ZIP code
78592
in Santa Maria, TexasPopulation 677
33.42/ 100
Ranked #29,923 of 32,066 US ZIPs (bottom 6.7%)
Ranked #1,772 of 1,868 Texas ZIPs (bottom 5.2%)
Ranked #16 of 16 Brownsville-Harlingen, TX ZIPs (bottom 6.3%)
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)
44.4%
in the top 0.05% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Vision disability
15.2%
in the top 0.4% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Colon-cancer screening
47.5%
in the bottom 1.3% nationally
Higher is healthier
ST3rdUS1stDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Fair or poor health
38.9%
in the top 0.9% nationally
Lower is healthier
ST98thUS99thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Diabetes
23.1%
in the top 1.1% nationally
Lower is healthier
ST98thUS99thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Self-care disability
8.5%
in the top 2.0% nationally
Lower is healthier
ST97thUS98thDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›Humid extreme heat
184.4 days/year
in the top 1.4% nationally
Lower is healthier
ST98thUS99thDefinition & 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 ›Homeownership rate
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Mobility disability
24.7%
in the top 3.9% nationally
Lower is healthier
ST96thUS96thDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Independent-living disability
13.7%
in the top 4.7% nationally
Lower is healthier
ST96thUS95thDefinition & source ›
The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.
Full methodology ›Cross-source signals
Health need and barriers to care documented here
On our reading, this ZIP code carries the overlap at its acute level: acute means at least three of the six health-need readings and at least three of the six access barriers apply to the same place.
These are two separate readings of public data that both apply to this place — never a claim that one causes the other, never a severity score, and never a statement about any person who lives here.
Health need documented here
- People without health insurance
- People living in poverty
- Adults reporting fair or poor health
- Chronic conditions
Barriers to reaching care
- Thin local supply of doctors
- Thin local supply of pharmacies
- Households with no vehicle
A reading appears below only where this ZIP code is among the most-affected 10% of US ZIP codes on it — one national bar, the same for every ZIP in the country.
See the full care-deserts analysis →The read
By the composite health measure, Santa Maria, Texas (ZIP 78592) ranks in the bottom 6.7% nationally (29,923rd) and the bottom 5.2% of Texas (1,772nd), based on limited data; treat as directional.
A number of measures mark what daily life looks like here: modeled uninsured sits in the top 0.05% nationally, and vision disability is in the top 0.4% nationally. Modeled colon screening settles in the bottom 1.3% nationally, and fair or poor health resides in the top 0.9% nationally. Modeled diabetes registers in the top 1.1% nationally, self-care disability rests in the top 2.0% nationally, and humid heat stands in the top 1.4% nationally. Modeled mobility disability lies in the top 3.9% nationally, and independent living disability lands in the top 4.7% nationally. On the brighter side, homeownership sits at the national maximum.
To spell things out, humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. Close by, ZIP 78559, just across the boundary, ranks healthier overall. On other measures, the area also shows documented health need overlapping with barriers to reaching care, sitting in the most-affected 10% of US ZIP codes on several need measures and several access barriers.
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 Brownsville-Harlingen, TX 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 76%
14%
Mental Health
healthier than 76%
8%
Holding it back
Chronic Disease Burden
healthier than 31%
21%
Social Need / SDOH
healthier than 11%
16%
Preventive Care
healthier than 3%
13%
Risk Behavior
healthier than 11%
11%
Disability
healthier than 2%
7%
Climate / Disaster RiskPartial
in the bottom 0.01%
5%
Healthcare Access
healthier than 31%
5%
Lifting this score
Mental Health
healthier than 83%
8%
About typical
Environmental Hazard
healthier than 60%
14%
Holding it back
Chronic Disease Burden
healthier than 18%
21%
Social Need / SDOH
healthier than 4%
16%
Preventive Care
healthier than 9%
13%
Risk Behavior
healthier than 15%
11%
Disability
healthier than 2%
7%
Climate / Disaster RiskPartial
in the bottom 0.06%
5%
Healthcare Access
healthier than 30%
5%
Nothing measured is lifting this score.
Holding it back
Chronic Disease Burden
in the bottom 0.00%
21%
Social Need / SDOH
in the bottom 0.00%
16%
Environmental Hazard
healthier than 20%
14%
Preventive Care
healthier than 5%
13%
Risk Behavior
healthier than 15%
11%
Mental Health
healthier than 38%
8%
Disability
in the bottom 0.00%
7%
Climate / Disaster RiskPartial
in the bottom 0.00%
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
78559
Texasshares a border
Score 39.95
Closest healthier
78586
Texasshares a border
Score 39.37
Similar health profile
78361
Texas99% similar profile
Score 31.27
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 | 23.0% | 20.6–25.6 |
| High blood pressure among adults | 38.8% | 35.8–42.1 |
| Cancer (non-skin) or melanoma among adults | 5.2% | 4.6–5.8 |
| Current asthma among adults | 8.8% | 7.7–10.0 |
| Coronary heart disease among adults | 9.8% | 8.6–11.1 |
| Chronic obstructive pulmonary disease among adults | 7.9% | 6.6–9.2 |
| Depression among adults | 18.5% | 16.1–21.4 |
| Diagnosed diabetes among adults | 23.1% | 20.7–25.5 |
| High cholesterol among adults who have ever been screened | 39.9% | 36.6–43.4 |
| Obesity among adults | 41.8% | 37.0–47.0 |
| Stroke among adults | 5.2% | 4.6–5.9 |
| All teeth lost among adults aged >=65 years | 21.9% | 18.5–25.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 44.4% | 37.1–51.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.6% | 76.2–80.8 |
| Visits to doctor for routine checkup within the past year among adults | 72.2% | 68.5–75.4 |
| Cholesterol screening among adults | 81.0% | 77.9–84.1 |
| Colorectal cancer screening among adults aged 45–75 years | 47.5% | 42.7–51.9 |
| Visited dentist or dental clinic in the past year among adults | 38.5% | 35.4–41.5 |
| Mammography use among women aged 50-74 years | 70.7% | 63.6–76.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.6% | 11.4–16.0 |
| Current cigarette smoking among adults | 14.8% | 12.4–17.4 |
| No leisure-time physical activity among adults | 44.7% | 39.4–49.9 |
| Short sleep duration among adults | 40.4% | 35.8–44.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 38.9% | 34.1–43.9 |
| Frequent mental distress among adults | 17.1% | 15.0–19.3 |
| Frequent physical distress among adults | 19.4% | 17.0–21.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 21.1% | 17.9–24.4 |
| Any disability among adults | 44.4% | 39.4–49.3 |
| Hearing disability among adults | 10.9% | 9.6–12.2 |
| Independent living disability among adults | 13.7% | 11.7–16.0 |
| Mobility disability among adults | 24.7% | 21.6–27.9 |
| Self-care disability among adults | 8.5% | 7.3–9.8 |
| Vision disability among adults | 15.2% | 13.2–17.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | TX median (p10–p90) |
|---|---|---|---|
| Poverty rate | 37.2% | 10.6% (3.1–25.8%) n=32,364 | 12.4% (3.5–26.4%) n=1,869 |
| Uninsured 18–64 | 31.6% | 9.0% (1.5–24.3%) n=32,286 | 22.3% (8.2–41.5%) n=1,862 |
| No HS diploma (25+) | 62.9% | 7.9% (1.8–20.7%) n=32,505 | 12.2% (2.5–30.0%) n=1,881 |
| Bachelor's or higher (25+) | 2.6% | 23.3% (9.2–53.6%) n=32,505 | 21.9% (9.0–51.4%) n=1,881 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 4.2% (0.0–9.4%) n=1,865 |
| Households without a vehicle | 13.8% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–10.8%) n=1,868 |
| Broadband subscription | 66.4% | 89.3% (75.1–97.1%) n=32,322 | 89.2% (75.0–97.3%) n=1,868 |
| Housing cost burden (≥30% income) | 27.3% | 23.7% (10.6–40.0%) n=32,322 | 26.2% (8.8–40.3%) n=1,868 |
| Homeownership rate | 100.0% | 78.7% (51.7–94.0%) n=32,322 | 75.0% (46.4–92.3%) n=1,868 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 3.1% (0.0–9.0%) n=1,868 |
| Foreign-born population | 43.1% | 2.6% (0.0–18.6%) n=32,553 | 8.1% (0.1–26.4%) n=1,886 |
| Single-parent households | 62.1% | 53.6% (37.3–74.1%) n=32,087 | 48.5% (34.3–70.6%) n=1,861 |
| Population 65+ | 34.1% | 19.4% (10.8–33.6%) n=32,553 | 16.1% (8.6–30.1%) n=1,886 |
| Median age | 50.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 38.3 yr (30.9–52.3) n=1,866 |
| Median household income | — | $72,070 ($46,039–$118,707) n=30,318 | $69,983 ($46,006–$112,413) n=1,737 |
| Median home value | $76,700 | $222,200 ($100,300–$579,820) n=30,049 | $210,500 ($97,060–$429,760) n=1,693 |
| Median gross rent | — | $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 | 80.9 yr ± 3.32 | 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 3.32 years of 80.9, 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