Event Title

The Impact of Women on Annual Household Income per County

Advisor(s)

Patrick Kearney; Illinois Mathematics and Science Academy

Discipline

Behavioral and Social Sciences

Start Date

21-4-2021 10:25 AM

End Date

21-4-2021 10:40 AM

Abstract

In the United States, gender roles have always played a large part in economic growth. However, to what extent do they still affect the modern world, and how does it affect financial wellbeing? This project will explore if there is a correlation between the ratio of women to men and average annual income on a county-level, and examine possible trends that develop, on a local (individual state) and national (state-by-state) level. In order to determine if there is a significant relationship, datasets in both areas will be compiled and studied using various graphical methods and statistical tests—examining for patterns and correlations. The current results of data analysis will show that, within Illinois, the closer the ratio is to an even distribution, or 1:1, the higher the average annual household income. This data will also be looked at in conjunction with the average annual income rates of breadwinning mothers, who still “consistently earn less than their male counterparts at all income levels” (Glynn 2019). The data for this project illustrates that, economically, counties seem to do best with an even split of male and female residents, and examines possible reasons behind this relationship.

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Apr 21st, 10:25 AM Apr 21st, 10:40 AM

The Impact of Women on Annual Household Income per County

In the United States, gender roles have always played a large part in economic growth. However, to what extent do they still affect the modern world, and how does it affect financial wellbeing? This project will explore if there is a correlation between the ratio of women to men and average annual income on a county-level, and examine possible trends that develop, on a local (individual state) and national (state-by-state) level. In order to determine if there is a significant relationship, datasets in both areas will be compiled and studied using various graphical methods and statistical tests—examining for patterns and correlations. The current results of data analysis will show that, within Illinois, the closer the ratio is to an even distribution, or 1:1, the higher the average annual household income. This data will also be looked at in conjunction with the average annual income rates of breadwinning mothers, who still “consistently earn less than their male counterparts at all income levels” (Glynn 2019). The data for this project illustrates that, economically, counties seem to do best with an even split of male and female residents, and examines possible reasons behind this relationship.