Wage Gap Analysis USA

This repository explores wage disparities between Black and White workers in the United States through data analysis and visualization techniques. The project aims to uncover trends, identify inequality patterns, and provide actionable insights using historical wage data.

📊 Project Overview

• Objective: Analyze and visualize the wage gap between Black and White individuals in the U.S. labor force, including gender-based trends.
• Approach: Exploratory Data Analysis (EDA), statistical testing (t-tests), and visual storytelling using Python.
• Tools Used:
  • Python
  • Pandas
  • Seaborn
  • Matplotlib
  • NumPy
  • SciPy

📁 Files Included

File Name	Description
1_familliarization.ipynb	Initial dataset familiarization
2_eda.ipynb	Exploratory data analysis
black_white_wage_gap.csv	Wage data used for analysis
Black - White Wage Gap in USA EDA.py	Full Python script with visualizations
black_white.docx	Summary of findings and recommendations

📈 Key Insights

• Wage Gap: The wage gap has persisted over time, with significant differences observed between Black and White workers.
• Gender Dynamics: Wage disparities exist both within and across gender lines.
• Statistical Tests: t-tests indicate statistically significant wage differences across subgroups.

✅ Recommendations

• Advocate for equal pay and fair labor practices.
• Conduct deeper industry-wise and intersectional analysis.
• Promote continuous monitoring and policy-based interventions.

🔍 Sample Visualization

A sample chart showcasing wage comparison trends over the years.

A sample chart showcasing wage difference trends over the years.

📌 How to Run

1. Clone the repo:

   git clone https://github.com/yourusername/wage-gap-analysis-usa.git

2. Install dependencies:

   pip install -r requirements.txt

3. Open the notebooks or run the .py script in your IDE or Jupyter.

🏷️ Keywords

wage gap, racial inequality, black white wage gap, data analysis, Python, visualization, t-test, income disparity, USA labor market, gender wage gap

---

📄 License

This project is open-source and available under the MIT License.