ZIP code
94558
in Napa, CaliforniaPopulation 63,657
58.10/ 100
Ranked #6,313 of 32,066 US ZIPs (top 20%)
Ranked #609 of 1,719 California ZIPs (top 35%)
Ranked #5 of 10 Napa, CA ZIPs (top 50%)
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 0.6% nationally
Lower is healthier
ST98thUS99thDefinition & 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 ›Subsidized affordable housing
1,012 units
in the top 1.4% nationally
Higher is healthier
ST96thUS99thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Expected annual disaster loss
$1
in the top 2.0% nationally
Lower is healthier
ST87thUS98thDefinition & 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 ›Lithium in drinking water
65 µg/L
in the top 7.6% nationally
Lower is healthier
ST98thUS92ndDefinition & 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 ›Crowded housing
6.7%
in the top 9.2% nationally
Lower is healthier
ST62ndUS91stDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Loud transportation noise
1.7%
in the top 9.9% nationally
Lower is healthier
ST56thUS90thDefinition & 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 ›The read
ZIP 94558, one of several in Napa, California ranks in the top 20% healthiest ZIPs nationally (6,313th) and the top 35% of California (609th).
Several signals sit on each side of the ledger here: subsidized affordable housing is in the top 1.4% nationally. Distance to an emergency room registers at the national minimum, shared with about 11% of ZIPs. Dental providers lies in the top 11.1% nationally. Distance to a community health center is at the national minimum, shared with about 23% of ZIPs. Working the other way, modeled disaster risk registers in the top 0.6% nationally, modeled expected annual loss lies in the top 2.0% nationally, and lithium in drinking water is in the top 7.6% nationally. Crowded housing registers in the top 9.2% nationally, modeled loud transportation noise lies in the top 9.9% nationally, and housing-cost burden is in the top 11.1% nationally.
Against its neighbors, expected annual loss runs far higher than the surrounding ZIPs on this measure. For context, 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. Lithium in drinking water is a natural metal that dissolves into some groundwater and has no federal drinking-water limit yet. The closest ZIP that ranks healthier overall is ZIP 94503, 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 Napa, 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 78%
21%
Social Need / SDOH
healthier than 79%
16%
Risk Behavior
healthier than 84%
11%
Mental Health
healthier than 64%
8%
Disability
healthier than 60%
7%
Healthcare Access
in the top 0.00%
5%
About typical
Environmental Hazard
healthier than 51%
14%
Climate / Disaster Risk
healthier than 56%
5%
Holding it back
Preventive Care
healthier than 38%
13%
Lifting this score
Social Need / SDOH
healthier than 73%
16%
Environmental Hazard
healthier than 74%
14%
Preventive Care
healthier than 60%
13%
Risk Behavior
healthier than 67%
11%
Healthcare Access
in the top 0.00%
5%
About typical
Chronic Disease Burden
healthier than 44%
21%
Mental Health
healthier than 59%
8%
Disability
healthier than 56%
7%
Climate / Disaster Risk
healthier than 43%
5%
Nothing measured is holding this score back.
Lifting this score
Environmental Hazard
healthier than 78%
14%
Healthcare Access
in the top 0.00%
5%
About typical
Chronic Disease Burden
healthier than 56%
21%
Social Need / SDOH
healthier than 56%
16%
Preventive Care
healthier than 44%
13%
Mental Health
healthier than 44%
8%
Disability
healthier than 56%
7%
Holding it back
Risk Behavior
healthier than 33%
11%
Climate / Disaster Risk
healthier than 33%
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
94503
Californiashares a border
Score 61.70
Closest healthier
94534
Californiashares a border
Score 61.19
Similar health profile
95425
California98% similar profile
Score 58.85
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 | 24.9% | 22.0–28.0 |
| High blood pressure among adults | 32.9% | 29.0–36.9 |
| Cancer (non-skin) or melanoma among adults | 9.1% | 8.3–10.0 |
| Current asthma among adults | 9.9% | 8.8–11.2 |
| Coronary heart disease among adults | 6.5% | 5.8–7.1 |
| Chronic obstructive pulmonary disease among adults | 6.0% | 5.4–6.7 |
| Depression among adults | 22.1% | 18.9–25.6 |
| Diagnosed diabetes among adults | 11.0% | 9.6–12.6 |
| High cholesterol among adults who have ever been screened | 36.4% | 32.3–40.8 |
| Obesity among adults | 28.8% | 22.3–35.9 |
| Stroke among adults | 3.4% | 3.1–3.7 |
| All teeth lost among adults aged >=65 years | 8.1% | 6.5–10.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.0% | 8.8–11.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 73.8% | 70.6–76.8 |
| Visits to doctor for routine checkup within the past year among adults | 73.8% | 70.1–77.5 |
| Cholesterol screening among adults | 87.3% | 85.8–88.8 |
| Colorectal cancer screening among adults aged 45–75 years | 65.0% | 59.8–69.8 |
| Visited dentist or dental clinic in the past year among adults | 66.9% | 63.5–70.2 |
| Mammography use among women aged 50-74 years | 75.9% | 68.1–82.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.4% | 13.6–19.6 |
| Current cigarette smoking among adults | 10.7% | 9.3–12.4 |
| No leisure-time physical activity among adults | 23.0% | 19.4–27.0 |
| Short sleep duration among adults | 30.8% | 24.7–37.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.7% | 18.4–23.3 |
| Frequent mental distress among adults | 16.0% | 14.3–17.9 |
| Frequent physical distress among adults | 13.7% | 12.3–15.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.0% | 12.5–15.6 |
| Any disability among adults | 31.2% | 27.4–35.4 |
| Hearing disability among adults | 6.9% | 6.2–7.7 |
| Independent living disability among adults | 7.9% | 7.2–8.8 |
| Mobility disability among adults | 14.6% | 12.9–16.5 |
| Self-care disability among adults | 3.8% | 3.5–4.1 |
| Vision disability among adults | 5.1% | 4.7–5.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.2% | 20.9–27.9 |
| Food insecurity in the past 12 months among adults | 14.0% | 12.1–16.0 |
| Received food stamps in the past 12 months among adults | 12.4% | 10.8–14.1 |
| Housing insecurity in the past 12 months among adults | 12.2% | 10.6–13.9 |
| Lack of reliable transportation in the past 12 months among adults | 7.8% | 6.9–8.8 |
| Loneliness among adults | 32.9% | 28.1–38.1 |
| Utility services shut-off threat in the past 12 months among adults | 6.3% | 5.4–7.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 8.5% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 7.8% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 14.5% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 40.1% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 4.3% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 5.0% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 93.2% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 39.2% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 67.5% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 6.7% | 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 | 53.4% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 22.4% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 44.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $113,269 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $890,500 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $2,385 | $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 | 80.7 yr ± 0.44 | 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 0.44 years of 80.7, 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