Sold by: Rearc
Deployed on AWS
This product contains a historical time-series data of the U.S. Bureau of Economic Analysis, Personal Consumption Expenditures (PCE) retrieved from the Federal Reserve Bank of St. Louis Economic Data (FRED) at https://fred.stlouisfed.org/series/PCE. 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.
Overview
Personal Consumption Expenditures (PCE) | 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, PCE
This dataset contains a historical time-series data of the Personal Consumption Expenditures (PCE) starting from 1959-01-01.
The values within the data field labeled PCE represent the personal expenditure 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 DPCERC.
A Guide to the National Income and Product Accounts of the United States (NIPA) can be accessed here .
Data Source
This dataset is provided by the U.S. Bureau of Economic Analysis and published by the Federal Reserve Bank of St. Louis Economic Data .
More Information
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Source:
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Dataset Page: U.S. Bureau of Economic Analysis, Personal Consumption Expenditures (PCE)
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License: FRED Terms Of Use FAQ
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Frequency: Monthly
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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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Pricing
This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
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Dimensions summary
This listing uses a single pricing dimension: Product Access (Units). It grants you access to the Personal Consumption Expenditures (PCE) dataset at no cost. There are no tiers, instance sizes, or usage add-ons to choose from. The vendor sources this publicly available dataset and publishes it in a consistent format for you to consume. Because it is free, there is no scaling logic or quantity-based charge tied to your usage.
Top-of-mind questions for buyers
It grants access to the Personal Consumption Expenditures (PCE) dataset. You subscribe once and consume the data at no cost. There are no per-record, per-query, or per-user charges. The single unit simply covers your entitlement to receive the published dataset.
No. Because this listing is free, there is no usage meter, threshold, or tier boundary that can raise your cost. Consuming more records or querying more often does not add charges. The Product Access entitlement stays free regardless of how much you use.
The vendor sources this publicly available dataset and publishes it in a consistent format for you to consume. They own the update life cycle, so you avoid the work of acquiring and transforming the raw data yourself. Underlying AWS service charges for your own environment are separate.
www.rearc.io
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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 |
|---|---|---|---|---|---|---|
Personal Consumption Expenditures (PCE) | FRED | All historical revisions | All future revisions | Not included | Not included |
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