Where California State University-Los Angeles Stands
Earnings vs. debt across all geography and cartography bachelors's programs nationally
Earnings Distribution
How California State University-Los Angeles graduates compare to all programs nationally
Compare to Similar Programs in California
Geography and Cartography bachelors's programs at peer institutions in California (22 total in state)
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| School | In-State Tuition | Earnings (1yr) | Earnings (4yr) | Median Debt* | Debt/Earnings |
|---|---|---|---|---|---|
| $6,813 | $33,727 | โ | $14,999* | โ | |
| $7,602 | $48,227 | $52,747 | $15,881* | 0.33 | |
| $8,190 | $40,614 | โ | $11,000* | 0.27 | |
| $8,064 | $40,380 | $50,787 | $19,250* | 0.48 | |
| $8,290 | $38,648 | โ | $14,999* | 0.39 | |
| $14,965 | $37,398 | $57,435 | $13,750* | 0.37 | |
| National Median | โ | $38,726 | โ | $22,657* | 0.59 |
Career Paths
Occupations commonly associated with geography and cartography graduates
Geographers
Geography Teachers, Postsecondary
Cartographers and Photogrammetrists
Surveying and Mapping Technicians
Managers, All Other
Regulatory Affairs Managers
Compliance Managers
Wind Energy Operations Managers
Wind Energy Development Managers
Brownfield Redevelopment Specialists and Site Managers
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 California State University-Los Angeles, approximately 66% 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 10 graduates with debt data. Small samples may not be representative.