Predictive Analysis of Salary Classifications: The Influences of Demographics and Professions

About

This project analyzes the effect of income determinants, including demographic, personal, and professional factors. With a dataset comprising 32,561 records and 15 features, we aim to unravel the complexities of salary classifications—categorized as either surpassing $50,000 or falling at or below this threshold. Income disparities are a major concern, influenced by factors spanning personal demographics, educational backgrounds, and experiences.

Dataset

Model selection

Results

Conclusions and impacts

References

• Wage inequality in the United States - Statistics & Facts. https://www.statista.com/topics/3453/wage-inequality-in-the-united-states/#dossier-chapter4.
• Women in the Workforce: The Gender Pay Gap Is Greater for Certain Racial and Ethnic Groups and Varies by Education Level https://www.gao.gov/products/gao-23-106041
• The Enduring Grip of the Gender Pay Gap. Pew Research Center’s Social & Demographic Trends Project. https://www.pewresearch.org/social-trends/2023/03/01/the-enduring-grip-of-the-gender-pay-gap/