AI Analysis: Milled wheat and wheat flour produced, quarterly (x 1 000)
Category: culture
Executive Summary
Statistics Canada's quarterly dataset (Table 32100479) tracks 14 categories of milled wheat and wheat flour production across Canada from Q1 2025 to Q1 2026, revealing a highly right-skewed distribution where total wheat milled consistently dominates at an average of ~861,000 metric tonnes per quarter. Production volumes vary enormously across categories — from as low as 12,000 to as high as 888,000 metric tonnes — yet the top-line totals remain remarkably stable with minimal quarter-over-quarter volatility. The data provides a reliable recent snapshot of Canadian industrial wheat milling, with no statistical outliers detected in the primary aggregate series.
Key Findings
- Total Wheat Milled is the dominant category, averaging 860,600 metric tonnes per quarter with a standard deviation of only 20,000, indicating exceptionally stable production levels across all 5 quarters.
- The dataset's mean value of 232,100 metric tonnes is more than double the median of 91,500, confirming a strongly right-skewed distribution driven by a small number of high-volume categories.
- Production values span a wide range of 876,000 metric tonnes — from a minimum of 12,000 ('Other wheat flour produced') to a maximum of 888,000 — reflecting the vast difference between niche and dominant product types.
- The interquartile range of 335,800 metric tonnes (Q1: 49,200; Q3: 385,000) highlights that even the middle 50% of production values are broadly spread across the 14 categories.
- No data points exceeded the ±1.5 standard deviation threshold in the Total Wheat Milled series, confirming no notable outliers and a highly consistent quarterly production pattern.
- The standard deviation of 267,600 across all categories exceeds the mean of 232,100, underscoring the high variability in production volumes between wheat input and flour output categories.
- Correlation analysis across all 14 product types reveals both strong positive relationships — where paired categories rise and fall together — and inverse relationships, reflecting the interconnected dynamics of wheat inputs and flour/millfeed outputs in the milling process.
This AI-generated analysis covers 8 analytical sections of Statistics Canada Table 32100479.
Source: Statistics Canada — Open Government Licence Canada