AI Analysis: Employment insurance beneficiaries by census metropolitan category, monthly, unadjusted for seasonality

Executive Summary

Statistics Canada's Table 14100453 tracks monthly Employment Insurance beneficiaries across Canada from January 2000 to February 2026, revealing two major economic shocks: the 2008–09 global financial crisis and the COVID-19 pandemic, which drove an unprecedented peak of 2,097,070 beneficiaries in January 2021 — 2.5 times the 26-year historical average of 839,137. As of February 2026, approximately 1,017,180 persons are receiving EI benefits, remaining elevated well above pre-pandemic norms. The dataset's four beneficiary categories are highly correlated, with 'All types of income benefits' dominating at an average of 839,137 persons per month, while 'Regular benefits with declared earnings' is the smallest sub-category at just 73,057 on average.

Key Findings

• The all-time peak of 2,097,070 EI beneficiaries occurred in January 2021 (z-score of 5.10), driven by COVID-19 emergency EI expansions — 2.5 times the long-run historical average.
• All 13 statistically significant outliers identified in the dataset were concentrated in the COVID-19 era (early 2020 to mid-2021), underscoring the pandemic's unprecedented impact on Canadian employment.
• 'All types of income benefits' is the largest category with a mean of 839,137 persons and a maximum of 2,097,070, while 'Regular benefits with declared earnings' is the smallest, averaging just 73,057 persons per month.
• Despite the January 2021 peak, the lowest recorded value of 345,420 beneficiaries occurred just months earlier in September 2020, illustrating extreme within-year volatility during the pandemic.
• The most recent data point (February 2026) shows approximately 1,017,180 EI beneficiaries — roughly 3 times the September 2020 low but well below the January 2021 pandemic peak.
• The overall value range spans more than 2 million persons (16,310 to 2,097,070), with a standard deviation of 337,201, reflecting substantial variation driven by seasonal cycles, recessions, and the COVID-19 shock across 26 years of data.
• A secondary, smaller spike around 2008–09 corresponding to the global financial crisis is visible in the trend data, confirming the dataset's sensitivity as an economic stress indicator across multiple recessionary periods.