#1
Mobility Database - Global GTFS & GTFS-Realtime Feed Catalog
- Coverage
- Worldwide
Industry hub · Passenger ground transportation data provider
Passenger Ground Transportation Data Provider
Datadory covers passenger ground transportation data provider with 14 datasets spanning Mobility Database - Global GTFS & GTFS-Realtime Feed Catalog , National Transit Database (NTD) Monthly & Annual Ridership Datasets and NYC TLC Trip Record Data (Yellow/Green Taxi & FHV/HVFHV Uber/Lyft) . Delivered daily, weekly, or hourly — your call.
14 datasets 10 publishers Delivery: API, files, or your warehouse. Daily, weekly, or hourly.
The manifest
Every catch in this slice, ranked by our quality rubric — depth of documentation, freshness, breadth. Pick one, sample it, ship it.
#2 Federal Transit Administration
National Transit Database (NTD) Monthly & Annual Ridership Datasets
- Coverage
- United States - all reporting transit agencies, keyed to…
#3 NYC Taxi & Limousine Commission
NYC TLC Trip Record Data (Yellow/Green Taxi & FHV/HVFHV Uber/Lyft)
- Coverage
- New York City, coded as TLC Taxi Zones (258 zones) plus…
#4 Transport for London
TfL Open Data & Unified API
- Grain
- Per-vehicle predictions at stop level
- Coverage
- Greater London and surrounding TfL service area
#5
National Household Travel Survey (NHTS)
- Coverage
- United States, nationally representative address-based…
#6 City of Chicago
Chicago Transportation Network Providers Trips (Uber/Lyft/Via)
- Coverage
- City of Chicago plus surrounding region
Plus 8 more in this slice — each with its field dictionary and sample rows on its own page.
The lay of the water
Where passenger ground transportation data provider data actually comes from.
Pick your catch
Three to start with. The rest of the board is above.
Passenger ground transportation data provider Worldwide · Living catalog
Mobility Database - Global GTFS & GTFS-Realtime Feed Catalog
id · data_type · entity_type …+13 more
Passenger ground transportation data provider United States - all reporting transit… · Monthly observations January 2002…
National Transit Database (NTD) Monthly & Annual Ridership Datasets
ntd_id · agency · mode …+11 more
Passenger ground transportation data provider New York City, coded as TLC Taxi Zones… · Yellow: 2009-01 to 2026-05
NYC TLC Trip Record Data (Yellow/Green Taxi & FHV/HVFHV Uber/Lyft)
VendorID · tpep_pickup_datetime · tpep_dropoff_datetime …+30 more
Passenger ground transportation data provider Greater London and surrounding TfL… · Predictions current at delivery
TfL Open Data & Unified API
naptanId · stationName · lineId …+6 more
Passenger ground transportation data provider United States, nationally… · Nine survey waves 1969-2022
National Household Travel Survey (NHTS)
HOUSEID · PERSONID · TRIPID …+13 more
Passenger ground transportation data provider City of Chicago plus surrounding region · 2018-11 to present
Chicago Transportation Network Providers Trips (Uber/Lyft/Via)
trip_id · trip_start_timestamp · trip_end_timestamp …+21 more
Passenger ground transportation data provider All U.S. states, counties, places… · Annual since 2005
American Community Survey - Journey to Work / Commuting Data
B08301_001E · B08301_003E · B08301_004E …+5 more
Passenger ground transportation data provider Metropolitan Transportation Authority… · 2020-03-01 to present
Metropolitan Transportation Authority
date · mode · count …+1 more
Passenger ground transportation data provider EU27 member states plus EFTA countries… · tran_hv_psmod: 1990 through 2024, annual
Eurostat Passenger Transport Statistics (tran_hv_psmod / rail_pa)
freq · unit · vehicle …+3 more
Passenger ground transportation data provider Great Britain (England · Statistics: annual editions 2004-05…
UK Bus Statistics & Bus Open Data Service (BODS)
Year ending March · passenger_journeys · concessionary_journeys …+9 more
Passenger ground transportation data provider City of Chicago plus surrounding region · 2013-01 to 2023-12 (historical series)
Chicago Taxi Trips
trip_id · taxi_id · trip_start_timestamp …+20 more
Passenger ground transportation data provider City of Chicago and the CTA service… · 2001-01-01 to present
CTA Ridership - Daily Boarding Totals
service_date · day_type · bus …+3 more
Passenger ground transportation data provider United States - both land borders at… · 1996 through July 2026 depending on…
BTS Open Data Portal - Passenger Travel Collection
port_name · state · port_code …+9 more
Passenger ground transportation data provider United States - city, county, regional… · Continuously harvested catalog with…
Data.gov GTFS Catalog
title · description · organization …+6 more
Who fishes here
Six personas work this shelf, and each gets a dedicated page:
- Competitive Intelligence & Product Teams Passenger ground transportation data for competitive intelligence and product teams starts with Chicago Transportation Network Providers Trips, the only relevance-3 source here, because mandated Uber, Lyft and Via filings expose per-trip fares daily.
- Data Scientists & ML Engineers Passenger ground transportation data for data scientists starts with the NYC TLC trip records, the National Transit Database and the Mobility Database's GTFS catalog.
- Developers & Data-Product Builders
- Investors & Quant Researchers
- Market Researchers & Consultants
Frequently asked questions
Where does trip-level taxi and ride-hail data come from?
From city regulatory reporting, cataloged end to end. New York's Taxi & Limousine Commission ledger covers yellow cabs from January 2009, green cabs from 2013, for-hire vehicles from 2015 and the high-volume Uber/Lyft class from 2019 across 258 zones. Chicago's tables add about 1.7 billion taxi rows for 2013-2023 and ride-hail trips from November 2018 onward.
Which dataset tracks US transit ridership by agency every month?
The National Transit Database monthly module, the Federal Transit Administration's Congressionally mandated census. It holds roughly 370,000 agency-mode-month rows across 834 agency IDs from January 2002, reporting unlinked passenger trips, vehicle revenue miles and hours, and peak vehicles, with about 900-plus agencies filing annually. Datadory delivers it as a keyed panel ready for trend work.
Is there a global directory of GTFS transit feeds?
Yes - the Mobility Database catalog indexes 6,487 feeds, 4,523 GTFS Schedule and 1,964 GTFS-Realtime, across 94 countries, each record documenting provider, geography, bounding box, lifecycle status and validation detail. For United States coverage specifically, the Data.gov GTFS Catalog sweeps roughly 90 matching records out of the 552,000-record federal index. Both ship in Datadory's catalog with field dictionaries attached.
How far back does US travel behavior microdata go?
To 1969. The National Household Travel Survey and its predecessors span nine waves - most recently 2022, whose public-use core carries 7,893 households, 16,997 persons, 14,684 vehicles and 31,074 weighted trip records. The American Community Survey complements it with commuting mode-share tables and county-to-county worker flows annually since 2005, reaching block groups in 5-year releases.
Can I compare US and European passenger transport trends in one analysis?
Yes, by joining at country-year and agency-period grains. Eurostat's tran_hv_psmod series benchmarks car, bus, rail and walking modal shares across 37 European geographies annually from 1990, while the NTD panel covers United States agencies monthly since 2002. Britain's accredited bus statistics add patronage histories reaching back to 1950, giving three regions on comparable definitions.
How current are the ridership series in the catalog?
Current to the research pass: the MTA nine-mode daily series is observed through August 19, 2026, CTA boardings through late June 2026, the NTD monthly module through June 2026, TLC trip files through spring 2026, and border-crossing entries through July 2026. Coverage statements listing exact observed dates ship with every sample, so staleness is something you verify rather than assume.
See the rows before you commit
Any catch on this board, sampled against your own question. API, files, or your warehouse. Daily, weekly, or hourly..