AI Analysis: Railway industry summary statistics on employment, by occupational categories and mainline companies

Executive Summary

Canada's railway industry has undergone dramatic structural transformation over nearly four decades, with the average workforce shrinking 59% from 77,202 employees in 1986 to 31,394 in 2024, even as average annual compensation more than tripled from $34,531 to $113,203. Despite far fewer workers, total employee compensation still grew from approximately $2.67B to $3.55B, as steep wage gains offset headcount reductions. The dataset — spanning 39 years, 8 occupational categories, and 3 mainline company groupings — provides a rich longitudinal record of this consolidation and productivity shift in Canadian rail.

Key Findings

• The average number of railway employees fell by 59%, dropping from 77,202 in 1986 to 31,394 in 2024, reflecting major workforce consolidation across Canada's mainline railway companies.
• Average annual employee compensation surged 228%, rising from $34,531 in 1986 to $113,203 in 2024, while average hourly compensation tripled from $16 to $48 over the same period.
• Total employee compensation grew from approximately $2.67B to $3.55B despite the sharp headcount decline, demonstrating that higher per-worker pay more than offset the reduction in workforce size.
• Service hours paid dropped from 169,343 to 73,215 thousand hours, consistent with the large reduction in total workforce, while average hours paid per employee rose modestly from 2,194 to 2,332 hours per year — suggesting remaining workers carry a heavier workload.
• Employment figures are highly right-skewed across the dataset: the average number of employees has a mean of 7,671 but a median of only 3,004, and total employee compensation ranges from $0 to over $3.5M, indicating a few large operations dominate the industry.
• Compensation-related variables — annual, hourly, and total employee compensation — are strongly positively correlated with each other, while workforce-size variables (average number of employees and service hours paid) follow a distinct pattern, diverging from compensation trends over time.
• Outlier detection identified specific years where year-over-year employment shifts exceeded ±5%, marking the most significant periods of workforce disruption across the nearly four-decade dataset.