This monthly update to the Employment Prospect Series provides an overview of job opportunities in the Niagara region. These jobs are categorized into the level of education that is typically required for these jobs; this definition is based on Statistics Canada’s 2016 National Occupational Classification matrix.1
This update outlines available online job posts for the five weeks following the November Employment Prospect Series blog which covered November 1-28, 2020. Specifically, the December data show new jobs posted between November 29, 2020 and January 2, 2021. As a note, as of June 2020, NWPB changed data sources for job aggregation tools. Thus, these data should not be directly compared to reports prior to June.
Table 1 outlines the top occupation categories that were posted and their level of required education.
Table 2 outlines the number of jobs that existed in Niagara for each of these top occupations and the estimated hourly wage ranges for 2019. As these data are from 2019, they do not reflect any changes or impacts from COVID-19. Hourly wages below minimum wage likely reflect part-time work as our data source uses average annual incomes to produce its hourly estimates.
Table 3 outlines the top 10 skills listed in online job posts by level of education required.
All previous monthly reports are available on NWPB’s website. NWPB also produces quarterly reports alongside our monthly reports. The quarterly reports provide provincial-level benchmarks for job counts and trends of job growth and decline. It is our hope that these reports will support Niagara’s residents who are looking to enter the workforce or grow their career. If there is a specific occupation of interest to you, or if you have a question beyond the data represented in this report, please contact our CEO, Vivian Kinnaird, or visit our website: nwpb.ca
1 http://cnp.edsc.gc.ca/English/NOC/Matrix2016.aspx?ver=06%u2282%3D0
We are collecting data to better understand who is looking for work and what kind of opportunities jobseekers are searching for. This data is completely anonymous and non-personally identifiable.
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