ZIP code
92116
in San Diego, CaliforniaPopulation 31,843
64.48/ 100
Ranked #2,217 of 32,066 US ZIPs (top 7.0%)
Ranked #286 of 1,719 California ZIPs (top 17%)
Ranked #33 of 106 San Diego-Chula Vista-Carlsbad, CA ZIPs (top 31%)
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 blood pressure
24%
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 high blood pressure.
Full methodology ›High cholesterol
29.3%
in the bottom 2.8% nationally
Lower is healthier
ST3rdUS3rdDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Hearing disability
4.0%
in the bottom 2.1% nationally
Lower is healthier
ST4thUS2ndDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Floodplain exposure
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›Coronary heart disease
3.7%
in the bottom 2.5% 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 ›Walkability
180 intersections/sq mi
in the top 3.6% nationally
Higher is healthier
ST92ndUS96thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Homeownership rate
32.4%
in the bottom 3.6% nationally
Higher is healthier
ST10thUS4thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Obesity
25.2%
in the bottom 5.9% nationally
Lower is healthier
ST27thUS6thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Stroke
2.0%
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 had a stroke.
Full methodology ›Diabetes
7.1%
in the bottom 2.5% nationally
Lower is healthier
ST3rdUS2ndDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›The read
In its overall standing, ZIP 92116, one of several in San Diego, California lands in the top 7.0% healthiest ZIPs nationally (2,217th) and the top 17% of California (286th).
This area's measures are easy to read as a mixed set: modeled high blood pressure is in the bottom 2.3% nationally, high cholesterol sits in the bottom 2.8% nationally, and hearing disability lands in the bottom 2.1% nationally. Floodplain exposure lies at the national minimum, modeled coronary heart disease stands in the bottom 2.5% nationally, and walkability rests in the top 3.6% nationally. Modeled obesity registers in the bottom 5.9% nationally, and stroke resides in the bottom 2.3% nationally. Modeled diabetes settles in the bottom 2.5% nationally. Set against that, homeownership is in the bottom 3.6% nationally.
Against the wider neighborhood, park land runs far lower than the surrounding ZIPs on this measure. Put simply, floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". On the overall standing, ZIP 92103, just across the boundary, ranks healthier.
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 80%
16%
Risk Behavior
healthier than 80%
11%
Disability
healthier than 94%
7%
Climate / Disaster Risk
healthier than 91%
5%
Healthcare Access
healthier than 83%
5%
About typical
Environmental Hazard
healthier than 50%
14%
Mental Health
healthier than 48%
8%
Holding it back
Preventive Care
healthier than 27%
13%
Lifting this score
Chronic Disease Burden
healthier than 95%
21%
Social Need / SDOH
healthier than 74%
16%
Environmental Hazard
healthier than 73%
14%
Risk Behavior
healthier than 62%
11%
Disability
healthier than 91%
7%
Climate / Disaster Risk
healthier than 79%
5%
Healthcare Access
healthier than 63%
5%
About typical
Preventive Care
healthier than 50%
13%
Holding it back
Mental Health
healthier than 39%
8%
Lifting this score
Chronic Disease Burden
healthier than 84%
21%
Social Need / SDOH
healthier than 72%
16%
Disability
healthier than 87%
7%
Climate / Disaster Risk
healthier than 74%
5%
About typical
Preventive Care
healthier than 51%
13%
Risk Behavior
healthier than 53%
11%
Healthcare Access
healthier than 59%
5%
Holding it back
Environmental Hazard
healthier than 37%
14%
Mental Health
healthier than 32%
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
92103
Californiashares a border
Score 67.08
Closest healthier
92120
Californiaabout 0.2 mi away
Score 65.22
Similar health profile
93064
California99% similar profile
Score 65.85
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 | 16.5% | 15.0–18.2 |
| High blood pressure among adults | 24.0% | 22.0–26.3 |
| Cancer (non-skin) or melanoma among adults | 6.1% | 5.6–6.7 |
| Current asthma among adults | 9.3% | 8.4–10.5 |
| Coronary heart disease among adults | 3.7% | 3.3–4.1 |
| Chronic obstructive pulmonary disease among adults | 3.5% | 3.2–4.0 |
| Depression among adults | 23.4% | 21.0–26.2 |
| Diagnosed diabetes among adults | 7.1% | 6.3–8.0 |
| High cholesterol among adults who have ever been screened | 29.3% | 27.0–32.1 |
| Obesity among adults | 25.2% | 22.2–28.8 |
| Stroke among adults | 2.0% | 1.9–2.2 |
| All teeth lost among adults aged >=65 years | 6.4% | 5.1–7.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.4% | 5.5–7.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 62.2% | 59.3–65.5 |
| Visits to doctor for routine checkup within the past year among adults | 70.9% | 68.1–73.8 |
| Cholesterol screening among adults | 86.0% | 84.5–87.6 |
| Colorectal cancer screening among adults aged 45–75 years | 64.7% | 60.8–68.3 |
| Visited dentist or dental clinic in the past year among adults | 67.6% | 64.8–70.1 |
| Mammography use among women aged 50-74 years | 79.0% | 73.5–83.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 19.7% | 17.3–22.5 |
| Current cigarette smoking among adults | 8.8% | 7.7–10.2 |
| No leisure-time physical activity among adults | 15.5% | 13.8–17.8 |
| Short sleep duration among adults | 34.0% | 30.6–37.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 14.4% | 13.0–16.1 |
| Frequent mental distress among adults | 16.8% | 15.3–18.7 |
| Frequent physical distress among adults | 10.0% | 9.1–11.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.7% | 11.5–14.2 |
| Any disability among adults | 22.1% | 20.0–24.6 |
| Hearing disability among adults | 4.0% | 3.6–4.5 |
| Independent living disability among adults | 6.1% | 5.5–6.8 |
| Mobility disability among adults | 8.2% | 7.3–9.3 |
| Self-care disability among adults | 2.5% | 2.3–2.7 |
| Vision disability among adults | 3.4% | 3.2–3.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.7% | 23.1–28.4 |
| Food insecurity in the past 12 months among adults | 11.5% | 10.0–13.0 |
| Received food stamps in the past 12 months among adults | 10.9% | 9.5–12.4 |
| Housing insecurity in the past 12 months among adults | 11.8% | 10.3–13.3 |
| Lack of reliable transportation in the past 12 months among adults | 7.1% | 6.3–7.9 |
| Loneliness among adults | 34.9% | 31.7–38.2 |
| Utility services shut-off threat in the past 12 months among adults | 5.8% | 5.1–6.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 11.2% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 4.2% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 4.3% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 59.2% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 5.2% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 5.5% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 95.5% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 40.0% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 32.4% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 2.3% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 14.4% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 59.1% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 12.2% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 35.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $98,154 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $940,700 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,942 | $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 | 80.1 yr ± 0.85 | 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 0.85 years of 80.1, 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