The Commodity Flow Survey (CFS) is undertaken through a partnership between the U.S. Census Bureau, U.S. Department of Commerce, and the Research and Innovation Technology Administration, Bureau of Transportation Statistics (BTS), U.S. Department of Transportation. This survey produces data on the movement of goods in the United States. It provides information on commodities shipped, their value, weight, and mode of transportation, as well as the origin and destination of shipments of manufacturing, mining, wholesale, and select retail and services establishments. The data from the CFS are used by public policy analysts and for transportation planning and decision making to access the demand for transportation facilities and services, energy use, and safety risk and environmental concerns. This dataset provides data for the Hazardous Materials Series.

This is the CFS area file. It describes geographic movements of hazardous commodities and includes breakdowns by mode, NAICS, commodity, shipping distance, shipment weight. It includes estimates for tonnage, value, average mile per shipment (Geomiler estimate (2012 and 2017) or GCD (2022))

This is the CFS area file. It describes geographic movements of all commodities and includes breakdowns by mode, NAICS, commodity, shipping distance, shipment weight. It includes estimates for tonnage, value, average mile per shipment (Geomiler estimate (2012 and 2017) or GCD (2022))

This is the CFS export file. It describes geographic movements of all exported commodities and includes breakdowns by mode, NAICS, commodity, shipping distance, shipment weight. It includes estimates for tonnage, value, average mile per shipment (Geomiler estimate (2012 and 2017) or GCD (2022))

This dataset contains 2017 national Commercial RCRA-defined Hazardous Waste by North American Industry Classification System (NAICS) 2012 6-digit codes. This dataset was created in FLOWSA, a publicly available python package that generates standardized environmental flows by industry. This dataset is associated with the following publication: Ingwersen, W.W., M. Li, B. Young, J. Vendries, and C. Birney. USEEIO v2.0, The US Environmentally-Extended InputOutput Model v2.0. Scientific Data. Springer Nature Group, New York, NY, 194, (2022).

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