Median Earnings (1yr)
$46,461
86th percentile (60th in TX)
Median Debt
$21,000
6% above national median
Debt-to-Earnings
0.45
Manageable
Sample Size
48
Adequate data

Analysis

St. Philip's College delivers something increasingly rare in healthcare education: strong earnings with manageable debt. At $46,461 right out of the gate, graduates earn 26% more than the national median for medical assisting programs and rank in the 86th percentile nationally. The debt-to-earnings ratio of 0.45 means students typically owe less than half their first year's salary—a comfortable position for most households.

The Texas picture adds useful nuance. While this program significantly outperforms the national field, it lands right at the state median, ranking in the 60th percentile among Texas programs. This makes sense given Texas's robust healthcare infrastructure, which lifts all boats. The top programs in the state push earnings into the low $50,000s, but they're not dramatically better—St. Philip's gets you 90% of the way there. Earnings also grow modestly over four years to $49,130, suggesting career stability even if upward mobility is limited.

For families in San Antonio, this represents solid preparation for immediate employment in a growing field. The program won't make your child wealthy, but it provides quick entry to stable work without the debt burden that plagues many healthcare degrees. Given San Antonio's lower cost of living, these earnings stretch further than the numbers suggest.

Where St Philip's College Stands

Earnings vs. debt across all allied health and medical assisting services associates's programs nationally

St Philip's CollegeOther allied health and medical assisting services programs

Programs in the upper-left quadrant (high earnings, low debt) offer the best value. Programs in the lower-right quadrant warrant careful consideration.

Earnings Distribution

How St Philip's College graduates compare to all programs nationally

St Philip's College graduates earn $46k, placing them in the 86th percentile of all allied health and medical assisting services associates programs nationally.

Earnings Over Time

How earnings evolve from 1 year to 4 years after graduation

Earnings trajectories vary significantly. Some programs show strong early returns that plateau; others start lower but accelerate. Consider where you want to be at year 4, not just year 1.

Compare to Similar Programs in Texas

Allied Health and Medical Assisting Services associates's programs at peer institutions in Texas (51 total in state)

SchoolEarnings (1yr)Earnings (4yr)Median DebtDebt/Earnings
St Philip's College$46,461$49,130$21,0000.45
Western Technical College$53,747$58,777
Western Technical College$53,747$58,777
San Jacinto Community College$52,032$60,275$21,0000.40
Kilgore College$51,558
Navarro College$51,543$50,309$24,4480.47
National Median$36,862$19,8250.54

Other Allied Health and Medical Assisting Services Programs in Texas

Compare tuition, earnings, and debt across Texas schools

SchoolIn-State TuitionEarnings (1yr)Debt
Western Technical College
El Paso
$53,747
Western Technical College
El Paso
$53,747
San Jacinto Community College
Pasadena
$1,992$52,032$21,000
Kilgore College
Kilgore
$2,160$51,558
Navarro College
Corsicana
$3,008$51,543$24,448

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 St Philip's College, approximately 21% 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 48 graduates with reported earnings and 41 graduates with debt data. Small samples may not be representative.