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Total Transportation Costs versus Total Grain Shipments through the Water Route
internal.agtransport.usda.gov | Last Updated 2022-07-14T15:55:07.000ZThe graph shows average transportation costs and total grain shipments through the water route per year
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Annual U.S Rail Carloads of Ethanol
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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U.S. vs Brazil Soybean Transportation Costs
internal.agtransport.usda.gov | Last Updated 2024-04-11T14:05:50.000ZThe data shows the transportation cost of shipping soybeans from select U.S. and Brazil origins to China
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Mexico Transportation Costs
internal.agtransport.usda.gov | Last Updated 2022-07-14T15:55:07.000ZThis data contains the costs of transporting grain to Mexico by truck, barge or rail, and ocean vessels to Mexico by water route, and by truck and rail by the land route. It includes the total transportation and landed costs.
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Importance of Highways to U.S. Agriculture Report - Origin to Destination Detailed Performance Data
internal.agtransport.usda.gov | Last Updated 2021-08-02T14:58:05.000ZThis 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.
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VOLPE National Performance Monitoring Research Data Set (NPMRDS) - Destination to Origin
internal.agtransport.usda.gov | Last Updated 2021-06-08T21:14:23.000ZThis dataset contains data on original and post-calibration mileposts, Traffic Message Channel location codes (TMC), Truck Travel Time Reliability Index, Travel Time Index (TTI), TMC mileage, and corridor identification segment for the destination to origin direction of the National Performance Monitoring Research Data Set (NPMRDS) network.
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Transportation and Landed Costs of Brazilian Soybeans to China and Germany
internal.agtransport.usda.gov | Last Updated 2024-05-13T14:46:10.000ZThis dataset contains transportation and landed costs of Brazilian soybeans to Shanghai, China and Hamburg, Germany. Transportation costs are broken out by mode and vary by route. The data also contains Brazil farm values to compute total landed costs.
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Seasonality in Agricultural Rail Carloads
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 has broad application in, among other things, rate cases, the development of costing systems, productivity studies, exemption decisions, and analyses supporting regulations. Waybill data are also 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 information base, 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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Mexico Route Transportation Costs Versus Exports
internal.agtransport.usda.gov | Last Updated 2022-07-14T15:55:07.000Z - API
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.