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US Grain Transportation Costs to Japan
internal.agtransport.usda.gov | Last Updated 2024-05-06T17:36:08.000ZThe dataset contains quarterly and annual grain transportation costs and total landed costs for shipping corn, wheat, and soybeans from Minnesota, North Dakota, and Kansas from the U.S. Gulf and Pacific Northwest to Japan. The data specifically show rail, ocean, barge, and trucking rates for shipping grain to Japan. The total landed costs include transportation costs and farm values for each grain
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Global Container Vessel Fleet and Spot Rates
internal.agtransport.usda.gov | Last Updated 2024-02-08T17:03:12.000ZThis 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.
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Public Use Carload Waybill Sample
internal.agtransport.usda.gov | Last Updated 2024-06-17T18:06:00.000ZThe Surface Transportation Board's Carload Waybill Sample is perhaps the most comprehensive dataset available on railroad movements and trends. More technically, it is a stratified sample of carload waybills for all U.S. rail traffic submitted by those rail carriers terminating 4,500 or more revenue carloads annually. See 49 C.F.R. §§ 1244.1 to 1244.5. Waybill data have broad applications and usage in national railroad policy and regulations, such as rate cases, costing systems, productivity studies, exemption decisions, and analyses supporting regulations. Waybill data are used by transportation practitioners, consultants, and law firms in preparing verified statements to be submitted in formal proceedings before the Board or other public agencies. Various federal agencies use the Waybill Sample as part of their informational and decision-making framework, and many states use it as a source of information for developing state transportation plans. STB creates the Public Use Waybill file from the confidential Waybill Sample file. See the attached documents for more information. The "Reference Guide" document contains additional details on the variables and Standard Transportation Commodity Codes (STCC). In the "Creation of the Public Use Waybill Sample" document, STB provides more detail on the public use sample and how it is created. There is also a map of Bureau of Economic Analysis (BEA) Areas and a document describing the Waybill sampling instructions.
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Grain Basis
internal.agtransport.usda.gov | Last Updated 2024-06-20T16:32:24.000ZBasis reflects both local and global supply and demand forces. It is calculated as the difference between the local cash price and the futures price. It affects when and where many grain producers and shippers buy and sell grain. Many factors affect basis—such as local supplies, storage and transportation availability, and global demand—and they interact in complex ways. How changes in basis manifest in transportation is likewise complex and not always direct. For instance, an increase in current demand will drive cash prices up relative to future prices, and increase basis. At the same time, grain will enter the transportation system to fulfill that demand. However, grain supplies also affect basis, but will have the opposite effect on transportation. During harvest, the increase in the supply of grain pushes down cash prices relative to futures prices, and basis weakens, but the demand for transportation increases to move the supplies. For more information on how basis is linked to transportation, see the story, "Grain Prices, Basis, and Transportation" (https://agtransport.usda.gov/stories/s/sjmk-tkh6), and links below for research on the topic. This data has corn, soybean, and wheat basis for a variety of locations. These include origins—such as Iowa, Minnesota, Nebraska, and many others—and destinations, such as the Pacific Northwest, Louisiana Gulf, Texas Gulf, and Atlantic Coast. This is one of three companion datasets. The other two are grain prices (https://agtransport.usda.gov/d/g92w-8cn7) and grain price spreads (https://agtransport.usda.gov/d/an4w-mnp7). These datasets are separate, because the coverage lengths differ and missing values are removed (e.g., there needs to be a cash price and a futures price to have a basis price). The cash price comes from the grain prices dataset and the futures price comes from the appropriate futures market, which is Chicago Board of Trade (CME Group) for corn, soybeans, and soft red winter wheat; Kansas City Board of Trade (CME Group) for hard red winter wheat; and the Minneapolis Grain Exchange for hard red spring wheat.
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Panamax Bulk Fleet Size and Rates
internal.agtransport.usda.gov | Last Updated 2021-05-12T19:24:40.000ZThis data shows the Panamax vessel fleet size over time and ocean freight rates for shipping a metric ton of grain from the U.S. Gulf and Pacific Northwest to Japan.
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Export Sales
internal.agtransport.usda.gov | Last Updated 2024-06-13T16:08:17.000ZThis 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.
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Quarterly Refrigerated Truck Rates by Origin-Destination Pair
internal.agtransport.usda.gov | Last Updated 2024-06-20T15:49:54.000ZQuarterly average refrigerated truck rates ($/mile, $/truckload) from origin shipping areas to destination receiving city.
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Global Container Fleet and Spot Rates
internal.agtransport.usda.gov | Last Updated 2024-02-08T17:03:12.000ZThis dataset combines annual global container vessel fleet data from Drewry Shipping Insight and average annual ocean container freight rates for shipments from the Port of Los Angeles, CA to Shanghai, China, from the Drewry Container Freight Rate Insight.
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Waterborne Agricultural Trade by Commodity
internal.agtransport.usda.gov | Last Updated 2024-03-21T16:41:30.000ZGraphic displays the top 20 waterborne agricultural trade commodities divided by those moved in containers and in bulk vessels.
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Waterborne Containerized Agricultural Trade by Country
internal.agtransport.usda.gov | Last Updated 2024-03-21T16:41:30.000ZThis pie chart depicts either countries of origin or destination for U.S. containerized agricultural trade.