Gunness & Assocaites | Canadian Immigration specialists in Ontario

Ontario issued 2,359 targeted Notifications of Interest via the Human Capital Priorities Stream On December 14, 2023, the Ontario Immigrant Nominee Program (OINP) conducted an invitation draw under the Human Capital Priorities Stream. The OINP issued 2,359 targeted Notifications of Interest (NOIs) to tech professionals with work experience in 15 National Occupational Classification (NOC) codes.  Invited candidates' comprehensive ranking system (CRS) Express Entry score was between 473 and 480 points. This year, the province has invited 17,502 candidates through fourteen Express Entry Human Capital Priorities Stream draws.  In 2023, Ontario issued 41,923 invitations under all streams of OINP . Candidates were only notified if they had a comprehensive ranking system (CRS) score of 473-480 and work experience in the following national occupational codes (NOCs): NOC 20012 - Computer and information systems managers NOC 21211 - Data Scientists NOC 21220 - Cyber Security specialists NOC

  Ottawa held the largest healthcare-targeted Express Entry draw of 2023 On October 26, 2023, Immigration, Refugees and Citizenship Canada (IRCC) held a new occupation-specific Express Entry draw and issued 3,600 Invitations to Apply (ITA) to candidates working in healthcare occupations.  In round #271, the cut-off score was 431 points, 32 points fewer than in the previous healthcare-targeted Express Entry draw.  The tie-breaking rule for this round was May 24, 2023, at 19:47:51 UTC.  As of October 23, 2023, there were 214,873 profiles registered in the Express Entry pool.  As a candidate, you can work with an immigration specialist. Fill out the form to Get an assessment from an experienced and licensed immigration consultant. This year, Canada issued 95,221 ITAs in 35 Express Entry draws. Eligible Occupations For Healthcare-targeted Express Entry Draw  The following list has the 35 occupations that are eligible for invitations to the Express Entry round of the 2023 category-based r