| Totals | Rejected Ballots for Polling Station | Electors for Polling Station | Michael Coteau Liberal | Penelope Williams Conservative | Peter De Marco People's Party | Simon Topp NDP-New Democratic Party | Total Votes | Turnout | Michael Coteau | Penelope Williams | Peter De Marco | Simon Topp |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 35019 | 2190 | 66530 | 22503 | 8428 | 2033 | 4879 | 42294 | 63.6% | 53.2% | 19.9% | 4.8% | 11.5% |
| Polling Station Number | Polling Station Name | Rejected Ballots for Polling Station | Electors for Polling Station | Michael Coteau Liberal | Penelope Williams Conservative | Peter De Marco People's Party | Simon Topp NDP-New Democratic Party | Total Votes | Turnout | Green Rank | Michael Coteau Liberal | Penelope Williams Conservative | Peter De Marco People's Party | Simon Topp NDP-New Democratic Party |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 100-A | Toronto | 3 | 70 | 159 | 21 | 8 | 25 | 216 | 308.6% | 5 | 73.6% | 9.7% | 3.7% | 11.6% |
| 100-B | Toronto | 1 | 51 | 91 | 21 | 9 | 23 | 145 | 284.3% | 5 | 62.8% | 14.5% | 6.2% | 15.9% |
| 100-C | Toronto | 7 | 53 | 123 | 24 | 8 | 35 | 197 | 371.7% | 5 | 62.4% | 12.2% | 4.1% | 17.8% |
| 100-D | Toronto | 2 | 39 | 93 | 22 | 13 | 20 | 150 | 384.6% | 5 | 62% | 14.7% | 8.7% | 13.3% |
| 100-E | Toronto | 8 | 72 | 160 | 24 | 11 | 38 | 241 | 334.7% | 5 | 66.4% | 10% | 4.6% | 15.8% |
| 100-F | Toronto | 6 | 51 | 131 | 25 | 6 | 29 | 197 | 386.3% | 5 | 66.5% | 12.7% | 3% | 14.7% |
| 100G | Toronto | 3 | 61 | 105 | 25 | 6 | 19 | 158 | 259% | 5 | 66.5% | 15.8% | 3.8% | 12% |
| 101-A | Toronto | 0 | 119 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 101-B | Toronto | 0 | 100 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 101-C | Toronto | 0 | 156 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 101-D | Toronto | 0 | 124 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 101-E | Toronto | 0 | 155 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 101-F | Toronto | 0 | 132 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 101G | Toronto | 0 | 124 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 102-A | Toronto | 0 | 82 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 102-B | Toronto | 0 | 46 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 102-C | Toronto | 0 | 59 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 102-D | Toronto | 0 | 55 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 102-E | Toronto | 0 | 99 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 102-F | Toronto | 0 | 67 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 102G | Toronto | 0 | 47 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 103-A | Toronto | 0 | 86 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 103-B | Toronto | 0 | 56 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 103-C | Toronto | 0 | 62 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 103-D | Toronto | 0 | 47 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 103-E | Toronto | 0 | 75 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 103-F | Toronto | 0 | 85 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 103G | Toronto | 0 | 48 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 104-A | Toronto | 0 | 96 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 104-B | Toronto | 0 | 36 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 104-C | Toronto | 0 | 88 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 104-D | Toronto | 0 | 55 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 104-E | Toronto | 0 | 133 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 104-F | Toronto | 0 | 71 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 104G | Toronto | 0 | 61 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 105-A | Toronto | 0 | 48 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 105-B | Toronto | 0 | 43 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 105-C | Toronto | 0 | 57 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 105-D | Toronto | 0 | 36 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 105-E | Toronto | 0 | 56 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 105-F | Toronto | 0 | 46 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 105G | Toronto | 0 | 53 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 106-A | Toronto | 4 | 135 | 140 | 22 | 9 | 10 | 185 | 137% | 5 | 75.7% | 11.9% | 4.9% | 5.4% |
| 106-B | Toronto | 4 | 137 | 174 | 28 | 6 | 20 | 232 | 169.3% | 5 | 75% | 12.1% | 2.6% | 8.6% |
| 106-C | Toronto | 0 | 171 | 169 | 30 | 11 | 33 | 243 | 142.1% | 5 | 69.5% | 12.3% | 4.5% | 13.6% |
| 106-D | Toronto | 0 | 151 | 223 | 35 | 12 | 34 | 304 | 201.3% | 5 | 73.4% | 11.5% | 3.9% | 11.2% |
| 107-A | Toronto | 0 | 98 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 107-B | Toronto | 0 | 106 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 107-C | Toronto | 0 | 119 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 107-D | Toronto | 0 | 66 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 108-A | Toronto | 0 | 94 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 108-B | Toronto | 0 | 120 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 108-C | Toronto | 0 | 152 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 108-D | Toronto | 0 | 58 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 109-A | Toronto | 0 | 81 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 109-B | Toronto | 0 | 66 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 109-C | Toronto | 0 | 71 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 109-D | Toronto | 0 | 45 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 113-A | Toronto | 0 | 67 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 113-B | Toronto | 0 | 84 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 113-C | Toronto | 0 | 81 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 113-D | Toronto | 0 | 57 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 11-A | Toronto | 0 | 153 | 120 | 58 | 15 | 29 | 222 | 145.1% | 5 | 54.1% | 26.1% | 6.8% | 13.1% |
| 11-B | Toronto | 0 | 107 | 115 | 45 | 11 | 33 | 204 | 190.7% | 5 | 56.4% | 22.1% | 5.4% | 16.2% |
| 11-C | Toronto | 2 | 172 | 135 | 58 | 14 | 39 | 248 | 144.2% | 5 | 54.4% | 23.4% | 5.6% | 15.7% |
| 11-D | Toronto | 3 | 152 | 137 | 74 | 8 | 45 | 267 | 175.7% | 5 | 51.3% | 27.7% | 3% | 16.9% |
| 13-A | Toronto | 0 | 121 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 13-B | Toronto | 0 | 156 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 13-C | Toronto | 0 | 131 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 14-A | Toronto | 0 | 140 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 14-B | Toronto | 0 | 116 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 14-C | Toronto | 0 | 133 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 15-A | Toronto | 0 | 195 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 15-B | Toronto | 0 | 178 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 15-C | Toronto | 0 | 178 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 16-A | Toronto | 2 | 157 | 134 | 62 | 13 | 28 | 239 | 152.2% | 5 | 56.1% | 25.9% | 5.4% | 11.7% |
| 16-B | Toronto | 0 | 164 | 169 | 50 | 12 | 37 | 268 | 163.4% | 5 | 63.1% | 18.7% | 4.5% | 13.8% |
| 16-C | Toronto | 5 | 155 | 162 | 51 | 16 | 40 | 274 | 176.8% | 5 | 59.1% | 18.6% | 5.8% | 14.6% |
| 17-A | Toronto | 0 | 169 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 17-B | Toronto | 0 | 125 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 17-C | Toronto | 0 | 163 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 18-A | Toronto | 0 | 71 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 18-B | Toronto | 0 | 102 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 18-C | Toronto | 0 | 100 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 19-A | Toronto | 0 | 157 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 19-B | Toronto | 0 | 159 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 19-C | Toronto | 0 | 155 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 20-A | Toronto | 2 | 212 | 133 | 65 | 17 | 42 | 259 | 122.2% | 5 | 51.4% | 25.1% | 6.6% | 16.2% |
| 20-B | Toronto | 4 | 147 | 152 | 62 | 9 | 36 | 263 | 178.9% | 5 | 57.8% | 23.6% | 3.4% | 13.7% |
| 20-C | Toronto | 2 | 179 | 147 | 65 | 16 | 33 | 263 | 146.9% | 5 | 55.9% | 24.7% | 6.1% | 12.5% |
| 21-A | Toronto | 0 | 139 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 21-B | Toronto | 0 | 121 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 21-C | Toronto | 0 | 76 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 28-A | Toronto | 0 | 114 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 28-B | Toronto | 0 | 86 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 28-C | Toronto | 0 | 62 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 28-D | Toronto | 0 | 152 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 28-E | Toronto | 0 | 89 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 29-A | Toronto | 2 | 127 | 153 | 78 | 10 | 46 | 289 | 227.6% | 5 | 52.9% | 27% | 3.5% | 15.9% |
| 29-B | Toronto | 1 | 100 | 139 | 53 | 13 | 46 | 252 | 252% | 5 | 55.2% | 21% | 5.2% | 18.3% |
| 29-C | Toronto | 2 | 97 | 119 | 66 | 13 | 30 | 230 | 237.1% | 5 | 51.7% | 28.7% | 5.7% | 13% |
| 29-D | Toronto | 9 | 121 | 197 | 111 | 12 | 60 | 389 | 321.5% | 5 | 50.6% | 28.5% | 3.1% | 15.4% |
| 29-E | Toronto | 3 | 108 | 184 | 93 | 14 | 58 | 352 | 325.9% | 5 | 52.3% | 26.4% | 4% | 16.5% |
| 30-A | Toronto | 0 | 108 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 30-B | Toronto | 0 | 96 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 30-C | Toronto | 0 | 67 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 30-D | Toronto | 0 | 123 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 30-E | Toronto | 0 | 105 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 31-A | Toronto | 0 | 69 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 31-B | Toronto | 0 | 87 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 31-C | Toronto | 0 | 53 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 31-D | Toronto | 0 | 108 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 31-E | Toronto | 0 | 138 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 38-A | Toronto | 0 | 99 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 38-B | Toronto | 0 | 81 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 38-C | Toronto | 0 | 72 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 38-D | Toronto | 0 | 118 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 38-E | Toronto | 0 | 97 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 39-A | Toronto | 0 | 106 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 39-B | Toronto | 0 | 109 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 39-C | Toronto | 0 | 59 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 39-D | Toronto | 0 | 90 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 39-E | Toronto | 0 | 103 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 408-A | Toronto | 0 | 104 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 408-B | Toronto | 0 | 75 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 408-C | Toronto | 0 | 100 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 40-A | Toronto | 0 | 66 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 40-B | Toronto | 0 | 76 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 40-C | Toronto | 0 | 74 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 40-D | Toronto | 0 | 109 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 40-E | Toronto | 0 | 94 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 410-A | Toronto | 0 | 141 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 410-B | Toronto | 0 | 122 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 410-C | Toronto | 0 | 88 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 410-D | Toronto | 0 | 56 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 415-A | Toronto | 3 | 163 | 127 | 56 | 11 | 24 | 221 | 135.6% | 5 | 57.5% | 25.3% | 5% | 10.9% |
| 415-B | Toronto | 2 | 149 | 101 | 48 | 13 | 12 | 176 | 118.1% | 5 | 57.4% | 27.3% | 7.4% | 6.8% |
| 416-A | Toronto | 0 | 149 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 416-B | Toronto | 0 | 117 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 417-A | Toronto | 0 | 81 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 417-B | Toronto | 0 | 74 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 41-A | Toronto | 0 | 53 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 41-B | Toronto | 0 | 59 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 41-C | Toronto | 0 | 62 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 41-D | Toronto | 0 | 76 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 41-E | Toronto | 0 | 99 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 426-A | Toronto | 0 | 84 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 426-B | Toronto | 0 | 116 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 426-C | Toronto | 0 | 102 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 42-A | Toronto | 0 | 59 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 42-B | Toronto | 0 | 86 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 42-C | Toronto | 0 | 98 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 42-D | Toronto | 0 | 76 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 433-A | Toronto | 0 | 64 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 433-B | Toronto | 0 | 40 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 433-C | Toronto | 0 | 51 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 433-D | Toronto | 0 | 33 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 433-E | Toronto | 0 | 75 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 433-F | Toronto | 0 | 60 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 433G | Toronto | 0 | 54 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 43-A | Toronto | 0 | 82 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 43-B | Toronto | 0 | 72 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 43-C | Toronto | 0 | 98 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 43-D | Toronto | 0 | 101 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 440-A | Toronto | 0 | 67 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 440-B | Toronto | 0 | 60 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 440-C | Toronto | 0 | 96 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 440-D | Toronto | 0 | 50 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 441-A | Toronto | 0 | 68 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 441-B | Toronto | 0 | 57 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 441-C | Toronto | 0 | 72 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 441-D | Toronto | 0 | 67 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 443-A | Toronto | 0 | 119 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 443-B | Toronto | 0 | 117 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 443-C | Toronto | 0 | 124 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 443-D | Toronto | 0 | 105 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 44-A | Toronto | 0 | 87 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 44-B | Toronto | 0 | 83 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 44-C | Toronto | 0 | 110 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 44-D | Toronto | 0 | 99 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 45-A | Toronto | 0 | 98 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 45-B | Toronto | 0 | 60 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 45-C | Toronto | 0 | 88 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 45-D | Toronto | 0 | 55 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 46-A | Toronto | 3 | 80 | 50 | 46 | 4 | 9 | 112 | 140% | 5 | 44.6% | 41.1% | 3.6% | 8% |
| 46-B | Toronto | 2 | 156 | 100 | 95 | 11 | 11 | 219 | 140.4% | 5 | 45.7% | 43.4% | 5% | 5% |
| 46-C | Toronto | 1 | 72 | 47 | 54 | 4 | 20 | 126 | 175% | 5 | 37.3% | 42.9% | 3.2% | 15.9% |
| 46-D | Toronto | 4 | 117 | 96 | 71 | 12 | 12 | 195 | 166.7% | 5 | 49.2% | 36.4% | 6.2% | 6.2% |
| 47-A | Toronto | 0 | 71 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 47-B | Toronto | 0 | 163 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 47-C | Toronto | 0 | 95 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 47-D | Toronto | 0 | 144 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 48-A | Toronto | 0 | 72 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 48-B | Toronto | 0 | 136 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 48-C | Toronto | 0 | 83 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 48-D | Toronto | 0 | 104 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 49-A | Toronto | 0 | 57 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 49-B | Toronto | 0 | 138 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 49-C | Toronto | 0 | 77 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 49-D | Toronto | 0 | 122 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 50-A | Toronto | 0 | 72 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 50-B | Toronto | 0 | 145 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 50-C | Toronto | 0 | 56 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 50-D | Toronto | 0 | 93 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 51-A | Toronto | 0 | 106 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 51-B | Toronto | 0 | 105 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 51-C | Toronto | 0 | 60 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 51-D | Toronto | 0 | 133 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 51-E | Toronto | 0 | 100 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 52-A | Toronto | 0 | 104 | 103 | 61 | 7 | 32 | 203 | 195.2% | 5 | 50.7% | 30% | 3.4% | 15.8% |
| 52-B | Toronto | 1 | 83 | 98 | 56 | 13 | 33 | 201 | 242.2% | 5 | 48.8% | 27.9% | 6.5% | 16.4% |
| 52-C | Toronto | 1 | 127 | 112 | 70 | 18 | 42 | 243 | 191.3% | 5 | 46.1% | 28.8% | 7.4% | 17.3% |
| 52-D | Toronto | 0 | 67 | 89 | 63 | 9 | 25 | 186 | 277.6% | 5 | 47.8% | 33.9% | 4.8% | 13.4% |
| 53-A | Toronto | 0 | 107 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 53-B | Toronto | 0 | 83 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 53-C | Toronto | 0 | 98 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 53-D | Toronto | 0 | 77 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 54-A | Toronto | 0 | 135 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 54-B | Toronto | 0 | 115 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 54-C | Toronto | 0 | 105 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 54-D | Toronto | 0 | 110 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 55-A | Toronto | 0 | 57 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 55-B | Toronto | 0 | 71 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 55-C | Toronto | 0 | 43 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 55-D | Toronto | 0 | 81 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 55-E | Toronto | 0 | 57 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 56-A | Toronto | 5 | 159 | 111 | 20 | 1 | 17 | 154 | 96.9% | 5 | 72.1% | 13% | 0.6% | 11% |
| 56-B | Toronto | 3 | 120 | 107 | 31 | 11 | 15 | 167 | 139.2% | 5 | 64.1% | 18.6% | 6.6% | 9% |
| 56-C | Toronto | 1 | 89 | 91 | 29 | 3 | 26 | 150 | 168.5% | 5 | 60.7% | 19.3% | 2% | 17.3% |
| 56-D | Toronto | 0 | 79 | 46 | 35 | 2 | 22 | 105 | 132.9% | 5 | 43.8% | 33.3% | 1.9% | 21% |
| 57-A | Toronto | 0 | 97 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 57-B | Toronto | 0 | 85 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 57-C | Toronto | 0 | 113 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 57-D | Toronto | 0 | 72 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 58-A | Toronto | 0 | 97 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 58-B | Toronto | 0 | 95 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 58-C | Toronto | 0 | 115 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 58-D | Toronto | 0 | 118 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 5-A | Toronto | 0 | 87 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 5-B | Toronto | 0 | 105 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 5-C | Toronto | 0 | 80 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 5-D | Toronto | 0 | 111 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 69-A | Toronto | 0 | 86 | 73 | 58 | 11 | 24 | 166 | 193% | 5 | 44% | 34.9% | 6.6% | 14.5% |
| 69-B | Toronto | 2 | 117 | 86 | 40 | 9 | 29 | 166 | 141.9% | 5 | 51.8% | 24.1% | 5.4% | 17.5% |
| 69-C | Toronto | 3 | 136 | 118 | 68 | 12 | 24 | 225 | 165.4% | 5 | 52.4% | 30.2% | 5.3% | 10.7% |
| 69-D | Toronto | 3 | 114 | 97 | 83 | 14 | 26 | 223 | 195.6% | 5 | 43.5% | 37.2% | 6.3% | 11.7% |
| 69-E | Toronto | 0 | 106 | 57 | 38 | 9 | 13 | 117 | 110.4% | 5 | 48.7% | 32.5% | 7.7% | 11.1% |
| 6-A | Toronto | 0 | 86 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 6-B | Toronto | 0 | 79 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 6-C | Toronto | 0 | 76 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 6-D | Toronto | 0 | 102 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 79-A | Toronto | 3 | 90 | 72 | 19 | 7 | 29 | 130 | 144.4% | 5 | 55.4% | 14.6% | 5.4% | 22.3% |
| 79-B | Toronto | 0 | 100 | 70 | 19 | 3 | 27 | 119 | 119% | 5 | 58.8% | 16% | 2.5% | 22.7% |
| 79-C | Toronto | 2 | 110 | 102 | 39 | 10 | 32 | 185 | 168.2% | 5 | 55.1% | 21.1% | 5.4% | 17.3% |
| 79-D | Toronto | 0 | 93 | 35 | 6 | 4 | 8 | 53 | 57% | 5 | 66% | 11.3% | 7.5% | 15.1% |
| 79-E | Toronto | 1 | 36 | 79 | 19 | 4 | 28 | 131 | 363.9% | 5 | 60.3% | 14.5% | 3.1% | 21.4% |
| 7-A | Toronto | 0 | 99 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 7-B | Toronto | 0 | 76 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 7-C | Toronto | 0 | 115 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 7-D | Toronto | 0 | 123 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 80-A | Toronto | 0 | 77 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 80-B | Toronto | 0 | 56 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 80-C | Toronto | 0 | 89 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 80-D | Toronto | 0 | 70 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 80-E | Toronto | 0 | 39 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 82-A | Toronto | 0 | 155 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 82-B | Toronto | 0 | 162 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 82-C | Toronto | 0 | 170 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 82-D | Toronto | 0 | 181 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 82-E | Toronto | 0 | 67 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 89-A | Toronto | 0 | 90 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 89-B | Toronto | 0 | 94 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 89-C | Toronto | 0 | 122 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 89-D | Toronto | 0 | 135 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 89-E | Toronto | 0 | 75 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 8-A | Toronto | 0 | 123 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 8-B | Toronto | 0 | 112 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 8-C | Toronto | 0 | 129 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 8-D | Toronto | 0 | 123 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 90-A | Toronto | 0 | 117 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 90-B | Toronto | 0 | 94 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 90-C | Toronto | 0 | 111 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 90-D | Toronto | 0 | 101 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 90-E | Toronto | 0 | 60 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 91-A | Toronto | 0 | 75 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 91-B | Toronto | 0 | 93 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 91-C | Toronto | 0 | 97 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 91-D | Toronto | 0 | 112 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 91-E | Toronto | 0 | 59 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 92-A | Toronto | 0 | 91 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 92-B | Toronto | 0 | 94 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 92-C | Toronto | 0 | 110 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 92-D | Toronto | 0 | 113 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 92-E | Toronto | 0 | 64 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 93-A | Toronto | 0 | 74 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 93-B | Toronto | 0 | 58 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 93-C | Toronto | 0 | 77 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 93-D | Toronto | 0 | 62 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 93-E | Toronto | 0 | 29 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 94-A | Toronto | 0 | 128 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 94-B | Toronto | 0 | 113 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 94-C | Toronto | 0 | 116 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 95-A | Toronto | 0 | 133 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 95-B | Toronto | 0 | 130 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 95-C | Toronto | 0 | 144 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 96-A | Toronto | 2 | 181 | 138 | 27 | 5 | 33 | 205 | 113.3% | 5 | 67.3% | 13.2% | 2.4% | 16.1% |
| 96-B | Toronto | 0 | 167 | 124 | 32 | 5 | 33 | 194 | 116.2% | 5 | 63.9% | 16.5% | 2.6% | 17% |
| 96-C | Toronto | 1 | 149 | 126 | 33 | 2 | 33 | 195 | 130.9% | 5 | 64.6% | 16.9% | 1% | 16.9% |
| 97-A | Toronto | 0 | 120 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 97-B | Toronto | 0 | 143 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 97-C | Toronto | 0 | 100 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 98-A | Toronto | 0 | 85 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 98-B | Toronto | 0 | 80 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 98-C | Toronto | 0 | 135 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 98-D | Toronto | 0 | 100 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 98-E | Toronto | 0 | 56 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| S/R 1 | SVR Group 1/RÉS Groupe 1 | 23 | 211 | 248 | 89 | 12 | 64 | 436 | 206.6% | 5 | 56.9% | 20.4% | 2.8% | 14.7% |
| S/R 2 | SVR Group 2/RÉS Groupe 2 | 63 | 0 | 1083 | 388 | 39 | 224 | 1797 | -- | 5 | 60.3% | 21.6% | 2.2% | 12.5% |
| 001 | Toronto | 2 | 509 | 132 | 63 | 13 | 37 | 247 | 48.5% | 5 | 53.4% | 25.5% | 5.3% | 15% |
| 010 | Toronto | 0 | 420 | 104 | 41 | 8 | 22 | 175 | 41.7% | 5 | 59.4% | 23.4% | 4.6% | 12.6% |
| 110 | Toronto | 1 | 339 | 74 | 39 | 7 | 17 | 138 | 40.7% | 5 | 53.6% | 28.3% | 5.1% | 12.3% |
| 111 | Toronto | 1 | 568 | 143 | 34 | 10 | 21 | 209 | 36.8% | 5 | 68.4% | 16.3% | 4.8% | 10% |
| 112 | Toronto | 2 | 542 | 163 | 24 | 4 | 18 | 211 | 38.9% | 5 | 77.3% | 11.4% | 1.9% | 8.5% |
| 114 | Toronto | 0 | 351 | 156 | 4 | 0 | 7 | 167 | 47.6% | 4 | 93.4% | 2.4% | 0% | 4.2% |
| 115 | Toronto | 2 | 301 | 70 | 14 | 1 | 20 | 107 | 35.5% | 5 | 65.4% | 13.1% | 0.9% | 18.7% |
| 012 | Toronto | 2 | 420 | 178 | 69 | 15 | 53 | 317 | 75.5% | 5 | 56.2% | 21.8% | 4.7% | 16.7% |
| 002 | Toronto | 2 | 469 | 136 | 57 | 14 | 26 | 235 | 50.1% | 5 | 57.9% | 24.3% | 6% | 11.1% |
| 022 | Toronto | 0 | 423 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 023 | Toronto | 2 | 371 | 130 | 57 | 11 | 37 | 237 | 63.9% | 5 | 54.9% | 24.1% | 4.6% | 15.6% |
| 024 | Toronto | 0 | 306 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 025 | Toronto | 1 | 235 | 80 | 47 | 5 | 16 | 149 | 63.4% | 5 | 53.7% | 31.5% | 3.4% | 10.7% |
| 026 | Toronto | 2 | 366 | 103 | 67 | 16 | 37 | 225 | 61.5% | 5 | 45.8% | 29.8% | 7.1% | 16.4% |
| 027 | Toronto | 7 | 363 | 143 | 18 | 16 | 30 | 214 | 59% | 5 | 66.8% | 8.4% | 7.5% | 14% |
| 003 | Toronto | 2 | 442 | 118 | 61 | 13 | 25 | 219 | 49.5% | 5 | 53.9% | 27.9% | 5.9% | 11.4% |
| 032 | Toronto | 0 | 289 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 033 | Toronto | 1 | 316 | 114 | 52 | 12 | 48 | 227 | 71.8% | 5 | 50.2% | 22.9% | 5.3% | 21.1% |
| 034 | Toronto | 0 | 373 | 71 | 45 | 10 | 11 | 137 | 36.7% | 5 | 51.8% | 32.8% | 7.3% | 8% |
| 035 | Toronto | 0 | 408 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 036 | Toronto | 0 | 343 | 66 | 38 | 6 | 14 | 124 | 36.2% | 5 | 53.2% | 30.6% | 4.8% | 11.3% |
| 037 | Toronto | 2 | 372 | 71 | 53 | 3 | 16 | 145 | 39% | 5 | 49% | 36.6% | 2.1% | 11% |
| 004 | Toronto | 1 | 309 | 134 | 38 | 15 | 45 | 233 | 75.4% | 5 | 57.5% | 16.3% | 6.4% | 19.3% |
| 400 | Toronto | 1 | 354 | 73 | 28 | 1 | 19 | 122 | 34.5% | 5 | 59.8% | 23% | 0.8% | 15.6% |
| 401 | Toronto | 4 | 377 | 72 | 22 | 4 | 15 | 117 | 31% | 5 | 61.5% | 18.8% | 3.4% | 12.8% |
| 402 | Toronto | 1 | 396 | 83 | 34 | 10 | 35 | 163 | 41.2% | 5 | 50.9% | 20.9% | 6.1% | 21.5% |
| 403 | Toronto | 3 | 407 | 77 | 19 | 15 | 36 | 150 | 36.9% | 5 | 51.3% | 12.7% | 10% | 24% |
| 404 | Toronto | 0 | 338 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 405 | Toronto | 3 | 232 | 130 | 55 | 11 | 37 | 236 | 101.7% | 5 | 55.1% | 23.3% | 4.7% | 15.7% |
| 406 | Toronto | 0 | 355 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 407 | Toronto | 7 | 359 | 140 | 22 | 7 | 35 | 211 | 58.8% | 5 | 66.4% | 10.4% | 3.3% | 16.6% |
| 409 | Toronto | 0 | 195 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 411 | Toronto | 1 | 351 | 151 | 40 | 2 | 19 | 213 | 60.7% | 5 | 70.9% | 18.8% | 0.9% | 8.9% |
| 412 | Mobile poll/Bureau itinérant | 0 | 163 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 413 | Toronto | 3 | 575 | 192 | 66 | 17 | 39 | 317 | 55.1% | 5 | 60.6% | 20.8% | 5.4% | 12.3% |
| 414 | Toronto | 2 | 550 | 202 | 51 | 9 | 32 | 296 | 53.8% | 5 | 68.2% | 17.2% | 3% | 10.8% |
| 418 | Toronto | 1 | 452 | 89 | 45 | 9 | 13 | 157 | 34.7% | 5 | 56.7% | 28.7% | 5.7% | 8.3% |
| 419 | Toronto | 1 | 221 | 36 | 9 | 0 | 5 | 51 | 23.1% | 4 | 70.6% | 17.6% | 0% | 9.8% |
| 420 | Toronto | 0 | 454 | 95 | 36 | 7 | 25 | 163 | 35.9% | 5 | 58.3% | 22.1% | 4.3% | 15.3% |
| 421 | Toronto | 1 | 397 | 75 | 10 | 6 | 20 | 112 | 28.2% | 5 | 67% | 8.9% | 5.4% | 17.9% |
| 422 | Toronto | 0 | 237 | 55 | 22 | 3 | 20 | 100 | 42.2% | 5 | 55% | 22% | 3% | 20% |
| 423 | Toronto | 0 | 202 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 424 | Toronto | 0 | 374 | 88 | 27 | 5 | 14 | 134 | 35.8% | 5 | 65.7% | 20.1% | 3.7% | 10.4% |
| 425 | Mobile poll/Bureau itinérant | 6 | 110 | 114 | 33 | 7 | 4 | 164 | 149.1% | 5 | 69.5% | 20.1% | 4.3% | 2.4% |
| 427 | Toronto | 0 | 311 | 109 | 21 | 1 | 13 | 144 | 46.3% | 5 | 75.7% | 14.6% | 0.7% | 9% |
| 428 | Toronto | 4 | 326 | 158 | 27 | 4 | 16 | 209 | 64.1% | 5 | 75.6% | 12.9% | 1.9% | 7.7% |
| 429 | Toronto | 2 | 318 | 104 | 46 | 6 | 17 | 175 | 55% | 5 | 59.4% | 26.3% | 3.4% | 9.7% |
| 430 | Mobile poll/Bureau itinérant | 2 | 117 | 8 | 5 | 2 | 0 | 17 | 14.5% | 4 | 47.1% | 29.4% | 11.8% | 0% |
| 431 | Toronto | 1 | 566 | 190 | 48 | 5 | 34 | 278 | 49.1% | 5 | 68.3% | 17.3% | 1.8% | 12.2% |
| 432 | Toronto | 0 | 645 | 194 | 44 | 9 | 39 | 286 | 44.3% | 5 | 67.8% | 15.4% | 3.1% | 13.6% |
| 434 | Toronto | 1 | 397 | 104 | 8 | 8 | 8 | 129 | 32.5% | 5 | 80.6% | 6.2% | 6.2% | 6.2% |
| 435 | Toronto | 0 | 415 | 109 | 15 | 2 | 27 | 153 | 36.9% | 5 | 71.2% | 9.8% | 1.3% | 17.6% |
| 436 | Toronto | 0 | 240 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 437 | Toronto | 1 | 552 | 171 | 38 | 13 | 28 | 251 | 45.5% | 5 | 68.1% | 15.1% | 5.2% | 11.2% |
| 438 | Toronto | 1 | 562 | 178 | 20 | 6 | 33 | 238 | 42.3% | 5 | 74.8% | 8.4% | 2.5% | 13.9% |
| 439 | Toronto | 0 | 477 | 138 | 21 | 3 | 18 | 180 | 37.7% | 5 | 76.7% | 11.7% | 1.7% | 10% |
| 442 | Toronto | 0 | 452 | 126 | 12 | 4 | 9 | 151 | 33.4% | 5 | 83.4% | 7.9% | 2.6% | 6% |
| 500 | Mobile poll/Bureau itinérant | 2 | 34 | 10 | 8 | 2 | 2 | 24 | 70.6% | 5 | 41.7% | 33.3% | 8.3% | 8.3% |
| 501 | Mobile poll/Bureau itinérant | 0 | 24 | 5 | 2 | 1 | 3 | 11 | 45.8% | 5 | 45.5% | 18.2% | 9.1% | 27.3% |
| 502 | Mobile poll/Bureau itinérant | 1 | 107 | 24 | 8 | 0 | 0 | 33 | 30.8% | 3 | 72.7% | 24.2% | 0% | 0% |
| 503 | Mobile poll/Bureau itinérant | 1 | 51 | 17 | 0 | 2 | 1 | 21 | 41.2% | 4 | 81% | 0% | 9.5% | 4.8% |
| 059 | Toronto | 1 | 487 | 94 | 71 | 2 | 8 | 176 | 36.1% | 5 | 53.4% | 40.3% | 1.1% | 4.5% |
| 060 | Toronto | 0 | 559 | 86 | 59 | 4 | 47 | 196 | 35.1% | 5 | 43.9% | 30.1% | 2% | 24% |
| 600 | Toronto | 3 | 0 | 185 | 81 | 9 | 44 | 322 | -- | 5 | 57.5% | 25.2% | 2.8% | 13.7% |
| 601 | Toronto | 11 | 0 | 536 | 259 | 58 | 103 | 967 | -- | 5 | 55.4% | 26.8% | 6% | 10.7% |
| 602 | Toronto | 7 | 0 | 718 | 426 | 61 | 113 | 1325 | -- | 5 | 54.2% | 32.2% | 4.6% | 8.5% |
| 603 | Toronto | 25 | 0 | 713 | 430 | 48 | 94 | 1310 | -- | 5 | 54.4% | 32.8% | 3.7% | 7.2% |
| 604 | Toronto | 10 | 0 | 761 | 424 | 59 | 142 | 1396 | -- | 5 | 54.5% | 30.4% | 4.2% | 10.2% |
| 605 | Toronto | 11 | 0 | 564 | 312 | 65 | 122 | 1074 | -- | 5 | 52.5% | 29.1% | 6.1% | 11.4% |
| 606 | Toronto | 9 | 0 | 556 | 264 | 38 | 95 | 962 | -- | 5 | 57.8% | 27.4% | 4% | 9.9% |
| 607 | Toronto | 9 | 0 | 597 | 164 | 36 | 91 | 897 | -- | 5 | 66.6% | 18.3% | 4% | 10.1% |
| 608 | Toronto | 13 | 0 | 600 | 188 | 40 | 78 | 919 | -- | 5 | 65.3% | 20.5% | 4.4% | 8.5% |
| 609 | Toronto | 26 | 0 | 498 | 148 | 28 | 86 | 786 | -- | 5 | 63.4% | 18.8% | 3.6% | 10.9% |
| 061 | Toronto | 2 | 488 | 105 | 35 | 15 | 17 | 174 | 35.7% | 5 | 60.3% | 20.1% | 8.6% | 9.8% |
| 610 | Toronto | 3 | 0 | 220 | 28 | 11 | 34 | 296 | -- | 5 | 74.3% | 9.5% | 3.7% | 11.5% |
| 611 | Toronto | 3 | 0 | 472 | 85 | 18 | 55 | 633 | -- | 5 | 74.6% | 13.4% | 2.8% | 8.7% |
| 612 | Toronto | 15 | 0 | 282 | 116 | 17 | 43 | 473 | -- | 5 | 59.6% | 24.5% | 3.6% | 9.1% |
| 613 | Toronto | 3 | 0 | 195 | 43 | 8 | 18 | 267 | -- | 5 | 73% | 16.1% | 3% | 6.7% |
| 062 | Toronto | 4 | 438 | 105 | 55 | 12 | 19 | 195 | 44.5% | 5 | 53.8% | 28.2% | 6.2% | 9.7% |
| 063 | Toronto | 0 | 407 | 88 | 43 | 5 | 21 | 157 | 38.6% | 5 | 56.1% | 27.4% | 3.2% | 13.4% |
| 064 | Toronto | 1 | 426 | 67 | 59 | 1 | 15 | 143 | 33.6% | 5 | 46.9% | 41.3% | 0.7% | 10.5% |
| 065 | Toronto | 1 | 342 | 55 | 31 | 5 | 16 | 108 | 31.6% | 5 | 50.9% | 28.7% | 4.6% | 14.8% |
| 066 | Toronto | 1 | 559 | 62 | 33 | 7 | 9 | 112 | 20% | 5 | 55.4% | 29.5% | 6.3% | 8% |
| 067 | Toronto | 0 | 356 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 068 | Toronto | 0 | 468 | 72 | 52 | 7 | 22 | 153 | 32.7% | 5 | 47.1% | 34% | 4.6% | 14.4% |
| 070 | Toronto | 3 | 466 | 158 | 68 | 19 | 49 | 297 | 63.7% | 5 | 53.2% | 22.9% | 6.4% | 16.5% |
| 071 | Toronto | 0 | 225 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 072 | Toronto | 3 | 439 | 119 | 47 | 6 | 25 | 200 | 45.6% | 5 | 59.5% | 23.5% | 3% | 12.5% |
| 073 | Toronto | 0 | 423 | 63 | 50 | 5 | 28 | 146 | 34.5% | 5 | 43.2% | 34.2% | 3.4% | 19.2% |
| 074 | Toronto | 4 | 387 | 96 | 14 | 1 | 31 | 146 | 37.7% | 5 | 65.8% | 9.6% | 0.7% | 21.2% |
| 075 | Toronto | 8 | 413 | 142 | 58 | 3 | 19 | 230 | 55.7% | 5 | 61.7% | 25.2% | 1.3% | 8.3% |
| 076 | Toronto | 0 | 402 | 106 | 58 | 10 | 34 | 208 | 51.7% | 5 | 51% | 27.9% | 4.8% | 16.3% |
| 077 | Toronto | 0 | 374 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 078 | Toronto | 0 | 262 | 73 | 61 | 9 | 22 | 165 | 63% | 5 | 44.2% | 37% | 5.5% | 13.3% |
| 081 | Toronto | 2 | 353 | 91 | 35 | 10 | 22 | 160 | 45.3% | 5 | 56.9% | 21.9% | 6.3% | 13.8% |
| 083 | Toronto | 0 | 284 | 126 | 71 | 5 | 30 | 232 | 81.7% | 5 | 54.3% | 30.6% | 2.2% | 12.9% |
| 084 | Toronto | 4 | 451 | 97 | 34 | 15 | 25 | 175 | 38.8% | 5 | 55.4% | 19.4% | 8.6% | 14.3% |
| 085 | Toronto | 0 | 312 | 0 | 0 | 0 | 0 | 0 | 0% | -- | -- | -- | -- | -- |
| 086 | Toronto | 0 | 521 | 120 | 54 | 6 | 28 | 208 | 39.9% | 5 | 57.7% | 26% | 2.9% | 13.5% |
| 087 | Toronto | 2 | 497 | 198 | 88 | 4 | 20 | 312 | 62.8% | 5 | 63.5% | 28.2% | 1.3% | 6.4% |
| 088 | Toronto | 0 | 323 | 59 | 31 | 7 | 15 | 112 | 34.7% | 5 | 52.7% | 27.7% | 6.3% | 13.4% |
| 009 | Toronto | 0 | 270 | 70 | 18 | 4 | 13 | 105 | 38.9% | 5 | 66.7% | 17.1% | 3.8% | 12.4% |
| 099 | Toronto | 2 | 546 | 154 | 49 | 10 | 34 | 249 | 45.6% | 5 | 61.8% | 19.7% | 4% | 13.7% |
| Area | Total | Male (if applicable) | Female (if Applicable) | % of Total Pop |
|---|---|---|---|---|
| Population, 2016 | 94579 | 100% | ||
| Population, 2011 | 93007 | 98.3% | ||
| Population percentage change, 2011 to 2016 | 2 | 0% | ||
| Total private dwellings | 39219 | 41.5% | ||
| Private dwellings occupied by usual residents | 38098 | 40.3% | ||
| Population density per square kilometre | 4156 | 4.4% | ||
| Land area in square kilometres | 23 | 0% | ||
| Total - Age groups and average age of the population - 100% data | 94580 | 44370 | 50210 | 100% |
| 0 to 14 years | 15190 | 7895 | 7300 | 16.1% |
| 0 to 4 years | 5020 | 2620 | 2400 | 5.3% |
| 5 to 9 years | 5190 | 2695 | 2485 | 5.5% |
| 10 to 14 years | 4990 | 2575 | 2410 | 5.3% |
| 15 to 64 years | 62230 | 29570 | 32660 | 65.8% |
| 15 to 19 years | 5535 | 2850 | 2680 | 5.9% |
| 20 to 24 years | 5915 | 3045 | 2875 | 6.3% |
| 25 to 29 years | 6185 | 3020 | 3160 | 6.5% |
| 30 to 34 years | 6380 | 2975 | 3405 | 6.7% |
| 35 to 39 years | 6550 | 3000 | 3550 | 6.9% |
| 40 to 44 years | 6300 | 2855 | 3445 | 6.7% |
| 45 to 49 years | 6730 | 3105 | 3625 | 7.1% |
| 50 to 54 years | 7195 | 3435 | 3760 | 7.6% |
| 55 to 59 years | 6315 | 3010 | 3305 | 6.7% |
| 60 to 64 years | 5130 | 2275 | 2855 | 5.4% |
| 65 years and over | 17155 | 6905 | 10250 | 18.1% |
| 65 to 69 years | 4640 | 2000 | 2635 | 4.9% |
| 70 to 74 years | 3650 | 1515 | 2135 | 3.9% |
| 75 to 79 years | 3170 | 1275 | 1895 | 3.4% |
| 80 to 84 years | 2615 | 1060 | 1550 | 2.8% |
| 85 years and over | 3080 | 1050 | 2030 | 3.3% |
| 85 to 89 years | 1900 | 690 | 1210 | 2% |
| 90 to 94 years | 930 | 310 | 620 | 1% |
| 95 to 99 years | 210 | 45 | 160 | 0.2% |
| 100 years and over | 40 | 5 | 40 | 0% |
| Total - Distribution (%) of the population by broad age groups - 100% data | 100 | 100 | 100 | 0.1% |
| Avg 0 to 14 years | 16 | 18 | 14 | 0% |
| Avg 15 to 64 years | 66 | 67 | 65 | 0.1% |
| 65 years and over | 18 | 16 | 20 | 0% |
| 85 years and over | 3 | 2 | 4 | 0% |
| Average age of the population | 42 | 40 | 43 | 0% |
| Median age of the population | 41 | 39 | 43 | 0% |
| Total - Occupied private dwellings by structural type of dwelling - 100% data | 38100 | 40.3% | ||
| Single-detached house | 5550 | 5.9% | ||
| Apartment in a building that has five or more storeys | 22035 | 23.3% | ||
| Other attached dwelling | 10510 | 11.1% | ||
| Semi-detached house | 2105 | 2.2% | ||
| Row house | 2875 | 3% | ||
| Apartment or flat in a duplex | 330 | 0.3% | ||
| Apartment in a building that has fewer than five storeys | 5165 | 5.5% | ||
| Other single-attached house | 30 | 0% | ||
| Movable dwelling | 5 | 0% | ||
| Total - Private households by household size - 100% data | 38100 | 40.3% | ||
| 1 person | 11855 | 12.5% | ||
| 2 persons | 11210 | 11.9% | ||
| 3 persons | 6315 | 6.7% | ||
| 4 persons | 5320 | 5.6% | ||
| 5 or more persons | 3395 | 3.6% | ||
| Number of persons in private households | 93360 | 98.7% | ||
| Average household size | 2 | 0% | ||
| Total - Marital status for the population aged 15 years and over - 100% data | 79385 | 36480 | 42910 | 83.9% |
| Married or living common law | 40380 | 20150 | 20235 | 42.7% |
| Married | 36065 | 17960 | 18105 | 38.1% |
| Living common law | 4315 | 2185 | 2130 | 4.6% |
| Not married and not living common law | 39005 | 16335 | 22675 | 41.2% |
| Never married | 25115 | 12530 | 12585 | 26.6% |
| Separated | 2690 | 1025 | 1665 | 2.8% |
| Divorced | 5770 | 1870 | 3900 | 6.1% |
| Widowed | 5435 | 910 | 4520 | 5.7% |
| Total - Census families in private households by family size - 100% data | 25460 | 26.9% | ||
| 2 persons | 11735 | 12.4% | ||
| 3 persons | 6235 | 6.6% | ||
| 4 persons | 5150 | 5.4% | ||
| 5 or more persons | 2345 | 2.5% | ||
| Average size of census families | 3 | 0% | ||
| Total number of census families in private households - 100% data | 25465 | 26.9% | ||
| Total couple families | 19410 | 20.5% | ||
| Married couples | 17250 | 18.2% | ||
| Common-law couples | 2155 | 2.3% | ||
| Total lone-parent families by sex of parent | 6055 | 6.4% | ||
| Female parent | 5185 | 5.5% | ||
| Male parent | 875 | 0.9% | ||
| Total - Couple census families in private households - 100% data | 19410 | 20.5% | ||
| Couples without children | 7895 | 8.3% | ||
| Couples with children | 11515 | 12.2% | ||
| 1 child | 4695 | 5% | ||
| 2 children | 4650 | 4.9% | ||
| 3 or more children | 2165 | 2.3% | ||
| Total - Lone-parent census families in private households - 100% data | 6055 | 6.4% | ||
| 1 child | 3835 | 4.1% | ||
| 2 children | 1535 | 1.6% | ||
| 3 or more children | 680 | 0.7% | ||
| Total - Persons not in census families in private households - 100% data | 17955 | 7420 | 10535 | 19% |
| Total - Private households by household type - 100% data | 38100 | 40.3% | ||
| One-census-family households | 23650 | 25% | ||
| Without children in a census family | 7195 | 7.6% | ||
| With children in a census family | 16460 | 17.4% | ||
| Multiple-census-family households | 890 | 0.9% | ||
| Non-census-family households | 13560 | 14.3% | ||
| One-person households | 11855 | 12.5% | ||
| Two-or-more person non-census-family households | 1700 | 1.8% | ||
| Total - Knowledge of official languages for the total population excluding institutional residents - 100% data | 94035 | 44210 | 49820 | 99.4% |
| English only | 81840 | 39020 | 42820 | 86.5% |
| French only | 135 | 55 | 80 | 0.1% |
| English and French | 8230 | 3650 | 4580 | 8.7% |
| Neither English nor French | 3825 | 1485 | 2340 | 4% |
| Total - First official language spoken for the total population excluding institutional residents - 100% data | 94030 | 44210 | 49820 | 99.4% |
| English | 87260 | 41410 | 45850 | 92.3% |
| French | 1640 | 750 | 890 | 1.7% |
| English and French | 1370 | 595 | 780 | 1.4% |
| Neither English nor French | 3765 | 1460 | 2305 | 4% |
| Official language minority (number) | 2325 | 1050 | 1285 | 2.5% |
| Official language minority (percentage) | 2 | 2 | 3 | 0% |
| Total - Mother tongue for the total population excluding institutional residents - 100% data | 94035 | 44210 | 49820 | 99.4% |
| Single responses | 89230 | 41930 | 47295 | 94.3% |
| Official languages | 43460 | 20635 | 22820 | 46% |
| English | 42095 | 20015 | 22075 | 44.5% |
| French | 1365 | 625 | 740 | 1.4% |
| Non-official languages | 45770 | 21290 | 24480 | 48.4% |
| Aboriginal languages | 10 | 5 | 10 | 0% |
| Algonquian languages | 5 | 5 | 5 | 0% |
| Blackfoot | 0 | 0 | 0 | 0% |
| Cree-Montagnais languages | 5 | 0 | 0 | 0% |
| Atikamekw | 0 | 0 | 0 | 0% |
| Montagnais (Innu) | 0 | 0 | 0 | 0% |
| Moose Cree | 0 | 0 | 0 | 0% |
| Naskapi | 0 | 0 | 0 | 0% |
| Northern East Cree | 0 | 0 | 0 | 0% |
| Plains Cree | 0 | 0 | 0 | 0% |
| Southern East Cree | 5 | 0 | 0 | 0% |
| Swampy Cree | 0 | 0 | 0 | 0% |
| Woods Cree | 0 | 0 | 0 | 0% |
| Cree, n.o.s. | 0 | 0 | 0 | 0% |
| Eastern Algonquian languages | 0 | 0 | 0 | 0% |
| Malecite | 0 | 0 | 0 | 0% |
| Mi'kmaq | 0 | 0 | 0 | 0% |
| Ojibway-Potawatomi languages | 5 | 5 | 5 | 0% |
| Algonquin | 0 | 0 | 0 | 0% |
| Ojibway | 0 | 5 | 0 | 0% |
| Oji-Cree | 0 | 0 | 0 | 0% |
| Ottawa (Odawa) | 0 | 0 | 0 | 0% |
| Algonquian languages, n.i.e. | 0 | 0 | 0 | 0% |
| Athabaskan languages | 0 | 0 | 0 | 0% |
| Northern Athabaskan languages | 0 | 0 | 0 | 0% |
| Babine (Wetsuwet'en) | 0 | 0 | 0 | 0% |
| Beaver | 0 | 0 | 0 | 0% |
| Carrier | 0 | 0 | 0 | 0% |
| Chilcotin | 0 | 0 | 0 | 0% |
| Dene | 0 | 0 | 0 | 0% |
| Dogrib (Tlicho) | 0 | 0 | 0 | 0% |
| Gwich'in | 0 | 0 | 0 | 0% |
| Sarsi (Sarcee) | 0 | 0 | 0 | 0% |
| Sekani | 0 | 0 | 0 | 0% |
| Slavey-Hare languages | 0 | 0 | 0 | 0% |
| North Slavey (Hare) | 0 | 0 | 0 | 0% |
| South Slavey | 0 | 0 | 0 | 0% |
| Slavey, n.o.s. | 0 | 0 | 0 | 0% |
| Tahltan languages | 0 | 0 | 0 | 0% |
| Kaska (Nahani) | 0 | 0 | 0 | 0% |
| Tahltan | 0 | 0 | 0 | 0% |
| Tutchone languages | 0 | 0 | 0 | 0% |
| Northern Tutchone | 0 | 0 | 0 | 0% |
| Southern Tutchone | 0 | 0 | 0 | 0% |
| Athabaskan languages, n.i.e. | 0 | 0 | 0 | 0% |
| Haida | 0 | 0 | 0 | 0% |
| Inuit languages | 0 | 0 | 0 | 0% |
| Inuinnaqtun (Inuvialuktun) | 0 | 0 | 0 | 0% |
| Inuktitut | 0 | 0 | 0 | 0% |
| Inuit languages, n.i.e. | 0 | 0 | 0 | 0% |
| Iroquoian languages | 0 | 0 | 0 | 0% |
| Cayuga | 0 | 0 | 0 | 0% |
| Mohawk | 0 | 0 | 0 | 0% |
| Oneida | 0 | 0 | 0 | 0% |
| Iroquoian languages, n.i.e. | 0 | 0 | 0 | 0% |
| Kutenai | 0 | 0 | 0 | 0% |
| Michif | 0 | 0 | 0 | 0% |
| Salish languages | 0 | 0 | 0 | 0% |
| Comox | 0 | 0 | 0 | 0% |
| Halkomelem | 0 | 0 | 0 | 0% |
| Lillooet | 0 | 0 | 0 | 0% |
| Okanagan | 0 | 0 | 0 | 0% |
| Shuswap (Secwepemctsin) | 0 | 0 | 0 | 0% |
| Squamish | 0 | 0 | 0 | 0% |
| Straits | 0 | 0 | 0 | 0% |
| Thompson (Ntlakapamux) | 0 | 0 | 0 | 0% |
| Salish languages, n.i.e. | 0 | 0 | 0 | 0% |
| Siouan languages | 0 | 0 | 0 | 0% |
| Dakota | 0 | 0 | 0 | 0% |
| Stoney | 0 | 0 | 0 | 0% |
| Siouan languages, n.i.e. | 0 | 0 | 0 | 0% |
| Tlingit | 0 | 0 | 0 | 0% |
| Tsimshian languages | 0 | 0 | 0 | 0% |
| Gitxsan (Gitksan) | 0 | 0 | 0 | 0% |
| Nisga'a | 0 | 0 | 0 | 0% |
| Tsimshian | 0 | 0 | 0 | 0% |
| Wakashan languages | 0 | 0 | 0 | 0% |
| Haisla | 0 | 0 | 0 | 0% |
| Heiltsuk | 0 | 0 | 0 | 0% |
| Kwakiutl (Kwak'wala) | 0 | 0 | 0 | 0% |
| Nuu-chah-nulth (Nootka) | 0 | 0 | 0 | 0% |
| Wakashan languages, n.i.e. | 0 | 0 | 0 | 0% |
| Aboriginal languages, n.o.s. | 5 | 0 | 5 | 0% |
| Non-Aboriginal languages | 45760 | 21285 | 24470 | 48.4% |
| Afro-Asiatic languages | 3785 | 1835 | 1950 | 4% |
| Berber languages | 10 | 5 | 5 | 0% |
| Kabyle | 5 | 0 | 0 | 0% |
| Berber languages, n.i.e. | 5 | 5 | 5 | 0% |
| Cushitic languages | 285 | 115 | 170 | 0.3% |
| Bilen | 0 | 0 | 0 | 0% |
| Oromo | 40 | 15 | 30 | 0% |
| Somali | 245 | 100 | 145 | 0.3% |
| Cushitic languages, n.i.e. | 0 | 5 | 0 | 0% |
| Semitic languages | 3485 | 1715 | 1770 | 3.7% |
| Amharic | 275 | 115 | 160 | 0.3% |
| Arabic | 2920 | 1470 | 1450 | 3.1% |
| Assyrian Neo-Aramaic | 15 | 10 | 5 | 0% |
| Chaldean Neo-Aramaic | 0 | 0 | 0 | 0% |
| Harari | 45 | 20 | 30 | 0% |
| Hebrew | 25 | 15 | 15 | 0% |
| Maltese | 20 | 10 | 10 | 0% |
| Tigrigna | 175 | 75 | 100 | 0.2% |
| Semitic languages, n.i.e. | 10 | 5 | 5 | 0% |
| Afro-Asiatic languages, n.i.e. | 0 | 5 | 0 | 0% |
| Austro-Asiatic languages | 240 | 100 | 145 | 0.3% |
| Khmer (Cambodian) | 5 | 0 | 5 | 0% |
| Vietnamese | 240 | 100 | 135 | 0.3% |
| Austro-Asiatic languages, n.i.e | 0 | 0 | 0 | 0% |
| Austronesian languages | 4440 | 1675 | 2765 | 4.7% |
| Bikol | 30 | 15 | 15 | 0% |
| Cebuano | 175 | 65 | 105 | 0.2% |
| Fijian | 0 | 0 | 0 | 0% |
| Hiligaynon | 100 | 35 | 65 | 0.1% |
| Ilocano | 285 | 120 | 160 | 0.3% |
| Malagasy | 0 | 0 | 0 | 0% |
| Malay | 80 | 30 | 45 | 0.1% |
| Pampangan (Kapampangan, Pampango) | 55 | 25 | 30 | 0.1% |
| Pangasinan | 10 | 5 | 5 | 0% |
| Tagalog (Pilipino, Filipino) | 3670 | 1365 | 2305 | 3.9% |
| Waray-Waray | 15 | 0 | 10 | 0% |
| Austronesian languages, n.i.e. | 40 | 20 | 25 | 0% |
| Creole languages | 95 | 45 | 50 | 0.1% |
| Haitian Creole | 5 | 0 | 0 | 0% |
| Creole, n.o.s. | 60 | 30 | 30 | 0.1% |
| Creole languages, n.i.e. | 35 | 15 | 20 | 0% |
| Dravidian languages | 1755 | 880 | 880 | 1.9% |
| Kannada | 30 | 20 | 10 | 0% |
| Malayalam | 115 | 70 | 45 | 0.1% |
| Tamil | 1400 | 665 | 735 | 1.5% |
| Telugu | 205 | 125 | 90 | 0.2% |
| Dravidian languages, n.i.e. | 0 | 5 | 0 | 0% |
| Hmong-Mien languages | 0 | 0 | 0 | 0% |
| Indo-European languages | 26305 | 12625 | 13680 | 27.8% |
| Albanian | 420 | 220 | 200 | 0.4% |
| Armenian | 995 | 495 | 500 | 1.1% |
| Balto-Slavic languages | 4500 | 2065 | 2435 | 4.8% |
| Baltic languages | 135 | 50 | 85 | 0.1% |
| Latvian | 110 | 40 | 75 | 0.1% |
| Lithuanian | 20 | 5 | 10 | 0% |
| Slavic languages | 4365 | 2020 | 2345 | 4.6% |
| Belarusan | 10 | 0 | 5 | 0% |
| Bosnian | 30 | 15 | 15 | 0% |
| Bulgarian | 455 | 215 | 235 | 0.5% |
| Croatian | 110 | 40 | 70 | 0.1% |
| Czech | 140 | 65 | 75 | 0.1% |
| Macedonian | 350 | 165 | 185 | 0.4% |
| Polish | 525 | 235 | 285 | 0.6% |
| Russian | 1010 | 435 | 575 | 1.1% |
| Serbian | 745 | 360 | 380 | 0.8% |
| Serbo-Croatian | 80 | 35 | 40 | 0.1% |
| Slovak | 750 | 375 | 375 | 0.8% |
| Slovene (Slovenian) | 20 | 15 | 5 | 0% |
| Ukrainian | 145 | 60 | 85 | 0.2% |
| Slavic languages, n.i.e. | 10 | 5 | 5 | 0% |
| Celtic languages | 5 | 5 | 5 | 0% |
| Scottish Gaelic | 0 | 0 | 0 | 0% |
| Welsh | 5 | 5 | 0 | 0% |
| Celtic languages, n.i.e. | 0 | 0 | 0 | 0% |
| Germanic languages | 775 | 320 | 460 | 0.8% |
| Afrikaans | 10 | 5 | 5 | 0% |
| Danish | 30 | 10 | 20 | 0% |
| Dutch | 115 | 50 | 65 | 0.1% |
| Frisian | 0 | 0 | 0 | 0% |
| German | 570 | 235 | 340 | 0.6% |
| Icelandic | 0 | 0 | 0 | 0% |
| Norwegian | 10 | 5 | 0 | 0% |
| Swedish | 20 | 10 | 5 | 0% |
| Vlaams (Flemish) | 5 | 5 | 0 | 0% |
| Yiddish | 20 | 15 | 5 | 0% |
| Germanic languages, n.i.e. | 0 | 0 | 0 | 0% |
| Greek | 2345 | 1120 | 1225 | 2.5% |
| Indo-Iranian languages | 12680 | 6275 | 6405 | 13.4% |
| Indo-Aryan languages | 8010 | 3930 | 4085 | 8.5% |
| Bengali | 1290 | 655 | 640 | 1.4% |
| Gujarati | 1865 | 900 | 965 | 2% |
| Hindi | 770 | 375 | 400 | 0.8% |
| Kashmiri | 0 | 0 | 0 | 0% |
| Konkani | 35 | 20 | 15 | 0% |
| Marathi | 65 | 30 | 30 | 0.1% |
| Nepali | 60 | 25 | 30 | 0.1% |
| Oriya (Odia) | 5 | 5 | 5 | 0% |
| Punjabi (Panjabi) | 275 | 145 | 130 | 0.3% |
| Sindhi | 575 | 245 | 330 | 0.6% |
| Sinhala (Sinhalese) | 165 | 80 | 90 | 0.2% |
| Urdu | 2900 | 1450 | 1450 | 3.1% |
| Iranian languages | 4555 | 2295 | 2260 | 4.8% |
| Kurdish | 180 | 95 | 85 | 0.2% |
| Pashto | 585 | 315 | 270 | 0.6% |
| Persian (Farsi) | 3785 | 1880 | 1905 | 4% |
| Indo-Iranian languages, n.i.e. | 115 | 55 | 55 | 0.1% |
| Italic (Romance) languages | 4585 | 2120 | 2465 | 4.8% |
| Catalan | 5 | 0 | 5 | 0% |
| Italian | 590 | 285 | 305 | 0.6% |
| Portuguese | 405 | 175 | 225 | 0.4% |
| Romanian | 1460 | 665 | 795 | 1.5% |
| Spanish | 2125 | 985 | 1140 | 2.2% |
| Italic (Romance) languages, n.i.e. | 5 | 0 | 5 | 0% |
| Japanese | 290 | 105 | 185 | 0.3% |
| Kartvelian languages | 15 | 10 | 5 | 0% |
| Georgian | 15 | 10 | 5 | 0% |
| Korean | 1050 | 475 | 575 | 1.1% |
| Mongolic languages | 5 | 0 | 5 | 0% |
| Mongolian | 0 | 0 | 0 | 0% |
| Niger-Congo languages | 505 | 235 | 275 | 0.5% |
| Akan (Twi) | 55 | 30 | 25 | 0.1% |
| Bamanankan | 0 | 0 | 5 | 0% |
| Edo | 5 | 0 | 5 | 0% |
| Ewe | 5 | 5 | 0 | 0% |
| Fulah (Pular, Pulaar, Fulfulde) | 25 | 15 | 10 | 0% |
| Ga | 5 | 0 | 0 | 0% |
| Ganda | 20 | 5 | 10 | 0% |
| Igbo | 10 | 5 | 5 | 0% |
| Lingala | 10 | 5 | 5 | 0% |
| Rundi (Kirundi) | 30 | 20 | 10 | 0% |
| Kinyarwanda (Rwanda) | 20 | 5 | 10 | 0% |
| Shona | 55 | 25 | 35 | 0.1% |
| Swahili | 140 | 60 | 75 | 0.1% |
| Wolof | 5 | 0 | 0 | 0% |
| Yoruba | 30 | 20 | 15 | 0% |
| Niger-Congo languages, n.i.e. | 90 | 40 | 55 | 0.1% |
| Nilo-Saharan languages | 10 | 5 | 5 | 0% |
| Dinka | 0 | 0 | 0 | 0% |
| Nilo-Saharan languages, n.i.e. | 10 | 5 | 0 | 0% |
| Sign languages | 15 | 10 | 10 | 0% |
| American Sign Language | 5 | 0 | 0 | 0% |
| Quebec Sign Language | 0 | 0 | 0 | 0% |
| Sign languages, n.i.e | 10 | 5 | 5 | 0% |
| Sino-Tibetan languages | 5520 | 2505 | 3020 | 5.8% |
| Chinese languages | 5480 | 2480 | 3000 | 5.8% |
| Cantonese | 2255 | 1005 | 1250 | 2.4% |
| Hakka | 50 | 15 | 25 | 0.1% |
| Mandarin | 2795 | 1280 | 1520 | 3% |
| Min Dong | 0 | 0 | 0 | 0% |
| Min Nan (Chaochow, Teochow, Fukien, Taiwanese) | 130 | 75 | 60 | 0.1% |
| Wu (Shanghainese) | 75 | 35 | 40 | 0.1% |
| Chinese, n.o.s. | 175 | 70 | 105 | 0.2% |
| Chinese languages, n.i.e. | 0 | 0 | 0 | 0% |
| Tibeto-Burman languages | 45 | 20 | 25 | 0% |
| Burmese | 5 | 5 | 5 | 0% |
| Karenic languages | 0 | 0 | 0 | 0% |
| Tibetan | 35 | 15 | 20 | 0% |
| Tibeto-Burman languages, n.i.e. | 5 | 5 | 0 | 0% |
| Tai-Kadai languages | 40 | 10 | 25 | 0% |
| Lao | 15 | 5 | 5 | 0% |
| Thai | 25 | 5 | 15 | 0% |
| Tai-Kadai languages, n.i.e | 0 | 0 | 0 | 0% |
| Turkic languages | 750 | 390 | 360 | 0.8% |
| Azerbaijani | 35 | 20 | 15 | 0% |
| Turkish | 600 | 310 | 285 | 0.6% |
| Uyghur | 65 | 35 | 30 | 0.1% |
| Uzbek | 35 | 20 | 15 | 0% |
| Turkic languages, n.i.e. | 20 | 10 | 15 | 0% |
| Uralic languages | 920 | 385 | 540 | 1% |
| Estonian | 190 | 75 | 120 | 0.2% |
| Finnish | 95 | 30 | 65 | 0.1% |
| Hungarian | 640 | 280 | 360 | 0.7% |
| Uralic languages, n.i.e. | 0 | 0 | 0 | 0% |
| Other languages, n.i.e. | 10 | 5 | 5 | 0% |
| Multiple responses | 4805 | 2280 | 2525 | 5.1% |
| English and French | 320 | 160 | 160 | 0.3% |
| English and non-official language | 4145 | 1960 | 2185 | 4.4% |
| French and non-official language | 200 | 85 | 115 | 0.2% |
| English, French and non-official language | 140 | 75 | 65 | 0.1% |
| Total - Language spoken most often at home for the total population excluding institutional residents - 100% data | 94030 | 44210 | 49820 | 99.4% |
| Single responses | 82855 | 38890 | 43960 | 87.6% |
| Official languages | 56170 | 26415 | 29760 | 59.4% |
| English | 55400 | 26060 | 29340 | 58.6% |
| French | 775 | 355 | 425 | 0.8% |
| Non-official languages | 26680 | 12480 | 14205 | 28.2% |
| Aboriginal languages | 5 | 5 | 5 | 0% |
| Algonquian languages | 0 | 0 | 0 | 0% |
| Blackfoot | 0 | 0 | 0 | 0% |
| Cree-Montagnais languages | 0 | 0 | 0 | 0% |
| Atikamekw | 0 | 0 | 0 | 0% |
| Montagnais (Innu) | 0 | 0 | 0 | 0% |
| Moose Cree | 0 | 0 | 0 | 0% |
| Naskapi | 0 | 0 | 0 | 0% |
| Northern East Cree | 0 | 0 | 0 | 0% |
| Plains Cree | 0 | 0 | 0 | 0% |
| Southern East Cree | 0 | 0 | 0 | 0% |
| Swampy Cree | 0 | 0 | 0 | 0% |
| Woods Cree | 0 | 0 | 0 | 0% |
| Cree, n.o.s. | 0 | 0 | 0 | 0% |
| Eastern Algonquian languages | 0 | 0 | 0 | 0% |
| Malecite | 0 | 0 | 0 | 0% |
| Mi'kmaq | 0 | 0 | 0 | 0% |
| Ojibway-Potawatomi languages | 0 | 0 | 5 | 0% |
| Algonquin | 0 | 0 | 0 | 0% |
| Ojibway | 0 | 0 | 0 | 0% |
| Oji-Cree | 0 | 0 | 0 | 0% |
| Ottawa (Odawa) | 0 | 0 | 0 | 0% |
| Algonquian languages, n.i.e. | 0 | 0 | 0 | 0% |
| Athabaskan languages | 0 | 0 | 0 | 0% |
| Northern Athabaskan languages | 0 | 0 | 0 | 0% |
| Babine (Wetsuwet'en) | 0 | 0 | 0 | 0% |
| Beaver | 0 | 0 | 0 | 0% |
| Carrier | 0 | 0 | 0 | 0% |
| Chilcotin | 0 | 0 | 0 | 0% |
| Dene | 0 | 0 | 0 | 0% |
| Dogrib (Tlicho) | 0 | 0 | 0 | 0% |
| Gwich'in | 0 | 0 | 0 | 0% |
| Sarsi (Sarcee) | 0 | 0 | 0 | 0% |
| Sekani | 0 | 0 | 0 | 0% |
| Slavey-Hare languages | 0 | 0 | 0 | 0% |
| North Slavey (Hare) | 0 | 0 | 0 | 0% |
| South Slavey | 0 | 0 | 0 | 0% |
| Slavey, n.o.s. | 0 | 0 | 0 | 0% |
| Tahltan languages | 0 | 0 | 0 | 0% |
| Kaska (Nahani) | 0 | 0 | 0 | 0% |
| Tahltan | 0 | 0 | 0 | 0% |
| Tutchone languages | 0 | 0 | 0 | 0% |
| Northern Tutchone | 0 | 0 | 0 | 0% |
| Southern Tutchone | 0 | 0 | 0 | 0% |
| Athabaskan languages, n.i.e. | 0 | 0 | 0 | 0% |
| Haida | 0 | 0 | 0 | 0% |
| Inuit languages | 0 | 0 | 0 | 0% |
| Inuinnaqtun (Inuvialuktun) | 0 | 0 | 0 | 0% |
| Inuktitut | 0 | 0 | 0 | 0% |
| Inuit languages, n.i.e. | 0 | 0 | 0 | 0% |
| Iroquoian languages | 0 | 0 | 0 | 0% |
| Cayuga | 0 | 0 | 0 | 0% |
| Mohawk | 0 | 0 | 0 | 0% |
| Oneida | 0 | 0 | 0 | 0% |
| Iroquoian languages, n.i.e. | 0 | 0 | 0 | 0% |
| Kutenai | 0 | 0 | 0 | 0% |
| Michif | 0 | 0 | 0 | 0% |
| Salish languages | 0 | 0 | 0 | 0% |
| Comox | 0 | 0 | 0 | 0% |
| Halkomelem | 0 | 0 | 0 | 0% |
| Lillooet | 0 | 0 | 0 | 0% |
| Okanagan | 0 | 0 | 0 | 0% |
| Shuswap (Secwepemctsin) | 0 | 0 | 0 | 0% |
| Squamish | 0 | 0 | 0 | 0% |
| Straits | 0 | 0 | 0 | 0% |
| Thompson (Ntlakapamux) | 0 | 0 | 0 | 0% |
| Salish languages, n.i.e. | 0 | 0 | 0 | 0% |
| Siouan languages | 0 | 0 | 0 | 0% |
| Dakota | 0 | 0 | 0 | 0% |
| Stoney | 0 | 0 | 0 | 0% |
| Siouan languages, n.i.e. | 0 | 0 | 0 | 0% |
| Tlingit | 0 | 0 | 0 | 0% |
| Tsimshian languages | 0 | 0 | 0 | 0% |
| Gitxsan (Gitksan) | 0 | 0 | 0 | 0% |
| Nisga'a | 0 | 0 | 0 | 0% |
| Tsimshian | 0 | 0 | 0 | 0% |
| Wakashan languages | 0 | 0 | 0 | 0% |
| Haisla | 0 | 0 | 0 | 0% |
| Heiltsuk | 0 | 0 | 0 | 0% |
| Kwakiutl (Kwak'wala) | 0 | 0 | 0 | 0% |
| Nuu-chah-nulth (Nootka) | 0 | 0 | 0 | 0% |
| Wakashan languages, n.i.e. | 0 | 0 | 0 | 0% |
| Aboriginal languages, n.o.s. | 5 | 0 | 5 | 0% |
| Non-Aboriginal languages | 26675 | 12475 | 14200 | 28.2% |
| Afro-Asiatic languages | 2215 | 1050 | 1165 | 2.3% |
| Berber languages | 0 | 0 | 0 | 0% |
| Kabyle | 0 | 0 | 0 | 0% |
| Berber languages, n.i.e. | 0 | 0 | 0 | 0% |
| Cushitic languages | 125 | 45 | 80 | 0.1% |
| Bilen | 0 | 0 | 0 | 0% |
| Oromo | 10 | 0 | 10 | 0% |
| Somali | 115 | 40 | 70 | 0.1% |
| Cushitic languages, n.i.e. | 0 | 0 | 0 | 0% |
| Semitic languages | 2095 | 1005 | 1085 | 2.2% |
| Amharic | 145 | 60 | 80 | 0.2% |
| Arabic | 1785 | 870 | 915 | 1.9% |
| Assyrian Neo-Aramaic | 10 | 5 | 5 | 0% |
| Chaldean Neo-Aramaic | 0 | 0 | 0 | 0% |
| Harari | 30 | 15 | 15 | 0% |
| Hebrew | 10 | 5 | 10 | 0% |
| Maltese | 0 | 0 | 0 | 0% |
| Tigrigna | 105 | 50 | 55 | 0.1% |
| Semitic languages, n.i.e. | 5 | 0 | 5 | 0% |
| Afro-Asiatic languages, n.i.e. | 0 | 0 | 0 | 0% |
| Austro-Asiatic languages | 135 | 55 | 75 | 0.1% |
| Khmer (Cambodian) | 0 | 0 | 0 | 0% |
| Vietnamese | 130 | 55 | 70 | 0.1% |
| Austro-Asiatic languages, n.i.e | 0 | 0 | 0 | 0% |
| Austronesian languages | 2175 | 905 | 1270 | 2.3% |
| Bikol | 10 | 0 | 5 | 0% |
| Cebuano | 35 | 15 | 20 | 0% |
| Fijian | 0 | 0 | 0 | 0% |
| Hiligaynon | 40 | 10 | 20 | 0% |
| Ilocano | 65 | 35 | 35 | 0.1% |
| Malagasy | 0 | 0 | 0 | 0% |
| Malay | 25 | 10 | 10 | 0% |
| Pampangan (Kapampangan, Pampango) | 5 | 5 | 5 | 0% |
| Pangasinan | 0 | 0 | 0 | 0% |
| Tagalog (Pilipino, Filipino) | 1975 | 810 | 1165 | 2.1% |
| Waray-Waray | 0 | 0 | 0 | 0% |
| Austronesian languages, n.i.e. | 20 | 5 | 10 | 0% |
| Creole languages | 55 | 25 | 35 | 0.1% |
| Haitian Creole | 0 | 0 | 0 | 0% |
| Creole, n.o.s. | 40 | 15 | 25 | 0% |
| Creole languages, n.i.e. | 10 | 5 | 5 | 0% |
| Dravidian languages | 1155 | 575 | 580 | 1.2% |
| Kannada | 20 | 10 | 5 | 0% |
| Malayalam | 55 | 35 | 20 | 0.1% |
| Tamil | 955 | 455 | 505 | 1% |
| Telugu | 130 | 80 | 45 | 0.1% |
| Dravidian languages, n.i.e. | 0 | 0 | 0 | 0% |
| Hmong-Mien languages | 0 | 0 | 0 | 0% |
| Indo-European languages | 15195 | 7220 | 7975 | 16.1% |
| Albanian | 180 | 95 | 85 | 0.2% |
| Armenian | 705 | 340 | 365 | 0.7% |
| Balto-Slavic languages | 2735 | 1285 | 1450 | 2.9% |
| Baltic languages | 45 | 15 | 30 | 0% |
| Latvian | 45 | 10 | 30 | 0% |
| Lithuanian | 5 | 0 | 5 | 0% |
| Slavic languages | 2685 | 1270 | 1410 | 2.8% |
| Belarusan | 0 | 5 | 0 | 0% |
| Bosnian | 20 | 10 | 10 | 0% |
| Bulgarian | 265 | 120 | 145 | 0.3% |
| Croatian | 40 | 20 | 25 | 0% |
| Czech | 55 | 30 | 25 | 0.1% |
| Macedonian | 160 | 70 | 85 | 0.2% |
| Polish | 215 | 90 | 120 | 0.2% |
| Russian | 640 | 300 | 345 | 0.7% |
| Serbian | 460 | 225 | 235 | 0.5% |
| Serbo-Croatian | 35 | 20 | 20 | 0% |
| Slovak | 725 | 355 | 375 | 0.8% |
| Slovene (Slovenian) | 0 | 5 | 0 | 0% |
| Ukrainian | 55 | 25 | 25 | 0.1% |
| Slavic languages, n.i.e. | 5 | 0 | 5 | 0% |
| Celtic languages | 0 | 0 | 0 | 0% |
| Scottish Gaelic | 0 | 0 | 0 | 0% |
| Welsh | 0 | 0 | 0 | 0% |
| Celtic languages, n.i.e. | 0 | 0 | 0 | 0% |
| Germanic languages | 80 | 35 | 50 | 0.1% |
| Afrikaans | 0 | 0 | 0 | 0% |
| Danish | 0 | 0 | 0 | 0% |
| Dutch | 0 | 0 | 5 | 0% |
| Frisian | 0 | 0 | 0 | 0% |
| German | 70 | 30 | 40 | 0.1% |
| Icelandic | 0 | 0 | 0 | 0% |
| Norwegian | 0 | 0 | 0 | 0% |
| Swedish | 5 | 0 | 5 | 0% |
| Vlaams (Flemish) | 0 | 0 | 0 | 0% |
| Yiddish | 0 | 0 | 0 | 0% |
| Germanic languages, n.i.e. | 0 | 0 | 0 | 0% |
| Greek | 1085 | 500 | 580 | 1.1% |
| Indo-Iranian languages | 7925 | 3815 | 4105 | 8.4% |
| Indo-Aryan languages | 4765 | 2275 | 2490 | 5% |
| Bengali | 860 | 435 | 420 | 0.9% |
| Gujarati | 1110 | 500 | 600 | 1.2% |
| Hindi | 455 | 225 | 230 | 0.5% |
| Kashmiri | 0 | 0 | 0 | 0% |
| Konkani | 10 | 5 | 10 | 0% |
| Marathi | 25 | 15 | 15 | 0% |
| Nepali | 35 | 15 | 15 | 0% |
| Oriya (Odia) | 5 | 5 | 5 | 0% |
| Punjabi (Panjabi) | 115 | 55 | 60 | 0.1% |
| Sindhi | 285 | 120 | 165 | 0.3% |
| Sinhala (Sinhalese) | 100 | 45 | 55 | 0.1% |
| Urdu | 1770 | 855 | 910 | 1.9% |
| Iranian languages | 3130 | 1530 | 1600 | 3.3% |
| Kurdish | 135 | 70 | 70 | 0.1% |
| Pashto | 395 | 195 | 200 | 0.4% |
| Persian (Farsi) | 2595 | 1265 | 1335 | 2.7% |
| Indo-Iranian languages, n.i.e. | 40 | 15 | 15 | 0% |
| Italic (Romance) languages | 2490 | 1150 | 1335 | 2.6% |
| Catalan | 5 | 5 | 0 | 0% |
| Italian | 160 | 65 | 95 | 0.2% |
| Portuguese | 150 | 65 | 85 | 0.2% |
| Romanian | 830 | 385 | 445 | 0.9% |
| Spanish | 1350 | 630 | 720 | 1.4% |
| Italic (Romance) languages, n.i.e. | 0 | 0 | 0 | 0% |
| Japanese | 130 | 55 | 80 | 0.1% |
| Kartvelian languages | 10 | 5 | 5 | 0% |
| Georgian | 10 | 5 | 5 | 0% |
| Korean | 755 | 350 | 405 | 0.8% |
| Mongolic languages | 0 | 0 | 5 | 0% |
| Mongolian | 0 | 0 | 0 | 0% |
| Niger-Congo languages | 165 | 65 | 100 | 0.2% |
| Akan (Twi) | 20 | 10 | 10 | 0% |
| Bamanankan | 5 | 0 | 0 | 0% |
| Edo | 5 | 0 | 0 | 0% |
| Ewe | 0 | 0 | 0 | 0% |
| Fulah (Pular, Pulaar, Fulfulde) | 15 | 5 | 10 | 0% |
| Ga | 0 | 0 | 0 | 0% |
| Ganda | 5 | 0 | 0 | 0% |
| Igbo | 5 | 0 | 0 | 0% |
| Lingala | 0 | 0 | 5 | 0% |
| Rundi (Kirundi) | 20 | 10 | 10 | 0% |
| Kinyarwanda (Rwanda) | 0 | 0 | 5 | 0% |
| Shona | 15 | 5 | 10 | 0% |
| Swahili | 40 | 15 | 25 | 0% |
| Wolof | 0 | 0 | 0 | 0% |
| Yoruba | 5 | 0 | 0 | 0% |
| Niger-Congo languages, n.i.e. | 30 | 10 | 20 | 0% |
| Nilo-Saharan languages | 5 | 0 | 0 | 0% |
| Dinka | 0 | 0 | 0 | 0% |
| Nilo-Saharan languages, n.i.e. | 5 | 5 | 0 | 0% |
| Sign languages | 20 | 15 | 10 | 0% |
| American Sign Language | 5 | 5 | 0 | 0% |
| Quebec Sign Language | 0 | 0 | 0 | 0% |
| Sign languages, n.i.e | 15 | 5 | 5 | 0% |
| Sino-Tibetan languages | 3765 | 1735 | 2035 | 4% |
| Chinese languages | 3740 | 1715 | 2020 | 4% |
| Cantonese | 1415 | 625 | 785 | 1.5% |
| Hakka | 10 | 5 | 0 | 0% |
| Mandarin | 2125 | 990 | 1135 | 2.2% |
| Min Dong | 0 | 0 | 0 | 0% |
| Min Nan (Chaochow, Teochow, Fukien, Taiwanese) | 45 | 20 | 25 | 0% |
| Wu (Shanghainese) | 45 | 25 | 25 | 0% |
| Chinese, n.o.s. | 105 | 50 | 55 | 0.1% |
| Chinese languages, n.i.e. | 0 | 0 | 0 | 0% |
| Tibeto-Burman languages | 25 | 15 | 10 | 0% |
| Burmese | 0 | 0 | 0 | 0% |
| Karenic languages | 0 | 0 | 0 | 0% |
| Tibetan | 25 | 15 | 15 | 0% |
| Tibeto-Burman languages, n.i.e. | 5 | 5 | 0 | 0% |
| Tai-Kadai languages | 10 | 10 | 5 | 0% |
| Lao | 0 | 0 | 0 | 0% |
| Thai | 10 | 5 | 5 | 0% |
| Tai-Kadai languages, n.i.e | 0 | 0 | 0 | 0% |
| Turkic languages | 495 | 255 | 245 | 0.5% |
| Azerbaijani | 20 | 5 | 10 | 0% |
| Turkish | 410 | 210 | 200 | 0.4% |
| Uyghur | 35 | 20 | 15 | 0% |
| Uzbek | 25 | 15 | 10 | 0% |
| Turkic languages, n.i.e. | 15 | 5 | 10 | 0% |
| Uralic languages | 375 | 150 | 220 | 0.4% |
| Estonian | 60 | 20 | 35 | 0.1% |
| Finnish | 25 | 10 | 15 | 0% |
| Hungarian | 285 | 125 | 165 | 0.3% |
| Uralic languages, n.i.e. | 0 | 0 | 0 | 0% |
| Other languages, n.i.e. | 5 | 0 | 0 | 0% |
| Multiple responses | 11180 | 5320 | 5860 | 11.8% |
| English and French | 260 | 120 | 135 | 0.3% |
| English and non-official language | 10505 | 4995 | 5515 | 11.1% |
| French and non-official language | 85 | 40 | 45 | 0.1% |
| English, French and non-official language | 325 | 160 | 165 | 0.3% |
| Total - Other language(s) spoken regularly at home for the total population excluding institutional residents - 100% data | 94035 | 44210 | 49820 | 99.4% |
| None | 67965 | 31855 | 36115 | 71.9% |
| English | 11350 | 5490 | 5860 | 12% |
| French | 940 | 430 | 510 | 1% |
| Non-official language | 13195 | 6160 | 7040 | 14% |
| Aboriginal | 10 | 0 | 5 | 0% |
| Non-Aboriginal | 13190 | 6155 | 7035 | 13.9% |
| English and French | 120 | 60 | 60 | 0.1% |
| English and non-official language | 285 | 140 | 145 | 0.3% |
| French and non-official language | 170 | 85 | 85 | 0.2% |
| English, French and non-official language | 5 | 0 | 5 | 0% |
| Total - Income statistics in 2015 for the population aged 15 years and over in private households - 100% data | 78195 | 36095 | 42105 | 82.7% |
| Number of total income recipients aged 15 years and over in private households - 100% data | 73640 | 33930 | 39710 | 77.9% |
| Median total income in 2015 among recipients ($) | 28434 | 30580 | 26926 | 30.1% |
| Number of after-tax income recipients aged 15 years and over in private households - 100% data | 73645 | 33930 | 39715 | 77.9% |
| Median after-tax income in 2015 among recipients ($) | 26649 | 28367 | 25378 | 28.2% |
| Number of market income recipients aged 15 years and over in private households - 100% data | 62045 | 29440 | 32610 | 65.6% |
| Median market income in 2015 among recipients ($) | 29625 | 32674 | 27018 | 31.3% |
| Number of government transfers recipients aged 15 years and over in private households - 100% data | 56005 | 24030 | 31975 | 59.2% |
| Median government transfers in 2015 among recipients ($) | 3843 | 1454 | 6288 | 4.1% |
| Number of employment income recipients aged 15 years and over in private households - 100% data | 50790 | 25135 | 25660 | 53.7% |
| Median employment income in 2015 among recipients ($) | 30882 | 32770 | 29147 | 32.7% |
| Total - Income statistics in 2015 for the population aged 15 years and over in private households - 25% sample data | 78080 | 36025 | 42050 | 82.6% |
| Number of total income recipients aged 15 years and over in private households - 25% sample data | 73365 | 33720 | 39645 | 77.6% |
| Average total income in 2015 among recipients ($) | 41842 | 46621 | 37778 | 44.2% |
| Number of after-tax income recipients aged 15 years and over in private households - 25% sample data | 73370 | 33725 | 39650 | 77.6% |
| Average after-tax income in 2015 among recipients ($) | 34951 | 38172 | 32212 | 37% |
| Number of market income recipients aged 15 years and over in private households - 25% sample data | 61895 | 29295 | 32600 | 65.4% |
| Average market income in 2015 among recipients ($) | 42909 | 48623 | 37775 | 45.4% |
| Number of government transfers recipients aged 15 years and over in private households - 25% sample data | 55780 | 23910 | 31870 | 59% |
| Average government transfers in 2015 among recipients ($) | 7424 | 6185 | 8353 | 7.8% |
| Number of employment income recipients aged 15 years and over in private households - 25% sample data | 50665 | 25115 | 25550 | 53.6% |
| Average employment income in 2015 among recipients ($) | 42467 | 46629 | 38377 | 44.9% |
| Total - Employment income statistics for the population aged 15 years and over in private households - 25% sample data | 78080 | 36025 | 42055 | 82.6% |
| Number of employment income recipients aged 15 years and over in private households who worked full year full time in 2015 - 25% sample data | 22545 | 12085 | 10460 | 23.8% |
| Median employment income in 2015 for full-year full-time workers ($) | 52296 | 54288 | 50361 | 55.3% |
| Average employment income in 2015 for full-year full-time workers ($) | 63848 | 68446 | 58536 | 67.5% |
| Composition of total income in 2015 of the population aged 15 years and over in private households (%) - 100% data | 100 | 100 | 100 | 0.1% |
| Market income (%) | 86 | 90 | 82 | 0.1% |
| Employment income (%) | 71 | 75 | 66 | 0.1% |
| Government transfers (%) | 14 | 10 | 18 | 0% |
| Total - Total income groups in 2015 for the population aged 15 years and over in private households - 100% data | 78195 | 36095 | 42100 | 82.7% |
| Without total income | 4555 | 2165 | 2395 | 4.8% |
| With total income | 73635 | 33930 | 39710 | 77.9% |
| Percentage with total income | 94 | 94 | 94 | 0.1% |
| Under $10,000 (including loss) | 13455 | 6340 | 7120 | 14.2% |
| $10,000 to $19,999 | 14230 | 5940 | 8295 | 15% |
| $20,000 to $29,999 | 10485 | 4475 | 6010 | 11.1% |
| $30,000 to $39,999 | 7785 | 3375 | 4410 | 8.2% |
| $40,000 to $49,999 | 6685 | 3015 | 3670 | 7.1% |
| $50,000 to $59,999 | 5065 | 2325 | 2740 | 5.4% |
| $60,000 to $69,999 | 3900 | 1875 | 2030 | 4.1% |
| $70,000 to $79,999 | 2945 | 1485 | 1460 | 3.1% |
| $80,000 to $89,999 | 2125 | 1120 | 1015 | 2.2% |
| $90,000 to $99,999 | 1775 | 915 | 860 | 1.9% |
| $100,000 and over | 5180 | 3065 | 2115 | 5.5% |
| $100,000 to $149,999 | 3460 | 1975 | 1485 | 3.7% |
| $150,000 and over | 1725 | 1095 | 625 | 1.8% |
| Total - After-tax income groups in 2015 for the population aged 15 years and over in private households - 100% data | 78195 | 36095 | 42105 | 82.7% |
| Without after-tax income | 4545 | 2160 | 2390 | 4.8% |
| With after-tax income | 73645 | 33930 | 39715 | 77.9% |
| Percentage with after-tax income | 94 | 94 | 94 | 0.1% |
| Under $10,000 (including loss) | 13665 | 6405 | 7260 | 14.4% |
| $10,000 to $19,999 | 14795 | 6215 | 8580 | 15.6% |
| $20,000 to $29,999 | 11790 | 5060 | 6730 | 12.5% |
| $30,000 to $39,999 | 9295 | 4130 | 5165 | 9.8% |
| $40,000 to $49,999 | 7470 | 3385 | 4085 | 7.9% |
| $50,000 to $59,999 | 5255 | 2485 | 2770 | 5.6% |
| $60,000 to $69,999 | 3660 | 1860 | 1800 | 3.9% |
| $70,000 to $79,999 | 2530 | 1335 | 1195 | 2.7% |
| $80,000 and over | 5175 | 3055 | 2125 | 5.5% |
| $80,000 to $89,999 | 1680 | 910 | 775 | 1.8% |
| $90,000 to $99,999 | 1005 | 555 | 450 | 1.1% |
| $100,000 and over | 2490 | 1590 | 900 | 2.6% |
| Total - Employment income groups in 2015 for the population aged 15 years and over in private households - 100% data | 78195 | 36090 | 42100 | 82.7% |
| Without employment income | 27405 | 10955 | 16445 | 29% |
| With employment income | 50790 | 25135 | 25660 | 53.7% |
| Percentage with employment income | 65 | 70 | 61 | 0.1% |
| Under $5,000 (including loss) | 7330 | 3420 | 3915 | 7.8% |
| $5,000 to $9,999 | 4375 | 2070 | 2310 | 4.6% |
| $10,000 to $19,999 | 7295 | 3535 | 3760 | 7.7% |
| $20,000 to $29,999 | 5875 | 2775 | 3100 | 6.2% |
| $30,000 to $39,999 | 5225 | 2495 | 2730 | 5.5% |
| $40,000 to $49,999 | 4850 | 2280 | 2565 | 5.1% |
| $50,000 to $59,999 | 3725 | 1825 | 1900 | 3.9% |
| $60,000 to $69,999 | 2905 | 1480 | 1420 | 3.1% |
| $70,000 to $79,999 | 2170 | 1155 | 1010 | 2.3% |
| $80,000 and over | 7050 | 4100 | 2950 | 7.5% |
| $80,000 to $89,999 | 1680 | 930 | 755 | 1.8% |
| $90,000 to $99,999 | 1470 | 765 | 700 | 1.6% |
| $100,000 and over | 3900 | 2410 | 1495 | 4.1% |
| Total - Income statistics in 2015 for private households by household size - 100% data | 38095 | 40.3% | ||
| Median total income of households in 2015 ($) | 60431 | 63.9% | ||
| Median after-tax income of households in 2015 ($) | 53942 | 57% | ||
| Total - Income statistics in 2015 for one-person private households - 100% data | 11855 | 12.5% | ||
| Median total income of one-person households in 2015 ($) | 40123 | 42.4% | ||
| Median after-tax income of one-person households in 2015 ($) | 35660 | 37.7% | ||
| Total - Income statistics in 2015 for two-or-more-person private households - 100% data | 26240 | 27.7% | ||
| Median total income of two-or-more-person households in 2015 ($) | 72667 | 76.8% | ||
| Median after-tax income of two-or-more-person households in 2015 ($) | 65419 | 69.2% | ||
| Total - Income statistics in 2015 for private households by household size - 25% sample data | 38070 | 40.3% | ||
| Average total income of households in 2015 ($) | 80648 | 85.3% | ||
| Average after-tax income of households in 2015 ($) | 67370 | 71.2% | ||
| Total - Income statistics in 2015 for one-person private households - 25% sample data | 11920 | 12.6% | ||
| Average total income of one-person households in 2015 ($) | 50605 | 53.5% | ||
| Average after-tax income of one-person households in 2015 ($) | 41774 | 44.2% | ||
| Total - Income statistics in 2015 for two-or-more-person private households - 25% sample data | 26150 | 27.6% | ||
| Average total income of two-or-more-person households in 2015 ($) | 94341 | 99.7% | ||
| Average after-tax income of two-or-more-person households in 2015 ($) | 79037 | 83.6% | ||
| Total - Household total income groups in 2015 for private households - 100% data | 38100 | 40.3% | ||
| Under $5,000 | 1025 | 1.1% | ||
| $5,000 to $9,999 | 590 | 0.6% | ||
| $10,000 to $14,999 | 1010 | 1.1% | ||
| $15,000 to $19,999 | 1870 | 2% | ||
| $20,000 to $24,999 | 1765 | 1.9% | ||
| $25,000 to $29,999 | 1870 | 2% | ||
| $30,000 to $34,999 | 1855 | 2% | ||
| $35,000 to $39,999 | 1820 | 1.9% | ||
| $40,000 to $44,999 | 1880 | 2% | ||
| $45,000 to $49,999 | 1800 | 1.9% | ||
| $50,000 to $59,999 | 3425 | 3.6% | ||
| $60,000 to $69,999 | 3010 | 3.2% | ||
| $70,000 to $79,999 | 2595 | 2.7% | ||
| $80,000 to $89,999 | 2165 | 2.3% | ||
| $90,000 to $99,999 | 1840 | 1.9% | ||
| $100,000 and over | 9570 | 10.1% | ||
| $100,000 to $124,999 | 3260 | 3.4% | ||
| $125,000 to $149,999 | 1995 | 2.1% | ||
| $150,000 to $199,999 | 2160 | 2.3% | ||
| $200,000 and over | 2160 | 2.3% | ||
| Total - Household after-tax income groups in 2015 for private households - 100% data | 38095 | 40.3% | ||
| Under $5,000 | 1075 | 1.1% | ||
| $5,000 to $9,999 | 595 | 0.6% | ||
| $10,000 to $14,999 | 1025 | 1.1% | ||
| $15,000 to $19,999 | 1935 | 2% | ||
| $20,000 to $24,999 | 1940 | 2.1% | ||
| $25,000 to $29,999 | 2065 | 2.2% | ||
| $30,000 to $34,999 | 2085 | 2.2% | ||
| $35,000 to $39,999 | 2225 | 2.4% | ||
| $40,000 to $44,999 | 2260 | 2.4% | ||
| $45,000 to $49,999 | 2200 | 2.3% | ||
| $50,000 to $59,999 | 3965 | 4.2% | ||
| $60,000 to $69,999 | 3325 | 3.5% | ||
| $70,000 to $79,999 | 2645 | 2.8% | ||
| $80,000 to $89,999 | 2105 | 2.2% | ||
| $90,000 to $99,999 | 1710 | 1.8% | ||
| $100,000 and over | 6960 | 7.4% | ||
| $100,000 to $124,999 | 2775 | 2.9% | ||
| $125,000 to $149,999 | 1595 | 1.7% | ||
| $150,000 and over | 2590 | 2.7% | ||
| Total - Income statistics in 2015 for economic families in private households - 100% data | 25190 | 26.6% | ||
| Median total income of economic families in 2015 ($) | 72223 | 76.4% | ||
| Median after-tax income of economic families in 2015 ($) | 65136 | 68.9% | ||
| Average family size of economic families | 3 | 0% | ||
| Total - Income statistics in 2015 for couple economic families without children or other relatives in private households - 100% data | 6960 | 7.4% | ||
| Median total income of couple economic families without children or other relatives in 2015 ($) | 75143 | 79.4% | ||
| Median after-tax income of couple economic families without children or other relatives in 2015 ($) | 66533 | 70.3% | ||
| Average family size of couple economic families without children or other relatives | 2 | 0% | ||
| Total - Income statistics in 2015 for couple economic families with children in private households - 100% data | 11555 | 12.2% | ||
| Median total income of couple economic families with children in 2015 ($) | 84658 | 89.5% | ||
| Median after-tax income of couple economic families with children in 2015 ($) | 76117 | 80.5% | ||
| Average family size of couple economic families with children | 4 | 0% | ||
| Total - Income statistics in 2015 for lone-parent economic families in private households - 100% data | 5655 | 6% | ||
| Median total income of lone-parent economic families in 2015 ($) | 51052 | 54% | ||
| Median after-tax income of lone-parent economic families in 2015 ($) | 47855 | 50.6% | ||
| Average family size of lone-parent economic families | 3 | 0% | ||
| Total - Income statistics in 2015 for economic families in private households - 25% sample data | 25030 | 26.5% | ||
| Average total income of economic families in 2015 ($) | 94811 | 100.2% | ||
| Average after-tax income of economic families in 2015 ($) | 79293 | 83.8% | ||
| Total - Income statistics in 2015 for couple economic families without children or other relatives in private households - 25% sample data | 6865 | 7.3% | ||
| Average total income of couple economic families without children or other relatives in 2015 ($) | 94404 | 99.8% | ||
| Average after-tax income of couple economic families without children or other relatives in 2015 ($) | 77570 | 82% | ||
| Total - Income statistics in 2015 for couple economic families with children in private households - 25% sample data | 11515 | 12.2% | ||
| Average total income of couple economic families with children in 2015 ($) | 111310 | 117.7% | ||
| Average after-tax income of couple economic families with children in 2015 ($) | 92462 | 97.8% | ||
| Total - Income statistics in 2015 for lone-parent economic families in private households - 25% sample data | 5600 | 5.9% | ||
| Average total income of lone-parent economic families in 2015 ($) | 62935 | 66.5% | ||
| Average after-tax income of lone-parent economic families in 2015 ($) | 55462 | 58.6% | ||
| Total - Income statistics in 2015 for persons aged 15 years and over not in economic families in private households - 100% data | 15050 | 6375 | 8670 | 15.9% |
| Median total income in 2015 for persons aged 15 years and over not in economic families ($) | 35578 | 35235 | 35708 | 37.6% |
| Median after-tax income in 2015 for persons aged 15 years and over not in economic families ($) | 32085 | 31563 | 32384 | 33.9% |
| Total - Income statistics in 2015 for persons aged 15 years and over not in economic families in private households - 25% sample data | 15040 | 6345 | 8700 | 15.9% |
| Average total income in 2015 for persons aged 15 years and over not in economic families ($) | 46310 | 48230 | 44911 | 49% |
| Average after-tax income in 2015 for persons aged 15 years and over not in economic families ($) | 38535 | 39220 | 38035 | 40.7% |
| Total - Economic family income decile group for the population in private households - 100% data | 93355 | 43970 | 49390 | 98.7% |
| In the bottom half of the distribution | 55950 | 25955 | 29995 | 59.2% |
| In the bottom decile | 14640 | 6950 | 7695 | 15.5% |
| In the second decile | 13330 | 6095 | 7235 | 14.1% |
| In the third decile | 10810 | 5005 | 5800 | 11.4% |
| In the fourth decile | 9000 | 4105 | 4895 | 9.5% |
| In the fifth decile | 8170 | 3795 | 4370 | 8.6% |
| In the top half of the distribution | 37410 | 18015 | 19395 | 39.6% |
| In the sixth decile | 7825 | 3675 | 4150 | 8.3% |
| In the seventh decile | 7210 | 3375 | 3835 | 7.6% |
| In the eighth decile | 6820 | 3300 | 3520 | 7.2% |
| In the ninth decile | 7265 | 3555 | 3715 | 7.7% |
| In the top decile | 8290 | 4105 | 4180 | 8.8% |
| Total - Low-income status in 2015 for the population in private households to whom low-income concepts are applicable - 100% data | 93355 | 43970 | 49390 | 98.7% |
| 0 to 17 years | 18470 | 9585 | 8885 | 19.5% |
| 0 to 5 years | 6050 | 3120 | 2925 | 6.4% |
| 18 to 64 years | 58765 | 27775 | 30985 | 62.1% |
| 65 years and over | 16120 | 6600 | 9515 | 17% |
| In low income based on the Low-income measure, after tax (LIM-AT) | 21865 | 10170 | 11695 | 23.1% |
| 0 to 17 years | 6255 | 3230 | 3025 | 6.6% |
| 0 to 5 years | 2095 | 1070 | 1025 | 2.2% |
| 18 to 64 years | 12745 | 5880 | 6865 | 13.5% |
| 65 years and over | 2865 | 1060 | 1805 | 3% |
| Prevalence of low income based on the Low-income measure, after tax (LIM-AT) (%) | 23 | 23 | 24 | 0% |
| 0 to 17 years (%) | 34 | 34 | 34 | 0% |
| 0 to 5 years (%) | 35 | 34 | 35 | 0% |
| 18 to 64 years (%) | 22 | 21 | 22 | 0% |
| 65 years and over (%) | 18 | 16 | 19 | 0% |
| In low income based on the Low-income cut-offs, after tax (LICO-AT) | 17355 | 8160 | 9190 | 18.3% |
| 0 to 17 years | 4920 | 2535 | 2380 | 5.2% |
| 0 to 5 years | 1660 | 845 | 815 | 1.8% |
| 18 to 64 years | 10610 | 4990 | 5615 | 11.2% |
| 65 years and over | 1825 | 630 | 1195 | 1.9% |
| Prevalence of low income based on the Low-income cut-offs, after tax (LICO-AT) (%) | 19 | 19 | 19 | 0% |
| 0 to 17 years (%) | 27 | 26 | 27 | 0% |
| 0 to 5 years (%) | 27 | 27 | 28 | 0% |
| 18 to 64 years (%) | 18 | 18 | 18 | 0% |
| 65 years and over (%) | 11 | 10 | 13 | 0% |
| Total - Knowledge of languages for the population in private households - 25% sample data | 93165 | 43920 | 49245 | 98.5% |
| Official languages | 89400 | 42465 | 46935 | 94.5% |
| English | 89220 | 42385 | 46830 | 94.3% |
| French | 8380 | 3700 | 4685 | 8.9% |
| Non-official languages | 56150 | 26345 | 29810 | 59.4% |
| Aboriginal languages | 15 | 0 | 15 | 0% |
| Algonquian languages | 10 | 0 | 10 | 0% |
| Blackfoot | 0 | 0 | 0 | 0% |
| Cree-Montagnais languages | 10 | 0 | 10 | 0% |
| Atikamekw | 0 | 0 | 0 | 0% |
| Montagnais (Innu) | 0 | 0 | 0 | 0% |
| Moose Cree | 0 | 0 | 0 | 0% |
| Naskapi | 0 | 0 | 0 | 0% |
| Northern East Cree | 0 | 0 | 0 | 0% |
| Plains Cree | 0 | 0 | 0 | 0% |
| Southern East Cree | 0 | 0 | 0 | 0% |
| Swampy Cree | 0 | 0 | 0 | 0% |
| Woods Cree | 0 | 0 | 0 | 0% |
| Cree, n.o.s. | 0 | 0 | 0 | 0% |
| Eastern Algonquian languages | 0 | 0 | 0 | 0% |
| Malecite | 0 | 0 | 0 | 0% |
| Mi'kmaq | 0 | 0 | 0 | 0% |
| Ojibway-Potawatomi languages | 10 | 0 | 0 | 0% |
| Algonquin | 0 | 0 | 0 | 0% |
| Ojibway | 0 | 0 | 0 | 0% |
| Oji-Cree | 0 | 0 | 0 | 0% |
| Ottawa (Odawa) | 0 | 0 | 0 | 0% |
| Algonquian languages, n.i.e. | 0 | 0 | 0 | 0% |
| Athabaskan languages | 0 | 0 | 0 | 0% |
| Northern Athabaskan languages | 0 | 0 | 0 | 0% |
| Babine (Wetsuwet'en) | 0 | 0 | 0 | 0% |
| Beaver | 0 | 0 | 0 | 0% |
| Carrier | 0 | 0 | 0 | 0% |
| Chilcotin | 0 | 0 | 0 | 0% |
| Dene | 0 | 0 | 0 | 0% |
| Dogrib (Tlicho) | 0 | 0 | 0 | 0% |
| Gwich'in | 0 | 0 | 0 | 0% |
| Sarsi (Sarcee) | 0 | 0 | 0 | 0% |
| Sekani | 0 | 0 | 0 | 0% |
| Slavey-Hare languages | 0 | 0 | 0 | 0% |
| North Slavey (Hare) | 0 | 0 | 0 | 0% |
| South Slavey | 0 | 0 | 0 | 0% |
| Slavey, n.o.s. | 0 | 0 | 0 | 0% |
| Tahltan languages | 0 | 0 | 0 | 0% |
| Kaska (Nahani) | 0 | 0 | 0 | 0% |
| Tahltan | 0 | 0 | 0 | 0% |
| Tutchone languages | 0 | 0 | 0 | 0% |
| Northern Tutchone | 0 | 0 | 0 | 0% |
| Southern Tutchone | 0 | 0 | 0 | 0% |
| Athabaskan languages, n.i.e. | 0 | 0 | 0 | 0% |
| Haida | 0 | 0 | 0 | 0% |
| Inuit languages | 0 | 0 | 0 | 0% |
| Inuinnaqtun (Inuvialuktun) | 0 | 0 | 0 | 0% |
| Inuktitut | 0 | 0 | 0 | 0% |
| Inuit languages, n.i.e. | 0 | 0 | 0 | 0% |
| Iroquoian languages | 0 | 0 | 0 | 0% |
| Cayuga | 0 | 0 | 0 | 0% |
| Mohawk | 0 | 0 | 0 | 0% |
| Oneida | 0 | 0 | 0 | 0% |
| Iroquoian languages, n.i.e. | 0 | 0 | 0 | 0% |
| Kutenai | 0 | 0 | 0 | 0% |
| Michif | 0 | 0 | 0 | 0% |
| Salish languages | 0 | 0 | 0 | 0% |
| Comox | 0 | 0 | 0 | 0% |
| Halkomelem | 0 | 0 | 0 | 0% |
| Lillooet | 0 | 0 | 0 | 0% |
| Okanagan | 0 | 0 | 0 | 0% |
| Shuswap (Secwepemctsin) | 0 | 0 | 0 | 0% |
| Squamish | 0 | 0 | 0 | 0% |
| Straits | 0 | 0 | 0 | 0% |
| Thompson (Ntlakapamux) | 0 | 0 | 0 | 0% |
| Salish languages, n.i.e. | 0 | 0 | 0 | 0% |
| Siouan languages | 0 | 0 | 0 | 0% |
| Dakota | 0 | 0 | 0 | 0% |
| Stoney | 0 | 0 | 0 | 0% |
| Siouan languages, n.i.e. | 0 | 0 | 0 | 0% |
| Tlingit | 0 | 0 | 0 | 0% |
| Tsimshian languages | 0 | 0 | 0 | 0% |
| Gitxsan (Gitksan) | 0 | 0 | 0 | 0% |
| Nisga'a | 0 | 0 | 0 | 0% |
| Tsimshian | 0 | 0 | 0 | 0% |
| Wakashan languages | 0 | 0 | 0 | 0% |
| Haisla | 0 | 0 | 0 | 0% |
| Heiltsuk | 0 | 0 | 0 | 0% |
| Kwakiutl (Kwak'wala) | 0 | 0 | 0 | 0% |
| Nuu-chah-nulth (Nootka) | 0 | 0 | 0 | 0% |
| Wakashan languages, n.i.e. | 0 | 0 | 0 | 0% |
| Aboriginal languages, n.o.s. | 0 | 0 | 0 | 0% |
| Non-Aboriginal languages | 56140 | 26345 | 29790 | 59.4% |
| Afro-Asiatic languages | 5525 | 2725 | 2795 | 5.8% |
| Berber languages | 25 | 15 | 10 | 0% |
| Kabyle | 15 | 0 | 0 | 0% |
| Berber languages, n.i.e. | 15 | 10 | 0 | 0% |
| Cushitic languages | 405 | 135 | 270 | 0.4% |
| Bilen | 10 | 0 | 0 | 0% |
| Oromo | 55 | 20 | 35 | 0.1% |
| Somali | 345 | 110 | 235 | 0.4% |
| Cushitic languages, n.i.e. | 0 | 0 | 0 | 0% |
| Semitic languages | 5205 | 2625 | 2585 | 5.5% |
| Amharic | 380 | 160 | 220 | 0.4% |
| Arabic | 4465 | 2285 | 2175 | 4.7% |
| Assyrian Neo-Aramaic | 35 | 20 | 15 | 0% |
| Chaldean Neo-Aramaic | 0 | 0 | 0 | 0% |
| Harari | 20 | 0 | 10 | 0% |
| Hebrew | 155 | 85 | 70 | 0.2% |
| Maltese | 25 | 10 | 15 | 0% |
| Tigrigna | 235 | 105 | 130 | 0.2% |
| Semitic languages, n.i.e. | 25 | 10 | 15 | 0% |
| Afro-Asiatic languages, n.i.e. | 0 | 0 | 0 | 0% |
| Austro-Asiatic languages | 355 | 170 | 180 | 0.4% |
| Khmer (Cambodian) | 10 | 0 | 0 | 0% |
| Vietnamese | 350 | 170 | 180 | 0.4% |
| Austro-Asiatic languages, n.i.e | 0 | 0 | 0 | 0% |
| Austronesian languages | 5790 | 2300 | 3490 | 6.1% |
| Bikol | 35 | 15 | 15 | 0% |
| Cebuano | 240 | 110 | 135 | 0.3% |
| Fijian | 0 | 0 | 0 | 0% |
| Hiligaynon | 65 | 15 | 50 | 0.1% |
| Ilocano | 355 | 185 | 175 | 0.4% |
| Malagasy | 0 | 0 | 0 | 0% |
| Malay | 135 | 55 | 80 | 0.1% |
| Pampangan (Kapampangan, Pampango) | 45 | 20 | 20 | 0% |
| Pangasinan | 10 | 10 | 0 | 0% |
| Tagalog (Pilipino, Filipino) | 5560 | 2205 | 3355 | 5.9% |
| Waray-Waray | 10 | 0 | 10 | 0% |
| Austronesian languages, n.i.e. | 25 | 10 | 15 | 0% |
| Creole languages | 285 | 120 | 160 | 0.3% |
| Haitian Creole | 15 | 10 | 10 | 0% |
| Creole, n.o.s. | 130 | 50 | 75 | 0.1% |
| Creole languages, n.i.e. | 140 | 60 | 85 | 0.1% |
| Dravidian languages | 2205 | 1075 | 1130 | 2.3% |
| Kannada | 25 | 10 | 15 | 0% |
| Malayalam | 125 | 60 | 60 | 0.1% |
| Tamil | 1855 | 850 | 1000 | 2% |
| Telugu | 265 | 175 | 95 | 0.3% |
| Dravidian languages, n.i.e. | 0 | 0 | 0 | 0% |
| Hmong-Mien languages | 0 | 0 | 0 | 0% |
| Indo-European languages | 33295 | 16130 | 17160 | 35.2% |
| Albanian | 525 | 265 | 260 | 0.6% |
| Armenian | 1210 | 590 | 615 | 1.3% |
| Balto-Slavic languages | 5275 | 2495 | 2785 | 5.6% |
| Baltic languages | 180 | 70 | 115 | 0.2% |
| Latvian | 165 | 65 | 100 | 0.2% |
| Lithuanian | 15 | 0 | 10 | 0% |
| Slavic languages | 5140 | 2440 | 2700 | 5.4% |
| Belarusan | 0 | 0 | 0 | 0% |
| Bosnian | 60 | 25 | 35 | 0.1% |
| Bulgarian | 515 | 245 | 270 | 0.5% |
| Croatian | 265 | 115 | 150 | 0.3% |
| Czech | 200 | 105 | 95 | 0.2% |
| Macedonian | 390 | 155 | 235 | 0.4% |
| Polish | 615 | 265 | 345 | 0.7% |
| Russian | 1555 | 755 | 800 | 1.6% |
| Serbian | 980 | 480 | 500 | 1% |
| Serbo-Croatian | 75 | 45 | 35 | 0.1% |
| Slovak | 825 | 410 | 415 | 0.9% |
| Slovene (Slovenian) | 35 | 20 | 20 | 0% |
| Ukrainian | 230 | 95 | 130 | 0.2% |
| Slavic languages, n.i.e. | 0 | 0 | 0 | 0% |
| Celtic languages | 15 | 10 | 10 | 0% |
| Scottish Gaelic | 10 | 10 | 0 | 0% |
| Welsh | 0 | 0 | 0 | 0% |
| Celtic languages, n.i.e. | 10 | 0 | 10 | 0% |
| Germanic languages | 1400 | 605 | 795 | 1.5% |
| Afrikaans | 40 | 10 | 30 | 0% |
| Danish | 50 | 25 | 25 | 0.1% |
| Dutch | 175 | 85 | 95 | 0.2% |
| Frisian | 0 | 0 | 0 | 0% |
| German | 1080 | 470 | 610 | 1.1% |
| Icelandic | 0 | 0 | 0 | 0% |
| Norwegian | 0 | 0 | 0 | 0% |
| Swedish | 70 | 20 | 45 | 0.1% |
| Vlaams (Flemish) | 10 | 0 | 10 | 0% |
| Yiddish | 0 | 0 | 0 | 0% |
| Germanic languages, n.i.e. | 0 | 0 | 10 | 0% |
| Greek | 3005 | 1450 | 1555 | 3.2% |
| Indo-Iranian languages | 16830 | 8450 | 8380 | 17.8% |
| Indo-Aryan languages | 11540 | 5670 | 5870 | 12.2% |
| Bengali | 1615 | 820 | 795 | 1.7% |
| Gujarati | 3310 | 1500 | 1815 | 3.5% |
| Hindi | 3015 | 1505 | 1510 | 3.2% |
| Kashmiri | 0 | 0 | 0 | 0% |
| Konkani | 40 | 15 | 25 | 0% |
| Marathi | 140 | 80 | 65 | 0.1% |
| Nepali | 130 | 65 | 70 | 0.1% |
| Oriya (Odia) | 30 | 20 | 10 | 0% |
| Punjabi (Panjabi) | 740 | 410 | 335 | 0.8% |
| Sindhi | 920 | 420 | 500 | 1% |
| Sinhala (Sinhalese) | 310 | 170 | 140 | 0.3% |
| Urdu | 4845 | 2410 | 2435 | 5.1% |
| Iranian languages | 5585 | 2925 | 2665 | 5.9% |
| Kurdish | 250 | 125 | 125 | 0.3% |
| Pashto | 880 | 515 | 360 | 0.9% |
| Persian (Farsi) | 4800 | 2505 | 2295 | 5.1% |
| Indo-Iranian languages, n.i.e. | 140 | 70 | 70 | 0.1% |
| Italic (Romance) languages | 6235 | 2875 | 3360 | 6.6% |
| Catalan | 10 | 0 | 10 | 0% |
| Italian | 1065 | 550 | 520 | 1.1% |
| Portuguese | 550 | 260 | 290 | 0.6% |
| Romanian | 1640 | 710 | 920 | 1.7% |
| Spanish | 3285 | 1495 | 1795 | 3.5% |
| Italic (Romance) languages, n.i.e. | 10 | 0 | 10 | 0% |
| Japanese | 380 | 200 | 185 | 0.4% |
| Kartvelian languages | 15 | 15 | 10 | 0% |
| Georgian | 15 | 10 | 10 | 0% |
| Korean | 1205 | 535 | 670 | 1.3% |
| Mongolic languages | 10 | 0 | 10 | 0% |
| Mongolian | 10 | 0 | 10 | 0% |
| Niger-Congo languages | 1230 | 600 | 630 | 1.3% |
| Akan (Twi) | 70 | 35 | 40 | 0.1% |
| Bamanankan | 0 | 0 | 0 | 0% |
| Edo | 0 | 0 | 10 | 0% |
| Ewe | 10 | 10 | 0 | 0% |
| Fulah (Pular, Pulaar, Fulfulde) | 55 | 25 | 25 | 0.1% |
| Ga | 20 | 10 | 10 | 0% |
| Ganda | 30 | 20 | 10 | 0% |
| Igbo | 35 | 15 | 25 | 0% |
| Lingala | 120 | 50 | 65 | 0.1% |
| Rundi (Kirundi) | 40 | 30 | 0 | 0% |
| Kinyarwanda (Rwanda) | 20 | 10 | 0 | 0% |
| Shona | 125 | 50 | 70 | 0.1% |
| Swahili | 510 | 235 | 275 | 0.5% |
| Wolof | 25 | 15 | 15 | 0% |
| Yoruba | 75 | 45 | 35 | 0.1% |
| Niger-Congo languages, n.i.e. | 190 | 95 | 95 | 0.2% |
| Nilo-Saharan languages | 15 | 10 | 0 | 0% |
| Dinka | 0 | 0 | 0 | 0% |
| Nilo-Saharan languages, n.i.e. | 15 | 10 | 10 | 0% |
| Sign languages | 125 | 50 | 75 | 0.1% |
| American Sign Language | 70 | 20 | 45 | 0.1% |
| Quebec Sign Language | 0 | 0 | 0 | 0% |
| Sign languages, n.i.e | 60 | 30 | 30 | 0.1% |
| Sino-Tibetan languages | 6170 | 2805 | 3360 | 6.5% |
| Chinese languages | 6120 | 2785 | 3335 | 6.5% |
| Cantonese | 2765 | 1250 | 1515 | 2.9% |
| Hakka | 55 | 25 | 30 | 0.1% |
| Mandarin | 3725 | 1725 | 1995 | 3.9% |
| Min Dong | 0 | 0 | 0 | 0% |
| Min Nan (Chaochow, Teochow, Fukien, Taiwanese) | 150 | 70 | 80 | 0.2% |
| Wu (Shanghainese) | 120 | 50 | 65 | 0.1% |
| Chinese, n.o.s. | 175 | 60 | 110 | 0.2% |
| Chinese languages, n.i.e. | 0 | 0 | 0 | 0% |
| Tibeto-Burman languages | 45 | 15 | 30 | 0% |
| Burmese | 15 | 10 | 10 | 0% |
| Karenic languages | 0 | 0 | 0 | 0% |
| Tibetan | 30 | 10 | 20 | 0% |
| Tibeto-Burman languages, n.i.e. | 0 | 0 | 0 | 0% |
| Tai-Kadai languages | 45 | 15 | 25 | 0% |
| Lao | 0 | 0 | 0 | 0% |
| Thai | 40 | 15 | 25 | 0% |
| Tai-Kadai languages, n.i.e | 0 | 0 | 0 | 0% |
| Turkic languages | 1170 | 550 | 620 | 1.2% |
| Azerbaijani | 75 | 45 | 30 | 0.1% |
| Turkish | 1000 | 445 | 555 | 1.1% |
| Uyghur | 85 | 45 | 45 | 0.1% |
| Uzbek | 35 | 30 | 10 | 0% |
| Turkic languages, n.i.e. | 15 | 10 | 10 | 0% |
| Uralic languages | 925 | 375 | 555 | 1% |
| Estonian | 145 | 60 | 85 | 0.2% |
| Finnish | 95 | 35 | 60 | 0.1% |
| Hungarian | 685 | 275 | 410 | 0.7% |
| Uralic languages, n.i.e. | 0 | 0 | 0 | 0% |
| Other languages, n.i.e. | 30 | 15 | 15 | 0% |
| Total - Citizenship for the population in private households - 25% sample data | 93165 | 43920 | 49245 | 98.5% |
| Canadian citizens | 78905 | 37140 | 41765 | 83.4% |
| Canadian citizens aged under 18 | 15905 | 8305 | 7595 | 16.8% |
| Canadian citizens aged 18 and over | 62995 | 28830 | 34170 | 66.6% |
| Not Canadian citizens | 14265 | 6785 | 7480 | 15.1% |
| Total - Immigrant status and period of immigration for the population in private households - 25% sample data | 93170 | 43920 | 49245 | 98.5% |
| Non-immigrants | 40775 | 20040 | 20735 | 43.1% |
| Immigrants | 49825 | 22520 | 27310 | 52.7% |
| Before 1981 | 10995 | 4615 | 6380 | 11.6% |
| 1981 to 1990 | 5780 | 2620 | 3155 | 6.1% |
| 1991 to 2000 | 10665 | 4870 | 5795 | 11.3% |
| 2001 to 2010 | 13860 | 6310 | 7545 | 14.7% |
| 2001 to 2005 | 6650 | 2990 | 3665 | 7% |
| 2006 to 2010 | 7205 | 3320 | 3880 | 7.6% |
| 2011 to 2016 | 8525 | 4100 | 4430 | 9% |
| Non-permanent residents | 2565 | 1365 | 1205 | 2.7% |
| Total - Age at immigration for the immigrant population in private households - 25% sample data | 49830 | 22515 | 27315 | 52.7% |
| Under 5 years | 3770 | 1885 | 1885 | 4% |
| 5 to 14 years | 7985 | 3985 | 4000 | 8.4% |
| 15 to 24 years | 9775 | 4090 | 5690 | 10.3% |
| 25 to 44 years | 22835 | 10195 | 12635 | 24.1% |
| 45 years and over | 5470 | 2360 | 3105 | 5.8% |
| Total - Selected places of birth for the immigrant population in private households - 25% sample data | 49830 | 22520 | 27310 | 52.7% |
| Americas | 6460 | 2580 | 3880 | 6.8% |
| Brazil | 110 | 35 | 80 | 0.1% |
| Colombia | 695 | 330 | 365 | 0.7% |
| El Salvador | 100 | 35 | 65 | 0.1% |
| Guyana | 950 | 375 | 580 | 1% |
| Haiti | 55 | 25 | 30 | 0.1% |
| Jamaica | 1270 | 455 | 810 | 1.3% |
| Mexico | 215 | 100 | 120 | 0.2% |
| Peru | 90 | 35 | 60 | 0.1% |
| Trinidad and Tobago | 725 | 235 | 495 | 0.8% |
| United States | 740 | 370 | 375 | 0.8% |
| Other places of birth in Americas | 1495 | 585 | 910 | 1.6% |
| Europe | 10300 | 4580 | 5720 | 10.9% |
| Bosnia and Herzegovina | 290 | 135 | 155 | 0.3% |
| Croatia | 80 | 35 | 45 | 0.1% |
| France | 115 | 50 | 65 | 0.1% |
| Germany | 435 | 175 | 265 | 0.5% |
| Greece | 1325 | 615 | 710 | 1.4% |
| Hungary | 290 | 125 | 170 | 0.3% |
| Ireland | 130 | 50 | 80 | 0.1% |
| Italy | 370 | 195 | 180 | 0.4% |
| Netherlands | 115 | 60 | 60 | 0.1% |
| Poland | 460 | 190 | 265 | 0.5% |
| Portugal | 205 | 100 | 110 | 0.2% |
| Romania | 1400 | 605 | 795 | 1.5% |
| Russian Federation | 445 | 205 | 240 | 0.5% |
| Serbia | 520 | 240 | 275 | 0.5% |
| Ukraine | 240 | 110 | 130 | 0.3% |
| United Kingdom | 1675 | 670 | 1010 | 1.8% |
| Other places of birth in Europe | 2185 | 1015 | 1175 | 2.3% |
| Africa | 4710 | 2110 | 2605 | 5% |
| Algeria | 65 | 30 | 30 | 0.1% |
| Egypt | 585 | 290 | 295 | 0.6% |
| Ethiopia | 390 | 150 | 245 | 0.4% |
| Kenya | 470 | 205 | 270 | 0.5% |
| Morocco | 120 | 50 | 70 | 0.1% |
| Nigeria | 125 | 55 | 65 | 0.1% |
| Somalia | 260 | 85 | 175 | 0.3% |
| South Africa, Republic of | 190 | 85 | 105 | 0.2% |
| Other places of birth in Africa | 2500 | 1160 | 1345 | 2.6% |
| Asia | 28265 | 13200 | 15060 | 29.9% |
| Afghanistan | 1910 | 935 | 975 | 2% |
| Bangladesh | 1250 | 635 | 620 | 1.3% |
| China | 3220 | 1435 | 1780 | 3.4% |
| Hong Kong | 1060 | 475 | 585 | 1.1% |
| India | 3305 | 1625 | 1675 | 3.5% |
| Iran | 1880 | 955 | 925 | 2% |
| Iraq | 440 | 205 | 235 | 0.5% |
| Japan | 110 | 40 | 65 | 0.1% |
| Korea, South | 865 | 370 | 495 | 0.9% |
| Lebanon | 635 | 330 | 305 | 0.7% |
| Pakistan | 2800 | 1400 | 1395 | 3% |
| Philippines | 5460 | 2165 | 3295 | 5.8% |
| Sri Lanka | 1445 | 710 | 735 | 1.5% |
| Syria | 925 | 465 | 460 | 1% |
| Taiwan | 255 | 110 | 145 | 0.3% |
| Viet Nam | 375 | 150 | 225 | 0.4% |
| Other places of birth in Asia | 2340 | 1185 | 1160 | 2.5% |
| Oceania and other places of birth | 100 | 45 | 55 | 0.1% |
| Total - Selected places of birth for the recent immigrant population in private households - 25% sample data | 8525 | 4095 | 4430 | 9% |
| Americas | 715 | 345 | 365 | 0.8% |
| Brazil | 30 | 10 | 15 | 0% |
| Colombia | 130 | 65 | 70 | 0.1% |
| Cuba | 60 | 20 | 45 | 0.1% |
| Haiti | 20 | 15 | 10 | 0% |
| Jamaica | 85 | 50 | 45 | 0.1% |
| Mexico | 85 | 45 | 40 | 0.1% |
| United States | 115 | 60 | 55 | 0.1% |
| Venezuela | 15 | 10 | 10 | 0% |
| Other places of birth in Americas | 170 | 75 | 90 | 0.2% |
| Europe | 960 | 470 | 490 | 1% |
| France | 10 | 0 | 10 | 0% |
| Germany | 15 | 10 | 10 | 0% |
| Ireland | 10 | 10 | 10 | 0% |
| Moldova | 30 | 10 | 15 | 0% |
| Romania | 75 | 25 | 45 | 0.1% |
| Russian Federation | 45 | 25 | 15 | 0% |
| Ukraine | 20 | 15 | 10 | 0% |
| United Kingdom | 45 | 30 | 15 | 0% |
| Other places of birth in Europe | 715 | 350 | 370 | 0.8% |
| Africa | 620 | 270 | 345 | 0.7% |
| Algeria | 10 | 10 | 10 | 0% |
| Cameroon | 70 | 40 | 30 | 0.1% |
| Congo, Democratic Republic of the | 40 | 10 | 20 | 0% |
| Côte d'Ivoire | 10 | 10 | 0 | 0% |
| Egypt | 75 | 30 | 40 | 0.1% |
| Eritrea | 35 | 20 | 15 | 0% |
| Ethiopia | 60 | 20 | 45 | 0.1% |
| Morocco | 45 | 15 | 25 | 0% |
| Nigeria | 30 | 10 | 20 | 0% |
| Somalia | 45 | 10 | 35 | 0% |
| South Africa, Republic of | 30 | 20 | 10 | 0% |
| Tunisia | 0 | 0 | 0 | 0% |
| Other places of birth in Africa | 175 | 75 | 95 | 0.2% |
| Asia | 6220 | 2995 | 3225 | 6.6% |
| Afghanistan | 460 | 260 | 205 | 0.5% |
| Bangladesh | 350 | 180 | 175 | 0.4% |
| China | 485 | 205 | 280 | 0.5% |
| Hong Kong | 15 | 0 | 15 | 0% |
| India | 755 | 360 | 390 | 0.8% |
| Iran | 390 | 180 | 205 | 0.4% |
| Iraq | 160 | 70 | 90 | 0.2% |
| Israel | 15 | 10 | 10 | 0% |
| Japan | 10 | 10 | 0 | 0% |
| Korea, South | 25 | 10 | 20 | 0% |
| Lebanon | 55 | 25 | 25 | 0.1% |
| Nepal | 20 | 10 | 10 | 0% |
| Pakistan | 680 | 350 | 335 | 0.7% |
| Philippines | 1435 | 610 | 825 | 1.5% |
| Saudi Arabia | 75 | 55 | 20 | 0.1% |
| Sri Lanka | 125 | 65 | 60 | 0.1% |
| Syria | 765 | 400 | 365 | 0.8% |
| Taiwan | 0 | 0 | 0 | 0% |
| Turkey | 85 | 50 | 40 | 0.1% |
| United Arab Emirates | 90 | 40 | 50 | 0.1% |
| Viet Nam | 35 | 20 | 15 | 0% |
| Other places of birth in Asia | 185 | 90 | 95 | 0.2% |
| Oceania and other | 10 | 15 | 0 | 0% |
| Australia | 10 | 10 | 0 | 0% |
| Other places of birth | 10 | 10 | 0 | 0% |
| Total - Generation status for the population in private households - 25% sample data | 93165 | 43920 | 49250 | 98.5% |
| First generation | 52815 | 24095 | 28715 | 55.8% |
| Second generation | 24780 | 12410 | 12370 | 26.2% |
| Third generation or more | 15575 | 7410 | 8165 | 16.5% |
| Total - Admission category and applicant type for the immigrant population in private households who landed between 1980 and 2016 - 25% sample data | 39335 | 18100 | 21235 | 41.6% |
| Economic immigrants | 19545 | 9270 | 10280 | 20.7% |
| Principal applicants | 8505 | 4640 | 3865 | 9% |
| Secondary applicants | 11040 | 4620 | 6420 | 11.7% |
| Immigrants sponsored by family | 10485 | 4100 | 6385 | 11.1% |
| Refugees | 8850 | 4540 | 4310 | 9.4% |
| Other immigrants | 450 | 195 | 250 | 0.5% |
| Total - Aboriginal identity for the population in private households - 25% sample data | 93165 | 43920 | 49245 | 98.5% |
| Aboriginal identity | 660 | 305 | 355 | 0.7% |
| Single Aboriginal responses | 620 | 290 | 335 | 0.7% |
| First Nations (North American Indian) | 365 | 170 | 195 | 0.4% |
| Métis | 260 | 115 | 140 | 0.3% |
| Inuk (Inuit) | 0 | 0 | 0 | 0% |
| Multiple Aboriginal responses | 10 | 10 | 0 | 0% |
| Aboriginal responses not included elsewhere | 30 | 15 | 20 | 0% |
| Non-Aboriginal identity | 92505 | 43615 | 48895 | 97.8% |
| Total - Population by Registered or Treaty Indian status for the population in private households - 25% sample data | 93165 | 43920 | 49250 | 98.5% |
| Registered or Treaty Indian | 195 | 90 | 105 | 0.2% |
| Not a Registered or Treaty Indian | 92975 | 43830 | 49145 | 98.3% |
| Total - Aboriginal ancestry for the population in private households - 25% sample data | 93165 | 43920 | 49245 | 98.5% |
| Aboriginal ancestry (only) | 130 | 60 | 75 | 0.1% |
| Single Aboriginal ancestry (only) | 125 | 55 | 65 | 0.1% |
| First Nations (North American Indian) single ancestry | 95 | 40 | 55 | 0.1% |
| Métis single ancestry | 30 | 20 | 15 | 0% |
| Inuit single ancestry | 0 | 0 | 0 | 0% |
| Multiple Aboriginal ancestries (only) | 10 | 0 | 0 | 0% |
| First Nations (North American Indian) and Métis ancestries | 10 | 0 | 10 | 0% |
| First Nations (North American Indian) and Inuit ancestries | 0 | 0 | 0 | 0% |
| Métis and Inuit ancestries | 0 | 0 | 0 | 0% |
| First Nations (North American Indian), Métis and Inuit ancestries | 0 | 0 | 0 | 0% |
| Aboriginal and non-Aboriginal ancestries | 1005 | 485 | 520 | 1.1% |
| Single Aboriginal and non-Aboriginal ancestries | 980 | 475 | 510 | 1% |
| First Nations (North American Indian) and non-Aboriginal ancestries | 730 | 355 | 370 | 0.8% |
| Métis and non-Aboriginal ancestries | 255 | 120 | 135 | 0.3% |
| Inuit and non-Aboriginal ancestries | 0 | 0 | 0 | 0% |
| Multiple Aboriginal and non-Aboriginal ancestries | 20 | 10 | 10 | 0% |
| First Nations (North American Indian), Métis and non-Aboriginal ancestries | 10 | 10 | 10 | 0% |
| First Nations (North American Indian), Inuit and non-Aboriginal ancestries | 10 | 10 | 10 | 0% |
| Métis, Inuit and non-Aboriginal ancestries | 0 | 0 | 0 | 0% |
| First Nations (North American Indian), Métis, Inuit and non-Aboriginal ancestries | 0 | 0 | 0 | 0% |
| Non-Aboriginal ancestry (only) | 92035 | 43380 | 48655 | 97.3% |
| Total - Visible minority for the population in private households - 25% sample data | 93170 | 43920 | 49245 | 98.5% |
| Total visible minority population | 54380 | 25745 | 28635 | 57.5% |
| South Asian | 15890 | 7775 | 8115 | 16.8% |
| Chinese | 6995 | 3265 | 3735 | 7.4% |
| Black | 8665 | 3910 | 4755 | 9.2% |
| Filipino | 6900 | 2905 | 3995 | 7.3% |
| Latin American | 2195 | 1045 | 1150 | 2.3% |
| Arab | 3355 | 1760 | 1595 | 3.5% |
| Southeast Asian | 610 | 285 | 325 | 0.6% |
| West Asian | 5125 | 2685 | 2435 | 5.4% |
| Korean | 1340 | 635 | 705 | 1.4% |
| Japanese | 545 | 250 | 290 | 0.6% |
| Visible minority, n.i.e. | 1080 | 460 | 620 | 1.1% |
| Multiple visible minorities | 1680 | 770 | 910 | 1.8% |
| Not a visible minority | 38785 | 18180 | 20615 | 41% |
| Total - Ethnic origin for the population in private households - 25% sample data | 93165 | 43920 | 49245 | 98.5% |
| North American Aboriginal origins | 1130 | 540 | 590 | 1.2% |
| First Nations (North American Indian) | 850 | 405 | 445 | 0.9% |
| Inuit | 10 | 0 | 10 | 0% |
| Métis | 300 | 140 | 160 | 0.3% |
| Other North American origins | 10360 | 5025 | 5340 | 11% |
| Acadian | 70 | 45 | 20 | 0.1% |
| American | 770 | 375 | 395 | 0.8% |
| Canadian | 9645 | 4645 | 5010 | 10.2% |
| New Brunswicker | 0 | 0 | 0 | 0% |
| Newfoundlander | 55 | 25 | 35 | 0.1% |
| Nova Scotian | 40 | 25 | 10 | 0% |
| Ontarian | 10 | 10 | 0 | 0% |
| Québécois | 45 | 25 | 20 | 0% |
| Other North American origins, n.i.e. | 10 | 0 | 0 | 0% |
| European origins | 37470 | 17375 | 20090 | 39.6% |
| British Isles origins | 17260 | 7890 | 9370 | 18.2% |
| Channel Islander | 0 | 10 | 0 | 0% |
| Cornish | 10 | 0 | 0 | 0% |
| English | 9450 | 4380 | 5070 | 10% |
| Irish | 7505 | 3445 | 4060 | 7.9% |
| Manx | 10 | 0 | 10 | 0% |
| Scottish | 7495 | 3400 | 4100 | 7.9% |
| Welsh | 820 | 345 | 470 | 0.9% |
| British Isles origins, n.i.e. | 1265 | 580 | 685 | 1.3% |
| French origins | 3425 | 1625 | 1805 | 3.6% |
| Alsatian | 10 | 0 | 10 | 0% |
| Breton | 0 | 0 | 0 | 0% |
| Corsican | 0 | 0 | 0 | 0% |
| French | 3420 | 1625 | 1800 | 3.6% |
| Western European origins (except French origins) | 5220 | 2385 | 2835 | 5.5% |
| Austrian | 475 | 230 | 245 | 0.5% |
| Bavarian | 0 | 0 | 0 | 0% |
| Belgian | 105 | 35 | 65 | 0.1% |
| Dutch | 1225 | 545 | 685 | 1.3% |
| Flemish | 0 | 0 | 10 | 0% |
| Frisian | 0 | 0 | 0 | 0% |
| German | 3660 | 1710 | 1950 | 3.9% |
| Luxembourger | 0 | 0 | 0 | 0% |
| Swiss | 180 | 70 | 105 | 0.2% |
| Western European origins, n.i.e. | 10 | 10 | 0 | 0% |
| Northern European origins (except British Isles origins) | 885 | 425 | 460 | 0.9% |
| Danish | 205 | 95 | 105 | 0.2% |
| Finnish | 255 | 130 | 125 | 0.3% |
| Icelandic | 25 | 15 | 10 | 0% |
| Norwegian | 205 | 115 | 90 | 0.2% |
| Swedish | 220 | 80 | 135 | 0.2% |
| Northern European origins, n.i.e. | 25 | 0 | 20 | 0% |
| Eastern European origins | 8855 | 3985 | 4870 | 9.4% |
| Bulgarian | 605 | 290 | 320 | 0.6% |
| Byelorussian | 75 | 35 | 40 | 0.1% |
| Czech | 310 | 155 | 155 | 0.3% |
| Czechoslovakian, n.o.s. | 65 | 30 | 35 | 0.1% |
| Estonian | 245 | 115 | 135 | 0.3% |
| Hungarian | 1100 | 460 | 635 | 1.2% |
| Latvian | 255 | 110 | 150 | 0.3% |
| Lithuanian | 140 | 70 | 65 | 0.1% |
| Moldovan | 30 | 10 | 20 | 0% |
| Polish | 2050 | 905 | 1145 | 2.2% |
| Romanian | 1740 | 755 | 985 | 1.8% |
| Russian | 1400 | 630 | 770 | 1.5% |
| Slovak | 845 | 410 | 430 | 0.9% |
| Ukrainian | 1395 | 575 | 820 | 1.5% |
| Eastern European origins, n.i.e. | 75 | 35 | 35 | 0.1% |
| Southern European origins | 11850 | 5755 | 6095 | 12.5% |
| Albanian | 545 | 265 | 280 | 0.6% |
| Bosnian | 135 | 65 | 75 | 0.1% |
| Catalan | 0 | 0 | 0 | 0% |
| Croatian | 315 | 155 | 165 | 0.3% |
| Cypriot | 115 | 60 | 55 | 0.1% |
| Greek | 3785 | 1860 | 1925 | 4% |
| Italian | 2670 | 1365 | 1305 | 2.8% |
| Kosovar | 0 | 0 | 0 | 0% |
| Macedonian | 670 | 325 | 350 | 0.7% |
| Maltese | 175 | 90 | 90 | 0.2% |
| Montenegrin | 25 | 15 | 10 | 0% |
| Portuguese | 1275 | 560 | 715 | 1.3% |
| Serbian | 975 | 505 | 465 | 1% |
| Sicilian | 35 | 20 | 15 | 0% |
| Slovenian | 130 | 65 | 65 | 0.1% |
| Spanish | 1880 | 890 | 995 | 2% |
| Yugoslavian, n.o.s. | 85 | 30 | 60 | 0.1% |
| Southern European origins, n.i.e. | 10 | 10 | 0 | 0% |
| Other European origins | 880 | 415 | 470 | 0.9% |
| Basque | 0 | 0 | 0 | 0% |
| Jewish | 510 | 240 | 270 | 0.5% |
| Roma (Gypsy) | 220 | 115 | 110 | 0.2% |
| Slavic, n.o.s. | 10 | 0 | 10 | 0% |
| Other European origins, n.i.e. | 140 | 60 | 80 | 0.1% |
| Caribbean origins | 5550 | 2370 | 3180 | 5.9% |
| Antiguan | 75 | 20 | 50 | 0.1% |
| Bahamian | 20 | 10 | 10 | 0% |
| Barbadian | 425 | 180 | 250 | 0.4% |
| Bermudan | 45 | 15 | 30 | 0% |
| Carib | 20 | 0 | 10 | 0% |
| Cuban | 190 | 95 | 95 | 0.2% |
| Dominican | 85 | 30 | 50 | 0.1% |
| Grenadian | 270 | 105 | 165 | 0.3% |
| Guadeloupean | 0 | 0 | 0 | 0% |
| Haitian | 100 | 45 | 50 | 0.1% |
| Jamaican | 2965 | 1300 | 1665 | 3.1% |
| Kittitian/Nevisian | 30 | 0 | 20 | 0% |
| Martinican | 10 | 0 | 0 | 0% |
| Montserratan | 0 | 0 | 0 | 0% |
| Puerto Rican | 0 | 0 | 0 | 0% |
| St. Lucian | 115 | 55 | 60 | 0.1% |
| Trinidadian/Tobagonian | 800 | 325 | 480 | 0.8% |
| Vincentian/Grenadinian | 165 | 55 | 105 | 0.2% |
| West Indian, n.o.s. | 695 | 275 | 420 | 0.7% |
| Caribbean origins, n.i.e. | 340 | 130 | 205 | 0.4% |
| Latin, Central and South American origins | 3300 | 1530 | 1780 | 3.5% |
| Aboriginal from Central/South America (except Arawak and Maya) | 135 | 85 | 55 | 0.1% |
| Arawak | 20 | 10 | 15 | 0% |
| Argentinian | 115 | 60 | 50 | 0.1% |
| Belizean | 15 | 10 | 10 | 0% |
| Bolivian | 10 | 0 | 10 | 0% |
| Brazilian | 135 | 75 | 60 | 0.1% |
| Chilean | 65 | 30 | 35 | 0.1% |
| Colombian | 885 | 435 | 445 | 0.9% |
| Costa Rican | 20 | 0 | 15 | 0% |
| Ecuadorian | 100 | 50 | 50 | 0.1% |
| Guatemalan | 25 | 10 | 15 | 0% |
| Guyanese | 875 | 335 | 540 | 0.9% |
| Hispanic | 60 | 45 | 10 | 0.1% |
| Honduran | 0 | 0 | 0 | 0% |
| Maya | 15 | 10 | 0 | 0% |
| Mexican | 290 | 125 | 170 | 0.3% |
| Nicaraguan | 90 | 35 | 55 | 0.1% |
| Panamanian | 25 | 10 | 25 | 0% |
| Paraguayan | 0 | 0 | 0 | 0% |
| Peruvian | 100 | 50 | 55 | 0.1% |
| Salvadorean | 145 | 80 | 70 | 0.2% |
| Uruguayan | 30 | 15 | 15 | 0% |
| Venezuelan | 110 | 50 | 55 | 0.1% |
| Latin, Central and South American origins, n.i.e. | 160 | 75 | 85 | 0.2% |
| African origins | 6565 | 3110 | 3460 | 6.9% |
| Central and West African origins | 1085 | 545 | 540 | 1.1% |
| Akan | 10 | 0 | 0 | 0% |
| Angolan | 20 | 10 | 15 | 0% |
| Ashanti | 0 | 0 | 0 | 0% |
| Beninese | 10 | 10 | 0 | 0% |
| Burkinabe | 0 | 0 | 0 | 0% |
| Cameroonian | 205 | 115 | 90 | 0.2% |
| Chadian | 0 | 0 | 0 | 0% |
| Congolese | 245 | 110 | 135 | 0.3% |
| Edo | 0 | 0 | 0 | 0% |
| Ewe | 0 | 0 | 0 | 0% |
| Gabonese | 0 | 0 | 0 | 0% |
| Gambian | 15 | 10 | 10 | 0% |
| Ghanaian | 105 | 40 | 65 | 0.1% |
| Guinean | 40 | 15 | 20 | 0% |
| Ibo | 40 | 20 | 15 | 0% |
| Ivorian | 45 | 25 | 20 | 0% |
| Liberian | 0 | 0 | 0 | 0% |
| Malian | 10 | 0 | 10 | 0% |
| Malinké | 0 | 0 | 0 | 0% |
| Nigerian | 210 | 100 | 105 | 0.2% |
| Peulh | 0 | 0 | 0 | 0% |
| Senegalese | 20 | 15 | 10 | 0% |
| Sierra Leonean | 75 | 40 | 30 | 0.1% |
| Togolese | 0 | 0 | 0 | 0% |
| Wolof | 0 | 0 | 0 | 0% |
| Yoruba | 50 | 15 | 30 | 0.1% |
| Central and West African origins, n.i.e. | 65 | 35 | 30 | 0.1% |
| North African origins | 1405 | 720 | 685 | 1.5% |
| Algerian | 85 | 35 | 50 | 0.1% |
| Berber | 30 | 15 | 15 | 0% |
| Coptic | 35 | 25 | 10 | 0% |
| Dinka | 0 | 0 | 0 | 0% |
| Egyptian | 845 | 420 | 425 | 0.9% |
| Libyan | 40 | 20 | 20 | 0% |
| Maure | 40 | 30 | 10 | 0% |
| Moroccan | 220 | 125 | 95 | 0.2% |
| Sudanese | 170 | 75 | 95 | 0.2% |
| Tunisian | 45 | 25 | 20 | 0% |
| North African origins, n.i.e. | 0 | 0 | 0 | 0% |
| Southern and East African origins | 2365 | 1090 | 1275 | 2.5% |
| Afrikaner | 15 | 0 | 10 | 0% |
| Amhara | 25 | 20 | 10 | 0% |
| Bantu, n.o.s. | 10 | 0 | 10 | 0% |
| Burundian | 90 | 50 | 35 | 0.1% |
| Djiboutian | 0 | 0 | 0 | 0% |
| Eritrean | 380 | 210 | 170 | 0.4% |
| Ethiopian | 600 | 260 | 345 | 0.6% |
| Harari | 20 | 10 | 10 | 0% |
| Kenyan | 105 | 50 | 60 | 0.1% |
| Malagasy | 0 | 0 | 0 | 0% |
| Mauritian | 20 | 10 | 15 | 0% |
| Oromo | 10 | 0 | 10 | 0% |
| Rwandan | 65 | 45 | 20 | 0.1% |
| Seychellois | 0 | 0 | 0 | 0% |
| Somali | 490 | 205 | 285 | 0.5% |
| South African | 130 | 75 | 50 | 0.1% |
| Tanzanian | 25 | 10 | 15 | 0% |
| Tigrian | 10 | 10 | 10 | 0% |
| Ugandan | 75 | 30 | 40 | 0.1% |
| Zambian | 25 | 10 | 15 | 0% |
| Zimbabwean | 130 | 60 | 75 | 0.1% |
| Zulu | 0 | 10 | 0 | 0% |
| Southern and East African origins, n.i.e. | 300 | 90 | 215 | 0.3% |
| Other African origins | 1875 | 850 | 1025 | 2% |
| Black, n.o.s. | 250 | 100 | 150 | 0.3% |
| Other African origins, n.i.e. | 1645 | 755 | 890 | 1.7% |
| Asian origins | 44610 | 21250 | 23365 | 47.2% |
| West Central Asian and Middle Eastern origins | 11460 | 5865 | 5590 | 12.1% |
| Afghan | 3060 | 1675 | 1385 | 3.2% |
| Arab, n.o.s. | 760 | 340 | 425 | 0.8% |
| Armenian | 1300 | 635 | 665 | 1.4% |
| Assyrian | 45 | 30 | 10 | 0% |
| Azerbaijani | 85 | 50 | 35 | 0.1% |
| Georgian | 10 | 10 | 10 | 0% |
| Hazara | 80 | 45 | 40 | 0.1% |
| Iranian | 2380 | 1190 | 1190 | 2.5% |
| Iraqi | 325 | 160 | 170 | 0.3% |
| Israeli | 70 | 30 | 40 | 0.1% |
| Jordanian | 165 | 95 | 70 | 0.2% |
| Kazakh | 15 | 15 | 0 | 0% |
| Kurd | 340 | 160 | 180 | 0.4% |
| Kuwaiti | 25 | 10 | 10 | 0% |
| Kyrgyz | 0 | 0 | 0 | 0% |
| Lebanese | 1060 | 550 | 505 | 1.1% |
| Palestinian | 520 | 280 | 240 | 0.5% |
| Pashtun | 100 | 60 | 40 | 0.1% |
| Saudi Arabian | 25 | 15 | 15 | 0% |
| Syrian | 685 | 355 | 330 | 0.7% |
| Tajik | 160 | 85 | 75 | 0.2% |
| Tatar | 55 | 25 | 30 | 0.1% |
| Turk | 790 | 365 | 430 | 0.8% |
| Turkmen | 35 | 15 | 15 | 0% |
| Uighur | 115 | 55 | 60 | 0.1% |
| Uzbek | 45 | 35 | 10 | 0% |
| Yemeni | 95 | 50 | 40 | 0.1% |
| West Central Asian and Middle Eastern origins, n.i.e. | 160 | 85 | 75 | 0.2% |
| South Asian origins | 15930 | 7720 | 8210 | 16.8% |
| Bangladeshi | 785 | 410 | 375 | 0.8% |
| Bengali | 350 | 170 | 175 | 0.4% |
| Bhutanese | 15 | 10 | 0 | 0% |
| East Indian | 9885 | 4745 | 5140 | 10.5% |
| Goan | 45 | 15 | 30 | 0% |
| Gujarati | 155 | 70 | 80 | 0.2% |
| Kashmiri | 0 | 0 | 10 | 0% |
| Nepali | 65 | 25 | 35 | 0.1% |
| Pakistani | 2605 | 1265 | 1340 | 2.8% |
| Punjabi | 105 | 65 | 40 | 0.1% |
| Sinhalese | 65 | 40 | 25 | 0.1% |
| Sri Lankan | 1445 | 690 | 755 | 1.5% |
| Tamil | 500 | 270 | 235 | 0.5% |
| South Asian origins, n.i.e. | 910 | 440 | 470 | 1% |
| East and Southeast Asian origins | 17750 | 7945 | 9800 | 18.8% |
| Burmese | 50 | 25 | 20 | 0.1% |
| Cambodian (Khmer) | 10 | 0 | 0 | 0% |
| Chinese | 8280 | 3770 | 4510 | 8.8% |
| Filipino | 7225 | 3105 | 4120 | 7.6% |
| Hmong | 0 | 0 | 0 | 0% |
| Indonesian | 120 | 50 | 75 | 0.1% |
| Japanese | 705 | 330 | 375 | 0.7% |
| Karen | 0 | 0 | 0 | 0% |
| Korean | 1420 | 675 | 740 | 1.5% |
| Laotian | 10 | 10 | 10 | 0% |
| Malaysian | 130 | 70 | 70 | 0.1% |
| Mongolian | 20 | 0 | 15 | 0% |
| Singaporean | 25 | 10 | 10 | 0% |
| Taiwanese | 165 | 70 | 95 | 0.2% |
| Thai | 55 | 20 | 35 | 0.1% |
| Tibetan | 35 | 10 | 20 | 0% |
| Vietnamese | 440 | 200 | 240 | 0.5% |
| East and Southeast Asian origins, n.i.e. | 150 | 80 | 70 | 0.2% |
| Other Asian origins | 185 | 90 | 95 | 0.2% |
| Other Asian origins, n.i.e. | 180 | 90 | 95 | 0.2% |
| Oceania origins | 115 | 55 | 55 | 0.1% |
| Australian | 65 | 25 | 40 | 0.1% |
| New Zealander | 45 | 35 | 15 | 0% |
| Pacific Islands origins | 10 | 10 | 0 | 0% |
| Fijian | 0 | 0 | 0 | 0% |
| Hawaiian | 10 | 10 | 0 | 0% |
| Maori | 0 | 10 | 0 | 0% |
| Samoan | 0 | 0 | 0 | 0% |
| Polynesian, n.o.s. | 0 | 0 | 0 | 0% |
| Pacific Islands origins, n.i.e. | 0 | 0 | 0 | 0% |
| Total - Private households by tenure - 25% sample data | 38065 | 40.2% | ||
| Owner | 17180 | 18.2% | ||
| Renter | 20890 | 22.1% | ||
| Band housing | 0 | 0% | ||
| Total - Occupied private dwellings by condominium status - 25% sample data | 38065 | 40.2% | ||
| Condominium | 11165 | 11.8% | ||
| Not condominium | 26900 | 28.4% | ||
| Total - Occupied private dwellings by number of bedrooms - 25% sample data | 38065 | 40.2% | ||
| No bedrooms | 310 | 0.3% | ||
| 1 bedroom | 9215 | 9.7% | ||
| 2 bedrooms | 14290 | 15.1% | ||
| 3 bedrooms | 9820 | 10.4% | ||
| 4 or more bedrooms | 4440 | 4.7% | ||
| Total - Occupied private dwellings by number of rooms - 25% sample data | 38065 | 40.2% | ||
| 1 to 4 rooms | 20670 | 21.9% | ||
| 5 rooms | 6665 | 7% | ||
| 6 rooms | 4130 | 4.4% | ||
| 7 rooms | 2535 | 2.7% | ||
| 8 or more rooms | 4060 | 4.3% | ||
| Average number of rooms per dwelling | 5 | 0% | ||
| Total - Private households by number of persons per room - 25% sample data | 38065 | 40.2% | ||
| One person or fewer per room | 35120 | 37.1% | ||
| More than 1 person per room | 2945 | 3.1% | ||
| Total - Private households by housing suitability - 25% sample data | 38065 | 40.2% | ||
| Suitable | 31995 | 33.8% | ||
| Not suitable | 6070 | 6.4% | ||
| Total - Occupied private dwellings by period of construction - 25% sample data | 38065 | 40.2% | ||
| 1960 or before | 9615 | 10.2% | ||
| 1961 to 1980 | 17380 | 18.4% | ||
| 1981 to 1990 | 4070 | 4.3% | ||
| 1991 to 2000 | 3115 | 3.3% | ||
| 2001 to 2005 | 1745 | 1.8% | ||
| 2006 to 2010 | 1240 | 1.3% | ||
| 2011 to 2016 | 900 | 1% | ||
| Total - Occupied private dwellings by dwelling condition - 25% sample data | 38065 | 40.2% | ||
| Only regular maintenance or minor repairs needed | 35285 | 37.3% | ||
| Major repairs needed | 2780 | 2.9% | ||
| Total - Private households by number of household maintainers - 25% sample data | 38065 | 40.2% | ||
| 1 household maintainer | 24750 | 26.2% | ||
| 2 household maintainers | 11850 | 12.5% | ||
| 3 or more household maintainers | 1465 | 1.5% | ||
| Total - Private households by age of primary household maintainers - 25% sample data | 38065 | 40.2% | ||
| 15 to 24 years | 665 | 0.7% | ||
| 25 to 34 years | 4585 | 4.8% | ||
| 35 to 44 years | 6905 | 7.3% | ||
| 45 to 54 years | 8125 | 8.6% | ||
| 55 to 64 years | 7055 | 7.5% | ||
| 65 to 74 years | 5205 | 5.5% | ||
| 75 to 84 years | 3660 | 3.9% | ||
| 85 years and over | 1870 | 2% | ||
| Total - Owner and tenant households with household total income greater than zero, in non-farm, non-reserve private dwellings by shelter-cost-to-income ratio - 25% sample data | 37975 | 40.2% | ||
| Spending less than 30% of income on shelter costs | 23310 | 24.6% | ||
| Spending 30% or more of income on shelter costs | 14665 | 15.5% | ||
| 30% to less than 100% | 12395 | 13.1% | ||
| Total - Owner households in non-farm, non-reserve private dwellings - 25% sample data | 17175 | 18.2% | ||
| % of owner households with a mortgage | 53 | 0.1% | ||
| % of owner households spending 30% or more of its income on shelter costs | 28 | 0% | ||
| Median monthly shelter costs for owned dwellings ($) | 1301 | 1.4% | ||
| Average monthly shelter costs for owned dwellings ($) | 1526 | 1.6% | ||
| Median value of dwellings ($) | 501641 | 530.4% | ||
| Average value of dwellings ($) | 635477 | 671.9% | ||
| Total - Tenant households in non-farm, non-reserve private dwellings - 25% sample data | 20890 | 22.1% | ||
| % of tenant households in subsidized housing | 12 | 0% | ||
| % of tenant households spending 30% or more of its income on shelter costs | 47 | 0% | ||
| Median monthly shelter costs for rented dwellings ($) | 1200 | 1.3% | ||
| Average monthly shelter costs for rented dwellings ($) | 1205 | 1.3% | ||
| Total - Highest certificate, diploma or degree for the population aged 15 years and over in private households - 25% sample data | 78080 | 36025 | 42055 | 82.6% |
| No certificate, diploma or degree | 12395 | 5800 | 6590 | 13.1% |
| Secondary (high) school diploma or equivalency certificate | 20360 | 9715 | 10645 | 21.5% |
| Postsecondary certificate, diploma or degree | 45325 | 20505 | 24815 | 47.9% |
| Apprenticeship or trades certificate or diploma | 3340 | 2025 | 1315 | 3.5% |
| Trades certificate or diploma other than Certificate of Apprenticeship or Certificate of Qualification | 1930 | 1080 | 850 | 2% |
| Certificate of Apprenticeship or Certificate of Qualification | 1410 | 945 | 465 | 1.5% |
| College, CEGEP or other non-university certificate or diploma | 13760 | 5355 | 8410 | 14.5% |
| University certificate or diploma below bachelor level | 2660 | 1065 | 1595 | 2.8% |
| University certificate, diploma or degree at bachelor level or above | 25565 | 12065 | 13495 | 27% |
| Bachelor's degree | 16660 | 7440 | 9215 | 17.6% |
| University certificate or diploma above bachelor level | 1830 | 880 | 950 | 1.9% |
| Degree in medicine, dentistry, veterinary medicine or optometry | 745 | 315 | 430 | 0.8% |
| Master's degree | 5560 | 2970 | 2590 | 5.9% |
| Earned doctorate | 765 | 460 | 310 | 0.8% |
| Total - Highest certificate, diploma or degree for the population aged 25 to 64 years in private households - 25% sample data | 50525 | 23585 | 26940 | 53.4% |
| No certificate, diploma or degree | 4700 | 2305 | 2395 | 5% |
| Secondary (high) school diploma or equivalency certificate | 11100 | 5675 | 5425 | 11.7% |
| Postsecondary certificate, diploma or degree | 34730 | 15605 | 19125 | 36.7% |
| Apprenticeship or trades certificate or diploma | 2090 | 1280 | 810 | 2.2% |
| Trades certificate or diploma other than Certificate of Apprenticeship or Certificate of Qualification | 1255 | 695 | 565 | 1.3% |
| Certificate of Apprenticeship or Certificate of Qualification | 835 | 585 | 250 | 0.9% |
| College, CEGEP or other non-university certificate or diploma | 10225 | 4100 | 6120 | 10.8% |
| University certificate or diploma below bachelor level | 1965 | 800 | 1165 | 2.1% |
| University certificate, diploma or degree at bachelor level or above | 20450 | 9425 | 11025 | 21.6% |
| Bachelor's degree | 13305 | 5830 | 7470 | 14.1% |
| University certificate or diploma above bachelor level | 1415 | 635 | 780 | 1.5% |
| Degree in medicine, dentistry, veterinary medicine or optometry | 575 | 225 | 345 | 0.6% |
| Master's degree | 4650 | 2430 | 2220 | 4.9% |
| Earned doctorate | 510 | 305 | 205 | 0.5% |
| Total - Major field of study - Classification of Instructional Programs (CIP) 2016 for the population aged 15 years and over in private households - 25% sample data | 78080 | 36025 | 42055 | 82.6% |
| No postsecondary certificate, diploma or degree | 32760 | 15520 | 17240 | 34.6% |
| Education | 2355 | 445 | 1905 | 2.5% |
| 13. Education | 2350 | 450 | 1905 | 2.5% |
| Visual and performing arts, and communications technologies | 2000 | 935 | 1065 | 2.1% |
| 10. Communications technologies/technicians and support services | 350 | 285 | 60 | 0.4% |
| 50. Visual and performing arts | 1650 | 650 | 1000 | 1.7% |
| Humanities | 3050 | 1015 | 2035 | 3.2% |
| 16. Aboriginal and foreign languages, literatures and linguistics | 485 | 85 | 400 | 0.5% |
| 23. English language and literature/letters | 740 | 225 | 515 | 0.8% |
| 24. Liberal arts and sciences, general studies and humanities | 880 | 275 | 610 | 0.9% |
| 30A Interdisciplinary humanities | 10 | 10 | 0 | 0% |
| 38. Philosophy and religious studies | 175 | 65 | 110 | 0.2% |
| 39. Theology and religious vocations | 290 | 180 | 115 | 0.3% |
| 54. History | 330 | 155 | 175 | 0.3% |
| 55. French language and literature/letters | 125 | 15 | 110 | 0.1% |
| Social and behavioural sciences and law | 6565 | 2230 | 4335 | 6.9% |
| 05. Area, ethnic, cultural, gender, and group studies | 65 | 20 | 40 | 0.1% |
| 09. Communication, journalism and related programs | 670 | 240 | 430 | 0.7% |
| 19. Family and consumer sciences/human sciences | 1020 | 120 | 900 | 1.1% |
| 22. Legal professions and studies | 945 | 360 | 585 | 1% |
| 30B Interdisciplinary social and behavioural sciences | 90 | 30 | 55 | 0.1% |
| 42. Psychology | 915 | 225 | 690 | 1% |
| 45. Social sciences | 2860 | 1230 | 1630 | 3% |
| Business, management and public administration | 10860 | 4695 | 6165 | 11.5% |
| 30.16 Accounting and computer science | 25 | 10 | 15 | 0% |
| 44. Public administration and social service professions | 680 | 130 | 545 | 0.7% |
| 52. Business, management, marketing and related support services | 10155 | 4555 | 5605 | 10.7% |
| Physical and life sciences and technologies | 2150 | 1005 | 1145 | 2.3% |
| 26. Biological and biomedical sciences | 890 | 395 | 500 | 0.9% |
| 30.01 Biological and physical sciences | 440 | 170 | 270 | 0.5% |
| 30C Other interdisciplinary physical and life sciences | 55 | 20 | 45 | 0.1% |
| 40. Physical sciences | 665 | 385 | 280 | 0.7% |
| 41. Science technologies/technicians | 90 | 40 | 50 | 0.1% |
| Mathematics, computer and information sciences | 2905 | 1775 | 1130 | 3.1% |
| 11. Computer and information sciences and support services | 2265 | 1450 | 815 | 2.4% |
| 25. Library science | 120 | 15 | 105 | 0.1% |
| 27. Mathematics and statistics | 475 | 280 | 195 | 0.5% |
| 30D Interdisciplinary mathematics, computer and information sciences | 45 | 25 | 15 | 0% |
| Architecture, engineering, and related technologies | 7285 | 5985 | 1305 | 7.7% |
| 04. Architecture and related services | 490 | 305 | 190 | 0.5% |
| 14. Engineering | 3670 | 2795 | 880 | 3.9% |
| 15. Engineering technologies and engineering-related fields | 1185 | 1015 | 165 | 1.3% |
| 30.12 Historic preservation and conservation | 0 | 0 | 10 | 0% |
| 46. Construction trades | 860 | 825 | 35 | 0.9% |
| 47. Mechanic and repair technologies/technicians | 720 | 700 | 20 | 0.8% |
| 48. Precision production | 365 | 345 | 15 | 0.4% |
| Agriculture, natural resources and conservation | 485 | 315 | 165 | 0.5% |
| 01. Agriculture, agriculture operations and related sciences | 335 | 225 | 110 | 0.4% |
| 03. Natural resources and conservation | 150 | 95 | 50 | 0.2% |
| Health and related fields | 5985 | 1365 | 4610 | 6.3% |
| 31. Parks, recreation, leisure and fitness studies | 395 | 225 | 175 | 0.4% |
| 51. Health professions and related programs | 5415 | 1060 | 4350 | 5.7% |
| 60. Dental, medical and veterinary residency programs | 170 | 85 | 90 | 0.2% |
| Personal, protective and transportation services | 1685 | 735 | 950 | 1.8% |
| 12. Personal and culinary services | 1105 | 295 | 810 | 1.2% |
| 28. Military science, leadership and operational art | 0 | 0 | 0 | 0% |
| 29. Military technologies and applied sciences | 10 | 15 | 0 | 0% |
| 43. Security and protective services | 315 | 200 | 115 | 0.3% |
| 49. Transportation and materials moving | 250 | 225 | 30 | 0.3% |
| Other | 0 | 0 | 0 | 0% |
| 30.99 Multidisciplinary/interdisciplinary studies, other | 0 | 0 | 0 | 0% |
| Total - Major field of study - Classification of Instructional Programs (CIP) 2016 for the population aged 25 to 64 years in private households - 25% sample data | 50525 | 23585 | 26940 | 53.4% |
| No postsecondary certificate, diploma or degree | 15800 | 7980 | 7815 | 16.7% |
| Education | 1505 | 260 | 1240 | 1.6% |
| 13. Education | 1500 | 260 | 1240 | 1.6% |
| Visual and performing arts, and communications technologies | 1530 | 720 | 810 | 1.6% |
| 10. Communications technologies/technicians and support services | 250 | 200 | 45 | 0.3% |
| 50. Visual and performing arts | 1275 | 515 | 765 | 1.3% |
| Humanities | 2275 | 715 | 1565 | 2.4% |
| 16. Aboriginal and foreign languages, literatures and linguistics | 360 | 50 | 310 | 0.4% |
| 23. English language and literature/letters | 520 | 160 | 360 | 0.5% |
| 24. Liberal arts and sciences, general studies and humanities | 695 | 200 | 495 | 0.7% |
| 30A Interdisciplinary humanities | 10 | 10 | 0 | 0% |
| 38. Philosophy and religious studies | 135 | 50 | 80 | 0.1% |
| 39. Theology and religious vocations | 220 | 125 | 95 | 0.2% |
| 54. History | 240 | 105 | 135 | 0.3% |
| 55. French language and literature/letters | 95 | 10 | 85 | 0.1% |
| Social and behavioural sciences and law | 5095 | 1720 | 3380 | 5.4% |
| 05. Area, ethnic, cultural, gender, and group studies | 50 | 10 | 35 | 0.1% |
| 09. Communication, journalism and related programs | 545 | 195 | 350 | 0.6% |
| 19. Family and consumer sciences/human sciences | 710 | 95 | 620 | 0.8% |
| 22. Legal professions and studies | 715 | 225 | 490 | 0.8% |
| 30B Interdisciplinary social and behavioural sciences | 75 | 30 | 45 | 0.1% |
| 42. Psychology | 675 | 160 | 510 | 0.7% |
| 45. Social sciences | 2325 | 995 | 1330 | 2.5% |
| Business, management and public administration | 8520 | 3615 | 4910 | 9% |
| 30.16 Accounting and computer science | 10 | 10 | 0 | 0% |
| 44. Public administration and social service professions | 520 | 105 | 420 | 0.5% |
| 52. Business, management, marketing and related support services | 7985 | 3505 | 4485 | 8.4% |
| Physical and life sciences and technologies | 1650 | 750 | 895 | 1.7% |
| 26. Biological and biomedical sciences | 645 | 285 | 360 | 0.7% |
| 30.01 Biological and physical sciences | 365 | 140 | 230 | 0.4% |
| 30C Other interdisciplinary physical and life sciences | 55 | 15 | 35 | 0.1% |
| 40. Physical sciences | 515 | 290 | 230 | 0.5% |
| 41. Science technologies/technicians | 75 | 25 | 45 | 0.1% |
| Mathematics, computer and information sciences | 2575 | 1595 | 980 | 2.7% |
| 11. Computer and information sciences and support services | 2090 | 1350 | 740 | 2.2% |
| 25. Library science | 75 | 15 | 55 | 0.1% |
| 27. Mathematics and statistics | 375 | 205 | 170 | 0.4% |
| 30D Interdisciplinary mathematics, computer and information sciences | 40 | 25 | 20 | 0% |
| Architecture, engineering, and related technologies | 5465 | 4370 | 1095 | 5.8% |
| 04. Architecture and related services | 350 | 180 | 160 | 0.4% |
| 14. Engineering | 2915 | 2140 | 770 | 3.1% |
| 15. Engineering technologies and engineering-related fields | 870 | 740 | 130 | 0.9% |
| 30.12 Historic preservation and conservation | 10 | 0 | 0 | 0% |
| 46. Construction trades | 590 | 570 | 15 | 0.6% |
| 47. Mechanic and repair technologies/technicians | 535 | 530 | 0 | 0.6% |
| 48. Precision production | 210 | 205 | 10 | 0.2% |
| Agriculture, natural resources and conservation | 360 | 235 | 125 | 0.4% |
| 01. Agriculture, agriculture operations and related sciences | 255 | 165 | 90 | 0.3% |
| 03. Natural resources and conservation | 105 | 70 | 30 | 0.1% |
| Health and related fields | 4530 | 1080 | 3445 | 4.8% |
| 31. Parks, recreation, leisure and fitness studies | 290 | 160 | 125 | 0.3% |
| 51. Health professions and related programs | 4100 | 860 | 3240 | 4.3% |
| 60. Dental, medical and veterinary residency programs | 145 | 65 | 80 | 0.2% |
| Personal, protective and transportation services | 1220 | 540 | 685 | 1.3% |
| 12. Personal and culinary services | 775 | 195 | 575 | 0.8% |
| 28. Military science, leadership and operational art | 0 | 0 | 0 | 0% |
| 29. Military technologies and applied sciences | 10 | 10 | 0 | 0% |
| 43. Security and protective services | 225 | 145 | 80 | 0.2% |
| 49. Transportation and materials moving | 215 | 190 | 25 | 0.2% |
| Other | 0 | 0 | 0 | 0% |
| 30.99 Multidisciplinary/interdisciplinary studies, other | 0 | 0 | 0 | 0% |
| Total - Location of study compared with province or territory of residence with countries outside Canada for the population aged 15 years and over in private households - 25% sample data | 78080 | 36030 | 42055 | 82.6% |
| No postsecondary certificate, diploma or degree | 32755 | 15515 | 17240 | 34.6% |
| Postsecondary certificate, diploma or degree | 45325 | 20510 | 24815 | 47.9% |
| Location of study inside Canada | 27370 | 12210 | 15160 | 28.9% |
| Same as province or territory of residence | 25300 | 11265 | 14040 | 26.8% |
| Different than province or territory of residence | 2070 | 945 | 1125 | 2.2% |
| Location of study outside Canada | 17955 | 8300 | 9655 | 19% |
| United States | 1190 | 740 | 450 | 1.3% |
| Philippines | 2455 | 815 | 1640 | 2.6% |
| India | 1620 | 815 | 800 | 1.7% |
| United Kingdom | 1110 | 545 | 565 | 1.2% |
| China | 1265 | 570 | 690 | 1.3% |
| France | 190 | 105 | 90 | 0.2% |
| Other | 10125 | 4705 | 5420 | 10.7% |
| Total - Location of study compared with province or territory of residence with countries outside Canada for the population aged 25 to 64 years in private households - 25% sample data | 50525 | 23585 | 26940 | 53.4% |
| No postsecondary certificate, diploma or degree | 15795 | 7980 | 7820 | 16.7% |
| Postsecondary certificate, diploma or degree | 34730 | 15605 | 19125 | 36.7% |
| Location of study inside Canada | 20695 | 9195 | 11505 | 21.9% |
| Same as province or territory of residence | 19230 | 8510 | 10720 | 20.3% |
| Different than province or territory of residence | 1465 | 685 | 785 | 1.5% |
| Location of study outside Canada | 14035 | 6410 | 7620 | 14.8% |
| United States | 840 | 535 | 300 | 0.9% |
| Philippines | 2165 | 725 | 1440 | 2.3% |
| India | 1335 | 660 | 680 | 1.4% |
| United Kingdom | 545 | 275 | 270 | 0.6% |
| China | 1035 | 470 | 565 | 1.1% |
| France | 135 | 65 | 70 | 0.1% |
| Other | 7985 | 3685 | 4295 | 8.4% |
| Total - Population aged 15 years and over by Labour force status - 25% sample data | 78080 | 36025 | 42055 | 82.6% |
| In the labour force | 47150 | 23910 | 23240 | 49.9% |
| Employed | 42745 | 21745 | 21000 | 45.2% |
| Unemployed | 4405 | 2165 | 2235 | 4.7% |
| Not in the labour force | 30935 | 12120 | 18815 | 32.7% |
| Participation rate | 60 | 66 | 55 | 0.1% |
| Employment rate | 55 | 60 | 50 | 0.1% |
| Unemployment rate | 9 | 9 | 10 | 0% |
| Total population aged 15 years and over by work activity during the reference year - 25% sample data | 78085 | 36025 | 42050 | 82.6% |
| Did not work | 30755 | 12180 | 18575 | 32.5% |
| Worked | 47325 | 23845 | 23480 | 50% |
| Worked full year, full time | 23280 | 12620 | 10660 | 24.6% |
| Worked part year and/or part time | 24045 | 11225 | 12815 | 25.4% |
| Average weeks worked in reference year | 42 | 42 | 41 | 0% |
| Total labour force aged 15 years and over by class of worker - 25% sample data | 47150 | 23910 | 23235 | 49.9% |
| Class of worker - not applicable | 1910 | 870 | 1035 | 2% |
| All classes of workers | 45240 | 23040 | 22205 | 47.8% |
| Employee | 39875 | 19585 | 20295 | 42.2% |
| Self-employed | 5365 | 3455 | 1905 | 5.7% |
| Total labour force population aged 15 years and over by occupation - National Occupational Classification (NOC) 2016 - 25% sample data | 47150 | 23910 | 23240 | 49.9% |
| Occupation - not applicable | 1905 | 870 | 1035 | 2% |
| All occupations | 45240 | 23035 | 22205 | 47.8% |
| 0 Management occupations | 4795 | 2765 | 2025 | 5.1% |
| 1 Business, finance and administration occupations | 8655 | 3105 | 5555 | 9.2% |
| 2 Natural and applied sciences and related occupations | 4150 | 3100 | 1050 | 4.4% |
| 3 Health occupations | 2505 | 605 | 1905 | 2.6% |
| 4 Occupations in education, law and social, community and government services | 5575 | 1535 | 4045 | 5.9% |
| 5 Occupations in art, culture, recreation and sport | 1690 | 810 | 880 | 1.8% |
| 6 Sales and service occupations | 11945 | 5910 | 6035 | 12.6% |
| 7 Trades, transport and equipment operators and related occupations | 4245 | 3995 | 250 | 4.5% |
| 8 Natural resources, agriculture and related production occupations | 200 | 170 | 25 | 0.2% |
| 9 Occupations in manufacturing and utilities | 1485 | 1040 | 440 | 1.6% |
| Total Labour Force population aged 15 years and over by Industry - North American Industry Classification System (NAICS) 2012 - 25% sample data | 47150 | 23910 | 23240 | 49.9% |
| Industry - NAICS2012 - not applicable | 1910 | 870 | 1040 | 2% |
| All industry categories | 45240 | 23040 | 22200 | 47.8% |
| 11 Agriculture, forestry, fishing and hunting | 45 | 30 | 15 | 0% |
| 21 Mining, quarrying, and oil and gas extraction | 75 | 55 | 20 | 0.1% |
| 22 Utilities | 155 | 90 | 70 | 0.2% |
| 23 Construction | 2275 | 2045 | 225 | 2.4% |
| 31-33 Manufacturing | 2950 | 2045 | 905 | 3.1% |
| 41 Wholesale trade | 1645 | 1125 | 525 | 1.7% |
| 44-45 Retail trade | 5160 | 2490 | 2670 | 5.5% |
| 48-49 Transportation and warehousing | 1970 | 1605 | 360 | 2.1% |
| 51 Information and cultural industries | 1715 | 1005 | 710 | 1.8% |
| 52 Finance and insurance | 3760 | 1725 | 2035 | 4% |
| 53 Real estate and rental and leasing | 1490 | 800 | 690 | 1.6% |
| 54 Professional, scientific and technical services | 4950 | 2785 | 2165 | 5.2% |
| 55 Management of companies and enterprises | 135 | 35 | 100 | 0.1% |
| 56 Administrative and support, waste management and remediation services | 2970 | 1750 | 1220 | 3.1% |
| 61 Educational services | 3175 | 1075 | 2100 | 3.4% |
| 62 Health care and social assistance | 4840 | 920 | 3920 | 5.1% |
| 71 Arts, entertainment and recreation | 865 | 455 | 410 | 0.9% |
| 72 Accommodation and food services | 3035 | 1375 | 1660 | 3.2% |
| 81 Other services (except public administration) | 2420 | 945 | 1475 | 2.6% |
| 91 Public administration | 1620 | 690 | 935 | 1.7% |
| Total - Place of work status for the employed labour force aged 15 years and over in private households - 25% sample data | 42745 | 21745 | 21005 | 45.2% |
| Worked at home | 2940 | 1610 | 1335 | 3.1% |
| Worked outside Canada | 265 | 190 | 80 | 0.3% |
| No fixed workplace address | 5055 | 3550 | 1505 | 5.3% |
| Worked at usual place | 34480 | 16400 | 18080 | 36.5% |
| Total - Commuting destination for the employed labour force aged 15 years and over in private households with a usual place of work - 25% sample data | 34485 | 16400 | 18080 | 36.5% |
| Commute within census subdivision (CSD) of residence | 28775 | 12960 | 15815 | 30.4% |
| Commute to a different census subdivision (CSD) within census division (CD) of residence | 0 | 0 | 0 | 0% |
| Commute to a different census subdivision (CSD) and census division (CD) within province or territory of residence | 5600 | 3365 | 2235 | 5.9% |
| Commute to a different province or territory | 110 | 75 | 30 | 0.1% |
| Total - Main mode of commuting for the employed labour force aged 15 years and over in private households with a usual place of work or no fixed workplace address - 25% sample data | 39540 | 19955 | 19585 | 41.8% |
| Car, truck, van - as a driver | 21195 | 12535 | 8660 | 22.4% |
| Car, truck, van - as a passenger | 1790 | 590 | 1205 | 1.9% |
| Public transit | 14415 | 5835 | 8580 | 15.2% |
| Walked | 1620 | 685 | 935 | 1.7% |
| Bicycle | 185 | 130 | 60 | 0.2% |
| Other method | 330 | 180 | 150 | 0.3% |
| Total - Commuting duration for the employed labour force aged 15 years and over in private households with a usual place of work or no fixed workplace address - 25% sample data | 39535 | 19950 | 19585 | 41.8% |
| Less than 15 minutes | 5005 | 2525 | 2480 | 5.3% |
| 15 to 29 minutes | 10470 | 5190 | 5280 | 11.1% |
| 30 to 44 minutes | 10090 | 5350 | 4740 | 10.7% |
| 45 to 59 minutes | 6235 | 3090 | 3145 | 6.6% |
| 60 minutes and over | 7740 | 3795 | 3940 | 8.2% |
| Total - Time leaving for work for the employed labour force aged 15 years and over in private households with a usual place of work or no fixed workplace address - 25% sample data | 39540 | 19950 | 19585 | 41.8% |
| Between 5 a.m. and 5:59 a.m. | 1875 | 1255 | 620 | 2% |
| Between 6 a.m. and 6:59 a.m. | 5310 | 3085 | 2225 | 5.6% |
| Between 7 a.m. and 7:59 a.m. | 10335 | 4785 | 5555 | 10.9% |
| Between 8 a.m. and 8:59 a.m. | 9895 | 4560 | 5340 | 10.5% |
| Between 9 a.m. and 11:59 a.m. | 5710 | 2740 | 2970 | 6% |
| Between 12 p.m. and 4:59 a.m. | 6410 | 3530 | 2880 | 6.8% |
| Total - Language used most often at work for the population in private households aged 15 years and over who worked since January 1, 2015 - 25% sample data | 49330 | 24815 | 24520 | 52.2% |
| Single responses | 48075 | 24240 | 23840 | 50.8% |
| Official languages | 47235 | 23725 | 23510 | 49.9% |
| English | 46985 | 23680 | 23305 | 49.7% |
| French | 250 | 45 | 205 | 0.3% |
| Non-official languages | 840 | 510 | 330 | 0.9% |
| Aboriginal languages | 0 | 0 | 0 | 0% |
| Algonquian languages | 0 | 0 | 0 | 0% |
| Blackfoot | 0 | 0 | 0 | 0% |
| Cree-Montagnais languages | 0 | 0 | 0 | 0% |
| Atikamekw | 0 | 0 | 0 | 0% |
| Montagnais (Innu) | 0 | 0 | 0 | 0% |
| Moose Cree | 0 | 0 | 0 | 0% |
| Naskapi | 0 | 0 | 0 | 0% |
| Northern East Cree | 0 | 0 | 0 | 0% |
| Plains Cree | 0 | 0 | 0 | 0% |
| Southern East Cree | 0 | 0 | 0 | 0% |
| Swampy Cree | 0 | 0 | 0 | 0% |
| Woods Cree | 0 | 0 | 0 | 0% |
| Cree, n.o.s. | 0 | 0 | 0 | 0% |
| Eastern Algonquian languages | 0 | 0 | 0 | 0% |
| Malecite | 0 | 0 | 0 | 0% |
| Mi'kmaq | 0 | 0 | 0 | 0% |
| Ojibway-Potawatomi languages | 0 | 0 | 0 | 0% |
| Algonquin | 0 | 0 | 0 | 0% |
| Ojibway | 0 | 0 | 0 | 0% |
| Oji-Cree | 0 | 0 | 0 | 0% |
| Ottawa (Odawa) | 0 | 0 | 0 | 0% |
| Algonquian languages, n.i.e. | 0 | 0 | 0 | 0% |
| Athabaskan languages | 0 | 0 | 0 | 0% |
| Northern Athabaskan languages | 0 | 0 | 0 | 0% |
| Babine (Wetsuwet'en) | 0 | 0 | 0 | 0% |
| Beaver | 0 | 0 | 0 | 0% |
| Carrier | 0 | 0 | 0 | 0% |
| Chilcotin | 0 | 0 | 0 | 0% |
| Dene | 0 | 0 | 0 | 0% |
| Dogrib (Tlicho) | 0 | 0 | 0 | 0% |
| Gwich'in | 0 | 0 | 0 | 0% |
| Sarsi (Sarcee) | 0 | 0 | 0 | 0% |
| Sekani | 0 | 0 | 0 | 0% |
| Slavey-Hare languages | 0 | 0 | 0 | 0% |
| North Slavey (Hare) | 0 | 0 | 0 | 0% |
| South Slavey | 0 | 0 | 0 | 0% |
| Slavey, n.o.s. | 0 | 0 | 0 | 0% |
| Tahltan languages | 0 | 0 | 0 | 0% |
| Kaska (Nahani) | 0 | 0 | 0 | 0% |
| Tahltan | 0 | 0 | 0 | 0% |
| Tutchone languages | 0 | 0 | 0 | 0% |
| Northern Tutchone | 0 | 0 | 0 | 0% |
| Southern Tutchone | 0 | 0 | 0 | 0% |
| Athabaskan languages, n.i.e. | 0 | 0 | 0 | 0% |
| Haida | 0 | 0 | 0 | 0% |
| Inuit languages | 0 | 0 | 0 | 0% |
| Inuinnaqtun (Inuvialuktun) | 0 | 0 | 0 | 0% |
| Inuktitut | 0 | 0 | 0 | 0% |
| Inuit languages, n.i.e. | 0 | 0 | 0 | 0% |
| Iroquoian languages | 0 | 0 | 0 | 0% |
| Cayuga | 0 | 0 | 0 | 0% |
| Mohawk | 0 | 0 | 0 | 0% |
| Oneida | 0 | 0 | 0 | 0% |
| Iroquoian languages, n.i.e. | 0 | 0 | 0 | 0% |
| Kutenai | 0 | 0 | 0 | 0% |
| Michif | 0 | 0 | 0 | 0% |
| Salish languages | 0 | 0 | 0 | 0% |
| Comox | 0 | 0 | 0 | 0% |
| Halkomelem | 0 | 0 | 0 | 0% |
| Lillooet | 0 | 0 | 0 | 0% |
| Okanagan | 0 | 0 | 0 | 0% |
| Shuswap (Secwepemctsin) | 0 | 0 | 0 | 0% |
| Squamish | 0 | 0 | 0 | 0% |
| Straits | 0 | 0 | 0 | 0% |
| Thompson (Ntlakapamux) | 0 | 0 | 0 | 0% |
| Salish languages, n.i.e. | 0 | 0 | 0 | 0% |
| Siouan languages | 0 | 0 | 0 | 0% |
| Dakota | 0 | 0 | 0 | 0% |
| Stoney | 0 | 0 | 0 | 0% |
| Siouan languages, n.i.e. | 0 | 0 | 0 | 0% |
| Tlingit | 0 | 0 | 0 | 0% |
| Tsimshian languages | 0 | 0 | 0 | 0% |
| Gitxsan (Gitksan) | 0 | 0 | 0 | 0% |
| Nisga'a | 0 | 0 | 0 | 0% |
| Tsimshian | 0 | 0 | 0 | 0% |
| Wakashan languages | 0 | 0 | 0 | 0% |
| Haisla | 0 | 0 | 0 | 0% |
| Heiltsuk | 0 | 0 | 0 | 0% |
| Kwakiutl (Kwak'wala) | 0 | 0 | 0 | 0% |
| Nuu-chah-nulth (Nootka) | 0 | 0 | 0 | 0% |
| Wakashan languages, n.i.e. | 0 | 0 | 0 | 0% |
| Aboriginal languages, n.o.s. | 0 | 0 | 0 | 0% |
| Non-Aboriginal languages | 840 | 510 | 330 | 0.9% |
| Afro-Asiatic languages | 75 | 55 | 20 | 0.1% |
| Berber languages | 0 | 0 | 0 | 0% |
| Kabyle | 0 | 0 | 0 | 0% |
| Berber languages, n.i.e. | 0 | 0 | 0 | 0% |
| Cushitic languages | 0 | 0 | 0 | 0% |
| Bilen | 0 | 0 | 0 | 0% |
| Oromo | 0 | 0 | 0 | 0% |
| Somali | 0 | 0 | 0 | 0% |
| Cushitic languages, n.i.e. | 0 | 0 | 0 | 0% |
| Semitic languages | 70 | 55 | 15 | 0.1% |
| Amharic | 0 | 0 | 0 | 0% |
| Arabic | 70 | 55 | 20 | 0.1% |
| Assyrian Neo-Aramaic | 0 | 0 | 0 | 0% |
| Chaldean Neo-Aramaic | 0 | 0 | 0 | 0% |
| Harari | 0 | 0 | 0 | 0% |
| Hebrew | 0 | 0 | 0 | 0% |
| Maltese | 0 | 0 | 0 | 0% |
| Tigrigna | 0 | 0 | 0 | 0% |
| Semitic languages, n.i.e. | 0 | 0 | 0 | 0% |
| Afro-Asiatic languages, n.i.e. | 0 | 0 | 0 | 0% |
| Austro-Asiatic languages | 0 | 0 | 0 | 0% |
| Khmer (Cambodian) | 0 | 0 | 0 | 0% |
| Vietnamese | 0 | 0 | 0 | 0% |
| Austro-Asiatic languages, n.i.e | 0 | 0 | 0 | 0% |
| Austronesian languages | 20 | 15 | 10 | 0% |
| Bikol | 0 | 0 | 0 | 0% |
| Cebuano | 0 | 0 | 0 | 0% |
| Fijian | 0 | 0 | 0 | 0% |
| Hiligaynon | 0 | 0 | 0 | 0% |
| Ilocano | 0 | 0 | 0 | 0% |
| Malagasy | 0 | 0 | 0 | 0% |
| Malay | 0 | 0 | 0 | 0% |
| Pampangan (Kapampangan, Pampango) | 0 | 0 | 0 | 0% |
| Pangasinan | 0 | 0 | 0 | 0% |
| Tagalog (Pilipino, Filipino) | 25 | 10 | 10 | 0% |
| Waray-Waray | 0 | 0 | 0 | 0% |
| Austronesian languages, n.i.e. | 0 | 0 | 0 | 0% |
| Creole languages | 0 | 0 | 0 | 0% |
| Haitian Creole | 0 | 0 | 0 | 0% |
| Creole, n.o.s. | 0 | 0 | 0 | 0% |
| Creole languages, n.i.e. | 0 | 0 | 0 | 0% |
| Dravidian languages | 10 | 0 | 10 | 0% |
| Kannada | 0 | 0 | 0 | 0% |
| Malayalam | 0 | 0 | 0 | 0% |
| Tamil | 10 | 0 | 0 | 0% |
| Telugu | 0 | 0 | 0 | 0% |
| Dravidian languages, n.i.e. | 0 | 0 | 0 | 0% |
| Hmong-Mien languages | 0 | 0 | 0 | 0% |
| Indo-European languages | 310 | 200 | 110 | 0.3% |
| Albanian | 10 | 0 | 10 | 0% |
| Armenian | 40 | 30 | 15 | 0% |
| Balto-Slavic languages | 25 | 15 | 10 | 0% |
| Baltic languages | 0 | 0 | 0 | 0% |
| Latvian | 0 | 0 | 0 | 0% |
| Lithuanian | 0 | 0 | 0 | 0% |
| Slavic languages | 25 | 15 | 10 | 0% |
| Belarusan | 0 | 0 | 0 | 0% |
| Bosnian | 0 | 0 | 0 | 0% |
| Bulgarian | 0 | 0 | 0 | 0% |
| Croatian | 0 | 0 | 0 | 0% |
| Czech | 0 | 0 | 0 | 0% |
| Macedonian | 0 | 0 | 0 | 0% |
| Polish | 10 | 10 | 0 | 0% |
| Russian | 10 | 0 | 0 | 0% |
| Serbian | 10 | 0 | 10 | 0% |
| Serbo-Croatian | 0 | 0 | 0 | 0% |
| Slovak | 10 | 10 | 0 | 0% |
| Slovene (Slovenian) | 0 | 0 | 0 | 0% |
| Ukrainian | 0 | 0 | 0 | 0% |
| Slavic languages, n.i.e. | 0 | 0 | 0 | 0% |
| Celtic languages | 0 | 0 | 0 | 0% |
| Scottish Gaelic | 0 | 0 | 0 | 0% |
| Welsh | 0 | 0 | 0 | 0% |
| Celtic languages, n.i.e. | 0 | 0 | 0 | 0% |
| Germanic languages | 0 | 0 | 0 | 0% |
| Afrikaans | 0 | 0 | 0 | 0% |
| Danish | 0 | 0 | 0 | 0% |
| Dutch | 0 | 0 | 0 | 0% |
| Frisian | 0 | 0 | 0 | 0% |
| German | 0 | 0 | 0 | 0% |
| Icelandic | 0 | 0 | 0 | 0% |
| Norwegian | 0 | 0 | 0 | 0% |
| Swedish | 0 | 0 | 0 | 0% |
| Vlaams (Flemish) | 0 | 0 | 0 | 0% |
| Yiddish | 0 | 0 | 0 | 0% |
| Germanic languages, n.i.e. | 0 | 0 | 0 | 0% |
| Greek | 25 | 15 | 10 | 0% |
| Indo-Iranian languages | 100 | 80 | 25 | 0.1% |
| Indo-Aryan languages | 25 | 20 | 10 | 0% |
| Bengali | 0 | 0 | 0 | 0% |
| Gujarati | 0 | 0 | 0 | 0% |
| Hindi | 10 | 0 | 10 | 0% |
| Kashmiri | 0 | 0 | 0 | 0% |
| Konkani | 0 | 0 | 0 | 0% |
| Marathi | 0 | 0 | 0 | 0% |
| Nepali | 0 | 0 | 0 | 0% |
| Oriya (Odia) | 0 | 0 | 0 | 0% |
| Punjabi (Panjabi) | 10 | 0 | 0 | 0% |
| Sindhi | 0 | 0 | 0 | 0% |
| Sinhala (Sinhalese) | 0 | 0 | 0 | 0% |
| Urdu | 10 | 10 | 0 | 0% |
| Iranian languages | 80 | 60 | 20 | 0.1% |
| Kurdish | 10 | 10 | 0 | 0% |
| Pashto | 0 | 0 | 0 | 0% |
| Persian (Farsi) | 65 | 50 | 20 | 0.1% |
| Indo-Iranian languages, n.i.e. | 0 | 0 | 0 | 0% |
| Italic (Romance) languages | 115 | 60 | 55 | 0.1% |
| Catalan | 0 | 0 | 0 | 0% |
| Italian | 0 | 0 | 0 | 0% |
| Portuguese | 15 | 0 | 15 | 0% |
| Romanian | 20 | 10 | 0 | 0% |
| Spanish | 75 | 50 | 25 | 0.1% |
| Italic (Romance) languages, n.i.e. | 0 | 0 | 0 | 0% |
| Japanese | 25 | 10 | 15 | 0% |
| Kartvelian languages | 0 | 0 | 0 | 0% |
| Georgian | 0 | 0 | 0 | 0% |
| Korean | 85 | 60 | 25 | 0.1% |
| Mongolic languages | 0 | 0 | 0 | 0% |
| Mongolian | 0 | 0 | 0 | 0% |
| Niger-Congo languages | 0 | 0 | 0 | 0% |
| Akan (Twi) | 0 | 0 | 0 | 0% |
| Bamanankan | 0 | 0 | 0 | 0% |
| Edo | 0 | 0 | 0 | 0% |
| Ewe | 0 | 0 | 0 | 0% |
| Fulah (Pular, Pulaar, Fulfulde) | 0 | 0 | 0 | 0% |
| Ga | 0 | 0 | 0 | 0% |
| Ganda | 0 | 0 | 0 | 0% |
| Igbo | 0 | 0 | 0 | 0% |
| Lingala | 0 | 0 | 0 | 0% |
| Rundi (Kirundi) | 0 | 0 | 0 | 0% |
| Kinyarwanda (Rwanda) | 0 | 0 | 0 | 0% |
| Shona | 0 | 0 | 0 | 0% |
| Swahili | 0 | 0 | 0 | 0% |
| Wolof | 0 | 0 | 0 | 0% |
| Yoruba | 0 | 0 | 0 | 0% |
| Niger-Congo languages, n.i.e. | 0 | 0 | 0 | 0% |
| Nilo-Saharan languages | 0 | 0 | 0 | 0% |
| Dinka | 0 | 0 | 0 | 0% |
| Nilo-Saharan languages, n.i.e. | 0 | 0 | 0 | 0% |
| Sign languages | 10 | 0 | 0 | 0% |
| American Sign Language | 10 | 0 | 10 | 0% |
| Quebec Sign Language | 0 | 0 | 0 | 0% |
| Sign languages, n.i.e | 0 | 0 | 0 | 0% |
| Sino-Tibetan languages | 290 | 165 | 130 | 0.3% |
| Chinese languages | 290 | 160 | 130 | 0.3% |
| Cantonese | 90 | 45 | 45 | 0.1% |
| Hakka | 0 | 0 | 0 | 0% |
| Mandarin | 180 | 100 | 75 | 0.2% |
| Min Dong | 0 | 0 | 0 | 0% |
| Min Nan (Chaochow, Teochow, Fukien, Taiwanese) | 10 | 10 | 10 | 0% |
| Wu (Shanghainese) | 0 | 0 | 0 | 0% |
| Chinese, n.o.s. | 10 | 10 | 0 | 0% |
| Chinese languages, n.i.e. | 0 | 0 | 0 | 0% |
| Tibeto-Burman languages | 0 | 0 | 0 | 0% |
| Burmese | 0 | 0 | 0 | 0% |
| Karenic languages | 0 | 0 | 0 | 0% |
| Tibetan | 0 | 0 | 0 | 0% |
| Tibeto-Burman languages, n.i.e. | 0 | 0 | 0 | 0% |
| Tai-Kadai languages | 0 | 0 | 0 | 0% |
| Lao | 0 | 0 | 0 | 0% |
| Thai | 0 | 0 | 0 | 0% |
| Tai-Kadai languages, n.i.e | 0 | 0 | 0 | 0% |
| Turkic languages | 10 | 10 | 0 | 0% |
| Azerbaijani | 0 | 0 | 0 | 0% |
| Turkish | 0 | 10 | 0 | 0% |
| Uyghur | 0 | 0 | 0 | 0% |
| Uzbek | 0 | 0 | 0 | 0% |
| Turkic languages, n.i.e. | 0 | 0 | 0 | 0% |
| Uralic languages | 15 | 10 | 10 | 0% |
| Estonian | 10 | 0 | 0 | 0% |
| Finnish | 15 | 0 | 10 | 0% |
| Hungarian | 0 | 0 | 0 | 0% |
| Uralic languages, n.i.e. | 0 | 0 | 0 | 0% |
| Other languages, n.i.e. | 0 | 0 | 0 | 0% |
| Multiple responses | 1255 | 575 | 685 | 1.3% |
| English and French | 425 | 195 | 235 | 0.4% |
| English and non-official language | 810 | 375 | 440 | 0.9% |
| French and non-official language | 0 | 0 | 0 | 0% |
| English, French and non-official language | 15 | 0 | 10 | 0% |
| Total - Other language(s) used regularly at work for the population in private households aged 15 years and over who worked since January 1, 2015 - 25% Sample Data | 49330 | 24810 | 24520 | 52.2% |
| None | 45530 | 22850 | 22680 | 48.1% |
| English | 585 | 295 | 290 | 0.6% |
| French | 750 | 320 | 430 | 0.8% |
| Non-official language | 2395 | 1330 | 1065 | 2.5% |
| Aboriginal | 0 | 0 | 0 | 0% |
| Non-Aboriginal | 2400 | 1325 | 1070 | 2.5% |
| English and French | 0 | 0 | 0 | 0% |
| English and non-official language | 0 | 0 | 10 | 0% |
| French and non-official language | 55 | 15 | 40 | 0.1% |
| English, French and non-official language | 0 | 0 | 0 | 0% |
| Total - Mobility status 1 year ago - 25% sample data | 92045 | 43330 | 48715 | 97.3% |
| Non-movers | 79535 | 36975 | 42555 | 84.1% |
| Movers | 12515 | 6350 | 6165 | 13.2% |
| Non-migrants | 8155 | 4035 | 4120 | 8.6% |
| Migrants | 4350 | 2310 | 2040 | 4.6% |
| Internal migrants | 1750 | 905 | 840 | 1.9% |
| Intraprovincial migrants | 1310 | 680 | 625 | 1.4% |
| Interprovincial migrants | 435 | 220 | 215 | 0.5% |
| External migrants | 2605 | 1405 | 1195 | 2.8% |
| Total - Mobility status 5 years ago - 25% sample data | 88185 | 41295 | 46900 | 93.2% |
| Non-movers | 52535 | 24085 | 28450 | 55.5% |
| Movers | 35655 | 17210 | 18445 | 37.7% |
| Non-migrants | 22560 | 10745 | 11820 | 23.9% |
| Migrants | 13090 | 6460 | 6630 | 13.8% |
| Internal migrants | 4265 | 1975 | 2290 | 4.5% |
| Intraprovincial migrants | 3490 | 1565 | 1925 | 3.7% |
| Interprovincial migrants | 780 | 410 | 365 | 0.8% |
| External migrants | 8825 | 4490 | 4335 | 9.3% |
