ZIP code
94903
in San Rafael, CaliforniaPopulation 30,615
64.40/ 100
Ranked #2,247 of 32,066 US ZIPs (top 7.1%)
Ranked #289 of 1,719 California ZIPs (top 17%)
Ranked #100 of 174 San Francisco-Oakland-Fremont, CA ZIPs (bottom 43%)
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.
Obesity
21.2%
in the bottom 1.5% nationally
Lower is healthier
ST9thUS1stDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Median household income
$142,083
in the top 4.9% nationally
Higher is healthier
ST84thUS95thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Park land
35.1%
in the top 3.9% nationally
Higher is healthier
ST88thUS96thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Civic-institution access
0.95 per 1,000 residents
in the top 4.6% nationally
Higher is healthier
ST90thUS95thDefinition & source ›
The number of civic and social organizations 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 ›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 ›Child-care access
0.66 per 1,000 residents
in the top 6.0% nationally
Higher is healthier
ST96thUS94thDefinition & source ›
The number of child day-care services 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 ›Outpatient-care access
0.56 per 1,000 residents
in the top 6.3% nationally
Higher is healthier
ST90thUS94thDefinition & source ›
The number of outpatient clinics located 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 ›Energy-cost burden
1.4%
in the bottom 3.2% nationally
Lower is healthier
ST16thUS3rdDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›Elder-services access
0.2 per 1,000 residents
in the top 7.3% nationally
Higher is healthier
ST95thUS93rdDefinition & source ›
The number of services for older adults and people with disabilities 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 ›Mental-health provider access
0.13 per 1,000 residents
in the top 7.9% nationally
Higher is healthier
ST90thUS92ndDefinition & source ›
The number of mental-health clinics located 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 ›The read
By its overall health score, ZIP 94903, one of several in San Rafael, California lands in the top 7.1% healthiest ZIPs nationally (2,247th) and the top 17% of California (289th).
The measures split the difference for this area: modeled obesity rests in the bottom 1.5% nationally, and household income is in the top 4.9% nationally. Park land stands in the top 3.9% nationally, and civic settles in the top 4.6% nationally. Lead in tap water lies at the national minimum. Distance to an emergency room resides at the national minimum, shared with about 11% of ZIPs. Childcare lands in the top 6.0% nationally, outpatient registers in the top 6.3% nationally, and modeled energy burden sits in the bottom 3.2% nationally. Elder services rests in the top 7.3% nationally.
Weighed against the ZIPs nearby, park land runs far higher than the surrounding ZIPs on this measure. To translate a couple of terms, lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Energy burden is the share of household income that goes to home energy bills. Overall, the nearest healthier neighbor is ZIP 94930, 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
healthier than 80%
21%
Social Need / SDOH
healthier than 95%
16%
Environmental Hazard
healthier than 90%
14%
Preventive Care
healthier than 71%
13%
Risk Behavior
healthier than 95%
11%
Mental Health
healthier than 82%
8%
Disability
healthier than 75%
7%
Healthcare Access
in the top 0.00%
5%
About typical
Climate / Disaster Risk
healthier than 47%
5%
Nothing measured is holding this score back.
Lifting this score
Social Need / SDOH
healthier than 92%
16%
Environmental Hazard
healthier than 93%
14%
Preventive Care
healthier than 85%
13%
Risk Behavior
healthier than 89%
11%
Mental Health
healthier than 81%
8%
Disability
healthier than 70%
7%
Healthcare Access
in the top 0.00%
5%
About typical
Chronic Disease Burden
healthier than 48%
21%
Holding it back
Climate / Disaster Risk
healthier than 37%
5%
Lifting this score
Social Need / SDOH
healthier than 66%
16%
Environmental Hazard
healthier than 87%
14%
Preventive Care
healthier than 73%
13%
Risk Behavior
healthier than 65%
11%
Healthcare Access
in the top 0.00%
5%
About typical
Mental Health
healthier than 51%
8%
Holding it back
Chronic Disease Burden
healthier than 14%
21%
Disability
healthier than 24%
7%
Climate / Disaster Risk
healthier than 21%
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
94901
Californiashares a border
Score 59.76
Closest healthier
94930
Californiashares a border
Score 67.12
Similar health profile
20176
Virginia97% similar profile
Score 68.01
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 | 26.3% | 23.2–29.5 |
| High blood pressure among adults | 32.9% | 29.1–36.9 |
| Cancer (non-skin) or melanoma among adults | 10.6% | 9.7–11.7 |
| Current asthma among adults | 9.6% | 8.5–10.8 |
| Coronary heart disease among adults | 6.7% | 6.0–7.4 |
| Chronic obstructive pulmonary disease among adults | 5.7% | 5.0–6.4 |
| Depression among adults | 20.7% | 17.6–24.1 |
| Diagnosed diabetes among adults | 10.4% | 9.0–12.0 |
| High cholesterol among adults who have ever been screened | 37.3% | 33.1–41.7 |
| Obesity among adults | 21.2% | 16.2–27.1 |
| Stroke among adults | 3.4% | 3.1–3.8 |
| All teeth lost among adults aged >=65 years | 7.3% | 5.8–9.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.4% | 5.4–7.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.4% | 73.1–79.4 |
| Visits to doctor for routine checkup within the past year among adults | 74.4% | 70.6–77.9 |
| Cholesterol screening among adults | 89.7% | 88.4–91.0 |
| Colorectal cancer screening among adults aged 45–75 years | 66.3% | 61.4–70.7 |
| Visited dentist or dental clinic in the past year among adults | 72.0% | 68.8–74.9 |
| Mammography use among women aged 50-74 years | 79.0% | 72.0–84.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.9% | 12.3–17.8 |
| Current cigarette smoking among adults | 8.9% | 7.6–10.5 |
| No leisure-time physical activity among adults | 19.8% | 16.5–23.5 |
| Short sleep duration among adults | 29.8% | 24.3–35.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.9% | 15.6–20.4 |
| Frequent mental distress among adults | 14.4% | 12.8–16.2 |
| Frequent physical distress among adults | 12.7% | 11.2–14.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.8% | 10.4–13.2 |
| Any disability among adults | 29.3% | 25.6–33.2 |
| Hearing disability among adults | 7.1% | 6.3–8.0 |
| Independent living disability among adults | 7.0% | 6.2–7.9 |
| Mobility disability among adults | 13.7% | 11.9–15.7 |
| Self-care disability among adults | 3.3% | 3.0–3.6 |
| Vision disability among adults | 4.3% | 3.9–4.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.6% | 19.6–25.7 |
| Food insecurity in the past 12 months among adults | 10.1% | 8.7–11.5 |
| Received food stamps in the past 12 months among adults | 8.9% | 7.7–10.3 |
| Housing insecurity in the past 12 months among adults | 8.8% | 7.6–10.1 |
| Lack of reliable transportation in the past 12 months among adults | 5.9% | 5.2–6.6 |
| Loneliness among adults | 30.3% | 26.0–34.7 |
| Utility services shut-off threat in the past 12 months among adults | 4.7% | 4.1–5.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.9% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 6.7% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 8.2% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 55.5% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 6.3% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 8.3% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 95.0% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 37.6% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 65.8% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 3.0% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 20.7% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 51.0% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 26.0% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 49.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $142,083 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $1,197,300 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $2,993 | $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 | 82.6 yr ± 0.75 | 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 0.75 years of 82.6, 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