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Data from U.S. Bureau of Transportation Statistics (BTS), delivered clean.

1 dataset pulled from U.S. Bureau of Transportation Statistics (BTS)'s releases, checked field by field and shipped the way you want them — daily, weekly, or hourly, your call.

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  • 1 industry
  • Real rows on request

What Datadory delivers from U.S. Bureau of Transportation Statistics (BTS)

1
Passenger Airlines United States domestic network for on-time re… · Airline On-Time Performance October 1987 to t…

BTS TranStats - Air Carrier Statistics (T-100) & Airline On-Time Performance

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Name any U.S. Bureau of Transportation Statistics (BTS) dataset and we send real rows from it — not a screenshot of rows. 1,744 datasets. Pick your catch.

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Straight answers about U.S. Bureau of Transportation Statistics (BTS) data

What is the T-100 database?

The air-carrier traffic ledger certificated U.S. airlines report monthly under Form 41 Traffic: passengers, freight and mail moved per segment, with aircraft type, service class, seats and available capacity attached. Analysts use it for load factors, market share and route economics, and the market variant rolls segments up to carrier-market-month totals.

What is the difference between T-100 segment and market files?

Segment files key each row to a nonstop segment - one aircraft leg with its own equipment and service class. Market files roll journeys up to origin-destination level per carrier and month, so connecting itineraries collapse into one record. Route economics usually wants market files; capacity and utilization work wants segments.

Does the on-time series cover every U.S. airline?

No. Per-flight rows cover carriers accounting for at least one percent of domestic scheduled passenger revenues, so very small commuters can appear in aggregate T-100 traffic while missing from the flight-level record. It is the one caveat to check before building a delay study on small carriers.

Can I get just one carrier's or one route's history?

That is the default shape of a delivery. Name the carriers, airport pairs or years and the extract arrives cut exactly to that scope - one airline's four decades, a single hub's arrivals, or a competitive set's capacity month by month - with the complete field dictionary riding along.