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Almost half of Toronto-area immigrant settlement services expect program closures
A survey found 44% of GTA newcomer agencies expect program closures and 68% foresee layoffs, with about 310 job losses due to a $317.3 million federal funding cut.
- A survey of 48 GTA newcomer agencies finds 44 expect closures and 56 anticipate disruptions due to federal funding cuts starting in 2024, according to the report.
- The report says the cuts stem from a three‑year $317.3 million reduction in IRCC funding that began in 2024 and notes it excludes other 2025‑26 cuts.
- The survey warns that staffing is at risk, finding 68 agencies anticipate layoffs between now and 2028 and predict about 310 jobs will be lost, with language trainers affected.
- Procyk said demand is outpacing capacity, warning `The important part of this is that newcomers and immigrants are not going to get the critical services they need, Procyk said` as wait times and burnout increase due to funding cuts.
- A large asylum backlog coincides with the Immigration and Refugee Board backlog of about 300,000 asylum claims as of Dec. 31, 2025, while post‑pandemic arrival trends mean fewer newcomers and smaller settlement budgets.
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Winnipeg Free Press+26 Reposted by 26 other sources
Almost half of Toronto-area immigrant settlement services expect program closures
Breaking News, Sports, Manitoba, Canada
·Winnipeg, Canada
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Close to 50% of Toronto-area immigrant agencies anticipate programme cuts - The Canadian Media
Toronto/IBNS-CMEDIA: Nearly half of immigrant settlement service organisations in the Greater Toronto Area say they may be forced to close programmes as federal funding reductions strain resources that help newcomers settle in Canada, reported The Canadian Press. The warning follows a recent survey of local agencies providing services such as language training, employment assistance and housing support, highlighting concerns about service disrup…
Coverage Details
Total News Sources29
Leaning Left19Leaning Right0Center5Last UpdatedBias Distribution79% Left
Bias Distribution
- 79% of the sources lean Left
79% Left
L 79%
C 21%
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