Montréal, October 7, 2016 – In September, employment rose in Québec (+38,300; +0.9%) and Canada (+67,200; +0.4%). The unemployment rate dropped 0.2 points in Québec (6.9%) and remained unchanged in Canada (7.0%). This is the first time since January 2008 that the unemployment rate was under 7% in Québec. These are the main findings of an analysis of the employment and labour force data published by the Institut de la statistique du Québec from the results of the Labour Force Survey1 made public today by Statistics Canada.
Employment was up mainly in the services-producing sector (+33,500), though there was little change in the goods-producing sector (+4,800).
Compared with September 2015, employment rose by 60,600 in Québec (+1.5%) and by 138,800 in Canada as a whole (+0.8%).
Employment up in the third quarter of 2016
Employment rose in Québec (+23,100; +0.6%) in the third quarter of 2016, though it varied but little in the first and second quarters of the year. This increase was solely in part-time work (+22,300); full-time work remained stable.
In the third quarter of 2016, the services-producing sector recorded an increase in employment (+26,200; +0.8%), while the goods-producing sector varied little (–3,000; –0.4%).
Unlike Québec, employment in Ontario dropped (–0.3%) and changed little in Canada (+0.1%) between the second and third quarters of 2016.
Compared with the second quarter of 2016, Québec’s unemployment rate dropped 0.2 points to 7.0% in the third quarter of 2016. This rate was higher than that of Ontario (–0.1 points to 6.6%), but identical to that of Canada (stable at 7.0%). The employment rate was 59.9% (+0.2 points) in Québec; it stood at 60.4% (–0.4 points) in Ontario and 60.9% (–0.2 points) in Canada. The participation rate was 64.5% (+0.1 points) in Québec compared to 64.7% (–0.5 points) in Ontario and 65.5% (–0.2 points) in Canada.
1. « 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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