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thuwalabrian/findex-malawi-analysis

Domaine:

socioeconomic

Type de record:

project
Créateur:
thu
Hôte:
Predictive analytics for financial inclusion in Malawi using World Bank Global Findex 2024 data. # Financial Inclusion in Malawi: Global Findex 2024 Analysis **Author:** Brian Thuwala **Date:** 2025–2026 **Python:** 3.11+ | **Data:** World Bank Global Findex 2024 --- ## Overview This project analyzes financial inclusion in Malawi using the World Bank's **Global Findex 2024** nationally representative microdata (n ≈ 1,000 adults). Four Jupyter notebooks progress from data validation through descriptive statistics to survey-weighted logistic regression and evidence-based policy recommendations. ### Key Findings | Indicator | Value | |---|---| | Any account ownership | ~50% | | Mobile money only | ~35% | | Formal bank account | ~12% | | Gender gap (M − F, formal) | ~6 pp | | Income gap (Q5 − Q1) | ~37 pp | | Top barrier | Lack of money (~36%) | > Mobile money is Malawi's dominant inclusion channel. Traditional banking > reaches only 1 in 8 adults. --- ## Project Structure ``` findex-malawi-analysis/ ├── README.md ├── requirements.txt ├── DATA_DICTIONARY.md ├── data/ │ ├── raw/ │ │ ├── Findex_Microdata_2025_updateMalawi.csv │ │ └── codebook_microdata_2025.pdf │ └── processed/ ├── notebooks/ │ ├── 00_executive_summary.ipynb │ ├── 01_data_import_and_checks.ipynb │ ├── 02_descriptive_analysis.ipynb │ ├── 03_barriers_analysis.ipynb │ └── 04_from_barriers_to_policy.ipynb ├── dashboard/ ← ✨ NEW: Interactive web dashboard │ ├── app.py │ ├── utils.py │ ├── assets/ │ │ └── style.css │ └── README.md └── outputs/ ├── figures/ ← saved plots (PNG, 200 dpi) └── tables/ ← exported CSVs ``` ## Notebooks | # | Notebook | Purpose | |---|---|---| | 00 | Executive Summary | Policymaker-friendly overview of key findings and recommendations | | 01 | Data Import & Checks | Load raw CSV, validate structure, document variables | | 02 | Descriptive Analysis | Weighted national indicators, disaggregation by gender / residence / income / education | | 03 | Barriers Analysis | Mobile money barrier prevalence (fin14a–e), demographi …