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Danielmituku/ethiopia-financial-inclusion-forecast

Domain:

socioeconomic

Record type:

project
Creator:
Dan
Host:
πŸ‡ͺπŸ‡Ή Ethiopia Financial Inclusion Forecasting System - Time series analysis and forecasting for Access & Usage indicators (2025-2027). Built with Python, Streamlit, and WeasyPrint for PDF reports. # Ethiopia Financial Inclusion Forecasting System πŸ‡ͺπŸ‡Ή A forecasting system that tracks Ethiopia's digital financial transformation using time series methods, developed for the 10Academy Week 10 Challenge. ## 🎯 Project Objectives Build a forecasting system that predicts Ethiopia's progress on two core dimensions of financial inclusion: 1. **Access** β€” Account Ownership Rate (% of adults with financial account or mobile money) 2. **Usage** β€” Digital Payment Adoption Rate (% of adults making/receiving digital payments) ### Key Questions - What drives financial inclusion in Ethiopia? - How do events like product launches, policy changes, and infrastructure investments affect inclusion outcomes? - How will financial inclusion rates evolve in 2025-2027? ## πŸ“Š Ethiopia's Financial Inclusion Context | Year | Account Ownership | Change | |------|------------------|--------| | 2011 | 14% | β€” | | 2014 | 22% | +8pp | | 2017 | 35% | +13pp | | 2021 | 46% | +11pp | | 2024 | 49% | +3pp | ### Key 2024 Indicators - Mobile money account ownership: 9.45% - Digital payment adoption: ~35% - Account for wage receipt: ~15% ## πŸ—οΈ Project Structure ``` ethiopia-fi-forecast/ β”œβ”€β”€ .github/workflows/ β”‚ └── unittests.yml # CI/CD pipeline β”œβ”€β”€ data/ β”‚ β”œβ”€β”€ raw/ # Starter dataset β”‚ β”‚ β”œβ”€β”€ ethiopia_fi_unified_data.csv β”‚ β”‚ └── reference_codes.csv β”‚ └── processed/ # Analysis-ready data β”‚ β”œβ”€β”€ ethiopia_fi_enriched.csv β”‚ β”œβ”€β”€ event_indicator_matrix.csv β”‚ └── forecast_results.csv β”œβ”€β”€ notebooks/ # Jupyter notebooks for analysis β”‚ β”œβ”€β”€ 01_data_exploration.ipynb β”‚ β”œβ”€β”€ 02_eda.ipynb β”‚ β”œβ”€β”€ 03_impact_modeling.ipynb β”‚ └── 04_forecasting.ipynb β”œβ”€β”€ src/ # Source code modules β”‚ β”œβ”€β”€ data_loader.py β”‚ β”œβ”€β”€ visualization.py β”‚ β”œβ”€β”€ forecasting.py β”‚ └── generate_report.py # PDF report generator β”œβ”€β”€ scripts/ β”‚ └── run_analysis.py # Full pipeline runner β”œβ”€β”€ …