Montréal, December 1, 2017. – Employment was up in Québec (+16,200; +0.4%) and in Canada (+79,500; +0.4%) in November. In Québec, the unemployment rate declined 0.7 points to 5.4% as the labour force contracted (-17,900). In Canada, it was down 0.4 points to 5.9%. These are the main findings of an analysis of employment and labour force data published by the Institut de la statistique du Québec, based on the results of the Labour Force Survey.1
Employment was up in the goods-producing sector (+19,600) and was little changed in the services-producing sector (-3,400).
Employment growth slightly higher in Québec than in Ontario and Canada in the first 11 months of 2017
In the first 11 months of 2017, employment was up 89,600 (+2.2%) in Québec compared with the same period in 2016. In Ontario, the number of jobs increased by 120,300 (+1.7%) over that period, while in Canada, employment was up 1.8% (+324,000). The employment rate was 60.9% in Québec (+0.9 points) and in Ontario (+0.2 points) and stood at 61.5% in Canada (+0.4 points).
Over the same period, the labour force rose by 48,700 people in Québec, 85,300 in Ontario and 219,500 in Canada. The participation rate increased in Québec (+0.3 points to 64.8%), but was little changed in Ontario (-0.1 points to 64.9%) and across Canada (+0.1 points to 65.8%).When comparing the first 11 months of 2017 to the same period in 2016, the number of unemployed individuals dropped in Québec (-40,800), in Ontario
(-34,900) and in Canada (-104,400). Over that period, the unemployment rate also decreased in Québec (-0.1 points to 6.1%), in Ontario (-0.6 points to 6.0%) and in Canada (-0.6 points to 6.4%).
1. Every month, the Institut de la statistique du Québec publishes the Résultats de l’Enquête sur la population active pour le Québec from data released by Statistics Canada. This document, available on the Institut’s website at 2 p.m., includes an in-depth analysis with tables and charts. The monthly estimates taken from the Labour Force Survey are based on a sample, and are thus subject to a certain variability that is all the more significant when these estimates are broken down by sex, age, region, industry, etc. Monthly estimates also show more variability than trends observed over longer periods of time.
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