Montréal, October 6, 2017. – Employment was little changed in Québec (-7,600; -0.2%) and in Canada (+10,000; +0.1%) in the month of September. The unemployment rate varied little in Québec (-0.1 points to 6.0%) and remained stable in Canada (6.2%). 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 findings from the Labour Force Survey.1
Employment held steady in the goods sector (-3,100) and the services sector -4,600).
Since September 2016, the number of jobs has increased by 53,500 in Québec (+1.3%) and by 319,700 in Canada as a whole (+1.8%).
Employment up in the third quarter of 2017
In the third quarter of 2017, employment grew in Québec (+22,000; +0.5%). This increase followed gains of 13,500 in the second quarter and of 10,500 in the first quarter of 2017. Most of the gains in the third quarter were in full-time employment (+38,200).
Employment was up mostly in the services-producing sector (+18,300; +0.5 %) in the third quarter of 2017.
Just like in Québec, employment rose in Canada (+0.4%) and in Ontario (+0.9%) between the second and third quarters of 2017.
Compared with the previous quarter, Québec’s unemployment rate was down 0.2 points to 6.0% in the third quarter of 2017. This rate was slightly higher than that of Ontario (-0.4 points to 5.8%), but lower than that of Canada (-0.3 points to 6.2%). The employment rate was 61.0% (+0.2 points) in Québec, 61.0% (+0.3 points) in Ontario and 61.6% (+0.1 points) in Canada. The participation rate was stable in both Québec (64.8%) and Ontario (64.7%), but declined in Canada(-0.1 points to 65.7%).
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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