Median Earnings (1yr)
$18,041
58th percentile (60th in TX)
Sample Size
16
Limited data

Earnings Distribution

How Frank Phillips College graduates compare to all programs nationally

Frank Phillips College graduates earn $18k, placing them in the 58th percentile of all cosmetology certificate programs nationally.

Compare to Similar Programs in Texas

Cosmetology certificate's programs at peer institutions in Texas (151 total in state)

SchoolEarnings (1yr)Earnings (4yr)Median DebtDebt/Earnings
Frank Phillips College$18,041
Paul Mitchell the School-Austin$26,824$28,868$10,4140.39
Champion Beauty College$26,736$19,014$10,2320.38
DuVall's School of Cosmetology$26,435$23,177$7,9170.30
Charles and Sues School of Hair Design$23,225$20,327$9,8330.42
Tint School of Makeup & Cosmetology$23,225$21,232$7,6980.33
National Median$17,113$9,8620.58

Other Cosmetology Programs in Texas

Compare tuition, earnings, and debt across Texas schools

SchoolIn-State TuitionEarnings (1yr)Debt
Paul Mitchell the School-Austin
Austin
$26,824$10,414
Champion Beauty College
Houston
$26,736$10,232
DuVall's School of Cosmetology
Bedford
$26,435$7,917
Charles and Sues School of Hair Design
Bryan
$23,225$9,833
Tint School of Makeup & Cosmetology
Irving
$23,225$7,698

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 Frank Phillips College, approximately 24% 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 16 graduates with reported earnings and 10 graduates with debt data. Small samples may not be representative.