AI Analysis: Railway industry employees and employee compensation, by major occupational group

Executive Summary

Canada's railway industry has undergone dramatic transformation over nearly four decades, with the workforce shrinking by 57.3% from 83,395 employees in 1986 to 35,604 in 2024, even as average annual compensation surged 222.6% to $111,232. Despite employing far fewer workers, total compensation still grew 37.7% to $3.96 billion, reflecting a leaner but significantly better-paid industry. Major structural shifts, economic shocks, and automation have all left measurable imprints on the data across occupational groups and company types.

Key Findings

• The railway workforce declined 57.3% over 39 years, falling from 83,395 average employees in 1986 to 35,604 in 2024, with the steepest single-year drop of -10.4% occurring in 2020, likely due to COVID-19.
• Average annual employee compensation more than tripled, rising 222.6% from $34,478 in 1986 to $111,232 in 2024, while average hourly compensation climbed 203.1% from $16 to $48 per hour.
• Total employee compensation still grew 37.7% — from $2,875 million to $3,960 million — meaning a dramatically smaller workforce is collectively earning significantly more than its 1986 counterpart.
• The years 1986, 1987, and 1988 are statistical outliers by IQR method, representing an era of workforce size far above the dataset norm, while multiple sharp declines in the 1990s (1990, 1994, 1995, 1996) point to a period of major industry restructuring.
• The 'Total major occupational group' category led all groups in 2024 with an average value of 37,711, while 'Equipment maintenance' ranked lowest at 26,339 — a gap of over 11,000 units or roughly 30%.
• The 2009 employment drop of -7.9% aligns with the global financial crisis, while unusually strong recovery years of +8.8% in 2018 and +7.7% in 2023 stand out as positive anomalies in the long-term decline trend.
• Average annual compensation ranges widely from ~$19,834 to $127,635 (median $55,237), and total compensation spans $655 million to $3,960 million, reflecting the dataset's highly skewed distributions across decades and occupational groups.