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.

Bar chart showing a query from the rail carloadings dataset to show the most recent week of data by railroad. It includes average weekly carloads based on the month to provide a sense of the seasonal expected level. It also includes a calculation of one standard deviation above and below that average to provide a sense of variation around the expected level.

Query from rail carloadings data set to show the most recent week of data. It also includes average weekly carloads based on the month to provide a sense of the seasonal expected level. Additionally, it includes a calculation of one standard deviation above and below that average to provide a sense of variation around the expected level.

This data set contains rail tariff rates by railroad, commodity (corn, soybeans, and wheat), and train type, for select origin/destination pairs. These data are collected monthly from individual railroad websites.

Weekly terminal dwell time 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 average terminal dwell time, measured in hours, excluding cars on runthrough trains (i.e., cars that arrive at, and depart from, a terminal on the same through train) for the carrier’s system and its 10 largest terminals in terms of railcars processed. (Terminal dwell is the average time a car resides at a specified terminal location expressed in hours.)

This dataset contains the annual volumes of major commodities transported by barge, measured in tons. The data is from the U.S. Army Corps of Engineers' Waterborne Commerce Statistics.

See and interact with the latest grain export data.

This data includes historical volumes of U.S. grains inspected for export from major U.S. port regions and countries of destination. Information Contained In This Data Reflects Exported Grain Inspected And Weighed Through The Authority Under The U.S. Grain Standards Act.

This data is reported by USDA's Foreign Agricultural Service (FAS). USDA's Export Sales Reporting Program monitors U.S. agricultural export sales on a daily and weekly basis. Export sales reporting provides a constant stream of up-to-date market information for 40 U.S. agricultural commodities sold abroad. A single statistic reveals the significance of the program: in a typical year, the program monitors more than 40 percent of total U.S. agricultural exports. The program also serves as an early alert on the possible impact foreign sales have on U.S. supplies and prices. The weekly U.S. Export Sales report is the most current available source of U.S. export sales data. The data is used to analyze the overall level of export demand, determine where markets exist, and assess the relative position of U.S. commodities in foreign markets.

The date field in export sales is weekly, based on the calendar year. However, the dataset also keeps track of marketing year export sales. Be cautious when aggregating the export sales data over the date variable to properly account for these factors.

The turn of the marketing year often falls on a different day of the week then the weekly calendar year reporting. In this case, FAS adds an additional row (two total) to the dataset for that calendar week. One row represents that week's values which fell in the previous marketing year, while the other row captures that week's values which fell in the new marketing year. The "Marketing Year Start or End" variable labels these rows as "ENDING MY" and "STARTING MY", respectively, and is otherwise empty.

This creates a double counting issue when aggregating some of the variables by calendar week. See our view, https://agtransport.usda.gov/d/885i-uek7, for an example of avoiding double counting to show total outstanding sales over time.

Line chart showing average monthly Gulf and PNW vessel rates to Japan.