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Recent Graduate Salary Guide
Data Science and Analytics
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About
Data detailing the economic outcomes associated with college majors, derived from a 538 article titled "The Economic Guide to Picking a College Major." This product focuses specifically on recent graduates, providing metrics like median salaries, employment statistics, and gender distribution. The inclusion of gender data allows for more detailed analysis of post-graduation financial success and the implications of major choice.
Columns
The dataset contains twenty-one fields detailing various aspects of major outcomes:
- Rank: Major ranking based on median salary.
- Major_code: The standard FOD1P code assigned to each major.
- Major: A textual description of the field of study.
- Total: The total number of graduates from that specific major.
- Men: The total number of male graduates.
- Women: The total number of female graduates.
- Major_category: The broader category the major belongs to, referencing the Carnevale major classification (e.g., Engineering, Education).
- ShareWomen: The proportion of female graduates relative to the total number of graduates.
- Sample_size: The unweighted sample size of graduates who were employed full-time, year-round only.
- Employed: The count of graduates who are currently employed.
- Full_time: The count of graduates employed for a minimum of 35 hours per week.
- Part_time: The count of graduates employed for fewer than 35 hours per week.
- Full_time_year_round: The count of graduates employed for at least 50 weeks annually and 35 hours weekly.
- Unemployed: The count of graduates who are not employed.
- Unemployment_rate: The ratio of unemployed graduates to the total labor force (employed plus unemployed).
- Median: The median salary for graduates employed full-time, year-round (ranging from £22,000 to £110,000).
- P25th: The 25th percentile of earnings.
- P75th: The 75th percentile of earnings.
- College_jobs: The count of graduates in jobs that require a college degree.
- Non_college_jobs: The count of graduates in jobs that do not require a college degree.
- Low_wage_jobs: The count of graduates working in low-wage service sector roles.
Distribution
The data is structured as a tabular file, typically in CSV format, containing 21 columns and 173 records. For the total graduate counts, gender counts, and the share of women (Total, Men, Women, ShareWomen), there is one missing value recorded, resulting in 172 valid entries for those four specific metrics.
Usage
This data is ideal for analysis regarding the economic return on investment for higher education. Use cases include benchmarking median salaries and comparing economic outcomes across diverse academic fields. It is excellent for analyzing employment statistics, salary distributions, and performing gender-based analysis among recent graduates. It helps users understand the financial implications associated with major choice.
Coverage
The dataset covers economic outcomes for various college majors sourced from a report published in the United States. The focus is specifically on data pertaining to recent college graduates. The data source is the college_majors.csv file. The dataset includes demographic details like gender counts for detailed population segmentation. The expected update frequency is Never.
License
CC0: Public Domain
Who Can Use It
The dataset is intended for economic researchers and data analysts interested in socio-economic data segmentation. It is also valuable for academic counsellors providing career guidance, and for individuals such as students and parents making informed decisions about future fields of study, recognizing that these choices determine much of their future life.
Dataset Name Suggestions
- Economic Outcomes of College Majors (US)
- Recent Graduate Salary Guide
- 538 College Major Earnings Data
- US College Major Employment Statistics
Attributes
Original Data Source: Recent Graduate Salary Guide
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