college_recent_grads

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>.

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'FiveThirtyEight' available at <https://github.com/fivethirtyeight/data>.
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package is not officially published by 'FiveThirtyEight'.

Albert Y Kim

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college_recent_grads function

A data frame with 173 rows representing majors (recent graduates) and 21 variables:<dl class="dl-horizontal">
 <dt>rank</dt><dd>Rank by median earnings</dd>
 <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>sample_size</dt><dd>Sample size (unweighted) of full-time, year-round ONLY (used for earnings)</dd>
 <dt>men</dt><dd>Men with major</dd>
 <dt>women</dt><dd>Women with major</dd>
 <dt>sharewomen</dt><dd>Proportion women</dd>
 <dt>employed</dt><dd>Number employed (ESR == 1 or 2)</dd>
 <dt>employed_fulltime</dt><dd>Employed 35 hours or more</dd>
 <dt>employed_parttime</dt><dd>Employed less than 35 hours</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>
 <dt>college_jobs</dt><dd>Number with job requiring a college degree</dd>
 <dt>non_college_jobs</dt><dd>Number with job not requiring a college degree</dd>
 <dt>low_wage_jobs</dt><dd>Number in low-wage service jobs</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_recent_grads

A data frame with 173 rows representing majors (recent graduates) and 21 variables:<dl class='dl-horizontal'>
 <dt>rank</dt><dd>Rank by median earnings</dd>
 <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>sample_size</dt><dd>Sample size (unweighted) of full-time, year-round ONLY (used for earnings)</dd>
 <dt>men</dt><dd>Men with major</dd>
 <dt>women</dt><dd>Women with major</dd>
 <dt>sharewomen</dt><dd>Proportion women</dd>
 <dt>employed</dt><dd>Number employed (ESR == 1 or 2)</dd>
 <dt>employed_fulltime</dt><dd>Employed 35 hours or more</dd>
 <dt>employed_parttime</dt><dd>Employed less than 35 hours</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>
 <dt>college_jobs</dt><dd>Number with job requiring a college degree</dd>
 <dt>non_college_jobs</dt><dd>Number with job not requiring a college degree</dd>
 <dt>low_wage_jobs</dt><dd>Number in low-wage service jobs</dd>
</dl>

The Economic Guide To Picking A College Major

college_recent_grads: The Economic Guide To Picking A College Major

Description

Usage

Arguments

Format

See Also