AI Analysis: Commercial and industrial machinery and equipment rental and leasing services price index, monthly

Executive Summary

Statistics Canada's Table 18100280 tracks the monthly price index for Commercial and Industrial Machinery and Equipment Rental and Leasing Services across Canada from July 2006 to December 2025, covering three NAICS subcategories benchmarked to 2020=100. Over nearly two decades, the index has shown moderate but consistent price growth, with an overall mean of 106.6 and a range of 96.9 to 117.2, reflecting steady upward pressure in this sector since the base year. The data is highly stable with minimal outliers, and all three subcategories move in close alignment, suggesting shared economic drivers across the rental and leasing industry.

Key Findings

• The price index spans 234 monthly periods from July 2006 to December 2025, yielding 690 valid data points across three NAICS subcategories with an overall mean of 106.6 and median of 106.6, indicating a highly symmetric distribution.
• The total index range is 20.3 points (96.9 to 117.2), with a standard deviation of 4.47, reflecting moderate but contained variability over the nearly 20-year period.
• Construction, Transportation, Mining and Forestry Equipment Rental and Leasing recorded the highest average index (107.17) and the widest spread (std: 4.65), peaking at 117.2 — the highest value in the entire dataset.
• Office and Other Commercial and Industrial Machinery had the lowest average index (105.65) and the narrowest spread (std: 4.19), ranging from 99.6 to 116.3, indicating relatively more stable pricing.
• Only 2 outliers were detected using the Z-score method (|Z| > 2), and the IQR method flagged none (bounds: 92.1–120.9), confirming the dataset is remarkably stable with no extreme price disruptions over the full period.
• All three NAICS categories are anchored above the 2020=100 baseline for most of the observed period, confirming a long-term trend of price growth in commercial and industrial equipment rental and leasing services.
• The strong co-movement expected among all three categories — given their shared sector and economic drivers — suggests that broad macroeconomic conditions, rather than category-specific factors, are the primary influence on price index trends in this dataset.