ZIP code
94511
in Bethel Island, CaliforniaPopulation 1,864
47.79/ 100
Ranked #19,197 of 32,066 US ZIPs (bottom 40%)
Ranked #1,203 of 1,719 California ZIPs (bottom 30%)
Ranked #169 of 174 San Francisco-Oakland-Fremont, CA ZIPs (bottom 2.9%)
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.
Floodplain exposure
97.2%
in the top 0.4% nationally
Lower is healthier
ST99thUS99thDefinition & 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 ›Unemployment rate
35.5%
in the top 0.6% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Poverty rate
34.6%
in the top 4.6% nationally
Lower is healthier
ST96thUS95thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
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 ›Households without a vehicle
15.6%
in the top 6.8% nationally
Lower is healthier
ST94thUS93rdDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Dry extreme heat
61.7 days/year
in the top 7.1% nationally
Lower is healthier
ST77thUS93rdDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Distance to an emergency room
17.2 mi
in the top 8.1% nationally
Lower is healthier
ST92ndUS92ndDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
Full methodology ›Cross-source signals
Combined exposures in this ZIP
More than one environmental exposure stands out in this ZIP. Each is established independently and shown on its own above; they are grouped here for context — not because one causes the other.
This area ranks among the highest 10% of US ZIP codes for both flood exposure and the share of households without a vehicle.
See the full flooding, evacuation & humid-heat analysis →
The read
Bethel Island, California (ZIP 94511), in overall standing, comes out in the bottom 40% nationally (19,197th) and the bottom 30% of California (1,203rd).
A few readings account for most of this area's strain: floodplain exposure stands in the top 0.4% nationally, unemployment resides in the top 0.6% nationally, and poverty sits in the top 4.6% nationally. Modeled tree cover stands at the national minimum, households without a vehicle resides in the top 6.8% nationally, and modeled extreme heat sits in the top 7.1% nationally. Distance to an emergency room stands in the top 8.1% nationally. Fiber broadband resides at the national minimum, shared with about 19% of ZIPs. On the better side, recreation sits in the top 10.1% nationally. Modeled loud transportation noise stands at the national minimum, shared with about 22% of ZIPs.
Set within its surrounding area, unemployment runs far higher than the surrounding ZIPs on this measure. Defined simply, for reference, floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. 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. The closest healthier ZIP overall is ZIP 94513, 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
Risk Behavior
healthier than 71%
11%
About typical
Chronic Disease Burden
healthier than 41%
21%
Environmental Hazard
healthier than 42%
14%
Preventive Care
healthier than 55%
13%
Mental Health
healthier than 59%
8%
Holding it back
Social Need / SDOH
healthier than 34%
16%
Disability
healthier than 35%
7%
Climate / Disaster Risk
healthier than 2%
5%
Healthcare Access
healthier than 29%
5%
Lifting this score
Environmental Hazard
healthier than 69%
14%
Preventive Care
healthier than 74%
13%
About typical
Risk Behavior
healthier than 48%
11%
Mental Health
healthier than 53%
8%
Holding it back
Chronic Disease Burden
healthier than 15%
21%
Social Need / SDOH
healthier than 38%
16%
Disability
healthier than 33%
7%
Climate / Disaster Risk
healthier than 3%
5%
Healthcare Access
healthier than 18%
5%
Nothing measured is lifting this score.
About typical
Preventive Care
healthier than 57%
13%
Holding it back
Chronic Disease Burden
in the bottom 0.00%
21%
Social Need / SDOH
healthier than 9%
16%
Environmental Hazard
healthier than 39%
14%
Risk Behavior
healthier than 19%
11%
Mental Health
healthier than 17%
8%
Disability
healthier than 4%
7%
Climate / Disaster Risk
in the bottom 0.00%
5%
Healthcare Access
healthier than 3%
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 ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
94513
Californiashares a border
Score 59.16
Closest healthier
94561
Californiashares a border
Score 54.23
Similar health profile
73744
Oklahoma97% similar profile
Score 46.86
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 | 30.6% | 27.3–33.7 |
| High blood pressure among adults | 39.2% | 35.3–42.8 |
| Cancer (non-skin) or melanoma among adults | 10.3% | 9.3–11.4 |
| Current asthma among adults | 10.4% | 9.1–11.7 |
| Coronary heart disease among adults | 8.6% | 7.5–9.8 |
| Chronic obstructive pulmonary disease among adults | 8.2% | 6.6–9.9 |
| Depression among adults | 21.8% | 18.8–24.7 |
| Diagnosed diabetes among adults | 14.0% | 11.9–16.0 |
| High cholesterol among adults who have ever been screened | 41.3% | 37.4–44.9 |
| Obesity among adults | 32.4% | 27.3–37.5 |
| Stroke among adults | 4.4% | 3.8–5.1 |
| All teeth lost among adults aged >=65 years | 9.9% | 7.9–12.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.0% | 6.4–9.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.8% | 73.4–79.9 |
| Visits to doctor for routine checkup within the past year among adults | 74.8% | 71.5–78.0 |
| Cholesterol screening among adults | 88.8% | 87.1–90.4 |
| Colorectal cancer screening among adults aged 45–75 years | 66.9% | 62.1–71.5 |
| Visited dentist or dental clinic in the past year among adults | 68.3% | 65.3–71.3 |
| Mammography use among women aged 50-74 years | 75.2% | 67.9–81.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.5% | 12.2–17.1 |
| Current cigarette smoking among adults | 13.1% | 10.5–15.9 |
| No leisure-time physical activity among adults | 27.5% | 23.0–32.3 |
| Short sleep duration among adults | 33.5% | 29.0–38.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 23.6% | 20.0–27.5 |
| Frequent mental distress among adults | 16.7% | 14.6–18.8 |
| Frequent physical distress among adults | 16.2% | 13.9–18.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.4% | 12.3–16.7 |
| Any disability among adults | 34.6% | 30.1–39.0 |
| Hearing disability among adults | 8.8% | 7.7–10.1 |
| Independent living disability among adults | 9.4% | 8.0–11.0 |
| Mobility disability among adults | 17.9% | 15.0–20.9 |
| Self-care disability among adults | 4.8% | 4.0–5.6 |
| Vision disability among adults | 5.9% | 5.0–6.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.9% | 20.6–27.5 |
| Food insecurity in the past 12 months among adults | 14.1% | 11.6–17.2 |
| Received food stamps in the past 12 months among adults | 13.8% | 11.2–16.8 |
| Housing insecurity in the past 12 months among adults | 11.7% | 9.7–13.9 |
| Lack of reliable transportation in the past 12 months among adults | 8.0% | 6.8–9.4 |
| Loneliness among adults | 33.7% | 29.5–38.1 |
| Utility services shut-off threat in the past 12 months among adults | 6.5% | 5.4–7.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 34.6% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 17.9% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 32.3% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 18.9% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 35.5% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 15.6% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 84.0% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 29.5% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 64.2% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 28.6% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 46.9% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 38.9% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 56.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $74,972 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $682,700 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,606 | $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 | 78.3 yr ± 1.15 | 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 1.15 years of 78.3, 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