On this page is a 2016 female and male income percentile by age calculator for the United States. The data comes from the Annual Social and Economic Supplement (ASEC) survey of 2016. The ASEC is a March survey and income for this piece is all types of income earned between January and December of 2015. We have data for males and females in the workforce from ages 18-80.
Source and Methodology on the Female and Male Income Percentile by Age Calculator
Miriam King, Steven Ruggles, J. Trent Alexander, Sarah Flood, Katie Genadek, Matthew B. Schroeder, Brandon Trampe, and Rebecca Vick. Integrated Public Use Microdata Series, Current Population Survey: Version 3.0. [Machine-readable database]. Minneapolis: University of Minnesota, 2010.
The number of data points hasn’t changed from the last calculator; there are 47,939 male data points and 44,442 female data points or 86,909,132.73 males and 77,888,992.56 females. We won’t break the numbers down per group, but as you can imagine the results are more statistically significant for some splits than others. If you are writing scholarly research you should be reproducing this yourself anyway – use the same filtering step as we used in the first calculator (individual income percentiles) to start with our assumptions.
Female and Male Incomes, Ages and the Gender-Pay Gap
Even after adjusting for various factors such as experience, industry, and weekly hours worked there is still a 3 to 8 cent unexplained gender pay gap in the United States. (See here, here, and here). This calculator data is unadjusted, and the raw data implies a very large wage gap, especially at certain ages. Here are the numbers from this full dataset:
Female Individual Median Income: $31,781
Male Individual Median Income: $45,000
Female Individual Mean Income: $42,630.90
Male Individual Mean Income: $63,041.93
Careful study of the disparity would require adjusting for a number of factors. If you are using this calculator as the basis for further research, please note the raw nature of this calculator.
Keeping all that in mind – do you see anything interesting in the data? Any requests for next year?