ZIP code
94971
in Tomales, CaliforniaPopulation 276
63.93/ 100
Ranked #2,493 of 32,066 US ZIPs (top 7.8%)
Ranked #310 of 1,719 California ZIPs (top 18%)
Ranked #104 of 174 San Francisco-Oakland-Fremont, CA ZIPs (bottom 40%)
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.
Obesity
22%
in the bottom 2.1% nationally
Lower is healthier
ST12thUS2ndDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Humid extreme heat
3.4 days/year
in the bottom 2.0% nationally
Lower is healthier
ST5thUS2ndDefinition & source ›
The average number of days per year when modeled heat stress — temperature, humidity, sun, and wind combined — reaches levels hard on the body outdoors.
Full methodology ›Home broadband subscription
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Utility shut-off threat
4.0%
in the bottom 3.8% nationally
Lower is healthier
ST10thUS4thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Poverty rate
36.6%
in the top 4.0% nationally
Lower is healthier
ST96thUS96thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Short sleep
28.5%
in the bottom 4.3% nationally
Lower is healthier
ST4thUS4thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Industrial-pollution burden
in the bottom 5.4% nationally
Lower is healthier
ST13thUS5thDefinition & 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 ›Food insecurity
7.8%
in the bottom 6.6% nationally
Lower is healthier
ST8thUS7thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Tooth loss
4.8%
in the bottom 1.8% nationally
Lower is healthier
ST7thUS2ndDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Loneliness
28%
in the bottom 7.3% nationally
Lower is healthier
ST2ndUS7thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›The read
Overall, Tomales, California (ZIP 94971) places in the top 7.8% healthiest ZIPs nationally (2,493rd) and the top 18% of California (310th).
The measures land in both directions, and neither dominates: modeled obesity rests in the bottom 2.1% nationally, and humid heat resides in the bottom 2.0% nationally. Home broadband subscription is at the national maximum, and modeled utility shutoff lands in the bottom 3.8% nationally. Modeled short sleep stands in the bottom 4.3% nationally, industrial-pollution burden registers in the bottom 5.4% nationally, and food insecurity settles in the bottom 6.6% nationally. Modeled tooth loss sits in the bottom 1.8% nationally, and loneliness lies in the bottom 7.3% nationally. Pulling the other way, poverty rests in the top 4.0% nationally.
For readers new to these terms, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. Among nearby ZIPs, the nearest healthier one overall is ZIP 94929, 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 San Francisco-Oakland-Fremont, 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 69%
21%
Social Need / SDOH
healthier than 81%
16%
Environmental Hazard
healthier than 98%
14%
Preventive Care
healthier than 89%
13%
Risk Behavior
healthier than 97%
11%
Mental Health
healthier than 83%
8%
Disability
healthier than 77%
7%
Climate / Disaster Risk
healthier than 81%
5%
Holding it back
Healthcare Access
healthier than 18%
5%
Lifting this score
Social Need / SDOH
healthier than 75%
16%
Environmental Hazard
healthier than 98%
14%
Preventive Care
healthier than 96%
13%
Risk Behavior
healthier than 93%
11%
Mental Health
healthier than 82%
8%
Disability
healthier than 72%
7%
Climate / Disaster Risk
healthier than 61%
5%
Holding it back
Chronic Disease Burden
healthier than 34%
21%
Healthcare Access
healthier than 12%
5%
Lifting this score
Environmental Hazard
healthier than 96%
14%
Preventive Care
healthier than 89%
13%
Risk Behavior
healthier than 76%
11%
About typical
Mental Health
healthier than 53%
8%
Holding it back
Chronic Disease Burden
healthier than 5%
21%
Social Need / SDOH
healthier than 31%
16%
Disability
healthier than 29%
7%
Climate / Disaster Risk
healthier than 39%
5%
Healthcare Access
healthier than 2%
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
94929
Californiashares a border
Score 65.29
Closest healthier
94937
Californiashares a border
Score 66.82
Similar health profile
92036
California98% similar profile
Score 60.62
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 | 29.6% | 26.1–33.3 |
| High blood pressure among adults | 36.0% | 31.9–40.4 |
| Cancer (non-skin) or melanoma among adults | 12.6% | 11.4–13.8 |
| Current asthma among adults | 9.7% | 8.6–10.9 |
| Coronary heart disease among adults | 7.6% | 6.6–8.6 |
| Chronic obstructive pulmonary disease among adults | 6.3% | 5.1–7.6 |
| Depression among adults | 21.3% | 18.1–24.8 |
| Diagnosed diabetes among adults | 10.9% | 9.3–12.7 |
| High cholesterol among adults who have ever been screened | 39.7% | 35.3–44.3 |
| Obesity among adults | 22.0% | 16.8–28.0 |
| Stroke among adults | 3.7% | 3.2–4.2 |
| All teeth lost among adults aged >=65 years | 4.8% | 3.8–6.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 4.8% | 3.7–6.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.5% | 75.0–81.5 |
| Visits to doctor for routine checkup within the past year among adults | 76.4% | 72.8–79.7 |
| Cholesterol screening among adults | 91.5% | 90.2–92.6 |
| Colorectal cancer screening among adults aged 45–75 years | 70.8% | 65.8–75.0 |
| Visited dentist or dental clinic in the past year among adults | 73.7% | 70.4–76.5 |
| Mammography use among women aged 50-74 years | 79.0% | 71.6–84.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.8% | 12.2–17.7 |
| Current cigarette smoking among adults | 8.8% | 6.9–11.1 |
| No leisure-time physical activity among adults | 18.1% | 14.5–22.1 |
| Short sleep duration among adults | 28.5% | 23.2–33.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.0% | 14.2–20.2 |
| Frequent mental distress among adults | 13.8% | 11.9–15.8 |
| Frequent physical distress among adults | 13.0% | 11.1–15.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 10.9% | 9.2–12.7 |
| Any disability among adults | 29.2% | 24.9–33.8 |
| Hearing disability among adults | 7.7% | 6.7–8.8 |
| Independent living disability among adults | 6.7% | 5.6–7.9 |
| Mobility disability among adults | 13.9% | 11.6–16.6 |
| Self-care disability among adults | 3.3% | 2.8–3.9 |
| Vision disability among adults | 3.9% | 3.4–4.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.0% | 16.9–23.4 |
| Food insecurity in the past 12 months among adults | 7.8% | 6.2–9.8 |
| Received food stamps in the past 12 months among adults | 7.3% | 5.6–9.3 |
| Housing insecurity in the past 12 months among adults | 7.0% | 5.7–8.6 |
| Lack of reliable transportation in the past 12 months among adults | 5.0% | 4.2–5.9 |
| Loneliness among adults | 28.0% | 23.8–32.5 |
| Utility services shut-off threat in the past 12 months among adults | 4.0% | 3.3–4.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 36.6% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 0.0% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 0.0% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 63.0% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 2.8% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 100.0% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 27.3% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 84.4% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 1.4% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 81.5% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 48.2% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 62.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $119,028 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $883,500 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | — | $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 | 86.9 yr ± 3.38 | 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 3.38 years of 86.9, 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