Sifting through a college’s Common Data Set can take a lot of time. Instead, we’ve gathered the most important information from USC’s most recent Common Data Set to provide you with the information you need, at a quick glance.
This guide contains key information from USC Common Data Set 2022-2023.
USC Common Data Set Quick Facts
- Public vs. Private: Private
- Geographic Region: Far West
- State: California
- Student to Faculty Ratio: 9 to 1
- Full Time Undergraduates: 20,790
Merit Scholarships for USC
- Percentage of students with no financial need who were awarded merit scholarships: 46%
- Average dollar amount of non-need based merit scholarships: $20,937
Important Factors Considered For Admissions
- Rigor of secondary school record
- Academic GPA
- Standardized test scores
- Application essay
Student Life Information
- Percentage of students from out-of-state: 49%
- Percentage of students who join sororities: 12%
- Percentage of students who join fraternities: 10%
- Percentage of nonresident aliens: 12%
- Percentage of Hispanic/Latino: 17%
- Percentage of Black or African American, non-Hispanic: 6%
- Percentage of White, non-Hispanic: 32%
- Percentage of American Indian or Alaska Native, non-Hispanic: Less than 1%
- Percentage of Asian, non-Hispanic: 24%
- Percentage of Native Hawaiian or other Pacific Islander, non-Hispanic: Less than 1%
- Percentage of two or more races, non-Hispanic: 6%
- Percentage of unknown race and/or ethnicity: 2%
This information was gathered from the USC Common Data Set 2022-2023.
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You can quickly and easily use the spreadsheet to find colleges where your student is in the top 25th percentile of applicants and more likely to receive merit scholarships.
College Insights (CI) can help you discover schools that are generous with merit scholarships and fit the criteria most important to your student.
You’ll not only save precious time, but they’ll avoid the heartache of applying to schools they aren’t likely to get into or can’t afford to attend.
Common data set quick facts for other schools: