ZIP code
92114
in San Diego, CaliforniaPopulation 65,745
56.39/ 100
Ranked #7,872 of 32,066 US ZIPs (top 25%)
Ranked #704 of 1,719 California ZIPs (top 41%)
Ranked #74 of 106 San Diego-Chula Vista-Carlsbad, CA ZIPs (bottom 30%)
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.
Subsidized affordable housing
671 units
in the top 3.0% nationally
Higher is healthier
ST92ndUS97thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Lead in tap water
0 ppb
at the national minimum
Lower is healthier
US1stDefinition & source ›
The lead level at the 90th percentile of tap-water samples reported by the public water systems serving this ZIP, in parts per billion — the EPA requires action above 15 ppb.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›Loneliness
39.5%
in the top 5.1% nationally
Lower is healthier
ST80thUS95thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Crowded housing
8.2%
in the top 6.4% nationally
Lower is healthier
ST69thUS94thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Obesity
27.1%
in the bottom 9.4% nationally
Lower is healthier
ST39thUS9thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Walkability
110 intersections/sq mi
in the top 9.4% nationally
Higher is healthier
ST76thUS91stDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Housing-cost burden
40.1%
in the top 9.9% nationally
Lower is healthier
ST59thUS90thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Hearing disability
5.3%
in the bottom 9.0% nationally
Lower is healthier
ST22ndUS9thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Colon-cancer screening
58.3%
in the bottom 9.9% nationally
Higher is healthier
ST35thUS10thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Distance to a Superfund site
42.9 mi
in the top 16% nationally
Higher is healthier
ST93rdUS84thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Superfund site — an abandoned or uncontrolled hazardous-waste site the EPA has listed for cleanup.
Full methodology ›The read
By the composite measure, ZIP 92114, one of several in San Diego, California sits in the top 25% healthiest ZIPs nationally (7,872nd) and the top 41% of California (704th).
Where this area does well, the measures make it plain: subsidized affordable housing lands in the top 3.0% nationally, lead in tap water resides at the national minimum, and modeled obesity lies in the bottom 9.4% nationally. Walkability settles in the top 9.4% nationally, and modeled hearing disability stands in the bottom 9.0% nationally. Against that, modeled loneliness is in the top 5.1% nationally, and crowded housing rests in the top 6.4% nationally. Housing-cost burden sits in the top 9.9% nationally, and modeled housing insecurity registers in the top 10.4% nationally. Modeled colon screening lands in the bottom 9.9% nationally.
Compared with the ZIPs that surround it, park land runs far higher than the surrounding ZIPs on this measure. In plain language, lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Subsidized affordable housing is the main federal tax-credit program (HUD) funding affordable rental housing, counted as local units it supports. ZIP 91977, just across the boundary, 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 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
healthier than 88%
21%
Environmental Hazard
healthier than 65%
14%
Risk Behavior
healthier than 65%
11%
Mental Health
healthier than 78%
8%
Climate / Disaster Risk
healthier than 84%
5%
Healthcare Access
healthier than 92%
5%
About typical
Disability
healthier than 51%
7%
Holding it back
Social Need / SDOH
healthier than 31%
16%
Preventive Care
healthier than 14%
13%
Lifting this score
Chronic Disease Burden
healthier than 65%
21%
Environmental Hazard
healthier than 81%
14%
Mental Health
healthier than 76%
8%
Climate / Disaster Risk
healthier than 67%
5%
Healthcare Access
healthier than 86%
5%
About typical
Risk Behavior
healthier than 41%
11%
Disability
healthier than 49%
7%
Holding it back
Social Need / SDOH
healthier than 35%
16%
Preventive Care
healthier than 35%
13%
Lifting this score
Mental Health
healthier than 80%
8%
Healthcare Access
healthier than 87%
5%
About typical
Chronic Disease Burden
healthier than 44%
21%
Environmental Hazard
healthier than 55%
14%
Climate / Disaster Risk
healthier than 55%
5%
Holding it back
Social Need / SDOH
healthier than 20%
16%
Preventive Care
healthier than 25%
13%
Risk Behavior
healthier than 21%
11%
Disability
healthier than 28%
7%
“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
91945
Californiashares a border
Score 55.12
Closest healthier
91977
Californiashares a border
Score 58.05
Similar health profile
94572
California96% similar profile
Score 55.92
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 | 19.4% | 17.7–21.4 |
| High blood pressure among adults | 32.1% | 29.8–34.7 |
| Cancer (non-skin) or melanoma among adults | 5.0% | 4.5–5.5 |
| Current asthma among adults | 8.9% | 8.1–10.0 |
| Coronary heart disease among adults | 5.5% | 5.1–6.1 |
| Chronic obstructive pulmonary disease among adults | 4.9% | 4.5–5.5 |
| Depression among adults | 18.4% | 16.5–20.6 |
| Diagnosed diabetes among adults | 13.5% | 12.2–15.1 |
| High cholesterol among adults who have ever been screened | 34.8% | 32.3–37.6 |
| Obesity among adults | 27.1% | 24.0–30.6 |
| Stroke among adults | 3.5% | 3.2–3.7 |
| All teeth lost among adults aged >=65 years | 13.2% | 10.9–15.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 12.4% | 11.0–14.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 70.7% | 68.1–73.4 |
| Visits to doctor for routine checkup within the past year among adults | 73.1% | 70.5–76.0 |
| Cholesterol screening among adults | 84.5% | 83.0–86.2 |
| Colorectal cancer screening among adults aged 45–75 years | 58.3% | 54.2–62.2 |
| Visited dentist or dental clinic in the past year among adults | 56.9% | 53.8–59.8 |
| Mammography use among women aged 50-74 years | 75.7% | 69.6–80.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.9% | 12.1–16.0 |
| Current cigarette smoking among adults | 11.4% | 10.1–12.9 |
| No leisure-time physical activity among adults | 27.2% | 24.6–30.3 |
| Short sleep duration among adults | 38.6% | 35.0–42.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 24.1% | 22.1–26.3 |
| Frequent mental distress among adults | 16.8% | 15.3–18.5 |
| Frequent physical distress among adults | 13.4% | 12.2–14.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.5% | 14.1–17.0 |
| Any disability among adults | 30.5% | 28.0–33.2 |
| Hearing disability among adults | 5.3% | 4.8–5.9 |
| Independent living disability among adults | 8.7% | 7.9–9.5 |
| Mobility disability among adults | 14.8% | 13.4–16.3 |
| Self-care disability among adults | 4.4% | 4.1–4.8 |
| Vision disability among adults | 6.7% | 6.2–7.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 34.9% | 31.8–38.2 |
| Food insecurity in the past 12 months among adults | 23.3% | 20.9–25.7 |
| Received food stamps in the past 12 months among adults | 20.7% | 18.6–22.9 |
| Housing insecurity in the past 12 months among adults | 19.1% | 17.1–21.3 |
| Lack of reliable transportation in the past 12 months among adults | 11.4% | 10.2–12.6 |
| Loneliness among adults | 39.5% | 36.2–43.0 |
| Utility services shut-off threat in the past 12 months among adults | 8.9% | 7.8–10.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 12.0% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 10.1% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 17.8% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 22.1% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 6.2% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 5.6% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 93.8% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 40.1% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 69.8% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 8.2% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 31.4% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 41.3% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 17.6% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 38.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $97,794 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $649,200 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,897 | $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 | 79.2 yr ± 0.54 | 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 0.54 years of 79.2, 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