GTFS Transit Data for Germany - nah-sh-siflecehpr by Connect-Info

Detailed Overview of nah-sh-siflecehpr Public Transport GTFS Data

The nah-sh-siflecehpr GTFS feed, provided by Connect-Info, delivers a comprehensive dataset for public transportation in Germany. This feed, formatted in GTFS, covers an extensive network of 1323 routes and 14800 stops, making it indispensable for developers and transit enthusiasts working with detailed transit data and transport information.

With 43 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 Germany, as shown on the map, with routes extending over a total distance of 2558893.0 km.

Valid from March 21, 2025 to March 20, 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 nah-sh-siflecehpr feed provides the precise GTFS static data required to create insightful and user-friendly transportation solutions.

Transit Data for Germany - nah-sh-siflecehpr by Connect-Info 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.

  • Our latest version of the nah-sh-siflecehpr 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 Germany. 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: d8dd206bca89437dd478c5ae93d632949fa085d5
    SHA256: 47b9a28341aa4559df58ac9e65cc465875f6a081282acc85ffe1b4f6a31fcee1

    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 CC_BY-SA_4.0..

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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. This work is licensed under a CC_BY-SA_4.0..

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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. This work is licensed under a CC_BY-SA_4.0..

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Source data - (2025-04-04)

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 nah-sh-siflecehpr GTFS feed contains the original source data directly obtained from official providers in Germany, 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: 9d6417aadccc13c67818422e8119da29249f4adc
    SHA256: ef1fa2b286cf5c354844f5cbe7699275558abcd798b93c5d0f77cfe033ef4802

    This source data was downloaded from this link. This source data is licensed under CC_BY-SA_4.0

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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.

    This validation work is licensed under CC_BY-SA_4.0..

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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
ulmer-eisenbahnfreunde 3407 (23.02%) 1213 (91.69%)
tuvisa-euskotran 669 (4.52%) 1073 (81.1%)
nrw 89 (0.6%) 1055 (79.74%)
toplevel-dhid-siflecehpr 5003 (33.8%) 478 (36.13%)
hamburgerverkehrsverbundhvv 110 (0.74%) 399 (30.16%)
hamburger-verkehrsverbund 111 (0.75%) 398 (30.08%)
verkehrsverbund-stuttgart 182 (1.23%) 73 (5.52%)
deutschen-bahn 59 (0.4%) 5 (0.38%)
deutsche-bahn 57 (0.39%) 4 (0.3%)
vmt 5 (0.03%) 3 (0.23%)
bwgesamt - 1 (0.08%)
vrr - 1 (0.08%)
vvs2 - 1 (0.08%)
mdv 13 (0.09%) -
geops-chl 8 (0.05%) -
odp-swiss 5 (0.03%) -
aaechener 2 (0.01%) -