Jackson County, TX ZIP Codes
Texas (TX) · 7 ZIP codes · 7 cities
7
ZIP codes
15,121
population (2021)
+7.4%
pop change since 2010
48239
FIPS code
Jackson County ZIP code map
About Jackson County
Jackson County is located in Texas and contains 7 ZIP codes across 7 cities and communities.
The county's population was 15,121 as of 2021,
an increase of
7.4% from 14,075 in 2010.
The timezone is Mountain Time (observes DST).
The Federal Information Processing System (FIPS) code for Jackson County is 48239.
| Population | |
|---|---|
| 2021 population | 15,121 |
| 2010 population | 14,075 |
| Change | +7.4% |
| County details | |
|---|---|
| State | Texas |
| FIPS code | 48239 |
| Timezone | Mountain |
| Daylight saving | Yes |
Cities in Jackson County
ZIP codes for Jackson County, TX (7)
| ZIP code | City | County | Map |
|---|---|---|---|
| 77957 | Edna | Jackson | View map |
| 77961 | Francitas | Jackson | View map |
| 77962 | Ganado | Jackson | View map |
| 77969 | La Salle | Jackson | View map |
| 77970 | La Ward | Jackson | View map |
| 77971 | Lolita | Jackson | View map |
| 77991 | Vanderbilt | Jackson | View map |
Demographics & statistics
13,159
Population
39.0
Median age
$67,675
Median household income
$29,569
Per capita income
$174,433
Median home value
$590
Median monthly rent
80.1%
Home ownership
8.6%
Poverty rate
2.9%
Unemployment
4,561
Housing units
8.3%
Bachelor's or higher
Age distribution
Male
Female
512
Under 5
375
415
5–9
303
588
10–14
430
602
15–19
440
365
20–24
267
805
25–34
588
993
35–44
726
891
45–54
652
426
55–59
311
552
60–64
404
768
65–74
562
555
75–84
405
129
85+
95
← Male
Female →
Age summary
| Group | Count | % |
|---|---|---|
| Under 18 | 3,249 | 21.2% |
| 18 and over | 9,910 | 78.8% |
| 65 and over | 2,514 | 22.5% |
| Median age | 39.0 years | |
Race & ethnicity
White
67.6%
Hispanic or Latino
11.4%
Two or more races
8%
Other race
6.3%
Black or African American
6%
Asian
0.5%
American Indian / Alaska Native
0.2%
| Group | Count | % |
|---|---|---|
| White | 10,046 | 67.6% |
| Hispanic or Latino | 1,699 | 11.4% |
| Two or more races | 1,183 | 8% |
| Other race | 939 | 6.3% |
| Black or African American | 886 | 6% |
| Asian | 80 | 0.5% |
| American Indian / Alaska Native | 25 | 0.2% |
Household income
Under $10k
3.0%
$10k–$15k
3.9%
$15k–$25k
5.6%
$25k–$35k
13.1%
$35k–$50k
8.3%
$50k–$75k
24.2%
$75k–$100k
11.4%
$100k–$150k
14.9%
$150k–$200k
11.4%
$200k+
4.2%
| Range | % of households |
|---|---|
| Under $10k | 3.0% |
| $10k–$15k | 3.9% |
| $15k–$25k | 5.6% |
| $25k–$35k | 13.1% |
| $35k–$50k | 8.3% |
| $50k–$75k | 24.2% |
| $75k–$100k | 11.4% |
| $100k–$150k | 14.9% |
| $150k–$200k | 11.4% |
| $200k+ | 4.2% |
| Median income | $67,675 |
Housing
Home values
Under $50k
8.5%
$50k–$100k
20.4%
$100k–$150k
8.8%
$150k–$200k
7.8%
$200k–$300k
44.4%
$300k–$500k
8.5%
$500k–$1M
1.6%
Housing overview
| Metric | Value |
|---|---|
| Median home value | $174,433 |
| Median rent / month | $590 |
| Owner occupied | 80.1% |
| Renter occupied | 19.9% |
| Vacant | 24.1% |
| Single-family detached | 65.1% |
| Large apartment buildings | 0.4% |
| Mobile homes | 26.5% |
| Median rooms | 5.9 |
| Avg household size (owned) | 3.09 |
Year built
| Era | % |
|---|---|
| 2020 or later | 0.0% |
| 2010–2019 | 5.1% |
| 2000–2009 | 12.0% |
| 1990–1999 | 11.4% |
| 1980–1989 | 20.4% |
| 1970–1979 | 9.2% |
| 1960–1969 | 10.4% |
| 1950–1959 | 18.1% |
| 1940–1949 | 9.5% |
| 1939 or earlier | 4.0% |
Bedrooms
| Size | % of units |
|---|---|
| No bedroom (studio) | 1.0% |
| 1 bedroom | 4.3% |
| 2 bedrooms | 16.7% |
| 3 bedrooms | 52.2% |
| 4 bedrooms | 23.3% |
| 5+ bedrooms | 2.6% |
Vehicles per household
| Vehicles | % of households |
|---|---|
| No vehicle | 4.6% |
| 1 vehicle | 32.3% |
| 2 vehicles | 35.2% |
| 3 or more | 27.9% |
Heating fuel
| Fuel type | % |
|---|---|
| Utility gas | 31.7% |
| Electricity | 61.5% |
| Propane / LP gas | 6.3% |
Households & families
| Household type | Count | % |
|---|---|---|
| Married-couple family | 2,762 | 71.0% |
| Cohabiting couple | 212 | 2.8% |
| Male householder, no spouse | 686 | 12.8% |
| Female householder, no spouse | 880 | 13.4% |
| Households with children under 18 | 1,556 | 35.9% |
| Households with seniors (65+) | 1,631 | 41.7% |
| Average household size | 3.02 | |
Marital status
| Status | Male | Female |
|---|---|---|
| Never married | 24.3% | 17.9% |
| Married | 55.3% | 66.2% |
| Separated | 1.6% | 0.4% |
| Widowed | 1.6% | 6.5% |
| Divorced | 17.1% | 9.0% |
Education
Less than 9th grade
7.2%
Some HS, no diploma
10.8%
HS graduate
40.6%
Some college, no degree
22.4%
Associate's degree
10.7%
Bachelor's degree
6.6%
Graduate / professional
1.7%
| Metric | % |
|---|---|
| HS diploma or higher | 82.0% |
| Bachelor's or higher | 8.3% |
School enrollment (ages 3–17)
| Type | Count | % |
|---|---|---|
| Nursery / preschool | 325 | 7.5% |
| Kindergarten | 165 | 2.8% |
| Elementary school | 1,355 | 60.9% |
| High school | 792 | 17.0% |
| College / grad school | 476 | 11.7% |
Employment
Industry of employment
Transportation & utilities
18.4%
Construction
17.2%
Manufacturing
16.9%
Education & healthcare
12.2%
Agriculture & mining
10.7%
Retail trade
7.6%
Arts, food & hospitality
4.4%
Other services
3.1%
Professional & management
3.0%
Finance & real estate
2.6%
Public administration
2.2%
Wholesale trade
1.1%
Information
0.5%
Occupation
| Category | % |
|---|---|
| Management, business & arts | 25.2% |
| Service | 11.1% |
| Sales & office | 26.4% |
| Natural resources & construction | 23.9% |
| Production & transportation | 13.4% |
Employment type
| Type | % |
|---|---|
| Private sector | 67.7% |
| Government | 25.2% |
| Self-employed | 7.1% |
| Unpaid family workers | 0.0% |
Commute
| Method | % |
|---|---|
| Drive alone | 67.3% |
| Carpool | 28.9% |
| Public transit | 0.0% |
| Walk | 0.6% |
| Other means | 0.7% |
| Avg commute (minutes) | 18.3 |
Poverty
All people
8.6%
Under 18 years
9.9%
18 and over
8.1%
Married-couple families
3.3%
Female-led households
20.9%
Income support
| Source | % of households |
|---|---|
| Social Security | 46.7% |
| Retirement income | 23.5% |
| Supplemental Security | 5.7% |
| Cash public assistance | 1.0% |
| Food stamps / SNAP | 11.0% |
Health indicators
| Condition | % |
|---|---|
| High blood pressure | 37.5% |
| High cholesterol | 36.2% |
| Heart disease | 7.2% |
| Stroke | 3.3% |
| Asthma | 9.3% |
| Arthritis | 24.4% |
| Kidney disease | 3.2% |
| Pulmonary disease | 7.6% |
| Cancer | 6.5% |
| Behavior / access | % |
|---|---|
| Binge drinking | 18.0% |
| No physical activity | 27.6% |
| Less than 7 hrs sleep | 34.6% |
| Fair or poor health | 18.6% |
| Poor mental health | 15.7% |
| Poor physical health | 12.2% |
| No health insurance | 28.8% |
| Visited doctor (checkup) | 71.3% |
| Visited dentist | 54.0% |
| Cholesterol screening | 88.5% |
| Teeth loss | 15.8% |
Veterans & disability
| Veterans | Count | % |
|---|---|---|
| Civilian veterans | 604 | 7.3% |
| Disability | % |
|---|---|
| Any disability | 15.3% |
| Under 18 | 3.0% |
| 18–64 years | 19.0% |
| 65 and over | 25.5% |
Health insurance coverage
| Type | % |
|---|---|
| Private insurance | 60.6% |
| Public insurance | 39.9% |
| Uninsured under 19 | 6.9% |
Language & origin
Language spoken at home (age 5+)
| Language | Count | % |
|---|---|---|
| English only | 12,272 | 94.9% |
| Spanish | 1,057 | 8.3% |
| Other Indo-European | 998 | 7.9% |
| Asian & Pacific Islander | 35 | 0.3% |
| Other languages | 24 | 0.1% |
Place of birth & citizenship
| Origin | Count | % |
|---|---|---|
| Native born (US) | 12,169 | 94.0% |
| Born in same state | 12,040 | 93.0% |
| Born in different state | 10,219 | 80.5% |
| Foreign born | 129 | 1.0% |
| Naturalized citizen | 990 | 6.0% |
| Not a US citizen | 346 | 22.6% |
Ancestry
| Ancestry | Count | % |
|---|---|---|
| Italian | 984 | 7.5% |
| French | 911 | 6.9% |
| Arab | 701 | 5.3% |
| Polish | 80 | 0.6% |
| Ancestry | Count | % |
|---|---|---|
| Norwegian | 77 | 0.6% |
| English | 74 | 0.6% |
| German | 37 | 0.3% |
Technology access
| Metric | % of households |
|---|---|
| Computer access | 32.9% |
| Internet access | 93.9% |
Source: U.S. Census Bureau, American Community Survey 2025 estimates.
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