ZIP code
91902
in Bonita, CaliforniaPopulation 17,698
65.50/ 100
Ranked #1,809 of 32,066 US ZIPs (top 5.7%)
Ranked #250 of 1,719 California ZIPs (top 14.6%)
Ranked #28 of 106 San Diego-Chula Vista-Carlsbad, CA ZIPs (top 26%)
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.
Obesity
24.5%
in the bottom 4.8% nationally
Lower is healthier
ST25thUS5thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Park land
32.6%
in the top 4.3% nationally
Higher is healthier
ST86thUS96thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Fatal road crashes
2.3 per 100,000 residents per year
in the bottom 7.8% nationally
Lower is healthier
ST8thUS8thDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
Full methodology ›Energy-cost burden
1.5%
in the bottom 5.1% nationally
Lower is healthier
ST22ndUS5thDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›Median household income
$122,524
in the top 8.9% nationally
Higher is healthier
ST75thUS91stDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Tooth loss
7.2%
in the bottom 9.2% nationally
Lower is healthier
ST25thUS9thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Distance to a Superfund site
46.3 mi
in the top 14.3% nationally
Higher is healthier
ST95thUS86thDefinition & 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
Overall, Bonita, California (ZIP 91902) places in the top 5.7% healthiest ZIPs nationally (1,809th) and the top 14.6% of California (250th).
The standout strengths in the data are the natural place to begin: modeled obesity resides in the bottom 4.8% nationally, and park land is in the top 4.3% nationally. Fatal road crashes lands in the bottom 7.8% nationally, and modeled energy burden stands in the bottom 5.1% nationally. Household income registers in the top 8.9% nationally, modeled tooth loss settles in the bottom 9.2% nationally, and modeled humid heat sits in the bottom 13.4% nationally. On the other side, crowded housing lies in the top 10.9% nationally, PFOA in drinking water rests in the top 11.2% nationally, and PFOS in drinking water resides in the top 11.5% nationally.
Beside the areas that surround it, park land runs far higher than the surrounding ZIPs on this measure. For readers new to these terms, PFOA in drinking water is one of the man-made "forever chemicals" that build up in the body and environment instead of breaking down. PFOS in drinking water is a common one of the man-made "forever chemicals" that build up in the body and environment instead of breaking down. Energy burden is the share of household income that goes to home energy bills. Among nearby ZIPs, the nearest healthier one overall is ZIP 91913, 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
healthier than 89%
21%
Social Need / SDOH
healthier than 80%
16%
Environmental Hazard
healthier than 78%
14%
Preventive Care
healthier than 63%
13%
Risk Behavior
healthier than 93%
11%
Mental Health
healthier than 90%
8%
Disability
healthier than 79%
7%
Climate / Disaster Risk
healthier than 75%
5%
Healthcare Access
healthier than 72%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 68%
21%
Social Need / SDOH
healthier than 74%
16%
Environmental Hazard
healthier than 87%
14%
Preventive Care
healthier than 80%
13%
Risk Behavior
healthier than 85%
11%
Mental Health
healthier than 90%
8%
Disability
healthier than 75%
7%
About typical
Climate / Disaster Risk
healthier than 55%
5%
Healthcare Access
healthier than 49%
5%
Nothing measured is holding this score back.
Lifting this score
Social Need / SDOH
healthier than 71%
16%
Environmental Hazard
healthier than 71%
14%
Preventive Care
healthier than 80%
13%
Risk Behavior
healthier than 84%
11%
Mental Health
healthier than 91%
8%
Disability
healthier than 60%
7%
About typical
Chronic Disease Burden
healthier than 47%
21%
Healthcare Access
healthier than 47%
5%
Holding it back
Climate / Disaster Risk
healthier than 22%
5%
“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
91910
Californiashares a border
Score 57.51
Closest healthier
91913
Californiashares a border
Score 66.14
Similar health profile
91001
California99% similar profile
Score 63.87
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 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Arthritis among adults | 22.2% | 20.2–24.3 |
| High blood pressure among adults | 31.5% | 29.1–34.1 |
| Cancer (non-skin) or melanoma among adults | 8.3% | 7.6–9.1 |
| Current asthma among adults | 8.5% | 7.6–9.5 |
| Coronary heart disease among adults | 5.9% | 5.3–6.5 |
| Chronic obstructive pulmonary disease among adults | 4.5% | 4.0–5.1 |
| Depression among adults | 18.7% | 16.7–21.0 |
| Diagnosed diabetes among adults | 11.3% | 10.1–12.8 |
| High cholesterol among adults who have ever been screened | 36.9% | 34.2–39.9 |
| Obesity among adults | 24.5% | 21.5–27.9 |
| Stroke among adults | 3.1% | 2.9–3.4 |
| All teeth lost among adults aged >=65 years | 7.2% | 5.9–8.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.7% | 7.5–10.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 73.0% | 70.3–76.0 |
| Visits to doctor for routine checkup within the past year among adults | 75.9% | 73.4–78.5 |
| Cholesterol screening among adults | 89.1% | 88.0–90.4 |
| Colorectal cancer screening among adults aged 45–75 years | 67.5% | 63.7–70.9 |
| Visited dentist or dental clinic in the past year among adults | 69.5% | 66.9–72.0 |
| Mammography use among women aged 50-74 years | 79.3% | 73.9–84.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.8% | 12.9–17.0 |
| Current cigarette smoking among adults | 8.0% | 7.0–9.2 |
| No leisure-time physical activity among adults | 20.5% | 18.2–23.2 |
| Short sleep duration among adults | 32.2% | 28.9–35.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 18.2% | 16.5–20.3 |
| Frequent mental distress among adults | 13.9% | 12.6–15.5 |
| Frequent physical distress among adults | 12.0% | 10.8–13.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.8% | 10.6–13.2 |
| Any disability among adults | 26.6% | 24.2–29.4 |
| Hearing disability among adults | 6.2% | 5.6–6.9 |
| Independent living disability among adults | 6.5% | 5.9–7.3 |
| Mobility disability among adults | 12.7% | 11.4–14.2 |
| Self-care disability among adults | 3.3% | 3.0–3.6 |
| Vision disability among adults | 4.7% | 4.3–5.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 27.3% | 24.6–30.3 |
| Food insecurity in the past 12 months among adults | 12.7% | 11.2–14.5 |
| Received food stamps in the past 12 months among adults | 10.3% | 9.0–11.8 |
| Housing insecurity in the past 12 months among adults | 11.7% | 10.3–13.3 |
| Lack of reliable transportation in the past 12 months among adults | 6.9% | 6.1–7.8 |
| Loneliness among adults | 34.2% | 31.2–37.7 |
| Utility services shut-off threat in the past 12 months among adults | 5.2% | 4.5–6.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 5.9% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 7.9% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 7.4% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 41.7% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 4.2% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 3.3% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 91.3% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 31.2% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 76.1% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 5.9% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 19.3% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 52.3% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 24.3% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 45.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $122,524 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $984,900 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $2,221 | $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 | 81.3 yr ± 0.64 | 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 0.64 years of 81.3, 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