Source: U.S. Bureau of Transportation Statistics  

Release: Transportation Services Index and Seasonally-Adjusted Transportation Data  

Units:  Carloads, Seasonally Adjusted

Frequency:  Monthly

Monthly rail carloads and intermodals are estimated by dividing the weekly sum by 7 (7 days in a week) and then summing for the number of days in the month (31 days for May, 30 days for June, etc.).

This data is collected by the U.S. Department of Transportation, Bureau of Transportation Statistics (BTS) calculation from data collected by Association of American Railroads.

Source: U.S. Bureau of Transportation Statistics  

Release: Transportation Services Index and Seasonally-Adjusted Transportation Data  

Units:  Containers and Trailers, Not Seasonally Adjusted

Frequency:  Monthly

Monthly rail carloads and intermodals are estimated by dividing the weekly sum by 7 (7 days in a week) and then summing for the number of days in the month (31 days for May, 30 days for June, etc.).

This data is collected by the Association of American Railroads.

Source: University of Louisville. Logistics and Distribution Institute  

Source: Oklahoma State University  

Release: University of Louisville and Oklahoma State University: LoDI National Index  

Units:  Index, Not Seasonally Adjusted

Frequency:  Monthly

The index value ranges between 1 and 100. A value higher than 50 indicates healthy economic activity.

The LoDI Index uses linear regression analysis to combine cargo volume data from rail, barge, air, and truck transit, along with various economic factors. The resulting indicator is designed to predict upcoming changes in the level of logistics and distribution activity in the US and is represented by a value between 1 and 100. An index at or above 50 represents a healthy level of activity in the industry

The Greater Louisville and National LoDI Indices were developed by researchers at the University of Louisville. Please contact Dr. Heragu (sunderesh.heragu@okstate.edu), now IE&M Department Head at Oklahoma State University, or Dr. DePuy (depuy@louisville.edu) for additional information.