ZIP code
92145
in San Diego, CaliforniaPopulation 2,349
64.33/ 100
Ranked #2,283 of 32,066 US ZIPs (top 7.2%)
Ranked #293 of 1,719 California ZIPs (top 17%)
Ranked #34 of 106 San Diego-Chula Vista-Carlsbad, CA ZIPs (top 32%)
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
12.2%
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 ›Colon-cancer screening
39%
in the bottom 0.2% nationally
Higher is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Binge drinking
28%
in the top 0.2% 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 ›High blood pressure
8.9%
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 high blood pressure.
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 ›Stroke
0.40%
in the bottom 0.10% 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 ›Obesity
16.7%
in the bottom 0.3% 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 ›Mobility disability
2.1%
in the bottom 0.09% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Slow internet speeds
100%
at the national maximum
Lower is healthier
ST99thUS99thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›The read
ZIP 92145, one of several in San Diego, California, in overall standing, comes out in the top 7.2% healthiest ZIPs nationally (2,283rd) and the top 17% of California (293rd).
A balanced showing across the data, with a few readings each side: modeled diabetes resides in the bottom 0.2% nationally, coronary heart disease sits in the bottom 0.2% nationally, and stroke stands in the bottom 0.10% nationally. Modeled obesity resides in the bottom 0.3% nationally, mobility disability sits in the bottom 0.09% nationally, and hearing disability stands in the bottom 0.2% nationally. On the other hand, modeled colon screening resides in the bottom 0.2% nationally, and binge drinking sits in the top 0.2% nationally. Slow internet speeds stands at the national maximum, and modeled loneliness resides in the top 0.3% nationally.
Set within its surrounding area, slow internet speeds runs far higher than the surrounding ZIPs on this measure. The closest healthier ZIP overall is ZIP 92121, 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 0.01%
21%
Risk Behavior
healthier than 74%
11%
Disability
healthier than 98%
7%
Climate / Disaster Risk
healthier than 97%
5%
Healthcare Access
healthier than 72%
5%
About typical
Social Need / SDOH
healthier than 51%
16%
Environmental Hazard
healthier than 46%
14%
Holding it back
Preventive Care
healthier than 2%
13%
Mental Health
healthier than 25%
8%
Lifting this score
Chronic Disease Burden
in the top 0.07%
21%
Environmental Hazard
healthier than 71%
14%
Disability
healthier than 97%
7%
Climate / Disaster Risk
healthier than 94%
5%
About typical
Social Need / SDOH
healthier than 51%
16%
Risk Behavior
healthier than 51%
11%
Healthcare Access
healthier than 49%
5%
Holding it back
Preventive Care
healthier than 7%
13%
Mental Health
healthier than 15%
8%
Lifting this score
Chronic Disease Burden
healthier than 99%
21%
Disability
healthier than 95%
7%
Climate / Disaster Risk
healthier than 94%
5%
About typical
Social Need / SDOH
healthier than 40%
16%
Healthcare Access
healthier than 46%
5%
Holding it back
Environmental Hazard
healthier than 28%
14%
Preventive Care
healthier than 3%
13%
Risk Behavior
healthier than 35%
11%
Mental Health
healthier than 8%
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 ›
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.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 46.6; chronic-disease standing 100.0 (top 1%) — 53 points apart, heavier on the environment than it is on chronic illness.
Ranked #14,744 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
92111
Californiashares a border
Score 61.00
Closest healthier
92121
Californiashares a border
Score 68.58
Similar health profile
57706
South Dakota99% similar profile
Score 61.87
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 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Arthritis among adults | 2.6% | 2.2–3.0 |
| High blood pressure among adults | 8.9% | 7.7–10.3 |
| Cancer (non-skin) or melanoma among adults | 0.7% | 0.6–0.8 |
| Current asthma among adults | 7.5% | 6.7–8.5 |
| Coronary heart disease among adults | 0.7% | 0.6–0.9 |
| Chronic obstructive pulmonary disease among adults | 1.1% | 0.8–1.3 |
| Depression among adults | 21.0% | 18.5–23.8 |
| Diagnosed diabetes among adults | 1.3% | 1.1–1.5 |
| High cholesterol among adults who have ever been screened | 12.2% | 10.7–13.8 |
| Obesity among adults | 16.7% | 14.2–19.5 |
| Stroke among adults | 0.4% | 0.3–0.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.3% | 6.3–11.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 12.9% | 11.0–15.2 |
| Visits to doctor for routine checkup within the past year among adults | 57.2% | 53.3–61.5 |
| Cholesterol screening among adults | 63.5% | 58.6–69.8 |
| Colorectal cancer screening among adults aged 45–75 years | 39.0% | 35.2–42.9 |
| Visited dentist or dental clinic in the past year among adults | 61.3% | 58.2–64.2 |
| Mammography use among women aged 50-74 years | 71.1% | 63.9–77.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 28.0% | 24.8–31.7 |
| Current cigarette smoking among adults | 5.4% | 3.8–6.8 |
| No leisure-time physical activity among adults | 12.8% | 9.6–15.6 |
| Short sleep duration among adults | 34.5% | 31.0–38.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 11.6% | 8.9–13.8 |
| Frequent mental distress among adults | 21.4% | 17.8–24.1 |
| Frequent physical distress among adults | 6.4% | 5.2–7.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.5% | 14.5–21.5 |
| Any disability among adults | 23.3% | 18.7–27.0 |
| Hearing disability among adults | 2.0% | 1.7–2.4 |
| Independent living disability among adults | 6.2% | 4.8–7.3 |
| Mobility disability among adults | 2.1% | 1.7–2.5 |
| Self-care disability among adults | 0.9% | 0.8–1.1 |
| Vision disability among adults | 3.0% | 2.3–3.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 35.3% | 29.6–40.1 |
| Food insecurity in the past 12 months among adults | 14.0% | 10.4–17.5 |
| Received food stamps in the past 12 months among adults | 8.4% | 6.1–10.6 |
| Housing insecurity in the past 12 months among adults | 11.4% | 8.9–13.7 |
| Lack of reliable transportation in the past 12 months among adults | 10.2% | 8.0–12.1 |
| Loneliness among adults | 48.1% | 43.5–52.9 |
| Utility services shut-off threat in the past 12 months among adults | 4.5% | 3.5–5.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | — | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | — | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 0.8% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 7.9% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | — | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | — | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | — | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | — | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | — | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 4.1% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | — | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 0.0% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 21.6 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 at birth | 80.6 yr ± 0.89 | 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 0.89 years of 80.6, 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