ZIP code
78232
in San Antonio, TexasPopulation 36,636
59.18/ 100
Ranked #5,462 of 32,066 US ZIPs (top 17%)
Ranked #164 of 1,868 Texas ZIPs (top 8.8%)
Ranked #19 of 117 San Antonio-New Braunfels, TX ZIPs (top 16%)
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.
Dental provider access
1.4 per 1,000 residents
in the top 2.8% nationally
Higher is healthier
ST97thUS97thDefinition & source ›
The number of dental offices located 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 ›Dry extreme heat
89 days/year
in the top 3.3% nationally
Lower is healthier
ST68thUS97thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Physician access
2.5 per 1,000 residents
in the top 4.7% nationally
Higher is healthier
ST94thUS95thDefinition & source ›
The number of physicians’ offices located 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
149.2 days/year
in the top 5.0% nationally
Lower is healthier
ST70thUS95thDefinition & 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 ›Recreation access
1 per 1,000 residents
in the top 8.1% nationally
Higher is healthier
ST95thUS92ndDefinition & source ›
The number of places for physical recreation — gyms, sports, and fitness venues — 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 ›Outpatient-care access
0.45 per 1,000 residents
in the top 9.5% nationally
Higher is healthier
ST91stUS91stDefinition & source ›
The number of outpatient clinics located 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 ›Civic-institution access
0.54 per 1,000 residents
in the top 11.5% nationally
Higher is healthier
ST92ndUS89thDefinition & 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 ›Energy-cost burden
1.8%
in the bottom 9.1% nationally
Lower is healthier
ST9thUS9thDefinition & 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 ›Mental-health provider access
0.085 per 1,000 residents
in the top 12.7% nationally
Higher is healthier
ST91stUS87thDefinition & source ›
The number of mental-health clinics located 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 ›Transit access
2.4 per 1,000 residents
in the top 12.9% nationally
Higher is healthier
ST92ndUS87thDefinition & 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 ›The read
By the composite measure, ZIP 78232, one of several in San Antonio, Texas sits in the top 17% healthiest ZIPs nationally (5,462nd) and the top 8.8% of Texas (164th).
Reading across the measures, this area's clearest strengths come through: dental providers settles in the top 2.8% nationally, and physicians stands in the top 4.7% nationally. Distance to an emergency room is at the national minimum, shared with about 11% of ZIPs. Recreation rests in the top 8.1% nationally, and outpatient sits in the top 9.5% nationally. Distance to a community health center registers at the national minimum, shared with about 23% of ZIPs. Civic lands in the top 11.5% nationally. By contrast, modeled extreme heat resides in the top 3.3% nationally, and humid heat lies in the top 5.0% nationally. Modeled disaster risk settles in the top 10.9% nationally.
Compared with the ZIPs that surround it, park land runs far lower than the surrounding ZIPs on this measure. In plain language, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. 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. ZIP 78248, just across the boundary, ranks healthier overall.
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
Chronic Disease Burden
healthier than 83%
21%
Social Need / SDOH
healthier than 86%
16%
Environmental Hazard
healthier than 76%
14%
Risk Behavior
healthier than 71%
11%
Mental Health
healthier than 73%
8%
Disability
healthier than 82%
7%
Healthcare Access
healthier than 91%
5%
About typical
Preventive Care
healthier than 48%
13%
Holding it back
Climate / Disaster Risk
healthier than 11%
5%
Lifting this score
Chronic Disease Burden
healthier than 75%
21%
Social Need / SDOH
healthier than 88%
16%
Preventive Care
healthier than 89%
13%
Risk Behavior
healthier than 87%
11%
Mental Health
healthier than 79%
8%
Disability
healthier than 84%
7%
Healthcare Access
healthier than 90%
5%
About typical
Environmental Hazard
healthier than 59%
14%
Climate / Disaster Risk
healthier than 56%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 68%
21%
Social Need / SDOH
healthier than 81%
16%
Preventive Care
healthier than 80%
13%
Risk Behavior
healthier than 85%
11%
Mental Health
healthier than 74%
8%
Disability
healthier than 80%
7%
Climate / Disaster Risk
healthier than 72%
5%
Healthcare Access
healthier than 87%
5%
About typical
Environmental Hazard
healthier than 46%
14%
Nothing measured is holding this score back.
“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.
Above what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 81.4 ± 1.2 years. A median household income of $85,273 predicts 79.5 years — 2.0 years above.
Ranked #952 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Above its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 81.4 ± 1.2 years. The 43 nearest ZIP codes with estimates average 77.9 years — 3.5 years above them.
Ranked #549 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
78216
Texasshares a border
Score 51.73
Closest healthier
78248
Texasshares a border
Score 65.27
Similar health profile
77406
Texas99% similar profile
Score 61.82
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 | 25.6% | 23.2–28.1 |
| High blood pressure among adults | 34.5% | 31.6–37.6 |
| Cancer (non-skin) or melanoma among adults | 8.3% | 7.6–9.1 |
| Current asthma among adults | 9.0% | 8.0–10.2 |
| Coronary heart disease among adults | 5.7% | 5.1–6.3 |
| Chronic obstructive pulmonary disease among adults | 5.0% | 4.4–5.6 |
| Depression among adults | 22.6% | 19.9–25.5 |
| Diagnosed diabetes among adults | 12.0% | 10.7–13.5 |
| High cholesterol among adults who have ever been screened | 35.3% | 32.2–38.5 |
| Obesity among adults | 29.9% | 26.0–34.1 |
| Stroke among adults | 2.9% | 2.7–3.2 |
| All teeth lost among adults aged >=65 years | 7.9% | 6.5–9.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 12.3% | 10.8–13.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.8% | 74.1–79.4 |
| Visits to doctor for routine checkup within the past year among adults | 75.5% | 72.5–78.4 |
| Cholesterol screening among adults | 88.4% | 86.9–89.7 |
| Colorectal cancer screening among adults aged 45–75 years | 69.0% | 65.5–72.5 |
| Visited dentist or dental clinic in the past year among adults | 65.1% | 62.4–67.8 |
| Mammography use among women aged 50-74 years | 75.3% | 69.7–80.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.6% | 14.2–19.2 |
| Current cigarette smoking among adults | 9.3% | 8.1–10.7 |
| No leisure-time physical activity among adults | 22.6% | 19.9–25.6 |
| Short sleep duration among adults | 37.2% | 33.8–40.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.3% | 14.5–18.2 |
| Frequent mental distress among adults | 14.5% | 13.0–16.2 |
| Frequent physical distress among adults | 11.9% | 10.7–13.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.8% | 10.5–13.1 |
| Any disability among adults | 27.1% | 24.4–30.2 |
| Hearing disability among adults | 6.5% | 5.9–7.3 |
| Independent living disability among adults | 6.3% | 5.6–7.0 |
| Mobility disability among adults | 12.2% | 10.8–13.7 |
| Self-care disability among adults | 3.0% | 2.8–3.3 |
| Vision disability among adults | 4.3% | 3.9–4.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | TX median (p10–p90) |
|---|---|---|---|
| Poverty rate | 7.9% | 10.6% (3.1–25.8%) n=32,364 | 12.4% (3.5–26.4%) n=1,869 |
| Uninsured 18–64 | 10.5% | 9.0% (1.5–24.3%) n=32,286 | 22.3% (8.2–41.5%) n=1,862 |
| No HS diploma (25+) | 4.4% | 7.9% (1.8–20.7%) n=32,505 | 12.2% (2.5–30.0%) n=1,881 |
| Bachelor's or higher (25+) | 50.4% | 23.3% (9.2–53.6%) n=32,505 | 21.9% (9.0–51.4%) n=1,881 |
| Unemployment rate (16+) | 4.4% | 3.9% (0.0–9.8%) n=32,274 | 4.2% (0.0–9.4%) n=1,865 |
| Households without a vehicle | 4.6% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.8%) n=1,868 |
| Broadband subscription | 95.6% | 89.3% (75.1–97.1%) n=32,322 | 89.2% (75.0–97.3%) n=1,868 |
| Housing cost burden (≥30% income) | 30.9% | 23.7% (10.6–40.0%) n=32,322 | 26.2% (8.8–40.3%) n=1,868 |
| Homeownership rate | 55.9% | 78.7% (51.7–94.0%) n=32,322 | 75.0% (46.4–92.3%) n=1,868 |
| Crowded housing (>1 per room) | 2.0% | 1.3% (0.0–6.3%) n=32,322 | 3.1% (0.0–9.0%) n=1,868 |
| Foreign-born population | 8.0% | 2.6% (0.0–18.6%) n=32,553 | 8.1% (0.1–26.4%) n=1,886 |
| Single-parent households | 51.7% | 53.6% (37.3–74.1%) n=32,087 | 48.5% (34.3–70.6%) n=1,861 |
| Population 65+ | 18.2% | 19.4% (10.8–33.6%) n=32,553 | 16.1% (8.6–30.1%) n=1,886 |
| Median age | 38.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 38.3 yr (30.9–52.3) n=1,866 |
| Median household income | $85,273 | $72,070 ($46,039–$118,707) n=30,318 | $69,983 ($46,006–$112,413) n=1,737 |
| Median home value | $362,000 | $222,200 ($100,300–$579,820) n=30,049 | $210,500 ($97,060–$429,760) n=1,693 |
| Median gross rent | $1,449 | $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 | 81.4 yr ± 0.60 | 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 0.60 years of 81.4, 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