AI Analysis: Manufacturers' sales, inventories, orders and inventory to sales ratios, by industry (dollars unless otherwise noted)

Executive Summary

Statistics Canada's Table 16100047 provides over 34 years of monthly Canadian manufacturing data (1992–2026), covering 333 NAICS industry classifications across 9 principal statistics including sales, inventories, and orders. Total manufacturing monthly sales averaged ~$32.2 billion with significant volatility, and the dataset reveals a heavily right-skewed distribution where a small number of large industries — particularly in petroleum, metals, and forestry — dominate aggregate values. Strong correlations between sales and new orders confirm that Canadian manufacturing production closely tracks demand, while 152 instances of extreme year-over-year swings (>30%) highlight the sector's sensitivity to major economic disruptions.

Key Findings

• Total manufacturing monthly sales averaged ~$32.2 billion (std: $6.3B) from 1992–2026, with Sales of Goods Manufactured growing +126.7% between January 1992 and November 1999 alone.
• The dataset is heavily right-skewed: the mean value ($589K) is nearly 7x the median ($83K), driven by large outliers — Total Inventory recorded the highest average ($1.01M) and maximum ($57.8M) of all categories.
• New Orders and Sales of Goods Manufactured track closely with similar means (~$757K and ~$748K respectively), confirming strong alignment between demand signals and production output across Canadian manufacturing.
• 152 instances of extreme year-over-year changes exceeding 30% were detected across industries, with commodity-linked sectors such as petroleum, metals, and forestry products identified as the most volatile.
• Inventory-to-sales ratios are tightly distributed on a separate scale (total inventory-to-sales mean: 1.62, range: 0.66–4.48), providing a distinct lens on manufacturing efficiency compared to absolute dollar metrics.
• The dataset spans 333 unique NAICS industry classifications and 2,637 unique time series vectors, enabling highly granular analysis across both seasonally adjusted and unadjusted forms.
• Major economic shocks — including the 2008–09 recession and the COVID-19 pandemic (2020) — are reflected as sharp statistical outliers (|Z-score| > 2.5) in the total manufacturing sales time series.