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The Global Findex Database offers datasets on financial inclusion indicators, access to banking, usage of financial services, savings behavior and mobile money adoption worldwide.
Global Findex data is downloadable as Excel/CSV from the World Bank microdata library. Engineers use `pandas.read_excel()` to load the indicator tables, then merge with World Bank country metadata using ISO codes for regional analysis of financial inclusion gaps.
Global Findex data enables AI tools for financial inclusion analysis and fintech market sizing. Build RAG systems indexed on Findex country profiles so LLMs can answer 'What percentage of adults in Sub-Saharan Africa have a bank account?' AI models trained on Findex data predict unbanked population segments.
# pip install pandas openpyxl
import pandas as pd
# Download Global Findex microdata from World Bank
# https://microdata.worldbank.org/index.php/catalog/4607
df = pd.read_excel("micro_world_139countries.xlsx", engine="openpyxl", nrows=10000)
# Account ownership by income group
ownership = df.groupby("economy")["account"].mean().sort_values(ascending=False)
print(ownership.head(10))Official dataset source
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