Sold by: Rearc
Deployed on AWS
This release contains information on consumer price index for all urban consumers. This data is a measure of the average monthly change for the prices of goods and services paid by urban consumers. Roughly, this index accounts for 88% of the United States population and collects pricing data monthly from about 4,000 housing units and 26,000 retail stores from 87 urban areas.
Overview
The source code outlining how this product gathers, transforms, revises and publishes its datasets is available at https://github.com/rearc-data/fred-consumer-price-index .
Main Overview
This release contains information on consumer price index for all urban consumers. This data is a measure of the average monthly change for the prices of goods and services paid by urban consumers. Roughly, this index accounts for 88% of the United States population and collects pricing data monthly from about 4,000 housing units and 26,000 retail stores from 87 urban areas.
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, CPIAUCSL
The CPIAUCSL column represents the consumer price index in the U.S. 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 uses a single pricing dimension, Product Access (Units), which grants you access to the dataset. There are no tiers, usage add-ons, or instance sizes to choose between. The product is free, so the one dimension covers all access without variable charges. You subscribe once and consume the data through AWS Data Exchange in a consistent format.
Top-of-mind questions for buyers
It grants you subscription access to this Consumer Price Index dataset. You consume the data through AWS Data Exchange in a consistent format. There are no seats, hosts, or instance sizes to count. One subscription covers your access to the dataset.
No. This product is free, so there are no usage-based charges. The single Product Access dimension does not meter downloads, queries, or data volume. Your access stays the same whether you consume the dataset once or repeatedly. No overage or tier boundary applies.
You consume the data through AWS Data Exchange. The vendor sources it from publicly available data and publishes it in a consistent format. This removes the work of acquiring and transforming the data yourself, so you can focus on analysis.
www.rearc.io
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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 |
|---|---|---|---|---|---|---|
Consumer Price Index for All Urban Consumers: Items City Average | FRED | All historical revisions | All future revisions | Not included | Not included |
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