From February 16 to 18, 2024, we surveyed Canadians to find out their opinion and perceptions on the Russia-Ukraine war, on the second year of the ongoing conflict.
Download the report to learn more.
Some of the key highlights of our survey about the Russia-Ukraine war include…
- About one-quarter of Canadians believe that the Government of Canada should increase its efforts in humanitarian aid (28%), role in diplomatic efforts to support Ukraine (27%), military training (26%), and supplying ammunition and other military supplies (25%). Since October 2023, significantly more Canadians wish for the Canadian government to boost its efforts in supplying ammunition and other military supplies (20% in October vs 25% now).
- More than one-third of Canadians (38%) believe the financial aid the Canadian government provides to Ukraine should remain the same, while 31% think it should be decreased, and 16% believe it should be increased. Since October 2023, there has been a 4-point increase (12%) among Canadians who wish for the government to increase funding.
- Almost six out of ten Canadians (58%) say the conflict between Ukraine and Russia can potentially escalate into a global conflict and world war, marking a significant 16-point decrease since the last measurement in March 2022.
- Nearly half of Canadians (47%) are unable to say which of the two countries will win the conflict. The other half is divided between Ukraine (28%) and Russia (25%), with a notable 5-point decrease in Canadians believing Ukraine will win (from 33% in March 2022).
- 60% of Canadians believe there is no peace in sight, and the conflict could drag on for several more years, compared to one-third (33%) who believe it will last another 2 years, and 7% who think it will end in the coming months.
Methodology
This web survey was conducted from February 16 to 18, 2024, with 1,529 Canadians aged 18 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 1,529 respondents would have a margin of error of ±2.51 %, 19 times out of 20.