Best of Passenger ground transportation

The 10 Best Passenger Ground Transportation Datasets in 2026

10 Passenger ground transportation picks, ranked on what's inside: field richness, coverage depth, fit for the job. NYC TLC Trip Record Data leads — One row per individual trip.

  • 10ranked picks
  • 17documented fields on stage
  • 1/6with mapped coverage

API, files, or your warehouse. Daily, weekly, or hourly.

Every dataset here carries a 0–10 score built on documented fields, and the ranking follows those scores. When records tie, coverage breaks it: more geography, deeper history, finer granularity. Cadence isn't a scoring axis — it's a delivery setting. Delivered daily, weekly, or hourly, your call.

  1. 1 Mobility Database - Global GTFS GTFS-Realtime Feed Catalog
  2. 2 National Transit Database Monthly Annual Ridership Datasets
  3. 3 10/10
    Passenger ground transportation

    NYC TLC Trip Record Data

    PULocationID · DOLocationID · payment_type …+6 more

    One row per individual trip. 586 monthly archives across the four classes.

  4. 4 TfL Open Data Unified API
  5. 5 10/10
    Passenger ground transportation

    National Household Travel Survey

  6. 6 9/10
    Passenger ground transportation

    Chicago Transportation Network Providers Trips

    fare · tip · additional_charges …+4 more

    One row per individual ride-hail trip.

  7. 7 9/10
    Passenger ground transportation All U.S. states, counties, places, tracts and… · Annual since 2005

    American Community Survey - Journey to Work / Commuting Data

    NAME

    Why it ranks seventh: it ties transit catchments to labor markets - origin-destination worker flows are the join key between where people live and where transit actually runs.

  8. 8 9/10
    Passenger ground transportation

    MTA Daily Ridership Data: Beginning 2020

    Why it ranks eighth: it is the cleanest post-2020 recovery series anywhere in the slice, small enough to load whole yet split by mode and day type.

  9. 9 9/10
    Passenger ground transportation

    Eurostat Passenger Transport Statistics

  10. 10 UK Bus Statistics Bus Open Data Service

Frequently asked questions

Which passenger ground transportation dataset covers the longest time span?

The American Community Survey Journey to Work data runs annual commuting series since 2005 with historical decennial journey-to-work lineage before that, while the National Household Travel Survey fielded waves in 1969, 1977, 1983, 1990, 1995, 2001, 2009, 2017 and 2022. For continuous monthly coverage, the NTD ridership set reaches back to January 2002 without interruption.

What is the largest trip-level taxi dataset available?

NYC TLC Trip Record Data leads on depth: every yellow, green, for-hire and high-volume for-hire trip since January 2009, coded to 258 TLC Taxi Zones, hundreds of millions of rows a year. Chicago Taxi Trips is the volume runner-up with roughly 1.7 billion fare-level rows covering 2013 through 2023 plus a successor table for 2024 onward.

Where can I find ridership for every US transit agency?

The National Transit Database monthly ridership datasets hold unlinked passenger trips, vehicle revenue miles, hours and peak vehicles per agency, mode and type of service - roughly 370,000 rows across 834 NTD IDs from January 2002 to the current month. Around 900-plus agencies report annually to the program overall.

How many GTFS feeds exist worldwide?

The Mobility Database catalogs 6,487 feeds - 4,523 GTFS Schedule and 1,964 GTFS-Realtime - spanning 94 countries across North America, Europe, Asia, Oceania, Africa and Latin America. Each record carries operator, country code, geographic bounding box and validation metadata, and archived versions are retained for each feed.

Is there trip-level Uber and Lyft data?

Yes. Chicago's Transportation Network Providers tables cover rides reported by Uber, Lyft, Via and other city-permitted fleets from November 2018 to present - the 2025-and-later table alone holds about 139 million trips with fares, tips, distance, shared-ride flags and census tracts. NYC publishes the high-volume for-hire equivalent within its TLC trip archive.

Does Datadory sell the underlying sources or add value on top?

Datadory delivers the records these publishers maintain - normalized schemas, documented fields, stable join keys, and sample rows before commitment. You get one contract across all four passenger ground transportation clusters instead of maintaining separate extractions for schedules, ridership, trip archives and behavioral surveys yourself.