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.
π Key Insights:
- π¦ 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 15β19 year olds have a bank account
A pathway to Inclusion:
- π There is a strong correlation between mobile phone ownership and access to financial services
- β‘ A high-impact, scalable strategy: expand mobile access especially in rural areas and among young people
π Jupyter Notebook: GitHub | Kaggle | DataBricks