Montréal, April 7, 2017. – In March, employment varied little in Québec (+2,400; +0.1%) and in Canada (+19,400; +0.1%). The unemployment rate remained stable in Québec 6.4%, while it rose by 0.1 points to 6.7% in Canada. 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 findings of the Labour Force Survey1.
Employment was unchanged in the services (–1,000) and goods (+3,500) sectors.
Compared to March 2016, there were 96,600 more jobs in Québec (+2.4%) and 276,400 more in Canada as a whole (+1.5%).
Employment up in the first quarter of 2017In the first quarter of 2017, employment increased in Québec (+10,500; +0.3%) in comparison with the fourth quarter of 2016. This followed a rise in the fourth (+44,400) and third (+29,300) quarters of 2016. This variation was observed for both full-time (+6,300) and part-time (+4,200) jobs.
In the first quarter of 2017, employment was up in the services sector (+18,700; +0.6%), but down in the goods sector (–8,200; –1.0%).
In Ontario and Canada, employment increased at the same rate (+0.5%) from the fourth quarter of 2016 and the first quarter of 2017.
Compared with the fourth quarter of 2016, Québec’s unemployment rate declined in the first quarter of 2017 by 0.2 points to 6.3%. This is the same rate as in Ontario (stable at 6.3%), though it is lower than that for Canada (–0.2 points to 6.7%). The employment rate was 60.7% (+0.1 points) in Québec, 60.9% (+0.1 points) in Ontario and 61.4% (+0.1 points) in Canada. The participation rate remained stable in Québec (64.8%) and Canada (65.8%), but increased by 0.1 points in Ontario (65.0%).
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 disseminated by Statistics Canada. This document, available on the Institut 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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