dpb24/datakind-2025

📊 Data Analytics: Identifying Actionable Insights to Improve Financial Inclusion in Kenya # DataKind: Financial Inclusion & Economic Opportunity in Kenya 🇰🇪 **Libraries:** `matplotlib`, `seaborn`, `geopandas`, `pandas`, `numpy` **Dataset:** 2024 FinAccess Household Survey What are the key factors driving financial inclusion in Kenya today? To find out, I analysed data from 20,871 interviews from the 2024 FinAccess Household Survey. 🔎 **Key Insights:** * 🏦 Financial exclusion remains widespread in Kenya * Bank account ownership rates vary dramatically, from **92.5%** in Nairobi to just **44.1%** in West Pokot * Youth are especially underserved: only **16.7%** of 15–19 year olds have a bank account **A pathway to Inclusion:** * 📈 There is a **strong correlation** between mobile phone ownership and access to financial services * ⚡ A high-impact, scalable strategy: **expand** mobile access especially in rural areas and among young people 📖 Jupyter Notebook: GitHub | Kaggle | DataBricks