US Edition
Eliminating Interprovincial Trade Barriers Would Add 30K Annual Housing Starts: CMHC
CANADA, JUL 17 – Eliminating trade barriers could raise annual housing starts to nearly 280,000, addressing 15% of the housing supply gap over the next decade, CMHC reports.
- On July 17, 2025, Canada Mortgage and Housing Corp. reported that eliminating interprovincial trade barriers could add 30,000 annual housing starts, pushing totals near 280,000 over time.
- This analysis follows Prime Minister Mark Carney's spring election campaign focus and the passage of Bill C-5, which reduces federal trade restrictions and speeds permitting for infrastructure projects.
- The report cites barriers preventing resource and labor movement in residential construction, with nearly half of firms blaming distance and transportation costs for limited interprovincial sourcing.
- CMHC chief economist Mathieu Laberge stated that eliminating interprovincial trade restrictions would stimulate the economy by enabling more efficient use of Canada’s abundant domestic construction materials and improving trade between regions.
- Raising annual housing starts toward 280,000 would meaningfully reduce Canada's housing supply gap and help restore affordability levels last seen before the pandemic.
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Removing Interprovincial Trade Barriers Could Boost 30,000 New Home Starts Annually: Housing Agency
Removing interprovincial trade barriers and improving transport infrastructure would lead to 30,000 additional home starts per year, according to Canada’s national housing agency. Though some measures were introduced earlier this month to reduce interprovincial barriers, more needs to be done in order to improve trade and coordination between provinces, according to a July 17 report from the Canada Mortgage and Housing Corporation (CMHC). CMHC c…
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A new analysis by the National Housing Agency estimates that Canada could add 30,000 new jobs per year by removing interprovincial trade barriers.
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Coverage Details
Total News Sources26
Leaning Left5Leaning Right4Center2Last UpdatedBias Distribution45% Left
Bias Distribution
- 45% of the sources lean Left
45% Left
L 45%
C 18%
R 36%
Factuality
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