ZIP code
92130
in San Diego, CaliforniaPopulation 60,768
74.34/ 100
Ranked #75 of 32,066 US ZIPs (top 0.3%)
Ranked #15 of 1,719 California ZIPs (top 0.9%)
Ranked #2 of 106 San Diego-Chula Vista-Carlsbad, CA ZIPs (top 1.9%)
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.
Median household income
$205,680
in the top 1.0% nationally
Higher is healthier
ST97thUS99thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Obesity
19.6%
in the bottom 0.9% nationally
Lower is healthier
ST6thUS1stDefinition & 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 ›Subsidized affordable housing
762 units
in the top 2.4% nationally
Higher is healthier
ST94thUS98thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Hearing disability
3.8%
in the bottom 1.8% nationally
Lower is healthier
ST3rdUS2ndDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Lack of transportation
4.3%
in the bottom 2.6% nationally
Lower is healthier
ST4thUS3rdDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Coronary heart disease
3.6%
in the bottom 2.3% nationally
Lower is healthier
ST4thUS2ndDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Food insecurity
6.8%
in the bottom 3.1% nationally
Lower is healthier
ST4thUS3rdDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›High blood pressure
24.8%
in the bottom 2.7% nationally
Lower is healthier
ST6thUS3rdDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Stroke
1.9%
in the bottom 2.0% nationally
Lower is healthier
ST3rdUS2ndDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›The read
ZIP 92130, one of several in San Diego, California ranks in the top 0.3% healthiest ZIPs nationally (75th) and the top 0.9% of California (15th).
Several signals sit on each side of the ledger here: household income registers in the top 1.0% nationally, and modeled obesity lies in the bottom 0.9% nationally. Modeled utility shutoff is in the bottom 1.1% nationally, and subsidized affordable housing registers in the top 2.4% nationally. Modeled hearing disability lies in the bottom 1.8% nationally, transportation is in the bottom 2.6% nationally, and coronary heart disease registers in the bottom 2.3% nationally. Modeled food insecurity lies in the bottom 3.1% nationally, high blood pressure is in the bottom 2.7% nationally, and stroke registers in the bottom 2.0% nationally.
Against its neighbors, park land runs far higher than the surrounding ZIPs on this measure. For context, subsidized affordable housing is the main federal tax-credit program (HUD) funding affordable rental housing, counted as local units it supports. The closest ZIP that ranks healthier overall is ZIP 92014, just across the boundary. The area also sits on the healthier half of the national range on at least seven of the ten good-life measures tracked here, from quiet and green space to nearby care, a combination reached by about one in twenty-five US ZIP codes.
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 98%
21%
Social Need / SDOH
healthier than 98%
16%
Environmental Hazard
healthier than 79%
14%
Preventive Care
healthier than 64%
13%
Risk Behavior
healthier than 97%
11%
Mental Health
healthier than 93%
8%
Disability
in the top 0.7%
7%
Climate / Disaster Risk
healthier than 83%
5%
Healthcare Access
healthier than 69%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 96%
21%
Social Need / SDOH
healthier than 97%
16%
Environmental Hazard
healthier than 87%
14%
Preventive Care
healthier than 80%
13%
Risk Behavior
healthier than 95%
11%
Mental Health
healthier than 93%
8%
Disability
in the top 1.0%
7%
Climate / Disaster Risk
healthier than 65%
5%
About typical
Healthcare Access
healthier than 45%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 88%
21%
Social Need / SDOH
healthier than 98%
16%
Environmental Hazard
healthier than 72%
14%
Preventive Care
healthier than 82%
13%
Risk Behavior
healthier than 96%
11%
Mental Health
healthier than 96%
8%
Disability
healthier than 99%
7%
About typical
Climate / Disaster Risk
healthier than 49%
5%
Healthcare Access
healthier than 40%
5%
Nothing measured is holding this score back.
“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
92014
Californiashares a border
Score 74.70
Similar health profile
94583
California99% similar profile
Score 71.36
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 | 17.0% | 15.5–18.9 |
| High blood pressure among adults | 24.8% | 22.7–27.2 |
| Cancer (non-skin) or melanoma among adults | 6.9% | 6.3–7.5 |
| Current asthma among adults | 8.2% | 7.4–9.2 |
| Coronary heart disease among adults | 3.6% | 3.3–4.0 |
| Chronic obstructive pulmonary disease among adults | 2.9% | 2.6–3.3 |
| Depression among adults | 19.3% | 17.3–21.7 |
| Diagnosed diabetes among adults | 7.6% | 6.8–8.6 |
| High cholesterol among adults who have ever been screened | 33.3% | 30.7–36.3 |
| Obesity among adults | 19.6% | 17.1–22.6 |
| Stroke among adults | 1.9% | 1.8–2.1 |
| All teeth lost among adults aged >=65 years | 4.4% | 3.5–5.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 3.1% | 2.7–3.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 67.6% | 64.3–71.1 |
| Visits to doctor for routine checkup within the past year among adults | 75.1% | 72.5–77.7 |
| Cholesterol screening among adults | 89.9% | 88.8–91.1 |
| Colorectal cancer screening among adults aged 45–75 years | 61.7% | 57.8–65.4 |
| Visited dentist or dental clinic in the past year among adults | 75.4% | 73.0–77.6 |
| Mammography use among women aged 50-74 years | 80.0% | 74.6–84.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.4% | 14.4–18.8 |
| Current cigarette smoking among adults | 6.1% | 5.3–7.1 |
| No leisure-time physical activity among adults | 13.2% | 11.7–15.2 |
| Short sleep duration among adults | 31.2% | 27.9–34.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 11.1% | 10.0–12.5 |
| Frequent mental distress among adults | 12.8% | 11.6–14.3 |
| Frequent physical distress among adults | 8.4% | 7.6–9.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 8.8% | 7.9–9.8 |
| Any disability among adults | 17.5% | 15.8–19.6 |
| Hearing disability among adults | 3.8% | 3.4–4.3 |
| Independent living disability among adults | 4.4% | 3.9–4.9 |
| Mobility disability among adults | 7.2% | 6.4–8.1 |
| Self-care disability among adults | 1.9% | 1.7–2.1 |
| Vision disability among adults | 2.6% | 2.4–2.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.4% | 21.9–27.2 |
| Food insecurity in the past 12 months among adults | 6.8% | 5.8–7.8 |
| Received food stamps in the past 12 months among adults | 5.4% | 4.7–6.3 |
| Housing insecurity in the past 12 months among adults | 6.5% | 5.7–7.5 |
| Lack of reliable transportation in the past 12 months among adults | 4.3% | 3.9–4.9 |
| Loneliness among adults | 32.3% | 29.2–35.5 |
| Utility services shut-off threat in the past 12 months among adults | 3.3% | 2.8–3.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 4.6% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 3.5% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 2.0% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 81.9% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 3.9% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 2.7% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 99.3% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 35.5% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 62.0% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 2.6% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 36.7% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 42.0% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 11.5% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 40.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $205,680 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $1,748,100 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $3,430 | $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 | 82.7 yr ± 0.59 | 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 0.59 years of 82.7, 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