ZIP code
94970
in Stinson Beach, CaliforniaPopulation 255
66.39/ 100
Ranked #1,483 of 32,066 US ZIPs (top 4.7%)
Ranked #209 of 1,719 California ZIPs (top 12.2%)
Ranked #78 of 174 San Francisco-Oakland-Fremont, CA ZIPs (top 45%)
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
21.4%
in the bottom 1.6% nationally
Lower is healthier
ST10thUS2ndDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Loneliness
26.1%
in the bottom 1.2% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Utility shut-off threat
3.4%
in the bottom 1.3% nationally
Lower is healthier
ST5thUS1stDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Housing insecurity
5.6%
in the bottom 1.6% nationally
Lower is healthier
ST2ndUS2ndDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Food insecurity
6.2%
in the bottom 1.8% nationally
Lower is healthier
ST3rdUS2ndDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Humid extreme heat
3.2 days/year
in the bottom 1.9% nationally
Lower is healthier
ST4thUS2ndDefinition & 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 ›Park land
55.2%
in the top 2.0% nationally
Higher is healthier
ST94thUS98thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Lack of transportation
4.2%
in the bottom 2.2% nationally
Lower is healthier
ST3rdUS2ndDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Short sleep
27.7%
in the bottom 2.5% nationally
Lower is healthier
ST3rdUS2ndDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
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 ›The read
Stinson Beach, California (ZIP 94970) ranks in the top 4.7% healthiest ZIPs nationally (1,483rd) and the top 12.2% of California (209th).
A balanced set of signals defines this area, not any single one: modeled obesity registers in the bottom 1.6% nationally, and loneliness lies in the bottom 1.2% nationally. Modeled utility shutoff is in the bottom 1.3% nationally, and housing insecurity registers in the bottom 1.6% nationally. Modeled food insecurity lies in the bottom 1.8% nationally, modeled humid heat is in the bottom 1.9% nationally, and park land registers in the top 2.0% nationally. Modeled transportation lies in the bottom 2.2% nationally, modeled short sleep is in the bottom 2.5% nationally, and lead in tap water registers at the national minimum.
Against its neighbors, park land runs far higher than the surrounding ZIPs on this measure. For context, lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. The closest ZIP that ranks healthier overall is ZIP 94941, 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
Social Need / SDOH
healthier than 97%
16%
Environmental Hazard
healthier than 98%
14%
Preventive Care
healthier than 95%
13%
Risk Behavior
healthier than 99%
11%
Mental Health
healthier than 90%
8%
Disability
healthier than 82%
7%
About typical
Chronic Disease Burden
healthier than 59%
21%
Climate / Disaster Risk
healthier than 48%
5%
Healthcare Access
healthier than 58%
5%
Nothing measured is holding this score back.
Lifting this score
Social Need / SDOH
healthier than 95%
16%
Environmental Hazard
healthier than 98%
14%
Preventive Care
healthier than 98%
13%
Risk Behavior
healthier than 98%
11%
Mental Health
healthier than 90%
8%
Disability
healthier than 77%
7%
Holding it back
Chronic Disease Burden
healthier than 25%
21%
Climate / Disaster Risk
healthier than 38%
5%
Healthcare Access
healthier than 37%
5%
Lifting this score
Social Need / SDOH
healthier than 76%
16%
Environmental Hazard
healthier than 95%
14%
Preventive Care
healthier than 96%
13%
Risk Behavior
healthier than 93%
11%
Mental Health
healthier than 71%
8%
Holding it back
Chronic Disease Burden
healthier than 1%
21%
Disability
healthier than 38%
7%
Climate / Disaster Risk
healthier than 22%
5%
Healthcare Access
healthier than 17%
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
94924
Californiashares a border
Score 66.02
Closest healthier
94941
Californiashares a border
Score 71.47
Similar health profile
03245
New Hampshire99% similar profile
Score 60.86
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 | 31.5% | 27.7–35.3 |
| High blood pressure among adults | 38.1% | 33.6–42.3 |
| Cancer (non-skin) or melanoma among adults | 14.1% | 12.8–15.6 |
| Current asthma among adults | 9.5% | 8.3–10.7 |
| Coronary heart disease among adults | 8.0% | 7.0–9.2 |
| Chronic obstructive pulmonary disease among adults | 6.2% | 4.9–7.7 |
| Depression among adults | 20.8% | 17.5–24.1 |
| Diagnosed diabetes among adults | 11.5% | 9.7–13.5 |
| High cholesterol among adults who have ever been screened | 41.8% | 37.1–46.3 |
| Obesity among adults | 21.4% | 16.3–27.2 |
| Stroke among adults | 3.8% | 3.3–4.4 |
| All teeth lost among adults aged >=65 years | 6.8% | 5.3–8.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 3.5% | 2.8–4.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.6% | 77.1–83.5 |
| Visits to doctor for routine checkup within the past year among adults | 78.7% | 75.4–81.9 |
| Cholesterol screening among adults | 92.6% | 91.5–93.7 |
| Colorectal cancer screening among adults aged 45–75 years | 72.8% | 68.2–76.9 |
| Visited dentist or dental clinic in the past year among adults | 73.8% | 70.7–76.6 |
| Mammography use among women aged 50-74 years | 77.6% | 69.8–83.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.6% | 11.1–16.2 |
| Current cigarette smoking among adults | 7.4% | 5.6–9.6 |
| No leisure-time physical activity among adults | 16.9% | 13.4–21.0 |
| Short sleep duration among adults | 27.7% | 22.6–33.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 15.9% | 13.2–19.1 |
| Frequent mental distress among adults | 12.5% | 10.8–14.4 |
| Frequent physical distress among adults | 12.4% | 10.6–14.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 9.5% | 8.0–11.2 |
| Any disability among adults | 28.2% | 23.8–32.9 |
| Hearing disability among adults | 8.0% | 6.9–9.1 |
| Independent living disability among adults | 6.0% | 5.0–7.3 |
| Mobility disability among adults | 13.7% | 11.3–16.5 |
| Self-care disability among adults | 3.1% | 2.5–3.7 |
| Vision disability among adults | 3.6% | 3.1–4.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 18.1% | 15.3–21.3 |
| Food insecurity in the past 12 months among adults | 6.2% | 4.8–8.0 |
| Received food stamps in the past 12 months among adults | 6.1% | 4.5–8.1 |
| Housing insecurity in the past 12 months among adults | 5.6% | 4.5–6.8 |
| Lack of reliable transportation in the past 12 months among adults | 4.2% | 3.6–5.0 |
| Loneliness among adults | 26.1% | 22.2–30.4 |
| Utility services shut-off threat in the past 12 months among adults | 3.4% | 2.8–4.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 14.5% | 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+) | 67.8% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 13.2% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 86.8% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 36.1% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 95.8% | 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 | 12.5% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 81.3% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 58.8% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 71.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $132,857 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $1,493,400 | $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 | 82.6 yr ± 2.23 | 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 2.23 years of 82.6, 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