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Eurostat, the statistical office of the European Union, offers a comprehensive database of statistical data covering various domains such as economy, population, employment, environment and social issues.
The `eurostat` Python library provides clean access to the Eurostat API with dataset discovery and automatic frequency handling. Engineers use `eurostat.get_data_df()` to retrieve indicator tables for multiple countries, with built-in SDMX format parsing.
Eurostat's harmonized European data enables AI systems that compare economic and social outcomes across EU member states. Build a RAG system indexed on Eurostat indicators so LLMs can answer 'Which EU country has the lowest youth unemployment rate?' with official, comparable statistics.
# pip install eurostat pandas
import eurostat, pandas as pd
# GDP growth rate for EU countries
df = eurostat.get_data_df("namq_10_gdp",
flags=False)
gdp = df[df["unit"] == "CLV_PCH_PRE"].set_index(["geo\\time"])
print(gdp.iloc[:5, -4:])Official dataset source
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