Median Earnings (1yr)
$27,031
48th percentile
40th percentile in Texas
Est. Median Debt
$10,136
Est. from TX median (48 programs)

Where Angelina College Stands

Earnings vs. debt across all liberal arts and sciences, general studies and humanities associates's programs nationally

Earnings Distribution

How Angelina College graduates compare to all programs nationally

Compare to Similar Programs in Texas

Liberal Arts and Sciences, General Studies and Humanities associates's programs at peer institutions in Texas (73 total in state)

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SchoolIn-State TuitionEarnings (1yr)Earnings (4yr)Median Debt*Debt/Earnings
Angelina CollegeLufkin$3,150$27,031$10,136*
Central Texas CollegeKilleen$3,150$39,731$40,293$8,400*0.21
Austin Community College DistrictAustin$2,550$38,436$47,311$15,000*0.39
Howard CollegeBig Spring$2,766$36,240$35,922$14,233*0.39
Southwest College for the DeafBig Spring$2,766$36,240$35,922$14,233*0.39
Alvin Community CollegeAlvin$1,834$35,306$36,759$8,081*0.23
National Median$27,248$10,950*0.40
* Estimated from similar programs

Career Paths

Occupations commonly associated with liberal arts and sciences, general studies and humanities graduates

Postsecondary Teachers, All Other

All postsecondary teachers not listed separately.

About This Data

Source: U.S. Department of Education College Scorecard (October 2025 release)

Population: Graduates who received federal financial aid (Title IV grants or loans). At Angelina College, approximately 39% of students receive Pell grants. Students who did not receive federal aid are not included in these figures.

Earnings: Median earnings from IRS W-2 data for graduates who are employed and not enrolled in further education, measured 1 year after completion. Earnings are pre-tax and include wages, salaries, and self-employment income.

Debt: Median cumulative federal loan debt at graduation. Does not include private loans or Parent PLUS loans borrowed on behalf of students.

Sample Size: Based on 18 graduates with reported earnings and 13 graduates with debt data. Small samples may not be representative.