Median Earnings (1yr)
$31,641
71st percentile (60th in VA)
Sample Size
16
Limited data

Earnings Distribution

How Centura College-Newport News graduates compare to all programs nationally

Centura College-Newport News graduates earn $32k, placing them in the 71th percentile of all building/construction finishing, management, and inspection certificate programs nationally.

Compare to Similar Programs in Virginia

Building/Construction Finishing, Management, and Inspection certificate's programs at peer institutions in Virginia (6 total in state)

SchoolEarnings (1yr)Earnings (4yr)Median DebtDebt/Earnings
Centura College-Newport News$31,641
Tidewater Tech-Trades$35,172$32,984$9,5000.27
Centura College-Virginia Beach$31,641
Centura College-Richmond Main$31,641
CET-Alexandria$28,485$28,351$6,4250.23
National Median$28,485$7,5210.26

Other Building/Construction Finishing, Management, and Inspection Programs in Virginia

Compare tuition, earnings, and debt across Virginia schools

SchoolIn-State TuitionEarnings (1yr)Debt
Tidewater Tech-Trades
Norfolk
$16,337$35,172$9,500
Centura College-Virginia Beach
Virginia Beach
$16,637$31,641
Centura College-Richmond Main
North Chesterfield
$16,637$31,641
CET-Alexandria
Alexandria
$28,485$6,425

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 Centura College-Newport News, approximately 80% 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 17 graduates with debt data. Small samples may not be representative.