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ZipVitals

ZIP code

93923

in Carmel, CaliforniaPopulation 12,565

69.22/ 100

Ranked #726 of 32,066 US ZIPs (top 2.3%)

Ranked #111 of 1,719 California ZIPs (top 6.5%)

Ranked #3 of 28 Salinas, CA ZIPs (top 10.8%)

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.

Utility shut-off threat

3.0%

in the bottom 0.5% nationally

Lower is healthier

ST2nd
US1st
Definition & source ›

The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.

Full methodology ›

Housing insecurity

5.0%

in the bottom 0.7% nationally

Lower is healthier

ST1st
US1st
Definition & source ›

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

Full methodology ›

Food insecurity

5.8%

in the bottom 1.1% nationally

Lower is healthier

ST2nd
US1st
Definition & source ›

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

Full methodology ›

Lack of transportation

3.9%

in the bottom 1.3% nationally

Lower is healthier

ST2nd
US1st
Definition & source ›

The estimated share of adults who lacked reliable transportation in the past 12 months.

Full methodology ›

Industrial-pollution burden

in the bottom 1.3% nationally

Lower is healthier

ST4th
US1st
Definition & 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 ›

Short sleep

25.9%

in the bottom 0.7% nationally

Lower is healthier

ST1st
US1st
Definition & source ›

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

Full methodology ›

Grocery access

0.41 per 1,000 residents

in the top 2.3% nationally

Higher is healthier

ST99th
US98th
Definition & source ›

The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”

Full methodology ›

Obesity

24.1%

in the bottom 4.3% nationally

Lower is healthier

ST22nd
US4th
Definition & source ›

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

Full methodology ›

Median household income

$142,474

in the top 4.8% nationally

Higher is healthier

ST84th
US95th
Definition & source ›

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

Full methodology ›

Humid extreme heat

5.2 days/year

in the bottom 3.3% nationally

Lower is healthier

ST8th
US3rd
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 ›

The read

Carmel, California (ZIP 93923), in overall standing, comes out in the top 2.3% healthiest ZIPs nationally (726th) and the top 6.5% of California (111th).

continue reading

An even profile, with readings pulling both ways: modeled utility shutoff lies in the bottom 0.5% nationally, housing insecurity registers in the bottom 0.7% nationally, and food insecurity is in the bottom 1.1% nationally. Modeled transportation lies in the bottom 1.3% nationally, industrial-pollution burden registers in the bottom 1.3% nationally, and short sleep is in the bottom 0.7% nationally. Grocery lies in the top 2.3% nationally, and modeled obesity registers in the bottom 4.3% nationally. Household income is in the top 4.8% nationally, and modeled humid heat lies in the bottom 3.3% nationally.

Set within its surrounding area, park land runs far higher than the surrounding ZIPs on this measure. Defined simply, for reference, 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. The closest healthier ZIP overall is ZIP 93921, 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 Salinas, 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

Social Need / SDOH

in the top 0.8%

16%

Environmental Hazard

healthier than 87%

14%

Preventive Care

healthier than 98%

13%

Risk Behavior

in the top 0.4%

11%

Mental Health

healthier than 97%

8%

Disability

healthier than 79%

7%

Climate / Disaster Risk

healthier than 98%

5%

Healthcare Access

healthier than 71%

5%

About typical

Chronic Disease Burden

healthier than 51%

21%

Nothing measured is holding this score back.

Lifting this score

Social Need / SDOH

healthier than 99%

16%

Environmental Hazard

healthier than 91%

14%

Preventive Care

in the top 0.7%

13%

Risk Behavior

in the top 0.9%

11%

Mental Health

healthier than 98%

8%

Disability

healthier than 74%

7%

Climate / Disaster Risk

healthier than 97%

5%

About typical

Healthcare Access

healthier than 48%

5%

Holding it back

Chronic Disease Burden

healthier than 20%

21%

Lifting this score

Social Need / SDOH

in the top 0.00%

16%

Environmental Hazard

healthier than 89%

14%

Preventive Care

healthier than 93%

13%

Risk Behavior

healthier than 93%

11%

Mental Health

healthier than 93%

8%

Disability

healthier than 78%

7%

Climate / Disaster Risk

healthier than 96%

5%

Healthcare Access

healthier than 67%

5%

Holding it back

Chronic Disease Burden

healthier than 7%

21%

“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 ›

Findings that name this ZIP

One of our published findings lists this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.

  • Above what income predicts

    The ZIP codes that outlive their incomes

    Estimated life expectancy is 84.2 ± 1.2 years. A median household income of $142,474 predicts 81.5 years — 2.8 years above.

    Ranked #530 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.

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 adults32.7%29.0–36.5
High blood pressure among adults40.6%36.4–45.0
Cancer (non-skin) or melanoma among adults15.0%13.7–16.4
Current asthma among adults9.5%8.3–10.7
Coronary heart disease among adults8.3%7.4–9.3
Chronic obstructive pulmonary disease among adults6.0%5.2–6.9
Depression among adults18.1%15.4–21.1
Diagnosed diabetes among adults11.5%9.9–13.3
High cholesterol among adults who have ever been screened43.4%39.0–48.0
Obesity among adults24.1%19.2–29.8
Stroke among adults4.0%3.6–4.4
All teeth lost among adults aged >=65 years5.5%4.4–6.8
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years3.5%2.9–4.2
Taking medicine to control high blood pressure among adults with high blood pressure81.5%78.4–84.3
Visits to doctor for routine checkup within the past year among adults82.6%79.8–85.1
Cholesterol screening among adults93.5%92.6–94.3
Colorectal cancer screening among adults aged 45–75 years75.1%70.7–79.0
Visited dentist or dental clinic in the past year among adults76.0%73.0–78.6
Mammography use among women aged 50-74 years76.9%69.6–83.2
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults12.6%10.5–15.0
Current cigarette smoking among adults6.7%5.6–8.1
No leisure-time physical activity among adults16.8%14.0–20.2
Short sleep duration among adults25.9%21.2–30.9
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults15.5%13.5–17.9
Frequent mental distress among adults11.3%10.0–12.8
Frequent physical distress among adults12.0%10.6–13.7
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults9.1%8.0–10.5
Any disability among adults27.3%23.8–31.3
Hearing disability among adults8.9%7.9–10.0
Independent living disability among adults6.2%5.5–7.1
Mobility disability among adults14.3%12.4–16.5
Self-care disability among adults3.0%2.7–3.4
Vision disability among adults3.7%3.4–4.2
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults18.2%15.4–21.1
Food insecurity in the past 12 months among adults5.8%4.8–6.9
Received food stamps in the past 12 months among adults5.3%4.4–6.3
Housing insecurity in the past 12 months among adults5.0%4.2–5.8
Lack of reliable transportation in the past 12 months among adults3.9%3.4–4.5
Loneliness among adults27.2%23.1–31.7
Utility services shut-off threat in the past 12 months among adults3.0%2.6–3.5
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)CA median (p10–p90)
Poverty rate8.2%10.6% (3.1–25.8%) n=32,36410.6% (4.1–24.9%) n=1,714
Uninsured 18–645.1%9.0% (1.5–24.3%) n=32,2867.7% (1.7–17.9%) n=1,704
No HS diploma (25+)4.7%7.9% (1.8–20.7%) n=32,5059.8% (1.4–30.9%) n=1,729
Bachelor's or higher (25+)64.9%23.3% (9.2–53.6%) n=32,50531.3% (9.9–68.2%) n=1,729
Unemployment rate (16+)4.7%3.9% (0.0–9.8%) n=32,2746.1% (0.8–12.0%) n=1,714
Households without a vehicle5.8%3.9% (0.0–12.5%) n=32,3224.5% (0.0–12.2%) n=1,708
Broadband subscription93.6%89.3% (75.1–97.1%) n=32,32293.4% (82.1–98.4%) n=1,708
Housing cost burden (≥30% income)38.7%23.7% (10.6–40.0%) n=32,32238.6% (24.4–50.5%) n=1,708
Homeownership rate76.7%78.7% (51.7–94.0%) n=32,32264.1% (31.9–86.4%) n=1,708
Crowded housing (>1 per room)0.5%1.3% (0.0–6.3%) n=32,3224.8% (0.0–15.9%) n=1,708
Foreign-born population12.4%2.6% (0.0–18.6%) n=32,55318.9% (3.0–40.4%) n=1,730
Single-parent households62.2%53.6% (37.3–74.1%) n=32,08748.4% (35.1–72.3%) n=1,692
Population 65+39.2%19.4% (10.8–33.6%) n=32,55317.0% (9.7–35.7%) n=1,730
Median age59.4 yr42.2 yr (33.0–56.3) n=32,29240.1 yr (31.8–57.0) n=1,712
Median household income$142,474$72,070 ($46,039–$118,707) n=30,318$93,448 ($54,188–$159,562) n=1,584
Median home value$1,767,800$222,200 ($100,300–$579,820) n=30,049$659,800 ($300,520–$1,493,340) n=1,593
Median gross rent$2,136$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 birth84.2 yr ± 0.6178.9 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 0.61 years of 84.2, 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