# # South African Unemployment Analysis
## π 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.
## π Repository Structure
- `data/unemployment.csv` β dataset
- `notebooks/unemployment_analysis.ipynb` β analysis notebook
- `README.md` β project documentation
## π 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.
## π οΈ Tools Used
- Python (pandas, matplotlib, seaborn)
- Jupyter Notebook for analysis
- GitHub for version control and collaboration
## π How to Use
1. Clone the repository: