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princeuzukhanye-lang/South-African-Unemployment-Analysis

Domain:

socioeconomic
Creator:
pri
Host:
# # South African Unemployment Analysis ## πŸ“Š Overview This project explores unemployment trends in South Africa using **Stats SA Quarterly Labour Force Survey (QLFS)** data. It provides insights into both national and youth unemployment rates, highlighting key economic challenges. ## πŸ“‚ Repository Structure - `data/unemployment.csv` β†’ dataset - `notebooks/unemployment_analysis.ipynb` β†’ analysis notebook - `README.md` β†’ project documentation ## πŸ”‘ Key Insights - National unemployment rose from **31.4% (Q4 2025)** to **32.7% (Q1 2026)**. - Youth unemployment remains critically high at **60.2%**. - Labour force participation dropped to **59%**, the lowest since 2022. ## πŸ› οΈ Tools Used - Python (pandas, matplotlib, seaborn) - Jupyter Notebook for analysis - GitHub for version control and collaboration ## πŸš€ How to Use 1. Clone the repository:

Visit

github.com

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