This release contains information on M1, which involves funds that are accessible for spending. To calculate seasonally adjustable M1, you sum up currency, traveler's checks, demand deposits, and OCDS, with each seasonally adjusted separately.
This release contains information on M1, which involves funds that are accessible for spending. To calculate seasonally adjustable M1, you sum up currency, traveler's checks, demand deposits, and OCDS, with each seasonally adjusted separately.
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, M1
The M1 column represents billions of dollars of M1 at the time of the corresponding date.
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 .
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 offers one pricing dimension: Product Access (Units). It grants you access to the M1 Money Stock dataset at no cost. There are no tiers, usage-based charges, or add-on options to choose from. The single dimension covers full access for subscribers. Because the product is free, the pricing structure does not scale with usage, quantity, or term. You subscribe once and consume the published dataset.
Top-of-mind questions for buyers
What does the Product Access (Units) dimension actually give me?
It grants you subscriber access to the M1 Money Stock dataset. The vendor sources the data, transforms it, and publishes it for consistent consumption. You receive the published dataset without managing the acquisition or processing work yourself.
Will my cost change as I use more of the dataset or add users?
No. The single Product Access dimension is free and carries no usage-based charges. Cost does not scale with the amount of data you consume, the number of queries you run, or how many people access it. Nothing in the pricing structure triggers a charge.
How is the dataset kept current after I subscribe?
The vendor owns the life cycle for the published dataset. They source it from the original public data provider, transform it, and republish it so subscribers consume it in a consistent form. You focus on analysis rather than acquiring or updating the underlying data.
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This release contains information on M2, which consists of M1, savings deposits, small-denomination time deposits, and balances in retail money market mutual funds. Since this is seasonally adjusted, M2 is computed by summing the latter three factors up, which are seasonally adjusted individually, which will then be added to a seasonally adjusted M1. M2 is held mainly by households.
This product contains a historical time-series data of the Velocity of M2 Money Stock (M2V) retrieved from the Federal Reserve Bank of St. Louis Economic Data (FRED) at https://fred.stlouisfed.org/series/M2V. Data coverage starts from 1959-01-01. The unit of data column is Ratio and the values are seasonally adjusted. The update frequency is quarterly.
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