Every month, we conduct a survey of Canadians and Americans to explore their views on the economy, finances, and their respective governments. This month, our survey was conducted between October 27 and 29, 2023.
This survey explores Canadians’ and Americans’ perspectives on their household finances and economic uncertainty, and Canadians’ perspectives on federal politics.
Download the report for the full results.
Some of the key highlights of our survey about Canadian federal politics and the economy include…
Pierre Poilievre and the CPC increase their lead at the top.
- Pierre Poilievre’s Conservative Party continues to increase in popularity, as the party leads voting intentions (40%), 14 points ahead of Trudeau’s Liberal Party (26%).
- Canadians also think Pierre Poilievre is the leader who would make the best Prime Minister among the federal party leaders (29%), far ahead of Justin Trudeau (18%) and Jagmeet Singh (15%).
- Less than one-third of Canadians are satisfied with Trudeau’s government (30%), 3 points lower than our last Tracker in September.
Canadians and Americans are worried about the economy
- Almost 2 out of 5 Canadians consider their household’s finances to be poor (28%) or very poor (11%), while 58% consider them very good (7%) or good (51%), down three points from our September Tracker (61%). In the U.S., around two thirds of respondents describe their household finances as good (65%).
- Almost two thirds of Canadians (65%) and over half of Americans (55%) believe their respective countries are in a recession.
- Two-in-five Canadians (40%) are either very (14%) or somewhat (27%) concerned about losing their job in the next 12 months. The proportion is significantly higher among Ontarians (49%) and 18-34 year-olds (48%). The levels of concern are similar in the U.S.
This web survey was conducted from October 27 to 29, 2023, with 1,632 Canadians and 1,000 Americans, 18 years of age or older, randomly recruited from LEO’s online panel.
A margin of error cannot be associated with a non-probability sample in a panel survey. For comparison, a probability sample of 1,632 respondents would have a margin of error of ±2.4%, 19 times out of 20, while a probability sample of 1,000 respondents would have a margin of error of ±3.1%, 19 times out of 20.