual loss stands in the top 0.5% nationally, and loneliness is in the top 4.7% nationally. PFAS in drinking water rests at the national maximum, and modeled disaster risk sits in the top 5.1% nationally.
Compared with the ZIPs that surround it, expected annual loss runs far higher than the surrounding ZIPs on this measure. In plain language, 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. ZIP 94546, 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 82%
21%
Risk Behavior
healthier than 63%
11%
Climate / Disaster Risk
healthier than 99%
5%
Healthcare Access
healthier than 85%
5%
About typical
Social Need / SDOH
healthier than 41%
16%
Environmental Hazard
healthier than 54%
14%
Mental Health
healthier than 57%
8%
Disability
healthier than 52%
7%
Holding it back
Preventive Care
healthier than 31%
13%
Lifting this score
Environmental Hazard
healthier than 75%
14%
Climate / Disaster Risk
healthier than 98%
5%
Healthcare Access
healthier than 68%
5%
About typical
Chronic Disease Burden
healthier than 51%
21%
Social Need / SDOH
healthier than 42%
16%
Preventive Care
healthier than 53%
13%
Mental Health
healthier than 51%
8%
Disability
healthier than 50%
7%
Holding it back
Risk Behavior
healthier than 38%
11%
Lifting this score
Climate / Disaster Risk
healthier than 98%
5%
About typical
Environmental Hazard
healthier than 49%
14%
Healthcare Access
healthier than 55%
5%
Holding it back
Chronic Disease Burden
healthier than 17%
21%
Social Need / SDOH
healthier than 10%
16%
Preventive Care
healthier than 36%
13%
Risk Behavior
healthier than 14%
11%
Mental Health
healthier than 13%
8%
Disability
healthier than 9%
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 ›
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.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 77.9 ± 1.1 years. A median household income of $106,068 predicts 80.3 years — 2.4 years below.
Ranked #3,339 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Below its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 77.9 ± 1.1 years. The 47 nearest ZIP codes with estimates average 81.8 years — 3.9 years below them.
Ranked #2,966 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
94546
Californiashares a border
Score 63.13
Closest healthier
94577
Californiashares a border
Score 59.88
Similar health profile
91977
California95% similar profile
Score 58.05
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 | 22.0% | 19.7–24.5 |
| High blood pressure among adults | 33.6% | 30.6–36.8 |
| Cancer (non-skin) or melanoma among adults | 5.5% | 5.0–6.1 |
| Current asthma among adults | 11.0% | 9.8–12.3 |
| Coronary heart disease among adults | 5.2% | 4.7–5.8 |
| Chronic obstructive pulmonary disease among adults | 5.1% | 4.6–5.7 |
| Depression among adults | 20.4% | 17.8–23.3 |
| Diagnosed diabetes among adults | 12.9% | 11.4–14.6 |
| High cholesterol among adults who have ever been screened | 31.9% | 28.8–35.4 |
| Obesity among adults | 30.8% | 26.4–35.8 |
| Stroke among adults | 3.7% | 3.4–4.0 |
| All teeth lost among adults aged >=65 years | 10.9% | 9.0–13.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.0% | 8.7–11.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 72.0% | 69.1–74.9 |
| Visits to doctor for routine checkup within the past year among adults | 74.0% | 70.9–77.1 |
| Cholesterol screening among adults | 86.9% | 85.4–88.3 |
| Colorectal cancer screening among adults aged 45–75 years | 61.0% | 56.8–65.2 |
| Visited dentist or dental clinic in the past year among adults | 62.9% | 59.9–65.8 |
| Mammography use among women aged 50-74 years | 78.3% | 72.2–83.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.6% | 13.3–18.2 |
| Current cigarette smoking among adults | 11.8% | 10.3–13.5 |
| No leisure-time physical activity among adults | 23.8% | 20.7–27.0 |
| Short sleep duration among adults | 38.3% | 34.2–42.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 23.2% | 20.9–25.6 |
| Frequent mental distress among adults | 17.9% | 16.1–19.8 |
| Frequent physical distress among adults | 13.6% | 12.2–15.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.2% | 13.7–16.8 |
| Any disability among adults | 32.0% | 28.8–35.4 |
| Hearing disability among adults | 4.8% | 4.2–5.3 |
| Independent living disability among adults | 9.1% | 8.2–10.1 |
| Mobility disability among adults | 14.9% | 13.3–16.6 |
| Self-care disability among adults | 4.6% | 4.3–5.1 |
| Vision disability among adults | 6.3% | 5.8–6.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 29.7% | 26.3–33.3 |
| Food insecurity in the past 12 months among adults | 21.7% | 19.3–24.3 |
| Received food stamps in the past 12 months among adults | 21.9% | 19.6–24.2 |
| Housing insecurity in the past 12 months among adults | 19.0% | 16.8–21.3 |
| Lack of reliable transportation in the past 12 months among adults | 11.7% | 10.4–13.0 |
| Loneliness among adults | 39.7% | 35.3–44.1 |
| Utility services shut-off threat in the past 12 months among adults | 10.9% | 9.6–12.4 |
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 | 5.6% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 12.6% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 43.9% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 5.2% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 9.3% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 91.1% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 43.2% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 62.9% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 7.4% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 20.4% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 44.8% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 15.9% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 38.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $106,068 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $849,300 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,902 | $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 | 77.9 yr ± 0.54 | 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 0.54 years of 77.9, 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