Median Earnings (1yr)
$29,013
18th percentile (25th in FL)
Median Debt
$25,563
29% above national median
Debt-to-Earnings
0.88
Manageable
Sample Size
26
Limited data

Analysis

With such a small graduating class, these numbers should be treated as a rough signal rather than a definitive picture. That said, what they suggest isn't encouraging: graduates earn about $29,000 regardless of whether they're fresh out or four years into their careers, while taking on $25,500 in debt to get there.

The Florida context makes this harder to ignore. While the debt load matches the state median for medical assisting programs, earnings fall $5,000 short of what's typical across Florida's 43 programs. When you can attend Santa Fe College or St. Petersburg College—public institutions where similar program graduates earn over $40,000—the value proposition here becomes murky. The 92% Pell grant rate tells you this school serves students who can least afford to bet on a program that underperforms state norms.

The flat earnings trajectory is particularly troubling for a healthcare field where experience typically translates to higher wages. Your child would be making essentially the same salary in year four as in year one, while carrying debt that equals nearly a full year's income. Given the small sample size, you might wait to see if more data emerges, but right now this looks like a situation where Florida's community colleges offer better outcomes at lower cost.

Where ATA Career Education Stands

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

ATA Career EducationOther 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 ATA Career Education graduates compare to all programs nationally

ATA Career Education graduates earn $29k, placing them in the 18th 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 Florida

Allied Health and Medical Assisting Services associates's programs at peer institutions in Florida (43 total in state)

SchoolEarnings (1yr)Earnings (4yr)Median DebtDebt/Earnings
ATA Career Education$29,013$29,047$25,5630.88
Hodges University$50,942$44,787$21,2500.42
Santa Fe College$42,710$26,2500.61
Taylor College$42,622$50,875$25,2500.59
St Petersburg College$41,802$20,4530.49
Gulf Coast State College$40,027$49,758
National Median$36,862$19,8250.54

Other Allied Health and Medical Assisting Services Programs in Florida

Compare tuition, earnings, and debt across Florida schools

SchoolIn-State TuitionEarnings (1yr)Debt
Hodges University
Fort Myers
$15,580$50,942$21,250
Santa Fe College
Gainesville
$2,563$42,710$26,250
Taylor College
Ocala
$13,263$42,622$25,250
St Petersburg College
St. Petersburg
$2,682$41,802$20,453
Gulf Coast State College
Panama City
$2,370$40,027

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 ATA Career Education, approximately 92% 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 26 graduates with reported earnings and 29 graduates with debt data. Small samples may not be representative.