From November 15 to 17, 2024, we surveyed Canadian port strikes and strikes at Canada Post.
Some of the key highlights of our survey about the Canada Post and Canadian Ports strikes…
Canadian Ports Strikes
- Awareness of the port strikes, such as those in Montreal and Vancouver, was 67%, with older respondents (83%), respondents living in British Columbia (79%), and respondents in Quebec (78%) showing the highest levels of awareness.
- Support for federal intervention to end port strikes and resolve disputes through arbitration was strong, with 63% supporting it. Again, older respondents (75%), respondents in British Columbia (71%), respondents in Quebec (68%), and males (66%) show support in greater proportions.
- Opinions were divided regarding the right to strike. Half of Canadians (51%) believed port operations should be considered essential services and exempt from strike action, while 32% supported workers’ right to strike for better conditions. One in five Canadians (17%) don’t have an opinion on the matter.
Canada Post Strike
- A substantial majority of Canadians (86%) were aware of the Canada Post strike. Concerns over mail service disruptions were high, with 61% of respondents worried about potential impacts and 57% expressing specific concerns about delays during the holiday season.
- 56% of Canadians show support for Canada Post workers, backing wage increases, better working conditions, and job security. Respondents from the Atlantic provinces (67%) and younger respondents (18-34) (65%) showed slightly higher levels of support compared to other groups.
- More than half of Canadians (57%) would support a federal government intervention, such as ordering arbitration and requiring workers to return to their jobs.
Methodology
This web survey was conducted from November 15 to November 17, 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 purposes, a probability sample of this size yields a margin of error no greater than ±2.51%, (19 times out of 20) for the Canadian sample.
