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This product contains a historical time-series data of the Gross Domestic Product (GDP) retrieved from the Federal Reserve Bank of St. Louis Economic Data (FRED) at https://fred.stlouisfed.org/series/GDP. Data coverage starts from 1947-01-01. The unit of data column is Billions of Dollars and the values are seasonally adjusted at an annual rate. The update frequency is quarterly.
Overview
Gross Domestic Product (GDP) | 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 .
Main Overview
The dataset file included with this product is provided in CSV format. The included dataset contains the following columns: DATE, GDP
This dataset contains a historical time-series data of the Gross Domestic Product of the US starting from 1947-01-01.
The values within the data field labeled GDP represent Gross Domestic Product in the US, which is the amount of good and services provided in Billions of Dollars at the time of the corresponding DATE field. Values are based on seasonally adjusted annual rate.
Data Source
This dataset is provided by the Federal Reserve Bank of St. Louis Economic Data (FRED).
More Information
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Source:
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Dataset Page: Gross Domestic Product (GDP) | FRED
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License: FRED Terms Of Use FAQ
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Frequency: Quarterly
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Format: CSV
Contact Details
- 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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Dimensions summary
This listing is free. You subscribe through a single dimension, Product Access (Units), which grants you access to the dataset. There are no tiers, usage add-ons, or size-based options to compare. The vendor publishes free, publicly available datasets so you can consume them in a consistent way without managing the data acquisition or processing yourself.
Top-of-mind questions for buyers
It grants you access to the Gross Domestic Product (GDP) dataset as a subscriber. Since this listing is free, subscribing does not add software charges. The vendor sources, transforms, and publishes the dataset so you can consume it in a consistent format without acquiring or processing it yourself.
No. This listing has a single access dimension and is free, so consumption does not trigger tiered or usage-based charges. There are no size-based options or overage points. Any underlying AWS storage or transfer costs for handling the data on your side would follow standard AWS billing, not this listing.
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Delivery details
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Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
Gross Domestic Product (GDP) | FRED | All historical revisions | All future revisions | Not included | Not included |
Resources
Vendor resources
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