Zip code 78592: Santa Maria, Texas
Boundary is the Census Bureau's ZIP Code Tabulation Area, which closely tracks the postal delivery area.
About 78592
78592 is a small-town zip code in Santa Maria, Texas (Cameron County), covering 3.5 sq mi of land. About 677 people live here, or 196 per square mile. The median resident is 50.7 years old, compared with 38.9 nationally.
37.2% of residents live below the poverty line (U.S.: 12.5%). The median home value is $76,700. 100% of occupied homes are lived in by their owners.
3% of adults hold a bachelor's degree or higher (U.S.: 36%). Commuters average 25.7 minutes each way, and 9% of workers work from home. The most common jobs among working residents are in transportation and moving goods; construction and repair; and office and administrative support. 19% of them are self-employed (U.S.: 10%). 96% of households speak a language other than English at home, most often Spanish.
How 78592 compares
- 99thStrengthU.S. 65.2% · TX 62.6%2nd of 1,792 in TX
- Poverty rate37.2%98thWeaknessU.S. 12.5% · TX 13.8%54th of 1,794 in TX
- 98thU.S. 17.2% · TX 13.4%96th of 1,818 in TX
- 97thU.S. 10% · TX 10.5%209th of 1,810 in TX
- Median age50.796thU.S. 38.9 · TX 35.6184th of 1,817 in TX
- 96thU.S. 14.1% · TX 17.6%24th of 1,818 in TX
- Uninsured rate18.2%93rdWeaknessU.S. 8.4% · TX 17.1%690th of 1,808 in TX
- 66thU.S. 10.1% · TX 9.4%1,154th of 1,794 in TX
- 64thU.S. 0.483 · TX 0.478608th of 1,785 in TX
- Average commute25.7 min48thU.S. 26.4 min · TX 26.7 min951st of 1,738 in TX
- Work from home9.3%30thU.S. 15.1% · TX 14.4%833rd of 1,810 in TX
- Population density196/sq mi21stU.S. 95/sq mi · TX 116/sq mi788th of 1,818 in TX
- 11thU.S. 14.5% · TX 14.1%1,560th of 1,810 in TX
- 3rdU.S. 9.7% · TX 8.6%1,445th of 1,810 in TX
- 2ndU.S. 22% · TX 25%1,716th of 1,818 in TX
- Population6771stU.S. 334,922,499 · TX 30,188,4241,545th of 1,818 in TX
- Per capita income$17,1721stWeaknessU.S. $44,673 · TX $40,7521,752nd of 1,813 in TX
- Median home value$76,7001stU.S. $332,700 · TX $283,8001,617th of 1,679 in TX
- 1stWeaknessU.S. 35.7% · TX 33.8%1,769th of 1,811 in TX
- 1stStrengthU.S. 5.2% · TX 5.3%1,636th of 1,810 in TX
- 1stU.S. 61.4 · TX 67.11,790th of 1,818 in TX
- Broadband access66.4%1stWeaknessU.S. 91% · TX 91.4%1,728th of 1,792 in TX
- Veterans0%1stU.S. 6.2% · TX 6.2%1,758th of 1,818 in TX
- Median earnings per worker$19,0101stWeaknessU.S. $49,666 · TX $47,5751,765th of 1,794 in TX
- 1stU.S. 3.8% · TX 3.8%1,388th of 1,810 in TX
| Measure | 78592 | Cameron | TX | U.S. | National percentile | Rank in TX |
|---|---|---|---|---|---|---|
| Homeownership rateStrength | 100% | 65.2% | 62.6% | 65.2% | 2nd of 1,792 | |
| Poverty rateWeakness | 37.2% | 24.8% | 13.8% | 12.5% | 54th of 1,794 | |
| Residents 65 and older | 34.1% | 14.3% | 13.4% | 17.2% | 96th of 1,818 | |
| Self-employed workers | 18.7% | 11.4% | 10.5% | 10% | 209th of 1,810 | |
| Median age | 50.7 | 32.7 | 35.6 | 38.9 | 184th of 1,817 | |
| Foreign-born residents | 43.1% | 23.2% | 17.6% | 14.1% | 24th of 1,818 | |
| Uninsured rateWeakness | 18.2% | 25.8% | 17.1% | 8.4% | 690th of 1,808 | |
| Housing vacancy | 9% | 13.3% | 9.4% | 10.1% | 1,154th of 1,794 | |
| Income inequality (Gini) | 0.452 | 0.471 | 0.478 | 0.483 | 608th of 1,785 | |
| Average commute | 25.7 min | 21.3 min | 26.7 min | 26.4 min | 951st of 1,738 | |
| Work from home | 9.3% | 9.1% | 14.4% | 15.1% | 833rd of 1,810 | |
| Population density | 196/sq mi | 478/sq mi | 116/sq mi | 95/sq mi | 788th of 1,818 | |
| Government workers | 8.9% | 19.1% | 14.1% | 14.5% | 1,560th of 1,810 | |
| Healthcare workers | 4.9% | 12.3% | 8.6% | 9.7% | 1,445th of 1,810 | |
| Residents under 18 | 8.4% | 28.7% | 25% | 22% | 1,716th of 1,818 | |
| Population | 677 | 426,120 | 30,188,424 | 334,922,499 | 1,545th of 1,818 | |
| Per capita incomeWeakness | $17,172 | $24,089 | $40,752 | $44,673 | 1,752nd of 1,813 | |
| Median home value | $76,700 | $136,500 | $283,800 | $332,700 | 1,617th of 1,679 | |
| Bachelor's degree or higherWeakness | 2.6% | 22.1% | 33.8% | 35.7% | 1,769th of 1,811 | |
| Unemployment rateStrength | 0% | 5.9% | 5.3% | 5.2% | 1,636th of 1,810 | |
| Diversity index | 0 | 19.5 | 67.1 | 61.4 | 1,790th of 1,818 | |
| Broadband accessWeakness | 66.4% | 84.4% | 91.4% | 91% | 1,728th of 1,792 | |
| Veterans | 0% | 4.1% | 6.2% | 6.2% | 1,758th of 1,818 | |
| Median earnings per workerWeakness | $19,010 | $33,153 | $47,575 | $49,666 | 1,765th of 1,794 | |
| Tech workers | 0% | 1.3% | 3.8% | 3.8% | 1,388th of 1,810 |
The percentile is the share of Americans who live in a zip code with a lower value, so the 50th percentile is typical. Rank 1 is the highest value in the state. Both include zip codes with at least 100 residents. Strengths and weaknesses mark measures in the best or worst fifth nationally, where higher or lower is clearly better (income, poverty, education, commute, broadband, insurance and similar). Measures like age or density are left unmarked.
People
Age
Race and ethnicity
- White0%
- Black0%
- Hispanic100%
- Asian0%
- Native American0%
- Pacific Islander0%
- Other0%
- Multiracial0%
Language spoken at home (households)
Households
- Households
- 253
- Average household size
- 2.7
- Family households
- 77.1%
- Married couples
- 47.8%
- Living alone
- 22.9%
- Veterans (of adults)
- 0%
- Male / female
- 49% / 51%
Income and poverty
Household income distribution
Median household income
Housing
Median home value
Median gross rent
Types of housing
- Housing units
- 278
- Owner-occupied
- 100%
- Vacant
- 9%
- Median year built
- 1987
- Median rooms
- 4.9
- Renters paying 30%+ of income
- —
- Renters paying 50%+ of income
- —
- Home value to income
- —
Work and commute
How people get to work
Commute time (one way)
Jobs and careers
Occupations
Industries
Median earnings by type of work
| Type of work | 78592 | U.S. |
|---|---|---|
| Management, business, science and arts | — | $74,888 |
| Service | — | $26,804 |
| Sales and office | $24,524 | $40,476 |
| Construction and maintenance | — | $49,199 |
| Production and transportation | $16,222 | $39,989 |
Education, internet and health coverage
Highest education (adults 25+)
- High school graduate or higher
- 37.1%
- Bachelor's degree or higher
- 2.6%
- Graduate or professional degree
- 0%
- Households with broadband
- 66.4%
- Cable, fiber or DSL
- 48.2%
- No internet access
- 33.6%
- Without health insurance
- 18.2%
- Limited-English households
- 47.4%
Geography
- City (USPS)
- Santa Maria
- State
- Texas
- County
- Cameron County
- Center point
- 26.0620° N, 97.8470° W
- Land area
- 3.5 sq mi
- Water area
- 0.1 sq mi
- Time zone
- Central Time (UTC-6, UTC-5 in summer)
- Zip type
- Residential delivery area
Cities and towns within this zip
- Iglesia Antigua (unincorporated)29% of zip
- Santa Maria (unincorporated)6% of zip
Census places overlapping the zip's area. Mail may use a different city name than the municipality.
Zip codes near 78592
| Zip | City | Distance | IncomeMedian income |
|---|---|---|---|
| 78559 | La Feria, TX | 5.9 mi | $49,383 |
| 78579 | Progreso, TX | 6.4 mi | $19,172 |
| 78567 | Los Indios, TX | 6.9 mi | — |
| 78570 | Mercedes, TX | 8.5 mi | $41,965 |
| 78596 | Weslaco, TX | 9.8 mi | $58,411 |
| 78552 | Harlingen, TX | 11 mi | $69,811 |
| 78553 | Harlingen, TX · PO box | 13 mi | — |
| 78586 | San Benito, TX | 13 mi | $45,575 |
| 78599 | Weslaco, TX | 14 mi | $58,349 |
| 78535 | Combes, TX | 15 mi | $39,000 |
| 78593 | Santa Rosa, TX | 15 mi | $48,649 |
| 78551 | Harlingen, TX · PO box | 15 mi | — |
Questions about 78592
What city is zip code 78592?
78592 is assigned to Santa Maria, Texas. The city name is the one the Postal Service prefers for mail addressed to this zip code.
What county is 78592 in?
78592 is in Cameron County, Texas.
What is the population of 78592?
About 677 people live in 78592, according to the Census Bureau's American Community Survey.
What time zone is 78592 in?
78592 is in Central Time.
What zip codes are near 78592?
The closest zip codes to 78592 are 78559, 78579, 78567, 78570, 78596.
Demographic figures are 2020–2024 American Community Survey 5-year estimates for ZIP Code Tabulation Area 78592, from the U.S. Census Bureau. Small areas have wide margins of error. How we build these numbers.