Sold by: Rearc
Deployed on AWS
This product contains historical time-series data of Board of Governors of the Federal Reserve System (US), Industrial Production: Manufacturing (NAICS) [IPMAN] retrieved from the Federal Reserve Bank of St. Louis Economic Data (FRED) at https://fred.stlouisfed.org/series/IPMAN. Data coverage starts from 1972-01-01. The value of the data is based on Index 2012=100 and it is seasonally adjusted. Data is offered in CSV format and the update frequency is monthly.
Overview
Industrial Production: Manufacturing (NAICS) (IPMAN) | FRED
The source code outlining how this product gathers, transforms, revises and publishes its datasets is available at https://github.com/rearc-data/fred-industrial-production-manufacturing-naics-ipman .
Main Overview
The dataset file included with this product is provided in CSV format. README files are also included to offer context on data fields used throughout the dataset files. The specific files included with each revisions may vary.
This dataset contains a historical time-series data of Board of Governors of the Federal Reserve System (US), Industrial Production: Manufacturing (NAICS) IPMAN starting from 1972-01-01. The value of the data is based on Index 2012=100 and it is seasonally adjusted.
Data Source
This dataset is provided by the Federal Reserve Bank of St. Louis Economic Data (FRED).
The included dataset contains the following columns:
date, IPMAN
The IPMAN column represents the industrial production index at the time of the corresponding date.
More Information
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Source:
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Dataset Page: Industrial Production: Manufacturing (NAICS) (IPMAN) | FRED
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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 ❤️.
- 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 dataset at no cost. There are no tiers, usage add-ons, or instance sizes to choose from. You subscribe once and gain access to the data product. The dataset covers industrial production for manufacturing, published for easy consumption. Because pricing is free, there is no scaling based on usage volume or quantity.
Top-of-mind questions for buyers
One unit of Product Access grants your subscription entry to the dataset. It is not a per-user or per-server count. A single subscription covers your access to the Industrial Production: Manufacturing (NAICS) data product at no cost.
No. This listing is free, so there is no usage-based metering. Pulling more records, querying more often, or feeding the data into more pipelines does not add charges. Access stays free regardless of how much you consume.
The dataset is published for subscribers to consume in a consistent fashion through the AWS platform. Once you subscribe, you can feed the data into your own data pipeline using cloud-native tools. The vendor manages the sourcing and processing.
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 |
|---|---|---|---|---|---|---|
Industrial Production: Manufacturing (NAICS) (IPMAN) | FRED | All historical revisions | All future revisions | Not included | Not included |
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