This project analyzes urban living efficiency across selected MENA cities in 2025 by evaluating how effectively purchasing power offsets cost of living and rent.
The analysis provides a comparative, data-driven perspective to support insights into regional income-to-cost balance.
The core metric used in this project is:
Efficiency Score = Purchasing Power Index / (Cost of Living + Rent Index)
🔹 Higher score → stronger income-to-cost balance
🔹 Lower score → living expenses outweigh purchasing power
- Source: Numbeo (2025 snapshot)
- Region: MENA
- Cities Covered: 14
- Key Indices Used:
- Cost of Living Index
- Rent Index
- Cost of Living + Rent Index
- Groceries Index
- Restaurant Price Index
- Purchasing Power Index
- Data extraction and validation from Numbeo
- Computation of efficiency score per city
- City ranking based on efficiency
- Comparative cost structure analysis
- Visualization using an executive-level Power BI dashboard
- Jeddah ranks highest in living efficiency, driven by strong purchasing power combined with moderate living and rent costs.
- Gulf cities dominate top rankings, indicating a more favorable income-to-cost balance.
- Beirut records the lowest efficiency score, as purchasing power remains insufficient to offset living expenses.
- 🐍 Python (pandas, numpy)
- 📊 Power BI
- 📓 Jupyter Notebook
/notebooks→ data analysis and calculations/dashboard→ Power BI dashboard file/data→ data/images→ dashboard screenshots
This project is intended for comparative analytical insights, not absolute cost rankings, and reflects Numbeo data availability at the time of extraction.