Sold by: Rearc
Deployed on AWS
This release contains information on real disposable personal income, which means money that households are able to spend after all taxes have been paid. It is measured in billions of dollars and is chained to 2012, which means that the data adjusts for inflation over time using 2012 as the base year.
Overview
The source code outlining how this product gathers, transforms, revises and publishes its datasets is available at https://github.com/rearc-data/fred-real-disposable-personal-income .
Main Overview
This release contains information on real disposable personal income, which means money that households are able to spend after all taxes have been paid. It is measured in billions of dollars and is chained to 2012, which means that the data adjusts for inflation over time using 2012 as the base year.
The included data is provided by the Federal Reserve Bank of St. Louis' FRED (Federal Reserve Economic Data) platform, which contains information on over 700,000+ series related to historical economic data. If you are interested in learning more or want to explore other datasets maintained on FRED, visit the FRED homepage .
Data Source
This resource is presented in both the XLS and CSV formats. The included dataset contains the following columns:
DATE, DSPIC96
The DSPIC96 column represents billions of chained 2012 dollars at the time of the corresponding DATE.
More Information
- Source: Federal Reserve Economic Data (FRED)
- FRED | Federal Reserve Bank of St. Louis
- Federal Reserve Bank of St. Louis | Homepage
- Terms of Use FAQ
- Frequency: Monthly
- Formats: XLS, 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 ❤️.
- 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. It has one dimension, Product Access (Units), which grants subscribers access to the dataset. There are no tiers, usage add-ons, or instance sizes to choose from. You subscribe once to gain access, with no charges tied to volume or usage. The vendor publishes publicly available datasets so you can consume them in a consistent way through AWS Data Exchange.
Top-of-mind questions for buyers
One unit grants subscriber access to this dataset through AWS Data Exchange. You subscribe once to consume the data. There is no per-record, per-query, or per-user metering. The single unit simply enables access to the published dataset in a consistent format.
No. This listing is free and carries one access dimension. Charges do not scale with data volume, query count, or number of users. Once you subscribe, you consume the dataset without additional metered fees from the listing.
The listing itself is free and covers dataset access through AWS Data Exchange. Any data infrastructure, pipelines, or tooling you build to consume the data sits outside this listing. Underlying AWS service usage may apply separately. Contact the vendor for custom infrastructure support.
www.rearc.io
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Refunds Not Applicable
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Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
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 |
|---|---|---|---|---|---|---|
Real Disposable Personal Income | FRED | All historical revisions | All future revisions | Not included | Not included |
Resources
Vendor resources
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