The North American Rail Network (NARN) Rail Lines dataset was created in 2016 and was updated on July 18, 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

The Rail Network is a comprehensive database of the nation's railway system at 1:24,000 to 1:100,000 scale. The data set covers all 50 States plus the District of Columbia

© Acknowledgment of the Federal Railroad Administration (FRA) This layer is sourced from maps.bts.dot.gov.

The Railroad Network is a comprehensive database of the nation's railway system at 1:24,000 to 1:100,000 scale. The data set covers all 50 States plus the District of Columbia.

© The Federal Railroad Administration (FRA)

The North American Rail Network (NARN) Rail Lines: Class I Freight Railroads View dataset is 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). This dataset is a subset of the NARN Rail Lines dataset that show the ownership and trackage rights for all the Class I freight railroads: “Burlington Northern and Santa Fe (BNSF),” "Canadian National (CN) Railway," "Canadian Pacific (CP) Railway," "CSX Transportation," "Norfolk Southern (NS) Railway," "Kansas City Southern (KCS) Railway," and "Union Pacific (UP)". It is derived from the North American Rail Network (NARN) Lines dataset, and for more information please consult, https://doi.org/10.21949/1519415. 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

The North American Rail Network (NARN) Rail Yards dataset was created in 2024 and was updated on September 30, 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). This Rail Yards layer represents and is derived from where the North American Rail Network (NARN) Lines layer as aggregated by type of track designated as yards. A rail yard is an area consisting of a network of tracks where trains are stored and/or maintained.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/10.21949/1528005

Illinois is at the center of the nation’s rail network. It has a comprehensive rail network consisting of approximately 9,982 miles of railroad tracks, 7,792 of which are operated by Class I railroads – primarily BNSF Railway and the Union Pacific Railroad (UP). Class I railroads are large freight companies, Class II and Class III are small regional railroad companies. The remaining 2,190 miles of track are operated by Class III short line or regional railroads. A total of 41 railroads currently operate in Illinois. They range in size from a short one-mile interstate carrier to larger railroads extending from Illinois to the West and East Coasts, Gulf of Mexico, Canada, and Mexico. Seven are freight (Class I) carriers and 34 are regional, local, switching and terminal railroads. In all, 40 railroads are able to provide service from Illinois to every part of the United States. Chicago is the largest US rail gateway and there is another major rail center located in East St. Louis. Rail’s importance to both Chicago and the state is highlighted by the fact that over 1,300 freight, passenger and commuter trains pass through the Chicago region every day and, in 2011, Illinois ranked first in the nation in terms of rail freight volume at 490.4 million tons.Updated from IDOT Illinois Railroads MapBase source 9/19/2019

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Rails Shapefile includes all features within the MTDB Super Class "Rail Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begin with "R". This includes main lines such as spur lines, rail yards, mass transit rail lines such as carlines, streetcar track, monorail or other mass transit rail and special purpose rail lines such as cog rail lines, incline rail lines and trams.

This dataset contains point features that represent Railroad Crossings in Central Ohio. Each highway-rail or pathway crossing is assigned a unique alphanumeric seven digit identifier by the Federal Railroad Administration (FRA) and the United States Department of Transportation (USDOT) as a part of the Rail Safety Improvement Act of 2008. This unique identifier is stored in a national database that can be used to quickly retrieve information about the physical and operating characteristics of both public and private crossings. In addition, this information can be used by Emergency Personnel to quickly and accurately locate calls for service. This unique identifier is commonly referred to as a "Railroad Crossing ID" or "FRA Number". Each Railroad Crossing must have this number posted on a metal plate at each crossing. Many crossings have a sign that includes the name of the railroad and an emergency contact telephone number in addition to the Railroad Crossing ID.This information can be retrieved remotely from the Federal Railroad Administration, Office of Safety Analysis' website at: http://safetydata.fra.dot.gov/OfficeofSafety/PublicSite/Crossing/Crossing.aspx

The North American Rail Network (NARN) Rail Nodes dataset was created in 2016 and was updated on September 30, 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

The North American Rail Network (NARN) Rail Lines: CSX View dataset is 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). This dataset is a subset of the NARN Rail Lines dataset that show the ownership and trackage rights for the Class I railroad “CSX Transportation.” It is derived from the North American Rail Network (NARN) Lines dataset, and for more information please consult, https://doi.org/10.21949/1519415. 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

The North American Rail Network (NARN) Rail Lines: UP View dataset is 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). This dataset is a subset of the NARN Rail Lines dataset that show the ownership and trackage rights for the Class I railroad “Union Pacific (UP).” It is derived from the North American Rail Network (NARN) Lines dataset, and for more information please consult, https://doi.org/10.21949/1519415. 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

Definition For the purposes of this dataset, Rail or Railway is defined as: A transportation system using one or more rails to carry freight or passengers. Abstract The Foundation Rail Infrastructure feature dataset is part of the Foundation Spatial Data Framework theme for Transport. The Foundation Rail Infrastructure feature dataset is specifically made up of Rail line features (Railways, Rail Sidings and Tramline including Light Rail) and Rail points (Stations). This feature class represents a national aggregation of the spatial locations and attributes of line and point features, of publicly available data. Rail Infrastructure information has been derived from various sources provided by data custodians including Spatial Services (NSW), Department of Natural Resources, Mines and Energy (QLD), Department of Environment, Land, Water and Planning (VIC), Land Tasmania (TAS) and Department of Infrastructure and Transport (SA). The coverage is across all states and territories however due to restrictive licensing, Geoscience Australia data was used as the source data for Western Australia (lines and points), the Northern Territory (lines and points) and South Australia (points). Data published by Victoria falling within South Australia has been included (points). Further information on datasets provided by State and Territory custodians can be found under Source Information in this metadata statement. Currency Date modified: 7 June 2021 Modification frequency: As needed Data extent Spatial extent North: -12.424680° South: -43.455040° East: 153.613384° West: 113.616611° Source information eCat published version at https://ecat.ga.gov.au/geonetwork/srv/eng/catalog.search#/metadata/145400 Lineage statement Data supplied to Geoscience Australia from the custodians was processed to perform geometry validation (checks to remove corrupt geometries) and transform the attribute values to the national schema. Minor spatial modifications have taken place to update attribute information in the source data for the national specification. During translation, the length of the features in kilometres was also calculated (LENGTH_KM) using a geodesic distance calculation. The Digital Atlas data team have republished and hosted the data as three separate layers:

Railways, Rail Sidings, Tram Lines.

The symbology applied displays the layers as operational or not operational, however queries can be performed using any operational status, refer to the data dictionary for filters and query options. The date of extraction May 2023. Data dictionary Railway Lines

Attribute name Description

OBJECTID Automatically generated system ID

FEATURESUBTYPE An identifier for the type of feature represented: 90015 — Railway90016 — Rail Siding90017 — Tramline

NAME The name of the feature

OPERATIONAL_STATUS The Operational status of the feature: Operational — Fully capable of operation.Abandoned — Not in operation due to it being non-functional and operation is not scheduled to be restored.Disused — Temporarily not in operation due to it being non-functional and operation is scheduled to be restored.Proposed — Proposed infrastructure.Unknown — There is no information specified regarding the attribute value.Other — The attribute value is known, but is not currently a valid member of the attribute range.Under Construction — The feature is currently being constructedClosed — The feature is currently closed for use or accessDismantled — The feature has been physically removed

FEATURE_DATE This is the date of the latest edit of the source data.

FEATURE_SOURCE This is the name of the latest source used to add, update or verify a features existence or position. In most cases, this would be imagery (satellite, orthophotography, World Imagery).

ATTRIBUTE_DATE This is the date of the latest source material used to initially assign, or subsequently change or confirm the value of, one of the attributes of the feature.

ATTRIBUTE_SOURCE This is the name of the latest source material used to populate the attribute field/s of a feature.

PLANIMETRIC_ACCURACY The standard deviation of the horizontal positional accuracy.

SOURCE_UFI The unique identifier of the feature as represented in the source.

SOURCE_JURISDICTION The jurisdiction of the feature source.

CUSTODIAN_AGENCY The agency or organisation for the source of this feature.

CUSTODIAN_LICENCING Specific licensing relating to this feature.

LOADING_DATE Date of data loaded into national model.

SOURCE_SUPPLY_DATE Date of source supply to Geoscience Australia for loading into the national schema, usually the date the data is downloaded from the custodian site

TRACK_GAUGE The gauge is the spacing of the rails on a railway track and is measured between the inner faces of the load-bearing rails. Not Applicable — Gauge is not applicable for this featureStandard: 1435mm — Standard gaugeBroad: 1600mm — Broad gaugeNarrow: 1067mm — Narrow gaugeLight — Light rail gaugeOther — A different type of rail gaugeUnknown — The gauge is not known for this featureStandard-Broad — The feature has a mix of both standard and broad gaugesStandard-Narrow — The feature has a mix of both standard and narrow gauges

GROUND_RELATIONSHIP The relative relationship of the railway to the ground. Unknown — Relationship to the surface is unknownOnBridge — The feature utilises a bridgeInTunnel — The feature is a tunnel through the groundOn Ground — The feature is located on the groundOther — Other relationship exists for the feature

TRACKS The number of railway tracks the feature represents. Unknown — It is not known how many tracks the feature representsSingle — The feature represents a single railway trackMultiple — The feature represents multiple railway tracksNot Applicable — Tracks is not applicable to this feature

LENGTH_KM The length of the feature in kilometres (calculated by projecting SHAPE_LENGTH in the source data).

ALTERNATIVE_NAME An alternative name for the feature or section name.

OWNER The owner of the feature.

SHAPE_Length Automatically generated length in decimal degrees.

Known Limitations of the Data These data have some known issues. The content and quality of the data varies on the state provider. Contact Geoscience Australia, clientservices@ga.gov.au

FRA Grade Crossings is a spatial file that originates from the National Highway-Rail Crossing, Inventory Program. The program is to provide information to Federal, State, and local governments, as well as the railroad industry for the improvements of safety at highway-rail crossing.

© Federal Railroad Administration (FRA) This layer is sourced from maps.bts.dot.gov.

North American Rail Network LinesImportant Note: This item is in mature support as of December 2024 and will be retired in April 2025. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.This feature layer, utilizing National Geospatial Data Asset (NGDA) data from the Bureau of Transportation Statistics (BTS), displays the North American Rail Network (NARN). Per BTS, "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."Rail Line FRA ID# 389469 (Erie County, NY)Data currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (North American Rail Lines) and will support mapping, analysis, data exports and OGC API – Feature access.NGDAID: 145 (North American Rail Network Lines)OGC API Features Link: (North American Rail Lines - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information: Rail Network DevelopmentSupport documentation: MetadataFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Data SetThis data set is part of the NGDA Transportation Theme Community. Per the Federal Geospatial Data Committee (FGDC), Transportation is defined as the "means and aids for conveying persons and/or goods. The transportation system includes both physical and non-physical components related to all modes of travel that allow the movement of goods and people between locations".For other NGDA Content: Esri Federal Datasets

The objective is to delineate potential crude by rail routes across California, focusing on a subset of the Caltrans "California Rail Network" dataset. Specifically, this subset comprises Union Pacific Railroad and BNSF routes, the primary carriers for crude by rail in the state. For the original dataset, please refer to the Caltrans GIS Data Hub web page.The purpose of the data is to depict the rail network by utilizing available reference data and information from the California Region Timetable 20. Within the Rail feature class, alignment details for passenger and freight railroad lines are included, encompassing commuter rail and heavy rail. This feature class facilitates the selection of various rail alignments in California, covering passenger, commuter, recreational, freight, and shortline rail, excluding BART.

A joint venture involving the National Atlas programs in Canada (Natural Resources Canada), Mexico (Instituto Nacional de Estadística Geografía e Informática), and the United States (U.S. Geological Survey), as well as the North American Commission for Environmental Co-operation, has led to the release (June 2004) of several new products: an updated paper map of North America, and its associated geospatial data sets and their metadata. These data sets are available online from each of the partner countries both for visualization and download. The North American Atlas data are standardized geospatial data sets at 1:10,000,000 scale. A variety of basic data layers (e.g. roads, railroads, populated places, political boundaries, hydrography, bathymetry, sea ice and glaciers) have been integrated so that their relative positions are correct. This collection of data sets forms a base with which other North American thematic data may be integrated. Any data outside of Canada, Mexico, and the United States of America included in the North American Atlas data sets is strictly to complete the context of the data. The North American Atlas - Railroads data set shows the railroads of North America at 1:10,000,000 scale. The railroads selected for this data set are either rail links between major centres of population or major resource railways. There is no classification of rail lines. This data set was produced using digital files supplied by Natural Resources Canada, Instituto Nacional de Estadística Geografía e Informática, and the U.S. Geological Survey.

"https://s3.amazonaws.com/lakecountygis-public/transportation/rail.zip" target="_blank">Download In State Plane Projection Here.

** In addition to the Railroad Centerlines feature class, the hyperlink download above also contains a generalized layer, as well as all tracks including spurs **

This dataset was created as a cartographic backdrop as well as for any analysis that requires railroads locations. The railroads were originally traced off aerial photography taken in April of 2000 using heads up digitizing in ESRI ArcGIS and later revised using photography taken in 2005, 2007, 2010, 2012 and 2013. This dataset should satisfy National Map Accuracy Standards for a 1:1200 product.

Update Frequency:
This dataset is updated on a weekly basis.

Connecticut Railroads is a 1:24,000-scale, feature-based layer that includes railroad features on the U.S. Geological Survey (USGS) 7.5 minute topographic quadrangle maps for the State of Connecticut. This layer only includes features located in Connecticut. The layer is based on information from USGS topographic quadrangle maps published between 1969 and 1984 and does not represent the railroad system in Connecticut at any one particular point in time. The layer does not depict current conditions and excludes many railroads that have been built, modified, or removed since the time these topographic quadrangle maps were published. The layer includes railroad tracks, bridges, drawbridges, roundhouses, sidings, tracks, tunnels, underpasses, and stations. It does not include train schedule or track related information. Features are linear and represent railroad track centerlines. Attribute information is comprised of codes to cartographically represent (symbolize) rail features on a map. This layer was originally published in 1994. The 2005 edition includes the same rail features published in 1994, but the attribute information has been slightly modified and made easier to use.

The Railroad Grade Crossings dataset was updated on July 13, 2025 and was created on July 15, 2025 by 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 Railroad Grade Crossings is a spatial file that originates from the National Highway-Rail Crossing Inventory Program. The program is to provide information to the public, Federal, State, and Local governments, as well as the railroad industry for information and the improvements of safety at highway-rail crossings. Some railroad grade crossings were located outside the US or their respective states, and relocated to latitude longitude 0,0. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529075

Bridges-Rail in the United States According to The National Bridge Inspection Standards published in the Code of Federal Regulations (23 CFR 650.3), a bridge isA structure including supports erected over a depression or an obstruction, such as water, highway, or railway, and having a track or passageway for carrying traffic or other moving loads. Each bridge was captured as a point which was placed in the center of the 'main span' (highest and longest span). For bridges that cross navigable waterways, this was typically the part of the bridge over the navigation channel. If no 'main span' was discernable using the imagery sources available, or if multiple non contiguous main spans were discernable, the point was placed in the center of the overall structure. Bridges that are sourced from the National Bridge Inventory (NBI) that cross state boundaries are an exception. Bridges that cross state boundaries are represented in the NBI by two records. The points for the two records have been located so as to be within the state indicated by the NBI's [STATE_CODE] attribute. In some cases, following these rules did not place the point at the location at which the bridge crosses what the user may judge as the most important feature intersected. For example, a given bridge may be many miles long, crossing nothing more than low lying ground for most of its length but crossing a major interstate at its far end. Due to the fact that bridges are often high narrow structures crossing depressions that may or may not be too narrow to be represented in the DEM used to orthorectify a given source of imagery, alignment with ortho imagery is highly variable. In particular, apparent bridge location in ortho imagery is highly dependent on collection angle. During verification, TechniGraphics used imagery from the following sourcesNGA HSIP 133 City, State or Local; NAIP; DOQQ imagery. In cases where 'bridge sway' or 'tall structure lean' was evident, TGS attempted to compensate for these factors when capturing the bridge location. For instances in which the bridge was not visible in imagery, it was captured using topographic maps at the intersection of the water and rail line. TGS processed 784 entities previously with the HSIP Bridges-Roads (STRAHNET Option - HSIP 133 Cities and Gulf Coast). These entities were added into this dataset after processing. No entities were included in this dataset for American Samoa, Guam, Hawaii, the Commonwealth of the Northern Mariana Islands, or the Virgin Islands because there are no main line railways in these areas. At the request of NGA, text fields in this dataset have been set to all upper case to facilitate consistent database engine search results. At the request of NGA, leading and trailing spaces were trimmed from all text fields. At the request of NGA, all diacritics (e.g., the German umlaut or the Spanish tilde) have been replaced with their closest equivalent English character to facilitate use with database systems that may not support diacritics. The currentness of this dataset is given by the publication date which is 09/02/2009. A more precise measure of currentness cannot be provided since this is dependent on the NBI and the source of imagery used during processing.

This line shapefile includes Global Map data showing railroads in the conterminous United States and Alaska. The data are a modified version of the National Atlas of the United States 1:1,000,000-Scale Railroads of the United States. This layer is part of the 1997-2014 edition of the National Atlas of the United States.