AI Analysis: Weekly wage distributions by type of work, monthly, unadjusted for seasonality

Executive Summary

Statistics Canada's Table 14100109 tracks weekly wage distributions across 855 data series spanning nearly 30 years (January 1997 to March 2026), revealing strong long-term employment growth and a heavily right-skewed wage distribution across industries, work types, and genders. Total employment grew by approximately 47.5% from 10,921K to 16,114K employees between 1997 and 2021, with full-time workers driving the majority of that gain. The dataset shows no statistically significant outliers, indicating steady structural growth punctuated by visible but contained dips during the 2008–2009 financial crisis and the 2020 COVID-19 pandemic.

Key Findings

• Total employment (full- and part-time combined) grew by ~47.5% over the study period, rising from 10,921K in January 1997 to 16,114K in May 2021, with full-time workers accounting for the largest absolute gain of ~4,771K employees.
• The dataset's overall mean value (447.8 thousand persons) is more than four times its median (100.7 thousand), confirming a strongly right-skewed distribution driven by high-value aggregate categories such as 'Total employees, all wages' across all industries.
• The 'Total employed, all industries' industry segment dominates the dataset with an average of 2,530.9 thousand persons, far exceeding any individual sector, while the 'Both full- and part-time employees' work type category averages the highest at ~1,482K persons.
• Part-time employees show considerably lower wage distribution values than full-time workers, with a mean of 158.6K versus 493.9K for full-time employees, and a median of just 29.2K compared to 139.3K — reflecting deep structural differences in weekly earnings.
• No IQR-based outliers were detected in the core time series, and no year-over-year changes exceeded a 10% anomaly threshold, indicating stable and gradual employment growth across the nearly 30-year period despite known economic shocks.
• The dataset covers 19 NAICS industry categories, 5 weekly wage brackets (including 'Less than $500' up to '$1,200 or more'), 3 work types, and 3 gender groups, yielding 855 unique data series that enable highly granular labour market analysis.
• Gender groups within the same type of work show high positive correlations in wage trends over time, while full-time and part-time categories display distinctly different wage patterns, highlighting both demographic alignment and structural labour market segmentation.