ZIP code
94603
in Oakland, CaliforniaPopulation 35,742
43.81/ 100
Ranked #23,606 of 32,066 US ZIPs (bottom 26%)
Ranked #1,355 of 1,719 California ZIPs (bottom 21%)
Ranked #172 of 174 San Francisco-Oakland-Fremont, CA ZIPs (bottom 1.2%)
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.
Loneliness
44%
in the top 0.9% nationally
Lower is healthier
ST96thUS99thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Colon-cancer screening
51.6%
in the bottom 2.7% nationally
Higher is healthier
ST13thUS3rdDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Expected annual disaster loss
$1
in the top 1.6% nationally
Lower is healthier
ST90thUS98thDefinition & 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 ›Walkability
230 intersections/sq mi
in the top 1.7% 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 ›Crowded housing
15.0%
in the top 2.2% nationally
Lower is healthier
ST89thUS98thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Housing-cost burden
52.7%
in the top 2.3% nationally
Lower is healthier
ST93rdUS98thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Housing insecurity
28%
in the top 2.4% nationally
Lower is healthier
ST94thUS98thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Loud transportation noise
3.3%
in the top 3.2% nationally
Lower is healthier
ST79thUS97thDefinition & 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 ›Uninsured (under 65)
19.1%
in the top 5.3% nationally
Lower is healthier
ST90thUS95thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Transportation noise
16.1%
in the top 3.8% nationally
Lower is healthier
ST90thUS96thDefinition & 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 ›The read
By the composite measure, ZIP 94603, one of several in Oakland, California sits in the bottom 26% nationally (23,606th) and the bottom 21% of California (1,355th).
Where this area is stretched, the data is unambiguous: modeled loneliness is in the top 0.9% nationally, colon screening rests in the bottom 2.7% nationally, and expected annual loss sits in the top 1.6% nationally. Crowded housing registers in the top 2.2% nationally, housing-cost burden lands in the top 2.3% nationally, and modeled housing insecurity resides in the top 2.4% nationally. Modeled loud transportation noise lies in the top 3.2% nationally, and uninsured settles in the top 5.3% nationally. Modeled transportation noise stands in the top 3.8% nationally. Better still, walkability is in the top 1.7% nationally.
Compared with the ZIPs that surround it, walkability 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. Loud transportation noise is the modeled share of an area exposed to road, rail, and air noise at or above 65 decibels, near conversation volume. Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. ZIP 94577, 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 84%
21%
Climate / Disaster Risk
healthier than 87%
5%
Healthcare Access
healthier than 82%
5%
Holding it back
Social Need / SDOH
healthier than 4%
16%
Environmental Hazard
healthier than 27%
14%
Preventive Care
healthier than 3%
13%
Risk Behavior
healthier than 18%
11%
Mental Health
healthier than 28%
8%
Disability
healthier than 20%
7%
Lifting this score
Climate / Disaster Risk
healthier than 72%
5%
Healthcare Access
healthier than 63%
5%
About typical
Chronic Disease Burden
healthier than 55%
21%
Environmental Hazard
healthier than 59%
14%
Holding it back
Social Need / SDOH
healthier than 6%
16%
Preventive Care
healthier than 11%
13%
Risk Behavior
healthier than 8%
11%
Mental Health
healthier than 18%
8%
Disability
healthier than 20%
7%
Nothing measured is lifting this score.
About typical
Climate / Disaster Risk
healthier than 49%
5%
Healthcare Access
healthier than 49%
5%
Holding it back
Chronic Disease Burden
healthier than 23%
21%
Social Need / SDOH
in the bottom 0.6%
16%
Environmental Hazard
healthier than 21%
14%
Preventive Care
healthier than 2%
13%
Risk Behavior
healthier than 1%
11%
Mental Health
healthier than 3%
8%
Disability
in the bottom 0.6%
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
3 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 75.6 ± 1.3 years. A median household income of $76,723 predicts 79.0 years — 3.4 years below.
Ranked #4,621 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 75.6 ± 1.3 years. The 46 nearest ZIP codes with estimates average 81.5 years — 5.9 years below them.
Ranked #3,536 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 27.7; chronic-disease standing 83.7 — 56 points apart, heavier on the environment than it is on chronic illness.
Ranked #14,998 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
94577
Californiashares a border
Score 59.88
Closest healthier
94605
Californiashares a border
Score 56.06
Similar health profile
93458
California97% similar profile
Score 43.16
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 | 18.9% | 16.8–21.2 |
| High blood pressure among adults | 30.8% | 27.9–33.9 |
| Cancer (non-skin) or melanoma among adults | 3.6% | 3.3–4.0 |
| Current asthma among adults | 10.7% | 9.6–12.0 |
| Coronary heart disease among adults | 5.1% | 4.6–5.6 |
| Chronic obstructive pulmonary disease among adults | 5.5% | 4.9–6.1 |
| Depression among adults | 21.1% | 18.4–24.1 |
| Diagnosed diabetes among adults | 13.8% | 12.2–15.5 |
| High cholesterol among adults who have ever been screened | 30.2% | 27.2–33.5 |
| Obesity among adults | 33.5% | 28.7–38.8 |
| Stroke among adults | 3.6% | 3.4–3.9 |
| All teeth lost among adults aged >=65 years | 18.3% | 15.3–21.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 19.1% | 17.0–21.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 66.6% | 63.6–69.7 |
| Visits to doctor for routine checkup within the past year among adults | 68.3% | 64.8–71.8 |
| Cholesterol screening among adults | 80.8% | 78.8–83.0 |
| Colorectal cancer screening among adults aged 45–75 years | 51.6% | 47.2–56.1 |
| Visited dentist or dental clinic in the past year among adults | 51.3% | 48.0–54.5 |
| Mammography use among women aged 50-74 years | 73.7% | 66.9–79.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.4% | 14.0–19.2 |
| Current cigarette smoking among adults | 15.1% | 13.2–17.2 |
| No leisure-time physical activity among adults | 31.8% | 28.0–36.0 |
| Short sleep duration among adults | 40.7% | 36.5–45.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 31.2% | 28.3–34.4 |
| Frequent mental distress among adults | 20.8% | 18.7–23.0 |
| Frequent physical distress among adults | 16.4% | 14.7–18.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 20.4% | 18.5–22.6 |
| Any disability among adults | 38.5% | 34.8–42.5 |
| Hearing disability among adults | 5.0% | 4.5–5.6 |
| Independent living disability among adults | 11.6% | 10.5–12.8 |
| Mobility disability among adults | 17.1% | 15.3–19.0 |
| Self-care disability among adults | 5.9% | 5.4–6.4 |
| Vision disability among adults | 8.9% | 8.2–9.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 34.5% | 30.6–38.4 |
| Food insecurity in the past 12 months among adults | 33.9% | 30.3–37.5 |
| Received food stamps in the past 12 months among adults | 32.2% | 28.9–35.3 |
| Housing insecurity in the past 12 months among adults | 28.0% | 24.9–31.1 |
| Lack of reliable transportation in the past 12 months among adults | 16.8% | 15.0–18.7 |
| Loneliness among adults | 44.0% | 39.5–48.5 |
| Utility services shut-off threat in the past 12 months among adults | 14.8% | 13.0–16.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 13.4% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 11.6% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 31.6% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 14.7% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 4.9% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 13.2% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 87.9% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 52.7% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 47.9% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 15.0% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 37.9% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 32.0% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 9.6% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 34.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $76,723 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $614,700 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,842 | $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 | 75.6 yr ± 0.68 | 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 0.68 years of 75.6, 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