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Truck Tonnage | FRED - logo

Truck Tonnage | FRED

This release contains information on the truck tonnage index. The truck tonnage index is a way to measure the gross tonnage of freight which is carried by motor carriers monthly in the United States. It is an important data point as around seventy percent of motor carriers are trucks.

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About

The source code outlining how this product gathers, transforms, revises and publishes its datasets is available at [https://github.com/rearc-data/fred-truck-tonnage](https://github.com/rearc-data/fred-truck-tonnage).

## Main Overview

This release contains information on the truck tonnage index. The truck tonnage index is a way to measure the gross tonnage of freight which is carried by motor carriers monthly in the United States. It is an important data point as around seventy percent of motor carriers are trucks.

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](https://fred.stlouisfed.org/).

#### Data Source

This resource is presented in both the XLS and CSV formats. The included dataset contains the following columns:

`DATE, TRUCKD11`

The `TRUCKD11` column represents the truck tonnage index at the time of the corresponding `DATE`.

## More Information

- Source: [Federal Reserve Economic Data (FRED)](https://fred.stlouisfed.org/series/TRUCKD11)

- [FRED | Federal Reserve Bank of St. Louis](https://fred.stlouisfed.org/)

- [Federal Reserve Bank of St. Louis | Homepage](https://www.stlouisfed.org/)

- [Terms of Use FAQ](https://fred.stlouisfed.org/legal/)

- 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](https://github.com/rearc-data/fred-truck-tonnage/issues) 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](https://github.com/rearc-data/covid-datasets-aws-data-exchange/projects/1).

- If you have questions about the source data, please contact [FRED](https://fred.stlouisfed.org/contactus/).

- 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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