GTFS Transit Data for United States - dnjj-clemson-sc by Transport-Usa

Detailed Overview of dnjj-clemson-sc Public Transport GTFS Data

The dnjj-clemson-sc GTFS feed, provided by Transport-Usa, delivers a comprehensive dataset for public transportation in United States. This feed, formatted in GTFS, covers an extensive network of 12 routes and 212 stops, making it indispensable for developers and transit enthusiasts working with detailed transit data and transport information.

With 1 operators contributing to this GTFS static feed, it ensures broad coverage and up-to-date scheduling in the GTFS format for a wide array of public transit options. The data spans a significant geographical area, primarily focusing on United States, as shown on the map, with routes extending over a total distance of 280.7 km.

Valid from November 30, 2020 to January 1, 2026, this GTFS feed is a reliable resource for any project needing accurate and structured public transit data, whether you’re using a GTFS editor, building a transit app, or integrating GTFS realtime (GTFS RT) data into your systems.

Whether planning a journey or conducting transport research, the dnjj-clemson-sc feed provides the precise GTFS static data required to create insightful and user-friendly transportation solutions.

Transit Data for United States - dnjj-clemson-sc by Transport-Usa with Stops on Map

Enhanced and Corrected GTFS Data Resources (2025-05-17)

Our team has addressed the most critical bugs in the dataset and rectified any inconsistencies to ensure optimal data quality.

Review our procedures list by clicking on the following link.

  • Our latest version of the dnjj-clemson-sc GTFS feed has been fully corrected and enriched, ensuring it meets the highest GTFS standards. This updated feed addresses critical bugs and errors, providing accurate and reliable transit data for United States. Our team has followed a detailed list of procedures to bring the source data up to GTFS format standards, making it indispensable for developers and transit planners.

    SHA1: 7d9a02cad975300ee61bedf7f0ecdcd9bb343144
    SHA256: c71f11ee6b8021e7f7bdf0955ed6f71d90e5eb8638c8d2d5eecdda63645ede4c

    You can download the latest improved GTFS feed, now free of inconsistencies, ensuring that your project has the best data available. The license for this work is not specified.

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  • We’ve included a detailed GTFS data validation report, offering insights into any errors or warnings within the feed. This report is crucial for developers working with GTFS static data, ensuring that your applications and analyses are based on clean and accurate information. The license for this work is not specified.

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  • For advanced users, we have also prepared the transit data in GeoJSON format, compatible with open-source tools like QGIS. This format is perfect for those requiring enhanced spatial analysis capabilities alongside their GTFS data. The license for this work is not specified.

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Source data - (2025-03-17)

We obtain the GTFS directly from official sources, but it may contain errors or be unsuitable for use.

Check the source and improved validation files to observe the disparities.

  • The dnjj-clemson-sc GTFS feed contains the original source data directly obtained from official providers in United States, formatted in the GTFS standard. This data serves as the foundation for public transit applications and transit research. While it offers a comprehensive base, it is recommended to carefully review the data, as it may contain errors or inconsistencies that could impact its immediate usability.

    SHA1: c28f952d038c1b17ec2256090d96684ff127f7bf
    SHA256: 68eb2de2240050a61a9cfcaad66daac6010e94aff093efb14928fc7b680245f6

    This source data was downloaded from this link. This source data is licensed under Not_specified

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  • To ensure a clear understanding of the integrity of the original source data, we provide a detailed mobility data validation report. This report highlights any errors or warnings found in the source GTFS data, offering insight into areas that may require attention during data usage.

    The license for this work is not specified.

    Download Now:

All data presented on this site is sourced from publicly available sources by our team of content managers. If you believe that a file has been posted in error or that an incorrect license has been attributed, please contact us at [email protected]. We will review your concerns promptly and take appropriate action.

Overlapping feeds

Feed Name Stops Overlap Number of overlapping stops.
We calculate duplicated stops using our own formula including geographic locations
Routes Overlap Number of overlapping routes.
We calculate duplicated routes using our own formula taking into consideration geographic locations
clemson-sc-us 16 (7.55%) 2 (16.67%)