This product contains a historical time-series data of the U.S. Bureau of Economic Analysis, Personal Income (PI) retrieved from the Federal Reserve Bank of St. Louis Economic Data (FRED) at https://fred.stlouisfed.org/series/PI. Data coverage starts from 1959-01-01. The unit of data column is Billions of Dollars and the values are based on seasonally adjusted annual rate. The update frequency is monthly.
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.
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.
About Rearc
Rearc is a cloud, software and services company. We believe that empowering engineers drives innovation. Cloud-native architectures, modern software and data practices, and the ability to safely experiment can enable engineers to realize their full potential. We have partnered with several enterprises and startups to help them achieve agility. Our approach is simple — empower engineers with the best tools possible to make an impact within their industry.
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This listing uses a single pricing dimension, Product Access (Units), which grants you access to the Personal Income (PI) dataset. The product is free, so there are no tiers, usage add-ons, or instance sizes to choose from. You subscribe once to receive access. The dataset is published so you can consume it through AWS Data Exchange in a consistent format, without added billing based on usage or volume.
Top-of-mind questions for buyers
What does one unit of Product Access grant me?
One unit grants your subscription access to the Personal Income (PI) dataset. It is not tied to a server, user seat, or data volume. You subscribe once, and access covers consuming the dataset through AWS Data Exchange in a consistent format.
Will my cost change as I query or download more data from this dataset?
No. The product is free and uses a single access dimension. There are no usage-based charges, tiers, or volume thresholds. Downloading or querying more data does not add software fees. You may still incur standard AWS charges for the services you use to store or process the data.
How is this dataset delivered to me after I subscribe?
The vendor publishes the dataset on AWS Data Exchange. After subscribing, you consume it there in a consistent format. This removes the work of acquiring and transforming the source data yourself, so you can feed it directly into your own data pipeline or analysis tools.
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This product contains a historical time-series data of U.S. Bureau of Economic Analysis, Real Personal Income (RPI) retrieved from the Federal Reserve Bank of St. Louis Economic Data (FRED) at https://fred.stlouisfed.org/series/RPI. Data coverage starts from 1959-01-01. The unit of the data column is Billions of Chained 2012 Dollars and the values are based on seasonally adjusted annual rate. The update frequency is monthly.