In today’s data dump, there are three observations to keep in mind while sifting through the data. First, Graph 1 through Graph 4 illustrate that as education increases, earnings increase. This is the case for both men and women. Mathematically these observations are confirmed by a positive slope.
Second, there is an obvious earnings discrepancy between men and women at each level of the education ladder. As an example, the earnings of “Some College or associate’s degree” for men, $41,407, is slightly lower than the earnings of a “Bachelor’s degree” for women, $41,763. This is a fascinating statistic.
It should be noted that the purpose of this data dump is to provide information; the purpose of this data dump is not to take a side on earnings differences between men and women, nor is it to examine why it is so.
With that said, it should be noted that these discrepancies will change, increase or decrease, at different levels of the Super-system, which is the United States. For example, earnings differences between men and women will vary at the regional, the state level, the county, level, the city level, the zip code level, and so and so forth. And these earnings differences will change depending on geography, education (obviously), and industry and type of job, just to name a few parameters.
Lastly, Graph 2, Graph 3, and Graph 4 are simply partitions of Graph 1. That is, the three following graphs have been created to help the reader parse out the data a bit more clearly, i.e., make the data less busy. And it provides the reader with the opportunity to see the earnings behavior of the United States from different perspectives, while also providing the capability of comparing data in Graph 1.
Here’s Saturday’s data dump on 2015 earnings by education and sex in the United States.
Total Earnings by Education and Sex
Male Earnings by Education and Sex
Female Earnings by Education and Sex
Matt has a Bachelor of Science in Systems Science, with focuses in applied mathematics and economic systems, from Iowa State University. He is also a professional member of the Society of Industrial and Applied Mathematics and the International Society for the Systems Sciences and a scholarly member of Omicron Delta Epsilon, which is an International Honors Society for Economics.
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