Pricing

Tickets

Tickets data includes historical records dating back to 2003, allowing you to run long-horizon trend analysis, build demand forecasting models, and evaluate market evolution over more than two decades of aviation activity.

• Coupon — The most granular view of passenger demand. Each record represents a single flight coupon on a passenger itinerary, providing route-level detail on origin, destination, operating carrier, reporting carrier, and miles flown. Ideal for analysts studying true O&D flow, multi-segment routing, and carrier market dynamics.
• Market — Summarized O&D market data with directional origin–destination pairs, fares, passengers, and distance traveled. Best suited for modeling average fares, competition across markets, and elasticity studies.

Traffic

Traffic data includes historical records dating back to 1990, enabling comprehensive long-term trend analysis, the development of robust demand forecasting models, and the assessment of market evolution across more than three decades of aviation activity.

• Domestic & International Market — Summarized passenger, freight, and mail traffic for each carrier on each nonstop segment. Provides an aggregated view of airline performance across routes and geographic regions, covering both U.S. and international operations.
• Domestic & International Segment — Flight-segment–level operations data describing aircraft movements, seats, departures performed, available seat-miles, and load factors. Critical for capacity planning, route profitability studies, and benchmarking.

Performance

Performance data includes historical records dating back to 1990, providing a comprehensive view of airline on-time performance across more than three decades of scheduled domestic operations.

• Route — Aggregated on-time performance metrics for a single origin–destination pair. Returns flight counts, delay and cancellation totals, average delay minutes, on-time percentages, and taxi and air time summaries. Ideal for benchmarking reliability on specific routes or tracking seasonal patterns.
• Breakdown — Grouped performance analytics sliced by carrier, airport, cancellation reason, day of week, or distance band. Best suited for identifying which carriers, routes, or operating conditions drive the most delay, and for building comparative reliability analyses across the network.