college_recent_grads: The Economic Guide To Picking A College Major
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1	college_recent_grads

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

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.

fivethirtyeight documentation built on Oct. 7, 2021, 5:09 p.m.

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