ZIP code
95476
in Sonoma, CaliforniaPopulation 35,196
60.52/ 100
Ranked #4,459 of 32,066 US ZIPs (top 14.0%)
Ranked #483 of 1,719 California ZIPs (top 28%)
Ranked #19 of 34 Santa Rosa-Petaluma, CA ZIPs (bottom 44%)
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.
Natural-disaster risk
in the top 4.2% nationally
Lower is healthier
ST83rdUS96thDefinition & 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 ›Obesity
25.7%
in the bottom 6.7% nationally
Lower is healthier
ST30thUS7thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Expected annual disaster loss
$0
in the top 4.9% nationally
Lower is healthier
ST77thUS95thDefinition & 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 ›Civic-institution access
0.67 per 1,000 residents
in the top 8.3% nationally
Higher is healthier
ST82ndUS92ndDefinition & 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 ›Subsidized affordable housing
276 units
in the top 8.9% nationally
Higher is healthier
ST78thUS91stDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Tooth loss
7.3%
in the bottom 9.6% nationally
Lower is healthier
ST26thUS10thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Loneliness
30.2%
in the bottom 25% nationally
Lower is healthier
ST6thUS25thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›The read
Sonoma, California (ZIP 95476), by its composite score, sits in the top 14.0% healthiest ZIPs nationally (4,459th) and the top 28% of California (483rd).
The clearest bright points in the data come first here: modeled obesity resides in the bottom 6.7% nationally. Distance to an emergency room is at the national minimum, shared with about 11% of ZIPs. Civic lands in the top 8.3% nationally, subsidized affordable housing stands in the top 8.9% nationally, and transit registers in the top 10.7% nationally. Distance to a community health center settles at the national minimum, shared with about 23% of ZIPs. Recreation sits in the top 11.9% nationally, and lead in tap water lies in the bottom 12.3% nationally. By contrast, modeled disaster risk rests in the top 4.2% nationally, and expected annual loss resides in the top 4.9% nationally.
Next to the surrounding area, park land runs far lower than the surrounding ZIPs on this measure. For anyone unfamiliar, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. 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. For a healthier comparison close by, see ZIP 94945, 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 Santa Rosa-Petaluma, 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 72%
21%
Social Need / SDOH
healthier than 84%
16%
Environmental Hazard
healthier than 77%
14%
Preventive Care
healthier than 69%
13%
Risk Behavior
healthier than 92%
11%
Mental Health
healthier than 73%
8%
Disability
healthier than 65%
7%
Healthcare Access
in the top 0.00%
5%
About typical
Climate / Disaster Risk
healthier than 44%
5%
Nothing measured is holding this score back.
Lifting this score
Social Need / SDOH
healthier than 79%
16%
Environmental Hazard
healthier than 86%
14%
Preventive Care
healthier than 84%
13%
Risk Behavior
healthier than 83%
11%
Mental Health
healthier than 70%
8%
Disability
healthier than 60%
7%
Healthcare Access
in the top 0.00%
5%
Holding it back
Chronic Disease Burden
healthier than 37%
21%
Climate / Disaster Risk
healthier than 35%
5%
Lifting this score
Environmental Hazard
healthier than 66%
14%
Risk Behavior
healthier than 72%
11%
Mental Health
healthier than 72%
8%
Healthcare Access
in the top 0.00%
5%
About typical
Social Need / SDOH
healthier than 53%
16%
Preventive Care
healthier than 53%
13%
Holding it back
Chronic Disease Burden
healthier than 34%
21%
Disability
healthier than 25%
7%
Climate / Disaster Risk
healthier than 9%
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
94558
Californiashares a border
Score 58.10
Closest healthier
94945
Californiashares a border
Score 63.44
Similar health profile
72739
Arkansas96% similar profile
Score 57.70
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 | 27.7% | 24.5–31.0 |
| High blood pressure among adults | 34.3% | 30.4–38.3 |
| Cancer (non-skin) or melanoma among adults | 11.0% | 9.9–12.0 |
| Current asthma among adults | 9.8% | 8.7–11.0 |
| Coronary heart disease among adults | 7.2% | 6.4–8.0 |
| Chronic obstructive pulmonary disease among adults | 6.2% | 5.5–7.0 |
| Depression among adults | 22.3% | 19.1–25.7 |
| Diagnosed diabetes among adults | 11.3% | 9.8–13.0 |
| High cholesterol among adults who have ever been screened | 37.4% | 33.2–41.7 |
| Obesity among adults | 25.7% | 20.3–31.7 |
| Stroke among adults | 3.7% | 3.4–4.0 |
| All teeth lost among adults aged >=65 years | 7.3% | 5.9–9.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.7% | 7.4–10.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.6% | 73.3–79.7 |
| Visits to doctor for routine checkup within the past year among adults | 75.7% | 72.0–79.0 |
| Cholesterol screening among adults | 89.2% | 87.8–90.5 |
| Colorectal cancer screening among adults aged 45–75 years | 68.3% | 63.9–72.9 |
| Visited dentist or dental clinic in the past year among adults | 68.6% | 65.5–72.0 |
| Mammography use among women aged 50-74 years | 79.5% | 73.2–85.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.1% | 11.6–16.9 |
| Current cigarette smoking among adults | 9.9% | 8.4–11.4 |
| No leisure-time physical activity among adults | 21.1% | 17.9–24.8 |
| Short sleep duration among adults | 32.0% | 27.1–37.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 18.9% | 16.7–21.4 |
| Frequent mental distress among adults | 14.7% | 13.0–16.5 |
| Frequent physical distress among adults | 13.5% | 12.0–15.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.5% | 11.2–14.0 |
| Any disability among adults | 30.2% | 26.5–34.2 |
| Hearing disability among adults | 7.5% | 6.7–8.4 |
| Independent living disability among adults | 7.6% | 6.8–8.5 |
| Mobility disability among adults | 15.1% | 13.2–17.1 |
| Self-care disability among adults | 3.6% | 3.3–4.0 |
| Vision disability among adults | 4.7% | 4.3–5.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.2% | 19.2–25.5 |
| Food insecurity in the past 12 months among adults | 11.5% | 10.0–13.3 |
| Received food stamps in the past 12 months among adults | 10.2% | 8.9–11.7 |
| Housing insecurity in the past 12 months among adults | 10.1% | 8.8–11.5 |
| Lack of reliable transportation in the past 12 months among adults | 6.6% | 5.9–7.5 |
| Loneliness among adults | 30.2% | 25.9–34.9 |
| Utility services shut-off threat in the past 12 months among adults | 5.3% | 4.6–6.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 10.4% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 6.3% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 9.8% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 42.2% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 6.1% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 3.9% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 95.9% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 38.1% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 67.2% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 3.9% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 16.5% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 59.9% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 30.2% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 52.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $105,374 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $896,900 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $2,105 | $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 | 81.1 yr ± 0.58 | 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 0.58 years of 81.1, 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