college-majors
College Majors
This folder contains the data and code behind the story The Economic Guide To Picking A College Major.
All data is from American Community Survey 2010-2012 Public Use Microdata Series.
Download data here: http://www.census.gov/programs-surveys/acs/data/pums.html
Documentation here: http://www.census.gov/programs-surveys/acs/technical-documentation/pums.html
college-majors-rscript.R
- Assumes you've already downloaded the data and selected only records with non-NA values for college major (FOD1P)
- Outputs data to csv
majors-list.csv
- List of majors with their FOD1P codes and major categories.
- Major categories are from Carnevale et al, "What's It Worth?: The Economic Value of College Majors." Georgetown University Center on Education and the Workforce, 2011. http://cew.georgetown.edu/whatsitworth
Three main data files:
all-ages.csv
recent-grads.csv
(ages <28)grad-students.csv
(ages 25+)
All contain basic earnings and labor force information. recent-grads.csv
contains a more detailed breakdown, including by sex and by the type of job they got. grad-students.csv
contains details on graduate school attendees.
Additionally, women-stem.csv
contains data for scatter plot in associated DataLab post on women in science/technology jobs. It is a subset of recent-grads.csv
. (Small easter egg: Check out my related Shiny app: https://bencasselman.shinyapps.io/new-test/)
Headers for recent-grads.csv
are shown below:
Header | Description |
---|---|
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 | Male graduates |
Women | Female graduates |
ShareWomen | Women as share of total |
Employed | Number employed (ESR == 1 or 2) |
Full_time | Employed 35 hours or more |
Part_time | Employed less than 35 hours |
Full_time_year_round | Employed at least 50 weeks (WKW == 1) and at least 35 hours (WKHP >= 35) |
Unemployed | Number unemployed (ESR == 3) |
Unemployment_rate | Unemployed / (Unemployed + Employed) |
Median | Median earnings of full-time, year-round workers |
P25th | 25th percentile of earnings |
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 |
Files
Name | Download |
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