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National Highway Freight Network (NHFN)
The National Highway Freight Network (NHFN) dataset was compiled on January 27, 2023 from the Federal Highway Administration (FHWA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). Congress established a new National Highway Freight Program (NHFP) in 23 U.S.C. 167 to improve the efficient movement of freight on the National Highway Freight Network (NHFN) and support several goals. The law required the FHWA Administrator to strategically direct Federal resources and policies toward improved performance of the network. The NHFP provides formula funding apportioned annually to States, for use on the NHFN. The definition of the NHFN is established under 23 U.S.C. 167(c) and consists of four separate highway network components: the PHFS; Critical Rural Freight Corridors (CRFCs); Critical Urban Freight Corridors (CUFCs); and those portions of the Interstate System that are not part of the PHFS. Primary Highway Freight System (PHFS): This is a network of highways identified as the most critical highway portions of the U.S. freight transportation system determined by measurable and objective national data. The network consists of 41,800 centerlines miles, including 38,014 centerline miles of Interstate and 3,785 centerline miles of non-Interstate roads. Other Interstate portions not on the PHFS: These highways consist of the remaining portion of Interstate roads not included in the PHFS. These routes provide important continuity and access to freight transportation facilities. These portions amount to an estimated 10,265 centerline miles of Interstate, nationwide, and will fluctuate with additions and deletions to the Interstate Highway System. Critical Rural Freight Corridors (CRFCs): These are public roads not in an urbanized area which provide access and connection to the PHFS and the Interstate with other important ports, public transportation facilities, or other intermodal freight facilities. Nationwide, there are 5,389 centerline miles designated as CRFCs as of January 27, 2023. CRFCs are not included in GIS data base. Critical Urban Freight Corridors (CUFCs): These are public roads in urbanized areas which provide access and connection to the PHFS and the Interstate with other ports, public transportation facilities, or other intermodal transportation facilities. Nationwide, there are 2,656 centerline miles designated as CUFC as of January 27, 2023. CUFCs are not included in GIS data base.
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North American Rail Network Lines
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The North American Rail Network (NARN) Rail Lines dataset was created in 2016 and was updated on October 16, 2024 from the Federal Railroad Administration (FRA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The NARN Rail Lines dataset is a database that provides ownership, trackage rights, type, passenger, STRACNET, and geographic reference for North America's railway system at 1:24,000 or better within the United States. The data set covers all 50 States, the District of Columbia, Mexico, and Canada.
North American Rail Network Nodes
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The North American Rail Network (NARN) Rail Nodes dataset was created in 2016 and was updated on October 16, 2024 from the Federal Railroad Administration (FRA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The NARN Rail Nodes dataset is a database of North America's railway system at 1:24,000 or better within the United States. The data set covers all 50 States, the District of Columbia, Mexico, and Canada. The dataset holds topology of the network and provides geographic location information.
North American Rail Network Lines
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The North American Rail Network (NARN) Rail Lines dataset was created in 2016 and was updated on April 09, 2025 from the Federal Railroad Administration (FRA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The NARN Rail Lines dataset is a database that provides ownership, trackage rights, type, passenger, STRACNET, and geographic reference for North America's railway system at 1:24,000 or better within the United States. The data set covers all 50 States, the District of Columbia, Mexico, and Canada. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1528950
National Transit Map Routes
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The National Transit Map - Routes dataset was compiled on March 19, 2025 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 National Transit Map (NTM) is a nationwide catalog of fixed-guideway and fixed-route transit service in America. It is compiled using General Transit Feed Specification (GTFS) Schedule data. The NTM Routes dataset shows transit routes, which is a group of trips that are displayed to riders as a single service. To display the route alignment and trips for each route, this dataset combines the following GTFS files: routes.txt, trips.txt, and shapes.txt. The GTFS Schedule documentation is available at, https://gtfs.org/schedule/. To improve the spatial accuracy of the NTM Routes, the Bureau of Transportation Statistics (BTS) adjusts transit routes using context from the submitted GTFS source data and/or from other publicly available information about the transit service. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529048
North American Rail Network Nodes
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The North American Rail Network (NARN) Rail Nodes dataset was created in 2016 and was updated on April 09, 2025 from the Federal Railroad Administration (FRA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The NARN Rail Nodes dataset is a database of North America's railway system at 1:24,000 or better within the United States. The data set covers all 50 States, the District of Columbia, Mexico, and Canada. The dataset holds topology of the network and provides geographic location information. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529070
NHTSA Regions
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The National Highway Traffic Safety Administration (NHTSA) Regions dataset is as of July 14, 2023 from the National Highway Traffic Safety Administration (NHTSA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This dataset depicts NHTSA's Regional Operations and Program Delivery Office regional boundaries. It identifies which states and territories are associated with each region. NHTSA's regions help States use data to identify their highway safety challenges, evaluate safety programs and activities, and provide technical assistance to State program managers to support the implementation of impactful behavioral highway safety programs.
Freight Analysis Framework (FAF5) Highway Network Assignments
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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.
Intermodal Freight Facilities Air-to-Truck
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The Intermodal Freight Facilities - Air-to-Truck dataset was compiled on January 15, 2019 and was updated on February 24, 2020 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 dataset includes air to truck intermodal freight facilities for the top 60 airports by total freight moved in 2017. This dataset is one of several layers in the Bureau of Transportation Statistics (BTS) Intermodal Freight Facility Database.
FHWA Federal Lands Highway Division Offices
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The FHWA Federal Lands Highway Division Offices dataset is as of July 07, 2023 from the Federal Highway Administration (FHWA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This dataset shows the geographic location for each of the FHWA Federal Lands Highway Division Office. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529300
Railroad Bridges
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The Railroad Bridges dataset was compiled on October 14, 2022 from the Federal Railroad Administration (FRA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). A railroad bridge is defined as “Railroad bridge means any structure with a deck, regardless of length, which supports one or more railroad tracks, or any other undergrade structure with an individual span length of 10 feet or more located at such a depth that it is affected by live loads.” based on the Code of Federal Regulations (49 CFR Part 237). The FRA does not have a mandate to inspect railroad bridges: these inspections are required by the owner of the track. The FRA will use this railroad bridge dataset to determine the number of bridges per railroad, state, etc. and will assist in determining priority field activities.