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.

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Currently includes the following:

1) Microdata examples

• Basic Monthly CPS
• CPS ASEC
• ACS

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

3) bd CPS (a tool for creating harmonized partial extracts from Current Population Survey public use microdata)

• bd_CPS_dd.ipynb
• bd_CPS_reader.ipynb
• additional notebooks, see link.

If you have a question or find an error, please e-mail me at brian.w.dew@gmail.com.