ZIP code
78219
in San Antonio, TexasPopulation 17,924
38.70/ 100
Ranked #27,594 of 32,066 US ZIPs (bottom 14.0%)
Ranked #1,562 of 1,868 Texas ZIPs (bottom 16%)
Ranked #108 of 117 San Antonio-New Braunfels, TX ZIPs (bottom 7.7%)
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.
Uninsured (under 65)
26.9%
in the top 1.8% nationally
Lower is healthier
ST82ndUS98thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Dry extreme heat
95.4 days/year
in the top 1.8% nationally
Lower is healthier
ST91stUS98thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Vision disability
10.2%
in the top 4.5% nationally
Lower is healthier
ST89thUS96thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Short sleep
45.1%
in the top 3.0% nationally
Lower is healthier
ST98thUS97thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Transit access
6.1 per 1,000 residents
in the top 3.4% nationally
Higher is healthier
ST98thUS97thDefinition & 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 ›Humid extreme heat
150.5 days/year
in the top 4.6% nationally
Lower is healthier
ST72ndUS95thDefinition & source ›
The average number of days per year when modeled heat stress — temperature, humidity, sun, and wind combined — reaches levels hard on the body outdoors.
Full methodology ›Self-care disability
6.9%
in the top 6.3% nationally
Lower is healthier
ST90thUS94thDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›Fair or poor health
31%
in the top 6.6% nationally
Lower is healthier
ST87thUS93rdDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Crowded housing
7.9%
in the top 7.0% nationally
Lower is healthier
ST86thUS93rdDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Diabetes
18%
in the top 8.1% nationally
Lower is healthier
ST87thUS92ndDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›The read
ZIP 78219, one of several in San Antonio, Texas, on the composite measure, lands in the bottom 14.0% nationally (27,594th) and the bottom 16% of Texas (1,562nd).
Where this area is stretched, the data is unambiguous: modeled uninsured resides in the top 1.8% nationally, extreme heat lies in the top 1.8% nationally, and vision disability settles in the top 4.5% nationally. Modeled short sleep stands in the top 3.0% nationally, humid heat is in the top 4.6% nationally, and self-care disability rests in the top 6.3% nationally. Modeled fair or poor health sits in the top 6.6% nationally, and crowded housing registers in the top 7.0% nationally. Modeled diabetes lands in the top 8.1% nationally. Better still, transit resides in the top 3.4% nationally.
Set against the neighboring ZIPs, park land runs far lower than the surrounding ZIPs on this measure. In everyday language, extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. A healthier neighbor overall sits at ZIP 78109, 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 Antonio-New Braunfels, TX metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Healthcare Access
healthier than 83%
5%
About typical
Chronic Disease Burden
healthier than 49%
21%
Social Need / SDOH
healthier than 41%
16%
Environmental Hazard
healthier than 52%
14%
Holding it back
Preventive Care
healthier than 5%
13%
Risk Behavior
healthier than 5%
11%
Mental Health
healthier than 26%
8%
Disability
healthier than 9%
7%
Climate / Disaster Risk
healthier than 9%
5%
Lifting this score
Healthcare Access
healthier than 81%
5%
About typical
Climate / Disaster Risk
healthier than 42%
5%
Holding it back
Chronic Disease Burden
healthier than 35%
21%
Social Need / SDOH
healthier than 35%
16%
Environmental Hazard
healthier than 34%
14%
Preventive Care
healthier than 21%
13%
Risk Behavior
healthier than 6%
11%
Mental Health
healthier than 17%
8%
Disability
healthier than 10%
7%
Lifting this score
Healthcare Access
healthier than 74%
5%
About typical
Climate / Disaster Risk
healthier than 52%
5%
Holding it back
Chronic Disease Burden
healthier than 22%
21%
Social Need / SDOH
healthier than 23%
16%
Environmental Hazard
healthier than 14%
14%
Preventive Care
healthier than 29%
13%
Risk Behavior
healthier than 8%
11%
Mental Health
healthier than 8%
8%
Disability
healthier than 13%
7%
“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
2 of our published findings list 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.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 73.7 ± 1.3 years. A median household income of $52,094 predicts 77.5 years — 3.8 years below.
Ranked #4,937 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Below its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 73.7 ± 1.3 years. The 43 nearest ZIP codes with estimates average 77.0 years — 3.4 years below them.
Ranked #2,616 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
78109
Texasshares a border
Score 52.30
Closest healthier
78202
Texasshares a border
Score 41.03
Similar health profile
76103
Texas99% similar profile
Score 37.07
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 | 25.7% | 23.4–28.2 |
| High blood pressure among adults | 39.7% | 36.7–42.7 |
| Cancer (non-skin) or melanoma among adults | 5.3% | 4.8–5.8 |
| Current asthma among adults | 10.5% | 9.3–11.8 |
| Coronary heart disease among adults | 7.0% | 6.3–7.7 |
| Chronic obstructive pulmonary disease among adults | 7.8% | 7.1–8.7 |
| Depression among adults | 23.2% | 20.5–26.1 |
| Diagnosed diabetes among adults | 18.0% | 16.2–20.0 |
| High cholesterol among adults who have ever been screened | 34.5% | 31.5–37.6 |
| Obesity among adults | 38.8% | 34.5–43.4 |
| Stroke among adults | 4.6% | 4.2–4.9 |
| All teeth lost among adults aged >=65 years | 18.4% | 15.7–21.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 26.9% | 24.0–29.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.0% | 72.3–77.5 |
| Visits to doctor for routine checkup within the past year among adults | 73.0% | 69.8–76.0 |
| Cholesterol screening among adults | 81.6% | 79.6–83.5 |
| Colorectal cancer screening among adults aged 45–75 years | 59.1% | 55.2–63.3 |
| Visited dentist or dental clinic in the past year among adults | 47.9% | 45.0–50.9 |
| Mammography use among women aged 50-74 years | 71.8% | 65.7–77.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.3% | 12.1–16.6 |
| Current cigarette smoking among adults | 17.2% | 15.3–19.4 |
| No leisure-time physical activity among adults | 38.8% | 35.2–42.7 |
| Short sleep duration among adults | 45.1% | 41.5–48.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 31.0% | 28.3–34.0 |
| Frequent mental distress among adults | 19.6% | 17.7–21.6 |
| Frequent physical distress among adults | 17.4% | 15.7–19.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 20.1% | 18.2–22.1 |
| Any disability among adults | 39.8% | 36.5–43.4 |
| Hearing disability among adults | 7.1% | 6.4–8.0 |
| Independent living disability among adults | 12.4% | 11.3–13.7 |
| Mobility disability among adults | 20.5% | 18.6–22.6 |
| Self-care disability among adults | 6.9% | 6.3–7.5 |
| Vision disability among adults | 10.2% | 9.3–11.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | TX median (p10–p90) |
|---|---|---|---|
| Poverty rate | 22.6% | 10.6% (3.1–25.8%) n=32,364 | 12.4% (3.5–26.4%) n=1,869 |
| Uninsured 18–64 | 35.0% | 9.0% (1.5–24.3%) n=32,286 | 22.3% (8.2–41.5%) n=1,862 |
| No HS diploma (25+) | 27.9% | 7.9% (1.8–20.7%) n=32,505 | 12.2% (2.5–30.0%) n=1,881 |
| Bachelor's or higher (25+) | 13.6% | 23.3% (9.2–53.6%) n=32,505 | 21.9% (9.0–51.4%) n=1,881 |
| Unemployment rate (16+) | 7.1% | 3.9% (0.0–9.8%) n=32,274 | 4.2% (0.0–9.4%) n=1,865 |
| Households without a vehicle | 8.5% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.8%) n=1,868 |
| Broadband subscription | 83.7% | 89.3% (75.1–97.1%) n=32,322 | 89.2% (75.0–97.3%) n=1,868 |
| Housing cost burden (≥30% income) | 34.8% | 23.7% (10.6–40.0%) n=32,322 | 26.2% (8.8–40.3%) n=1,868 |
| Homeownership rate | 53.9% | 78.7% (51.7–94.0%) n=32,322 | 75.0% (46.4–92.3%) n=1,868 |
| Crowded housing (>1 per room) | 7.9% | 1.3% (0.0–6.3%) n=32,322 | 3.1% (0.0–9.0%) n=1,868 |
| Foreign-born population | 18.9% | 2.6% (0.0–18.6%) n=32,553 | 8.1% (0.1–26.4%) n=1,886 |
| Single-parent households | 36.5% | 53.6% (37.3–74.1%) n=32,087 | 48.5% (34.3–70.6%) n=1,861 |
| Population 65+ | 14.2% | 19.4% (10.8–33.6%) n=32,553 | 16.1% (8.6–30.1%) n=1,886 |
| Median age | 33.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 38.3 yr (30.9–52.3) n=1,866 |
| Median household income | $52,094 | $72,070 ($46,039–$118,707) n=30,318 | $69,983 ($46,006–$112,413) n=1,737 |
| Median home value | $162,000 | $222,200 ($100,300–$579,820) n=30,049 | $210,500 ($97,060–$429,760) n=1,693 |
| Median gross rent | $1,213 | $1,021 ($677–$1,912) n=25,670 | $1,154 ($764–$1,815) n=1,508 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | TX median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 73.7 yr ± 0.65 | 78.9 yr (74.7–82.8) n=31,308 | 78.2 yr (75.1–81.7) n=1,772 |
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 0.65 years of 73.7, 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