GTFS Transit Data for Nicaragua - ni-managua-gtfs by Nicaragua

Be careful - this feed has expired! (2021-02-01 - 2023-01-31)

Detailed Overview of ni-managua-gtfs Public Transport GTFS Data

The ni-managua-gtfs GTFS feed, provided by Nicaragua, delivers a comprehensive dataset for public transportation in Nicaragua. This feed, formatted in GTFS, covers an extensive network of 46 routes and 1703 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 Nicaragua, as shown on the map, with routes extending over a total distance of 1675.5 km.

Be careful - this feed has expired! The feed was active from February 1, 2021 to January 31, 2023. Although this GTFS feed is no longer current, it can still be a valuable resource for historical analysis, research, or for comparison with current transit data.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 ni-managua-gtfs feed provides the precise GTFS static data required to create insightful and user-friendly transportation solutions.

Transit Data for Nicaragua - ni-managua-gtfs by Nicaragua with Stops on Map

Enhanced and Corrected GTFS Data Resources (2024-12-17)

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 ni-managua-gtfs 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 Nicaragua. 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: 447aba20de32bffbe2d4c0c8eb02e6c5d2ac29a6
    SHA256: c3a7d9c5afd692cc3b53d1910cf227b9e70d0739a2a45cc128cb3f8b1ae5513b

    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 - (2021-02-08)

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.

  • The ni-managua-gtfs GTFS feed contains the original source data directly obtained from official providers in Nicaragua, 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: 8883d10eec212608dcc97700d79bf73b677d54b7
    SHA256: 72b87bf81724b0ccac805acd40532afd70b3a4f5a3ee3758dd7b8efff64427b4

    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
baybus 6 (0.35%) -