GTFS Transit Data for United States - city-of-commerce by City-Of-Commerce

Detailed Overview of city-of-commerce Public Transport GTFS Data

The city-of-commerce GTFS feed, provided by City-Of-Commerce, delivers a comprehensive dataset for public transportation in United States. This feed, formatted in GTFS, covers an extensive network of 7 routes and 213 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 146.7 km.

Valid from January 2, 2025 to December 23, 2025, 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 city-of-commerce feed provides the precise GTFS static data required to create insightful and user-friendly transportation solutions.

Transit Data for United States - city-of-commerce by City-Of-Commerce with Stops on Map

Enhanced and Corrected GTFS Data Resources (2025-04-22)

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 city-of-commerce 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: f76e81db0ccbcdd80cfdea8bc14ee63642b67d25
    SHA256: 5c69e924d33077da5f781199c803c8d3131ee86fca3b33a904c8e17086b4d839

    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 - (2025-02-24)

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 city-of-commerce 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: 41774adba4010fc80d58b5fc64ea79569c36bad0
    SHA256: 41614f5e739db7bb2f4233c7b1705adcc64084f7968b7e412ea8e15d025a9e7b

    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
cmbl-ca-us 19 (8.92%) 4 (57.14%)