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The United Nations Development Programme publishes datasets on the Human Development Index, poverty rates, gender equality, and Sustainable Development Goal progress across 190+ countries. Used in data engineering for global development analytics, SDG monitoring pipelines, and country comparison dashboards in Python.
UNDP's Human Development Reports data is downloadable as CSV from hdr.undp.org. Engineers load the multi-year indicator tables with `pandas.read_csv()`, pivot to long format for time-series analysis, and join with ISO country codes for geospatial visualization.
UNDP data builds authoritative AI knowledge bases for global development analysis. Index HDI and poverty statistics for a RAG system that answers 'Which countries improved their HDI the most in the last decade?' with official UN development data, supporting AI-powered policy research.
# pip install requests pandas
import requests, pandas as pd
# Download Human Development Index data
url = "https://hdr.undp.org/sites/default/files/2023-24_HDR/HDR23-24_Statistical_Annex_HDI_Table.xlsx"
df = pd.read_excel(url, skiprows=4, engine="openpyxl",
usecols=["Country", "2022"])
df.columns = ["country", "hdi_2022"]
df = df.dropna(subset=["hdi_2022"])
print(df.nlargest(10, "hdi_2022"))Official dataset source
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