AI Analysis: Operating and financial statistics for major Canadian airlines, monthly

Executive Summary

Statistics Canada's Table 23100079 provides 44 years of monthly operating and financial data for major Canadian airlines (1981–2025), tracking 11 key metrics across 4,648 records that reveal long-term growth in capacity, revenues, and passenger demand. Total operating revenues averaged $934 million per month while load factor held remarkably steady at 78%, indicating sustained operational efficiency despite major disruptions. The most significant anomaly in the dataset is the COVID-19 pandemic, which caused a 71% collapse in passenger numbers in 2020, while a separate cargo outlier in October 1998 produced the most extreme statistical deviation recorded (z-score of 12.58).

Key Findings

• Total operating revenues averaged $934 million per month — the highest financial metric tracked — while total operating expenses averaged $479 million monthly over the 44-year period.
• Available seat-kilometres averaged 18.3 billion (thousands) per month, reflecting decades of substantial capacity expansion by major Canadian carriers.
• Load factor remained consistently efficient, averaging 78% across all 540 monthly periods from 1981 to 2025, indicating stable seat utilization over the long term.
• COVID-19 caused a 71% drop in passenger numbers from 2019 to 2020, with April 2020 recording an all-time low of just 213 passengers, compared to the all-time high of 8,463 in August 2018.
• The most extreme statistical outlier in the dataset is Goods tonne-kilometres in October 1998, with a z-score of 12.58, suggesting an extraordinary and isolated cargo event far outside historical norms.
• Passenger-kilometres averaged 7.97 billion (thousands) per month, and strong positive correlations exist between passenger volumes, available seat-kilometres, and revenue metrics, confirming that capacity and demand move in tandem.
• A total of 8 notable outliers were identified across all metrics, with Turbo fuel consumed accounting for 3 of them, likely tied to major operational shifts or fuel crisis periods.