ZIP code
94937
in Inverness, CaliforniaPopulation 1,009
66.82/ 100
Ranked #1,339 of 32,066 US ZIPs (top 4.2%)
Ranked #190 of 1,719 California ZIPs (top 11.1%)
Ranked #70 of 174 San Francisco-Oakland-Fremont, CA ZIPs (top 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
20.9%
in the bottom 1.3% nationally
Lower is healthier
ST9thUS1stDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Utility shut-off threat
3.3%
in the bottom 1.1% nationally
Lower is healthier
ST4thUS1stDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Humid extreme heat
1.9 days/year
in the bottom 1.2% nationally
Lower is healthier
ST2ndUS1stDefinition & 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 ›Recreation access
2.1 per 1,000 residents
in the top 1.3% nationally
Higher is healthier
ST98thUS99thDefinition & source ›
The number of places for physical recreation — gyms, sports, and fitness venues — 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 ›Food insecurity
6.1%
in the bottom 1.6% nationally
Lower is healthier
ST3rdUS2ndDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Loneliness
26.5%
in the bottom 1.9% nationally
Lower is healthier
ST1stUS2ndDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Housing insecurity
5.8%
in the bottom 2.1% nationally
Lower is healthier
ST3rdUS2ndDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
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
26.9%
in the bottom 1.4% nationally
Lower is healthier
ST2ndUS1stDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Cognitive disability
9.4%
in the bottom 3.0% nationally
Lower is healthier
ST5thUS3rdDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›The read
Inverness, California (ZIP 94937), on the composite measure, lands in the top 4.2% healthiest ZIPs nationally (1,339th) and the top 11.1% of California (190th).
The profile cuts both ways, and the readings bear that out: modeled obesity lies in the bottom 1.3% nationally, utility shutoff settles in the bottom 1.1% nationally, and humid heat stands in the bottom 1.2% nationally. Recreation is in the top 1.3% nationally, modeled food insecurity rests in the bottom 1.6% nationally, and modeled loneliness sits in the bottom 1.9% nationally. Modeled housing insecurity registers in the bottom 2.1% nationally, and transportation lands in the bottom 2.2% nationally. Modeled short sleep resides in the bottom 1.4% nationally, and cognitive disability lies in the bottom 3.0% nationally.
Set against the neighboring ZIPs, park land runs far lower than the surrounding ZIPs on this measure. In everyday language, humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. A healthier neighbor overall sits at ZIP 94941, about 7.5 miles away.
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 65%
21%
Social Need / SDOH
healthier than 83%
16%
Environmental Hazard
in the top 0.8%
14%
Preventive Care
healthier than 95%
13%
Risk Behavior
in the top 0.7%
11%
Mental Health
healthier than 93%
8%
Disability
healthier than 83%
7%
Climate / Disaster Risk
healthier than 66%
5%
Holding it back
Healthcare Access
healthier than 26%
5%
Lifting this score
Social Need / SDOH
healthier than 77%
16%
Environmental Hazard
in the top 0.2%
14%
Preventive Care
healthier than 99%
13%
Risk Behavior
healthier than 98%
11%
Mental Health
healthier than 93%
8%
Disability
healthier than 78%
7%
About typical
Climate / Disaster Risk
healthier than 48%
5%
Holding it back
Chronic Disease Burden
healthier than 30%
21%
Healthcare Access
healthier than 17%
5%
Lifting this score
Environmental Hazard
in the top 0.00%
14%
Preventive Care
healthier than 98%
13%
Risk Behavior
healthier than 96%
11%
Mental Health
healthier than 80%
8%
Holding it back
Chronic Disease Burden
healthier than 2%
21%
Social Need / SDOH
healthier than 35%
16%
Disability
healthier than 39%
7%
Climate / Disaster Risk
healthier than 29%
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
94940
Californiashares a border
Score 65.02
Closest healthier
94941
Californiaabout 7.5 mi away
Score 71.47
Similar health profile
92091
California99% similar profile
Score 70.32
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 | 30.7% | 27.1–34.5 |
| High blood pressure among adults | 37.2% | 32.9–41.6 |
| Cancer (non-skin) or melanoma among adults | 14.1% | 12.7–15.5 |
| Current asthma among adults | 9.3% | 8.2–10.5 |
| Coronary heart disease among adults | 8.0% | 7.0–9.3 |
| Chronic obstructive pulmonary disease among adults | 5.7% | 4.6–7.1 |
| Depression among adults | 20.0% | 16.9–23.3 |
| Diagnosed diabetes among adults | 11.0% | 9.3–13.0 |
| High cholesterol among adults who have ever been screened | 40.9% | 36.5–45.4 |
| Obesity among adults | 20.9% | 15.9–26.6 |
| Stroke among adults | 3.7% | 3.2–4.3 |
| All teeth lost among adults aged >=65 years | 5.3% | 4.2–6.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 4.2% | 3.4–5.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.5% | 77.2–83.3 |
| Visits to doctor for routine checkup within the past year among adults | 78.5% | 75.1–81.6 |
| Cholesterol screening among adults | 92.7% | 91.6–93.6 |
| Colorectal cancer screening among adults aged 45–75 years | 72.3% | 67.6–76.4 |
| Visited dentist or dental clinic in the past year among adults | 74.8% | 71.6–77.5 |
| Mammography use among women aged 50-74 years | 79.0% | 71.9–84.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.6% | 11.2–16.3 |
| Current cigarette smoking among adults | 6.8% | 5.3–8.6 |
| No leisure-time physical activity among adults | 16.9% | 13.5–21.1 |
| Short sleep duration among adults | 26.9% | 21.8–32.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 15.5% | 13.0–18.5 |
| Frequent mental distress among adults | 12.3% | 10.6–14.0 |
| Frequent physical distress among adults | 12.1% | 10.3–14.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 9.4% | 8.0–11.0 |
| Any disability among adults | 28.4% | 24.2–33.2 |
| Hearing disability among adults | 8.3% | 7.2–9.6 |
| Independent living disability among adults | 5.9% | 5.0–7.1 |
| Mobility disability among adults | 13.5% | 11.2–16.2 |
| Self-care disability among adults | 2.9% | 2.5–3.4 |
| 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 | 18.4% | 15.6–21.7 |
| Food insecurity in the past 12 months among adults | 6.1% | 4.8–7.6 |
| Received food stamps in the past 12 months among adults | 5.6% | 4.3–7.1 |
| Housing insecurity in the past 12 months among adults | 5.8% | 4.7–7.0 |
| Lack of reliable transportation in the past 12 months among adults | 4.2% | 3.5–4.9 |
| Loneliness among adults | 26.5% | 22.5–30.9 |
| Utility services shut-off threat in the past 12 months among adults | 3.3% | 2.8–4.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.3% | 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+) | 58.0% | 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 | 6.7% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 96.3% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 33.0% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 73.7% | 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 | 5.7% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 75.3% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 50.2% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 65.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $78,281 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $1,791,700 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,647 | $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 | 85.8 yr ± 3.39 | 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 3.39 years of 85.8, 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