Analysis
Liberty University's Human Development and Family Studies program produces concerning results: graduates earn around $31,000 right after graduation and see virtually no income growth over the next four years. That $23,250 in debt represents nearly 75% of first-year earnings, which creates a tight financial situation for young professionals typically entering social services or education fields. The program ranks in the 29th percentile nationally and 40th percentile among Virginia programs—meaning roughly seven out of ten comparable programs produce better outcomes. For context, George Mason University graduates in this field earn $45,000, demonstrating there are significantly stronger options even within Virginia.
The stagnant earnings trajectory is the real warning sign here. While some degrees see graduates double their income between years one and four, this program shows essentially flat earnings, suggesting limited career advancement or professional development opportunities. Combined with below-average starting salaries, this creates a scenario where graduates may struggle to build financial momentum in their twenties—precisely when they need it most for major life decisions.
If your child is committed to this field, they should explore whether attending a state school like Virginia Tech (where graduates earn $34,000 with similar debt loads) might offer better value. The field itself pays modestly nationwide, so choosing the strongest possible program becomes even more important when earning potential is inherently limited.
Where Liberty University Stands
Earnings vs. debt across all human development, family studies, bachelors's programs nationally
Earnings Distribution
How Liberty University graduates compare to all programs nationally
Earnings Over Time
How earnings evolve from 1 year to 4 years after graduation
| School | 1 Year | 4 Years | Growth |
|---|---|---|---|
| Liberty University | $31,083 | $31,357 | +1% |
| Cornell University | $38,401 | $61,634 | +61% |
| University of Illinois Urbana-Champaign | $29,762 | $53,297 | +79% |
| California State University-East Bay | $41,195 | $53,103 | +29% |
| Virginia Polytechnic Institute and State University | $33,654 | $48,423 | +44% |
Compare to Similar Programs in Virginia
Human Development, Family Studies, bachelors's programs at peer institutions in Virginia (5 total in state)
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| School | In-State Tuition | Earnings (1yr) | Earnings (4yr) | Median Debt | Debt/Earnings |
|---|---|---|---|---|---|
| $21,222 | $31,083 | $31,357 | $23,250 | 0.75 | |
| $13,815 | $45,140 | — | $24,300 | 0.54 | |
| $20,986 | $34,533 | — | $19,500 | 0.56 | |
| $15,478 | $33,654 | $48,423 | $21,500 | 0.64 | |
| National Median | — | $33,543 | — | $25,000 | 0.75 |
Career Paths
Occupations commonly associated with human development, family studies, graduates
Psychologists, All Other
Neuropsychologists
Clinical Neuropsychologists
Family and Consumer Sciences Teachers, Postsecondary
Social and Human Service Assistants
Preschool Teachers, Except Special Education
Childcare Workers
Nannies
Social Scientists and Related Workers, All Other
Community and Social Service Specialists, All Other
Farm and Home Management Educators
Teaching Assistants, Preschool, Elementary, Middle, and Secondary School, Except Special Education
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 Liberty University, 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 47 graduates with reported earnings and 47 graduates with debt data. Small samples may not be representative.