ZIP code
92070
in Santa Ysabel, CaliforniaPopulation 607
54.62/ 100
Ranked #9,920 of 32,066 US ZIPs (top 31%)
Ranked #792 of 1,719 California ZIPs (top 46%)
Ranked #84 of 106 San Diego-Chula Vista-Carlsbad, CA ZIPs (bottom 21%)
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.
Natural-disaster risk
in the top 1.4% nationally
Lower is healthier
ST95thUS99thDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›Crowded housing
15.9%
in the top 2.0% nationally
Lower is healthier
ST90thUS98thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Transit access
7.8 per 1,000 residents
in the top 2.1% nationally
Higher is healthier
ST98thUS98thDefinition & source ›
The number of public-transit stops inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Slow internet speeds
4.3%
in the top 2.9% nationally
Lower is healthier
ST94thUS97thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Civic-institution access
0.91 per 1,000 residents
in the top 4.9% nationally
Higher is healthier
ST89thUS95thDefinition & source ›
The number of civic and social organizations inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Housing-cost burden
44.2%
in the top 6.0% nationally
Lower is healthier
ST76thUS94thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Park land
21.9%
in the top 6.3% nationally
Higher is healthier
ST81stUS94thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Distance to a nursing home
11.3 mi
in the top 8.9% nationally
Lower is healthier
ST89thUS91stDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Unemployment rate
0.34%
in the bottom 15% nationally
Lower is healthier
ST10thUS15thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Air-toxics cancer risk
20 per million
in the bottom 25% nationally
Lower is healthier
ST8thUS25thDefinition & source ›
The EPA’s modeled estimate of added lifetime cancer risk from breathing outdoor air toxics, in cases per million people exposed over a lifetime.
Full methodology ›The read
On the composite measure, Santa Ysabel, California (ZIP 92070) stands in the top 31% healthiest ZIPs nationally (9,920th) and the top 46% of California (792nd).
A profile of give and take, with clear readings each way: transit is in the top 2.1% nationally, and civic registers in the top 4.9% nationally. Park land lies in the top 6.3% nationally, and modeled obesity is in the bottom 10.2% nationally. On the other side, modeled disaster risk registers in the top 1.4% nationally, crowded housing lies in the top 2.0% nationally, and slow internet speeds is in the top 2.9% nationally. Housing-cost burden registers in the top 6.0% nationally, and distance to a nursing home lies in the top 8.9% nationally. Fiber broadband is at the national minimum, shared with about 19% of ZIPs.
Set beside the wider area around it, slow internet speeds runs far higher than the surrounding ZIPs on this measure. For clarity, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. ZIP 92036, just across the boundary, ranks better overall among the ZIPs nearby.
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
Environmental Hazard
healthier than 84%
14%
Risk Behavior
healthier than 82%
11%
Climate / Disaster Risk
healthier than 76%
5%
About typical
Chronic Disease Burden
healthier than 57%
21%
Preventive Care
healthier than 57%
13%
Mental Health
healthier than 56%
8%
Disability
healthier than 48%
7%
Holding it back
Social Need / SDOH
healthier than 37%
16%
Healthcare Access
healthier than 32%
5%
Lifting this score
Environmental Hazard
healthier than 89%
14%
Preventive Care
healthier than 75%
13%
Risk Behavior
healthier than 65%
11%
About typical
Mental Health
healthier than 48%
8%
Disability
healthier than 45%
7%
Climate / Disaster Risk
healthier than 55%
5%
Holding it back
Chronic Disease Burden
healthier than 24%
21%
Social Need / SDOH
healthier than 39%
16%
Healthcare Access
healthier than 19%
5%
Lifting this score
Environmental Hazard
healthier than 77%
14%
Preventive Care
healthier than 73%
13%
About typical
Risk Behavior
healthier than 58%
11%
Mental Health
healthier than 44%
8%
Holding it back
Chronic Disease Burden
healthier than 7%
21%
Social Need / SDOH
healthier than 27%
16%
Disability
healthier than 21%
7%
Climate / Disaster Risk
healthier than 25%
5%
Healthcare Access
healthier than 13%
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
92036
Californiashares a border
Score 60.62
Closest healthier
92060
Californiashares a border
Score 55.82
Similar health profile
16036
Pennsylvania95% similar profile
Score 51.17
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 | 27.9% | 25.5–30.6 |
| High blood pressure among adults | 36.3% | 33.7–39.4 |
| Cancer (non-skin) or melanoma among adults | 10.5% | 9.6–11.6 |
| Current asthma among adults | 10.5% | 9.4–11.7 |
| Coronary heart disease among adults | 7.6% | 6.8–8.5 |
| Chronic obstructive pulmonary disease among adults | 7.0% | 6.0–8.1 |
| Depression among adults | 22.5% | 20.2–25.3 |
| Diagnosed diabetes among adults | 12.7% | 11.3–14.4 |
| High cholesterol among adults who have ever been screened | 38.3% | 35.6–41.4 |
| Obesity among adults | 27.5% | 24.2–31.4 |
| Stroke among adults | 4.1% | 3.7–4.5 |
| All teeth lost among adults aged >=65 years | 13.1% | 10.8–15.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.4% | 5.3–7.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 74.3% | 71.4–77.1 |
| Visits to doctor for routine checkup within the past year among adults | 77.1% | 74.6–79.5 |
| Cholesterol screening among adults | 88.7% | 87.2–90.1 |
| Colorectal cancer screening among adults aged 45–75 years | 65.7% | 61.9–69.4 |
| Visited dentist or dental clinic in the past year among adults | 65.6% | 62.8–68.3 |
| Mammography use among women aged 50-74 years | 75.8% | 69.5–81.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.0% | 13.1–17.2 |
| Current cigarette smoking among adults | 12.4% | 10.5–14.6 |
| No leisure-time physical activity among adults | 21.0% | 18.3–24.2 |
| Short sleep duration among adults | 33.4% | 30.1–36.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.1% | 18.6–23.9 |
| Frequent mental distress among adults | 16.6% | 14.9–18.5 |
| Frequent physical distress among adults | 14.5% | 12.9–16.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.0% | 12.3–16.0 |
| Any disability among adults | 31.8% | 28.5–35.3 |
| Hearing disability among adults | 8.0% | 7.2–9.0 |
| Independent living disability among adults | 8.7% | 7.6–9.9 |
| Mobility disability among adults | 16.1% | 14.1–18.2 |
| Self-care disability among adults | 4.1% | 3.6–4.7 |
| Vision disability among adults | 5.6% | 5.0–6.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 26.6% | 23.8–29.7 |
| Food insecurity in the past 12 months among adults | 14.7% | 12.5–17.3 |
| Received food stamps in the past 12 months among adults | 14.2% | 12.1–16.8 |
| Housing insecurity in the past 12 months among adults | 12.4% | 10.6–14.3 |
| Lack of reliable transportation in the past 12 months among adults | 8.7% | 7.6–10.0 |
| Loneliness among adults | 34.0% | 30.9–37.5 |
| Utility services shut-off threat in the past 12 months among adults | 6.6% | 5.7–7.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 15.2% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 26.5% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 10.3% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 27.4% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 0.3% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 1.3% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 95.7% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 44.2% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 57.9% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 15.9% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 7.7% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 43.0% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 21.9% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 37.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $67,017 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $740,400 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,638 | $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 | 81.5 yr ± 1.75 | 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 1.75 years of 81.5, 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