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ZipVitals

ZIP code

94929

in Dillon Beach, CaliforniaPopulation 293

65.29/ 100

Ranked #1,892 of 32,066 US ZIPs (top 6.0%)

Ranked #255 of 1,719 California ZIPs (top 14.9%)

Ranked #92 of 174 San Francisco-Oakland-Fremont, CA ZIPs (bottom 47%)

Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.

Robust across all 9 health domains

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.

Median household income

$209,536

in the top 0.9% nationally

Higher is healthier

ST97th
US99th
Definition & source ›

The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.

Full methodology ›

Obesity

21.7%

in the bottom 1.8% nationally

Lower is healthier

ST11th
US2nd
Definition & source ›

The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.

Full methodology ›

Housing-cost burden

0.00%

at the national minimum

Lower is healthier

ST1st
US1st
Definition & source ›

The share of households spending 30% or more of their income on housing.

Full methodology ›

Utility shut-off threat

3.6%

in the bottom 2.0% nationally

Lower is healthier

ST6th
US2nd
Definition & 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

3.4 days/year

in the bottom 2.0% nationally

Lower is healthier

ST4th
US2nd
Definition & 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 ›

Poverty rate

0.00%

at the national minimum

Lower is healthier

ST1st
US1st
Definition & source ›

The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.

Full methodology ›

Home broadband subscription

100%

at the national maximum

Higher is healthier

ST99th
US99th
Definition & source ›

The share of households with a broadband internet subscription.

Full methodology ›

Housing insecurity

6.2%

in the bottom 3.3% nationally

Lower is healthier

ST4th
US3rd
Definition & source ›

The estimated share of adults who experienced housing insecurity in the past 12 months.

Full methodology ›

Food insecurity

7.0%

in the bottom 3.6% nationally

Lower is healthier

ST5th
US4th
Definition & source ›

The estimated share of adults who experienced food insecurity in the past 12 months.

Full methodology ›

Short sleep

27.8%

in the bottom 2.7% nationally

Lower is healthier

ST3rd
US3rd
Definition & source ›

The estimated share of adults who usually sleep less than seven hours in a 24-hour period.

Full methodology ›

The read

By the composite measure, Dillon Beach, California (ZIP 94929) sits in the top 6.0% healthiest ZIPs nationally (1,892nd) and the top 14.9% of California (255th).

continue reading

The readings split fairly evenly between strengths and concerns: household income settles in the top 0.9% nationally, modeled obesity stands in the bottom 1.8% nationally, and housing-cost burden is at the national minimum. Modeled utility shutoff rests in the bottom 2.0% nationally, modeled humid heat sits in the bottom 2.0% nationally, and poverty registers at the national minimum. Home broadband subscription lands at the national maximum, and modeled housing insecurity resides in the bottom 3.3% nationally. Modeled food insecurity lies in the bottom 3.6% nationally, and short sleep settles in the bottom 2.7% nationally.

Compared with the ZIPs that surround it, park land runs far lower than the surrounding ZIPs on this measure. In plain language, humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. ZIP 94937, about 0.7 miles away, ranks healthier overall.

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.

Compare within

Lifting this score

Chronic Disease Burden

healthier than 61%

21%

Social Need / SDOH

healthier than 94%

16%

Environmental Hazard

healthier than 99%

14%

Preventive Care

healthier than 95%

13%

Risk Behavior

healthier than 98%

11%

Mental Health

healthier than 84%

8%

Disability

healthier than 75%

7%

Climate / Disaster Risk

healthier than 98%

5%

Holding it back

Healthcare Access

healthier than 12%

5%

Lifting this score

Social Need / SDOH

healthier than 91%

16%

Environmental Hazard

in the top 0.6%

14%

Preventive Care

healthier than 98%

13%

Risk Behavior

healthier than 96%

11%

Mental Health

healthier than 84%

8%

Disability

healthier than 70%

7%

Climate / Disaster Risk

healthier than 98%

5%

Holding it back

Chronic Disease Burden

healthier than 27%

21%

Healthcare Access

healthier than 7%

5%

Lifting this score

Social Need / SDOH

healthier than 63%

16%

Environmental Hazard

in the top 0.6%

14%

Preventive Care

healthier than 97%

13%

Risk Behavior

healthier than 83%

11%

Climate / Disaster Risk

healthier than 95%

5%

About typical

Mental Health

healthier than 56%

8%

Holding it back

Chronic Disease Burden

healthier than 2%

21%

Disability

healthier than 24%

7%

Healthcare Access

in the bottom 0.00%

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.

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
MeasureCrude prevalence95% CI
Arthritis among adults30.9%27.0–34.6
High blood pressure among adults37.7%33.2–42.0
Cancer (non-skin) or melanoma among adults13.6%12.2–15.0
Current asthma among adults9.5%8.3–10.8
Coronary heart disease among adults8.3%7.1–9.8
Chronic obstructive pulmonary disease among adults6.6%5.0–8.5
Depression among adults21.3%17.9–24.7
Diagnosed diabetes among adults11.4%9.5–13.6
High cholesterol among adults who have ever been screened41.3%36.9–45.8
Obesity among adults21.7%16.3–27.5
Stroke among adults3.9%3.2–4.6
All teeth lost among adults aged >=65 years4.7%3.6–5.8
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years3.8%2.6–5.2
Taking medicine to control high blood pressure among adults with high blood pressure79.8%76.6–82.8
Visits to doctor for routine checkup within the past year among adults77.4%73.8–80.9
Cholesterol screening among adults92.0%90.6–93.3
Colorectal cancer screening among adults aged 45–75 years73.4%68.5–77.6
Visited dentist or dental clinic in the past year among adults75.6%72.4–78.3
Mammography use among women aged 50-74 years79.8%72.4–85.4
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults14.3%11.7–17.1
Current cigarette smoking among adults8.7%6.3–11.6
No leisure-time physical activity among adults18.1%14.1–22.7
Short sleep duration among adults27.8%22.5–33.1
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults17.0%13.8–20.9
Frequent mental distress among adults13.6%11.6–15.7
Frequent physical distress among adults13.2%11.0–15.6
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults10.7%8.8–13.0
Any disability among adults29.8%25.0–34.8
Hearing disability among adults8.4%7.2–9.8
Independent living disability among adults6.6%5.3–8.1
Mobility disability among adults14.3%11.5–17.5
Self-care disability among adults3.3%2.6–4.1
Vision disability among adults3.8%3.1–4.6
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults19.6%16.1–23.3
Food insecurity in the past 12 months among adults7.0%5.1–9.4
Received food stamps in the past 12 months among adults6.7%4.7–9.3
Housing insecurity in the past 12 months among adults6.2%4.7–7.8
Lack of reliable transportation in the past 12 months among adults4.6%3.7–5.6
Loneliness among adults27.5%23.1–32.0
Utility services shut-off threat in the past 12 months among adults3.6%2.8–4.5
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)CA median (p10–p90)
Poverty rate0.0%10.6% (3.1–25.8%) n=32,36410.6% (4.1–24.9%) n=1,714
Uninsured 18–640.0%9.0% (1.5–24.3%) n=32,2867.7% (1.7–17.9%) n=1,704
No HS diploma (25+)0.0%7.9% (1.8–20.7%) n=32,5059.8% (1.4–30.9%) n=1,729
Bachelor's or higher (25+)72.7%23.3% (9.2–53.6%) n=32,50531.3% (9.9–68.2%) n=1,729
Unemployment rate (16+)0.0%3.9% (0.0–9.8%) n=32,2746.1% (0.8–12.0%) n=1,714
Households without a vehicle0.0%3.9% (0.0–12.5%) n=32,3224.5% (0.0–12.2%) n=1,708
Broadband subscription100.0%89.3% (75.1–97.1%) n=32,32293.4% (82.1–98.4%) n=1,708
Housing cost burden (≥30% income)0.0%23.7% (10.6–40.0%) n=32,32238.6% (24.4–50.5%) n=1,708
Homeownership rate83.2%78.7% (51.7–94.0%) n=32,32264.1% (31.9–86.4%) n=1,708
Crowded housing (>1 per room)0.0%1.3% (0.0–6.3%) n=32,3224.8% (0.0–15.9%) n=1,708
Foreign-born population0.0%2.6% (0.0–18.6%) n=32,55318.9% (3.0–40.4%) n=1,730
Single-parent households100.0%53.6% (37.3–74.1%) n=32,08748.4% (35.1–72.3%) n=1,692
Population 65+18.1%19.4% (10.8–33.6%) n=32,55317.0% (9.7–35.7%) n=1,730
Median age61.1 yr42.2 yr (33.0–56.3) n=32,29240.1 yr (31.8–57.0) n=1,712
Median household income$209,536$72,070 ($46,039–$118,707) n=30,318$93,448 ($54,188–$159,562) n=1,584
Median home value$1,660,000$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
MeasureValueUS median (p10–p90)CA median (p10–p90)
Life expectancy at birth86.9 yr ± 3.3878.9 yr (74.7–82.8) n=31,30880.5 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 ▾

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