ZIP code
94938
in Lagunitas, CaliforniaPopulation 437
65.70/ 100
Ranked #1,739 of 32,066 US ZIPs (top 5.5%)
Ranked #243 of 1,719 California ZIPs (top 14.2%)
Ranked #88 of 174 San Francisco-Oakland-Fremont, CA ZIPs (bottom 49%)
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
21.8%
in the bottom 1.9% nationally
Lower is healthier
ST11thUS2ndDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Housing-cost burden
56.1%
in the top 1.7% nationally
Lower is healthier
ST96thUS98thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Park land
46.2%
in the top 2.7% nationally
Higher is healthier
ST91stUS97thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
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 ›Humid extreme heat
7.2 days/year
in the bottom 4.6% nationally
Lower is healthier
ST11thUS5thDefinition & 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 ›Food insecurity
7.4%
in the bottom 5.0% nationally
Lower is healthier
ST6thUS5thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Utility shut-off threat
4.3%
in the bottom 5.7% nationally
Lower is healthier
ST13thUS6thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Tooth loss
5.3%
in the bottom 2.8% nationally
Lower is healthier
ST10thUS3rdDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Lack of transportation
5.1%
in the bottom 8.7% nationally
Lower is healthier
ST9thUS9thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Loud transportation noise
1.8%
in the top 8.9% nationally
Lower is healthier
ST58thUS91stDefinition & 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
In its overall standing, Lagunitas, California (ZIP 94938) lands in the top 5.5% healthiest ZIPs nationally (1,739th) and the top 14.2% of California (243rd).
Reading the numbers as a whole, the picture lands somewhere in between: modeled obesity resides in the bottom 1.9% nationally, park land settles in the top 2.7% nationally, and home broadband subscription is at the national maximum. Modeled humid heat sits in the bottom 4.6% nationally, food insecurity lands in the bottom 5.0% nationally, and utility shutoff lies in the bottom 5.7% nationally. Modeled tooth loss stands in the bottom 2.8% nationally, and transportation rests in the bottom 8.7% nationally. On the other side, housing-cost burden registers in the top 1.7% nationally, and modeled loud transportation noise resides in the top 8.9% nationally.
Against the wider neighborhood, park land runs far higher than the surrounding ZIPs on this measure. Put simply, humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. Loud transportation noise is the modeled share of an area exposed to road, rail, and air noise at or above 65 decibels, near conversation volume. On the overall standing, ZIP 94924, just across the boundary, ranks healthier.
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 85%
21%
Social Need / SDOH
healthier than 86%
16%
Environmental Hazard
healthier than 90%
14%
Preventive Care
healthier than 84%
13%
Risk Behavior
healthier than 94%
11%
Mental Health
healthier than 68%
8%
Disability
healthier than 89%
7%
Climate / Disaster Risk
healthier than 98%
5%
Holding it back
Healthcare Access
healthier than 40%
5%
Lifting this score
Social Need / SDOH
healthier than 80%
16%
Environmental Hazard
healthier than 92%
14%
Preventive Care
healthier than 93%
13%
Risk Behavior
healthier than 88%
11%
Mental Health
healthier than 63%
8%
Disability
healthier than 85%
7%
Climate / Disaster Risk
healthier than 98%
5%
About typical
Chronic Disease Burden
healthier than 57%
21%
Holding it back
Healthcare Access
healthier than 25%
5%
Lifting this score
Environmental Hazard
healthier than 86%
14%
Preventive Care
healthier than 81%
13%
Risk Behavior
healthier than 63%
11%
Climate / Disaster Risk
healthier than 96%
5%
About typical
Disability
healthier than 53%
7%
Holding it back
Chronic Disease Burden
healthier than 25%
21%
Social Need / SDOH
healthier than 40%
16%
Mental Health
healthier than 25%
8%
Healthcare Access
healthier than 9%
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
94933
Californiashares a border
Score 66.34
Similar health profile
94922
California99% similar profile
Score 63.86
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 | 25.5% | 22.2–29.0 |
| High blood pressure among adults | 31.2% | 27.4–35.3 |
| Cancer (non-skin) or melanoma among adults | 10.7% | 9.6–11.8 |
| Current asthma among adults | 10.1% | 8.9–11.4 |
| Coronary heart disease among adults | 6.0% | 5.1–6.9 |
| Chronic obstructive pulmonary disease among adults | 5.2% | 4.1–6.5 |
| Depression among adults | 23.0% | 19.6–26.7 |
| Diagnosed diabetes among adults | 9.1% | 7.6–10.7 |
| High cholesterol among adults who have ever been screened | 36.2% | 31.9–40.4 |
| Obesity among adults | 21.8% | 16.5–27.7 |
| Stroke among adults | 3.0% | 2.5–3.4 |
| All teeth lost among adults aged >=65 years | 5.3% | 4.1–6.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 4.2% | 3.2–5.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 74.7% | 71.0–77.8 |
| Visits to doctor for routine checkup within the past year among adults | 73.6% | 69.6–77.2 |
| Cholesterol screening among adults | 90.0% | 88.2–91.5 |
| Colorectal cancer screening among adults aged 45–75 years | 71.7% | 67.0–75.8 |
| Visited dentist or dental clinic in the past year among adults | 74.5% | 71.3–77.2 |
| Mammography use among women aged 50-74 years | 80.7% | 73.9–86.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.1% | 14.1–20.3 |
| Current cigarette smoking among adults | 8.7% | 6.6–11.2 |
| No leisure-time physical activity among adults | 15.7% | 12.4–19.5 |
| Short sleep duration among adults | 29.8% | 24.3–35.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 15.0% | 12.3–17.9 |
| Frequent mental distress among adults | 14.9% | 12.9–17.2 |
| Frequent physical distress among adults | 11.7% | 9.9–13.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.0% | 9.3–13.0 |
| Any disability among adults | 26.0% | 21.7–30.6 |
| Hearing disability among adults | 6.1% | 5.3–7.1 |
| Independent living disability among adults | 6.0% | 5.0–7.2 |
| Mobility disability among adults | 11.2% | 9.1–13.5 |
| Self-care disability among adults | 2.7% | 2.3–3.3 |
| Vision disability among adults | 3.3% | 2.8–3.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.2% | 17.3–23.7 |
| Food insecurity in the past 12 months among adults | 7.4% | 5.7–9.6 |
| Received food stamps in the past 12 months among adults | 7.2% | 5.4–9.6 |
| Housing insecurity in the past 12 months among adults | 7.3% | 5.9–9.0 |
| Lack of reliable transportation in the past 12 months among adults | 5.1% | 4.3–6.1 |
| Loneliness among adults | 28.7% | 24.5–33.3 |
| Utility services shut-off threat in the past 12 months among adults | 4.3% | 3.5–5.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.2% | 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+) | 84.2% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 8.1% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 10.3% | 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) | 56.1% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 68.6% | 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 | 4.1% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 61.7% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 22.9% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 43.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | — | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $1,149,700 | $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 unavailable for this ZIP — fewer than 80% of the census tracts that make it up could be matched across the 2010→2020 tract-boundary revision, so no value is published rather than an unreliable one. See how coverage gaps are handled. | |||
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