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  1. Cameroon Feeds

GTFS Transit Data for Cameroon - socatur-bus2 by The-World-Bank

Be careful - this feed has expired! (2018-06-06 - 2019-07-06)

Detailed Overview of socatur-bus2 Public Transport GTFS Data

The socatur-bus2 GTFS feed, provided by The-World-Bank, delivers a comprehensive dataset for public transportation in Cameroon. This feed, formatted in GTFS, covers an extensive network of 20 routes and 94 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 Cameroon, as shown on the map, with routes extending over a total distance of 228.0 km.

Be careful - this feed has expired! The feed was active from June 6, 2018 to July 6, 2019. Although this GTFS feed is no longer current, it can still be a valuable resource for historical analysis, research, or for comparison with current transit data.

Whether planning a journey or conducting transport research, the socatur-bus2 feed provides the precise GTFS static data required to create insightful and user-friendly transportation solutions.

Transit Data for Cameroon - socatur-bus2 by The-World-Bank with Stops on Map

Enhanced and Corrected GTFS Data Resources (2025-04-05)

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.

  • Enhanced GTFS Data for Cameroon - Corrected & Enriched

    Our latest version of the socatur-bus2 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 Cameroon. 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: 11325a51265d478fca5f4d08459253470bf12820
    SHA256: 055a71d720b76a2a09dbdca532d523bb8082b9f6ed96238a333840534f861f89

    You can download the latest improved GTFS feed, now free of inconsistencies, ensuring that your project has the best data available. This work is licensed under a ODbL..

    Download Now:

  • GTFS Data Validation Report

    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. This work is licensed under a ODbL..

    Download Now:

  • GeoJSON Format Data for Advanced Analysis

    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. This work is licensed under a ODbL..

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Source data - (2018-08-08)

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.

  • GTFS Source Data for Cameroon - Official and Licensed

    The socatur-bus2 GTFS feed contains the original source data directly obtained from official providers in Cameroon, 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: d3b94e9722a8d15cf2464a61ac18f4d7a6a56b23
    SHA256: 2bf316d4011099921b0e0f6be7f87e8d76af4d1940e3e15ddbf2b0573d5103a6

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

    Download Now:

  • GTFS Data Validation Report

    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.

    This validation work is licensed under ODbL..

    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
douala-yellow-taxis 35 (37.23%) 5 (25%)
socatur - 2 (10%)