AI Analysis: Gross domestic product (GDP) at basic prices, by industry, monthly

Executive Summary

Canada's monthly GDP dataset (Statistics Canada, Table 36100434) spans nearly three decades from 1997 to 2026, tracking 249 industry categories across 335 months and revealing an 84.8% expansion in total GDP from $1.27 trillion to $2.34 trillion. Services-producing industries drove the majority of this growth, more than doubling over the period, while the only statistically significant disruptions in the entire dataset were concentrated in the five months surrounding the COVID-19 pandemic in 2020. The data distribution is heavily right-skewed, with a mean GDP value of $35,406M versus a median of just $4,636M, reflecting the outsized weight of a small number of large aggregate industries.

Key Findings

• Total Canadian GDP grew 84.8% over the study period, rising from $1.27 trillion in mid-1998 to $2.34 trillion in March 2026 in chained 2017 dollars.
• Services-producing industries were the dominant growth engine, expanding 104.9% from $860B to $1.76 trillion and now accounting for the vast majority of Canadian GDP, while Goods-producing industries grew a more modest 46.4%.
• The COVID-19 pandemic produced the only statistically significant outliers in 28 years of data, with April 2020 recording the largest single-month GDP decline at -10.66%, followed by the largest monthly rebound of +5.92% in June 2020.
• The dataset's distribution is strongly right-skewed, with a mean of $35,406M versus a median of $4,636M and a standard deviation of $156,913M — more than four times the mean — driven by high-level aggregates reaching up to $2.35 trillion.
• Most Canadian industries move in tandem, with an average pairwise correlation of 0.66, though notable exceptions exist such as the weak negative correlation (-0.281) between Aerospace Product & Parts Manufacturing and Federal Government Public Administration.
• The strongest industry co-movement (correlation of 0.993) was found within Administrative and Support Services sub-categories, indicating these segments respond almost identically to economic conditions.
• Outside of the five COVID-related months in 2020, no other period in nearly three decades of data exceeded the 2.5 standard deviation anomaly threshold, underscoring the exceptional and unprecedented nature of the pandemic's economic shock.