Personal Income (PI) | FRED

The source code outlining how this product gathers, transforms, revises and publishes its datasets is available at https://github.com/rearc-data/fred-data-products .

The dataset file included with this product is provided in CSV format. The included dataset contains the following columns: DATE, PI

This dataset contains a historical time-series data of the Personal Income (PI) | FRED starting from 1959-01-01.

The values within the data field labeled PI represent the personal income at the time of the corresponding DATE field. The unit of data column is Billions of Dollars and the values are based on seasonally adjusted annual rate. BEA account code for this dataset is A065RC.

Personal income is the income that persons receive in return for their provision of labor, land, and capital used in current production and the net current transfer payments that they receive from business and from government.25 Personal income is equal to national income minus corporate profits with inventory valuation and capital consumption adjustments, taxes on production and imports less subsidies, contributions for government social insurance, net interest and miscellaneous payments on assets, business current transfer payments (net), current surplus of government enterprises, and wage accruals less disbursements, plus personal income receipts on assets and personal current transfer receipts.

A Guide to the National Income and Product Accounts of the United States (NIPA) can be accessed here .

This dataset is provided by the U.S. Bureau of Economic Analysis  and published by the Federal Reserve Bank of St. Louis Economic Data .

• Source:

  • Federal Reserve Bank of St. Louis 
  • U.S. Bureau of Economic Analysis 
  • Personal Income and Outlays 

• Dataset Page: U.S. Bureau of Economic Analysis, Personal Income (PI) 

• License: FRED Terms Of Use FAQ 

• Frequency: Monthly

• Format: CSV

• If you find any issues with or have enhancement ideas for this product, open up a GitHub issue  and we will gladly take a look at it. Better yet, submit a pull request. Any contributions you make are greatly appreciated :heart:.
• If you are looking for specific open datasets currently not available on ADX, please submit a request on our project board here .
• If you have questions about the source data, please contact FRED .
• If you have any other questions or feedback, send us an email at data@rearc.io .

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