
| 2015-10-19 | |
|---|---|
11.763 | 0.97% |
8.286 | 0.97% |
146.084 | 0.97% |
14.882 | 0.97% |
13.143 | 0.97% |
16.995 | 0.97% |
10.402 | 0.97% |
6.431 | 0.97% |
5.47 | 0.97% |
36.166 | 0.97% |
11.421 | 0.97% |
18.07 | 0.97% |
15.916 | 0.97% |
4.427 | 0.97% |
10.616 | 0.97% |
4.928 | 0.97% |
5.901 | 0.97% |
4.457 | 0.97% |
4.566 | 0.97% |
7.733 | 0.97% |
6.595 | 0.97% |
1.92 | 0.97% |
3.781 | 0.97% |
94.307 | 0.97% |
311.512 | 0.97% |
6.781 | 0.97% |
8.341 | 0.97% |
6.996 | 0.97% |
9.67 | 0.97% |
7.416 | 0.97% |
8.142 | 0.97% |
25.831 | 0.97% |
10.316 | 0.97% |
2.999 | 0.97% |
6.125 | 0.97% |
14.985 | 0.97% |
8.367 | 0.97% |
6.999 | 0.97% |
7.133 | 0.97% |
23.078 | 0.97% |
51.725 | 0.97% |
12.893 | 0.97% |
8.875 | 0.97% |
29.873 | 0.97% |
7.727 | 0.97% |
8.188 | 0.97% |
2.33 | 0.97% |
5.918 | 0.97% |
2.527 | 0.97% |
6.669 | 1.94% |
19.481 | 0.97% |
7.827 | 0.97% |
8.963 | 0.97% |
7.196 | 0.97% |
10.796 | 0.97% |
6.103 | 0.97% |
14.927 | 0.97% |
6.885 | 0.97% |
8.433 | 0.97% |
27.024 | 0.97% |
6.265 | 0.97% |
6.101 | 0.97% |
18.672 | 0.97% |
9.005 | 0.97% |
7.48 | 0.97% |
11.959 | 0.97% |
13.953 | 0.97% |
9.237 | 0.97% |
11.557 | 0.97% |
9.582 | 0.97% |
2.473 | 0.97% |
7.068 | 0.97% |
3.734 | 0.97% |
15.843 | 0.97% |
19.177 | 0.97% |
15.375 | 0.97% |
28.175 | 0.97% |
28.922 | 0.97% |
16.334 | 0.97% |
9.571 | 0.97% |
11.786 | 0.97% |
7.544 | 0.97% |
2.177 | 0.97% |
7.431 | 0.97% |
48.251 | 0.97% |
6.91 | 0.97% |
7.032 | 0.97% |
8.528 | 0.97% |
26.515 | 0.97% |
8.834 | 0.97% |
12.953 | 0.97% |
0.14 | 0.97% |
1.733 | 0.97% |
0.25 | 0.97% |
15.077 | 0.97% |
6.052 | 0.97% |
9.406 | 0.97% |
9.752 | 0.97% |
13.486 | 0.97% |
5.147 | 0.97% |
4.725 | 0.97% |
8.544 | 0.97% |
Sample size | 7,571 |
Sample size calculated by VoxDash | 103 |
Probability sampling | |
Margin of error | ±2% |
Calculated by VoxDash | |
Data provider | |
General population | |
Respondent qualification age | 18 |
Data sampling | Cross-sectional design |
Geographies | Canada |
Coverages | Provincial/state |
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