AI Analysis: Historical (real-time) releases of monthly retail trade, sales

Executive Summary

Canadian monthly retail trade sales grew 38.9% from $50.4B in January 2017 to $70.0B in December 2025, with the only major disruption being a sharp pandemic-driven drop to $37.5B in April 2020. The dataset spans 30 NAICS retail categories across 36 real-time release snapshots, enabling both sector-level and revision-based analysis. Most retail sectors move in strong positive correlation with one another, reflecting broad macroeconomic drivers across the Canadian retail landscape.

Key Findings

• Total Canadian retail sales (seasonally adjusted) grew 38.9% over the study period, rising from ~$50.4B in January 2017 to ~$70.0B in December 2025, with a peak of $70.4B in November 2025.
• The most significant anomaly in the dataset is April 2020, when retail sales collapsed to $37.07B — the lowest point in the entire 2017–2025 series — due to COVID-19 pandemic lockdowns.
• The dataset covers 30 distinct NAICS retail industry categories, with sales values ranging widely from ~$42 million to ~$76.5 billion per month, reflecting the vast difference between niche sub-sectors and total retail trade.
• The distribution of sales values is strongly right-skewed: the mean of $5.85B is more than double the median of $2.35B, with the middle 50% of values concentrated between $1.06B and $6.70B.
• No statistical outliers were detected using IQR-based bounds ($32.9B–$89.0B), and no month-over-month change exceeded the 10% extreme threshold outside of the COVID-19 period.
• Most of the 30 NAICS retail categories exhibit high positive correlations with one another, indicating that Canadian retail sectors broadly rise and fall together in response to shared economic conditions.
• The dataset includes 36 distinct release snapshots from March 2023 to February 2026, enabling analysis of how Statistics Canada revised its retail trade estimates over time — a key feature for real-time data research.