With the Segment Summary report, depicted in Figure 1, airlines can clearly distinguish segment performance and ascertain the sources of traffic. This report presents data aggregated at the segment level and does not include specific flight and aircraft details.
Table 1 below outlines the data structure, with the granularity of the data metrics defined by the combination of fields with a key icon (
).
| Field | Description |
AL ![]() | Operating Airline |
Org ![]() | Origin Airport |
Dst ![]() | Destination Airport |
| Segment | Origin-Destination Airport Pair |
| Miles | Segment Distance |
| Departures | Number of departures in the target month |
| Seats | Total seat count in the target month |
| Block_hours | Total block hours in the target month |
| Seat_Factor | Total passenger count / total seat count |
| Pax | Total passenger count in the target month |
| Local_Pax | Total passengers in the local market (segment origin and destination match the market origin and destination) |
| Revenue | Total revenue in USD prorated to the current segment |
| Local_Rev | Total revenue in USD from the local traffic |
| OD_Rev | Total revenue derived from Origin-Destination (OD) trips, encompassing earnings from both the current segment as well as any connecting segments |
| Fare | Average fare prorated to the current segment |
| Local_Fare | Average fare in the local market |
| Cost | Total segment cost in the target month |
| Other_Revenue | Other revenue (e.g., ancillary fees, cargo revenue, fuel surcharge) from the segment in the target month |
| Profit | Total profit in the target month |
| ASM000 | Available Seat Miles in thousand |
| RPM000 | Revenue Passenger Miles in thousand |
