AI Analysis: Renewable fuel plant statistics, supply and disposition, monthly

Executive Summary

Statistics Canada's Table 25100082 tracks monthly renewable fuel plant activity across Canada from January 2020 to December 2025, covering 10 product types and 7 supply/disposition categories across 3,600 valid data points. The dataset is strongly right-skewed — with a mean of 71,745 versus a median of 20,127 — driven by a few very high-volume categories, particularly Receipts and Inputs, which average roughly 199,000 and 198,000 units respectively. Overall, the data reveals a well-balanced renewable fuel supply chain with closely matched Production and Shipments volumes, minor losses, and a small number of statistically notable outliers concentrated in feedstock categories.

Key Findings

• The dataset spans 72 monthly periods (January 2020 – December 2025), containing 3,600 valid data points across 53 unique product × supply/disposition time-series combinations.
• Receipts and Inputs dominate the supply chain with the highest average monthly values (~199,212 and ~197,851 respectively), while Losses and Adjustments are negligible at a mean of just 87.
• Production and Shipments are nearly equal in both mean (~105,400) and median (~114,000), indicating a tightly balanced flow between renewable fuel production and distribution.
• The distribution is strongly right-skewed — the mean (71,745) is more than 3× the median (20,127) — with an IQR of 108,492 reflecting high variability across product types and time periods.
• 290 data points (about 8% of records) carry negative values, all attributable to the 'Losses and Adjustments' category, with the most extreme negative value of -5,890 recorded in May 2020, possibly linked to COVID-19 disruptions.
• 83 statistical outliers (2.3% of data) were identified using a Z-score threshold of |Z| > 2.5, with the single highest value being 531,873 metric tonnes in August 2024 for total renewable fuel plant feedstocks under Receipts.
• Beginning and Ending Stocks are nearly identical across all summary statistics, consistent with the expected accounting relationship where one period's ending stock becomes the next period's beginning stock.