| college_recent_grads {fivethirtyeight} | R Documentation |
The Economic Guide To Picking A College Major
Description
The raw data behind the story "The Economic Guide To Picking A College Major" https://fivethirtyeight.com/features/the-economic-guide-to-picking-a-college-major/.
Usage
college_recent_grads
Format
A data frame with 173 rows representing majors (recent graduates) and 21 variables:
- rank
Rank by median earnings
- major_code
Major code, FO1DP in ACS PUMS
- major
Major description
- major_category
Category of major from Carnevale et al
- total
Total number of people with major
- sample_size
Sample size (unweighted) of full-time, year-round ONLY (used for earnings)
- men
Men with major
- women
Women with major
- sharewomen
Proportion women
- employed
Number employed (ESR == 1 or 2)
- employed_fulltime
Employed 35 hours or more
- employed_parttime
Employed less than 35 hours
- employed_fulltime_yearround
Employed at least 50 weeks (WKW == 1) and at least 35 hours (WKHP >= 35)
- unemployed
Number unemployed (ESR == 3)
- unemployment_rate
Unemployed / (Unemployed + Employed)
- p25th
25th percentile of earnings
- median
Median earnings of full-time, year-round workers
- p75th
75th percentile of earnings
- college_jobs
Number with job requiring a college degree
- non_college_jobs
Number with job not requiring a college degree
- low_wage_jobs
Number in low-wage service jobs
Source
See https://github.com/fivethirtyeight/data/blob/master/college-majors/readme.md. Note that
women-stem.csv was a subset of the original recent-grads.csv, so no data frame was created.
See Also
college_grad_students, college_all_ages