ZIP code
95448
in Healdsburg, CaliforniaPopulation 16,077
60.83/ 100
Ranked #4,247 of 32,066 US ZIPs (top 13.3%)
Ranked #467 of 1,719 California ZIPs (top 27%)
Ranked #18 of 34 Santa Rosa-Petaluma, CA ZIPs (bottom 47%)
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.
Air-toxics cancer risk
40.2 per million
in the top 2.2% nationally
Lower is healthier
ST85thUS98thDefinition & source ›
The EPA’s modeled estimate of added lifetime cancer risk from breathing outdoor air toxics, in cases per million people exposed over a lifetime.
Full methodology ›Natural-disaster risk
in the top 4.0% nationally
Lower is healthier
ST84thUS96thDefinition & 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 ›Dental provider access
1.2 per 1,000 residents
in the top 4.7% nationally
Higher is healthier
ST88thUS95thDefinition & source ›
The number of dental offices 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 ›Obesity
26.3%
in the bottom 7.8% nationally
Lower is healthier
ST34thUS8thDefinition & 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 6.2% nationally
Lower is healthier
ST74thUS94thDefinition & 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
0.68 per 1,000 residents
in the top 8.0% nationally
Higher is healthier
ST83rdUS92ndDefinition & 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 ›Transit access
3.2 per 1,000 residents
in the top 9.7% nationally
Higher is healthier
ST86thUS90thDefinition & source ›
The number of public-transit stops 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 ›Housing-cost burden
40.2%
in the top 9.9% nationally
Lower is healthier
ST59thUS90thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Radon
0.8 pCi/L
in the bottom 8.8% nationally
Lower is healthier
ST19thUS9thDefinition & source ›
The modeled typical indoor radon level for this area, in picocuries per liter — the EPA recommends fixing a home at 4 pCi/L or above.
Modeled from indoor-radon measurements. In Alaska and Hawaii, where those measurements are not published, a US Geological Survey geologic radon-potential category stands in — a coarser input, disclosed rather than hidden.
Full methodology ›The read
Healdsburg, California (ZIP 95448), by its composite score, sits in the top 13.3% healthiest ZIPs nationally (4,247th) and the top 27% of California (467th).
The data opens on a genuinely even set of readings: dental providers stands in the top 4.7% nationally. Distance to an emergency room registers at the national minimum, shared with about 11% of ZIPs. Modeled obesity settles in the bottom 7.8% nationally, civic sits in the top 8.0% nationally, and subsidized affordable housing lies in the top 8.9% nationally. Transit rests in the top 9.7% nationally. On the other side, modeled air-toxics cancer risk resides in the top 2.2% nationally, disaster risk is in the top 4.0% nationally, and expected annual loss lands in the top 6.2% nationally. Housing-cost burden stands in the top 9.9% nationally.
Next to the surrounding area, expected annual loss runs far higher than the surrounding ZIPs on this measure. For anyone unfamiliar, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. 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. For a healthier comparison close by, see 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 75%
21%
Social Need / SDOH
healthier than 88%
16%
Preventive Care
healthier than 67%
13%
Risk Behavior
healthier than 89%
11%
Mental Health
healthier than 68%
8%
Disability
healthier than 65%
7%
Climate / Disaster Risk
healthier than 81%
5%
Healthcare Access
in the top 0.00%
5%
About typical
Environmental Hazard
healthier than 52%
14%
Nothing measured is holding this score back.
Lifting this score
Social Need / SDOH
healthier than 82%
16%
Environmental Hazard
healthier than 74%
14%
Preventive Care
healthier than 83%
13%
Risk Behavior
healthier than 78%
11%
Mental Health
healthier than 63%
8%
Disability
healthier than 60%
7%
Climate / Disaster Risk
healthier than 62%
5%
Healthcare Access
in the top 0.00%
5%
About typical
Chronic Disease Burden
healthier than 41%
21%
Nothing measured is holding this score back.
Lifting this score
Social Need / SDOH
healthier than 78%
16%
Mental Health
healthier than 69%
8%
Healthcare Access
in the top 0.00%
5%
About typical
Chronic Disease Burden
healthier than 44%
21%
Preventive Care
healthier than 44%
13%
Risk Behavior
healthier than 53%
11%
Climate / Disaster Risk
healthier than 41%
5%
Holding it back
Environmental Hazard
healthier than 34%
14%
Disability
healthier than 28%
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
2 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.
Above what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 82.3 ± 1.5 years. A median household income of $105,120 predicts 80.3 years — 2.1 years above.
Ranked #902 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Highest-risk tenth
Air toxics and the years between the two ends of the risk scale
Modeled air-toxics cancer risk is 40.2 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 82.3 ± 1.5 years.
Ranked #450 of the 4,173 ZIP codes this finding names, ordered by modeled air-toxics risk, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
94515
Californiashares a border
Score 56.44
Closest healthier
95404
Californiashares a border
Score 61.39
Similar health profile
93420
California99% similar profile
Score 63.68
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 | 26.4% | 23.3–29.6 |
| High blood pressure among adults | 33.3% | 29.4–37.2 |
| Cancer (non-skin) or melanoma among adults | 10.2% | 9.2–11.2 |
| Current asthma among adults | 9.9% | 8.7–11.1 |
| Coronary heart disease among adults | 6.9% | 6.2–7.7 |
| Chronic obstructive pulmonary disease among adults | 6.1% | 5.4–7.0 |
| Depression among adults | 22.7% | 19.4–26.2 |
| Diagnosed diabetes among adults | 11.1% | 9.6–12.9 |
| High cholesterol among adults who have ever been screened | 36.6% | 32.4–40.9 |
| Obesity among adults | 26.3% | 20.7–32.4 |
| Stroke among adults | 3.5% | 3.2–3.8 |
| All teeth lost among adults aged >=65 years | 7.9% | 6.4–9.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.5% | 7.1–10.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.3% | 71.9–78.4 |
| Visits to doctor for routine checkup within the past year among adults | 74.6% | 70.9–78.1 |
| Cholesterol screening among adults | 88.5% | 87.0–90.0 |
| Colorectal cancer screening among adults aged 45–75 years | 69.3% | 64.9–73.9 |
| Visited dentist or dental clinic in the past year among adults | 69.5% | 66.5–72.9 |
| Mammography use among women aged 50-74 years | 79.9% | 73.7–85.7 |
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 | 10.3% | 8.8–12.1 |
| No leisure-time physical activity among adults | 20.9% | 17.4–24.7 |
| Short sleep duration among adults | 31.9% | 27.0–37.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 19.1% | 16.7–21.8 |
| Frequent mental distress among adults | 15.1% | 13.4–17.0 |
| Frequent physical distress among adults | 13.5% | 11.8–15.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.8% | 11.3–14.5 |
| Any disability among adults | 29.7% | 25.9–33.8 |
| Hearing disability among adults | 7.2% | 6.3–8.1 |
| Independent living disability among adults | 7.6% | 6.7–8.6 |
| Mobility disability among adults | 14.6% | 12.7–16.8 |
| Self-care disability among adults | 3.7% | 3.3–4.1 |
| Vision disability among adults | 4.8% | 4.3–5.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.3% | 19.1–25.6 |
| Food insecurity in the past 12 months among adults | 12.0% | 10.1–14.0 |
| Received food stamps in the past 12 months among adults | 10.8% | 9.2–12.5 |
| Housing insecurity in the past 12 months among adults | 10.5% | 9.0–12.1 |
| Lack of reliable transportation in the past 12 months among adults | 6.9% | 6.0–7.8 |
| Loneliness among adults | 30.3% | 25.9–35.0 |
| Utility services shut-off threat in the past 12 months among adults | 5.6% | 4.8–6.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 10.9% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 7.5% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 12.4% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 45.8% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 6.0% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 1.2% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 96.1% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 40.2% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 63.6% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 2.5% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 18.0% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 62.6% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 25.1% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 46.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $105,120 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $1,048,300 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $2,124 | $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 | 82.3 yr ± 0.78 | 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 0.78 years of 82.3, 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