HIGHLIGHTS

  • The note provides some estimates of the impacts of the U.S. tariffs on growth and employment in Canada’s provinces, derived from our macroeconometric model.
  • We first estimate the impacts of the tariffs on the total Canadian economy, including that the level of GDP will be 1.1% lower by the end of 2026 compared to a non-tariff scenario.
  • We then decompose these estimates into provincial impacts, in line with each province’s estimated effective tariff rate and U.S. exports as a share of GDP.
  • Using this approach, we find that Ontario and Quebec will face the largest impacts, including through GDP being 1.4% lower by the end of 2026 compared to a non-tariff scenario. New Brunswick and Alberta follow with declines of 1.0% and 0.9% respectively.
  • This approach takes into account some of the structural differences between the provincial economies, including differing industrial composition and U.S. trade exposures. However, it does not have granular assumptions or estimates for each sector or good. As a result, judgement is required in incorporating these estimates to our provincial outlook.

MODEL ESTIMATE OF TARIFF IMPACTS

We have published a number of pieces that outline estimates from our macroeconomic model of the impacts of the U.S. tariffs on the Canadian economy under different scenarios, including this and this.

Tariffs reduce potential GDP as they distort optimal allocation of resources, increase the cost of imported inputs for production, and create supply bottlenecks and supply chain disruptions. This reduces potential GDP and creates inflationary pressures. The inflationary pressures are further amplified by the direct price effects of tariffs in the event of a retaliation. Tariffs also generate a fall of aggregate demand because of the elevated uncertainty related to trade policies and potentially a fall of net exports.

The U.S. tariffs have weakened economic growth in its own economy, while also putting upward pressure on inflation. Lower demand from the United States combined with the negative effects of uncertainty in our economy has slowed the rate of growth in Canada.

Based on our latest calculations of the effective tariff rates facing Canadian exports to the United States and Canadian imports from the United States, our model indicates that the impact on the level of Canadian GDP will peak at around -1.1% at the end of 2026 (chart 1), and cause the level of the GDP to be lower by 0.4% on average in 2025 and 1.0% in both 2026 and 2027 compared to a non-tariff scenario. Looking at employment impacts, the model indicates that impacts on Canadian employment will peak at -0.8% in mid-2026 (chart 2), and that the level of employment in Canada will be 0.3% lower this year and 0.7% lower next year.

Chart 1: Effect on the Level of Canadian Real GDP; Chart 2: Effect on the Level of Canadian Employment

PROVINCIAL TRADE EXPOSURES

Canada’s provinces face varying levels of exposure to U.S. trade risks. Each provincial economy has its own unique composition, and therefore faces a different proportion of its exports that are directly impacted by the U.S. tariffs, as well as a different average tariff rate given the multiple tariff rates. The provinces with large sectors targeted by the Section 232 sectoral tariffs (e.g., steel and aluminum, auto manufacturing, etc.) face the highest estimated effective tariff rates, as most other Canada-U.S. trade is continuing on a mainly tariff-free basis. Quebec and Ontario fare the worst on this metric, given their large steel and aluminum sectors. The provinces that export mainly energy products to the U.S. face the lowest effective tariff rates, given that energy products are either exempt under CUSMA or face lower tariffs than other goods.

Provinces are also more exposed to tariff risk if they are accustomed to exporting significant amounts of their economic output to the U.S. market. Exports to the U.S. represent more than 30% of the annual economic output of Alberta and New Brunswick, though most of this is energy exports, which face a much lower tariff rate than steel and aluminum. In contrast, U.S. exports have comprised less than 10% of provincial GDP in British Columbia and Nova Scotia, reducing the expected impacts of U.S. tariffs in these provinces.

The combined effect of these two variables (chart 3) helps us estimate the overall U.S. tariff exposure of each province. 

Chart 3: U.S. Tariff Exposure By Province

We decompose the estimated national impacts into provincial impacts in line with the combination of the two U.S. tariff exposure variables for each province. This approach provides a straightforward avenue to take into account some of the structural differences between the provincial economies, including differing industrial structures and U.S. trade exposures. However, it does not have granular assumptions or estimates for each sector or good.

RESULTS

The result indicate that Ontario and Quebec will face the largest impacts. The level of GDP in these provinces is estimated to be 1.4% lower by the end of 2026 (chart 4), and be lower on average by 1.3% for calendar years 2026 and 2027 (table 1). Employment around 1% lower is expected in these provinces by mid-2026, with 2026 as a whole averaging 0.9% lower (table 2). New Brunswick is estimated to face impacts in line with the estimates for the Canadian economy as a whole. Other provinces are estimated to feel impacts below the national average. 

Chart 4: Effect on the Level of GDP
Table 1: Canada - Provincial Estimated Effect on the Level of GDP (Annual)
Table 2: Canada - Provincial Estimated Effect on the Level of Employment (Annual)

The results require some caveats. The approach in this exercise assumes that all industries behave the same at a given level of tariff and trade exposure. As a result, some judgement is required in incorporating these estimates into our provincial economic outlook. For example, it may be reasonable to assume that a manufacturing plant may have a larger elasticity of supply than an oil well, given that it faces a higher marginal cost of production. As a result, the impacts on Ontario and Quebec could reasonably be expected to be even larger than the modeling estimates.

Some provinces are also facing impacts from China’s tariffs on canola and seafood products. While outside the scope of this exercise, we anticipate the largest impacts on Saskatchewan, Manitoba, and Nova Scotia, given their higher exposure to these tariffs.

In addition to impacts through trade channels, provinces are also dealing with varying underlying situations in their domestic economies. Housing markets at different stages of growth or consolidation, household balance sheets with different average levels of leverage, etc., are also driving differentiated growth paths across provinces during this trade and uncertainty shock.

Our latest provincial economic forecasts can be found here