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.

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 Exports Series.

description: The Commodity Flow Survey provides information on commodities shipped, their value, weight, and mode of transportation, as well as the origin and destination of shipments of commodities from manufacturing, mining, wholesale, and selected retail and services establishments. It is undertaken through a partnership between the Bureau of the Census, U.S. Department of Commerce, and the Bureau of Transportation Statistics, Research and Innovative Technology Administration.; abstract: The Commodity Flow Survey provides information on commodities shipped, their value, weight, and mode of transportation, as well as the origin and destination of shipments of commodities from manufacturing, mining, wholesale, and selected retail and services establishments. It is undertaken through a partnership between the Bureau of the Census, U.S. Department of Commerce, and the Bureau of Transportation Statistics, Research and Innovative Technology Administration.

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 Temperature Series.

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 Exports Series.

Key Table Information.Table Title.Exports Series: Shipment Characteristics by Export Mode by Domestic Mode Share: 2022.Table ID.CFSEXPORT2022.CF2200E8.Survey/Program.Economic Surveys.Year.2022.Dataset.ECNSVY Commodity Flow Survey Commodity Flow Survey - Export.Source.U.S. Census Bureau, 2022 Economic Surveys, Commodity Flow Survey.Release Date.2025-06-26.Release Schedule.The CFS collects data every five years, for years ending in 2 and 7.The data in this file was released in June 2025..Dataset Universe.The dataset universe consists of all in-scope export shipments originating from establishments in operation for at least some part of 2022, located in one of the 50 U.S. states or the District of Columbia, having paid employees, and classified in selected NAICS industries.For more information on shipments that are in-scope, see Commodity Flow Survey Questionnaires..Sponsor.Bureau of Transportation Statistics, U.S. Department of Transportation.Methodology.Data Items and Other Identifying Records.Value ($ million)Weight (thousand tons)Coefficient of variation for all above data itemsEstimates on this table are given by export mode, and domestic mode of shipment.Definitions can be found by clicking on the column header in the table or by accessing the Commodity Flow Survey Methodology..Unit(s) of Observation.The reporting units for the CFS are establishments. An establishment is generally a single physical location where business is conducted or where services or industrial operations are performed..Geography Coverage.The data are shown for the U.S. only.For information about CFS geographies, see Commodity Flow Survey Geographies..Sampling.The CFS selects a sample using a three-stage design. The first stage selects a sample of about 165 thousand establishments stratified by industry and geography, the second stage randomly assigns a reporting week in each quarter for the establishments to report shipments, and the third stage is a systematic sample of shipments in the selected weeks.For more information about the sample design, see the Commodity Flow Survey Methodology..Confidentiality.The Census Bureau has reviewed the published CFS tables to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. 7504831, Disclosure Review Board [DRB] Approval Number: CBDRB-FY25-0142).The primary method of disclosure avoidance is noise infusion. Under this method, the tabulation weight for each shipment is perturbed prior to tabulation by applying a random noise multiplier. More information on disclosure avoidance is available in the Commodity Flow Survey Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, see Commodity Flow Survey Methodology.For more information about survey questionnaires, CFS Area definitions, and commodity code definitions, see 2022 CFS Technical Documentation..Weights.Each shipment is assigned a single tabulation weight used when tabulating quantitative values. The tabulation weight is the product of multiple component weights, including weights to reflect the probability of selection in each stage of sampling, weights to represent quarter and establishment non-response, weights to post-stratify to 2022 Economic Census data, and a weight to represent the noise infusion used for disclosure avoidance.For more information about tabulation weights, see Commodity Flow Survey Methodology..Table Information.FTP Download.https://www2.census.gov/programs-surveys/cfs/data/2022/.API Information.Commodity Flow Survey (CFS) data are housed in the Census Bureau Application Programming Interface (API)..Symbols.S - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page.Z - Rounds to zeroX - Not applicableN - Not available or not comparableFor a complete list of symbols, see Economic Census Data Dictionary..Data-Specific Notes.Cell notes:n: Truck as a single mode in 2022 includes the new mode of customer pick-up (CPU), as well as for-hire truck and company-owned truck. In 2017, truck as a single mode included only shipments that were made by for-hire truck or company-owned truck.o: Customer pick-up represents a shipment reported as picked up by the customer. Customer pick-up is a new mode for the 2022 CFS. Estimates did not exist for the 2017 CFS and before. See methodology for more information.x: Other mode (single and multimode) represents a shipment with a valid transportation mode other than the most common designations. See methodology for more information on other modes.z: Unknown mode represents a shipment re...

Release Date: 2020-07-16.Release Schedule:.The data in this file was released in July 2020...Source:.Suggested Citation: U.S. Department of Transportation, Bureau of Transportation Statistics; and, U.S. Department of Commerce, U.S. Census Bureau. (2020-07-16). Hazardous Materials Series: HazMat Shipment Characteristics by NAICS by Mode for the United States: 2017 [dataset]. 2017 Commodity Flow Survey. Accessed [enter date you accessed/downloaded this table here] from https://data.census.gov/cedsci/table?q=cf1700h16&hidePreview=true&tid=CFSHAZMAT2017.CF1700H16...Key Table Information:.The estimates presented are based on data from the 2017 Commodity Flow Survey (CFS) and supersede data previously released in the 2017 CFS Preliminary Report. These estimates only cover businesses with paid employees. All dollar values are expressed in current dollars, i.e., they are based on price levels in effect at the time of the sample. Estimates may not be additive due to rounding...Due to definitional and processing changes made each survey year, any data comparisons between one CFS survey and another should be made with caution. See the Comparability of Estimates section of the Survey Methodology for more details...Data Items and Other Identifying Records:.This file contains data on:.Value ($ Millions). Tons (Thousands). Ton-miles (Millions). Average miles per shipment (Number). Coefficient of variation or standard error for all above data items...Geography Coverage:.The data are shown at the U.S. only. For information on Commodity Flow Survey geographies, including changes for 2017, see Census Geographies...Industry Coverage:. . . NAICS Code . Description . . . 212 . Mining (Except Oil and Gas). . . 311 . Food Manufacturing. . . 312. Beverage and Tobacco Product Manufacturing. . . 313. Textile Mills. . . 314. Textile Product Mills. . . 315. Apparel Manufacturing. . . 316. Leather and Allied Product Manufacturing. . . 321. Wood Product Manufacturing. . . 322. Paper Manufacturing. . . 323. Printing and Related Support Activities. . . 324. Petroleum and Coal Products Manufacturing. . . 325. Chemical Manufacturing. . . 326. Plastics and Rubber Products Manufacturing. . . 327. Nonmetallic Mineral Product Manufacturing. . . 331. Primary Metal Manufacturing . . . 332. Fabricated Metal Product Manufacturing. . . 333. Machinery Manufacturing. . . 334. Computer and Electronic Product Manufacturing. . . 335. Electrical Equipment, Appliance, and Component Manufacturing. . . 336. Transportation Equipment Manufacturing. . . 337. Furniture and Related Product Manufacturing. . . 339. Miscellaneous Manufacturing. . . 4231 [1] . Motor Vehicle and Parts Merchant Wholesalers. . . 4232 [1] . Furniture and Home Furnishing Merchant Wholesalers. . . 4233 [1] . Lumber and other Construction Materials Merchant Wholesalers. . . 4234 [1] . Commercial Equipment Merchant Wholesalers. . . 4235 [1] . Metal and Mineral (except Petroleum) Merchant Wholesalers. . . 4236 [1] . Electrical and Electronic Goods Merchant Wholesalers. . . 4237 [1] . Hardware and Plumbing Merchant Wholesalers. . . 4238 [1] . Machinery, Equipment, and Supplies Merchant Wholesalers. . . 4239 [1] . Miscellaneous Durable Goods Merchant Wholesalers. . . 4241 [1] . Paper and Paper Product Merchant Wholesalers. . . 4242 [1] . Drugs and druggists' sundries merchant wholesalers. . . 4243 [1] . Apparel, Piece Goods, and Notions Merchant Wholesalers. . . 4244 [1] . Grocery and Related Product Merchant Wholesalers. . . 4245 [1] . Farm Product Raw Material Merchant Wholesalers. . . 4246 [1] . Chemical and Allied Products Merchant Wholesalers. . . 4247 [1] . Petroleum and Petroleum Products Merchant Wholesalers. . . 4248 [1] . Beer, Wine, and Distilled Alcoholic Beverage Merchant Wholesalers. . . 4249 [1] . Miscellaneous Nondurable Goods Merchant Wholesalers. . . 4541. Electronic Shopping and Mail-Order Houses. . . 45431. Fuel Dealers. . . 4841 [2] . General Freight Trucking. . . 4842 [2] . Specialized Freight Trucking. . . 4931 [2]. Warehousing and Storage. . . 5111 [3]. Newspaper, Periodical, Book, and Directory Publishers. . . 551114 [4]. Corporate, Subsidiary, and Regional Managing Offices. ...[1] Wholesale establishments exclude manufacturers sales offices and own brand importers..[2] Includes only captive warehouses that provide storage and shipping support to a single company. Warehouses offering their services to the general public and other businesses are excluded. For tabulation and publication purposes, NAICS 484 is grouped with NAICS 4931..[3] For 2017 this industry includes NAICS 51223. In the 2012 cycle, NAICS 51223 was not sampled..[4] Includes only those establishments in the industry with shipping activity as determined from the advance survey.....

Release Date: 2020-07-16.Release Schedule:.The data in this file was released in July 2020...Source:.Suggested Citation: U.S. Department of Transportation, Bureau of Transportation Statistics; and, U.S. Department of Commerce, U.S. Census Bureau. (2020-07-16). Hazardous Materials Series: HazMat Shipment Characteristics for Packing Group 1 for the United States: 2017 and 2012 [dataset]. 2017 Commodity Flow Survey. Accessed [enter date you accessed/downloaded this table here] from https://data.census.gov/cedsci/table?q=cf1700h14&hidePreview=true&tid=CFSHAZMAT2017.CF1700H14...Key Table Information:.The estimates presented are based on data from the 2017 and 2012 Commodity Flow Surveys (CFS) and supersede data previously released in the 2017 CFS Preliminary Report. These estimates only cover businesses with paid employees. All dollar values are expressed in current dollars relative to each sample year (2017 and 2012), i.e., they are based on price levels in effect at the time of each sample. Estimates may not be additive due to rounding...Due to definitional and processing changes made each survey year, any data comparisons between one CFS survey and another should be made with caution. See the Comparability of Estimates section of the Survey Methodology for more details...Data Items and Other Identifying Records:.This file contains data on:.Value ($ Millions). Tons (Thousands). Ton-miles (Millions). Average miles per shipment (Number). Percent change from 2012 and coefficient of variation or standard error for all above data items...Geography Coverage:.The data are shown at the U.S. only. For information on Commodity Flow Survey geographies, including changes for 2017, see Census Geographies...Industry Coverage:.N/A..Footnotes:.N/A..FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/cfs/data/2017/CF1700H14.zip...API Information:.Commodity Flow Survey data are housed in the Census Bureau API. For more information, see https://api.census.gov/data/2017/cfshazmat.html...Methodology:.The noise infusion data protection method has been applied to prevent data disclosure, and to protect respondent's confidentiality. Estimates are based on a sample of establishments and are subject to both sampling and nonsampling error. Estimated measures of sampling variability are provided in the tables. For information on confidentiality protection, sampling error, and nonsampling error see Survey Methodology...Symbols:. S - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page.. Z - Rounds to Zero.. X - Not Applicable..For a complete list of all economic programs symbols, see the Symbols Glossary...Contact Information:.U.S. Census Bureau.Commodity Flow Survey.Tel: (301) 763 - 2108.Email: erd.cfs@census.gov

The Freight Analysis Framework (FAF5) - Regions dataset was created from 2017 base year data and was published on April 11, 2022 from the Bureau of Transportation Statistics (BTS) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The 2017 Commodity Flow Survey (CFS) contains 132 zones for U.S. domestic regions, which are directly carried over to the geography definitions for the FAF (Version 5) Regions. These geographic areas can be classified as one of the following three types: (1) Metropolitan Area (MA): The state part of a selected metropolitan statistical area (MSA) or combined statistical area (CSA). (2) The Remainder of State (ROS): The portion of a state containing the counties that are not included in the MA type CFS Areas defined above. (3) Whole State: An entire state where no MA type CFS Areas are defined within the state. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529028

This is a public dataset for the Department of Transportation, Research and Innovative Technology Administration's Bureau of Transportation Statistics. The public database consists of four tables. One of the tables is a spatial table: INTERMODAL_FACILITY. The three other tables consist of attribute data for the database: INTERMODAL_CARGO, INTERMODAL_COMMODITY and INTERMODAL_DIRECTIONALITY. This database was based on the requirements from the Commodity Flow Survey and with the different modes of DOT, supervised by RITA/BTS. The database will extend its design to support all of the modes within the DOT and in reference to modes involved with Intermodal transfer.

The Freight Analysis Framework (FAF) integrates data from a variety of sources to create a comprehensive picture of freight movement among states and major metropolitan areas by all modes of transportation. With data from the 2007 Commodity Flow Survey and additional sources, FAF version 3 (FAF3) provides estimates for tonnage, value, and domestic ton-miles by region of origin and destination, commodity type, and mode for 2007, the most recent year, and forecasts through 2040. Also included are state-to-state flows for these years plus 1997 and 2002, summary statistics, and flows by truck assigned to the highway network for 2007 and 2040.

A Description of data fields, data definitions, and some context on changes between the different Commodity Flow Surveys

Release Date: 2020-07-16.Release Schedule:.The data in this file was released in July 2020...Source:.Suggested Citation: U.S. Department of Transportation, Bureau of Transportation Statistics; and, U.S. Department of Commerce, U.S. Census Bureau. (2020-07-16). Hazardous Materials Series: HazMat Shipment Characteristics by Hazardous Class or Division for the United States: 2017 and 2012 [dataset]. 2017 Commodity Flow Survey. Accessed [enter date you accessed/downloaded this table here] from https://data.census.gov/cedsci/table?q=cf1700h02&hidePreview=true&tid=CFSHAZMAT2017.CF1700H02...Key Table Information:.The estimates presented are based on data from the 2017 and 2012 Commodity Flow Surveys (CFS) and supersede data previously released in the 2017 CFS Preliminary Report. These estimates only cover businesses with paid employees. All dollar values are expressed in current dollars relative to each sample year (2017 and 2012), i.e., they are based on price levels in effect at the time of each sample. Estimates may not be additive due to rounding...Due to definitional and processing changes made each survey year, any data comparisons between one CFS survey and another should be made with caution. See the Comparability of Estimates section of the Survey Methodology for more details...Data Items and Other Identifying Records:.This file contains data on:.Value ($ Millions). Tons (Thousands). Ton-miles (Millions). Average miles per shipment (Number). Percent change from 2012 and coefficient of variation or standard error for all above data items...Geography Coverage:.The data are shown at the U.S. only. For information on Commodity Flow Survey geographies, including changes for 2017, see Census Geographies...Industry Coverage:.N/A..Footnotes:.N/A..FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/cfs/data/2017/CF1700H02.zip...API Information:.Commodity Flow Survey data are housed in the Census Bureau API. For more information, see https://api.census.gov/data/2017/cfshazmat.html...Methodology:.The noise infusion data protection method has been applied to prevent data disclosure, and to protect respondent's confidentiality. Estimates are based on a sample of establishments and are subject to both sampling and nonsampling error. Estimated measures of sampling variability are provided in the tables. For information on confidentiality protection, sampling error, and nonsampling error see Survey Methodology...Symbols:. S - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page.. Z - Rounds to Zero.. X - Not Applicable..For a complete list of all economic programs symbols, see the Symbols Glossary...Contact Information:.U.S. Census Bureau.Commodity Flow Survey.Tel: (301) 763 - 2108.Email: erd.cfs@census.gov

FAF domestic region level datasets and products provide information for states, state portions of large metropolitan areas, and remainders of states. Metropolitan areas consist of Metropolitan Statistical Areas or Consolidated Statistical Areas as defined by the Office of Management and Budget. When a metropolitan area is entirely within a state or when a state's portion of a multi-state metropolitan area is large enough to support the sampling procedures in the Commodity Flow Survey, the area becomes a separate FAF region. Small single-state metropolitan areas and small portions of a multi-state metropolitan area are part of the State or Remainder of State. FAF has two metropolitan areas that are each divided into three FAF regions, four that are each divided into two FAF regions, and several that have small pieces combined with States or Remainders of States.

© United States Department of Transportation, Federal Highway Administration. For more information, see the site http://www.ops.fhwa.dot.gov/freight/freight_analysis/faf/faf3/userguide/index.htm This layer is sourced from maps.bts.dot.gov.

The spatial component of the FAF network is derived from National Highway System Version 2009.11 and contains state primary and secondary roads, National Highway System (NHS), National Network (NN) and several intermodal connectors as appropriate for the freight network modeling. The network consists of over 447,808 miles of equivalent road mileage. The data set covers the 48 contiguous States plus the District of Columbia, Alaska, and Hawaii. The nominal scale of the data set is 1:100,000 with a maximal positional error of ±80 meters.

© ederal Highway Administration Office of Freight Management and Operations and the Battelle Memorial Institute, Columbus, OH

The Freight Analysis Framework (FAF) integrates data from a variety of sources to create a comprehensive picture of freight movement among states and major metropolitan areas by all modes of transportation. With data from the 2007 Commodity Flow Survey and additional sources, FAF version 3 (FAF3) provides estimates for tonnage, value, and domestic ton-miles by region of origin and destination, commodity type, and mode for 2007, the most recent year, and forecasts through 2040. Also included are state-to-state flows for these years plus 1997 and 2002, summary statistics, and flows by truck assigned to the highway network for 2007 and 2040.

The Freight Analysis Framework (FAF), produced through a partnership between BTS and FHWA, integrates data from various sources to create a comprehensive picture of freight movement among states and major metropolitan areas by all modes of transportation. The 2017 Commodity Flow Survey (CFS) and international trade data from the Census Bureau serve as the backbone of FAF and are integrated with ancillary data sources that capture goods movement in agriculture, resource extraction, utility, construction, retail, services, and other sectors.The current version of FAF5 (FAF5.3) provides estimates for tonnage (unit: thousand tons), value (unit: million dollars), and ton-miles (unit: million ton-miles) by origin-destination pair of FAF regions, commodity type, and mode for the base year (2017), the recent years (2018 - 2019), the forecast year estimates (2020 - 2050), and the state level historical trend estimates (1997-2012). The information may be accessed through the Data Tabulation Tool and downloaded as either a complete database or in summary files.This dataset represents the FAF5 network and has been subset to the greater Chattanooga region.

The creation of the fifth generation of FAF (FAF5) is underway, and the regional database for the benchmark year of 2017 is now available. Future releases of FAF5 will include annual estimates, historical time series, forecasts, tabulation and visualization tools, and network files based on the 2017 Commodity Flow Survey.The FAF5 Regional Database of tonnage, value, and ton-miles by FAF regions of origin and destination, commodity type, and mode, benchmarked to the 2017 Commodity Flow Survey is available. Weights are in thousands of tons, activity is in millions of ton-miles, and values are in millions of 2017 constant dollars. Files are available in .csv and MS Access formats.https://www.bts.gov/faf

Release Date: 2020-07-16.Release Schedule:.The data in this file was released in July 2020...Source:.Suggested Citation: U.S. Department of Transportation, Bureau of Transportation Statistics; and, U.S. Department of Commerce, U.S. Census Bureau. (2020-07-16). Hazardous Materials Series: HazMat Shipment Characteristics for Exports by Country of Destination: 2017 and 2012 [dataset]. 2017 Commodity Flow Survey. Accessed [enter date you accessed/downloaded this table here] from https://data.census.gov/cedsci/table?q=cf1700h15&hidePreview=true&tid=CFSHAZMAT2017.CF1700H15...Key Table Information:.The estimates presented are based on data from the 2017 and 2012 Commodity Flow Surveys (CFS) and supersede data previously released in the 2017 CFS Preliminary Report. These estimates only cover businesses with paid employees. All dollar values are expressed in current dollars relative to each sample year (2017 and 2012), i.e., they are based on price levels in effect at the time of each sample. Estimates may not be additive due to rounding...Due to definitional and processing changes made each survey year, any data comparisons between one CFS survey and another should be made with caution. See the Comparability of Estimates section of the Survey Methodology for more details...Data Items and Other Identifying Records:.This file contains data on:.Value ($ Millions). Tons (Thousands). Ton-miles (Millions). Percent change from 2012 and coefficient of variation or standard error for all above data items...Geography Coverage:.The data are shown at the U.S. only. For information on Commodity Flow Survey geographies, including changes for 2017, see Census Geographies...Industry Coverage:.N/A..Footnotes:.N/A..FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/cfs/data/2017/CF1700H15.zip...API Information:.Commodity Flow Survey data are housed in the Census Bureau API. For more information, see https://api.census.gov/data/2017/cfshazmat.html...Methodology:.The noise infusion data protection method has been applied to prevent data disclosure, and to protect respondent's confidentiality. Estimates are based on a sample of establishments and are subject to both sampling and nonsampling error. Estimated measures of sampling variability are provided in the tables. For information on confidentiality protection, sampling error, and nonsampling error see Survey Methodology...Symbols:. S - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page.. Z - Rounds to Zero.. X - Not Applicable..For a complete list of all economic programs symbols, see the Symbols Glossary...Contact Information:.U.S. Census Bureau.Commodity Flow Survey.Tel: (301) 763 - 2108.Email: erd.cfs@census.gov

This data provides core information on truck travel and commodity flows on the provincial highway network and other significant truck corridors. It includes the basic commercial vehicle information data set. This data is used by MTO's Systems Analysis and Forecasting Office to monitor truck volumes,value of goods and performance on major roadways within Ontario. *[MTO]: Ministry of Transportation

The point shapefile depicts intermodal terminal facilities where freight can be transferred between modes of transportation. The associated public database consists of four tables. One of the tables as a spatial table: Facility. The three other tables consist of attribute data for the database: Commodity, Directionality and Shipment. This database was based on the requirements from the Commodity Flow Survey and with the different modes of the United States Department of Transportation (DOT), supervised by the DOT Office of the Assistant Secretary for Research and Technology Bureau of Transportation Statistics. The database will extend its design to support all of the modes within the DOT and in reference to modes involved with Intermodal transfer. This layer is part of the 2014 National Transportation Atlas Database.