ZIP code
95403
in Santa Rosa, CaliforniaPopulation 45,806
56.78/ 100
Ranked #7,480 of 32,066 US ZIPs (top 23%)
Ranked #683 of 1,719 California ZIPs (top 40%)
Ranked #32 of 34 Santa Rosa-Petaluma, CA ZIPs (bottom 5.9%)
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.
Expected annual disaster loss
$1
in the top 1.1% nationally
Lower is healthier
ST92ndUS99thDefinition & 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
793 units
in the top 2.2% nationally
Higher is healthier
ST95thUS98thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Lithium in drinking water
85 µg/L
in the top 4.2% nationally
Lower is healthier
ST99thUS96thDefinition & source ›
The average detected level of lithium — a natural trace metal with no federal drinking-water limit yet — across the public water systems serving this ZIP, in micrograms per liter.
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 4.5% nationally
Lower is healthier
ST82ndUS96thDefinition & 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 ›PFAS in drinking water
69.1%
in the top 4.7% nationally
Lower is healthier
ST96thUS95thDefinition & source ›
The modeled probability that PFAS “forever chemicals” would be detected in untreated groundwater in this area, the source private wells draw on.
A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.
Full methodology ›Loud transportation noise
2.2%
in the top 6.3% nationally
Lower is healthier
ST65thUS94thDefinition & 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 ›Industrial-pollution burden
in the bottom 6.5% nationally
Lower is healthier
ST14thUS6thDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›Obesity
27%
in the bottom 9.2% nationally
Lower is healthier
ST38thUS9thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Crowded housing
7.5%
in the top 7.6% nationally
Lower is healthier
ST67thUS92ndDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Housing-cost burden
42.3%
in the top 7.7% nationally
Lower is healthier
ST69thUS92ndDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›The read
ZIP 95403, one of several in Santa Rosa, California, on the composite measure, lands in the top 23% healthiest ZIPs nationally (7,480th) and the top 40% of California (683rd).
Where the data leans one way, another reading answers it: subsidized affordable housing resides in the top 2.2% nationally. Distance to an emergency room lies at the national minimum, shared with about 11% of ZIPs. Modeled industrial-pollution burden settles in the bottom 6.5% nationally, and obesity stands in the bottom 9.2% nationally. On the other hand, modeled expected annual loss is in the top 1.1% nationally, and lithium in drinking water rests in the top 4.2% nationally. Modeled disaster risk sits in the top 4.5% nationally, and pfas registers in the top 4.7% nationally. Modeled loud transportation noise lands in the top 6.3% nationally, and crowded housing resides in the top 7.6% nationally.
Set against the neighboring ZIPs, expected annual loss runs far higher than the surrounding ZIPs on this measure. In everyday language, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Lithium in drinking water is a natural metal that dissolves into some groundwater and has no federal drinking-water limit yet. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. A healthier neighbor overall sits at ZIP 95404, 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 86%
21%
Social Need / SDOH
healthier than 75%
16%
Risk Behavior
healthier than 72%
11%
Disability
healthier than 60%
7%
Climate / Disaster Risk
healthier than 80%
5%
Healthcare Access
in the top 0.00%
5%
About typical
Mental Health
healthier than 45%
8%
Holding it back
Environmental Hazard
healthier than 29%
14%
Preventive Care
healthier than 24%
13%
Lifting this score
Chronic Disease Burden
healthier than 60%
21%
Social Need / SDOH
healthier than 69%
16%
Environmental Hazard
healthier than 60%
14%
Climate / Disaster Risk
healthier than 60%
5%
Healthcare Access
in the top 0.00%
5%
About typical
Preventive Care
healthier than 47%
13%
Risk Behavior
healthier than 49%
11%
Disability
healthier than 56%
7%
Holding it back
Mental Health
healthier than 36%
8%
Lifting this score
Chronic Disease Burden
healthier than 88%
21%
Healthcare Access
in the top 0.00%
5%
Holding it back
Social Need / SDOH
healthier than 16%
16%
Environmental Hazard
healthier than 6%
14%
Preventive Care
healthier than 9%
13%
Risk Behavior
healthier than 6%
11%
Mental Health
healthier than 13%
8%
Disability
healthier than 9%
7%
Climate / Disaster Risk
healthier than 38%
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 ›
Findings that name this ZIP
One of our published findings lists 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.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 28.9; chronic-disease standing 86.4 — 58 points apart, heavier on the environment than it is on chronic illness.
Ranked #15,159 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
95401
Californiashares a border
Score 53.15
Closest healthier
95404
Californiashares a border
Score 61.39
Similar health profile
91501
California99% similar profile
Score 57.04
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 | 22.5% | 19.8–25.2 |
| High blood pressure among adults | 30.0% | 26.4–33.7 |
| Cancer (non-skin) or melanoma among adults | 7.7% | 7.0–8.5 |
| Current asthma among adults | 10.0% | 8.8–11.2 |
| Coronary heart disease among adults | 5.9% | 5.3–6.5 |
| Chronic obstructive pulmonary disease among adults | 5.7% | 5.1–6.3 |
| Depression among adults | 23.3% | 20.0–26.8 |
| Diagnosed diabetes among adults | 10.5% | 9.0–12.0 |
| High cholesterol among adults who have ever been screened | 33.2% | 29.2–37.2 |
| Obesity among adults | 27.0% | 21.4–33.2 |
| Stroke among adults | 3.2% | 2.9–3.4 |
| All teeth lost among adults aged >=65 years | 9.3% | 7.5–11.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.1% | 8.7–11.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 71.1% | 67.6–74.3 |
| Visits to doctor for routine checkup within the past year among adults | 71.0% | 67.1–74.8 |
| Cholesterol screening among adults | 85.3% | 83.6–87.0 |
| Colorectal cancer screening among adults aged 45–75 years | 62.3% | 57.6–67.3 |
| Visited dentist or dental clinic in the past year among adults | 64.8% | 61.5–68.3 |
| Mammography use among women aged 50-74 years | 78.0% | 71.5–84.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.1% | 13.4–19.2 |
| Current cigarette smoking among adults | 11.9% | 10.2–13.6 |
| No leisure-time physical activity among adults | 22.8% | 19.1–26.6 |
| Short sleep duration among adults | 35.1% | 29.9–41.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.4% | 17.9–22.8 |
| Frequent mental distress among adults | 17.2% | 15.2–19.1 |
| Frequent physical distress among adults | 13.6% | 12.0–15.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.9% | 13.3–16.5 |
| Any disability among adults | 30.3% | 26.4–34.1 |
| Hearing disability among adults | 6.3% | 5.6–7.1 |
| Independent living disability among adults | 8.3% | 7.4–9.2 |
| Mobility disability among adults | 13.9% | 12.2–15.7 |
| Self-care disability among adults | 3.8% | 3.4–4.1 |
| Vision disability among adults | 5.2% | 4.7–5.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.9% | 22.5–29.6 |
| Food insecurity in the past 12 months among adults | 15.7% | 13.7–17.9 |
| Received food stamps in the past 12 months among adults | 14.0% | 12.3–15.9 |
| Housing insecurity in the past 12 months among adults | 13.7% | 12.0–15.6 |
| Lack of reliable transportation in the past 12 months among adults | 8.7% | 7.8–9.8 |
| Loneliness among adults | 33.4% | 28.9–38.3 |
| Utility services shut-off threat in the past 12 months among adults | 7.1% | 6.2–8.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 9.8% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 9.7% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 12.2% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 29.3% | 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 | 6.7% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 94.0% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 42.3% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 54.8% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 7.5% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 19.7% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 47.6% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 17.6% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 40.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $98,191 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $693,000 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $2,275 | $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 | 79.4 yr ± 0.47 | 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 0.47 years of 79.4, 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