This dataset is one component of the National Transit Database (NTD). The NTD records the financial, operating, and asset condition of transit systems helping to keep track of the industry and provide public information and statistics. This dataset includes only monthly unlinked passenger trips for each urban transit system in the U.S. Transit systems are separated by type (mode) such as heavy rail, light rail, and bus. "Unlinked passenger trips" represents the number of passengers who board public transportation vehicles. Passengers are counted each time they board vehicles no matter how many vehicles they use to travel from their origin to their destination. More information about the NTD is available at https://www.transit.dot.gov/ntd.

The National Flood Hazard Layer (NFHL) data incorporates all Digital Flood Insurance Rate Map(DFIRM) databases published by FEMA, and any Letters Of Map Revision (LOMRs) that have been issued against those databases since their publication date. The DFIRM Database is the digital, geospatial version of the flood hazard information shown on the published paper Flood Insurance Rate Maps(FIRMs). The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The NFHL data are derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The specifications for the horizontal control of DFIRM data are consistent with those required for mapping at a scale of 1:12,000. The NFHL data contain layers in the Standard DFIRM datasets except for S_Label_Pt and S_Label_Ld. The NFHL is available as State or US Territory data sets. Each State or Territory data set consists of all DFIRMs and corresponding LOMRs available on the publication date of the data set.

After data reporting was required by Congress in 1974, the FTA's National Transit Database (NTD) was set up to be the repository of data about the financial, operating and asset conditions of American transit systems. The NTD records the financial, operating, and asset condition of transit systems helping to keep track of the industry and provide public information and statistics. The NTD is designed to support local, state and regional planning efforts and help governments and other decision-makers make multi-year comparisons and perform trend analyses. It contains a wealth of information such as agency funding sources, inventories of vehicles and maintenance facilities, safety event reports, measures of transit service provided and consumed, and data on transit employees. FTA uses NTD data to apportion funding to urbanized and rural areas in the United States. Transit agencies report data on a number of key metrics including Vehicle Revenue Miles (VRM), Vehicle Revenue Hours (VRH), Passenger Miles Traveled (PMT), Unlinked Passenger Trips (UPT), and Operating Expenses (OE). This website provides reference materials to support reporting to the NTD and links to NTD data products.

This dataset describes the public transport networks of 25 cities across the world in multiple easy-to-use data formats. These data formats include network edge lists, temporal network event lists, SQLite databases, GeoJSON files, and General Transit Feed Specification (GTFS) compatible ZIP-files.

The source data for creating these networks has been published by public transport agencies according to the GTFS data format. To produce the network data extracts for each city, the original data have been curated for errors, filtered spatially and temporally and augmented with walking distances between public transport stops using data from OpenStreetMap.

Cities included in this dataset version: Adelaide, Belfast, Berlin, Bordeaux, Brisbane, Canberra, Detroit, Dublin, Grenoble, Helsinki, Kuopio, Lisbon, Luxembourg, Melbourne, Nantes, Palermo, Paris, Prague, Rennes, Rome, Sydney, Toulouse, Turku, Venice, and Winnipeg.

Contrary to the version 1.0 of this data set, this version (1.2) does not include the cities of Antofagasta and Athens, for which non-commercial usage of the data is not allowed.

Contrary to previous versions of the data set (1.0 and 1.2), in this version (1.2) the temporal filtering of the data has been slightly adapted, so that the daily and weekly data extracts cover all trips departing between from 03 AM on Monday to 03 AM on Tuesday (daily extract) or 03 AM of the Monday next week (weekly extract). Additionally, a temporal network extract covering a full week of operations has been added for each city.

Documentation of the data can be found in the Data Descriptor article published in Scientific Data: http://doi.org/10.1038/sdata.2018.89 When using this dataset, please cite also the above-mentioned paper.

Contains metrics describing service consumption and service cost for each public transportation agency, by mode and type of service.

The Intermodal Passenger Connectivity Database (IPCD) dataset was compiled on August 10, 2021 and was updated October 19, 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 IPCD is a nationwide database of passenger transportation terminals, with data on the availability of connections among the various scheduled public transportation modes at each facility. IPCD is no longer being updated, the latest information is from 2022. The IPCD data covers the following types of passenger transportation terminals/stops: 1. Scheduled airline service airports. 2. Intercity bus stations (includes stations served by regular scheduled intercity bus service such as Greyhound, Trailways, code sharing buses such as Amtrak Thruway feeder buses, supplemental buses that provide additional frequencies along rail routes, and airport bus services from locations that are outside of the airport metropolitan area). 3. Intercity and transit ferry terminals. 4. Light-rail transit stations. 5. Heavy-rail transit stations. 6. Passenger-rail stations on the national rail network served by intercity rail and/or commuter rail services. 7. Bikeshare stations belonging to bikeshare systems that are open to the general public, IT-automated, and station based (contain hubs to which users can grab and return a bike). The bikeshare stations only include those from the latest IPCD data collection in 2022. Please consult the latest bikeshare layer (https://doi.org/10.21949/1522020) for the most current information. The IPCD includes data elements describing the location of the above types of terminals as well as the availability of intercity, commuter, and transit rail; scheduled air service; intercity and transit bus; intercity and transit ferry services; and bikeshare availability. Transit bus service locations are not specifically included in the database. However, the status of transit bus as a connecting mode is included for each bikeshare facility in the database. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529035

Intermodal Passenger Connectivity DatabaseThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the Bureau of Transportation Statistics (BTS), displays the Intermodal Passenger Connectivity Database (IPCD). According to BTS, IPCD is a "nationwide database of passenger transportation terminals, with data on the availability of connections among the various scheduled public transportation modes at each facility." The types of passenger transportation terminals include:Scheduled airline service airportsIntercity bus stationsIntercity and transit ferry terminalsLight-rail transit stationsHeavy-rail transit stationsPassenger-rail stationsBike-share stationsThe data describes the availability and locations of the above types of passenger transportation terminals. Note, transit bus service locations are not specifically included.Collins Avenue 5300 Block (Miami Beach, FL)Data currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (Intermodal Passenger Connectivity Database IPCD) and will support mapping, analysis, data exports and OGC API – Feature access.Data.gov: Intermodal Passenger Connectivity Database (IPCD) (National) - National Geospatial Data Asset (NGDA) Intermodal (Passenger)Geoplatform: Intermodal Passenger Connectivity Database (IPCD) (National) - National Geospatial Data Asset (NGDA) Intermodal (Passenger)OGC API Features Link: (Intermodal Passenger Connectivity Database - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information: Intermodal Passenger Connectivity Database IPCDFor feedback please contact: Esri_US_Federal_Data@esri.comThumbnail image courtesy of: Metropolitan Transportation Authority of the State of New YorkNGDA 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

Provides agency-wide totals for data pertaining to mechanical failures of transit vehicles based off of data reported to the National Transit Database for the 2022 and 2023 report years. This view is based off of the "2022 - 2023 NTD Annual Data - Breakdowns" dataset, which displays the same data at a lower level of aggregation (by mode). This view displays the data at a higher level (by agency).

Only Full Reporters report breakdowns.

NTD Data Tables organize and summarize data from the 2022 and 2023 National Transit Database in a manner that is more useful for quick reference and summary analysis. The parent dataset is based on the 2022 and 2023 Vehicle Maintenance database files.

In years 2015-2021, you can find this data in the "Breakdowns" data table on NTD Program website, at https://transit.dot.gov/ntd/ntd-data.

If you have any other questions about this table, please contact the NTD Help Desk at NTDHelp@dot.gov.

The National Transit Map - Stops dataset was compiled on September 02, 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 Stops dataset shows stops where vehicles pick up or drop off riders. This dataset uses the GTFS stops.txt file. The GTFS schedule format and structure documentation is available at, https://gtfs.org/schedule/. To improve the spatial accuracy of the NTM Stops, the Bureau of Transportation Statistics (BTS) adjusts transit stops 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/10.21949/1529049

The pathway representation consists of segments and intersection elements. A segment is a linear graphic element that represents a continuous physical travel path terminated by path end (dead end) or physical intersection with other travel paths. Segments have one street name, one address range and one set of segment characteristics. A segment may have none or multiple alias street names. Segment types included are Freeways, Highways, Streets, Alleys (named only), Railroads, Walkways, and Bike lanes. SNDSEG_PV is a linear feature class representing the SND Segment Feature, with attributes for Street name, Address Range, Alias Street name and segment Characteristics objects. Part of the Address Range and all of Street name objects are logically shared with the Discrete Address Point-Master Address File layer.

Contains ratios describing service and cost for each agency, mode, and type of service.

The Means of Transportation to Work dataset was compiled using information from December 31, 2023 and updated December 12, 2024 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 Means of Transportation to Work table from the 2023 American Community Survey (ACS) 5-year estimates was joined to 2023 tract-level geographies for all 50 States, District of Columbia and Puerto Rico provided by the Census Bureau. A new file was created that combines the demographic variables from the former with the cartographic boundaries of the latter. The national level census tract layer contains data on the number and percentage of commuters (workers 16 years and over) that used various transportation modes to get to work. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529037

NOTE: As weblinks are updated continually by transit agencies, some links submitted in Report Year 2023 may no longer work. The most up-to-date weblinks dataset is refreshed on a monthly basis: https://data.transportation.gov/Public-Transit/General-Transit-Feed-Specification-Weblinks/2u7n-ub22/about_data As of Report Year (RY) 2023, FTA requires that reporters with fixed route modes create and maintain a public domain general transit feed specification (GTFS) dataset that reflects their fixed route service. This specification allows for the mapping and other geospatial data visualization and analyses of key transit elements such as stops, routes, and trips. At least one GTFS weblink is provided by the transit agency for each fixed route bus mode and type of service. These include all Rail modes as well as Bus, Bus Rapid Transit, Commuter Bus, Ferryboat and Trolleybus. GTFS requires that an overarching compressed file contain, at a minimum, seven underlying text files: (a) Agency; (b) Stops; (c) Routes; (d) Trips; (e) Stop Times; (f) Calendar or Calendar Dates.txt; and (g) Feed Info.txt. An eighth file, Shapes.txt, is an optional file. FTA collects and publishes these links for further analysis using related GTFS files. FTA is not responsible for managing the websites that host these files, and users with questions regarding the GTFS data are encouraged to contact the transit agency. In many cases, publicly hosted weblinks could not be provided (i.e., due to constraints within the transit agency), but the agency was able to produce a zip file of the required GTFS data. Demand Response, Vanpool, and other non-fixed route modes are excluded. The column "Alternate Format" indicates that the agency provided FTA a weblink in an alternate format with some justification for doing so. The file "Waived" indicates that no GTFS files were produced and FTA granted the agency a waiver from the requirement in Report Year 2023. NTD Data Tables organize and summarize data from the 2023 National Transit Database in a manner that is more useful for quick reference and summary analysis. This dataset is based on the 2023 General Transit Feed Specification database file. If you have any other questions about this table, please contact the NTD Help Desk at NTDHelp@dot.gov.

The Intercity Bus Atlas - Stops dataset uses source data from April 08, 2025 and was created on April 08, 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 Intercity Bus Atlas (ICBA) initiative collects, compiles, maps, publishes, and archives scheduled intercity bus service data provided by North American bus service providers. ICBA data--collected as periodic historic snapshots of available intercity bus services--is intended for federal, state, local, and tribal transportation decision makers, metropolitan planning organizations, transportation-related associations, private sector actors (including the freight community), and the public to better understand the density, frequency, accessibility, and reachability provided by the intercity bus industry's services. The stop, route, and schedule data provided by the ICBA reveal the local, interregional, and international connectivity, service densities, frequencies, and travel patterns enabled by the intercity bus component of the United States' myriad transportation facilities and services as well as how these services co-exist with other modes of passenger travel. The underlying source data of the ICBA are supplied by participating North American bus service providers, who publish their schedule information compliant the General Transit Feed Specification (GTFS). This GTFS standard allows intercity bus providers to publish operational information on their stops, routes, trips, schedules, fares, and transfers in a way that is maximally interoperable with applications that consume, process, and visualize the data for riders and others interested in learning more about their services. The ICBA, however, relies only on data provided via GTFS' schedule component; while there is a second GTFS component for real-time bus location data, it is not currently utilized or required for the ICBA. More information on GTFS is available at https://gtfs.org/schedule/. In turn, the Bureau of Transportations Statistics collects GTFS schedule data from provider websites and compiles them into a single geospatially enabled database. As of December 2023, this database contains two feature layers, each representing a different component of providers networks: stops and routes. The ICBA Routes dataset shows the alignment of each intercity bus route (i.e., a group of trips displayed to riders as a single service) along the national road network; it combines information from the GTFS "routes.txt", "trips.txt", and "shapes.txt" files. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529306

Provides agency-wide totals for track and roadway components. Data is from the National Transit Database in the 2022 and 2023 report years. These data include the types of track/roadway elements employed in transit operation, as well as the length and/or count of certain elements. This view is based off of the "2022 - 2023 NTD Annual Data - Track & Roadway (by Mode)" dataset, which displays the same data at a lower level of aggregation. This view displays the data at a higher level (by agency).

NTD Data Tables organize and summarize data from the 2022 and 2023 National Transit Database in a manner that is more useful for quick reference and summary analysis. The dataset that this view references is based on the 2022 and 2023 Transit Way Mileage database files.

In years 2015-2021, you can find this data in the "Track and Roadway" data table on NTD Program website, at https://transit.dot.gov/ntd/ntd-data.

In versions of the data tables from before 2015, you can find corresponding data in the file called "Transit Way Mileage - Rail Modes" and "Transit Way Mileage - Non-Rail Modes."

If you have any other questions about this table, please contact the NTD Help Desk at NTDHelp@dot.gov.

Provides agency-wide totals for data pertaining to the capacities and ownership types of maintenance facilities for each applicable agency reporting to the National Transit Database in the 2022 and 2023 report years. This view is based off of the "2022 - 2023 NTD Annual Data - Maintenance Facilities" dataset, which displays the same data at a lower level of aggregation. This view displays the data at a higher level (by agency).

Please note that because Rural Reporters are not required to report facility size counts, for these reporters null values appear under facility size columns, yet non-zero values may appear under Total Facilities.

NTD Data Tables organize and summarize data from the 2022 and 2023 National Transit Database in a manner that is more useful for quick reference and summary analysis. The dataset that this view references is based on the 2022 and 2023 Transit Facilities database files.

In years 2015-2021, you can find this data in the "Maintenance Facilities" data table on NTD Program website, at https://transit.dot.gov/ntd/ntd-data.

If you have any other questions about this table, please contact the NTD Help Desk at NTDHelp@dot.gov.

Provides agency-wide totals for data pertaining to the age of transit stations reported to the National Transit Database in the 2022 and 2023 report years. This view is based off of the "2022 - 2023 NTD Annual Data - Stations (by Mode and Age)" dataset, which displays the same data at a lower level of aggregation. This view displays the data at a higher level (by agency).

In many cases, stations are reported by each mode and type of service that uses them. For example, a single station used by bus - directly operated, bus - purchased transportation, and commuter bus - directly operated would be reported three times. For more detail, please see the NTD Policy Manual.

Rural reporters do not report passenger stations and are not included in this file. Modes Demand Response, Demand Response - Taxi, Vanpool, and Publico also do not report stations and are also excluded.

NTD Data Tables organize and summarize data from the 2022 and 2023 National Transit Database in a manner that is more useful for quick reference and summary analysis. This dataset is based on the 2022 and 2023 Facility Inventory database files.

In years 2015-2021, you can find this data in the "Stations" data table on NTD Program website, at https://transit.dot.gov/ntd/ntd-data.

If you have any other questions about this table, please contact the NTD Help Desk at NTDHelp@dot.gov.

Success.ai’s Transport and Logistics Data provides comprehensive, verified B2B contact and company information tailored for the global logistics sector. Drawing from a database of over 170 million verified professional profiles and 30 million company profiles, this dataset delivers accurate contact details, firmographic insights, and operational data on logistics service providers, freight forwarders, trucking companies, 3PLs, and supply chain management firms worldwide. Whether you’re targeting key decision-makers for partnerships, offering freight optimization technology, or conducting market research, Success.ai ensures your outreach and strategic planning are anchored in reliable, continuously updated, and AI-validated data.

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This dataset details local funding sources for each applicable agency reporting to the National Transit Database in the 2022, 2023, and 2024 report years. Examples include Income, Sales, Property and Fuel taxes and Tolls.

NTD Data Tables organize and summarize data from the National Transit Database in a manner that is more useful for quick reference and summary analysis. This dataset is based on the 2022 - 2024 Revenue Sources database files.

In years 2015-2021, you can find this data in the "Funding Sources" data table on NTD Program website, at https://transit.dot.gov/ntd/ntd-data.

If you have any other questions about this table, please contact the NTD Help Desk at NTDHelp@dot.gov.

The Intelligent Transportation Systems Joint Program Office (ITS JPO) of the U.S. Department of Transportation (U.S. DOT) has developed this ITS Benefits Database. Major objectives are; (1) document findings from the evaluation of ITS deployments pertaining to the effect of ITS on transportation systems performance, (2) provide transportation professionals with convenient access to the benefits of ITS deployment so that they can make informed planning and investment decisions.

Findings from ITS evaluations are presented in a concise summary format. Each benefit entry includes items such as a title in the form of a short statement of the evaluation finding, context narrative, and identifying information such as date, location, and source, as well as the evaluation details that describe how the identified ITS benefit was determined.