ZIP code
92134
in San Diego, CaliforniaPopulation 290
59.17/ 100
Ranked #5,474 of 32,066 US ZIPs (top 17%)
Ranked #551 of 1,719 California ZIPs (top 32%)
Ranked #57 of 106 San Diego-Chula Vista-Carlsbad, CA ZIPs (bottom 46%)
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.
High cholesterol
12.0%
in the bottom 0.2% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›High blood pressure
8.5%
in the bottom 0.09% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Binge drinking
25.6%
in the top 0.5% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.
Full methodology ›Transportation noise
99.3%
in the top 0.04% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Diabetes
1.3%
in the bottom 0.2% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Coronary heart disease
0.70%
in the bottom 0.2% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Obesity
16.5%
in the bottom 0.2% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Stroke
0.50%
in the bottom 0.3% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Loneliness
50.2%
in the top 0.2% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Hearing disability
1.7%
in the bottom 0.09% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›The read
ZIP 92134, one of several in San Diego, California, in overall standing, comes out in the top 17% healthiest ZIPs nationally (5,474th) and the top 32% of California (551st).
An even profile, with readings pulling both ways: modeled diabetes is in the bottom 0.2% nationally, coronary heart disease lies in the bottom 0.2% nationally, and obesity registers in the bottom 0.2% nationally. Modeled stroke is in the bottom 0.3% nationally, and mobility disability lies in the bottom 0.2% nationally. Against that, modeled binge drinking registers in the top 0.5% nationally, and transportation noise is in the top 0.04% nationally. Modeled loneliness lies in the top 0.2% nationally, and homeownership registers at the national minimum. Unemployment is in the top 0.6% nationally.
Set within its surrounding area, transportation noise runs far higher than the surrounding ZIPs on this measure. Defined simply, for reference, transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. The closest healthier ZIP overall is ZIP 92101, 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 Diego-Chula Vista-Carlsbad, 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
in the top 0.2%
21%
Risk Behavior
healthier than 75%
11%
Disability
healthier than 99%
7%
Climate / Disaster Risk
healthier than 88%
5%
Healthcare Access
healthier than 79%
5%
Holding it back
Social Need / SDOH
healthier than 8%
16%
Environmental Hazard
healthier than 8%
14%
Preventive Care
healthier than 4%
13%
Mental Health
healthier than 9%
8%
Lifting this score
Chronic Disease Burden
in the top 0.4%
21%
Disability
healthier than 98%
7%
Climate / Disaster Risk
healthier than 74%
5%
About typical
Risk Behavior
healthier than 52%
11%
Healthcare Access
healthier than 58%
5%
Holding it back
Social Need / SDOH
healthier than 14%
16%
Environmental Hazard
healthier than 32%
14%
Preventive Care
healthier than 14%
13%
Mental Health
healthier than 3%
8%
Lifting this score
Chronic Disease Burden
healthier than 96%
21%
Disability
healthier than 97%
7%
Climate / Disaster Risk
healthier than 66%
5%
About typical
Healthcare Access
healthier than 52%
5%
Holding it back
Social Need / SDOH
healthier than 2%
16%
Environmental Hazard
healthier than 2%
14%
Preventive Care
healthier than 9%
13%
Risk Behavior
healthier than 37%
11%
Mental Health
in the bottom 0.00%
8%
“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
92101
Californiashares a border
Score 59.99
Closest healthier
92104
Californiashares a border
Score 62.61
Similar health profile
12222
New York99% similar profile
Score 63.13
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 | 3.2% | 2.8–3.6 |
| High blood pressure among adults | 8.5% | 7.4–9.7 |
| Cancer (non-skin) or melanoma among adults | 0.9% | 0.8–1.0 |
| Current asthma among adults | 9.1% | 8.1–10.1 |
| Coronary heart disease among adults | 0.7% | 0.6–0.8 |
| Chronic obstructive pulmonary disease among adults | 1.1% | 0.9–1.3 |
| Depression among adults | 24.0% | 21.4–26.7 |
| Diagnosed diabetes among adults | 1.3% | 1.1–1.5 |
| High cholesterol among adults who have ever been screened | 12.0% | 10.7–13.5 |
| Obesity among adults | 16.5% | 14.1–19.3 |
| Stroke among adults | 0.5% | 0.4–0.5 |
| All teeth lost among adults aged >=65 years | 8.3% | 6.5–10.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.6% | 5.8–9.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 18.4% | 16.5–20.7 |
| Visits to doctor for routine checkup within the past year among adults | 60.6% | 56.9–64.7 |
| Cholesterol screening among adults | 69.1% | 65.0–73.9 |
| Colorectal cancer screening among adults aged 45–75 years | 54.3% | 50.1–58.4 |
| Visited dentist or dental clinic in the past year among adults | 61.0% | 57.9–64.1 |
| Mammography use among women aged 50-74 years | 78.5% | 72.3–83.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 25.6% | 22.5–29.1 |
| Current cigarette smoking among adults | 4.9% | 3.7–6.0 |
| No leisure-time physical activity among adults | 12.4% | 9.9–14.9 |
| Short sleep duration among adults | 35.1% | 31.5–38.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 10.2% | 8.4–12.0 |
| Frequent mental distress among adults | 22.7% | 19.6–25.6 |
| Frequent physical distress among adults | 6.1% | 5.2–7.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.1% | 15.0–21.0 |
| Any disability among adults | 21.6% | 18.0–24.9 |
| Hearing disability among adults | 1.7% | 1.4–1.9 |
| Independent living disability among adults | 6.3% | 5.1–7.3 |
| Mobility disability among adults | 2.2% | 1.9–2.6 |
| Self-care disability among adults | 0.8% | 0.7–1.0 |
| Vision disability among adults | 2.6% | 2.1–3.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 34.6% | 29.8–39.1 |
| Food insecurity in the past 12 months among adults | 13.1% | 10.0–15.8 |
| Received food stamps in the past 12 months among adults | 8.2% | 6.1–10.0 |
| Housing insecurity in the past 12 months among adults | 11.4% | 9.1–13.7 |
| Lack of reliable transportation in the past 12 months among adults | 9.2% | 7.4–10.8 |
| Loneliness among adults | 50.2% | 45.9–54.6 |
| Utility services shut-off threat in the past 12 months among adults | 4.2% | 3.4–5.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 0.0% | 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+) | 51.2% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 34.0% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 0.0% | 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) | 0.0% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 0.0% | 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 | 6.2% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 0.0% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 2.1% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 22.2 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 | — | $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