ZIP code
94951
in Penngrove, CaliforniaPopulation 3,294
60.93/ 100
Ranked #4,175 of 32,066 US ZIPs (top 13.1%)
Ranked #463 of 1,719 California ZIPs (top 27%)
Ranked #17 of 34 Santa Rosa-Petaluma, 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.
Transit access
7.4 per 1,000 residents
in the top 2.4% nationally
Higher is healthier
ST98thUS98thDefinition & 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 ›Civic-institution access
0.96 per 1,000 residents
in the top 4.5% nationally
Higher is healthier
ST90thUS96thDefinition & 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 ›Obesity
26%
in the bottom 7.2% nationally
Lower is healthier
ST32ndUS7thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Arsenic in groundwater
20.3%
in the top 6.3% nationally
Lower is healthier
ST93rdUS94thDefinition & source ›
The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms per liter.
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 ›PFOS in drinking water
95%
in the top 6.7% nationally
Lower is healthier
ST90thUS93rdDefinition & source ›
The share of residents served by public water systems where PFOS, one of the most common “forever chemicals,” was detected in EPA testing.
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 ›PFAS in drinking water
56%
in the top 9.9% nationally
Lower is healthier
ST91stUS90thDefinition & 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 ›Mammography
80.4%
in the top 9.1% nationally
Higher is healthier
ST94thUS91stDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Energy-cost burden
1.8%
in the bottom 10.0% nationally
Lower is healthier
ST34thUS10thDefinition & 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 ›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
Judged by its overall standing, Penngrove, California (ZIP 94951) sits in the top 13.1% healthiest ZIPs nationally (4,175th) and the top 27% of California (463rd).
An even profile, with readings pulling both ways: transit settles in the top 2.4% nationally, civic lands in the top 4.5% nationally, and lead in tap water rests at the national minimum. Modeled obesity settles in the bottom 7.2% nationally, mammography lands in the top 9.1% nationally, and energy burden rests in the bottom 10.0% nationally. Floodplain exposure settles in the bottom 12.6% nationally. Against that, modeled arsenic lands in the top 6.3% nationally, and PFOS in drinking water rests in the top 6.7% nationally. Modeled pfas settles in the top 9.9% nationally.
Placed beside its immediate neighbors, expected annual loss runs far lower than the surrounding ZIPs on this measure. Put plainly, lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. PFOS in drinking water is a common one of the man-made "forever chemicals" that build up in the body and environment instead of breaking down. A healthier nearby ZIP overall is ZIP 94954, 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 74%
21%
Social Need / SDOH
healthier than 83%
16%
Preventive Care
healthier than 78%
13%
Risk Behavior
healthier than 89%
11%
Disability
healthier than 73%
7%
Climate / Disaster Risk
healthier than 95%
5%
Healthcare Access
healthier than 64%
5%
About typical
Environmental Hazard
healthier than 55%
14%
Mental Health
healthier than 57%
8%
Nothing measured is holding this score back.
Lifting this score
Social Need / SDOH
healthier than 77%
16%
Environmental Hazard
healthier than 76%
14%
Preventive Care
healthier than 89%
13%
Risk Behavior
healthier than 78%
11%
Disability
healthier than 68%
7%
Climate / Disaster Risk
healthier than 90%
5%
About typical
Mental Health
healthier than 51%
8%
Healthcare Access
healthier than 41%
5%
Holding it back
Chronic Disease Burden
healthier than 39%
21%
Lifting this score
Preventive Care
healthier than 63%
13%
Climate / Disaster Risk
healthier than 78%
5%
About typical
Social Need / SDOH
healthier than 47%
16%
Risk Behavior
healthier than 56%
11%
Disability
healthier than 56%
7%
Healthcare Access
healthier than 56%
5%
Holding it back
Chronic Disease Burden
healthier than 38%
21%
Environmental Hazard
healthier than 38%
14%
Mental Health
healthier than 31%
8%
“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
94928
Californiashares a border
Score 59.79
Closest healthier
94954
Californiashares a border
Score 61.64
Similar health profile
95446
California99% similar profile
Score 58.98
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 | 27.2% | 23.9–30.5 |
| High blood pressure among adults | 33.6% | 29.8–37.6 |
| Cancer (non-skin) or melanoma among adults | 10.5% | 9.5–11.6 |
| Current asthma among adults | 10.2% | 8.9–11.4 |
| Coronary heart disease among adults | 6.9% | 6.1–7.7 |
| Chronic obstructive pulmonary disease among adults | 6.2% | 5.3–7.2 |
| Depression among adults | 23.9% | 20.4–27.4 |
| Diagnosed diabetes among adults | 10.8% | 9.3–12.5 |
| High cholesterol among adults who have ever been screened | 36.8% | 32.6–41.1 |
| Obesity among adults | 26.0% | 20.4–32.0 |
| Stroke among adults | 3.5% | 3.1–3.9 |
| 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 | 5.5% | 4.5–6.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.7% | 72.3–79.0 |
| Visits to doctor for routine checkup within the past year among adults | 75.3% | 71.5–78.8 |
| Cholesterol screening among adults | 89.3% | 87.9–90.7 |
| Colorectal cancer screening among adults aged 45–75 years | 69.6% | 65.1–74.2 |
| Visited dentist or dental clinic in the past year among adults | 69.2% | 66.1–72.6 |
| Mammography use among women aged 50-74 years | 80.4% | 74.2–86.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.3% | 12.7–18.3 |
| Current cigarette smoking among adults | 10.2% | 8.6–12.2 |
| No leisure-time physical activity among adults | 18.9% | 15.5–22.5 |
| Short sleep duration among adults | 32.7% | 27.7–38.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.2% | 14.9–19.9 |
| Frequent mental distress among adults | 15.4% | 13.5–17.2 |
| Frequent physical distress among adults | 13.1% | 11.4–14.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.2% | 10.7–13.8 |
| Any disability among adults | 28.4% | 24.5–32.4 |
| Hearing disability among adults | 7.0% | 6.2–7.9 |
| Independent living disability among adults | 7.2% | 6.4–8.3 |
| Mobility disability among adults | 13.9% | 11.9–16.1 |
| Self-care disability among adults | 3.5% | 3.1–3.9 |
| Vision disability among adults | 4.1% | 3.7–4.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.3% | 18.3–24.6 |
| Food insecurity in the past 12 months among adults | 9.6% | 7.9–11.3 |
| Received food stamps in the past 12 months among adults | 9.1% | 7.5–10.8 |
| Housing insecurity in the past 12 months among adults | 8.7% | 7.3–10.1 |
| Lack of reliable transportation in the past 12 months among adults | 6.1% | 5.3–6.9 |
| Loneliness among adults | 29.6% | 25.3–34.3 |
| Utility services shut-off threat in the past 12 months among adults | 5.0% | 4.3–5.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 8.2% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 5.4% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 6.4% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 46.5% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 4.0% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 4.1% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 93.8% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 25.9% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 71.4% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 2.3% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 6.1% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 59.7% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 27.9% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 44.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $106,332 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $1,207,000 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,904 | $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 | 81.9 yr ± 1.36 | 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 1.36 years of 81.9, 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