Median Earnings (1yr)
$31,617
46th percentile (40th in NY)
Median Debt
$22,559
10% below national median
Debt-to-Earnings
0.71
Manageable
Sample Size
18
Limited data

Analysis

SUNY Fredonia's biology program starts below both state and national medians, landing in the 40th percentile among New York biology programs—roughly $10,000 behind the state's top-performing schools. The $31,617 first-year salary trails even the median for New York biology graduates. That said, the debt burden of $22,559 is more manageable than typical biology programs, coming in about $2,500 below both state and national averages. The 0.71 debt-to-earnings ratio means graduates can reasonably expect to pay down their loans within a couple years of focused repayment.

The 34% earnings jump by year four ($42,405) is solid and suggests graduates find their footing after entry-level positions. However, keep in mind these figures come from a small sample—fewer than 30 graduates reported data, which means one or two outliers could skew the picture significantly. Biology is notorious for requiring graduate degrees to reach higher earning potential, so if your child is headed toward medical, dental, or graduate school, the lower debt load here becomes more advantageous than at pricier alternatives.

For families prioritizing affordability and in-state tuition, this program won't derail financial plans. But if your student is competitive enough for schools like Hamilton or Barnard (which show $40,000+ first-year salaries), the earnings difference matters—especially if they plan to work with just a bachelor's degree.

Where SUNY at Fredonia Stands

Earnings vs. debt across all biology bachelors's programs nationally

SUNY at FredoniaOther biology 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 SUNY at Fredonia graduates compare to all programs nationally

SUNY at Fredonia graduates earn $32k, placing them in the 46th percentile of all biology bachelors 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 New York

Biology bachelors's programs at peer institutions in New York (92 total in state)

SchoolEarnings (1yr)Earnings (4yr)Median DebtDebt/Earnings
SUNY at Fredonia$31,617$42,405$22,5590.71
Barnard College$47,329—$16,6350.35
Hamilton College$43,639—$17,0000.39
The College of Saint Rose$41,068$53,389$27,0000.66
Columbia University in the City of New York$40,935$62,588$19,8920.49
CUNY Medgar Evers College$39,810$49,396$13,9800.35
National Median$32,316—$25,0000.77

Other Biology Programs in New York

Compare tuition, earnings, and debt across New York schools

SchoolIn-State TuitionEarnings (1yr)Debt
Barnard College
New York
$66,246$47,329$16,635
Hamilton College
Clinton
$65,740$43,639$17,000
The College of Saint Rose
Albany
$37,452$41,068$27,000
Columbia University in the City of New York
New York
$69,045$40,935$19,892
CUNY Medgar Evers College
Brooklyn
$7,352$39,810$13,980

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 SUNY at Fredonia, approximately 37% 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 29 graduates with debt data. Small samples may not be representative.