Sold by: Rearc
Deployed on AWS
This release contains information on indexes of aggregate weekly hours for employees. The indexes are calculated by dividing the current month's aggregate hours by the average of the 12 monthly figures.
Overview
The source code outlining how this product gathers, transforms, revises and publishes its datasets is available at https://github.com/rearc-data/fred-weekly-hours-employees .
Main Overview
This release contains information on indexes of aggregate weekly hours for employees. The indexes are calculated by dividing the current month's aggregate hours by the average of the 12 monthly figures.
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, AWHAE
The AWHAE column represents the percentage of the leading index 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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Pricing
This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
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. The vendor publishes free, publicly available datasets on AWS Data Exchange so you can consume them in a consistent format. Because access is free, your cost does not scale with usage or data volume. You subscribe once to unlock access to the dataset.
Top-of-mind questions for buyers
It grants you access to subscribe to and consume this dataset on AWS Data Exchange. There is one access dimension and no cost attached. You unlock the dataset once and receive it in a consistent, ready-to-use format for your data pipeline.
No. Access is free, so your cost stays the same regardless of data volume or how often you consume it. There are no usage meters, overage charges, or tier thresholds. Nothing in the pricing structure triggers a cost change.
No separate charges apply for the data. The vendor sources free, publicly available datasets and publishes them on AWS Data Exchange for subscribers. The single access dimension covers your ability to consume the dataset at no cost.
www.rearc.io
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Vendor refund policy
Refunds Not Applicable
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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 |
|---|---|---|---|---|---|---|
Indexes of Aggregate Weekly Hours of All Employees, Total Private | FRED | All historical revisions | All future revisions | Not included | Not included |
Resources
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