Canadians Believe “Clear Majority” Should Exceed Sixty Percent

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The latest Canadian Press-Harris/Decima survey asked about Quebec secession


Quebeckers and non-Quebeckers alike agree that a "clear majority" in a referendum vote should be at least in the 60 percent range

Nationally, 29% feel a clear majority should be more than seventy percent, while a further 23% feel it should be between sixty and sixty nine percent. One in five feel a clear majority is between fifty-one and fifty-nine percent, while 9% feel a clear majority would be fifty percent. The average answer given by Canadians on this question is sixty four percent.

Interestingly, while on average residents of Quebec feel a clear majority is lower than others; the average number given is near sixty percent (59.59%). In all other regions, the average answer on what a clear majority constituted exceeded sixty-four percent.

Women (65.31) see a ‘clear majority’ as a higher number than men (62.75).

Across vote intention lines, Conservatives gave an average of 67.61 on the question of what constitutes a clear majority, while even among BQ voters the average given was 55.86. For New Democrats, the average is 62.68.

Roughly half oppose proposed legislation by the NDP that, if passed, would ask the Government to replace the Clarity Act with the Unity Bill.

Nationally, 49% oppose (30%) or strongly oppose (19%) this proposed legislation, while 35% support it. Support is highest in the province of Quebec where 57% are in favour of the legislation. Roughly half of those in Atlantic Canada oppose the proposed legislation, while in the provinces east of Quebec, a majority is opposed. More than seven in ten (72%) BQ voters are in favour of this legislation, as are 50% of NDP voters. Four in ten New Democrats are opposed to the proposed legislation.

Each week, Harris/Decima interviews just over 1000 Canadians through teleVox, the company’s national telephone omnibus survey. The most recent data were gathered between February 7 and February 10, 2013 for just over 1,000 completes. A sample of the same size has a margin of error of 3.1%, 19 times out of 20.