Python 3 examples of using economic data APIs and working with economic microdata. Includes bd CPS.
Last updated May 14, 2026
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econ_data
Tools for Working with Economic Data in Python
bd-econ.com
Updated: February 2026
Off-the-shelf examples of gathering, cleaning, and storing economic data with Python. Divided into three parts: 1) microdata (basic CPS, CPS-ASEC); 2) economic data APIs; and 3) the bd CPS extract.
Currently includes the following:
2) Economic Data Application Programming Interfaces (APIs)- International Monetary Fund (IMF)
- US Bureau of Labor Statistics (BLS)
- US Bureau of Economic Analysis (BEA)
- US Census Bureau - ACS
- US Census Bureau - Trade
- US Census Bureau - M3
- US Treasury
- Energy Information Administration (EIA)
- Federal Reserve Economic Data (FRED)
- European Central Bank (ECB)
- International Labour Organization (ILO)
- Organization for Economic Cooperation and Development (OECD)
- UN ComTrade
- World Bank
- SEC EDGAR
- bdCPSdd.ipynb
- bdCPSreader.ipynb
- additional notebooks, see link.
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