AI Analysis: Labour force characteristics by Montréal, Toronto and Vancouver census metropolitan areas, monthly, seasonally adjusted

Executive Summary

This Statistics Canada dataset (Table 14100460) tracks monthly seasonally adjusted labour force characteristics across Montréal, Toronto, and Vancouver from January 2011 to February 2026, spanning 96 unique time series and 182 monthly periods. All three cities experienced sustained employment growth over the period, though the COVID-19 pandemic caused a sharp but temporary disruption in 2020 — most notably driving Montréal's unemployment rate to a peak of 18.7% in April 2020. Vancouver led in employment growth (+37.6%), Toronto dominated in absolute labour force size, and all three cities largely recovered to or beyond pre-pandemic levels by the mid-2020s.

Key Findings

• Vancouver recorded the strongest employment growth of the three cities, rising 37.6% from approximately 1,221K to 1,681K workers between 2011 and 2026, while also achieving the lowest unemployment rate of the three cities at 5.8% by 2026.
• Toronto added the most workers in absolute terms — over 849K — growing its labour force by 26.2%, though its unemployment rate edged slightly upward from 8.3% to 8.5% over the same period.
• Montréal's unemployment rate improved by 11.1% (from 8.1% to 7.2%), while its unemployment count barely changed (+3%), suggesting its labour force efficiently absorbed new entrants without a significant rise in joblessness.
• The COVID-19 pandemic (spring 2020) represents the single largest structural break in the dataset, with Montréal's unemployment rate spiking to 18.7% in April 2020 — the highest value recorded across all three cities and the entire 15-year period.
• Despite the severity of the COVID-19 shock, no data points were flagged as extreme outliers under the strict 3×IQR statistical rule, indicating the disruption was broad enough to shift the entire distribution rather than appear as an isolated anomaly.
• Size-based labour force variables (Employment, Labour Force, Population) are strongly positively correlated as they grow together over time, while rate-based variables (Unemployment Rate vs. Employment Rate) show negative correlations — when one rises, the other tends to fall.
• Unemployment rates across the three cities ranged from a low of 3.8% to a high of 18.7% over the full period, with a median of 6.7%, while participation rates remained relatively stable between 60.4% and 70.1%, reflecting consistent long-term labour market engagement.