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 (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

The Freight Analysis Framework (FAF5) - Network Links 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 FAF (Version 5) Network contains 487,384 link features. All link features are topologically connected to permit network pathbuilding and vehicle assignment using a variety of assignment algorithms. The FAF Link and the FAF Node datasets can be used together to create a network. The link features include all roads represented in prior FAF networks, and all roads in the National Highway System (NHS) and the National Highway Freight Network (NHFN) that are currently open to traffic. Other included links provide connections between intersecting routes, and to select intermodal facilities and all U.S. counties. The network consists of over 588,000 miles of equivalent road mileage. The dataset covers the 48 contiguous States plus the District of Columbia, Alaska, and Hawaii. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529027

The Freight Analysis Framework (FAF5) - Highway Network Assignments was created from 2017 base year and 30 year forecast 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). This data package includes tabular files with results from FAF5 2017, 2022, and 2050 baseline assignments to represent freight flows by three separate truck only flows type (Total Truck, Single Unit, and Combination Unit) and three freight flow markets (domestic, import and export). 2017 and 2022 model years contain 6 data tables and 2050 model year contains 11 data tables, representing the truck only flows. Each data table can be linked to the FAF5 network geography to display truck flows by link.

From https://www.bts.gov/faf:The Freight Analysis Framework (FAF) database provides estimates of US freight flows. The FAF provides data for states and metropolitan areas. Flows include all modes of transportation and 42 commodity types. The Bureau of Transportation Statistics (BTS) produces the FAF with support from the Federal Highway Administration (FHWA). BTS builds FAF with data from many sources. Inputs include the Commodity Flow Survey (CFS), foreign trade data, and data from agriculture, extraction, utility, construction, service, and other sectors.FAF5 includes three types of freight flows: weight, value and activity. The FAF provides weight in thousands of tons, value in millions of 2017 constant dollars, and activity in millions of ton-miles. Users can download .csv and Microsoft Access files below.The latest version of FAF (FAF5.6.1) provides estimates of weight, value, and activity by origin and destination regions, commodity type, and mode for:* Base year (2017)* Annual estimates (2018–2022)* Preliminary annual estimates (2023)* Forecast year estimates (2025–2050)* State-level historical trend estimates (1997–2012)* Experimental county-to-county estimates (2022) – the recently released experimental product (county-level flows) and documentationThe experimental county-to-county estimates are uploaded separately at https://www.datalumos.org/datalumos/project/231661/version/V1/view.From https://ops.fhwa.dot.gov/freight/freight_analysis/faf/:The Freight Analysis Framework (FAF), produced through a partnership between Bureau of Transportation Statistics (BTS) and Federal Highway Administration (FHWA), 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. Starting with data from the 2017 Commodity Flow Survey (CFS) and international trade data from the Census Bureau, FAF version 5 (FAF5) incorporates data from agriculture, extraction, utility, construction, service, and other sectors.The FAF5 provides estimates for tonnage and value by regions of origin and destination, commodity type, and mode for base year 2017 and a 30- year forecasts. FAF5 forecasts provide a range of future freight demands at five-year increments representing three different economic growth scenarios, through 2050, by various modes of transportation.

description: FAF domestic region level datasets and products (NTAD) 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.; abstract: FAF domestic region level datasets and products (NTAD) 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.

The Freight Analysis Framework (FAF), produced through a partnership between BTS and FHWA, 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. Starting with data from the 2012 Commodity Flow Survey (CFS) and international trade data from the Census Bureau, FAF incorporates data from agriculture, extraction, utility, construction, service, and other sectors.

FAF version 4 (FAF⁴) provides estimates for tonnage (in thousand tons) and value (in million dollars) by regions of origin and destination, commodity type, and mode. Data are available for the base year of 2012, the recent years of 2013 - 2015, and forecasts from 2020 through 2045 in 5-year intervals. Data may be accessed through the Data Extraction Tool, downloaded as a complete database, or in summary files.

Throughout 2016, releases of additional FAF4 products will provide state-to-state flows for 1997, 2002, and 2007; truck flows assigned to the highway network for 2012 and 2045; and domestic ton-miles and distance bands.

"Freight Analysis Framework 2.2 Network Machine Readable Data Files" are distributed by the Federal Highway Administration Office of Freight Management and Operations, Operations Core Business Unit, Washington DC, 2007

Purpose

The spatial component of the FAF 2.2 network is derived from National Highway Planning Network Version 2005.08 and contains National Highway System (NHS), National Network (NN) and several intermodal connectors as appropriate for the freight network modeling. The network consists of over 447,407 miles of equivalent road mileage. The data set covers the 48 contiguous States, Alaska, Canadian routes that connects Alaska to the contiguous States and the District of Columbia. The nominal scale of the data set is 1:100,000 with a maximal positional error of ±80 meters.

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.

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 Canadian Freight Analysis Framework integrates data from several sources to create a comprehensive picture of freight flows across the country by geography, commodity and mode of transport. The framework database estimates tonnage, value, and tonne-kilometres by origin and destination, by commodity type, and by mode.

This polygon shapefile contains United States freight analysis framework (FAF) regions. 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. This layer is part of the 2014 National Transportation Atlas Database.

From https://www.bts.gov/faf/county:The Freight Analysis Framework (FAF) database provides estimates of the weight and value of shipments throughout the United States for all commodity types and forms of transportation using a geographic system of 132 FAF zones. The Bureau of Transportation Statistics (BTS) developed an experimental county-to-county commodity flow product to provide the user community with more geographically granular commodity flow data to support planning, policymaking, and operational decisions at the state and local levels. Users can download state-specific files or the entire set of disaggregation factors to create customized queries. This experimental product provides flows for five commodity groups and five mode categories (see documentation for more details). BTS welcomes users to email FAF@dot.gov with feedback on this experimental product.The state FIPS code is also shown next to the state. Each zip file contains four tables with 1) county-level OD flows for the state of interest and every adjacent state, 2) county-to-FAF OD flows from the multi-state area to all other FAF zones, 3) FAF-to-county OD flows from all other FAF zones to the multi-state area, and 4) FAF-to-FAF OD flows from all other FAF zones to all other FAF zones. The files use county-level geography for the state of interest and states adjacent to this state. FAF zones represent flows outside of this area.The main Freight Analysis Framework files are loaded to Data Lumos separately here: https://www.datalumos.org/datalumos/project/231642/version/V1/view. Additional documentation is available at that link.The faf5_county_readme.txt and faf5_county_readme.xlsx were created for this upload and were not created by the DOT. The direct url to download each state-level dataset is in faf5_county_readme.xlsx.

All FAF summary datasets

The Freight Analysis Framework (FAF5) - Network Links 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 FAF (Version 5) Network contains 487,384 link features. All link features are topologically connected to permit network pathbuilding and vehicle assignment using a variety of assignment algorithms. The FAF Link and the FAF Node datasets can be used together to create a network. The link features include all roads represented in prior FAF networks, and all roads in the National Highway System (NHS) and the National Highway Freight Network (NHFN) that are currently open to traffic. Other included links provide connections between intersecting routes, and to select intermodal facilities and all U.S. counties. The network consists of over 588,000 miles of equivalent road mileage. The dataset covers the 48 contiguous States plus the District of Columbia, Alaska, and Hawaii.

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.

United States US: Total Inland Freight Transport: %: Road data was reported at 55.907 % in 2021. This records a decrease from the previous number of 57.139 % for 2020. United States US: Total Inland Freight Transport: %: Road data is updated yearly, averaging 50.455 % from Dec 1994 (Median) to 2021, with 28 observations. The data reached an all-time high of 57.139 % in 2020 and a record low of 43.979 % in 2011. United States US: Total Inland Freight Transport: %: Road data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.ITF: Freight Transport by Mode of Transport: OECD Member: Annual. [COVERAGE] Road freight transport is any movement of goods using a road vehicle on a given road network. When a road vehicle is being carried on another vehicle, only the movement of the carrying vehicle (active mode) is considered. TOTAL INLAND FREIGHT TRANSPORT Rail freight transport is any movement of goods using a railway vehicle or a given railway network. When a railway is being carries on another rail vehicle only the movement of the carrying vehicle (active mode) is being considered. Inland waterways freight transport is any movement of goods using IWT vessels which is undertaken wholly or partly on navigable inland waterways. Bunkers and stores supplied to vessels in ports are excluded. When an IWT vessel is being carried on another vehicle, only the movement of the carrying vehicle (active mode) is taken into account. [COVERAGE] TOTAL INLAND FREIGHT TRANSPORT Between 2006 and 2009, the decrease in rail freight transport was due to the impact of the recession. Between 2014 and 2016, the decrease in rail freight transport was due mainly to a large drop in costal shipments by rail. Inland waterways freight transport includes domestic lakewise shipments and 60% of foreign lakewise shipments. [STAT_CONC_DEF] Since 2012, road freight transport is regularly revised following improvements to the Freight Analysis Framework tool.

A reanalysis of the U.S. Census Commodity Flow Survey and Oak Ridge National Laboratories Freight Analysis Framework. The data combines features of both datasets to elucidate the flow of food in the units from the farm, manufacturing, and distribution to grocery stores.

United States US: Total Inland Freight Transport: %: Rail data was reported at 36.577 % in 2021. This records an increase from the previous number of 35.448 % for 2020. United States US: Total Inland Freight Transport: %: Rail data is updated yearly, averaging 39.941 % from Dec 1994 (Median) to 2021, with 28 observations. The data reached an all-time high of 46.800 % in 2011 and a record low of 35.448 % in 2020. United States US: Total Inland Freight Transport: %: Rail data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.ITF: Freight Transport by Mode of Transport: OECD Member: Annual. [COVERAGE] Rail freight transport is any movement of goods using a railway vehicle or a given railway network. When a railway is being carries on another rail vehicle only the movement of the carrying vehicle (active mode) is being considered. TOTAL INLAND FREIGHT TRANSPORT Road freight transport is any movement of goods using a road vehicle on a given road network. When a road vehicle is being carried on another vehicle, only the movement of the carrying vehicle (active mode) is considered. Inland waterways freight transport is any movement of goods using IWT vessels which is undertaken wholly or partly on navigable inland waterways. Bunkers and stores supplied to vessels in ports are excluded. When an IWT vessel is being carried on another vehicle, only the movement of the carrying vehicle (active mode) is taken into account. [COVERAGE] Between 2006 and 2009, the decrease in rail freight transport was due to the impact of the recession. Between 2014 and 2016, the decrease in rail freight transport was due mainly to a large drop in costal shipments by rail. TOTAL INLAND FREIGHT TRANSPORT Inland waterways freight transport includes domestic lakewise shipments and 60% of foreign lakewise shipments. [STAT_CONC_DEF] TOTAL INLAND FREIGHT TRANSPORT Since 2012, road freight transport is regularly revised following improvements to the Freight Analysis Framework tool.

United States US: Total Inland Freight Transport data was reported at 7,447,865.111 Tonne-km mn in 2018. This records an increase from the previous number of 7,224,483.419 Tonne-km mn for 2017. United States US: Total Inland Freight Transport data is updated yearly, averaging 6,363,403.105 Tonne-km mn from Dec 1980 (Median) to 2018, with 39 observations. The data reached an all-time high of 7,447,865.111 Tonne-km mn in 2018 and a record low of 4,248,174.703 Tonne-km mn in 1983. United States US: Total Inland Freight Transport data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.ITF: Freight Transport by Mode of Transport: OECD Member: Annual. [STAT_CONC_DEF] Total inland freight transport: any movement of goods using a vehicle on a given network. It includes rail, road, inland waterways and pipeline when they exist. Tonne-kilometre: unit of measurement of goods transport which represents the transport of one tonne of goods over a distance of one kilometre. [STAT_CONC_DEF] Since 2012, road freight transport is regularly revised following improvements to the Freight Analysis Framework tool. [COVERAGE] Data should include national and international goods transport. [COVERAGE] Between 2006 and 2009, there was a decrease in rail freight transport due to the recession. Between 2014 and 2016, there was a decrease in rail freight transport due to the drop in coal shipments. Inland waterways freight includes domestic lakewise shipments and 60 percent of foreign lakewise shipments (to limit double counting with the Canadian data). Since 2012, pipeline transport of oil is assumed to be 60 percent of all pipeline shipments.