college_all_ages

The raw data behind the story
"The Economic Guide To Picking A College Major"
<a href="https://fivethirtyeight.com/features/the-economic-guide-to-picking-a-college-major/">https://fivethirtyeight.com/features/the-economic-guide-to-picking-a-college-major/</a>.

datasets

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'FiveThirtyEight' available at <https://github.com/fivethirtyeight/data>.
Note that while we received guidance from editors at 'FiveThirtyEight', this
package is not officially published by 'FiveThirtyEight'.

Albert Y Kim

fivethirtyeight

Data and Code Behind the Stories and Interactives at
'FiveThirtyEight'

Albert Y. Kim

Chester Ismay

Jennifer Chunn

Meredith Manley

Maggie Shea

Starry Yujia Zhou

Andrew Flowers

Jonathan Bouchet

G. Elliott Morris

Adam Spannbauer

Pradeep Adhokshaja

Olivia Barrows

Jojo Miller

Jayla Nakayama

college_all_ages function

A data frame with 173 rows representing majors (all ages) and 11 variables:<dl class="dl-horizontal">
 <dt>major_code</dt><dd>Major code, FO1DP in ACS PUMS</dd>
 <dt>major</dt><dd>Major description</dd>
 <dt>major_category</dt><dd>Category of major from Carnevale et al</dd>
 <dt>total</dt><dd>Total number of people with major</dd>
 <dt>employed</dt><dd>Number employed (ESR == 1 or 2)</dd>
 <dt>employed_fulltime_yearround</dt><dd>Employed at least 50 weeks (WKW == 1) and at least 35 hours (WKHP &gt;= 35)</dd>
 <dt>unemployed</dt><dd>Number unemployed (ESR == 3)</dd>
 <dt>unemployment_rate</dt><dd>Unemployed / (Unemployed + Employed)</dd>
 <dt>p25th</dt><dd>25th percentile of earnings</dd>
 <dt>median</dt><dd>Median earnings of full-time, year-round workers</dd>
 <dt>p75th</dt><dd>75th percentile of earnings</dd>
</dl>

Format

The raw data behind the story
"The Economic Guide To Picking A College Major"
<a href='https://fivethirtyeight.com/features/the-economic-guide-to-picking-a-college-major/'>https://fivethirtyeight.com/features/the-economic-guide-to-picking-a-college-major/</a>.

The Economic Guide To Picking A College Major — college_all_ages

A data frame with 173 rows representing majors (all ages) and 11 variables:<dl class='dl-horizontal'>
 <dt>major_code</dt><dd>Major code, FO1DP in ACS PUMS</dd>
 <dt>major</dt><dd>Major description</dd>
 <dt>major_category</dt><dd>Category of major from Carnevale et al</dd>
 <dt>total</dt><dd>Total number of people with major</dd>
 <dt>employed</dt><dd>Number employed (ESR == 1 or 2)</dd>
 <dt>employed_fulltime_yearround</dt><dd>Employed at least 50 weeks (WKW == 1) and at least 35 hours (WKHP &gt;= 35)</dd>
 <dt>unemployed</dt><dd>Number unemployed (ESR == 3)</dd>
 <dt>unemployment_rate</dt><dd>Unemployed / (Unemployed + Employed)</dd>
 <dt>p25th</dt><dd>25th percentile of earnings</dd>
 <dt>median</dt><dd>Median earnings of full-time, year-round workers</dd>
 <dt>p75th</dt><dd>75th percentile of earnings</dd>
</dl>

The Economic Guide To Picking A College Major

college_all_ages: The Economic Guide To Picking A College Major

Description

Usage

Arguments

Format

See Also