This data set contains data on State truck movements by tons and value for select commodities.

This dataset contains data on truck movements by tonnage, value and truck units for select commodities and corridors analyzed in USDA's, "The Importance of Highways to U.S Agriculture" report.

Bulk vessel size and capacity in million deadweight tonnages. This data contains bulk vessel fleet in numbers and deadweight tons capacity, per year and by type of vessels.

The data shows grain prices at select inland origin points and export destination ports and the price spread between them. More specifically, this dataset compares interior prices of corn in Illinois and Nebraska with the Gulf; Iowa and Gulf soybean prices; Kansas and Gulf hard red winter wheat; and North Dakota and Portland hard red spring wheat.

This dataset contains data on selected annual performance characteristics for the study corridors in the Importance of Highways to U.S. Agriculture Report. The dataset includes through lanes, annual average daily traffic (AADT), pavement condition, functional class of vehicles, National Highway System (NHS) designation, urban /rural designation, route number and corridor segment identification. The Volpe Center derived this study specific dataset from the Federal Highway Administration's (FHWA’s) Highway Performance Monitoring System (HPMS) data.

This dataset contains data on selected detailed performance characteristics for the study corridors in the Importance of Highways to U.S. Agriculture Report. This dataset contains data on original and post-calibration mileposts, Traffic Message Channel location codes (TMC), Truck Travel Time Reliability (TTTR) Index, Travel Time Index (TTI), TMC mileage, and corridor identification information. The Volpe Center derived this study specific dataset from the Federal Highway Administration's (FHWA's) National Performance Monitoring Research Data Set (NPMRDS) data.

This dataset contains data on bridge conditions and clearance for the study corridors in the Importance of Highways to U.S. Agriculture Report. The Volpe Center derived this study specific dataset from the Federal Highway Administration's (FHWA’s) National Bridge Inventory (NBI) data.

Weekly "cars on line" data from the Surface Transportation Board's (STB) Rail Service Metrics. The STB began collecting service metrics from railroads in October 2014. As part of their submission to the STB, railroads provide data on the average (daily) number of cars on line, broken out by car type such as "box," "covered hopper," "gondola," "intermodal," "multilevel (automotive)," "open hopper," "tank," and "other." According to the STB, "each railroad shall average its daily on-line inventory of freight cars. Articulated cars should be counted as a single unit. Cars on private tracks (e.g., at a customer’s facility) should be counted on the last railroad on which they were located. Maintenance-of-way cars and other cars in railroad service should be excluded."

This dataset combines annual global container vessel fleet data from Drewry Shipping Insight and average annual ocean container freight rates from the Port of Los Angeles, CA, to Shanghai, China, from the Drewry Container Freight Rate Insight.

Weekly actual and planned coal loadings from the Surface Transportation Board's (STB) Rail Service Metrics. Railroads provide the average daily count (per week) of unit train coal traffic from major coal producing regions. They have the option of providing this metric on a train- or carload basis. For example, BNSF reports the average daily loadings for the week of coal unit trains. CSX, on the other hand, reports on a carload basis. Data are broken out by coal production region.