Census Profile, 2021 Census of Population
Profile table
Characteristic | 24662899More information:
Quebec [Dissemination area] Remove |
24663140More information:
Quebec [Dissemination area] Remove |
Montréal, Territoire équivalent (TÉ)More information:
Quebec [Census division] Remove |
24660951More information:
Quebec [Dissemination area] Remove |
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Counts | Counts | Counts | Counts | |||||||||
Total | Men+ | Women+ | Total | Men+ | Women+ | Total | Men+ | Women+ | Total | Men+ | Women+ | |
Population and dwellings | ||||||||||||
Population, 20211 | 524 | ... | ... | 871 | ... | ... | 2,004,265 | ... | ... | 535 | ... | ... |
Population, 20161 | ... | ... | ... | ... | ... | ... | 1,942,044 | ... | ... | ... | ... | ... |
Population percentage change, 2016 to 2021 | ... | ... | ... | ... | ... | ... | 3.2 | ... | ... | ... | ... | ... |
Total private dwellings2 | 160 | ... | ... | 337 | ... | ... | 976,966 | ... | ... | 223 | ... | ... |
Private dwellings occupied by usual residents3 | 158 | ... | ... | 319 | ... | ... | 910,359 | ... | ... | 216 | ... | ... |
Population density per square kilometre | 2,187.9 | ... | ... | 2,357.9 | ... | ... | 4,022.3 | ... | ... | 15,070.4 | ... | ... |
Land area in square kilometres | 0.24 | ... | ... | 0.37 | ... | ... | 498.29 | ... | ... | 0.04 | ... | ... |
Age characteristics | ||||||||||||
Total - Age groups of the population - 100% data | 525 | 275 | 250 | 870 | 415 | 455 | 2,004,265 | 983,805 | 1,020,465 | 535 | 275 | 260 |
0 to 14 years | 105 | 65 | 40 | 140 | 75 | 70 | 309,765 | 158,545 | 151,225 | 105 | 55 | 45 |
0 to 4 years | 25 | 10 | 10 | 30 | 10 | 15 | 99,195 | 50,760 | 48,435 | 30 | 15 | 15 |
5 to 9 years | 45 | 30 | 10 | 45 | 25 | 20 | 106,985 | 54,660 | 52,320 | 35 | 20 | 15 |
10 to 14 years | 35 | 15 | 15 | 70 | 35 | 30 | 103,590 | 53,120 | 50,470 | 40 | 25 | 15 |
15 to 64 years | 355 | 180 | 175 | 550 | 265 | 280 | 1,343,170 | 674,055 | 669,120 | 345 | 180 | 165 |
15 to 19 years | 35 | 20 | 15 | 50 | 20 | 30 | 97,525 | 49,340 | 48,180 | 25 | 15 | 10 |
20 to 24 years | 40 | 20 | 20 | 55 | 25 | 30 | 140,025 | 70,895 | 69,125 | 40 | 20 | 15 |
25 to 29 years | 40 | 25 | 15 | 45 | 30 | 15 | 165,525 | 83,630 | 81,895 | 35 | 20 | 20 |
30 to 34 years | 25 | 5 | 15 | 35 | 20 | 15 | 157,725 | 78,995 | 78,730 | 30 | 20 | 15 |
35 to 39 years | 30 | 15 | 15 | 35 | 20 | 15 | 149,265 | 74,115 | 75,155 | 35 | 20 | 15 |
40 to 44 years | 30 | 15 | 15 | 60 | 25 | 35 | 142,365 | 70,920 | 71,445 | 40 | 15 | 20 |
45 to 49 years | 30 | 15 | 15 | 60 | 25 | 35 | 125,505 | 62,690 | 62,815 | 30 | 15 | 15 |
50 to 54 years | 40 | 20 | 20 | 65 | 30 | 35 | 121,710 | 61,735 | 59,975 | 35 | 20 | 15 |
55 to 59 years | 50 | 25 | 25 | 65 | 30 | 35 | 125,465 | 63,810 | 61,655 | 35 | 10 | 25 |
60 to 64 years | 40 | 20 | 20 | 70 | 35 | 40 | 118,065 | 57,920 | 60,140 | 35 | 20 | 20 |
65 years and over | 70 | 30 | 35 | 180 | 80 | 100 | 351,325 | 151,210 | 200,120 | 85 | 40 | 45 |
65 to 69 years | 30 | 15 | 15 | 60 | 30 | 30 | 99,325 | 46,730 | 52,595 | 30 | 10 | 10 |
70 to 74 years | 20 | 10 | 5 | 50 | 25 | 25 | 86,030 | 39,185 | 46,845 | 30 | 15 | 10 |
75 to 79 years | 10 | 5 | 5 | 30 | 10 | 20 | 63,215 | 27,320 | 35,895 | 20 | 5 | 15 |
80 to 84 years | 5 | 5 | 0 | 25 | 15 | 10 | 46,875 | 18,960 | 27,915 | 10 | 5 | 5 |
85 years and over | 5 | 0 | 0 | 15 | 5 | 10 | 55,885 | 19,015 | 36,870 | 5 | 5 | 5 |
85 to 89 years | 5 | 0 | 0 | 10 | 5 | 5 | 33,210 | 12,200 | 21,010 | 5 | 0 | 5 |
90 to 94 years | 0 | 0 | 0 | 10 | 0 | 5 | 17,780 | 5,610 | 12,170 | 0 | 0 | 0 |
95 to 99 years | 0 | 0 | 0 | 0 | 0 | 0 | 4,290 | 1,075 | 3,210 | 0 | 0 | 0 |
100 years and over | 0 | 0 | 0 | 0 | 0 | 0 | 610 | 125 | 480 | 0 | 0 | 0 |
Total - Distribution (%) of the population by broad age groups - 100% data | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 |
0 to 14 years | 20.0 | 23.6 | 16.0 | 16.1 | 18.1 | 15.4 | 15.5 | 16.1 | 14.8 | 19.6 | 20.0 | 17.3 |
15 to 64 years | 67.6 | 65.5 | 70.0 | 63.2 | 63.9 | 61.5 | 67.0 | 68.5 | 65.6 | 64.5 | 65.5 | 63.5 |
65 years and over | 13.3 | 10.9 | 14.0 | 20.7 | 19.3 | 22.0 | 17.5 | 15.4 | 19.6 | 15.9 | 14.5 | 17.3 |
85 years and over | 1.0 | 0.0 | 0.0 | 1.7 | 1.2 | 2.2 | 2.8 | 1.9 | 3.6 | 0.9 | 1.8 | 1.9 |
Average age of the population | 38.7 | 37.2 | 40.4 | 43.6 | 42.4 | 44.6 | 41.0 | 39.8 | 42.1 | 39.7 | 38.4 | 41.0 |
Median age of the population | 38.4 | 36.8 | 41.2 | 45.6 | 44.4 | 46.8 | 39.6 | 38.4 | 40.4 | 39.2 | 36.8 | 40.8 |
Household and dwelling characteristics | ||||||||||||
Total - Occupied private dwellings by structural type of dwelling - 100% data | 160 | ... | ... | 320 | ... | ... | 910,360 | ... | ... | 215 | ... | ... |
Single-detached house | 95 | ... | ... | 295 | ... | ... | 100,615 | ... | ... | 0 | ... | ... |
Semi-detached house | 25 | ... | ... | 10 | ... | ... | 32,530 | ... | ... | 0 | ... | ... |
Row house | 5 | ... | ... | 0 | ... | ... | 34,075 | ... | ... | 0 | ... | ... |
Apartment or flat in a duplex | 25 | ... | ... | 5 | ... | ... | 110,440 | ... | ... | 215 | ... | ... |
Apartment in a building that has fewer than five storeys | 5 | ... | ... | 5 | ... | ... | 479,885 | ... | ... | 0 | ... | ... |
Apartment in a building that has five or more storeys | 0 | ... | ... | 0 | ... | ... | 148,935 | ... | ... | 0 | ... | ... |
Other single-attached house | 0 | ... | ... | 0 | ... | ... | 3,450 | ... | ... | 0 | ... | ... |
Movable dwelling4 | 0 | ... | ... | 0 | ... | ... | 430 | ... | ... | 0 | ... | ... |
Total - Private households by household size - 100% data | 160 | ... | ... | 315 | ... | ... | 910,355 | ... | ... | 215 | ... | ... |
1 person | 30 | ... | ... | 55 | ... | ... | 367,400 | ... | ... | 65 | ... | ... |
2 persons | 35 | ... | ... | 110 | ... | ... | 271,730 | ... | ... | 65 | ... | ... |
3 persons | 25 | ... | ... | 60 | ... | ... | 118,205 | ... | ... | 30 | ... | ... |
4 persons | 40 | ... | ... | 70 | ... | ... | 98,205 | ... | ... | 35 | ... | ... |
5 or more persons | 30 | ... | ... | 25 | ... | ... | 54,820 | ... | ... | 20 | ... | ... |
Number of persons in private households | 525 | 275 | 250 | 870 | 415 | 450 | 1,959,355 | 965,630 | 993,730 | 535 | 275 | 260 |
Average household size | 3.3 | ... | ... | 2.7 | ... | ... | 2.2 | ... | ... | 2.5 | ... | ... |
Marital status | ||||||||||||
Total - Marital status for the total population aged 15 years and over - 100% data | 420 | 215 | 210 | 730 | 345 | 385 | 1,694,500 | 825,260 | 869,235 | 430 | 220 | 215 |
Married or living common-law | 225 | 110 | 115 | 465 | 230 | 230 | 822,440 | 414,330 | 408,115 | 215 | 105 | 110 |
Married | 170 | 85 | 85 | 380 | 190 | 190 | 577,060 | 289,455 | 287,600 | 160 | 80 | 80 |
Living common-law | 50 | 25 | 25 | 85 | 45 | 45 | 245,385 | 124,870 | 120,510 | 55 | 25 | 25 |
Living common law - Never married | 35 | 15 | 20 | 60 | 30 | 30 | 207,040 | 104,785 | 102,250 | 45 | 20 | 20 |
Living common law - Separated | 0 | 0 | 0 | 0 | 0 | 0 | 3,190 | 1,835 | 1,355 | 0 | 0 | 0 |
Living common law - Divorced | 15 | 10 | 5 | 25 | 10 | 15 | 32,295 | 16,915 | 15,380 | 10 | 10 | 5 |
Living common law - Widowed | 5 | 0 | 5 | 5 | 0 | 5 | 2,855 | 1,335 | 1,520 | 0 | 0 | 0 |
Not married and not living common-law | 195 | 100 | 95 | 265 | 110 | 150 | 872,060 | 410,935 | 461,125 | 215 | 110 | 100 |
Not married and not living common law - Never married | 145 | 80 | 65 | 195 | 100 | 95 | 627,845 | 333,150 | 294,700 | 150 | 85 | 65 |
Not married and not living common law - Separated | 10 | 0 | 10 | 10 | 0 | 5 | 34,795 | 14,820 | 19,975 | 15 | 10 | 5 |
Not married and not living common law - Divorced | 35 | 15 | 20 | 30 | 10 | 20 | 126,605 | 46,380 | 80,225 | 35 | 15 | 25 |
Not married and not living common law - Widowed | 10 | 0 | 5 | 35 | 5 | 30 | 82,815 | 16,590 | 66,225 | 20 | 5 | 15 |
Family characteristics | ||||||||||||
Total - Census families in private households by family size - 100% data5 | 135 | ... | ... | 265 | ... | ... | 495,445 | ... | ... | 145 | ... | ... |
2 persons | 50 | ... | ... | 115 | ... | ... | 251,075 | ... | ... | 70 | ... | ... |
3 persons | 30 | ... | ... | 60 | ... | ... | 107,265 | ... | ... | 20 | ... | ... |
4 persons | 30 | ... | ... | 65 | ... | ... | 93,300 | ... | ... | 35 | ... | ... |
5 or more persons | 25 | ... | ... | 25 | ... | ... | 43,810 | ... | ... | 15 | ... | ... |
Average size of census families | 3.3 | ... | ... | 3.0 | ... | ... | 2.9 | ... | ... | 3.0 | ... | ... |
Average number of children in census families with children6 | 2.1 | ... | ... | 1.8 | ... | ... | 1.8 | ... | ... | 1.9 | ... | ... |
Total number of census families in private households - 100% data | 140 | ... | ... | 265 | ... | ... | 495,445 | ... | ... | 145 | ... | ... |
Total couple families | 110 | ... | ... | 230 | ... | ... | 395,645 | ... | ... | 105 | ... | ... |
Married couples | 85 | ... | ... | 185 | ... | ... | 273,070 | ... | ... | 75 | ... | ... |
With children6 | 55 | ... | ... | 115 | ... | ... | 162,745 | ... | ... | 40 | ... | ... |
Without children | 25 | ... | ... | 75 | ... | ... | 110,325 | ... | ... | 35 | ... | ... |
Common-law couples | 25 | ... | ... | 40 | ... | ... | 122,570 | ... | ... | 25 | ... | ... |
With children6 | 10 | ... | ... | 20 | ... | ... | 44,875 | ... | ... | 20 | ... | ... |
Without children | 15 | ... | ... | 25 | ... | ... | 77,700 | ... | ... | 15 | ... | ... |
Total one-parent families | 30 | ... | ... | 30 | ... | ... | 99,805 | ... | ... | 40 | ... | ... |
in which the parent is a woman+ | 25 | ... | ... | 30 | ... | ... | 80,530 | ... | ... | 30 | ... | ... |
in which the parent is a man+ | 5 | ... | ... | 5 | ... | ... | 19,275 | ... | ... | 5 | ... | ... |
Total - Persons in private households - 100% data | 525 | 275 | 250 | 870 | 415 | 450 | 1,959,355 | 965,630 | 993,730 | 535 | 270 | 260 |
Total - Persons in census families | 455 | 235 | 225 | 785 | 385 | 400 | 1,432,990 | 702,710 | 730,275 | 425 | 215 | 210 |
Married spouses or common-law partners | 215 | 110 | 110 | 460 | 230 | 230 | 791,280 | 398,495 | 392,785 | 210 | 105 | 105 |
Parents in one-parent families | 30 | 5 | 25 | 35 | 5 | 25 | 99,805 | 19,275 | 80,525 | 35 | 10 | 30 |
Children6 | 210 | 120 | 90 | 290 | 150 | 145 | 541,905 | 284,935 | 256,965 | 175 | 105 | 70 |
In a two-parent family | 155 | 85 | 75 | 240 | 130 | 115 | 392,250 | 205,155 | 187,095 | 115 | 70 | 50 |
In a one-parent family | 50 | 35 | 15 | 55 | 25 | 30 | 149,655 | 79,785 | 69,865 | 60 | 35 | 25 |
Total - Persons not in census families in private households - 100% data | 70 | 40 | 30 | 85 | 30 | 55 | 526,370 | 262,915 | 263,450 | 110 | 60 | 50 |
Living alone | 25 | 20 | 10 | 60 | 20 | 35 | 367,395 | 175,660 | 191,740 | 65 | 35 | 30 |
Living with other relatives7 | 40 | 20 | 15 | 15 | 5 | 10 | 49,280 | 22,020 | 27,255 | 20 | 10 | 15 |
Living with non-relatives only | 5 | 0 | 0 | 10 | 10 | 5 | 109,690 | 65,235 | 44,455 | 25 | 15 | 10 |
Household type | ||||||||||||
Total - Household type - 100% data | 155 | ... | ... | 320 | ... | ... | 910,360 | ... | ... | 220 | ... | ... |
One-census-family households without additional persons | 105 | ... | ... | 240 | ... | ... | 455,970 | ... | ... | 120 | ... | ... |
Couple-family households | 90 | ... | ... | 220 | ... | ... | 370,250 | ... | ... | 90 | ... | ... |
With children6 | 60 | ... | ... | 130 | ... | ... | 194,165 | ... | ... | 50 | ... | ... |
Without children | 35 | ... | ... | 90 | ... | ... | 176,085 | ... | ... | 40 | ... | ... |
One-parent-family households | 15 | ... | ... | 25 | ... | ... | 85,720 | ... | ... | 30 | ... | ... |
Multigenerational households8 | 15 | ... | ... | 5 | ... | ... | 13,270 | ... | ... | 5 | ... | ... |
Multiple-census-family households9 | 0 | ... | ... | 5 | ... | ... | 1,960 | ... | ... | 0 | ... | ... |
One-census-family households with additional persons9 | 10 | ... | ... | 10 | ... | ... | 16,550 | ... | ... | 10 | ... | ... |
Two-or-more-person non-census-family households | 5 | ... | ... | 5 | ... | ... | 55,210 | ... | ... | 10 | ... | ... |
One-person households | 25 | ... | ... | 55 | ... | ... | 367,395 | ... | ... | 65 | ... | ... |
Income of individuals in 2020 | ||||||||||||
Total - Income statistics in 2020 for the population aged 15 years and over in private households - 100% data10 | 420 | 210 | 210 | 730 | 345 | 385 | 1,650,115 | 807,375 | 842,735 | 430 | 220 | 210 |
Number of total income recipients aged 15 years and over in private households in 2020 - 100% data | 405 | 200 | 205 | 695 | 335 | 360 | 1,585,095 | 775,175 | 809,920 | 410 | 215 | 200 |
Median total income in 2020 among recipients ($) | 34,400 | 33,200 | 36,800 | 46,000 | 48,000 | 46,000 | 37,600 | 39,600 | 36,000 | 38,400 | 36,400 | 40,400 |
Number of after-tax income recipients aged 15 years and over in private households in 2020 - 100% data | 405 | 200 | 205 | 695 | 335 | 360 | 1,585,510 | 775,375 | 810,135 | 410 | 215 | 200 |
Median after-tax income in 2020 among recipients ($) | 32,000 | 30,800 | 32,800 | 39,600 | 40,800 | 39,600 | 34,000 | 35,200 | 32,800 | 35,200 | 33,200 | 36,800 |
Number of market income recipients aged 15 years and over in private households in 2020 - 100% data | 350 | 175 | 175 | 645 | 315 | 330 | 1,400,285 | 695,300 | 704,985 | 370 | 195 | 180 |
Median market income in 2020 among recipients ($) | 27,400 | 28,600 | 27,000 | 40,000 | 43,200 | 37,600 | 31,000 | 35,200 | 27,000 | 27,400 | 29,400 | 26,400 |
Number of employment income recipients aged 15 years and over in private households in 2020 - 100% data | 310 | 155 | 160 | 505 | 255 | 250 | 1,155,055 | 594,975 | 560,080 | 310 | 170 | 140 |
Median employment income in 2020 among recipients ($) | 30,200 | 32,000 | 29,800 | 40,400 | 45,600 | 36,800 | 32,800 | 36,000 | 29,600 | 31,000 | 30,800 | 33,200 |
Number of government transfers recipients aged 15 years and over in private households in 2020 - 100% data | 350 | 165 | 185 | 550 | 235 | 310 | 1,324,675 | 616,720 | 707,960 | 365 | 185 | 180 |
Median government transfers in 2020 among recipients ($) | 12,000 | 11,300 | 12,100 | 11,700 | 11,000 | 12,100 | 10,800 | 9,600 | 12,000 | 13,200 | 10,500 | 15,300 |
Number of employment insurance benefits recipients aged 15 years and over in private households in 2020 - 100% data | 50 | 25 | 30 | 50 | 15 | 35 | 171,705 | 84,570 | 87,145 | 50 | 25 | 20 |
Median employment insurance benefits in 2020 among recipients ($) | 4,120 | 4,000 | 4,520 | 6,000 | x | 6,850 | 5,520 | 5,480 | 5,680 | 5,440 | 4,360 | 6,000 |
Number of COVID-19 emergency and recovery benefits recipients aged 15 years and over in private households in 2020 - 100% data | 155 | 85 | 70 | 200 | 95 | 105 | 529,640 | 276,110 | 253,530 | 155 | 95 | 60 |
Median COVID-19 emergency and recovery benefits in 2020 among recipients ($) | 10,000 | 8,200 | 10,000 | 8,000 | 8,000 | 8,000 | 8,000 | 8,000 | 8,000 | 8,500 | 8,500 | 8,000 |
Total - Income statistics in 2020 for the population aged 15 years and over in private households - 25% sample data11 | 450 | 220 | 230 | 735 | 350 | 380 | 1,650,130 | 807,560 | 842,575 | 395 | 195 | 200 |
Number of total income recipients aged 15 years and over in private households in 2020 - 25% sample data | 430 | 205 | 225 | 700 | 345 | 350 | 1,585,295 | 775,790 | 809,505 | 380 | 195 | 185 |
Average total income in 2020 among recipients ($) | 42,800 | 45,200 | 40,400 | 60,100 | 71,600 | 48,800 | 53,250 | 60,050 | 46,760 | 44,400 | 42,800 | 46,000 |
Number of after-tax income recipients aged 15 years and over in private households in 2020 - 25% sample data | 430 | 205 | 225 | 700 | 345 | 350 | 1,585,735 | 776,005 | 809,740 | 380 | 195 | 185 |
Average after-tax income in 2020 among recipients ($) | 36,800 | 38,400 | 35,200 | 43,900 | 48,000 | 39,800 | 42,520 | 46,280 | 38,960 | 38,000 | 36,400 | 39,600 |
Number of market income recipients aged 15 years and over in private households in 2020 - 25% sample data | 365 | 175 | 190 | 630 | 335 | 295 | 1,399,405 | 695,445 | 703,960 | 365 | 180 | 185 |
Average market income in 2020 among recipients ($) | 37,800 | 42,400 | 33,600 | 56,000 | 66,400 | 44,400 | 48,960 | 57,350 | 40,640 | 34,600 | 36,000 | 33,200 |
Number of employment income recipients aged 15 years and over in private households in 2020 - 25% sample data | 330 | 155 | 175 | 520 | 280 | 235 | 1,155,055 | 595,500 | 559,555 | 275 | 145 | 125 |
Average employment income in 2020 among recipients ($) | 38,600 | 42,000 | 35,600 | 50,200 | 62,000 | 36,000 | 48,760 | 55,650 | 41,480 | 41,600 | 41,000 | 42,000 |
Number of government transfers recipients aged 15 years and over in private households in 2020 - 25% sample data | 385 | 170 | 215 | 545 | 245 | 295 | 1,323,550 | 616,015 | 707,535 | 335 | 175 | 160 |
Average government transfers in 2020 among recipients ($) | 11,440 | 10,600 | 12,100 | 12,720 | 11,300 | 13,800 | 12,040 | 10,900 | 13,040 | 12,800 | 9,800 | 16,000 |
Number of employment insurance benefits recipients aged 15 years and over in private households in 2020 - 25% sample data | 40 | 20 | 20 | 50 | 20 | 30 | 171,360 | 84,435 | 86,925 | 40 | 30 | 0 |
Average employment insurance benefits in 2020 among recipients ($) | 4,800 | 5,200 | 4,500 | 10,400 | 4,500 | 14,000 | 6,840 | 6,065 | 7,590 | 9,600 | 4,800 | ... |
Number of COVID-19 emergency and recovery benefits recipients aged 15 years and over in private households in 2020 - 25% sample data | 155 | 75 | 80 | 240 | 120 | 120 | 528,305 | 276,300 | 252,005 | 130 | 75 | 55 |
Average COVID-19 emergency and recovery benefits in 2020 among recipients ($) | 8,400 | 9,200 | 7,800 | 10,000 | 10,000 | 10,000 | 9,110 | 9,140 | 9,070 | 10,000 | 10,000 | 10,000 |
Total - Employment income statistics in 2020 for the population aged 15 years and over in private households - 25% sample data12 | 445 | 220 | 230 | 730 | 350 | 380 | 1,650,135 | 807,560 | 842,575 | 395 | 195 | 200 |
Number of employment income recipients in 2020 who worked full-year full-time in 2020 - 25% sample data13 | 175 | 90 | 85 | 245 | 150 | 100 | 514,340 | 278,505 | 235,830 | 135 | 75 | 55 |
Median employment income in 2020 for full-year full-time workers in 2020 ($)14 | 52,000 | 58,800 | 46,000 | 54,400 | 68,000 | 48,400 | 60,000 | 63,600 | 56,000 | 46,000 | 45,600 | 46,800 |
Average employment income in 2020 for full-year full-time workers in 2020 ($)15 | 54,400 | 54,000 | 54,000 | 82,000 | 100,000 | 57,000 | 78,700 | 88,300 | 67,400 | 54,000 | 48,000 | 62,000 |
Number of employment income recipients in 2020 who worked part-year or part-time in 2020 - 25% sample data16 | 95 | 25 | 70 | 220 | 115 | 100 | 504,455 | 247,565 | 256,895 | 95 | 55 | 40 |
Median employment income in 2020 of those who worked part-year or part-time in 2020 ($) | 14,800 | x | 9,500 | 13,500 | 9,100 | 22,000 | 16,400 | 17,400 | 15,500 | 23,800 | 36,400 | 18,400 |
Average employment income in 2020 of those who worked part-year or part-time in 2020 ($) | 23,200 | 38,000 | 18,500 | 22,200 | 19,600 | 25,600 | 26,920 | 29,400 | 24,520 | 35,500 | 39,000 | 30,000 |
Composition of total income in 2020 of the population aged 15 years and over in private households (%) - 25% sample data17 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 |
Market income (%)18 | 76.0 | 80.0 | 71.0 | 84.0 | 89.0 | 76.0 | 81.2 | 85.6 | 75.6 | 74.5 | 79.0 | 70.0 |
Employment income (%)19 | 70.0 | 72.0 | 68.0 | 62.0 | 71.0 | 49.0 | 66.8 | 71.0 | 61.3 | 67.0 | 74.0 | 62.0 |
Government transfers (%)20 | 24.0 | 19.6 | 28.4 | 16.4 | 11.2 | 24.0 | 18.9 | 14.4 | 24.4 | 25.6 | 21.2 | 30.0 |
Employment insurance benefits (%) | 1.1 | 1.2 | 1.0 | 1.3 | 0.3 | 2.4 | 1.4 | 1.1 | 1.7 | 2.4 | 1.8 | x |
COVID-19 - Government income support and benefits (%) | 8.1 | 8.0 | 8.4 | 6.2 | 5.1 | 7.6 | 6.4 | 5.9 | 7.0 | 8.6 | 9.8 | 7.6 |
COVID-19 - Emergency and recovery benefits (%) | 7.0 | 7.2 | 6.8 | 5.7 | 4.8 | 7.0 | 5.7 | 5.4 | 6.0 | 7.8 | 9.0 | 6.4 |
Total - Total income groups in 2020 for the population aged 15 years and over in private households - 100% data21 | 420 | 215 | 210 | 730 | 345 | 385 | 1,650,115 | 807,380 | 842,740 | 430 | 215 | 215 |
Without total income | 15 | 5 | 10 | 40 | 10 | 25 | 65,020 | 32,205 | 32,820 | 20 | 5 | 10 |
With total income | 405 | 205 | 200 | 695 | 330 | 360 | 1,585,095 | 775,175 | 809,915 | 415 | 210 | 200 |
Under $10,000 (including loss) | 35 | 25 | 10 | 55 | 25 | 30 | 138,250 | 65,670 | 72,580 | 20 | 10 | 5 |
$10,000 to $19,999 | 60 | 25 | 40 | 60 | 30 | 35 | 200,450 | 93,060 | 107,390 | 55 | 25 | 25 |
$20,000 to $29,999 | 80 | 45 | 35 | 110 | 50 | 55 | 286,825 | 131,235 | 155,595 | 75 | 40 | 35 |
$30,000 to $39,999 | 50 | 25 | 30 | 80 | 35 | 45 | 215,455 | 102,705 | 112,755 | 65 | 35 | 35 |
$40,000 to $49,999 | 55 | 25 | 30 | 70 | 35 | 35 | 181,505 | 86,460 | 95,040 | 70 | 40 | 35 |
$50,000 to $59,999 | 40 | 15 | 25 | 60 | 25 | 35 | 138,185 | 64,805 | 73,380 | 50 | 20 | 30 |
$60,000 to $69,999 | 30 | 20 | 10 | 40 | 20 | 20 | 100,060 | 48,510 | 51,550 | 25 | 15 | 15 |
$70,000 to $79,999 | 20 | 10 | 5 | 45 | 20 | 25 | 74,165 | 37,625 | 36,540 | 20 | 10 | 10 |
$80,000 to $89,999 | 10 | 5 | 10 | 35 | 10 | 25 | 58,400 | 30,060 | 28,335 | 10 | 5 | 5 |
$90,000 to $99,999 | 10 | 0 | 5 | 20 | 10 | 10 | 42,240 | 22,360 | 19,875 | 5 | 5 | 0 |
$100,000 and over | 20 | 15 | 5 | 125 | 80 | 50 | 149,555 | 92,680 | 56,875 | 20 | 10 | 10 |
$100,000 to $149,999 | 15 | 10 | 0 | 70 | 40 | 30 | 90,980 | 53,275 | 37,705 | 15 | 10 | 5 |
$150,000 and over | 10 | 0 | 0 | 60 | 40 | 25 | 58,575 | 39,405 | 19,170 | 0 | 0 | 0 |
Total - After-tax income groups in 2020 for the population aged 15 years and over in private households - 100% data22 | 420 | 215 | 210 | 730 | 345 | 385 | 1,650,115 | 807,380 | 842,740 | 430 | 215 | 215 |
Without after-tax income | 15 | 5 | 10 | 40 | 10 | 25 | 64,605 | 32,005 | 32,605 | 20 | 5 | 10 |
With after-tax income | 405 | 205 | 200 | 695 | 330 | 360 | 1,585,510 | 775,375 | 810,135 | 415 | 210 | 200 |
Under $10,000 (including loss) | 35 | 25 | 15 | 65 | 30 | 30 | 144,275 | 67,955 | 76,320 | 20 | 10 | 10 |
$10,000 to $19,999 | 65 | 25 | 40 | 60 | 30 | 30 | 210,975 | 98,495 | 112,480 | 55 | 25 | 30 |
$20,000 to $29,999 | 85 | 50 | 30 | 120 | 60 | 65 | 334,395 | 155,845 | 178,545 | 90 | 50 | 35 |
$30,000 to $39,999 | 75 | 35 | 40 | 100 | 50 | 55 | 257,145 | 124,835 | 132,315 | 75 | 40 | 35 |
$40,000 to $49,999 | 55 | 20 | 35 | 80 | 35 | 45 | 204,980 | 97,805 | 107,175 | 80 | 40 | 40 |
$50,000 to $59,999 | 35 | 20 | 20 | 75 | 35 | 40 | 139,760 | 67,315 | 72,450 | 45 | 20 | 25 |
$60,000 to $69,999 | 25 | 5 | 15 | 45 | 15 | 25 | 93,705 | 46,700 | 47,005 | 20 | 10 | 10 |
$70,000 to $79,999 | 10 | 5 | 0 | 30 | 10 | 15 | 61,765 | 31,815 | 29,945 | 10 | 5 | 5 |
$80,000 to $89,999 | 10 | 0 | 10 | 20 | 15 | 10 | 38,975 | 21,640 | 17,335 | 10 | 5 | 5 |
$90,000 to $99,999 | 5 | 0 | 0 | 25 | 15 | 5 | 25,855 | 14,955 | 10,900 | 0 | 0 | 0 |
$100,000 and over | 10 | 0 | 0 | 75 | 45 | 35 | 73,695 | 48,025 | 25,665 | 5 | 0 | 5 |
$100,000 to $124,999 | 10 | 0 | 0 | 40 | 20 | 25 | 33,165 | 20,265 | 12,905 | 5 | 0 | 0 |
$125,000 and over | 0 | 0 | 0 | 40 | 25 | 15 | 40,530 | 27,765 | 12,760 | 0 | 0 | 0 |
Total - Employment income groups in 2020 for the population aged 15 years and over in private households - 100% data19 | 420 | 215 | 210 | 730 | 345 | 385 | 1,650,115 | 807,380 | 842,740 | 430 | 215 | 215 |
Without employment income | 115 | 60 | 50 | 225 | 90 | 135 | 495,060 | 212,405 | 282,660 | 120 | 50 | 75 |
With employment income | 310 | 150 | 155 | 505 | 255 | 250 | 1,155,055 | 594,980 | 560,080 | 305 | 165 | 140 |
Under $5,000 (including loss) | 40 | 25 | 20 | 80 | 40 | 40 | 167,560 | 82,405 | 85,155 | 30 | 15 | 15 |
$5,000 to $9,999 | 35 | 15 | 15 | 45 | 20 | 20 | 111,575 | 52,975 | 58,595 | 35 | 15 | 20 |
$10,000 to $19,999 | 40 | 20 | 20 | 60 | 30 | 35 | 151,350 | 72,815 | 78,530 | 40 | 30 | 10 |
$20,000 to $29,999 | 35 | 15 | 20 | 30 | 10 | 25 | 116,030 | 56,295 | 59,730 | 40 | 20 | 20 |
$30,000 to $39,999 | 35 | 15 | 20 | 40 | 20 | 15 | 108,120 | 55,225 | 52,890 | 35 | 20 | 10 |
$40,000 to $49,999 | 35 | 15 | 25 | 45 | 15 | 25 | 104,250 | 51,950 | 52,300 | 35 | 20 | 20 |
$50,000 to $59,999 | 30 | 10 | 15 | 35 | 15 | 20 | 84,485 | 42,940 | 41,540 | 25 | 15 | 10 |
$60,000 to $69,999 | 15 | 15 | 5 | 20 | 10 | 5 | 66,190 | 35,045 | 31,145 | 15 | 5 | 10 |
$70,000 to $79,999 | 10 | 10 | 0 | 25 | 15 | 15 | 52,585 | 28,500 | 24,080 | 15 | 5 | 5 |
$80,000 to $89,999 | 15 | 5 | 10 | 25 | 5 | 15 | 46,000 | 24,150 | 21,850 | 10 | 5 | 5 |
$90,000 to $99,999 | 0 | 0 | 0 | 10 | 10 | 0 | 31,345 | 18,120 | 13,230 | 0 | 0 | 0 |
$100,000 and over | 10 | 10 | 5 | 90 | 60 | 30 | 115,575 | 74,545 | 41,030 | 20 | 10 | 10 |
$100,000 to $124,999 | 5 | 5 | 0 | 25 | 15 | 10 | 47,525 | 28,870 | 18,655 | 15 | 10 | 5 |
$125,000 and over | 10 | 0 | 0 | 65 | 40 | 25 | 68,050 | 45,675 | 22,375 | 5 | 0 | 5 |
Income of individuals in 2019 | ||||||||||||
Total - Income statistics in 2019 for the population aged 15 years and over in private households - 100% data23 | 420 | 210 | 210 | 730 | 345 | 385 | 1,650,115 | 807,375 | 842,735 | 430 | 220 | 210 |
Number of total income recipients aged 15 years and over in private households in 2019 - 100% data | 390 | 190 | 195 | 680 | 320 | 355 | 1,538,580 | 750,495 | 788,085 | 415 | 205 | 200 |
Median total income in 2019 among recipients ($) | 32,000 | 32,000 | 32,000 | 47,200 | 50,400 | 43,600 | 34,000 | 36,400 | 31,800 | 34,800 | 33,600 | 37,200 |
Number of after-tax income recipients aged 15 years and over in private households in 2019 - 100% data | 390 | 190 | 195 | 680 | 320 | 355 | 1,539,035 | 750,625 | 788,405 | 415 | 205 | 200 |
Median after-tax income in 2019 among recipients ($) | 29,400 | 28,800 | 29,800 | 40,400 | 42,400 | 38,400 | 31,000 | 32,800 | 29,400 | 31,200 | 29,800 | 34,000 |
Number of market income recipients aged 15 years and over in private households in 2019 - 100% data | 345 | 175 | 175 | 645 | 310 | 335 | 1,366,580 | 678,230 | 688,350 | 365 | 180 | 180 |
Median market income in 2019 among recipients ($) | 29,400 | 32,400 | 28,200 | 39,600 | 47,600 | 36,800 | 32,000 | 36,000 | 28,200 | 30,800 | 31,800 | 30,200 |
Number of employment income recipients aged 15 years and over in private households in 2019 - 100% data | 310 | 155 | 160 | 510 | 255 | 255 | 1,133,505 | 583,045 | 550,460 | 305 | 165 | 140 |
Median employment income in 2019 among recipients ($) | 30,400 | 37,200 | 28,800 | 40,800 | 52,000 | 35,600 | 33,600 | 36,800 | 30,400 | 34,000 | 32,400 | 35,200 |
Number of government transfers recipients aged 15 years and over in private households in 2019 - 100% data | 315 | 140 | 165 | 490 | 205 | 280 | 1,199,280 | 547,540 | 651,735 | 325 | 155 | 170 |
Median government transfers in 2019 among recipients ($) | 5,320 | 4,320 | 7,600 | 5,520 | 3,920 | 7,250 | 4,440 | 2,760 | 7,300 | 7,350 | 3,680 | 11,100 |
Number of employment insurance benefits recipients aged 15 years and over in private households in 2019 -100% data | 40 | 20 | 20 | 40 | 20 | 20 | 114,940 | 56,080 | 58,855 | 35 | 20 | 15 |
Median employment insurance benefits in 2019 among recipients ($) | 5,440 | x | x | 4,640 | x | x | 5,120 | 4,600 | 5,760 | 3,000 | x | x |
Total - Income statistics in 2019 for the population aged 15 years and over in private households - 25% sample data24 | 450 | 220 | 230 | 735 | 350 | 380 | 1,650,130 | 807,560 | 842,575 | 395 | 195 | 200 |
Number of total income recipients aged 15 years and over in private households in 2019 - 25% sample data | 415 | 195 | 220 | 680 | 330 | 355 | 1,538,450 | 750,620 | 787,830 | 370 | 190 | 185 |
Average total income in 2019 among recipients ($) | 39,600 | 44,000 | 36,000 | 61,700 | 81,600 | 43,000 | 50,000 | 57,050 | 43,280 | 41,000 | 41,600 | 40,400 |
Number of after-tax income recipients aged 15 years and over in private households in 2019 - 25% sample data | 415 | 195 | 220 | 680 | 330 | 355 | 1,538,920 | 750,780 | 788,145 | 370 | 190 | 185 |
Average after-tax income in 2019 among recipients ($) | 33,600 | 36,400 | 31,200 | 46,100 | 59,000 | 34,000 | 39,800 | 43,800 | 35,920 | 35,200 | 35,200 | 35,200 |
Number of market income recipients aged 15 years and over in private households in 2019 - 25% sample data | 365 | 170 | 190 | 630 | 320 | 315 | 1,365,190 | 677,795 | 687,395 | 345 | 165 | 175 |
Average market income in 2019 among recipients ($) | 37,400 | 43,600 | 31,800 | 61,000 | 79,500 | 42,000 | 49,080 | 57,750 | 40,560 | 36,800 | 41,600 | 32,400 |
Number of employment income recipients aged 15 years and over in private households in 2019 - 25% sample data | 320 | 150 | 170 | 520 | 265 | 255 | 1,132,415 | 582,685 | 549,730 | 275 | 145 | 125 |
Average employment income in 2019 among recipients ($) | 39,000 | 45,000 | 33,600 | 54,600 | 70,500 | 37,600 | 48,720 | 55,750 | 41,240 | 41,600 | 44,000 | 39,000 |
Number of government transfers recipients aged 15 years and over in private households in 2019 - 25% sample data | 325 | 150 | 180 | 465 | 200 | 260 | 1,198,940 | 547,060 | 651,880 | 305 | 145 | 160 |
Average government transfers in 2019 among recipients ($) | 8,640 | 7,000 | 10,000 | 7,800 | 7,700 | 7,900 | 8,250 | 6,740 | 9,510 | 8,800 | 6,400 | 11,000 |
Number of employment insurance benefits recipients aged 15 years and over in private households in 2019 - 25% sample data | 45 | 30 | 0 | 15 | 15 | 0 | 114,595 | 55,675 | 58,915 | 30 | 20 | 0 |
Average employment insurance benefits in 2019 among recipients ($) | 6,000 | 5,200 | ... | 12,000 | 9,000 | ... | 7,510 | 5,990 | 8,940 | 9,500 | 5,000 | ... |
Total - Employment income statistics in 2019 for the population aged 15 years and over in private households - 25% sample data25 | 445 | 220 | 230 | 730 | 350 | 380 | 1,650,135 | 807,560 | 842,575 | 395 | 195 | 200 |
Number of employment income recipients in 2019 who worked full-year full-time in 2020 - 25% sample data13 | 175 | 90 | 80 | 240 | 140 | 95 | 507,645 | 274,575 | 233,070 | 130 | 75 | 55 |
Median employment income in 2019 for full-year full-time workers in 2020 ($)14 | 46,400 | 51,200 | 44,400 | 57,600 | 67,000 | 42,000 | 54,400 | 58,400 | 50,400 | 45,600 | 48,000 | 40,400 |
Average employment income in 2019 for full-year full-time workers in 2020 ($)15 | 52,800 | 54,000 | 51,000 | 85,000 | 108,000 | 51,000 | 72,500 | 82,100 | 61,050 | 48,000 | 50,000 | 46,000 |
Number of employment income recipients in 2019 who worked part-year or part-time in 2020 - 25% sample data16 | 100 | 25 | 70 | 200 | 105 | 100 | 462,020 | 227,495 | 234,530 | 95 | 55 | 40 |
Median employment income in 2019 of those who worked part-year or part-time in 2020 ($) | 14,100 | x | 11,800 | 19,000 | 21,200 | 19,000 | 21,800 | 23,200 | 20,400 | 38,800 | 44,000 | 36,000 |
Average employment income in 2019 of those who worked part-year or part-time in 2020 ($) | 26,400 | 40,000 | 21,000 | 33,600 | 31,200 | 36,500 | 32,320 | 35,520 | 29,240 | 41,000 | 42,000 | 38,000 |
Composition of total income in 2019 of the population aged 15 years and over in private households (%) - 25% sample data | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 |
Market income (%) | 83.0 | 88.0 | 77.0 | 91.0 | 94.0 | 86.0 | 87.2 | 91.4 | 81.8 | 82.0 | 88.0 | 76.0 |
Employment income (%) | 76.5 | 80.0 | 73.0 | 67.5 | 71.0 | 62.0 | 71.8 | 75.8 | 66.6 | 74.0 | 80.0 | 66.0 |
Government transfers (%) | 17.2 | 12.4 | 22.8 | 8.6 | 5.8 | 13.6 | 12.8 | 8.6 | 18.2 | 17.6 | 11.6 | 24.0 |
Employment insurance benefits (%) | 1.5 | 2.0 | x | 0.5 | 0.6 | x | 1.1 | 0.8 | 1.6 | 1.8 | 1.0 | x |
Income of households in 2020 | ||||||||||||
Total - Income statistics for private households - 100% data26 | 160 | ... | ... | 315 | ... | ... | 910,355 | ... | ... | 215 | ... | ... |
Median total income of household in 2020 ($) | 106,000 | ... | ... | 111,000 | ... | ... | 66,000 | ... | ... | 74,500 | ... | ... |
Median after-tax income of household in 2020 ($) | 92,000 | ... | ... | 92,000 | ... | ... | 58,000 | ... | ... | 64,000 | ... | ... |
Total - Income statistics for one-person private households - 100% data | 25 | ... | ... | 55 | ... | ... | 367,395 | ... | ... | 65 | ... | ... |
Median total income of one-person households in 2020 ($) | 46,400 | ... | ... | 58,400 | ... | ... | 38,000 | ... | ... | 39,600 | ... | ... |
Median after-tax income of one-person households in 2020 ($) | 42,000 | ... | ... | 46,400 | ... | ... | 34,000 | ... | ... | 34,800 | ... | ... |
Total - Income statistics for two-or-more-persons private households - 100% data | 135 | ... | ... | 265 | ... | ... | 542,960 | ... | ... | 150 | ... | ... |
Median total income of two-or-more-person households in 2020 ($) | 113,000 | ... | ... | 122,000 | ... | ... | 92,000 | ... | ... | 92,000 | ... | ... |
Median after-tax income of two-or-more-person households in 2020 ($) | 97,000 | ... | ... | 104,000 | ... | ... | 80,000 | ... | ... | 82,000 | ... | ... |
Total - Income statistics for private households - 25% sample data27 | 165 | ... | ... | 325 | ... | ... | 910,360 | ... | ... | 200 | ... | ... |
Average total income of household in 2020 ($) | 113,000 | ... | ... | 131,000 | ... | ... | 92,700 | ... | ... | 84,000 | ... | ... |
Average after-tax income of household in 2020 ($) | 97,000 | ... | ... | 95,600 | ... | ... | 74,100 | ... | ... | 72,000 | ... | ... |
Total - Income statistics for one-person private households - 25% sample data | 30 | ... | ... | 45 | ... | ... | 367,255 | ... | ... | 65 | ... | ... |
Average total income of one-person households in 2020 ($) | 52,000 | ... | ... | 62,000 | ... | ... | 49,760 | ... | ... | 42,000 | ... | ... |
Average after-tax income of one-person households in 2020 ($) | 44,000 | ... | ... | 48,000 | ... | ... | 40,640 | ... | ... | 37,000 | ... | ... |
Total - Income statistics for two-or-more-persons private households - 25% sample data | 135 | ... | ... | 275 | ... | ... | 543,100 | ... | ... | 135 | ... | ... |
Average total income of two-or-more-person households in 2020 ($) | 126,000 | ... | ... | 143,000 | ... | ... | 121,800 | ... | ... | 104,000 | ... | ... |
Average after-tax income of two-or-more-person households in 2020 ($) | 108,000 | ... | ... | 104,000 | ... | ... | 96,700 | ... | ... | 88,000 | ... | ... |
Total - Household total income groups in 2020 for private households - 100% data21 | 160 | ... | ... | 315 | ... | ... | 910,355 | ... | ... | 215 | ... | ... |
Under $5,000 | 0 | ... | ... | 0 | ... | ... | 18,165 | ... | ... | 0 | ... | ... |
$5,000 to $9,999 | 0 | ... | ... | 0 | ... | ... | 10,335 | ... | ... | 0 | ... | ... |
$10,000 to $14,999 | 0 | ... | ... | 0 | ... | ... | 17,665 | ... | ... | 0 | ... | ... |
$15,000 to $19,999 | 0 | ... | ... | 0 | ... | ... | 25,730 | ... | ... | 0 | ... | ... |
$20,000 to $24,999 | 0 | ... | ... | 5 | ... | ... | 57,720 | ... | ... | 10 | ... | ... |
$25,000 to $29,999 | 0 | ... | ... | 0 | ... | ... | 41,160 | ... | ... | 10 | ... | ... |
$30,000 to $34,999 | 5 | ... | ... | 5 | ... | ... | 40,595 | ... | ... | 10 | ... | ... |
$35,000 to $39,999 | 5 | ... | ... | 5 | ... | ... | 41,545 | ... | ... | 10 | ... | ... |
$40,000 to $44,999 | 5 | ... | ... | 15 | ... | ... | 42,630 | ... | ... | 10 | ... | ... |
$45,000 to $49,999 | 5 | ... | ... | 5 | ... | ... | 40,980 | ... | ... | 10 | ... | ... |
$50,000 to $59,999 | 10 | ... | ... | 15 | ... | ... | 75,485 | ... | ... | 20 | ... | ... |
$60,000 to $69,999 | 10 | ... | ... | 20 | ... | ... | 67,695 | ... | ... | 20 | ... | ... |
$70,000 to $79,999 | 5 | ... | ... | 20 | ... | ... | 60,495 | ... | ... | 15 | ... | ... |
$80,000 to $89,999 | 10 | ... | ... | 20 | ... | ... | 54,055 | ... | ... | 20 | ... | ... |
$90,000 to $99,999 | 10 | ... | ... | 25 | ... | ... | 45,830 | ... | ... | 15 | ... | ... |
$100,000 and over | 85 | ... | ... | 180 | ... | ... | 270,265 | ... | ... | 70 | ... | ... |
$100,000 to $124,999 | 25 | ... | ... | 50 | ... | ... | 85,635 | ... | ... | 35 | ... | ... |
$125,000 to $149,999 | 20 | ... | ... | 35 | ... | ... | 56,205 | ... | ... | 15 | ... | ... |
$150,000 to $199,999 | 25 | ... | ... | 30 | ... | ... | 62,095 | ... | ... | 15 | ... | ... |
$200,000 and over | 10 | ... | ... | 65 | ... | ... | 66,335 | ... | ... | 5 | ... | ... |
Total - Household after-tax income groups in 2020 for private households - 100% data22 | 160 | ... | ... | 315 | ... | ... | 910,355 | ... | ... | 215 | ... | ... |
Under $5,000 | 0 | ... | ... | 0 | ... | ... | 19,710 | ... | ... | 0 | ... | ... |
$5,000 to $9,999 | 0 | ... | ... | 0 | ... | ... | 10,575 | ... | ... | 0 | ... | ... |
$10,000 to $14,999 | 0 | ... | ... | 0 | ... | ... | 17,965 | ... | ... | 0 | ... | ... |
$15,000 to $19,999 | 0 | ... | ... | 0 | ... | ... | 27,485 | ... | ... | 0 | ... | ... |
$20,000 to $24,999 | 5 | ... | ... | 0 | ... | ... | 63,030 | ... | ... | 10 | ... | ... |
$25,000 to $29,999 | 0 | ... | ... | 0 | ... | ... | 49,660 | ... | ... | 10 | ... | ... |
$30,000 to $34,999 | 5 | ... | ... | 5 | ... | ... | 48,815 | ... | ... | 10 | ... | ... |
$35,000 to $39,999 | 10 | ... | ... | 10 | ... | ... | 51,055 | ... | ... | 15 | ... | ... |
$40,000 to $44,999 | 5 | ... | ... | 10 | ... | ... | 50,890 | ... | ... | 10 | ... | ... |
$45,000 to $49,999 | 10 | ... | ... | 10 | ... | ... | 47,120 | ... | ... | 5 | ... | ... |
$50,000 to $59,999 | 10 | ... | ... | 25 | ... | ... | 85,490 | ... | ... | 30 | ... | ... |
$60,000 to $69,999 | 10 | ... | ... | 25 | ... | ... | 75,625 | ... | ... | 20 | ... | ... |
$70,000 to $79,999 | 10 | ... | ... | 25 | ... | ... | 65,530 | ... | ... | 20 | ... | ... |
$80,000 to $89,999 | 10 | ... | ... | 25 | ... | ... | 54,850 | ... | ... | 10 | ... | ... |
$90,000 to $99,999 | 20 | ... | ... | 25 | ... | ... | 45,065 | ... | ... | 20 | ... | ... |
$100,000 and over | 65 | ... | ... | 140 | ... | ... | 197,490 | ... | ... | 45 | ... | ... |
$100,000 to $124,999 | 25 | ... | ... | 40 | ... | ... | 78,870 | ... | ... | 25 | ... | ... |
$125,000 to $149,999 | 20 | ... | ... | 20 | ... | ... | 45,905 | ... | ... | 10 | ... | ... |
$150,000 and over | 15 | ... | ... | 70 | ... | ... | 72,715 | ... | ... | 5 | ... | ... |
Income of economic families in 2020 | ||||||||||||
Total - Income statistics for economic families in private households - 100% data28 | 130 | ... | ... | 260 | ... | ... | 501,830 | ... | ... | 140 | ... | ... |
Median total income of economic family in 2020 ($) | 113,000 | ... | ... | 124,000 | ... | ... | 94,000 | ... | ... | 92,000 | ... | ... |
Median after-tax income of economic family in 2020 ($) | 97,000 | ... | ... | 104,000 | ... | ... | 82,000 | ... | ... | 84,000 | ... | ... |
Average family size of economic families | 3.8 | ... | ... | 3.1 | ... | ... | 3.0 | ... | ... | 3.1 | ... | ... |
Total - Income statistics for couple-only economic families in private households - 100% data | 35 | ... | ... | 90 | ... | ... | 179,195 | ... | ... | 40 | ... | ... |
Median total income of couple-only economic families in 2020 ($) | 57,600 | ... | ... | 97,000 | ... | ... | 88,000 | ... | ... | 65,500 | ... | ... |
Median after-tax income of couple-only economic families in 2020 ($) | 57,200 | ... | ... | 81,000 | ... | ... | 75,000 | ... | ... | 60,400 | ... | ... |
Average family size of couple-only economic families | 2.0 | ... | ... | 2.0 | ... | ... | 2.0 | ... | ... | 2.0 | ... | ... |
Total - Income statistics for couple-with-children economic families in private households - 100% data | 70 | ... | ... | 135 | ... | ... | 208,260 | ... | ... | 55 | ... | ... |
Median total income of couple-with-children economic families in 2020 ($) | 124,000 | ... | ... | 160,000 | ... | ... | 119,000 | ... | ... | 119,000 | ... | ... |
Median after-tax income of couple-with-children economic families in 2020 ($) | 109,000 | ... | ... | 128,000 | ... | ... | 102,000 | ... | ... | 101,000 | ... | ... |
Average family size of couple-with-children economic families | 4.6 | ... | ... | 3.8 | ... | ... | 4.0 | ... | ... | 4.2 | ... | ... |
Total - Income statistics for one-parent economic families in private households - 100% data | 20 | ... | ... | 30 | ... | ... | 95,875 | ... | ... | 40 | ... | ... |
Median total income of one-parent economic families in 2020 ($) | 106,000 | ... | ... | 109,000 | ... | ... | 65,500 | ... | ... | 78,500 | ... | ... |
Median after-tax income of one-parent economic families in 2020 ($) | 92,000 | ... | ... | 85,000 | ... | ... | 59,600 | ... | ... | 72,500 | ... | ... |
Average family size of one-parent economic families | 3.6 | ... | ... | 3.1 | ... | ... | 2.6 | ... | ... | 2.7 | ... | ... |
Total - Income statistics for persons aged 15 years and over not in economic families in private households - 100% data29 | 30 | 20 | 10 | 70 | 25 | 40 | 477,085 | 240,895 | 236,195 | 90 | 50 | 35 |
Median total income in 2020 ($)30 | 42,000 | 42,800 | x | 47,600 | 41,600 | 54,000 | 34,400 | 34,800 | 34,000 | 33,200 | 37,200 | 32,000 |
Median after-tax income in 2020 ($)30 | 40,800 | 42,000 | x | 40,400 | 34,800 | 45,600 | 31,200 | 31,200 | 31,200 | 31,800 | 34,000 | 31,000 |
Total - Income statistics for economic families in private households - 25% sample data31 | 135 | ... | ... | 275 | ... | ... | 501,905 | ... | ... | 135 | ... | ... |
Average total income of economic family in 2020 ($) | 126,000 | ... | ... | 142,000 | ... | ... | 125,000 | ... | ... | 104,000 | ... | ... |
Average after-tax income of economic family in 2020 ($) | 108,000 | ... | ... | 103,000 | ... | ... | 98,700 | ... | ... | 88,000 | ... | ... |
Total - Income statistics for couple-only economic families in private households - 25% sample data | 30 | ... | ... | 100 | ... | ... | 179,455 | ... | ... | 45 | ... | ... |
Average total income of couple-only economic families in 2020 ($) | 80,000 | ... | ... | 160,000 | ... | ... | 116,700 | ... | ... | 84,000 | ... | ... |
Average after-tax income of couple-only economic families in 2020 ($) | 68,000 | ... | ... | 116,000 | ... | ... | 91,000 | ... | ... | 72,000 | ... | ... |
Total - Income statistics for couple-with-children economic families in private households - 25% sample data | 80 | ... | ... | 125 | ... | ... | 208,375 | ... | ... | 50 | ... | ... |
Average total income of couple-with-children economic families in 2020 ($) | 132,000 | ... | ... | 146,000 | ... | ... | 157,200 | ... | ... | 132,000 | ... | ... |
Average after-tax income of couple-with-children economic families in 2020 ($) | 116,000 | ... | ... | 116,000 | ... | ... | 122,300 | ... | ... | 112,000 | ... | ... |
Total - Income statistics for one-parent economic families in private households - 25% sample data | 15 | ... | ... | 40 | ... | ... | 95,455 | ... | ... | 35 | ... | ... |
Average total income of one-parent economic families in 2020 ($) | 160,000 | ... | ... | 95,000 | ... | ... | 78,200 | ... | ... | 76,000 | ... | ... |
Average after-tax income of one-parent economic families in 2020 ($) | 140,000 | ... | ... | 80,000 | ... | ... | 67,100 | ... | ... | 68,000 | ... | ... |
Total - Income statistics for persons aged 15 years and over not in economic families in private households - 25% sample data32 | 30 | 15 | 0 | 55 | 15 | 45 | 476,520 | 240,280 | 236,245 | 75 | 35 | 40 |
Average total income in 2020 ($)30 | 52,000 | 60,000 | x | 54,000 | 80,000 | 46,000 | 45,520 | 46,520 | 44,560 | 38,000 | 40,000 | 38,000 |
Average after-tax income in 2020 ($)30 | 44,000 | 45,000 | x | 44,000 | 60,000 | 37,000 | 37,600 | 37,920 | 37,280 | 34,000 | 34,000 | 34,000 |
Low income and income inequality in 2020 | ||||||||||||
Total - LIM low-income status in 2020 for the population in private households - 100% data33 | 525 | 275 | 250 | 870 | 415 | 455 | 1,959,355 | 965,630 | 993,725 | 535 | 275 | 265 |
0 to 17 years | 125 | 75 | 45 | 175 | 85 | 90 | 365,020 | 186,710 | 178,315 | 115 | 65 | 55 |
0 to 5 years | 35 | 20 | 15 | 35 | 15 | 20 | 120,615 | 61,615 | 58,995 | 40 | 20 | 20 |
18 to 64 years | 330 | 165 | 170 | 515 | 250 | 265 | 1,276,910 | 638,650 | 638,260 | 330 | 170 | 165 |
65 years and over | 70 | 30 | 35 | 180 | 80 | 100 | 317,425 | 140,270 | 177,155 | 85 | 40 | 45 |
In low income based on the Low-income measure, after tax (LIM-AT) | 40 | 20 | 20 | 30 | 15 | 15 | 321,885 | 154,370 | 167,510 | 55 | 30 | 25 |
0 to 17 years | 10 | 5 | 5 | 0 | 0 | 0 | 54,265 | 27,870 | 26,395 | 10 | 5 | 5 |
0 to 5 years | 0 | 0 | 0 | 0 | 0 | 0 | 18,760 | 9,545 | 9,215 | 5 | 5 | 0 |
18 to 64 years | 25 | 15 | 10 | 10 | 10 | 5 | 197,020 | 99,310 | 97,710 | 35 | 20 | 15 |
65 years and over | 15 | 10 | 10 | 15 | 5 | 10 | 70,600 | 27,185 | 43,415 | 10 | 5 | 10 |
Prevalence of low income based on the Low-income measure, after tax (LIM-AT) (%) | 8.4 | 8.5 | 8.0 | 3.4 | 3.6 | 3.2 | 16.4 | 16.0 | 16.9 | 10.4 | 11.0 | 9.0 |
0 to 17 years (%) | 6.0 | x | x | 2.5 | x | x | 14.9 | 14.9 | 14.8 | 8.0 | 10.0 | x |
0 to 5 years (%) | x | x | x | x | x | x | 15.6 | 15.5 | 15.6 | x | x | x |
18 to 64 years (%) | 6.4 | 7.0 | 6.0 | 2.4 | 2.5 | 2.5 | 15.4 | 15.6 | 15.3 | 10.0 | 12.0 | 9.0 |
65 years and over (%) | 24.0 | 20.0 | 25.0 | 8.0 | 8.0 | 8.0 | 22.2 | 19.4 | 24.5 | 14.0 | 16.0 | 12.0 |
Total - LICO low-income status in 2020 for the population in private households to whom the low-income concept is applicable - 100% data33 | 525 | 275 | 250 | 870 | 420 | 450 | 1,959,355 | 965,625 | 993,730 | 535 | 270 | 260 |
0 to 17 years | 120 | 75 | 45 | 180 | 90 | 85 | 365,025 | 186,705 | 178,315 | 120 | 65 | 55 |
0 to 5 years | 40 | 25 | 10 | 30 | 15 | 20 | 120,610 | 61,615 | 58,995 | 45 | 15 | 25 |
18 to 64 years | 335 | 170 | 170 | 510 | 250 | 265 | 1,276,910 | 638,655 | 638,260 | 330 | 170 | 160 |
65 years and over | 65 | 35 | 35 | 180 | 80 | 105 | 317,425 | 140,265 | 177,155 | 90 | 45 | 45 |
In low income based on the Low-income cut-offs, after tax (LICO-AT) | 30 | 15 | 10 | 25 | 10 | 10 | 213,720 | 108,905 | 104,815 | 30 | 10 | 15 |
0 to 17 years | 10 | 5 | 5 | 5 | 5 | 0 | 29,585 | 15,165 | 14,425 | 5 | 5 | 0 |
0 to 5 years | 5 | 5 | 0 | 0 | 0 | 0 | 9,970 | 5,080 | 4,890 | 0 | 0 | 0 |
18 to 64 years | 15 | 10 | 5 | 15 | 10 | 5 | 153,385 | 81,765 | 71,620 | 15 | 10 | 10 |
65 years and over | 0 | 0 | 0 | 5 | 0 | 5 | 30,745 | 11,975 | 18,775 | 5 | 0 | 0 |
Prevalence of low income based on the Low-income cut-offs, after tax (LICO-AT) (%) | 4.8 | 5.0 | 4.5 | 2.8 | 2.8 | 2.8 | 10.9 | 11.3 | 10.6 | 5.2 | 4.5 | 5.0 |
0 to 17 years (%) | 6.0 | x | x | x | x | x | 8.1 | 8.1 | 8.1 | x | x | x |
0 to 5 years (%) | x | x | x | x | x | x | 8.3 | 8.3 | 8.3 | x | x | x |
18 to 64 years (%) | 5.0 | 5.0 | 5.0 | 2.8 | 4.0 | 2.5 | 12.0 | 12.8 | 11.2 | 5.0 | 5.0 | 6.0 |
65 years and over (%) | x | x | x | 4.0 | x | 6.0 | 9.7 | 8.5 | 10.6 | 6.0 | x | 8.0 |
Total - Adjusted after-tax economic family income decile group for the population in private households - 100% data34 | 525 | 275 | 250 | 870 | 415 | 455 | 1,959,355 | 965,630 | 993,730 | 535 | 275 | 260 |
In bottom half of the distribution | 280 | 145 | 130 | 325 | 160 | 170 | 1,196,770 | 581,490 | 615,280 | 375 | 185 | 185 |
In bottom decile | 35 | 20 | 15 | 30 | 10 | 15 | 298,540 | 147,890 | 150,655 | 55 | 30 | 20 |
In second decile | 30 | 15 | 15 | 65 | 30 | 30 | 244,435 | 115,985 | 128,450 | 50 | 20 | 25 |
In third decile | 50 | 20 | 25 | 75 | 40 | 35 | 240,895 | 116,550 | 124,345 | 60 | 30 | 30 |
In fourth decile | 75 | 40 | 35 | 65 | 25 | 35 | 218,125 | 105,885 | 112,240 | 120 | 60 | 60 |
In fifth decile | 90 | 55 | 40 | 105 | 55 | 50 | 194,765 | 95,185 | 99,580 | 100 | 45 | 55 |
In top half of the distribution | 250 | 130 | 120 | 545 | 255 | 285 | 762,590 | 384,140 | 378,450 | 160 | 85 | 75 |
In sixth decile | 70 | 35 | 30 | 90 | 40 | 50 | 172,200 | 85,100 | 87,095 | 40 | 20 | 20 |
In seventh decile | 60 | 30 | 35 | 105 | 45 | 55 | 156,540 | 78,290 | 78,250 | 40 | 25 | 15 |
In eighth decile | 65 | 35 | 35 | 105 | 50 | 50 | 144,120 | 72,600 | 71,525 | 50 | 35 | 20 |
In ninth decile | 30 | 20 | 10 | 95 | 40 | 55 | 134,265 | 68,285 | 65,980 | 15 | 10 | 5 |
In top decile | 20 | 10 | 10 | 160 | 80 | 80 | 155,465 | 79,870 | 75,595 | 15 | 0 | 5 |
Total - Inequality measures for the population in private households - 100% data35 | 525 | ... | ... | 870 | ... | ... | 1,959,355 | ... | ... | 535 | ... | ... |
Gini index on adjusted household total income | 0.237 | ... | ... | 0.418 | ... | ... | 0.398 | ... | ... | 0.241 | ... | ... |
Gini index on adjusted household market income | 0.364 | ... | ... | 0.506 | ... | ... | 0.531 | ... | ... | 0.380 | ... | ... |
Gini index on adjusted household after-tax income | 0.209 | ... | ... | 0.356 | ... | ... | 0.335 | ... | ... | 0.207 | ... | ... |
P90/P10 ratio on adjusted household after-tax income | 2.7 | ... | ... | 3.6 | ... | ... | 4.1 | ... | ... | 2.6 | ... | ... |
Knowledge of official languages | ||||||||||||
Total - Knowledge of official languages for the total population excluding institutional residents - 100% data36 | 525 | 275 | 250 | 870 | 420 | 455 | 1,980,015 | 974,020 | 1,005,995 | 535 | 270 | 260 |
English only | 10 | 5 | 5 | 95 | 45 | 45 | 262,290 | 133,690 | 128,600 | 140 | 70 | 70 |
French only | 255 | 130 | 130 | 80 | 30 | 55 | 486,845 | 221,005 | 265,840 | 65 | 30 | 35 |
English and French | 250 | 140 | 110 | 690 | 340 | 345 | 1,185,020 | 600,985 | 584,040 | 320 | 165 | 155 |
Neither English nor French | 5 | 0 | 0 | 10 | 5 | 5 | 45,860 | 18,340 | 27,520 | 10 | 5 | 0 |
First official language spoken | ||||||||||||
Total - First official language spoken for the total population excluding institutional residents - 100% data37 | 525 | 275 | 250 | 870 | 420 | 455 | 1,980,015 | 974,020 | 1,005,995 | 535 | 270 | 260 |
English | 60 | 35 | 30 | 300 | 155 | 145 | 605,220 | 303,380 | 301,835 | 290 | 150 | 145 |
French | 415 | 215 | 200 | 455 | 210 | 245 | 1,156,585 | 564,525 | 592,065 | 205 | 105 | 100 |
English and French | 40 | 25 | 15 | 110 | 55 | 55 | 173,785 | 88,480 | 85,300 | 30 | 15 | 15 |
Neither English nor French | 5 | 0 | 0 | 10 | 0 | 5 | 44,430 | 17,640 | 26,790 | 5 | 5 | 0 |
Mother tongue | ||||||||||||
Total - Mother tongue for the total population excluding institutional residents - 100% data38 | 525 | 275 | 250 | 870 | 420 | 455 | 1,980,015 | 974,020 | 1,005,995 | 535 | 270 | 260 |
Single responses | 500 | 265 | 235 | 815 | 385 | 430 | 1,836,570 | 902,045 | 934,520 | 500 | 260 | 245 |
Official languages | 320 | 175 | 150 | 530 | 245 | 285 | 1,193,295 | 590,520 | 602,775 | 375 | 200 | 175 |
English | 35 | 20 | 15 | 165 | 80 | 85 | 322,315 | 162,085 | 160,230 | 210 | 110 | 100 |
French | 290 | 150 | 135 | 365 | 165 | 195 | 870,975 | 428,435 | 442,540 | 170 | 90 | 80 |
Non-official languages | 180 | 90 | 90 | 285 | 135 | 145 | 643,275 | 311,525 | 331,750 | 120 | 60 | 65 |
Indigenous languages39 | 0 | 0 | 0 | 0 | 0 | 0 | 455 | 155 | 305 | 0 | 0 | 0 |
Algonquian languages | 0 | 0 | 0 | 0 | 0 | 0 | 225 | 80 | 140 | 0 | 0 | 0 |
Blackfoot | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Cree-Innu languages | 0 | 0 | 0 | 0 | 0 | 0 | 190 | 70 | 125 | 0 | 0 | 0 |
Atikamekw | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 5 | 20 | 0 | 0 | 0 |
Cree languages | 0 | 0 | 0 | 0 | 0 | 0 | 125 | 50 | 75 | 0 | 0 | 0 |
Ililimowin (Moose Cree) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Inu Ayimun (Southern East Cree) | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 0 | 0 | 0 |
Iyiyiw-Ayimiwin (Northern East Cree) | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 25 | 30 | 0 | 0 | 0 |
Nehinawewin (Swampy Cree) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Nehiyawewin (Plains Cree) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Nihithawiwin (Woods Cree) | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 0 | 0 | 0 |
Cree, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 65 | 20 | 40 | 0 | 0 | 0 |
Innu (Montagnais) | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 10 | 20 | 0 | 0 | 0 |
Naskapi | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 0 | 0 | 0 |
Eastern Algonquian languages | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 5 | 0 | 0 | 0 |
Mi'kmaq | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 10 | 0 | 0 | 0 |
Wolastoqewi (Malecite) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Ojibway-Potawatomi languages | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 10 | 10 | 0 | 0 | 0 |
Anicinabemowin (Algonquin) | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 10 | 0 | 0 | 0 |
Oji-Cree | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Ojibway languages | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 0 | 0 | 0 |
Anishinaabemowin (Chippewa) | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 |
Daawaamwin (Odawa) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Saulteau (Western Ojibway) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Ojibway, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 |
Algonquian languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Athabaskan languages | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 0 | 0 | 0 |
Northern Athabaskan languages | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 0 | 0 | 0 |
Dakelh (Carrier) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Dane-zaa (Beaver) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Dene, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Gwich'in | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Slavey-Hare languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Deh Gah Ghotie Zhatie (South Slavey) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Satuotine Yati (North Slavey) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Slavey, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tahltan languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Kaska (Nahani) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tahltan | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tlicho (Dogrib) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tse'khene (Sekani) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tsilhqot'in (Chilcotin) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tsuu T'ina (Sarsi) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tutchone languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Northern Tutchone | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Southern Tutchone | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tutchone, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Wetsuwet'en-Babine | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tlingit | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Athabaskan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Haida | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Inuktut (Inuit) languages | 0 | 0 | 0 | 0 | 0 | 0 | 185 | 45 | 145 | 0 | 0 | 0 |
Inuinnaqtun (Inuvialuktun) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Inuinnaqtun | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Inuvialuktun | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Inuktitut | 0 | 0 | 0 | 0 | 0 | 0 | 185 | 45 | 140 | 0 | 0 | 0 |
Inuktut (Inuit) languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Iroquoian languages | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 20 | 20 | 0 | 0 | 0 |
Cayuga | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Mohawk | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 20 | 20 | 0 | 0 | 0 |
Oneida | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Iroquoian languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Ktunaxa (Kutenai) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Michif | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Salish languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Halkomelem | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Lillooet | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Ntlakapamux (Thompson) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Secwepemctsin (Shuswap) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Squamish | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Straits | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Syilx (Okanagan) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Salish languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Siouan languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Assiniboine | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Dakota | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Stoney | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Siouan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tsimshian languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Gitxsan (Gitksan) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Nisga'a | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tsimshian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Wakashan languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Haisla | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Heiltsuk | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Kwak'wala (Kwakiutl) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Nuu-chah-nulth (Nootka) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Wakashan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Indigenous languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Indigenous languages, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Non-Indigenous languages | 180 | 90 | 90 | 285 | 135 | 145 | 642,820 | 311,370 | 331,445 | 120 | 60 | 65 |
Afro-Asiatic languages | 10 | 10 | 5 | 55 | 25 | 25 | 129,195 | 68,395 | 60,805 | 5 | 0 | 5 |
Berber languages | 5 | 5 | 5 | 0 | 0 | 0 | 15,675 | 8,420 | 7,250 | 0 | 0 | 0 |
Kabyle | 5 | 5 | 5 | 0 | 0 | 0 | 14,510 | 7,750 | 6,760 | 0 | 0 | 0 |
Tamazight | 0 | 0 | 0 | 0 | 0 | 0 | 1,005 | 580 | 425 | 0 | 0 | 0 |
Berber languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 155 | 90 | 70 | 0 | 0 | 0 |
Chadic languages | 0 | 0 | 0 | 0 | 0 | 0 | 360 | 190 | 170 | 0 | 0 | 0 |
Hausa | 0 | 0 | 0 | 0 | 0 | 0 | 185 | 105 | 75 | 0 | 0 | 0 |
Mina | 0 | 0 | 0 | 0 | 0 | 0 | 175 | 85 | 95 | 0 | 0 | 0 |
Coptic | 0 | 0 | 0 | 0 | 0 | 0 | 190 | 100 | 85 | 0 | 0 | 0 |
Cushitic languages | 0 | 0 | 0 | 0 | 0 | 0 | 780 | 365 | 410 | 0 | 0 | 0 |
Bilen | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 10 | 10 | 0 | 0 | 0 |
Oromo | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Somali | 0 | 0 | 0 | 0 | 0 | 0 | 750 | 350 | 400 | 0 | 0 | 0 |
Cushitic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 5 | 5 | 0 | 0 | 0 |
Semitic languages | 5 | 0 | 0 | 50 | 25 | 25 | 112,200 | 59,320 | 52,880 | 0 | 0 | 0 |
Amharic | 0 | 0 | 0 | 0 | 0 | 0 | 565 | 265 | 300 | 0 | 0 | 0 |
Arabic | 5 | 0 | 0 | 50 | 25 | 25 | 107,605 | 56,960 | 50,645 | 0 | 0 | 0 |
Aramaic languages | 0 | 0 | 0 | 0 | 0 | 0 | 135 | 60 | 75 | 0 | 0 | 0 |
Assyrian Neo-Aramaic | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 20 | 30 | 0 | 0 | 0 |
Chaldean Neo-Aramaic | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 0 | 0 | 0 |
Aramaic, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 75 | 35 | 40 | 0 | 0 | 0 |
Harari | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 0 | 0 | 0 |
Hebrew | 0 | 0 | 0 | 0 | 0 | 0 | 3,145 | 1,650 | 1,495 | 0 | 0 | 0 |
Maltese | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 0 | 0 | 0 |
Tigrigna | 0 | 0 | 0 | 0 | 0 | 0 | 710 | 360 | 345 | 0 | 0 | 0 |
Semitic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 10 | 15 | 0 | 0 | 0 |
Austro-Asiatic languages | 0 | 0 | 0 | 10 | 0 | 5 | 24,640 | 11,340 | 13,300 | 0 | 0 | 0 |
Khmer (Cambodian) | 0 | 0 | 0 | 0 | 0 | 0 | 4,695 | 2,135 | 2,560 | 0 | 0 | 0 |
Vietnamese | 0 | 0 | 0 | 10 | 0 | 5 | 19,905 | 9,185 | 10,725 | 0 | 0 | 0 |
Austro-Asiatic languages, n.i.e | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 20 | 20 | 0 | 0 | 0 |
Austronesian languages | 0 | 0 | 0 | 0 | 0 | 0 | 18,505 | 7,175 | 11,330 | 0 | 0 | 0 |
Bikol | 0 | 0 | 0 | 0 | 0 | 0 | 115 | 50 | 70 | 0 | 0 | 0 |
Bisaya, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 350 | 140 | 210 | 0 | 0 | 0 |
Cebuano | 0 | 0 | 0 | 0 | 0 | 0 | 765 | 295 | 470 | 0 | 0 | 0 |
Fijian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Hiligaynon | 0 | 0 | 0 | 0 | 0 | 0 | 475 | 170 | 305 | 0 | 0 | 0 |
Ilocano | 0 | 0 | 0 | 0 | 0 | 0 | 1,890 | 765 | 1,130 | 0 | 0 | 0 |
Indonesian | 0 | 0 | 0 | 0 | 0 | 0 | 450 | 185 | 265 | 0 | 0 | 0 |
Kankanaey | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 10 | 10 | 0 | 0 | 0 |
Kinaray-a | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 10 | 15 | 0 | 0 | 0 |
Malagasy languages | 0 | 0 | 0 | 0 | 0 | 0 | 435 | 195 | 235 | 0 | 0 | 0 |
Merina | 0 | 0 | 0 | 0 | 0 | 0 | 290 | 125 | 165 | 0 | 0 | 0 |
Malagasy, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 150 | 70 | 75 | 0 | 0 | 0 |
Malay | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 20 | 30 | 0 | 0 | 0 |
Pampangan (Kapampangan, Pampango) | 0 | 0 | 0 | 0 | 0 | 0 | 195 | 85 | 110 | 0 | 0 | 0 |
Pangasinan | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 45 | 55 | 0 | 0 | 0 |
Tagalog (Pilipino, Filipino) | 0 | 0 | 0 | 0 | 0 | 0 | 13,350 | 5,085 | 8,265 | 0 | 0 | 0 |
Waray-Waray | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 20 | 30 | 0 | 0 | 0 |
Austronesian languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 240 | 115 | 130 | 0 | 0 | 0 |
Creole languages | 65 | 35 | 35 | 5 | 5 | 5 | 37,690 | 16,985 | 20,705 | 5 | 0 | 0 |
Haitian Creole | 45 | 20 | 25 | 10 | 5 | 5 | 27,565 | 12,185 | 15,375 | 5 | 0 | 0 |
Jamaican English Creole | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 10 | 0 | 0 | 0 |
Krio | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 5 | 0 | 0 | 0 |
Morisyen | 0 | 0 | 0 | 0 | 0 | 0 | 1,070 | 525 | 545 | 0 | 0 | 0 |
Sango | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 30 | 20 | 0 | 0 | 0 |
Creole, n.o.s. | 20 | 15 | 10 | 0 | 0 | 0 | 8,705 | 4,110 | 4,595 | 0 | 0 | 0 |
Creole languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 275 | 125 | 150 | 0 | 0 | 0 |
Dravidian languages | 0 | 0 | 0 | 0 | 0 | 0 | 13,620 | 7,090 | 6,525 | 0 | 0 | 0 |
Kannada | 0 | 0 | 0 | 0 | 0 | 0 | 285 | 170 | 115 | 0 | 0 | 0 |
Malayalam | 0 | 0 | 0 | 0 | 0 | 0 | 1,470 | 780 | 685 | 0 | 0 | 0 |
Tamil | 0 | 0 | 0 | 0 | 0 | 0 | 10,370 | 5,155 | 5,215 | 0 | 0 | 0 |
Telugu | 0 | 0 | 0 | 0 | 0 | 0 | 1,465 | 975 | 485 | 0 | 0 | 0 |
Tulu | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 10 | 10 | 0 | 0 | 0 |
Dravidian languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 10 | 0 | 0 | 0 |
Georgian | 0 | 0 | 0 | 0 | 0 | 0 | 125 | 60 | 70 | 0 | 0 | 0 |
Hmong-Mien languages | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 0 | 0 | 0 |
Indo-European languages | 85 | 45 | 40 | 200 | 95 | 105 | 329,415 | 158,980 | 170,435 | 85 | 40 | 40 |
Albanian | 0 | 0 | 0 | 0 | 0 | 0 | 1,935 | 955 | 975 | 0 | 0 | 0 |
Armenian | 0 | 0 | 0 | 40 | 20 | 25 | 6,520 | 3,105 | 3,420 | 0 | 0 | 0 |
Balto-Slavic languages | 0 | 0 | 0 | 65 | 30 | 35 | 37,235 | 16,405 | 20,835 | 5 | 5 | 0 |
Baltic languages | 0 | 0 | 0 | 0 | 0 | 0 | 430 | 160 | 275 | 0 | 0 | 0 |
Latvian | 0 | 0 | 0 | 0 | 0 | 0 | 150 | 60 | 85 | 0 | 0 | 0 |
Lithuanian | 0 | 0 | 0 | 0 | 0 | 0 | 285 | 95 | 185 | 0 | 0 | 0 |
Slavic languages | 0 | 0 | 0 | 60 | 30 | 35 | 36,800 | 16,245 | 20,555 | 5 | 5 | 0 |
Belarusian | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 20 | 20 | 0 | 0 | 0 |
Bulgarian | 0 | 0 | 0 | 20 | 5 | 10 | 3,670 | 1,715 | 1,950 | 0 | 0 | 0 |
Czech | 0 | 0 | 0 | 5 | 0 | 5 | 750 | 340 | 415 | 0 | 0 | 0 |
Macedonian | 0 | 0 | 0 | 0 | 0 | 0 | 115 | 50 | 60 | 0 | 0 | 0 |
Polish | 0 | 0 | 0 | 5 | 5 | 5 | 7,520 | 3,215 | 4,300 | 0 | 0 | 0 |
Russian | 0 | 0 | 0 | 25 | 10 | 15 | 17,695 | 7,755 | 9,935 | 0 | 0 | 0 |
Rusyn | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 0 | 0 | 0 |
Serbo-Croatian | 0 | 0 | 0 | 0 | 0 | 0 | 3,130 | 1,515 | 1,615 | 0 | 0 | 0 |
Bosnian | 0 | 0 | 0 | 0 | 0 | 0 | 385 | 185 | 200 | 0 | 0 | 0 |
Croatian | 0 | 0 | 0 | 0 | 0 | 0 | 1,095 | 520 | 575 | 0 | 0 | 0 |
Serbian | 0 | 0 | 0 | 0 | 0 | 0 | 1,570 | 765 | 800 | 0 | 0 | 0 |
Serbo-Croatian, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 85 | 35 | 45 | 0 | 0 | 0 |
Slovak | 0 | 0 | 0 | 0 | 0 | 0 | 495 | 190 | 305 | 0 | 0 | 0 |
Slovene (Slovenian) | 0 | 0 | 0 | 0 | 0 | 0 | 315 | 130 | 180 | 0 | 0 | 0 |
Ukrainian | 0 | 0 | 0 | 0 | 0 | 0 | 3,045 | 1,290 | 1,755 | 0 | 0 | 0 |
Slavic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 10 | 15 | 0 | 0 | 0 |
Celtic languages | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 40 | 20 | 0 | 0 | 0 |
Irish | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 0 | 0 | 0 | 0 |
Scottish Gaelic | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 0 | 0 | 0 | 0 |
Welsh | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 10 | 10 | 0 | 0 | 0 |
Celtic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 5 | 0 | 0 | 0 |
Germanic languages | 0 | 0 | 0 | 15 | 5 | 5 | 14,215 | 6,910 | 7,305 | 0 | 0 | 0 |
Frisian | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 0 | 0 | 0 |
High German languages | 0 | 0 | 0 | 10 | 5 | 5 | 12,245 | 5,930 | 6,315 | 0 | 0 | 0 |
German | 0 | 0 | 0 | 10 | 5 | 5 | 4,995 | 2,220 | 2,770 | 0 | 0 | 0 |
Pennsylvania German | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Swiss German | 0 | 0 | 0 | 0 | 0 | 0 | 310 | 160 | 145 | 0 | 0 | 0 |
Yiddish | 0 | 0 | 0 | 0 | 0 | 0 | 6,945 | 3,545 | 3,395 | 0 | 0 | 0 |
Low Saxon-Low Franconian languages | 0 | 0 | 0 | 0 | 0 | 0 | 1,265 | 635 | 635 | 0 | 0 | 0 |
Afrikaans | 0 | 0 | 0 | 0 | 0 | 0 | 90 | 50 | 45 | 0 | 0 | 0 |
Dutch | 0 | 0 | 0 | 0 | 0 | 0 | 1,065 | 545 | 520 | 0 | 0 | 0 |
Low German, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Low Saxon | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 |
Plautdietsch | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 0 | 0 | 0 |
Vlaams (Flemish) | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 40 | 65 | 0 | 0 | 0 |
Scandinavian languages | 0 | 0 | 0 | 0 | 0 | 0 | 655 | 320 | 330 | 0 | 0 | 0 |
Danish | 0 | 0 | 0 | 0 | 0 | 0 | 190 | 85 | 105 | 0 | 0 | 0 |
Icelandic | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 20 | 20 | 0 | 0 | 0 |
Norwegian | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 60 | 55 | 0 | 0 | 0 |
Swedish | 0 | 0 | 0 | 0 | 0 | 0 | 305 | 155 | 150 | 0 | 0 | 0 |
Germanic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 20 | 30 | 0 | 0 | 0 |
Greek | 0 | 0 | 0 | 15 | 10 | 5 | 17,080 | 8,125 | 8,955 | 5 | 5 | 0 |
Indo-Iranian languages | 0 | 0 | 0 | 15 | 10 | 10 | 68,600 | 36,145 | 32,455 | 35 | 15 | 15 |
Indo-Aryan languages | 0 | 0 | 0 | 10 | 10 | 5 | 48,035 | 25,870 | 22,165 | 35 | 15 | 15 |
Assamese | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 10 | 10 | 0 | 0 | 0 |
Bengali | 0 | 0 | 0 | 0 | 0 | 0 | 10,220 | 5,260 | 4,960 | 0 | 0 | 0 |
Gujarati | 0 | 0 | 0 | 0 | 0 | 0 | 5,940 | 3,100 | 2,840 | 0 | 0 | 0 |
Hindi | 0 | 0 | 0 | 0 | 0 | 0 | 4,270 | 2,465 | 1,800 | 0 | 0 | 0 |
Kacchi | 0 | 0 | 0 | 0 | 0 | 0 | 120 | 55 | 65 | 0 | 0 | 0 |
Kashmiri | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 20 | 10 | 0 | 0 | 0 |
Konkani | 0 | 0 | 0 | 0 | 0 | 0 | 65 | 35 | 30 | 0 | 0 | 0 |
Marathi | 0 | 0 | 0 | 0 | 0 | 0 | 400 | 225 | 175 | 0 | 0 | 0 |
Nepali | 0 | 0 | 0 | 0 | 0 | 0 | 370 | 190 | 175 | 0 | 0 | 0 |
Oriya languages | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 25 | 25 | 0 | 0 | 0 |
Odia | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 15 | 10 | 0 | 0 | 0 |
Oriya, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 10 | 5 | 0 | 0 | 0 |
Punjabi (Panjabi) | 0 | 0 | 0 | 0 | 0 | 0 | 18,260 | 10,100 | 8,160 | 25 | 10 | 15 |
Rohingya | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Sindhi | 0 | 0 | 0 | 0 | 0 | 0 | 75 | 40 | 30 | 0 | 0 | 0 |
Sinhala (Sinhalese) | 0 | 0 | 0 | 0 | 0 | 0 | 475 | 245 | 230 | 0 | 0 | 0 |
Urdu | 0 | 0 | 0 | 10 | 10 | 5 | 7,550 | 3,975 | 3,575 | 0 | 0 | 0 |
Indo-Aryan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 195 | 110 | 85 | 0 | 0 | 0 |
Iranian languages | 0 | 0 | 0 | 10 | 0 | 5 | 20,550 | 10,275 | 10,275 | 0 | 0 | 0 |
Baluchi | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 0 | 0 | 0 |
Kurdish | 0 | 0 | 0 | 0 | 0 | 0 | 475 | 265 | 205 | 0 | 0 | 0 |
Parsi | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 25 | 15 | 0 | 0 | 0 |
Pashto | 0 | 0 | 0 | 0 | 0 | 0 | 1,020 | 545 | 470 | 0 | 0 | 0 |
Persian languages | 0 | 0 | 0 | 10 | 0 | 5 | 18,950 | 9,395 | 9,555 | 0 | 0 | 0 |
Dari | 0 | 0 | 0 | 0 | 0 | 0 | 1,245 | 605 | 640 | 0 | 0 | 0 |
Iranian Persian | 0 | 0 | 0 | 5 | 0 | 5 | 16,025 | 7,945 | 8,080 | 0 | 0 | 0 |
Persian (Farsi), n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 1,680 | 845 | 830 | 0 | 0 | 0 |
Iranian languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 70 | 35 | 35 | 0 | 0 | 0 |
Indo-Iranian languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 5 | 15 | 0 | 0 | 0 |
Italic (Romance) languages | 80 | 40 | 40 | 55 | 30 | 25 | 183,755 | 87,295 | 96,460 | 45 | 20 | 20 |
Catalan | 0 | 0 | 0 | 0 | 0 | 0 | 210 | 100 | 105 | 0 | 0 | 0 |
Italian | 20 | 15 | 10 | 15 | 5 | 5 | 63,560 | 29,680 | 33,880 | 30 | 10 | 15 |
Portuguese | 0 | 0 | 0 | 5 | 5 | 0 | 19,465 | 9,245 | 10,215 | 5 | 5 | 0 |
Romanian | 10 | 5 | 5 | 25 | 10 | 10 | 15,020 | 7,070 | 7,945 | 0 | 0 | 0 |
Spanish | 55 | 20 | 30 | 10 | 5 | 10 | 85,395 | 41,150 | 44,250 | 10 | 0 | 5 |
Italic (Romance) languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 50 | 55 | 0 | 0 | 0 |
Indo-European languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 10 | 10 | 0 | 0 | 0 |
Japanese | 0 | 0 | 0 | 0 | 0 | 0 | 1,855 | 570 | 1,290 | 0 | 0 | 0 |
Korean | 0 | 0 | 0 | 0 | 0 | 0 | 5,025 | 2,180 | 2,845 | 0 | 0 | 0 |
Mongolian | 0 | 0 | 0 | 0 | 0 | 0 | 180 | 75 | 110 | 0 | 0 | 0 |
Niger-Congo languages | 10 | 5 | 10 | 0 | 0 | 0 | 13,775 | 6,870 | 6,905 | 10 | 5 | 5 |
Akan (Twi) | 0 | 0 | 0 | 0 | 0 | 0 | 690 | 340 | 350 | 0 | 0 | 0 |
Bamanankan | 0 | 0 | 0 | 0 | 0 | 0 | 690 | 365 | 320 | 0 | 0 | 0 |
Edo | 0 | 0 | 0 | 0 | 0 | 0 | 65 | 25 | 40 | 0 | 0 | 0 |
Éwé | 0 | 0 | 0 | 0 | 0 | 0 | 345 | 195 | 155 | 0 | 5 | 0 |
Fulah (Pular, Pulaar, Fulfulde) | 0 | 0 | 0 | 0 | 0 | 0 | 1,270 | 650 | 620 | 0 | 0 | 0 |
Ga | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 35 | 25 | 0 | 0 | 0 |
Ganda | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 10 | 15 | 0 | 0 | 0 |
Gikuyu | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 5 | 0 | 0 | 0 |
Igbo | 0 | 0 | 0 | 0 | 0 | 0 | 105 | 65 | 40 | 0 | 0 | 0 |
Kinyarwanda (Rwanda) | 0 | 0 | 0 | 0 | 0 | 0 | 1,150 | 515 | 630 | 0 | 0 | 0 |
Lingala | 0 | 0 | 0 | 0 | 0 | 0 | 1,715 | 770 | 945 | 0 | 0 | 0 |
Luba-Kasai | 0 | 0 | 0 | 0 | 0 | 0 | 140 | 65 | 80 | 0 | 0 | 0 |
Mòoré | 0 | 0 | 0 | 0 | 0 | 0 | 160 | 85 | 75 | 0 | 0 | 0 |
Mwani | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 10 | 10 | 0 | 0 | 0 |
Ndebele | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 15 | 15 | 0 | 0 | 0 |
Rundi (Kirundi) | 0 | 0 | 0 | 0 | 0 | 0 | 1,355 | 615 | 740 | 0 | 0 | 0 |
Shona | 0 | 0 | 0 | 0 | 0 | 0 | 85 | 45 | 45 | 0 | 0 | 0 |
Soninke | 0 | 0 | 0 | 0 | 0 | 0 | 205 | 135 | 70 | 0 | 0 | 0 |
Sotho-Tswana languages | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 10 | 0 | 0 | 0 |
Swahili | 0 | 0 | 0 | 0 | 0 | 0 | 815 | 395 | 415 | 0 | 0 | 0 |
Wojenaka | 0 | 0 | 0 | 0 | 0 | 0 | 485 | 225 | 255 | 0 | 0 | 0 |
Wolof | 0 | 0 | 0 | 0 | 0 | 0 | 1,545 | 830 | 720 | 0 | 0 | 0 |
Yoruba | 0 | 0 | 0 | 0 | 0 | 0 | 660 | 350 | 315 | 0 | 0 | 0 |
Niger-Congo languages, n.i.e. | 5 | 0 | 5 | 0 | 0 | 0 | 2,125 | 1,105 | 1,020 | 0 | 0 | 0 |
Nilo-Saharan languages | 0 | 0 | 0 | 0 | 0 | 0 | 360 | 200 | 165 | 0 | 0 | 0 |
Dinka | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 5 | 0 | 0 | 0 |
Nuer | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Nilo-Saharan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 285 | 160 | 130 | 0 | 0 | 0 |
African, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 65 | 40 | 30 | 0 | 0 | 0 |
Sign languages | 0 | 0 | 0 | 0 | 0 | 0 | 310 | 160 | 150 | 0 | 0 | 0 |
American Sign Language | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 35 | 30 | 0 | 0 | 0 |
Quebec Sign Language | 0 | 0 | 0 | 0 | 0 | 0 | 190 | 90 | 95 | 0 | 0 | 0 |
Sign languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 65 | 35 | 30 | 0 | 0 | 0 |
Sino-Tibetan languages | 0 | 0 | 0 | 5 | 5 | 5 | 57,075 | 26,030 | 31,035 | 10 | 5 | 0 |
Chinese languages | 0 | 0 | 0 | 5 | 5 | 5 | 56,890 | 25,955 | 30,935 | 10 | 5 | 0 |
Hakka | 0 | 0 | 0 | 0 | 0 | 0 | 265 | 105 | 155 | 0 | 0 | 0 |
Mandarin | 0 | 0 | 0 | 5 | 5 | 5 | 37,985 | 17,270 | 20,715 | 5 | 0 | 0 |
Min Dong | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 10 | 10 | 0 | 0 | 0 |
Min Nan (Chaochow, Teochow, Fukien, Taiwanese) | 0 | 0 | 0 | 0 | 0 | 0 | 1,895 | 830 | 1,065 | 0 | 0 | 0 |
Wu (Shanghainese) | 0 | 0 | 0 | 0 | 0 | 0 | 545 | 250 | 295 | 0 | 0 | 0 |
Yue (Cantonese) | 0 | 0 | 0 | 0 | 0 | 0 | 15,185 | 6,995 | 8,195 | 0 | 0 | 0 |
Chinese, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 940 | 470 | 470 | 0 | 0 | 0 |
Chinese languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 25 | 25 | 0 | 0 | 0 |
Tibeto-Burman languages | 0 | 0 | 0 | 0 | 0 | 0 | 140 | 55 | 80 | 0 | 0 | 0 |
Burmese | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 15 | 45 | 0 | 0 | 0 |
Kuki-Chin languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Karenic languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
S'gaw Karen | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Karenic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tibetan | 0 | 0 | 0 | 0 | 0 | 0 | 65 | 35 | 35 | 0 | 0 | 0 |
Tibeto-Burman languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 5 | 0 | 0 | 0 |
Sino-Tibetan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 20 | 25 | 0 | 0 | 0 |
Tai-Kadai languages | 0 | 0 | 0 | 5 | 5 | 0 | 1,770 | 755 | 1,010 | 0 | 0 | 0 |
Lao | 0 | 0 | 0 | 5 | 5 | 0 | 1,320 | 635 | 690 | 0 | 0 | 0 |
Thai | 0 | 0 | 0 | 0 | 0 | 0 | 430 | 115 | 315 | 0 | 0 | 0 |
Tai-Kadai languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 5 | 10 | 0 | 0 | 0 |
Turkic languages | 0 | 0 | 0 | 0 | 0 | 0 | 5,945 | 3,030 | 2,910 | 0 | 0 | 0 |
Azerbaijani | 0 | 0 | 0 | 0 | 0 | 0 | 285 | 175 | 105 | 0 | 0 | 0 |
Kazakh | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 15 | 15 | 0 | 0 | 0 |
Turkish | 0 | 0 | 0 | 0 | 0 | 0 | 5,300 | 2,685 | 2,615 | 0 | 0 | 0 |
Uyghur | 0 | 0 | 0 | 0 | 0 | 0 | 145 | 70 | 75 | 0 | 0 | 0 |
Uzbek | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 40 | 40 | 0 | 0 | 0 |
Turkic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 105 | 40 | 65 | 0 | 0 | 0 |
Uralic languages | 0 | 0 | 0 | 0 | 0 | 0 | 3,230 | 1,420 | 1,810 | 0 | 0 | 0 |
Estonian | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 40 | 65 | 0 | 0 | 0 |
Finnish | 0 | 0 | 0 | 0 | 0 | 0 | 175 | 65 | 110 | 0 | 0 | 0 |
Hungarian | 0 | 0 | 0 | 0 | 0 | 0 | 2,940 | 1,310 | 1,625 | 0 | 0 | 0 |
Other languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 95 | 45 | 45 | 0 | 0 | 0 |
Multiple responses | 25 | 10 | 15 | 60 | 35 | 25 | 143,450 | 71,980 | 71,470 | 35 | 15 | 20 |
English and French | 0 | 0 | 0 | 25 | 15 | 5 | 42,695 | 21,750 | 20,940 | 20 | 10 | 15 |
English and non-official language(s) | 10 | 5 | 5 | 10 | 5 | 0 | 32,265 | 15,955 | 16,310 | 15 | 10 | 0 |
French and non-official language(s) | 10 | 5 | 5 | 10 | 5 | 5 | 47,185 | 23,615 | 23,570 | 0 | 0 | 0 |
English, French and non-official language(s) | 0 | 0 | 0 | 10 | 5 | 5 | 15,685 | 8,025 | 7,655 | 5 | 0 | 0 |
Multiple non-official languages | 0 | 0 | 0 | 0 | 0 | 0 | 5,625 | 2,630 | 3,000 | 0 | 0 | 0 |
All languages spoken at home | ||||||||||||
Total - All languages spoken at home for the total population excluding institutional residents - 100% data40 | 525 | 275 | 250 | 870 | 420 | 455 | 1,980,015 | 974,020 | 1,005,995 | 535 | 270 | 260 |
English | 50 | 25 | 25 | 175 | 90 | 90 | 340,470 | 170,050 | 170,425 | 225 | 115 | 110 |
French | 230 | 120 | 105 | 300 | 140 | 160 | 779,125 | 383,000 | 396,125 | 150 | 75 | 70 |
Non-official language | 40 | 20 | 20 | 75 | 30 | 35 | 204,395 | 96,705 | 107,690 | 35 | 15 | 20 |
Indigenous39 | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 30 | 50 | 0 | 0 | 0 |
Non-Indigenous | 40 | 20 | 20 | 75 | 30 | 35 | 204,315 | 96,670 | 107,645 | 35 | 15 | 20 |
English and French | 10 | 10 | 5 | 80 | 35 | 45 | 173,135 | 89,205 | 83,935 | 45 | 20 | 25 |
English and non-official language(s) | 15 | 5 | 5 | 45 | 25 | 20 | 135,390 | 66,995 | 68,400 | 40 | 20 | 20 |
French and non-official language(s) | 135 | 70 | 65 | 50 | 20 | 30 | 180,900 | 85,935 | 94,965 | 20 | 10 | 10 |
English, French and non-official language(s) | 45 | 20 | 25 | 150 | 70 | 75 | 154,470 | 76,450 | 78,020 | 20 | 15 | 5 |
Multiple non-official languages | 0 | 0 | 0 | 0 | 0 | 0 | 12,130 | 5,690 | 6,435 | 10 | 5 | 0 |
Language spoken most often at home | ||||||||||||
Total - Language spoken most often at home for the total population excluding institutional residents - 100% data41 | 525 | 275 | 250 | 870 | 420 | 455 | 1,980,015 | 974,020 | 1,005,995 | 535 | 270 | 260 |
Single responses | 455 | 240 | 220 | 800 | 390 | 420 | 1,806,270 | 888,385 | 917,885 | 520 | 265 | 255 |
Official languages | 375 | 195 | 180 | 645 | 310 | 335 | 1,435,980 | 710,425 | 725,555 | 450 | 230 | 220 |
English | 60 | 35 | 30 | 270 | 135 | 135 | 479,850 | 239,270 | 240,580 | 265 | 140 | 130 |
French | 315 | 165 | 150 | 375 | 180 | 200 | 956,130 | 471,155 | 484,975 | 185 | 95 | 90 |
Non-official languages | 85 | 45 | 40 | 160 | 75 | 80 | 370,290 | 177,955 | 192,335 | 65 | 35 | 35 |
Indigenous languages39 | 0 | 0 | 0 | 0 | 0 | 0 | 160 | 65 | 100 | 0 | 0 | 0 |
Algonquian languages | 0 | 0 | 0 | 0 | 0 | 0 | 95 | 45 | 50 | 0 | 0 | 0 |
Blackfoot | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Cree-Innu languages | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 35 | 50 | 0 | 0 | 0 |
Atikamekw | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 5 | 0 | 0 | 0 |
Cree languages | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 25 | 30 | 0 | 0 | 0 |
Ililimowin (Moose Cree) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Inu Ayimun (Southern East Cree) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Iyiyiw-Ayimiwin (Northern East Cree) | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 15 | 10 | 0 | 0 | 0 |
Nehinawewin (Swampy Cree) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Nehiyawewin (Plains Cree) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Nihithawiwin (Woods Cree) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Cree, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 10 | 15 | 0 | 0 | 0 |
Innu (Montagnais) | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 10 | 10 | 0 | 0 | 0 |
Naskapi | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Eastern Algonquian languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Mi'kmaq | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Wolastoqewi (Malecite) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Ojibway-Potawatomi languages | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 0 | 0 | 0 |
Anicinabemowin (Algonquin) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Oji-Cree | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 0 | 0 | 0 |
Ojibway languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Anishinaabemowin (Chippewa) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Daawaamwin (Odawa) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Saulteau (Western Ojibway) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Ojibway, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Algonquian languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Athabaskan languages | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 |
Northern Athabaskan languages | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 |
Dakelh (Carrier) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Dane-zaa (Beaver) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Dene, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Gwich'in | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Slavey-Hare languages | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 |
Deh Gah Ghotie Zhatie (South Slavey) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Satuotine Yati (North Slavey) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Slavey, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 |
Tahltan languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Kaska (Nahani) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tahltan | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tlicho (Dogrib) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tse'khene (Sekani) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tsilhqot'in (Chilcotin) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tsuu T'ina (Sarsi) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tutchone languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Northern Tutchone | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Southern Tutchone | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tutchone, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Wetsuwet'en-Babine | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tlingit | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Athabaskan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Haida | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Inuktut (Inuit) languages | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 10 | 45 | 0 | 0 | 0 |
Inuinnaqtun (Inuvialuktun) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Inuinnaqtun | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Inuvialuktun | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Inuktitut | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 10 | 45 | 0 | 0 | 0 |
Inuktut (Inuit) languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Iroquoian languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Cayuga | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Mohawk | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Oneida | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Iroquoian languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Ktunaxa (Kutenai) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Michif | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Salish languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Halkomelem | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Lillooet | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Ntlakapamux (Thompson) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Secwepemctsin (Shuswap) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Squamish | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Straits | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Syilx (Okanagan) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Salish languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Siouan languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Assiniboine | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Dakota | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Stoney | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Siouan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tsimshian languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Gitxsan (Gitksan) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Nisga'a | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tsimshian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Wakashan languages | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 0 | 0 | 0 |
Haisla | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Heiltsuk | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Kwak'wala (Kwakiutl) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Nuu-chah-nulth (Nootka) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Wakashan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Indigenous languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Indigenous languages, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Non-Indigenous languages | 85 | 45 | 40 | 160 | 75 | 80 | 370,125 | 177,895 | 192,235 | 65 | 35 | 35 |
Afro-Asiatic languages | 0 | 0 | 0 | 35 | 15 | 10 | 66,095 | 34,080 | 32,015 | 0 | 0 | 0 |
Berber languages | 0 | 0 | 0 | 0 | 0 | 0 | 6,870 | 3,680 | 3,190 | 0 | 0 | 0 |
Kabyle | 0 | 0 | 0 | 0 | 0 | 0 | 6,385 | 3,420 | 2,965 | 0 | 0 | 0 |
Tamazight | 0 | 0 | 0 | 0 | 0 | 0 | 375 | 205 | 170 | 0 | 0 | 0 |
Berber languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 115 | 60 | 55 | 0 | 0 | 0 |
Chadic languages | 0 | 0 | 0 | 0 | 0 | 0 | 125 | 60 | 65 | 0 | 0 | 0 |
Hausa | 0 | 0 | 0 | 0 | 0 | 0 | 85 | 45 | 40 | 0 | 0 | 0 |
Mina | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 15 | 25 | 0 | 0 | 0 |
Coptic | 0 | 0 | 0 | 0 | 0 | 0 | 140 | 65 | 70 | 0 | 0 | 0 |
Cushitic languages | 0 | 0 | 0 | 0 | 0 | 0 | 370 | 175 | 195 | 0 | 0 | 0 |
Bilen | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 10 | 0 | 0 | 0 |
Oromo | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Somali | 0 | 0 | 0 | 0 | 0 | 0 | 350 | 165 | 185 | 0 | 0 | 0 |
Cushitic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 0 | 0 | 0 |
Semitic languages | 0 | 0 | 0 | 25 | 15 | 15 | 58,585 | 30,100 | 28,490 | 0 | 0 | 0 |
Amharic | 0 | 0 | 0 | 0 | 0 | 0 | 270 | 130 | 145 | 0 | 0 | 0 |
Arabic | 0 | 0 | 0 | 25 | 15 | 15 | 56,520 | 29,075 | 27,445 | 0 | 0 | 0 |
Aramaic languages | 0 | 0 | 0 | 0 | 0 | 0 | 85 | 35 | 50 | 0 | 0 | 0 |
Assyrian Neo-Aramaic | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 10 | 25 | 0 | 0 | 0 |
Chaldean Neo-Aramaic | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 5 | 0 | 0 | 0 |
Aramaic, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 20 | 20 | 0 | 0 | 0 |
Harari | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Hebrew | 0 | 0 | 0 | 0 | 0 | 0 | 1,230 | 615 | 610 | 0 | 0 | 0 |
Maltese | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tigrigna | 0 | 0 | 0 | 0 | 0 | 0 | 450 | 230 | 220 | 0 | 0 | 0 |
Semitic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 10 | 15 | 0 | 0 | 0 |
Austro-Asiatic languages | 0 | 0 | 0 | 5 | 0 | 5 | 17,355 | 8,030 | 9,325 | 0 | 0 | 0 |
Khmer (Cambodian) | 0 | 0 | 0 | 0 | 0 | 0 | 2,915 | 1,315 | 1,595 | 0 | 0 | 0 |
Vietnamese | 0 | 0 | 0 | 5 | 0 | 5 | 14,425 | 6,710 | 7,720 | 0 | 0 | 0 |
Austro-Asiatic languages, n.i.e | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 5 | 10 | 0 | 0 | 0 |
Austronesian languages | 0 | 0 | 0 | 0 | 0 | 0 | 10,910 | 4,620 | 6,295 | 0 | 0 | 0 |
Bikol | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 15 | 25 | 0 | 0 | 0 |
Bisaya, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 190 | 85 | 105 | 0 | 0 | 0 |
Cebuano | 0 | 0 | 0 | 0 | 0 | 0 | 475 | 200 | 270 | 0 | 0 | 0 |
Fijian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Hiligaynon | 0 | 0 | 0 | 0 | 0 | 0 | 280 | 115 | 165 | 0 | 0 | 0 |
Ilocano | 0 | 0 | 0 | 0 | 0 | 0 | 1,075 | 465 | 610 | 0 | 0 | 0 |
Indonesian | 0 | 0 | 0 | 0 | 0 | 0 | 195 | 90 | 105 | 0 | 0 | 0 |
Kankanaey | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 |
Kinaray-a | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 10 | 10 | 0 | 0 | 0 |
Malagasy languages | 0 | 0 | 0 | 0 | 0 | 0 | 125 | 60 | 65 | 0 | 0 | 0 |
Merina | 0 | 0 | 0 | 0 | 0 | 0 | 65 | 30 | 35 | 0 | 0 | 0 |
Malagasy, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 25 | 30 | 0 | 0 | 0 |
Malay | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 5 | 0 | 0 | 0 |
Pampangan (Kapampangan, Pampango) | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 55 | 60 | 0 | 0 | 0 |
Pangasinan | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 10 | 15 | 0 | 0 | 0 |
Tagalog (Pilipino, Filipino) | 0 | 0 | 0 | 0 | 0 | 0 | 8,240 | 3,435 | 4,805 | 0 | 0 | 0 |
Waray-Waray | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 5 | 5 | 0 | 0 | 0 |
Austronesian languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 55 | 55 | 0 | 0 | 0 |
Creole languages | 35 | 15 | 15 | 5 | 5 | 5 | 17,685 | 7,840 | 9,845 | 0 | 0 | 0 |
Haitian Creole | 20 | 10 | 10 | 5 | 0 | 0 | 12,780 | 5,515 | 7,265 | 0 | 0 | 0 |
Jamaican English Creole | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 0 | 0 | 0 |
Krio | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Morisyen | 0 | 0 | 0 | 0 | 0 | 0 | 580 | 280 | 300 | 0 | 0 | 0 |
Sango | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 5 | 0 | 0 | 0 |
Creole, n.o.s. | 10 | 5 | 5 | 0 | 0 | 0 | 4,210 | 1,990 | 2,220 | 0 | 0 | 0 |
Creole languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 95 | 50 | 45 | 0 | 0 | 0 |
Dravidian languages | 0 | 0 | 0 | 0 | 0 | 0 | 10,460 | 5,315 | 5,145 | 0 | 0 | 0 |
Kannada | 0 | 0 | 0 | 0 | 0 | 0 | 150 | 80 | 65 | 0 | 0 | 0 |
Malayalam | 0 | 0 | 0 | 0 | 0 | 0 | 1,035 | 550 | 485 | 0 | 0 | 0 |
Tamil | 0 | 0 | 0 | 0 | 0 | 0 | 8,370 | 4,095 | 4,270 | 0 | 0 | 0 |
Telugu | 0 | 0 | 0 | 0 | 0 | 0 | 895 | 580 | 315 | 0 | 0 | 0 |
Tulu | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 0 | 0 | 0 |
Dravidian languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 0 | 0 | 0 |
Georgian | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 25 | 30 | 0 | 0 | 0 |
Hmong-Mien languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Indo-European languages | 40 | 20 | 15 | 110 | 55 | 60 | 188,550 | 90,370 | 98,185 | 50 | 25 | 30 |
Albanian | 0 | 0 | 0 | 0 | 0 | 0 | 1,115 | 545 | 575 | 0 | 0 | 0 |
Armenian | 0 | 0 | 0 | 25 | 5 | 15 | 4,370 | 1,985 | 2,390 | 0 | 0 | 0 |
Balto-Slavic languages | 0 | 0 | 0 | 45 | 25 | 25 | 21,410 | 9,870 | 11,540 | 0 | 0 | 0 |
Baltic languages | 0 | 0 | 0 | 0 | 0 | 0 | 105 | 45 | 65 | 0 | 0 | 0 |
Latvian | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 20 | 20 | 0 | 0 | 0 |
Lithuanian | 0 | 0 | 0 | 0 | 0 | 0 | 70 | 25 | 40 | 0 | 0 | 0 |
Slavic languages | 0 | 0 | 0 | 45 | 25 | 25 | 21,300 | 9,830 | 11,475 | 0 | 0 | 0 |
Belarusian | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 5 | 0 | 0 | 0 |
Bulgarian | 0 | 0 | 0 | 20 | 10 | 10 | 2,425 | 1,165 | 1,265 | 0 | 0 | 0 |
Czech | 0 | 0 | 0 | 0 | 0 | 0 | 210 | 100 | 115 | 0 | 0 | 0 |
Macedonian | 0 | 0 | 0 | 0 | 0 | 0 | 70 | 30 | 35 | 0 | 0 | 0 |
Polish | 0 | 0 | 0 | 5 | 5 | 5 | 3,090 | 1,355 | 1,740 | 0 | 0 | 0 |
Russian | 0 | 0 | 0 | 20 | 5 | 10 | 12,475 | 5,775 | 6,700 | 0 | 0 | 0 |
Rusyn | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Serbo-Croatian | 0 | 0 | 0 | 0 | 0 | 0 | 1,445 | 685 | 760 | 0 | 0 | 0 |
Bosnian | 0 | 0 | 0 | 0 | 0 | 0 | 195 | 90 | 105 | 0 | 0 | 0 |
Croatian | 0 | 0 | 0 | 0 | 0 | 0 | 435 | 195 | 240 | 0 | 0 | 0 |
Serbian | 0 | 0 | 0 | 0 | 0 | 0 | 795 | 395 | 400 | 0 | 0 | 0 |
Serbo-Croatian, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 5 | 15 | 0 | 0 | 0 |
Slovak | 0 | 0 | 0 | 0 | 0 | 0 | 120 | 50 | 70 | 0 | 0 | 0 |
Slovene (Slovenian) | 0 | 0 | 0 | 0 | 0 | 0 | 90 | 45 | 50 | 0 | 0 | 0 |
Ukrainian | 0 | 0 | 0 | 0 | 0 | 0 | 1,365 | 625 | 735 | 0 | 0 | 0 |
Slavic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 5 | 0 | 0 | 0 |
Celtic languages | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 5 | 0 | 0 | 0 |
Irish | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 0 | 0 | 0 |
Scottish Gaelic | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 0 | 0 | 0 |
Welsh | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Celtic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Germanic languages | 0 | 0 | 0 | 0 | 0 | 0 | 6,845 | 3,535 | 3,320 | 0 | 0 | 0 |
Frisian | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 0 | 0 | 0 |
High German languages | 0 | 0 | 0 | 0 | 0 | 0 | 6,500 | 3,370 | 3,130 | 0 | 0 | 0 |
German | 0 | 0 | 0 | 0 | 0 | 0 | 770 | 360 | 410 | 0 | 0 | 0 |
Pennsylvania German | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Swiss German | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 15 | 10 | 0 | 0 | 0 |
Yiddish | 0 | 0 | 0 | 0 | 0 | 0 | 5,700 | 2,995 | 2,700 | 0 | 0 | 0 |
Low Saxon-Low Franconian languages | 0 | 0 | 0 | 0 | 0 | 0 | 220 | 105 | 115 | 0 | 0 | 0 |
Afrikaans | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 20 | 25 | 0 | 0 | 0 |
Dutch | 0 | 0 | 0 | 0 | 0 | 0 | 155 | 80 | 75 | 0 | 0 | 0 |
Low German, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Low Saxon | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Plautdietsch | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Vlaams (Flemish) | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 10 | 0 | 0 | 0 |
Scandinavian languages | 0 | 0 | 0 | 0 | 0 | 0 | 120 | 50 | 65 | 0 | 0 | 0 |
Danish | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 10 | 15 | 0 | 0 | 0 |
Icelandic | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 5 | 15 | 0 | 0 | 0 |
Norwegian | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 0 | 0 | 0 |
Swedish | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 30 | 35 | 0 | 0 | 0 |
Germanic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 5 | 0 | 0 | 0 |
Greek | 0 | 0 | 0 | 5 | 0 | 0 | 8,270 | 3,715 | 4,555 | 0 | 0 | 0 |
Indo-Iranian languages | 0 | 0 | 0 | 10 | 5 | 10 | 50,680 | 26,200 | 24,485 | 30 | 10 | 15 |
Indo-Aryan languages | 0 | 0 | 0 | 0 | 0 | 0 | 35,595 | 18,850 | 16,750 | 30 | 10 | 15 |
Assamese | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 0 | 0 | 0 |
Bengali | 0 | 0 | 0 | 0 | 0 | 0 | 7,495 | 3,730 | 3,765 | 0 | 0 | 0 |
Gujarati | 0 | 0 | 0 | 0 | 0 | 0 | 3,960 | 2,040 | 1,920 | 0 | 0 | 0 |
Hindi | 0 | 0 | 0 | 0 | 0 | 0 | 2,820 | 1,560 | 1,260 | 0 | 5 | 0 |
Kacchi | 0 | 0 | 0 | 0 | 0 | 0 | 75 | 35 | 40 | 0 | 0 | 0 |
Kashmiri | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Konkani | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 10 | 5 | 0 | 0 | 0 |
Marathi | 0 | 0 | 0 | 0 | 0 | 0 | 180 | 100 | 80 | 0 | 0 | 0 |
Nepali | 0 | 0 | 0 | 0 | 0 | 0 | 240 | 125 | 115 | 0 | 0 | 0 |
Oriya languages | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 0 | 0 | 0 |
Odia | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 0 | 0 | 0 |
Oriya, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Punjabi (Panjabi) | 0 | 0 | 0 | 0 | 0 | 0 | 14,920 | 8,220 | 6,695 | 25 | 10 | 15 |
Rohingya | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Sindhi | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 10 | 10 | 0 | 0 | 0 |
Sinhala (Sinhalese) | 0 | 0 | 0 | 0 | 0 | 0 | 270 | 145 | 125 | 0 | 0 | 0 |
Urdu | 0 | 0 | 0 | 0 | 0 | 0 | 5,470 | 2,800 | 2,670 | 0 | 0 | 0 |
Indo-Aryan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 120 | 60 | 55 | 0 | 0 | 0 |
Iranian languages | 0 | 0 | 0 | 10 | 0 | 5 | 15,075 | 7,345 | 7,730 | 0 | 0 | 0 |
Baluchi | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Kurdish | 0 | 0 | 0 | 0 | 0 | 0 | 250 | 135 | 120 | 0 | 0 | 0 |
Parsi | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 5 | 5 | 0 | 0 | 0 |
Pashto | 0 | 0 | 0 | 0 | 0 | 0 | 775 | 410 | 360 | 0 | 0 | 0 |
Persian languages | 0 | 0 | 0 | 10 | 0 | 5 | 13,990 | 6,770 | 7,220 | 0 | 0 | 0 |
Dari | 0 | 0 | 0 | 0 | 0 | 0 | 800 | 390 | 415 | 0 | 0 | 0 |
Iranian Persian | 0 | 0 | 0 | 5 | 0 | 5 | 12,080 | 5,855 | 6,225 | 0 | 0 | 0 |
Persian (Farsi), n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 1,110 | 530 | 585 | 0 | 0 | 0 |
Iranian languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 15 | 20 | 0 | 0 | 0 |
Indo-Iranian languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 5 | 0 | 0 | 0 |
Italic (Romance) languages | 40 | 20 | 15 | 20 | 10 | 10 | 95,835 | 44,515 | 51,315 | 15 | 5 | 10 |
Catalan | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 40 | 40 | 0 | 0 | 0 |
Italian | 10 | 0 | 0 | 0 | 0 | 0 | 22,105 | 9,270 | 12,835 | 5 | 5 | 5 |
Portuguese | 0 | 0 | 0 | 0 | 0 | 0 | 10,365 | 4,860 | 5,500 | 5 | 0 | 0 |
Romanian | 0 | 0 | 0 | 15 | 10 | 5 | 8,915 | 4,290 | 4,620 | 0 | 0 | 0 |
Spanish | 30 | 15 | 10 | 5 | 5 | 0 | 54,335 | 26,035 | 28,300 | 5 | 0 | 0 |
Italic (Romance) languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 25 | 20 | 0 | 0 | 0 |
Indo-European languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 0 | 0 | 0 |
Japanese | 0 | 0 | 0 | 0 | 0 | 0 | 840 | 340 | 500 | 0 | 0 | 0 |
Korean | 0 | 0 | 0 | 0 | 0 | 0 | 3,655 | 1,635 | 2,015 | 0 | 0 | 0 |
Mongolian | 0 | 0 | 0 | 0 | 0 | 0 | 130 | 55 | 70 | 0 | 0 | 0 |
Niger-Congo languages | 0 | 0 | 0 | 0 | 0 | 0 | 4,365 | 2,125 | 2,240 | 5 | 5 | 0 |
Akan (Twi) | 0 | 0 | 0 | 0 | 0 | 0 | 370 | 175 | 190 | 0 | 0 | 0 |
Bamanankan | 0 | 0 | 0 | 0 | 0 | 0 | 205 | 100 | 105 | 0 | 0 | 0 |
Edo | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 10 | 10 | 0 | 0 | 0 |
Éwé | 0 | 0 | 0 | 0 | 0 | 0 | 90 | 45 | 45 | 0 | 0 | 0 |
Fulah (Pular, Pulaar, Fulfulde) | 0 | 0 | 0 | 0 | 0 | 0 | 455 | 240 | 215 | 0 | 0 | 0 |
Ga | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 10 | 15 | 0 | 0 | 0 |
Ganda | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 0 | 0 | 0 |
Gikuyu | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Igbo | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 10 | 10 | 0 | 0 | 0 |
Kinyarwanda (Rwanda) | 0 | 0 | 0 | 0 | 0 | 0 | 350 | 145 | 200 | 0 | 0 | 0 |
Lingala | 0 | 0 | 0 | 0 | 0 | 0 | 585 | 255 | 325 | 0 | 0 | 0 |
Luba-Kasai | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 0 | 0 | 0 |
Mòoré | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 10 | 10 | 0 | 0 | 0 |
Mwani | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 0 | 0 | 0 | 0 |
Ndebele | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 0 | 0 | 0 |
Rundi (Kirundi) | 0 | 0 | 0 | 0 | 0 | 0 | 480 | 220 | 255 | 0 | 0 | 0 |
Shona | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 15 | 20 | 0 | 0 | 0 |
Soninke | 0 | 0 | 0 | 0 | 0 | 0 | 95 | 65 | 30 | 0 | 0 | 0 |
Sotho-Tswana languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Swahili | 0 | 0 | 0 | 0 | 0 | 0 | 300 | 160 | 135 | 0 | 0 | 0 |
Wojenaka | 0 | 0 | 0 | 0 | 0 | 0 | 130 | 50 | 80 | 0 | 0 | 0 |
Wolof | 0 | 0 | 0 | 0 | 0 | 0 | 620 | 335 | 285 | 0 | 0 | 0 |
Yoruba | 0 | 0 | 0 | 0 | 0 | 0 | 190 | 90 | 100 | 0 | 0 | 0 |
Niger-Congo languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 345 | 155 | 185 | 0 | 0 | 0 |
Nilo-Saharan languages | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 60 | 55 | 0 | 0 | 0 |
Dinka | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Nuer | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 |
Nilo-Saharan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 105 | 60 | 45 | 0 | 0 | 0 |
African, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 0 | 0 | 0 |
Sign languages | 0 | 0 | 0 | 0 | 0 | 0 | 595 | 350 | 250 | 0 | 0 | 0 |
American Sign Language | 0 | 0 | 0 | 0 | 0 | 0 | 140 | 75 | 65 | 0 | 0 | 0 |
Quebec Sign Language | 0 | 0 | 0 | 0 | 0 | 0 | 325 | 175 | 145 | 0 | 0 | 0 |
Sign languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 135 | 95 | 40 | 0 | 0 | 0 |
Sino-Tibetan languages | 0 | 0 | 0 | 5 | 0 | 0 | 43,570 | 20,275 | 23,295 | 5 | 0 | 0 |
Chinese languages | 0 | 0 | 0 | 5 | 0 | 0 | 43,475 | 20,230 | 23,240 | 5 | 0 | 0 |
Hakka | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 40 | 45 | 0 | 0 | 0 |
Mandarin | 0 | 0 | 0 | 5 | 0 | 0 | 30,855 | 14,425 | 16,430 | 5 | 0 | 0 |
Min Dong | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 0 | 0 | 0 |
Min Nan (Chaochow, Teochow, Fukien, Taiwanese) | 0 | 0 | 0 | 0 | 0 | 0 | 1,135 | 505 | 635 | 0 | 0 | 0 |
Wu (Shanghainese) | 0 | 0 | 0 | 0 | 0 | 0 | 355 | 170 | 185 | 0 | 0 | 0 |
Yue (Cantonese) | 0 | 0 | 0 | 0 | 0 | 0 | 10,470 | 4,815 | 5,655 | 0 | 0 | 0 |
Chinese, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 560 | 270 | 285 | 0 | 0 | 0 |
Chinese languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 5 | 5 | 0 | 0 | 0 |
Tibeto-Burman languages | 0 | 0 | 0 | 0 | 0 | 0 | 70 | 30 | 35 | 0 | 0 | 0 |
Burmese | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 15 | 20 | 0 | 0 | 0 |
Kuki-Chin languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Karenic languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
S'gaw Karen | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Karenic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tibetan | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 20 | 15 | 0 | 0 | 0 |
Tibeto-Burman languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Sino-Tibetan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 10 | 15 | 0 | 0 | 0 |
Tai-Kadai languages | 0 | 0 | 0 | 0 | 0 | 0 | 895 | 420 | 480 | 0 | 0 | 0 |
Lao | 0 | 0 | 0 | 0 | 0 | 0 | 740 | 360 | 385 | 0 | 0 | 0 |
Thai | 0 | 0 | 0 | 0 | 0 | 0 | 155 | 60 | 95 | 0 | 0 | 0 |
Tai-Kadai languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Turkic languages | 0 | 0 | 0 | 0 | 0 | 0 | 3,885 | 1,945 | 1,945 | 0 | 0 | 0 |
Azerbaijani | 0 | 0 | 0 | 0 | 0 | 0 | 115 | 65 | 50 | 0 | 0 | 0 |
Kazakh | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 0 | 0 | 0 |
Turkish | 0 | 0 | 0 | 0 | 0 | 0 | 3,595 | 1,795 | 1,805 | 0 | 0 | 0 |
Uyghur | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 45 | 60 | 0 | 0 | 0 |
Uzbek | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 25 | 20 | 0 | 0 | 0 |
Turkic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 15 | 10 | 0 | 0 | 0 |
Uralic languages | 0 | 0 | 0 | 0 | 0 | 0 | 935 | 395 | 535 | 0 | 0 | 0 |
Estonian | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 5 | 0 | 0 | 0 |
Finnish | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 10 | 15 | 0 | 0 | 0 |
Hungarian | 0 | 0 | 0 | 0 | 0 | 0 | 895 | 380 | 520 | 0 | 0 | 0 |
Other languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 15 | 15 | 0 | 0 | 0 |
Multiple responses | 65 | 35 | 30 | 70 | 30 | 40 | 173,745 | 85,640 | 88,110 | 20 | 15 | 5 |
English and French | 5 | 5 | 5 | 15 | 10 | 10 | 53,305 | 27,065 | 26,240 | 5 | 5 | 0 |
English and non-official language(s) | 0 | 0 | 5 | 20 | 10 | 10 | 39,365 | 19,140 | 20,225 | 0 | 0 | 0 |
French and non-official language(s) | 45 | 25 | 20 | 20 | 10 | 10 | 57,355 | 27,790 | 29,565 | 5 | 0 | 0 |
English, French and non-official language(s) | 10 | 0 | 5 | 10 | 0 | 5 | 21,910 | 10,810 | 11,100 | 5 | 0 | 0 |
Multiple non-official languages | 0 | 0 | 0 | 0 | 0 | 0 | 1,815 | 840 | 980 | 0 | 0 | 0 |
Other language spoken regularly at home | ||||||||||||
Total - Other language(s) spoken regularly at home for the total population excluding institutional residents - 100% data42 | 525 | 275 | 250 | 870 | 415 | 450 | 1,980,015 | 974,025 | 1,005,995 | 535 | 270 | 260 |
None | 375 | 200 | 180 | 585 | 280 | 305 | 1,454,735 | 714,280 | 740,455 | 425 | 220 | 205 |
English | 10 | 10 | 5 | 55 | 30 | 30 | 131,630 | 67,290 | 64,340 | 35 | 15 | 15 |
French | 35 | 20 | 15 | 75 | 35 | 35 | 126,780 | 62,180 | 64,600 | 20 | 10 | 10 |
Non-official language | 70 | 35 | 40 | 50 | 20 | 25 | 144,335 | 69,210 | 75,130 | 35 | 20 | 20 |
Indigenous39 | 0 | 0 | 0 | 0 | 0 | 0 | 185 | 75 | 110 | 0 | 0 | 0 |
Non-Indigenous | 70 | 35 | 40 | 50 | 20 | 25 | 144,155 | 69,135 | 75,015 | 35 | 20 | 20 |
English and French | 10 | 5 | 5 | 40 | 15 | 20 | 34,410 | 17,320 | 17,090 | 5 | 0 | 0 |
English and non-official language(s) | 15 | 10 | 5 | 30 | 20 | 15 | 38,875 | 19,700 | 19,180 | 10 | 5 | 5 |
French and non-official language(s) | 5 | 5 | 0 | 30 | 20 | 15 | 33,620 | 16,170 | 17,450 | 5 | 5 | 0 |
English, French and non-official language(s) | 0 | 0 | 0 | 0 | 0 | 5 | 4,120 | 2,100 | 2,025 | 0 | 0 | 0 |
Multiple non-official languages | 5 | 0 | 0 | 0 | 0 | 0 | 11,505 | 5,770 | 5,735 | 5 | 0 | 5 |
Knowledge of languages | ||||||||||||
Total - Knowledge of languages for the population in private households - 25% sample data43 | 530 | 265 | 265 | 850 | 420 | 435 | 1,959,355 | 965,670 | 993,685 | 480 | 235 | 250 |
Official languages | 530 | 265 | 265 | 835 | 410 | 425 | 1,913,970 | 947,390 | 966,575 | 480 | 230 | 250 |
English | 310 | 160 | 150 | 775 | 400 | 375 | 1,435,560 | 729,670 | 705,890 | 415 | 205 | 210 |
French | 500 | 255 | 255 | 720 | 350 | 370 | 1,655,330 | 814,660 | 840,670 | 350 | 165 | 185 |
Non-official languages | 325 | 155 | 170 | 435 | 205 | 225 | 971,455 | 471,755 | 499,700 | 230 | 105 | 120 |
Indigenous languages39 | 0 | 0 | 0 | 0 | 0 | 0 | 890 | 350 | 540 | 0 | 0 | 0 |
Algonquian languages | 0 | 0 | 0 | 0 | 0 | 0 | 400 | 170 | 225 | 0 | 0 | 0 |
Blackfoot | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Cree-Innu languages | 0 | 0 | 0 | 0 | 0 | 0 | 290 | 110 | 175 | 0 | 0 | 0 |
Atikamekw | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0 | 15 | 0 | 0 | 0 |
Cree languages | 0 | 0 | 0 | 0 | 0 | 0 | 180 | 75 | 110 | 0 | 0 | 0 |
Ililimowin (Moose Cree) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Inu Ayimun (Southern East Cree) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Iyiyiw-Ayimiwin (Northern East Cree) | 0 | 0 | 0 | 0 | 0 | 0 | 75 | 40 | 40 | 0 | 0 | 0 |
Nehinawewin (Swampy Cree) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Nehiyawewin (Plains Cree) | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 15 | 0 | 0 | 0 |
Nihithawiwin (Woods Cree) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Cree, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 75 | 30 | 45 | 0 | 0 | 0 |
Innu (Montagnais) | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 25 | 60 | 0 | 0 | 0 |
Naskapi | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 10 | 10 | 0 | 0 | 0 |
Eastern Algonquian languages | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 10 | 10 | 0 | 0 | 0 |
Mi'kmaq | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 10 | 10 | 0 | 0 | 0 |
Wolastoqewi (Malecite) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Ojibway-Potawatomi languages | 0 | 0 | 0 | 0 | 0 | 0 | 105 | 55 | 45 | 0 | 0 | 0 |
Anicinabemowin (Algonquin) | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 20 | 15 | 0 | 0 | 0 |
Oji-Cree | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Ojibway languages | 0 | 0 | 0 | 0 | 0 | 0 | 65 | 40 | 35 | 0 | 0 | 0 |
Anishinaabemowin (Chippewa) | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 20 | 25 | 0 | 0 | 0 |
Daawaamwin (Odawa) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Saulteau (Western Ojibway) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Ojibway, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 15 | 10 | 0 | 0 | 0 |
Algonquian languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Athabaskan languages | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 20 | 15 | 0 | 0 | 0 |
Northern Athabaskan languages | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 20 | 10 | 0 | 0 | 0 |
Dakelh (Carrier) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Dane-zaa (Beaver) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Dene, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Gwich'in | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Slavey-Hare languages | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 15 | 10 | 0 | 0 | 0 |
Deh Gah Ghotie Zhatie (South Slavey) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Satuotine Yati (North Slavey) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Slavey, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 0 | 0 | 0 | 0 |
Tahltan languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Kaska (Nahani) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tahltan | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tlicho (Dogrib) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tse'khene (Sekani) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tsilhqot'in (Chilcotin) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tsuu T'ina (Sarsi) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tutchone languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Northern Tutchone | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Southern Tutchone | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tutchone, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Wetsuwet'en-Babine | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tlingit | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Athabaskan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Haida | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Inuktut (Inuit) languages | 0 | 0 | 0 | 0 | 0 | 0 | 365 | 85 | 275 | 0 | 0 | 0 |
Inuinnaqtun (Inuvialuktun) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Inuinnaqtun | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Inuvialuktun | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Inuktitut | 0 | 0 | 0 | 0 | 0 | 0 | 360 | 85 | 275 | 0 | 0 | 0 |
Inuktut (Inuit) languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Iroquoian languages | 0 | 0 | 0 | 0 | 0 | 0 | 65 | 55 | 20 | 0 | 0 | 0 |
Cayuga | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Mohawk | 0 | 0 | 0 | 0 | 0 | 0 | 65 | 50 | 20 | 0 | 0 | 0 |
Oneida | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Iroquoian languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Ktunaxa (Kutenai) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Michif | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Salish languages | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 0 | 0 | 0 |
Halkomelem | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Lillooet | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Ntlakapamux (Thompson) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Secwepemctsin (Shuswap) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Squamish | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Straits | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Syilx (Okanagan) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Salish languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Siouan languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Assiniboine | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Dakota | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Stoney | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Siouan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tsimshian languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Gitxsan (Gitksan) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Nisga'a | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tsimshian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Wakashan languages | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 0 | 0 | 0 |
Haisla | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Heiltsuk | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Kwak'wala (Kwakiutl) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Nuu-chah-nulth (Nootka) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Wakashan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Indigenous languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 0 | 0 | 0 | 0 |
Indigenous languages, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Non-Indigenous languages | 325 | 155 | 170 | 435 | 205 | 225 | 970,710 | 471,495 | 499,220 | 230 | 105 | 120 |
Afro-Asiatic languages | 0 | 0 | 0 | 135 | 60 | 75 | 217,295 | 113,605 | 103,690 | 0 | 0 | 0 |
Berber languages | 0 | 0 | 0 | 0 | 0 | 0 | 24,100 | 12,860 | 11,245 | 0 | 0 | 0 |
Kabyle | 0 | 0 | 0 | 0 | 0 | 0 | 21,780 | 11,590 | 10,195 | 0 | 0 | 0 |
Tamazight | 0 | 0 | 0 | 0 | 0 | 0 | 2,055 | 1,140 | 915 | 0 | 0 | 0 |
Berber languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 560 | 290 | 270 | 0 | 0 | 0 |
Chadic languages | 0 | 0 | 0 | 0 | 0 | 0 | 1,245 | 675 | 565 | 0 | 0 | 0 |
Hausa | 0 | 0 | 0 | 0 | 0 | 0 | 600 | 380 | 215 | 0 | 0 | 0 |
Mina | 0 | 0 | 0 | 0 | 0 | 0 | 645 | 295 | 350 | 0 | 0 | 0 |
Coptic | 0 | 0 | 0 | 0 | 0 | 0 | 795 | 415 | 385 | 0 | 0 | 0 |
Cushitic languages | 0 | 0 | 0 | 0 | 0 | 0 | 1,185 | 555 | 625 | 0 | 0 | 0 |
Bilen | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 0 | 0 | 0 | 0 |
Oromo | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 0 | 0 | 0 |
Somali | 0 | 0 | 0 | 0 | 0 | 0 | 1,140 | 530 | 610 | 0 | 0 | 0 |
Cushitic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 15 | 40 | 0 | 0 | 0 |
Semitic languages | 0 | 0 | 0 | 135 | 60 | 75 | 205,120 | 107,210 | 97,905 | 0 | 0 | 0 |
Amharic | 0 | 0 | 0 | 0 | 0 | 0 | 880 | 435 | 445 | 0 | 0 | 0 |
Arabic | 0 | 0 | 0 | 135 | 60 | 75 | 188,115 | 98,545 | 89,565 | 0 | 0 | 0 |
Aramaic languages | 0 | 0 | 0 | 0 | 0 | 0 | 230 | 100 | 135 | 0 | 0 | 0 |
Assyrian Neo-Aramaic | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 20 | 35 | 0 | 0 | 0 |
Chaldean Neo-Aramaic | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 0 | 0 | 0 |
Aramaic, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 170 | 75 | 100 | 0 | 0 | 0 |
Harari | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Hebrew | 0 | 0 | 0 | 0 | 0 | 0 | 16,440 | 8,520 | 7,920 | 0 | 0 | 0 |
Maltese | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 15 | 10 | 0 | 0 | 0 |
Tigrigna | 0 | 0 | 0 | 0 | 0 | 0 | 820 | 400 | 420 | 0 | 0 | 0 |
Semitic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 75 | 50 | 25 | 0 | 0 | 0 |
Austro-Asiatic languages | 0 | 0 | 0 | 0 | 0 | 0 | 32,680 | 15,395 | 17,290 | 0 | 0 | 0 |
Khmer (Cambodian) | 0 | 0 | 0 | 0 | 0 | 0 | 7,045 | 3,265 | 3,785 | 0 | 0 | 0 |
Vietnamese | 0 | 0 | 0 | 0 | 0 | 0 | 26,160 | 12,400 | 13,760 | 0 | 0 | 0 |
Austro-Asiatic languages, n.i.e | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 25 | 30 | 0 | 0 | 0 |
Austronesian languages | 0 | 0 | 0 | 0 | 0 | 0 | 29,140 | 11,470 | 17,675 | 0 | 0 | 0 |
Bikol | 0 | 0 | 0 | 0 | 0 | 0 | 250 | 95 | 150 | 0 | 0 | 0 |
Bisaya, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 525 | 230 | 290 | 0 | 0 | 0 |
Cebuano | 0 | 0 | 0 | 0 | 0 | 0 | 1,385 | 480 | 905 | 0 | 0 | 0 |
Fijian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Hiligaynon | 0 | 0 | 0 | 0 | 0 | 0 | 910 | 340 | 565 | 0 | 0 | 0 |
Ilocano | 0 | 0 | 0 | 0 | 0 | 0 | 3,350 | 1,395 | 1,950 | 0 | 0 | 0 |
Indonesian | 0 | 0 | 0 | 0 | 0 | 0 | 900 | 395 | 505 | 0 | 0 | 0 |
Kankanaey | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 30 | 35 | 0 | 0 | 0 |
Kinaray-a | 0 | 0 | 0 | 0 | 0 | 0 | 85 | 25 | 60 | 0 | 0 | 0 |
Malagasy languages | 0 | 0 | 0 | 0 | 0 | 0 | 855 | 420 | 435 | 0 | 0 | 0 |
Merina | 0 | 0 | 0 | 0 | 0 | 0 | 670 | 330 | 345 | 0 | 0 | 0 |
Malagasy, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 185 | 90 | 90 | 0 | 0 | 0 |
Malay | 0 | 0 | 0 | 0 | 0 | 0 | 390 | 195 | 195 | 0 | 0 | 0 |
Pampangan (Kapampangan, Pampango) | 0 | 0 | 0 | 0 | 0 | 0 | 395 | 180 | 215 | 0 | 0 | 0 |
Pangasinan | 0 | 0 | 0 | 0 | 0 | 0 | 155 | 70 | 85 | 0 | 0 | 0 |
Tagalog (Pilipino, Filipino) | 0 | 0 | 0 | 0 | 0 | 0 | 25,940 | 9,975 | 15,965 | 0 | 0 | 0 |
Waray-Waray | 0 | 0 | 0 | 0 | 0 | 0 | 145 | 70 | 75 | 0 | 0 | 0 |
Austronesian languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 1,040 | 445 | 595 | 0 | 0 | 0 |
Creole languages | 160 | 80 | 80 | 30 | 20 | 10 | 76,295 | 34,775 | 41,520 | 20 | 10 | 10 |
Haitian Creole | 160 | 80 | 80 | 10 | 0 | 0 | 67,895 | 30,695 | 37,205 | 15 | 10 | 10 |
Jamaican English Creole | 0 | 0 | 0 | 0 | 0 | 0 | 245 | 130 | 115 | 0 | 0 | 0 |
Krio | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 25 | 40 | 0 | 0 | 0 |
Morisyen | 0 | 0 | 0 | 15 | 10 | 10 | 2,710 | 1,370 | 1,340 | 0 | 0 | 0 |
Sango | 0 | 0 | 0 | 0 | 0 | 0 | 190 | 110 | 80 | 0 | 0 | 0 |
Creole, n.o.s. | 75 | 40 | 35 | 0 | 0 | 0 | 12,280 | 5,760 | 6,520 | 0 | 0 | 0 |
Creole languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 1,600 | 705 | 895 | 0 | 0 | 0 |
Dravidian languages | 0 | 0 | 0 | 0 | 0 | 0 | 18,785 | 9,760 | 9,020 | 0 | 0 | 0 |
Kannada | 0 | 0 | 0 | 0 | 0 | 0 | 725 | 415 | 310 | 0 | 0 | 0 |
Malayalam | 0 | 0 | 0 | 0 | 0 | 0 | 2,025 | 1,060 | 965 | 0 | 0 | 0 |
Tamil | 0 | 0 | 0 | 0 | 0 | 0 | 14,560 | 7,265 | 7,300 | 0 | 0 | 0 |
Telugu | 0 | 0 | 0 | 0 | 0 | 0 | 2,570 | 1,670 | 905 | 0 | 0 | 0 |
Tulu | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 20 | 10 | 0 | 0 | 0 |
Dravidian languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 10 | 15 | 0 | 0 | 0 |
Georgian | 0 | 0 | 0 | 0 | 0 | 0 | 175 | 80 | 95 | 0 | 0 | 0 |
Hmong-Mien languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Indo-European languages | 165 | 75 | 85 | 260 | 120 | 140 | 514,485 | 250,190 | 264,295 | 145 | 65 | 80 |
Albanian | 0 | 0 | 0 | 0 | 0 | 0 | 2,600 | 1,315 | 1,285 | 0 | 0 | 0 |
Armenian | 0 | 0 | 0 | 0 | 0 | 0 | 8,650 | 4,080 | 4,575 | 0 | 0 | 0 |
Balto-Slavic languages | 0 | 0 | 0 | 115 | 55 | 65 | 50,700 | 23,530 | 27,165 | 0 | 0 | 0 |
Baltic languages | 0 | 0 | 0 | 0 | 0 | 0 | 705 | 280 | 425 | 0 | 0 | 0 |
Latvian | 0 | 0 | 0 | 0 | 0 | 0 | 270 | 110 | 160 | 0 | 0 | 0 |
Lithuanian | 0 | 0 | 0 | 0 | 0 | 0 | 435 | 170 | 260 | 0 | 0 | 0 |
Slavic languages | 0 | 0 | 0 | 115 | 55 | 65 | 50,190 | 23,320 | 26,870 | 0 | 0 | 0 |
Belarusian | 0 | 0 | 0 | 0 | 0 | 0 | 205 | 75 | 125 | 0 | 0 | 0 |
Bulgarian | 0 | 0 | 0 | 10 | 0 | 10 | 4,515 | 2,155 | 2,360 | 0 | 0 | 0 |
Czech | 0 | 0 | 0 | 0 | 0 | 0 | 1,265 | 590 | 675 | 0 | 0 | 0 |
Macedonian | 0 | 0 | 0 | 0 | 0 | 0 | 255 | 100 | 160 | 0 | 0 | 0 |
Polish | 0 | 0 | 0 | 0 | 0 | 0 | 10,130 | 4,475 | 5,650 | 0 | 0 | 0 |
Russian | 0 | 0 | 0 | 85 | 45 | 35 | 29,515 | 13,855 | 15,655 | 0 | 0 | 0 |
Rusyn | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Serbo-Croatian | 0 | 0 | 0 | 0 | 0 | 0 | 4,100 | 2,025 | 2,075 | 0 | 0 | 0 |
Bosnian | 0 | 0 | 0 | 0 | 0 | 0 | 715 | 335 | 380 | 0 | 0 | 0 |
Croatian | 0 | 0 | 0 | 0 | 0 | 0 | 1,880 | 935 | 950 | 0 | 0 | 0 |
Serbian | 0 | 0 | 0 | 0 | 0 | 0 | 2,105 | 1,025 | 1,080 | 0 | 0 | 0 |
Serbo-Croatian, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 60 | 50 | 0 | 0 | 0 |
Slovak | 0 | 0 | 0 | 0 | 0 | 0 | 795 | 340 | 455 | 0 | 0 | 0 |
Slovene (Slovenian) | 0 | 0 | 0 | 0 | 0 | 0 | 440 | 185 | 255 | 0 | 0 | 0 |
Ukrainian | 0 | 0 | 0 | 20 | 10 | 15 | 5,945 | 2,635 | 3,310 | 0 | 0 | 0 |
Slavic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 15 | 30 | 0 | 0 | 0 |
Celtic languages | 0 | 0 | 0 | 0 | 0 | 0 | 315 | 180 | 135 | 0 | 0 | 0 |
Irish | 0 | 0 | 0 | 0 | 0 | 0 | 140 | 85 | 55 | 0 | 0 | 0 |
Scottish Gaelic | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 30 | 20 | 0 | 0 | 0 |
Welsh | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 20 | 15 | 0 | 0 | 0 |
Celtic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 90 | 50 | 45 | 0 | 0 | 0 |
Germanic languages | 0 | 0 | 0 | 20 | 0 | 15 | 35,095 | 17,750 | 17,345 | 0 | 0 | 0 |
Frisian | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 20 | 25 | 0 | 0 | 0 |
High German languages | 0 | 0 | 0 | 20 | 0 | 15 | 31,565 | 16,090 | 15,470 | 0 | 0 | 0 |
German | 0 | 0 | 0 | 20 | 0 | 15 | 21,270 | 10,840 | 10,435 | 0 | 0 | 0 |
Pennsylvania German | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Swiss German | 0 | 0 | 0 | 0 | 0 | 0 | 385 | 155 | 230 | 0 | 0 | 0 |
Yiddish | 0 | 0 | 0 | 0 | 0 | 0 | 10,330 | 5,310 | 5,020 | 0 | 0 | 0 |
Low Saxon-Low Franconian languages | 0 | 0 | 0 | 0 | 0 | 0 | 2,655 | 1,335 | 1,325 | 0 | 0 | 0 |
Afrikaans | 0 | 0 | 0 | 0 | 0 | 0 | 330 | 170 | 160 | 0 | 0 | 0 |
Dutch | 0 | 0 | 0 | 0 | 0 | 0 | 2,130 | 1,075 | 1,055 | 0 | 0 | 0 |
Low German, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Low Saxon | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Plautdietsch | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0 | 20 | 0 | 0 | 0 |
Vlaams (Flemish) | 0 | 0 | 0 | 0 | 0 | 0 | 220 | 100 | 120 | 0 | 0 | 0 |
Scandinavian languages | 0 | 0 | 0 | 0 | 0 | 0 | 1,865 | 920 | 945 | 0 | 0 | 0 |
Danish | 0 | 0 | 0 | 0 | 0 | 0 | 545 | 250 | 295 | 0 | 0 | 0 |
Icelandic | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 25 | 25 | 0 | 0 | 0 |
Norwegian | 0 | 0 | 0 | 0 | 0 | 0 | 400 | 220 | 180 | 0 | 0 | 0 |
Swedish | 0 | 0 | 0 | 0 | 0 | 0 | 1,030 | 530 | 500 | 0 | 0 | 0 |
Germanic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 30 | 50 | 0 | 0 | 0 |
Greek | 0 | 0 | 0 | 15 | 10 | 0 | 25,065 | 12,045 | 13,015 | 0 | 0 | 0 |
Indo-Iranian languages | 0 | 0 | 0 | 25 | 15 | 10 | 91,140 | 48,390 | 42,750 | 65 | 25 | 40 |
Indo-Aryan languages | 0 | 0 | 0 | 25 | 15 | 10 | 66,760 | 36,130 | 30,625 | 65 | 25 | 40 |
Assamese | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 25 | 20 | 0 | 0 | 0 |
Bengali | 0 | 0 | 0 | 0 | 0 | 0 | 13,405 | 6,905 | 6,495 | 0 | 0 | 0 |
Gujarati | 0 | 0 | 0 | 0 | 0 | 0 | 8,845 | 4,710 | 4,130 | 0 | 0 | 0 |
Hindi | 0 | 0 | 0 | 0 | 0 | 0 | 28,090 | 15,325 | 12,765 | 30 | 15 | 15 |
Kacchi | 0 | 0 | 0 | 0 | 0 | 0 | 250 | 115 | 140 | 0 | 0 | 0 |
Kashmiri | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 35 | 20 | 0 | 0 | 0 |
Konkani | 0 | 0 | 0 | 0 | 0 | 0 | 205 | 115 | 85 | 0 | 0 | 0 |
Marathi | 0 | 0 | 0 | 0 | 0 | 0 | 920 | 500 | 420 | 0 | 0 | 0 |
Nepali | 0 | 0 | 0 | 0 | 0 | 0 | 560 | 305 | 255 | 0 | 0 | 0 |
Oriya languages | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 20 | 35 | 0 | 0 | 0 |
Odia | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 15 | 20 | 0 | 0 | 0 |
Oriya, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0 | 15 | 0 | 0 | 0 |
Punjabi (Panjabi) | 0 | 0 | 0 | 0 | 0 | 0 | 25,595 | 14,160 | 11,445 | 65 | 25 | 40 |
Rohingya | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Sindhi | 0 | 0 | 0 | 0 | 0 | 0 | 175 | 85 | 85 | 0 | 0 | 0 |
Sinhala (Sinhalese) | 0 | 0 | 0 | 0 | 0 | 0 | 1,060 | 585 | 475 | 0 | 0 | 0 |
Urdu | 0 | 0 | 0 | 20 | 15 | 0 | 12,905 | 7,015 | 5,890 | 0 | 0 | 0 |
Indo-Aryan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 565 | 350 | 215 | 0 | 0 | 0 |
Iranian languages | 0 | 0 | 0 | 0 | 0 | 0 | 25,080 | 12,635 | 12,445 | 0 | 0 | 0 |
Baluchi | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Kurdish | 0 | 0 | 0 | 0 | 0 | 0 | 855 | 505 | 345 | 0 | 0 | 0 |
Parsi | 0 | 0 | 0 | 0 | 0 | 0 | 95 | 50 | 40 | 0 | 0 | 0 |
Pashto | 0 | 0 | 0 | 0 | 0 | 0 | 1,300 | 690 | 600 | 0 | 0 | 0 |
Persian languages | 0 | 0 | 0 | 0 | 0 | 0 | 23,195 | 11,620 | 11,575 | 0 | 0 | 0 |
Dari | 0 | 0 | 0 | 0 | 0 | 0 | 1,515 | 770 | 740 | 0 | 0 | 0 |
Iranian Persian | 0 | 0 | 0 | 0 | 0 | 0 | 19,455 | 9,730 | 9,725 | 0 | 0 | 0 |
Persian (Farsi), n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 2,395 | 1,220 | 1,180 | 0 | 0 | 0 |
Iranian languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 115 | 60 | 50 | 0 | 0 | 0 |
Indo-Iranian languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 85 | 50 | 40 | 0 | 0 | 0 |
Italic (Romance) languages | 165 | 75 | 85 | 95 | 45 | 50 | 324,695 | 154,360 | 170,340 | 55 | 15 | 40 |
Catalan | 0 | 0 | 0 | 0 | 0 | 0 | 780 | 445 | 335 | 0 | 0 | 0 |
Italian | 95 | 45 | 50 | 30 | 20 | 10 | 107,285 | 51,300 | 55,985 | 40 | 10 | 30 |
Portuguese | 0 | 0 | 0 | 0 | 0 | 0 | 31,125 | 15,545 | 15,585 | 0 | 0 | 0 |
Romanian | 0 | 0 | 0 | 20 | 15 | 0 | 18,785 | 8,935 | 9,850 | 0 | 0 | 0 |
Spanish | 80 | 40 | 40 | 40 | 10 | 20 | 193,835 | 91,345 | 102,490 | 0 | 0 | 0 |
Italic (Romance) languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 475 | 265 | 210 | 0 | 0 | 0 |
Indo-European languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 135 | 80 | 60 | 0 | 0 | 0 |
Japanese | 0 | 0 | 0 | 0 | 0 | 0 | 5,275 | 2,525 | 2,755 | 0 | 0 | 0 |
Korean | 0 | 0 | 0 | 0 | 0 | 0 | 6,420 | 2,780 | 3,645 | 0 | 0 | 0 |
Mongolian | 0 | 0 | 0 | 0 | 0 | 0 | 240 | 85 | 155 | 0 | 0 | 0 |
Niger-Congo languages | 0 | 0 | 0 | 0 | 0 | 0 | 33,295 | 16,860 | 16,435 | 40 | 20 | 20 |
Akan (Twi) | 0 | 0 | 0 | 0 | 0 | 0 | 1,650 | 895 | 750 | 0 | 0 | 0 |
Bamanankan | 0 | 0 | 0 | 0 | 0 | 0 | 1,595 | 805 | 785 | 0 | 0 | 0 |
Edo | 0 | 0 | 0 | 0 | 0 | 0 | 260 | 125 | 135 | 0 | 0 | 0 |
Éwé | 0 | 0 | 0 | 0 | 0 | 0 | 960 | 560 | 400 | 0 | 0 | 0 |
Fulah (Pular, Pulaar, Fulfulde) | 0 | 0 | 0 | 0 | 0 | 0 | 2,810 | 1,525 | 1,285 | 0 | 0 | 0 |
Ga | 0 | 0 | 0 | 0 | 0 | 0 | 255 | 165 | 90 | 0 | 0 | 0 |
Ganda | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 45 | 30 | 0 | 0 | 0 |
Gikuyu | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 0 | 40 | 0 | 0 | 0 |
Igbo | 0 | 0 | 0 | 0 | 0 | 0 | 535 | 310 | 225 | 0 | 0 | 0 |
Kinyarwanda (Rwanda) | 0 | 0 | 0 | 0 | 0 | 0 | 1,925 | 910 | 1,020 | 0 | 0 | 0 |
Lingala | 0 | 0 | 0 | 0 | 0 | 0 | 7,490 | 3,495 | 3,995 | 0 | 0 | 0 |
Luba-Kasai | 0 | 0 | 0 | 0 | 0 | 0 | 540 | 235 | 300 | 0 | 0 | 0 |
Mòoré | 0 | 0 | 0 | 0 | 0 | 0 | 635 | 345 | 285 | 0 | 0 | 0 |
Mwani | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 15 | 10 | 0 | 0 | 0 |
Ndebele | 0 | 0 | 0 | 0 | 0 | 0 | 125 | 75 | 45 | 0 | 0 | 0 |
Rundi (Kirundi) | 0 | 0 | 0 | 0 | 0 | 0 | 2,130 | 1,030 | 1,100 | 0 | 0 | 0 |
Shona | 0 | 0 | 0 | 0 | 0 | 0 | 270 | 170 | 100 | 0 | 0 | 0 |
Soninke | 0 | 0 | 0 | 0 | 0 | 0 | 465 | 310 | 155 | 0 | 0 | 0 |
Sotho-Tswana languages | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 25 | 35 | 0 | 0 | 0 |
Swahili | 0 | 0 | 0 | 0 | 0 | 0 | 3,575 | 1,800 | 1,780 | 15 | 10 | 10 |
Wojenaka | 0 | 0 | 0 | 0 | 0 | 0 | 1,005 | 510 | 495 | 0 | 0 | 0 |
Wolof | 0 | 0 | 0 | 0 | 0 | 0 | 4,145 | 2,255 | 1,890 | 0 | 0 | 0 |
Yoruba | 0 | 0 | 0 | 0 | 0 | 0 | 2,295 | 1,145 | 1,150 | 0 | 0 | 0 |
Niger-Congo languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 7,345 | 3,800 | 3,545 | 0 | 0 | 0 |
Nilo-Saharan languages | 0 | 0 | 0 | 0 | 0 | 0 | 725 | 400 | 320 | 0 | 0 | 0 |
Dinka | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 0 | 0 |
Nuer | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Nilo-Saharan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 710 | 400 | 315 | 0 | 0 | 0 |
African, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 435 | 230 | 205 | 0 | 0 | 0 |
Sign languages | 0 | 0 | 0 | 0 | 0 | 0 | 2,170 | 895 | 1,280 | 0 | 0 | 0 |
American Sign Language | 0 | 0 | 0 | 0 | 0 | 0 | 635 | 230 | 405 | 0 | 0 | 0 |
Quebec Sign Language | 0 | 0 | 0 | 0 | 0 | 0 | 1,370 | 530 | 845 | 0 | 0 | 0 |
Sign languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 360 | 230 | 135 | 0 | 0 | 0 |
Sino-Tibetan languages | 0 | 0 | 0 | 15 | 10 | 10 | 68,485 | 31,760 | 36,720 | 20 | 10 | 10 |
Chinese languages | 0 | 0 | 0 | 15 | 10 | 10 | 68,285 | 31,685 | 36,595 | 20 | 10 | 10 |
Hakka | 0 | 0 | 0 | 0 | 0 | 0 | 445 | 220 | 225 | 0 | 0 | 0 |
Mandarin | 0 | 0 | 0 | 15 | 10 | 10 | 51,885 | 23,845 | 28,040 | 20 | 10 | 10 |
Min Dong | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 20 | 20 | 0 | 0 | 0 |
Min Nan (Chaochow, Teochow, Fukien, Taiwanese) | 0 | 0 | 0 | 0 | 0 | 0 | 2,965 | 1,270 | 1,690 | 0 | 0 | 0 |
Wu (Shanghainese) | 0 | 0 | 0 | 0 | 0 | 0 | 850 | 385 | 465 | 0 | 0 | 0 |
Yue (Cantonese) | 0 | 0 | 0 | 0 | 0 | 0 | 21,115 | 9,630 | 11,485 | 0 | 0 | 0 |
Chinese, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 955 | 505 | 450 | 0 | 0 | 0 |
Chinese languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 130 | 60 | 60 | 0 | 0 | 0 |
Tibeto-Burman languages | 0 | 0 | 0 | 0 | 0 | 0 | 195 | 65 | 125 | 0 | 0 | 0 |
Burmese | 0 | 0 | 0 | 0 | 0 | 0 | 75 | 10 | 65 | 0 | 0 | 0 |
Kuki-Chin languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Karenic languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
S'gaw Karen | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Karenic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tibetan | 0 | 0 | 0 | 0 | 0 | 0 | 95 | 50 | 50 | 0 | 0 | 0 |
Tibeto-Burman languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 10 | 0 | 0 | 0 |
Sino-Tibetan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 70 | 40 | 30 | 0 | 0 | 0 |
Tai-Kadai languages | 0 | 0 | 0 | 0 | 0 | 0 | 2,870 | 1,280 | 1,585 | 0 | 0 | 0 |
Lao | 0 | 0 | 0 | 0 | 0 | 0 | 2,040 | 990 | 1,055 | 0 | 0 | 0 |
Thai | 0 | 0 | 0 | 0 | 0 | 0 | 1,140 | 415 | 725 | 0 | 0 | 0 |
Tai-Kadai languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 15 | 25 | 0 | 0 | 0 |
Turkic languages | 0 | 0 | 0 | 0 | 0 | 0 | 10,550 | 5,185 | 5,370 | 0 | 0 | 0 |
Azerbaijani | 0 | 0 | 0 | 0 | 0 | 0 | 655 | 390 | 260 | 0 | 0 | 0 |
Kazakh | 0 | 0 | 0 | 0 | 0 | 0 | 70 | 40 | 30 | 0 | 0 | 0 |
Turkish | 0 | 0 | 0 | 0 | 0 | 0 | 9,540 | 4,630 | 4,905 | 0 | 0 | 0 |
Uyghur | 0 | 0 | 0 | 0 | 0 | 0 | 225 | 105 | 125 | 0 | 0 | 0 |
Uzbek | 0 | 0 | 0 | 0 | 0 | 0 | 190 | 105 | 85 | 0 | 0 | 0 |
Turkic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 245 | 110 | 135 | 0 | 0 | 0 |
Uralic languages | 0 | 0 | 0 | 0 | 0 | 0 | 4,620 | 2,020 | 2,600 | 0 | 0 | 0 |
Estonian | 0 | 0 | 0 | 0 | 0 | 0 | 175 | 70 | 110 | 0 | 0 | 0 |
Finnish | 0 | 0 | 0 | 0 | 0 | 0 | 320 | 145 | 170 | 0 | 0 | 0 |
Hungarian | 0 | 0 | 0 | 0 | 0 | 0 | 4,130 | 1,805 | 2,325 | 0 | 0 | 0 |
Other languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 450 | 230 | 220 | 0 | 0 | 0 |
Indigenous population | ||||||||||||
Total - Indigenous identity for the population in private households - 25% sample data44 | 530 | 265 | 270 | 850 | 415 | 430 | 1,959,355 | 965,675 | 993,685 | 485 | 230 | 245 |
Indigenous identity45 | 0 | 0 | 0 | 15 | 0 | 15 | 16,675 | 7,720 | 8,955 | 10 | 0 | 0 |
Single Indigenous responses46 | 0 | 0 | 0 | 10 | 0 | 10 | 15,520 | 7,185 | 8,335 | 10 | 0 | 0 |
First Nations (North American Indian) | 0 | 0 | 0 | 0 | 0 | 0 | 8,745 | 3,955 | 4,795 | 0 | 0 | 0 |
Métis | 0 | 0 | 0 | 0 | 0 | 0 | 6,085 | 3,020 | 3,065 | 0 | 0 | 0 |
Inuk (Inuit) | 0 | 0 | 0 | 0 | 0 | 0 | 685 | 210 | 475 | 0 | 0 | 0 |
Multiple Indigenous responses47 | 0 | 0 | 0 | 0 | 0 | 0 | 355 | 165 | 185 | 0 | 0 | 0 |
Indigenous responses not included elsewhere48 | 0 | 0 | 0 | 0 | 0 | 0 | 800 | 365 | 435 | 0 | 0 | 0 |
Non-Indigenous identity | 530 | 260 | 270 | 830 | 415 | 415 | 1,942,680 | 957,955 | 984,730 | 475 | 230 | 245 |
Total - Registered or Treaty Indian status for the population in private households - 25% sample data44 | 530 | 265 | 270 | 850 | 415 | 430 | 1,959,355 | 965,675 | 993,685 | 485 | 230 | 245 |
Registered or Treaty Indian49 | 0 | 0 | 0 | 0 | 0 | 0 | 3,805 | 1,730 | 2,070 | 0 | 0 | 0 |
Not a Registered or Treaty Indian | 530 | 265 | 270 | 840 | 415 | 420 | 1,955,555 | 963,940 | 991,615 | 485 | 230 | 245 |
Household characteristics | ||||||||||||
Total - Private households by tenure - 25% sample data50 | 165 | ... | ... | 320 | ... | ... | 910,360 | ... | ... | 205 | ... | ... |
Owner | 130 | ... | ... | 315 | ... | ... | 360,125 | ... | ... | 65 | ... | ... |
Renter | 30 | ... | ... | 0 | ... | ... | 550,240 | ... | ... | 140 | ... | ... |
Dwelling provided by the local government, First Nation or Indian band | 0 | ... | ... | 0 | ... | ... | 0 | ... | ... | 0 | ... | ... |
Total - Occupied private dwellings by condominium status - 25% sample data51 | 165 | ... | ... | 320 | ... | ... | 910,360 | ... | ... | 205 | ... | ... |
Condominium | 0 | ... | ... | 0 | ... | ... | 192,985 | ... | ... | 0 | ... | ... |
Not condominium | 155 | ... | ... | 320 | ... | ... | 717,375 | ... | ... | 205 | ... | ... |
Total - Occupied private dwellings by number of bedrooms - 25% sample data52 | 165 | ... | ... | 320 | ... | ... | 910,360 | ... | ... | 205 | ... | ... |
No bedrooms | 0 | ... | ... | 0 | ... | ... | 19,730 | ... | ... | 10 | ... | ... |
1 bedroom | 0 | ... | ... | 0 | ... | ... | 267,715 | ... | ... | 35 | ... | ... |
2 bedrooms | 20 | ... | ... | 30 | ... | ... | 303,875 | ... | ... | 25 | ... | ... |
3 bedrooms | 70 | ... | ... | 120 | ... | ... | 220,945 | ... | ... | 120 | ... | ... |
4 or more bedrooms | 65 | ... | ... | 165 | ... | ... | 98,090 | ... | ... | 15 | ... | ... |
Total - Occupied private dwellings by number of rooms - 25% sample data53 | 165 | ... | ... | 320 | ... | ... | 910,360 | ... | ... | 205 | ... | ... |
1 to 4 rooms | 20 | ... | ... | 15 | ... | ... | 501,570 | ... | ... | 55 | ... | ... |
5 rooms | 45 | ... | ... | 25 | ... | ... | 166,230 | ... | ... | 110 | ... | ... |
6 rooms | 25 | ... | ... | 55 | ... | ... | 78,495 | ... | ... | 10 | ... | ... |
7 rooms | 30 | ... | ... | 70 | ... | ... | 58,850 | ... | ... | 15 | ... | ... |
8 or more rooms | 35 | ... | ... | 165 | ... | ... | 105,210 | ... | ... | 10 | ... | ... |
Average number of rooms per dwelling | 6.4 | ... | ... | 7.7 | ... | ... | 4.7 | ... | ... | 4.8 | ... | ... |
Total - Private households by number of persons per room - 25% sample data54 | 165 | ... | ... | 320 | ... | ... | 910,360 | ... | ... | 205 | ... | ... |
One person or fewer per room | 155 | ... | ... | 320 | ... | ... | 881,730 | ... | ... | 190 | ... | ... |
More than one person per room | 10 | ... | ... | 0 | ... | ... | 28,630 | ... | ... | 10 | ... | ... |
Total - Private households by housing suitability - 25% sample data55 | 165 | ... | ... | 320 | ... | ... | 910,360 | ... | ... | 205 | ... | ... |
Suitable | 140 | ... | ... | 310 | ... | ... | 834,885 | ... | ... | 185 | ... | ... |
Not suitable | 20 | ... | ... | 10 | ... | ... | 75,475 | ... | ... | 15 | ... | ... |
Total - Occupied private dwellings by period of construction - 25% sample data56 | 165 | ... | ... | 320 | ... | ... | 910,360 | ... | ... | 205 | ... | ... |
1960 or before | 25 | ... | ... | 90 | ... | ... | 325,005 | ... | ... | 30 | ... | ... |
1961 to 1980 | 55 | ... | ... | 160 | ... | ... | 282,605 | ... | ... | 155 | ... | ... |
1981 to 1990 | 40 | ... | ... | 50 | ... | ... | 101,185 | ... | ... | 0 | ... | ... |
1991 to 2000 | 25 | ... | ... | 0 | ... | ... | 63,765 | ... | ... | 10 | ... | ... |
2001 to 2005 | 0 | ... | ... | 10 | ... | ... | 32,020 | ... | ... | 0 | ... | ... |
2006 to 2010 | 0 | ... | ... | 0 | ... | ... | 32,875 | ... | ... | 0 | ... | ... |
2011 to 2015 | 15 | ... | ... | 10 | ... | ... | 35,320 | ... | ... | 0 | ... | ... |
2016 to 202157 | 0 | ... | ... | 0 | ... | ... | 37,590 | ... | ... | 0 | ... | ... |
Total - Occupied private dwellings by dwelling condition - 25% sample data58 | 165 | ... | ... | 320 | ... | ... | 910,360 | ... | ... | 205 | ... | ... |
Only regular maintenance and minor repairs needed | 145 | ... | ... | 300 | ... | ... | 833,540 | ... | ... | 200 | ... | ... |
Major repairs needed | 15 | ... | ... | 20 | ... | ... | 76,815 | ... | ... | 0 | ... | ... |
Total - Private households by number of household maintainers - 25% sample data59 | 165 | ... | ... | 320 | ... | ... | 910,360 | ... | ... | 205 | ... | ... |
One-maintainer household | 65 | ... | ... | 140 | ... | ... | 543,605 | ... | ... | 105 | ... | ... |
Two-maintainer household | 80 | ... | ... | 150 | ... | ... | 333,140 | ... | ... | 80 | ... | ... |
Three-or-more-maintainer household | 15 | ... | ... | 30 | ... | ... | 33,620 | ... | ... | 15 | ... | ... |
Total - Private households by age of primary household maintainers - 25% sample data60 | 165 | ... | ... | 320 | ... | ... | 910,360 | ... | ... | 205 | ... | ... |
15 to 24 years | 0 | ... | ... | 10 | ... | ... | 40,960 | ... | ... | 10 | ... | ... |
25 to 34 years | 0 | ... | ... | 25 | ... | ... | 162,375 | ... | ... | 20 | ... | ... |
35 to 44 years | 30 | ... | ... | 45 | ... | ... | 171,535 | ... | ... | 50 | ... | ... |
45 to 54 years | 45 | ... | ... | 50 | ... | ... | 155,520 | ... | ... | 25 | ... | ... |
55 to 64 years | 40 | ... | ... | 100 | ... | ... | 156,865 | ... | ... | 30 | ... | ... |
65 to 74 years | 30 | ... | ... | 55 | ... | ... | 122,825 | ... | ... | 30 | ... | ... |
75 to 84 years | 10 | ... | ... | 35 | ... | ... | 70,345 | ... | ... | 25 | ... | ... |
85 years and over | 0 | ... | ... | 0 | ... | ... | 29,930 | ... | ... | 15 | ... | ... |
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 data61 | 160 | ... | ... | 320 | ... | ... | 902,485 | ... | ... | 200 | ... | ... |
Spending less than 30% of income on shelter costs | 145 | ... | ... | 255 | ... | ... | 686,075 | ... | ... | 185 | ... | ... |
Spending 30% or more of income on shelter costs | 20 | ... | ... | 65 | ... | ... | 216,410 | ... | ... | 20 | ... | ... |
30% to less than 100% | 15 | ... | ... | 55 | ... | ... | 189,795 | ... | ... | 20 | ... | ... |
Total - Occupied private dwellings by housing indicators - 25% sample data62 | 160 | ... | ... | 320 | ... | ... | 910,360 | ... | ... | 200 | ... | ... |
Total - Households 'spending 30% or more of income on shelter costs' or 'not suitable' or 'major repairs needed' | 45 | ... | ... | 80 | ... | ... | 330,635 | ... | ... | 35 | ... | ... |
Spending 30% or more of income on shelter costs only | 20 | ... | ... | 55 | ... | ... | 186,350 | ... | ... | 20 | ... | ... |
Not suitable only | 20 | ... | ... | 0 | ... | ... | 56,480 | ... | ... | 15 | ... | ... |
Major repairs needed only | 10 | ... | ... | 0 | ... | ... | 50,745 | ... | ... | 0 | ... | ... |
'Spending 30% or more of income on shelter costs' and 'not suitable' | 0 | ... | ... | 0 | ... | ... | 10,995 | ... | ... | 0 | ... | ... |
'Spending 30% or more of income on shelter costs' and 'major repairs needed' | 0 | ... | ... | 15 | ... | ... | 18,075 | ... | ... | 0 | ... | ... |
'Not suitable' and 'major repairs needed' | 0 | ... | ... | 0 | ... | ... | 7,005 | ... | ... | 0 | ... | ... |
'Spending 30% or more of income on shelter costs' and 'not suitable' and 'major repairs needed' | 0 | ... | ... | 0 | ... | ... | 995 | ... | ... | 0 | ... | ... |
Acceptable housing | 115 | ... | ... | 240 | ... | ... | 579,720 | ... | ... | 165 | ... | ... |
Total - Owner and tenant households with household total income greater than zero and shelter-cost-to-income ratio less than 100%, in non-farm, non-reserve private dwellings - 25% sample data63 | 155 | ... | ... | 310 | ... | ... | 875,865 | ... | ... | 200 | ... | ... |
In core need | 0 | ... | ... | 0 | ... | ... | 87,945 | ... | ... | 20 | ... | ... |
Not in core need | 150 | ... | ... | 300 | ... | ... | 787,925 | ... | ... | 180 | ... | ... |
Total - Owner households in non-farm, non-reserve private dwellings - 25% sample data | 130 | ... | ... | 310 | ... | ... | 360,120 | ... | ... | 60 | ... | ... |
% of owner households with a mortgage64 | 76.9 | ... | ... | 59.7 | ... | ... | 60.0 | ... | ... | 58.3 | ... | ... |
% of owner households spending 30% or more of its income on shelter costs61 | 0.0 | ... | ... | 19.4 | ... | ... | 17.4 | ... | ... | 0.0 | ... | ... |
% in core housing need63 | 0.0 | ... | ... | 0.0 | ... | ... | 3.3 | ... | ... | 0.0 | ... | ... |
Median monthly shelter costs for owned dwellings ($)65 | 1,440 | ... | ... | 1,380 | ... | ... | 1,370 | ... | ... | 1,200 | ... | ... |
Average monthly shelter costs for owned dwellings ($)65 | 1,460 | ... | ... | 1,480 | ... | ... | 1,572 | ... | ... | 1,520 | ... | ... |
Median value of dwellings ($)66 | 400,000 | ... | ... | 500,000 | ... | ... | 544,000 | ... | ... | 600,000 | ... | ... |
Average value of dwellings ($)66 | 420,000 | ... | ... | 576,000 | ... | ... | 638,000 | ... | ... | 620,000 | ... | ... |
Total - Tenant households in non-farm, non-reserve private dwellings - 25% sample data | 30 | ... | ... | 0 | ... | ... | 550,235 | ... | ... | 140 | ... | ... |
% of tenant households in subsidized housing67 | 0.0 | ... | ... | ... | ... | ... | 8.4 | ... | ... | 0.0 | ... | ... |
% of tenant households spending 30% or more of its income on shelter costs61 | 0.0 | ... | ... | ... | ... | ... | 28.4 | ... | ... | 0.0 | ... | ... |
% in core housing need63 | 0.0 | ... | ... | ... | ... | ... | 14.6 | ... | ... | 0.0 | ... | ... |
Median monthly shelter costs for rented dwellings ($)65 | x | ... | ... | x | ... | ... | 890 | ... | ... | 930 | ... | ... |
Average monthly shelter costs for rented dwellings ($)65 | 900 | ... | ... | x | ... | ... | 987 | ... | ... | 940 | ... | ... |
Total - Households living in a dwelling provided by the local government, First Nation or Indian band in non-farm private dwellings - 25% sample data | 0 | ... | ... | 0 | ... | ... | 0 | ... | ... | 0 | ... | ... |
% of households living in a dwelling provided by the local government, First Nation or Indian band spending more than 30% on shelter costs61 | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
Median monthly shelter costs for dwellings provided by local government, First Nation or Indian band ($)65 | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
Average monthly shelter costs for dwellings provided by local government, First Nation or Indian band ($)65 | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
Indigenous ancestry | ||||||||||||
Total - Indigenous ancestry for the population in private households - 25% sample data68 | 530 | 260 | 265 | 850 | 415 | 430 | 1,959,360 | 965,670 | 993,685 | 485 | 235 | 250 |
Indigenous ancestry (only)69 | 0 | 0 | 0 | 0 | 0 | 0 | 9,035 | 3,985 | 5,050 | 0 | 0 | 0 |
Single Indigenous ancestry (only)70 | 0 | 0 | 0 | 0 | 0 | 0 | 8,845 | 3,910 | 4,935 | 0 | 0 | 0 |
First Nations (North American Indian) single ancestry | 0 | 0 | 0 | 0 | 0 | 0 | 7,485 | 3,365 | 4,125 | 0 | 0 | 0 |
Métis single ancestry | 0 | 0 | 0 | 0 | 0 | 0 | 930 | 400 | 530 | 0 | 0 | 0 |
Inuit single ancestry | 0 | 0 | 0 | 0 | 0 | 0 | 430 | 145 | 280 | 0 | 0 | 0 |
Multiple Indigenous ancestries (only)71 | 0 | 0 | 0 | 0 | 0 | 0 | 195 | 75 | 115 | 0 | 0 | 0 |
First Nations (North American Indian) and Métis ancestry only | 0 | 0 | 0 | 0 | 0 | 0 | 90 | 45 | 45 | 0 | 0 | 0 |
First Nations (North American Indian) and Inuit ancestry only | 0 | 0 | 0 | 0 | 0 | 0 | 95 | 25 | 70 | 0 | 0 | 0 |
Métis and Inuit ancestry only | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 0 | 0 | 0 |
First Nations (North American Indian) and Métis and Inuit ancestry only | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Indigenous and non-Indigenous ancestries72 | 0 | 0 | 0 | 15 | 10 | 0 | 30,345 | 13,805 | 16,540 | 20 | 15 | 10 |
Single Indigenous and non-Indigenous ancestries73 | 0 | 0 | 0 | 15 | 10 | 0 | 30,095 | 13,720 | 16,370 | 20 | 15 | 10 |
First Nations (North American Indian) and non-Indigenous ancestry only | 0 | 0 | 0 | 0 | 0 | 0 | 27,000 | 12,340 | 14,660 | 0 | 0 | 0 |
Métis and non-Indigenous ancestry only | 0 | 0 | 0 | 0 | 0 | 0 | 2,710 | 1,265 | 1,450 | 0 | 0 | 0 |
Inuit and non-Indigenous ancestry only | 0 | 0 | 0 | 0 | 0 | 0 | 380 | 115 | 260 | 0 | 0 | 0 |
Multiple Indigenous and non-Indigenous ancestries74 | 0 | 0 | 0 | 0 | 0 | 0 | 250 | 80 | 175 | 0 | 0 | 0 |
First Nations (North American Indian) and Métis and non-Indigenous ancestry only | 0 | 0 | 0 | 0 | 0 | 0 | 215 | 70 | 145 | 0 | 0 | 0 |
First Nations (North American Indian) and Inuit and non-Indigenous ancestry only | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 15 | 0 | 0 | 0 |
Métis and Inuit and non-Indigenous ancestry only | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
First Nations (North American Indian) and Métis and Inuit and non-Indigenous ancestry only | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0 | 15 | 0 | 0 | 0 |
Non-Indigenous ancestry only75 | 525 | 260 | 265 | 820 | 405 | 415 | 1,919,975 | 947,880 | 972,095 | 460 | 220 | 240 |
Citizenship | ||||||||||||
Total - Citizenship for the population in private households - 25% sample data76 | 530 | 265 | 265 | 845 | 420 | 430 | 1,959,355 | 965,670 | 993,690 | 480 | 235 | 250 |
Canadian citizens77 | 520 | 260 | 260 | 805 | 390 | 415 | 1,645,945 | 805,140 | 840,805 | 410 | 205 | 210 |
Canadian citizens aged under 18 | 105 | 65 | 50 | 135 | 70 | 65 | 322,965 | 164,980 | 157,985 | 95 | 40 | 55 |
Canadian citizens aged 18 and over | 415 | 195 | 220 | 670 | 320 | 350 | 1,322,980 | 640,160 | 682,820 | 315 | 160 | 150 |
Not Canadian citizens78 | 0 | 0 | 0 | 45 | 25 | 15 | 313,410 | 160,530 | 152,885 | 75 | 35 | 45 |
Immigrant status and period of immigration | ||||||||||||
Total - Immigrant status and period of immigration for the population in private households - 25% sample data79 | 530 | 265 | 265 | 845 | 420 | 430 | 1,959,355 | 965,670 | 993,690 | 480 | 235 | 250 |
Non-immigrants80 | 360 | 170 | 190 | 520 | 250 | 265 | 1,168,390 | 576,340 | 592,055 | 275 | 135 | 140 |
Immigrants81 | 170 | 90 | 80 | 330 | 165 | 165 | 652,730 | 313,955 | 338,770 | 190 | 90 | 100 |
Before 1980 | 45 | 25 | 20 | 55 | 20 | 35 | 108,265 | 50,530 | 57,735 | 25 | 15 | 10 |
1980 to 1990 | 30 | 10 | 15 | 65 | 30 | 40 | 69,695 | 34,150 | 35,545 | 15 | 10 | 0 |
1991 to 2000 | 60 | 25 | 35 | 35 | 15 | 15 | 106,810 | 50,520 | 56,290 | 20 | 10 | 10 |
2001 to 2010 | 25 | 15 | 15 | 105 | 60 | 45 | 154,780 | 74,520 | 80,255 | 70 | 35 | 35 |
2011 to 202182 | 15 | 15 | 0 | 65 | 40 | 30 | 213,175 | 104,225 | 108,950 | 60 | 25 | 40 |
2011 to 2015 | 10 | 10 | 0 | 30 | 10 | 20 | 99,070 | 48,005 | 51,065 | 30 | 15 | 15 |
2016 to 2021 | 0 | 0 | 0 | 40 | 25 | 15 | 114,110 | 56,220 | 57,885 | 35 | 15 | 25 |
Non-permanent residents83 | 0 | 0 | 0 | 0 | 0 | 0 | 138,240 | 75,380 | 62,860 | 20 | 10 | 15 |
Age at immigration | ||||||||||||
Total - Age at immigration for the immigrant population in private households - 25% sample data84 | 170 | 95 | 80 | 330 | 165 | 165 | 652,725 | 313,955 | 338,770 | 195 | 90 | 100 |
Under 5 years | 0 | 0 | 0 | 25 | 15 | 10 | 52,990 | 26,810 | 26,180 | 15 | 0 | 15 |
5 to 14 years | 65 | 50 | 20 | 65 | 30 | 30 | 103,285 | 51,965 | 51,320 | 45 | 20 | 30 |
15 to 24 years | 45 | 10 | 40 | 75 | 45 | 25 | 118,475 | 53,035 | 65,440 | 35 | 15 | 20 |
25 to 44 years | 55 | 30 | 25 | 145 | 65 | 85 | 326,320 | 158,620 | 167,700 | 80 | 45 | 35 |
45 years and over | 0 | 0 | 0 | 25 | 10 | 15 | 51,660 | 23,520 | 28,140 | 15 | 10 | 0 |
Selected places of birth for the immigrant population | ||||||||||||
Total - Place of birth for the immigrant population in private households - 25% sample data85 | 170 | 95 | 80 | 330 | 165 | 165 | 652,725 | 313,955 | 338,770 | 195 | 90 | 100 |
Americas | 125 | 70 | 55 | 35 | 25 | 15 | 137,955 | 63,465 | 74,485 | 30 | 20 | 15 |
Brazil | 0 | 0 | 0 | 0 | 0 | 0 | 4,275 | 1,995 | 2,280 | 0 | 0 | 0 |
Colombia | 0 | 0 | 0 | 0 | 0 | 0 | 8,885 | 4,105 | 4,780 | 0 | 0 | 0 |
El Salvador | 10 | 0 | 0 | 0 | 0 | 0 | 6,600 | 3,365 | 3,235 | 0 | 0 | 0 |
Guyana | 0 | 0 | 0 | 0 | 0 | 0 | 1,675 | 780 | 895 | 0 | 0 | 0 |
Haiti | 90 | 55 | 40 | 15 | 15 | 0 | 48,570 | 21,555 | 27,015 | 10 | 10 | 0 |
Jamaica | 0 | 0 | 0 | 0 | 0 | 0 | 3,280 | 1,315 | 1,965 | 0 | 0 | 0 |
Mexico | 0 | 0 | 0 | 0 | 0 | 0 | 8,940 | 4,350 | 4,585 | 0 | 0 | 0 |
Peru | 0 | 0 | 0 | 0 | 0 | 0 | 7,165 | 3,245 | 3,925 | 0 | 0 | 0 |
Trinidad and Tobago | 0 | 0 | 0 | 0 | 0 | 0 | 2,640 | 1,160 | 1,475 | 0 | 0 | 0 |
United States of America | 0 | 0 | 0 | 10 | 0 | 10 | 12,515 | 6,350 | 6,170 | 0 | 0 | 0 |
Other places of birth in Americas | 0 | 0 | 0 | 10 | 0 | 0 | 33,410 | 15,245 | 18,160 | 0 | 0 | 0 |
Europe | 35 | 25 | 10 | 115 | 55 | 60 | 158,795 | 76,610 | 82,190 | 35 | 20 | 15 |
Bosnia and Herzegovina | 0 | 0 | 0 | 0 | 0 | 0 | 850 | 430 | 420 | 0 | 0 | 0 |
Croatia | 0 | 0 | 0 | 0 | 0 | 0 | 915 | 475 | 440 | 0 | 0 | 0 |
France | 0 | 0 | 0 | 10 | 0 | 0 | 42,245 | 22,305 | 19,935 | 0 | 0 | 0 |
Germany | 0 | 0 | 0 | 0 | 0 | 0 | 3,715 | 1,740 | 1,975 | 0 | 0 | 0 |
Greece | 0 | 0 | 0 | 0 | 0 | 0 | 8,650 | 3,920 | 4,725 | 0 | 0 | 0 |
Hungary | 0 | 0 | 0 | 0 | 0 | 0 | 1,990 | 935 | 1,060 | 0 | 0 | 0 |
Italy | 35 | 25 | 10 | 0 | 0 | 0 | 32,485 | 15,325 | 17,165 | 0 | 0 | 0 |
Netherlands | 0 | 0 | 0 | 0 | 0 | 0 | 700 | 420 | 285 | 0 | 0 | 0 |
Poland | 0 | 0 | 0 | 0 | 0 | 0 | 6,030 | 2,545 | 3,485 | 0 | 0 | 0 |
Portugal | 0 | 0 | 0 | 0 | 0 | 0 | 8,140 | 3,720 | 4,425 | 0 | 0 | 0 |
Romania | 0 | 0 | 0 | 0 | 0 | 0 | 11,970 | 5,495 | 6,470 | 0 | 0 | 0 |
Russian Federation | 0 | 0 | 0 | 20 | 0 | 15 | 7,050 | 2,865 | 4,180 | 0 | 0 | 0 |
Serbia86 | 0 | 0 | 0 | 0 | 0 | 0 | 845 | 410 | 435 | 0 | 0 | 0 |
Ukraine | 0 | 0 | 0 | 20 | 10 | 10 | 5,385 | 2,345 | 3,035 | 0 | 0 | 0 |
United Kingdom87 | 0 | 0 | 0 | 0 | 0 | 0 | 6,620 | 3,570 | 3,050 | 0 | 0 | 0 |
Other places of birth in Europe | 0 | 0 | 0 | 40 | 30 | 15 | 21,205 | 10,115 | 11,095 | 0 | 0 | 0 |
Africa | 0 | 0 | 0 | 30 | 15 | 20 | 152,205 | 77,515 | 74,690 | 70 | 35 | 35 |
Algeria | 0 | 0 | 0 | 0 | 0 | 0 | 44,925 | 23,280 | 21,640 | 0 | 0 | 0 |
Congo, Democratic Republic of the | 0 | 0 | 0 | 0 | 0 | 0 | 6,190 | 2,855 | 3,335 | 10 | 0 | 10 |
Egypt | 0 | 0 | 0 | 10 | 10 | 0 | 12,245 | 6,195 | 6,045 | 0 | 0 | 0 |
Eritrea | 0 | 0 | 0 | 0 | 0 | 0 | 500 | 250 | 250 | 0 | 0 | 0 |
Ethiopia | 0 | 0 | 0 | 0 | 0 | 0 | 750 | 345 | 400 | 0 | 0 | 0 |
Morocco | 0 | 0 | 0 | 0 | 0 | 0 | 37,215 | 18,545 | 18,670 | 0 | 0 | 0 |
Nigeria | 0 | 0 | 0 | 0 | 0 | 0 | 1,435 | 770 | 660 | 0 | 0 | 0 |
Somalia | 0 | 0 | 0 | 0 | 0 | 0 | 405 | 205 | 205 | 0 | 0 | 0 |
South Africa, Republic of | 0 | 0 | 0 | 0 | 0 | 0 | 585 | 360 | 225 | 0 | 0 | 0 |
Other places of birth in Africa | 0 | 0 | 0 | 15 | 10 | 10 | 47,960 | 24,705 | 23,260 | 60 | 35 | 25 |
Asia | 0 | 0 | 0 | 140 | 75 | 70 | 202,715 | 95,775 | 106,935 | 55 | 25 | 35 |
Afghanistan | 0 | 0 | 0 | 0 | 0 | 0 | 1,250 | 630 | 625 | 0 | 0 | 0 |
Iran88 | 0 | 0 | 0 | 0 | 0 | 0 | 13,990 | 6,835 | 7,160 | 0 | 0 | 0 |
Iraq | 0 | 0 | 0 | 0 | 0 | 0 | 2,140 | 1,125 | 1,020 | 0 | 0 | 0 |
Lebanon | 0 | 0 | 0 | 50 | 30 | 25 | 20,215 | 10,625 | 9,585 | 0 | 0 | 0 |
Syria89 | 0 | 0 | 0 | 0 | 0 | 0 | 13,495 | 6,815 | 6,680 | 0 | 0 | 0 |
Turkey | 0 | 0 | 0 | 0 | 0 | 0 | 4,490 | 2,240 | 2,250 | 0 | 0 | 0 |
China90 | 0 | 0 | 0 | 20 | 10 | 10 | 32,815 | 14,710 | 18,100 | 0 | 0 | 0 |
Hong Kong91 | 0 | 0 | 0 | 0 | 0 | 0 | 2,925 | 1,400 | 1,525 | 0 | 0 | 0 |
Korea, South92 | 0 | 0 | 0 | 0 | 0 | 0 | 3,400 | 1,485 | 1,915 | 0 | 0 | 0 |
Taiwan | 0 | 0 | 0 | 0 | 0 | 0 | 1,600 | 660 | 935 | 0 | 0 | 0 |
Philippines | 0 | 0 | 0 | 0 | 0 | 0 | 24,690 | 9,580 | 15,105 | 0 | 0 | 0 |
Viet Nam | 0 | 0 | 0 | 0 | 0 | 0 | 17,570 | 7,995 | 9,575 | 0 | 0 | 0 |
Bangladesh | 0 | 0 | 0 | 0 | 0 | 0 | 7,255 | 3,655 | 3,605 | 0 | 0 | 0 |
India | 0 | 0 | 0 | 0 | 0 | 0 | 17,345 | 8,895 | 8,455 | 40 | 15 | 25 |
Pakistan | 0 | 0 | 0 | 20 | 10 | 0 | 6,560 | 3,485 | 3,075 | 0 | 0 | 0 |
Sri Lanka | 0 | 0 | 0 | 0 | 0 | 0 | 7,850 | 3,865 | 3,990 | 0 | 0 | 0 |
Other places of birth in Asia | 0 | 0 | 0 | 35 | 10 | 20 | 25,115 | 11,780 | 13,335 | 0 | 0 | 0 |
Oceania and other places of birth93 | 0 | 0 | 0 | 0 | 0 | 0 | 1,055 | 585 | 470 | 0 | 0 | 0 |
Selected places of birth for the recent immigrant population | ||||||||||||
Total - Place of birth for the recent immigrant population in private households - 25% sample data94 | 0 | 0 | 0 | 40 | 20 | 15 | 114,110 | 56,220 | 57,885 | 35 | 10 | 20 |
Americas | 0 | 0 | 0 | 0 | 0 | 0 | 16,945 | 8,160 | 8,785 | 0 | 0 | 0 |
Brazil | 0 | 0 | 0 | 0 | 0 | 0 | 1,235 | 515 | 715 | 0 | 0 | 0 |
Colombia | 0 | 0 | 0 | 0 | 0 | 0 | 1,390 | 615 | 775 | 0 | 0 | 0 |
Haiti | 0 | 0 | 0 | 0 | 0 | 0 | 5,550 | 2,740 | 2,815 | 0 | 0 | 0 |
Jamaica | 0 | 0 | 0 | 0 | 0 | 0 | 145 | 80 | 65 | 0 | 0 | 0 |
Mexico | 0 | 0 | 0 | 0 | 0 | 0 | 1,410 | 745 | 665 | 0 | 0 | 0 |
United States of America | 0 | 0 | 0 | 0 | 0 | 0 | 2,625 | 1,380 | 1,245 | 0 | 0 | 0 |
Venezuela95 | 0 | 0 | 0 | 0 | 0 | 0 | 960 | 355 | 600 | 0 | 0 | 0 |
Other places of birth in Americas | 0 | 0 | 0 | 0 | 0 | 0 | 3,620 | 1,715 | 1,905 | 0 | 0 | 0 |
Europe | 0 | 0 | 0 | 0 | 0 | 0 | 19,140 | 9,995 | 9,145 | 0 | 0 | 0 |
France | 0 | 0 | 0 | 0 | 0 | 0 | 12,165 | 6,530 | 5,635 | 0 | 0 | 0 |
Germany | 0 | 0 | 0 | 0 | 0 | 0 | 280 | 150 | 130 | 0 | 0 | 0 |
Ireland96 | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 45 | 10 | 0 | 0 | 0 |
Italy | 0 | 0 | 0 | 0 | 0 | 0 | 450 | 270 | 180 | 0 | 0 | 0 |
Russian Federation | 0 | 0 | 0 | 0 | 0 | 0 | 790 | 295 | 490 | 0 | 0 | 0 |
Ukraine | 0 | 0 | 0 | 0 | 0 | 0 | 850 | 390 | 455 | 0 | 0 | 0 |
United Kingdom87 | 0 | 0 | 0 | 0 | 0 | 0 | 570 | 355 | 220 | 0 | 0 | 0 |
Other places of birth in Europe | 0 | 0 | 0 | 0 | 0 | 0 | 3,985 | 1,955 | 2,030 | 0 | 0 | 0 |
Africa | 0 | 0 | 0 | 0 | 0 | 0 | 36,195 | 17,970 | 18,225 | 10 | 10 | 0 |
Algeria | 0 | 0 | 0 | 0 | 0 | 0 | 10,255 | 5,020 | 5,235 | 0 | 0 | 0 |
Burundi | 0 | 0 | 0 | 0 | 0 | 0 | 740 | 395 | 340 | 0 | 0 | 0 |
Cameroon | 0 | 0 | 0 | 0 | 0 | 0 | 3,675 | 1,795 | 1,880 | 0 | 0 | 0 |
Congo, Democratic Republic of the | 0 | 0 | 0 | 0 | 0 | 0 | 1,515 | 665 | 850 | 0 | 0 | 0 |
Côte d'Ivoire | 0 | 0 | 0 | 0 | 0 | 0 | 1,720 | 855 | 865 | 0 | 0 | 0 |
Egypt | 0 | 0 | 0 | 0 | 0 | 0 | 1,595 | 850 | 750 | 0 | 0 | 0 |
Eritrea | 0 | 0 | 0 | 0 | 0 | 0 | 275 | 145 | 125 | 0 | 0 | 0 |
Ethiopia | 0 | 0 | 0 | 0 | 0 | 0 | 90 | 40 | 45 | 0 | 0 | 0 |
Morocco | 0 | 0 | 0 | 0 | 0 | 0 | 5,600 | 2,640 | 2,965 | 0 | 0 | 0 |
Nigeria | 0 | 0 | 0 | 0 | 0 | 0 | 705 | 400 | 310 | 0 | 0 | 0 |
Somalia | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 25 | 25 | 0 | 0 | 0 |
South Africa, Republic of | 0 | 0 | 0 | 0 | 0 | 0 | 125 | 70 | 55 | 0 | 0 | 0 |
Sudan97 | 0 | 0 | 0 | 0 | 0 | 0 | 85 | 50 | 35 | 0 | 0 | 0 |
Tunisia | 0 | 0 | 0 | 0 | 0 | 0 | 3,510 | 1,820 | 1,695 | 0 | 0 | 0 |
Other places of birth in Africa | 0 | 0 | 0 | 0 | 0 | 0 | 6,265 | 3,205 | 3,060 | 10 | 10 | 0 |
Asia | 0 | 0 | 0 | 35 | 20 | 15 | 41,495 | 19,890 | 21,600 | 25 | 0 | 20 |
Afghanistan | 0 | 0 | 0 | 0 | 0 | 0 | 210 | 105 | 100 | 0 | 0 | 0 |
Bangladesh | 0 | 0 | 0 | 0 | 0 | 0 | 985 | 470 | 515 | 0 | 0 | 0 |
China90 | 0 | 0 | 0 | 0 | 0 | 0 | 6,885 | 3,020 | 3,860 | 0 | 0 | 0 |
Hong Kong91 | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 30 | 55 | 0 | 0 | 0 |
India | 0 | 0 | 0 | 0 | 0 | 0 | 6,325 | 3,365 | 2,960 | 25 | 0 | 20 |
Iran88 | 0 | 0 | 0 | 0 | 0 | 0 | 3,085 | 1,395 | 1,685 | 0 | 0 | 0 |
Iraq | 0 | 0 | 0 | 0 | 0 | 0 | 315 | 180 | 130 | 0 | 0 | 0 |
Israel | 0 | 0 | 0 | 0 | 0 | 0 | 255 | 130 | 125 | 0 | 0 | 0 |
Japan | 0 | 0 | 0 | 0 | 0 | 0 | 190 | 55 | 140 | 0 | 0 | 0 |
Jordan | 0 | 0 | 0 | 0 | 0 | 0 | 405 | 195 | 215 | 0 | 0 | 0 |
Korea, South92 | 0 | 0 | 0 | 0 | 0 | 0 | 920 | 380 | 535 | 0 | 0 | 0 |
Lebanon | 0 | 0 | 0 | 0 | 0 | 0 | 1,820 | 990 | 825 | 0 | 0 | 0 |
Nepal | 0 | 0 | 0 | 0 | 0 | 0 | 180 | 110 | 75 | 0 | 0 | 0 |
Pakistan | 0 | 0 | 0 | 0 | 0 | 0 | 1,145 | 590 | 555 | 0 | 0 | 0 |
Philippines | 0 | 0 | 0 | 0 | 0 | 0 | 6,655 | 2,840 | 3,815 | 0 | 0 | 0 |
Saudi Arabia | 0 | 0 | 0 | 0 | 0 | 0 | 970 | 595 | 370 | 0 | 0 | 0 |
Sri Lanka | 0 | 0 | 0 | 0 | 0 | 0 | 530 | 220 | 305 | 0 | 0 | 0 |
Syria89 | 0 | 0 | 0 | 0 | 0 | 0 | 6,485 | 3,375 | 3,115 | 0 | 0 | 0 |
Turkey | 0 | 0 | 0 | 0 | 0 | 0 | 575 | 310 | 265 | 0 | 0 | 0 |
United Arab Emirates | 0 | 0 | 0 | 0 | 0 | 0 | 690 | 340 | 350 | 0 | 0 | 0 |
Viet Nam | 0 | 0 | 0 | 0 | 0 | 0 | 1,075 | 460 | 620 | 0 | 0 | 0 |
Other places of birth in Asia | 0 | 0 | 0 | 0 | 0 | 0 | 1,715 | 725 | 995 | 0 | 0 | 0 |
Oceania and other93 | 0 | 0 | 0 | 0 | 0 | 0 | 330 | 205 | 130 | 0 | 0 | 0 |
Australia | 0 | 0 | 0 | 0 | 0 | 0 | 220 | 140 | 85 | 0 | 0 | 0 |
Other places of birth98 | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 70 | 45 | 0 | 0 | 0 |
Generation status | ||||||||||||
Total - Generation status for the population in private households - 25% sample data99 | 530 | 265 | 265 | 850 | 415 | 435 | 1,959,355 | 965,670 | 993,685 | 480 | 230 | 245 |
First generation100 | 170 | 90 | 75 | 335 | 160 | 170 | 813,905 | 400,325 | 413,580 | 210 | 100 | 110 |
Second generation101 | 205 | 90 | 115 | 205 | 100 | 110 | 424,225 | 212,755 | 211,475 | 115 | 45 | 65 |
Third generation or more102 | 155 | 85 | 70 | 305 | 155 | 150 | 721,230 | 352,590 | 368,630 | 160 | 85 | 75 |
Admission category and applicant type | ||||||||||||
Total - Admission category and applicant type for the immigrant population in private households who were admitted between 1980 and 2021 - 25% sample data103 | 125 | 70 | 60 | 280 | 140 | 135 | 544,455 | 263,425 | 281,040 | 160 | 75 | 85 |
Economic immigrants104 | 50 | 30 | 25 | 155 | 80 | 80 | 303,105 | 155,090 | 148,020 | 65 | 25 | 40 |
Principal applicants105 | 20 | 15 | 0 | 60 | 45 | 20 | 151,015 | 87,200 | 63,815 | 35 | 10 | 20 |
Secondary applicants106 | 30 | 15 | 20 | 95 | 35 | 55 | 152,090 | 67,890 | 84,205 | 30 | 15 | 15 |
Immigrants sponsored by family107 | 55 | 25 | 30 | 50 | 30 | 20 | 146,645 | 59,645 | 87,000 | 60 | 30 | 30 |
Refugees108 | 15 | 10 | 0 | 65 | 35 | 35 | 85,165 | 44,145 | 41,025 | 35 | 20 | 15 |
Other immigrants109 | 0 | 0 | 0 | 0 | 0 | 0 | 9,540 | 4,545 | 4,995 | 0 | 0 | 0 |
Pre-admission experience | ||||||||||||
Total - Pre-admission experience for the immigrant population in private households who were admitted between 1980 and 2021 - 25% sample data110 | 125 | 70 | 60 | 280 | 140 | 135 | 544,455 | 263,425 | 281,040 | 160 | 75 | 85 |
Asylum claim before admission111 | 10 | 10 | 0 | 30 | 15 | 15 | 53,655 | 28,340 | 25,310 | 20 | 15 | 15 |
Work permits only before admission112 | 15 | 10 | 10 | 20 | 10 | 0 | 56,685 | 26,490 | 30,195 | 10 | 0 | 10 |
Study permits only before admission113 | 0 | 0 | 0 | 10 | 0 | 0 | 13,690 | 7,070 | 6,620 | 0 | 0 | 0 |
Work and study permits before admission114 | 0 | 0 | 0 | 10 | 0 | 0 | 27,800 | 15,470 | 12,330 | 0 | 0 | 0 |
Other permits before admission115 | 0 | 0 | 0 | 0 | 0 | 0 | 4,820 | 2,035 | 2,785 | 0 | 0 | 0 |
No pre-admission experience116 | 95 | 50 | 40 | 200 | 100 | 100 | 387,815 | 184,015 | 203,795 | 125 | 60 | 65 |
Visible minority | ||||||||||||
Total - Visible minority for the population in private households - 25% sample data117 | 530 | 265 | 270 | 850 | 415 | 430 | 1,959,355 | 965,675 | 993,685 | 480 | 230 | 245 |
Total visible minority population118 | 285 | 140 | 145 | 185 | 90 | 95 | 737,510 | 363,785 | 373,725 | 250 | 120 | 130 |
South Asian | 0 | 0 | 0 | 15 | 15 | 0 | 91,370 | 48,660 | 42,710 | 65 | 25 | 35 |
Chinese | 0 | 0 | 0 | 20 | 10 | 10 | 69,985 | 32,190 | 37,795 | 25 | 10 | 15 |
Black | 215 | 110 | 105 | 60 | 25 | 35 | 208,805 | 101,125 | 107,680 | 155 | 80 | 70 |
Filipino | 0 | 0 | 0 | 0 | 0 | 0 | 33,365 | 14,085 | 19,275 | 0 | 0 | 0 |
Arab | 0 | 0 | 0 | 85 | 35 | 45 | 151,890 | 79,375 | 72,515 | 0 | 0 | 0 |
Latin American | 70 | 25 | 40 | 0 | 0 | 0 | 82,550 | 40,580 | 41,970 | 0 | 0 | 0 |
Southeast Asian | 0 | 0 | 0 | 0 | 0 | 0 | 40,535 | 19,270 | 21,265 | 0 | 0 | 0 |
West Asian | 0 | 0 | 0 | 0 | 0 | 0 | 22,800 | 11,365 | 11,435 | 0 | 0 | 0 |
Korean | 0 | 0 | 0 | 0 | 0 | 0 | 6,755 | 3,025 | 3,730 | 0 | 0 | 0 |
Japanese | 0 | 0 | 0 | 0 | 0 | 0 | 3,165 | 1,265 | 1,900 | 0 | 0 | 0 |
Visible minority, n.i.e.119 | 0 | 0 | 0 | 0 | 0 | 0 | 6,515 | 3,185 | 3,325 | 0 | 0 | 0 |
Multiple visible minorities | 0 | 0 | 0 | 0 | 0 | 0 | 19,790 | 9,660 | 10,125 | 0 | 0 | 0 |
Not a visible minority120 | 240 | 120 | 120 | 665 | 330 | 335 | 1,221,845 | 601,890 | 619,960 | 235 | 115 | 120 |
Ethnic or cultural origin | ||||||||||||
Total - Ethnic or cultural origin for the population in private households - 25% sample data121 | 530 | 265 | 265 | 845 | 420 | 435 | 1,959,355 | 965,670 | 993,685 | 480 | 235 | 250 |
Canadian | 55 | 25 | 30 | 65 | 35 | 30 | 241,015 | 115,880 | 125,135 | 40 | 20 | 25 |
English | 10 | 10 | 0 | 40 | 30 | 10 | 59,710 | 30,025 | 29,685 | 0 | 0 | 0 |
Irish | 0 | 0 | 0 | 20 | 15 | 0 | 102,325 | 48,885 | 53,440 | 75 | 35 | 40 |
Scottish | 0 | 0 | 0 | 40 | 35 | 0 | 61,620 | 29,560 | 32,065 | 50 | 20 | 35 |
French, n.o.s.122 | 55 | 35 | 15 | 185 | 90 | 90 | 336,880 | 169,710 | 167,170 | 55 | 35 | 20 |
German | 0 | 0 | 0 | 60 | 30 | 30 | 40,360 | 19,305 | 21,050 | 0 | 0 | 0 |
Chinese | 0 | 0 | 0 | 15 | 10 | 0 | 74,630 | 34,410 | 40,220 | 20 | 10 | 15 |
Italian | 120 | 65 | 60 | 75 | 35 | 40 | 156,025 | 76,485 | 79,535 | 65 | 15 | 55 |
Indian (India) | 0 | 0 | 0 | 0 | 0 | 0 | 44,170 | 23,435 | 20,735 | 15 | 0 | 10 |
Ukrainian | 0 | 0 | 0 | 25 | 10 | 10 | 19,025 | 9,095 | 9,930 | 0 | 0 | 0 |
Dutch | 0 | 0 | 0 | 25 | 20 | 10 | 8,425 | 4,145 | 4,285 | 0 | 0 | 0 |
Polish | 0 | 0 | 0 | 15 | 0 | 15 | 33,540 | 16,340 | 17,200 | 0 | 0 | 0 |
Québécois | 0 | 0 | 0 | 65 | 40 | 25 | 108,910 | 54,650 | 54,260 | 10 | 10 | 0 |
British Isles, n.o.s.123 | 0 | 0 | 0 | 35 | 20 | 15 | 17,025 | 8,610 | 8,415 | 0 | 0 | 0 |
Filipino | 0 | 0 | 0 | 0 | 0 | 0 | 32,035 | 13,555 | 18,475 | 0 | 0 | 0 |
French Canadian | 0 | 0 | 0 | 25 | 10 | 15 | 66,400 | 31,740 | 34,655 | 10 | 0 | 0 |
Caucasian (White), n.o.s.124 | 0 | 0 | 0 | 0 | 0 | 0 | 22,690 | 11,705 | 10,980 | 15 | 10 | 0 |
First Nations (North American Indian), n.o.s.125 | 0 | 0 | 0 | 0 | 0 | 0 | 16,815 | 7,630 | 9,185 | 0 | 0 | 0 |
Métis | 0 | 0 | 0 | 0 | 0 | 0 | 3,975 | 1,795 | 2,180 | 0 | 0 | 0 |
European, n.o.s.126 | 0 | 0 | 0 | 15 | 0 | 15 | 26,895 | 13,510 | 13,380 | 0 | 0 | 0 |
Russian | 0 | 0 | 0 | 55 | 20 | 35 | 28,610 | 13,415 | 15,195 | 0 | 0 | 0 |
Norwegian | 0 | 0 | 0 | 0 | 0 | 0 | 2,940 | 1,405 | 1,525 | 0 | 0 | 0 |
Welsh | 0 | 0 | 0 | 0 | 0 | 0 | 5,170 | 2,590 | 2,580 | 0 | 0 | 0 |
Portuguese | 0 | 0 | 0 | 0 | 0 | 0 | 25,490 | 12,445 | 13,045 | 15 | 0 | 10 |
American | 0 | 0 | 0 | 0 | 0 | 0 | 14,530 | 7,235 | 7,300 | 0 | 0 | 0 |
Spanish | 25 | 15 | 10 | 20 | 10 | 10 | 35,975 | 17,775 | 18,200 | 0 | 0 | 0 |
Swedish | 0 | 0 | 0 | 0 | 0 | 0 | 3,195 | 1,480 | 1,715 | 0 | 0 | 0 |
Hungarian | 0 | 0 | 0 | 15 | 0 | 10 | 12,160 | 5,830 | 6,335 | 0 | 0 | 0 |
Acadian | 0 | 0 | 0 | 0 | 0 | 0 | 12,695 | 5,780 | 6,915 | 0 | 0 | 0 |
Pakistani | 0 | 0 | 0 | 20 | 15 | 10 | 10,350 | 5,580 | 4,770 | 0 | 0 | 0 |
African, n.o.s.127 | 0 | 0 | 0 | 10 | 10 | 0 | 35,410 | 17,485 | 17,930 | 85 | 45 | 40 |
Jewish | 0 | 0 | 0 | 10 | 0 | 10 | 47,415 | 23,905 | 23,515 | 0 | 0 | 0 |
Punjabi | 0 | 0 | 0 | 0 | 0 | 0 | 6,510 | 3,905 | 2,605 | 0 | 0 | 0 |
Vietnamese | 0 | 0 | 0 | 0 | 0 | 0 | 28,910 | 13,890 | 15,015 | 0 | 0 | 0 |
Arab, n.o.s.128 | 0 | 0 | 0 | 40 | 15 | 20 | 56,950 | 30,125 | 26,830 | 0 | 0 | 0 |
Greek | 15 | 0 | 0 | 15 | 15 | 0 | 33,345 | 16,475 | 16,865 | 0 | 0 | 0 |
Jamaican | 0 | 0 | 0 | 0 | 0 | 0 | 6,870 | 3,170 | 3,695 | 15 | 10 | 10 |
Asian, n.o.s.129 | 0 | 0 | 0 | 0 | 0 | 0 | 10,015 | 4,560 | 5,450 | 0 | 0 | 0 |
Cree, n.o.s.130 | 0 | 0 | 0 | 0 | 0 | 0 | 855 | 375 | 480 | 0 | 0 | 0 |
Korean | 0 | 0 | 0 | 0 | 0 | 0 | 6,970 | 3,145 | 3,820 | 0 | 0 | 0 |
Romanian | 0 | 0 | 0 | 25 | 10 | 10 | 21,785 | 10,470 | 11,320 | 0 | 0 | 0 |
Lebanese | 0 | 0 | 0 | 75 | 25 | 50 | 36,445 | 18,790 | 17,650 | 0 | 0 | 0 |
Iranian | 0 | 0 | 0 | 0 | 0 | 0 | 17,805 | 8,760 | 9,045 | 0 | 0 | 0 |
Christian, n.i.e.131 | 0 | 0 | 0 | 0 | 0 | 0 | 13,200 | 6,500 | 6,700 | 0 | 0 | 0 |
Danish | 0 | 0 | 0 | 0 | 0 | 0 | 2,385 | 1,090 | 1,295 | 0 | 0 | 0 |
North American Indigenous, n.o.s.132 | 0 | 0 | 0 | 0 | 0 | 0 | 3,940 | 1,830 | 2,105 | 0 | 0 | 0 |
Sikh | 0 | 0 | 0 | 0 | 0 | 0 | 3,940 | 2,095 | 1,835 | 50 | 15 | 30 |
Austrian | 0 | 0 | 0 | 0 | 0 | 0 | 5,105 | 2,440 | 2,670 | 0 | 0 | 0 |
Belgian | 0 | 0 | 0 | 0 | 0 | 0 | 12,360 | 6,180 | 6,180 | 0 | 0 | 0 |
Haitian | 205 | 105 | 95 | 0 | 0 | 0 | 82,590 | 38,735 | 43,855 | 20 | 10 | 10 |
Hindu | 0 | 0 | 0 | 0 | 0 | 0 | 6,600 | 3,690 | 2,910 | 0 | 0 | 0 |
Mexican | 0 | 0 | 0 | 0 | 0 | 0 | 16,720 | 8,350 | 8,370 | 0 | 0 | 0 |
Mennonite | 0 | 0 | 0 | 0 | 0 | 0 | 440 | 225 | 215 | 0 | 0 | 0 |
Swiss | 0 | 0 | 0 | 0 | 0 | 0 | 6,515 | 3,235 | 3,285 | 0 | 0 | 0 |
Finnish | 0 | 0 | 0 | 0 | 0 | 0 | 1,335 | 555 | 780 | 0 | 0 | 0 |
Sri Lankan | 0 | 0 | 0 | 0 | 0 | 0 | 8,775 | 4,360 | 4,420 | 0 | 0 | 0 |
Croatian | 0 | 0 | 0 | 0 | 0 | 0 | 2,910 | 1,425 | 1,485 | 0 | 0 | 0 |
Japanese | 0 | 0 | 0 | 0 | 0 | 0 | 4,325 | 1,805 | 2,525 | 0 | 0 | 0 |
South Asian, n.o.s.133 | 0 | 0 | 0 | 0 | 0 | 0 | 2,085 | 1,100 | 975 | 0 | 0 | 0 |
Mi'kmaq, n.o.s.134 | 0 | 0 | 0 | 0 | 0 | 0 | 2,570 | 1,125 | 1,445 | 0 | 0 | 0 |
Northern European, n.o.s.135 | 0 | 0 | 0 | 0 | 0 | 0 | 1,545 | 785 | 760 | 0 | 0 | 0 |
Muslim | 0 | 0 | 0 | 0 | 0 | 0 | 9,200 | 4,885 | 4,320 | 0 | 0 | 0 |
Egyptian | 0 | 0 | 0 | 35 | 25 | 10 | 16,840 | 8,750 | 8,090 | 0 | 0 | 0 |
Latin, Central or South American, n.o.s.136 | 0 | 0 | 0 | 0 | 0 | 0 | 13,270 | 6,770 | 6,500 | 0 | 0 | 0 |
Tamil | 0 | 0 | 0 | 0 | 0 | 0 | 5,565 | 2,610 | 2,955 | 0 | 0 | 0 |
Icelandic | 0 | 0 | 0 | 0 | 0 | 0 | 470 | 260 | 205 | 0 | 0 | 0 |
Colombian | 0 | 0 | 0 | 0 | 0 | 0 | 12,570 | 5,960 | 6,615 | 0 | 0 | 0 |
Moroccan | 0 | 0 | 0 | 0 | 0 | 0 | 44,795 | 22,825 | 21,970 | 0 | 0 | 0 |
Czech | 0 | 0 | 0 | 0 | 0 | 0 | 3,180 | 1,480 | 1,700 | 0 | 0 | 0 |
Syrian | 0 | 0 | 0 | 20 | 10 | 0 | 16,220 | 7,940 | 8,280 | 0 | 0 | 0 |
Guyanese | 0 | 0 | 0 | 0 | 0 | 0 | 1,945 | 930 | 1,015 | 0 | 0 | 0 |
Afghan | 0 | 0 | 0 | 0 | 0 | 0 | 2,110 | 1,125 | 980 | 0 | 0 | 0 |
Black, n.o.s.137 | 0 | 0 | 0 | 0 | 0 | 0 | 7,980 | 3,835 | 4,140 | 0 | 0 | 0 |
Serbian | 0 | 0 | 0 | 0 | 0 | 0 | 2,255 | 1,105 | 1,150 | 0 | 0 | 0 |
Ojibway | 0 | 0 | 0 | 0 | 0 | 0 | 280 | 145 | 135 | 0 | 0 | 0 |
Newfoundlander | 0 | 0 | 0 | 0 | 0 | 0 | 490 | 265 | 225 | 0 | 0 | 0 |
Hong Konger | 0 | 0 | 0 | 0 | 0 | 0 | 1,150 | 520 | 630 | 0 | 0 | 0 |
Ontarian | 0 | 0 | 0 | 0 | 0 | 0 | 940 | 430 | 500 | 0 | 0 | 0 |
Persian | 0 | 0 | 0 | 0 | 0 | 0 | 5,920 | 3,175 | 2,740 | 0 | 0 | 0 |
Trinidadian/Tobagonian | 0 | 0 | 0 | 0 | 0 | 0 | 3,510 | 1,835 | 1,675 | 0 | 0 | 0 |
Turkish | 0 | 0 | 0 | 0 | 0 | 0 | 9,430 | 4,670 | 4,755 | 0 | 0 | 0 |
Inuit, n.o.s.138 | 0 | 0 | 0 | 0 | 0 | 0 | 940 | 305 | 635 | 0 | 0 | 0 |
Bangladeshi | 0 | 0 | 0 | 0 | 0 | 0 | 9,090 | 4,620 | 4,465 | 0 | 0 | 0 |
Algerian | 0 | 0 | 0 | 0 | 0 | 0 | 41,695 | 21,670 | 20,025 | 0 | 0 | 0 |
Brazilian | 0 | 0 | 0 | 0 | 0 | 0 | 7,115 | 3,415 | 3,695 | 0 | 0 | 0 |
Nigerian | 0 | 0 | 0 | 0 | 0 | 0 | 2,105 | 970 | 1,125 | 0 | 0 | 0 |
Armenian | 0 | 0 | 0 | 25 | 15 | 15 | 13,180 | 6,320 | 6,860 | 0 | 0 | 0 |
Slovak | 0 | 0 | 0 | 0 | 0 | 0 | 1,985 | 950 | 1,040 | 0 | 0 | 0 |
Eastern European, n.o.s.139 | 0 | 0 | 0 | 0 | 0 | 0 | 4,850 | 2,330 | 2,520 | 0 | 0 | 0 |
Somali | 0 | 0 | 0 | 0 | 0 | 0 | 1,170 | 550 | 620 | 0 | 0 | 0 |
Taiwanese | 0 | 0 | 0 | 0 | 0 | 0 | 2,250 | 1,035 | 1,220 | 0 | 0 | 0 |
Iraqi | 0 | 0 | 0 | 0 | 0 | 0 | 2,605 | 1,355 | 1,250 | 0 | 0 | 0 |
Salvadorean | 0 | 0 | 0 | 0 | 0 | 0 | 9,285 | 4,495 | 4,790 | 0 | 0 | 0 |
African Caribbean | 0 | 0 | 0 | 0 | 0 | 0 | 5,650 | 2,535 | 3,115 | 0 | 0 | 0 |
East or Southeast Asian, n.o.s.140 | 0 | 0 | 0 | 0 | 0 | 0 | 2,030 | 905 | 1,130 | 0 | 0 | 0 |
West or Central Asian or Middle Eastern, n.o.s.141 | 0 | 0 | 0 | 0 | 0 | 0 | 4,005 | 2,135 | 1,870 | 0 | 0 | 0 |
Caribbean, n.o.s.142 | 0 | 0 | 0 | 0 | 0 | 0 | 5,325 | 2,255 | 3,075 | 0 | 0 | 0 |
Algonquin | 0 | 0 | 0 | 0 | 0 | 0 | 1,880 | 925 | 965 | 0 | 0 | 0 |
West Indian, n.o.s.143 | 0 | 0 | 0 | 0 | 0 | 0 | 2,160 | 900 | 1,255 | 0 | 0 | 0 |
Lithuanian | 0 | 0 | 0 | 0 | 0 | 0 | 3,120 | 1,410 | 1,705 | 0 | 0 | 0 |
South African | 0 | 0 | 0 | 0 | 0 | 0 | 600 | 280 | 315 | 0 | 0 | 0 |
Australian | 0 | 0 | 0 | 0 | 0 | 0 | 1,030 | 495 | 535 | 0 | 0 | 0 |
Palestinian | 0 | 0 | 0 | 0 | 0 | 0 | 4,225 | 2,220 | 2,005 | 0 | 0 | 0 |
Chilean | 0 | 0 | 0 | 0 | 0 | 0 | 6,405 | 3,155 | 3,250 | 0 | 0 | 0 |
Congolese | 0 | 0 | 0 | 0 | 0 | 0 | 10,140 | 4,915 | 5,225 | 0 | 0 | 0 |
Nova Scotian | 0 | 0 | 0 | 0 | 0 | 0 | 575 | 255 | 315 | 0 | 0 | 0 |
Ethiopian | 0 | 0 | 0 | 0 | 0 | 0 | 1,035 | 535 | 500 | 0 | 0 | 0 |
Hispanic, n.o.s.144 | 0 | 0 | 0 | 0 | 0 | 0 | 3,465 | 1,775 | 1,690 | 0 | 0 | 0 |
Peruvian | 0 | 0 | 0 | 0 | 0 | 0 | 9,000 | 4,155 | 4,845 | 0 | 0 | 0 |
Yoruba | 0 | 0 | 0 | 0 | 0 | 0 | 1,970 | 1,055 | 910 | 0 | 0 | 0 |
Cambodian (Khmer) | 0 | 0 | 0 | 0 | 0 | 0 | 9,015 | 4,250 | 4,765 | 0 | 0 | 0 |
Berber | 0 | 0 | 0 | 0 | 0 | 0 | 20,455 | 10,885 | 9,570 | 0 | 0 | 0 |
Albanian | 0 | 0 | 0 | 0 | 0 | 0 | 2,770 | 1,415 | 1,355 | 0 | 0 | 0 |
Maltese | 0 | 0 | 0 | 0 | 0 | 0 | 425 | 240 | 180 | 0 | 0 | 0 |
Macedonian | 0 | 0 | 0 | 0 | 0 | 0 | 380 | 185 | 200 | 0 | 0 | 0 |
Slovenian | 0 | 0 | 0 | 0 | 0 | 0 | 1,145 | 520 | 630 | 0 | 0 | 0 |
Western European, n.o.s.145 | 0 | 0 | 0 | 0 | 0 | 0 | 2,465 | 1,380 | 1,085 | 0 | 0 | 0 |
New Brunswicker | 0 | 0 | 0 | 0 | 0 | 0 | 965 | 475 | 485 | 0 | 0 | 0 |
Gujarati | 0 | 0 | 0 | 0 | 0 | 0 | 1,145 | 620 | 525 | 0 | 0 | 0 |
Eritrean | 0 | 0 | 0 | 0 | 0 | 0 | 625 | 305 | 320 | 0 | 0 | 0 |
African Canadian | 0 | 0 | 0 | 0 | 0 | 0 | 1,440 | 745 | 700 | 0 | 0 | 0 |
Israeli | 0 | 0 | 0 | 0 | 0 | 0 | 5,435 | 2,850 | 2,585 | 0 | 0 | 0 |
Mohawk | 0 | 0 | 0 | 0 | 0 | 0 | 1,560 | 700 | 860 | 0 | 0 | 0 |
Czechoslovakian, n.o.s.146 | 0 | 0 | 0 | 0 | 0 | 0 | 735 | 325 | 410 | 0 | 0 | 0 |
Bulgarian | 0 | 0 | 0 | 0 | 0 | 0 | 4,915 | 2,350 | 2,565 | 0 | 0 | 0 |
Albertan | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 40 | 70 | 0 | 0 | 0 |
Ghanaian | 0 | 0 | 0 | 0 | 0 | 0 | 2,070 | 1,105 | 960 | 0 | 0 | 0 |
Barbadian | 0 | 0 | 0 | 0 | 0 | 0 | 2,935 | 1,440 | 1,500 | 0 | 0 | 0 |
African American | 0 | 0 | 0 | 0 | 0 | 0 | 1,775 | 875 | 900 | 0 | 0 | 0 |
Yugoslavian, n.o.s.147 | 0 | 0 | 0 | 0 | 0 | 0 | 950 | 510 | 445 | 0 | 0 | 0 |
Tunisian | 0 | 0 | 0 | 0 | 0 | 0 | 12,345 | 6,770 | 5,580 | 0 | 0 | 0 |
Slavic, n.o.s.148 | 0 | 0 | 0 | 0 | 0 | 0 | 1,615 | 740 | 875 | 0 | 0 | 0 |
Cuban | 0 | 0 | 0 | 0 | 0 | 0 | 4,040 | 2,055 | 1,990 | 0 | 0 | 0 |
Bosnian | 0 | 0 | 0 | 0 | 0 | 0 | 585 | 285 | 300 | 0 | 0 | 0 |
Venezuelan | 0 | 0 | 0 | 0 | 0 | 0 | 4,235 | 1,900 | 2,335 | 0 | 0 | 0 |
Innu/Montagnais, n.o.s.149 | 0 | 0 | 0 | 0 | 0 | 0 | 1,680 | 725 | 955 | 0 | 0 | 0 |
Latvian | 0 | 0 | 0 | 0 | 0 | 0 | 1,070 | 505 | 560 | 0 | 0 | 0 |
Bengali | 0 | 0 | 0 | 0 | 0 | 0 | 3,725 | 1,840 | 1,890 | 0 | 0 | 0 |
Cameroonian | 0 | 0 | 0 | 0 | 0 | 0 | 6,890 | 3,435 | 3,455 | 0 | 0 | 0 |
Guatemalan | 0 | 0 | 0 | 0 | 0 | 0 | 5,005 | 2,605 | 2,400 | 0 | 0 | 0 |
Indonesian | 0 | 0 | 0 | 0 | 0 | 0 | 1,170 | 530 | 645 | 0 | 0 | 0 |
Laotian | 0 | 0 | 0 | 0 | 0 | 0 | 2,605 | 1,320 | 1,290 | 0 | 0 | 0 |
Ilocano | 0 | 0 | 0 | 0 | 0 | 0 | 1,285 | 625 | 660 | 0 | 0 | 0 |
Northern Irish | 0 | 0 | 0 | 0 | 0 | 0 | 420 | 210 | 205 | 0 | 0 | 0 |
Celtic, n.o.s.150 | 0 | 0 | 0 | 0 | 0 | 0 | 720 | 355 | 365 | 0 | 0 | 0 |
British Columbian | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 45 | 55 | 0 | 0 | 0 |
Ecuadorian | 0 | 0 | 0 | 0 | 0 | 0 | 1,295 | 595 | 705 | 0 | 0 | 0 |
Franco Ontarian | 0 | 0 | 0 | 0 | 0 | 0 | 785 | 405 | 380 | 0 | 0 | 0 |
Argentinian | 0 | 0 | 0 | 0 | 0 | 0 | 3,065 | 1,550 | 1,520 | 0 | 0 | 0 |
Estonian | 0 | 0 | 0 | 0 | 0 | 0 | 530 | 285 | 245 | 0 | 0 | 0 |
Kurdish | 0 | 0 | 0 | 0 | 0 | 0 | 1,570 | 895 | 675 | 0 | 0 | 0 |
Fijian | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 10 | 0 | 0 | 0 |
Jatt | 0 | 0 | 0 | 0 | 0 | 0 | 465 | 230 | 230 | 0 | 0 | 0 |
North American, n.o.s.151 | 0 | 0 | 0 | 0 | 0 | 0 | 790 | 405 | 380 | 0 | 0 | 0 |
Coptic | 0 | 0 | 0 | 0 | 0 | 0 | 2,740 | 1,445 | 1,295 | 0 | 0 | 0 |
Thai | 0 | 0 | 0 | 0 | 0 | 0 | 1,255 | 440 | 815 | 0 | 0 | 0 |
Dominican | 0 | 0 | 0 | 0 | 0 | 0 | 5,545 | 2,590 | 2,950 | 0 | 0 | 0 |
Nepali | 0 | 0 | 0 | 0 | 0 | 0 | 485 | 275 | 210 | 0 | 0 | 0 |
Kabyle | 0 | 0 | 0 | 0 | 0 | 0 | 11,165 | 5,780 | 5,380 | 0 | 0 | 0 |
Assyrian | 0 | 0 | 0 | 0 | 0 | 0 | 470 | 195 | 280 | 0 | 0 | 0 |
Igbo | 0 | 0 | 0 | 0 | 0 | 0 | 635 | 375 | 260 | 0 | 0 | 0 |
Byelorussian | 0 | 0 | 0 | 0 | 0 | 0 | 1,360 | 690 | 670 | 0 | 0 | 0 |
Dene, n.o.s.152 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 10 | 15 | 0 | 0 | 0 |
Blackfoot, n.o.s.153 | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 50 | 60 | 0 | 0 | 0 |
Abenaki | 0 | 0 | 0 | 0 | 0 | 0 | 1,795 | 795 | 1,000 | 0 | 0 | 0 |
Moldovan | 0 | 0 | 0 | 0 | 0 | 0 | 3,845 | 1,880 | 1,965 | 0 | 0 | 0 |
Iroquois (Haudenosaunee), n.o.s.154 | 0 | 0 | 0 | 0 | 0 | 0 | 1,200 | 540 | 660 | 0 | 0 | 0 |
New Zealander | 0 | 0 | 0 | 0 | 0 | 0 | 315 | 190 | 125 | 0 | 0 | 0 |
Sudanese | 0 | 0 | 0 | 0 | 0 | 0 | 360 | 180 | 180 | 0 | 0 | 0 |
Breton | 0 | 0 | 0 | 0 | 0 | 0 | 3,980 | 1,885 | 2,095 | 0 | 0 | 0 |
Pennsylvania Dutch | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 20 | 30 | 0 | 0 | 0 |
Malaysian | 0 | 0 | 0 | 0 | 0 | 0 | 415 | 220 | 195 | 0 | 0 | 0 |
Plains Cree | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 15 | 20 | 0 | 0 | 0 |
North African, n.o.s.155 | 0 | 0 | 0 | 0 | 0 | 0 | 6,070 | 3,225 | 2,845 | 0 | 0 | 0 |
Huron (Wendat) | 0 | 0 | 0 | 0 | 0 | 0 | 1,480 | 675 | 805 | 0 | 0 | 0 |
Saskatchewanian | 0 | 0 | 0 | 0 | 0 | 0 | 75 | 25 | 45 | 0 | 0 | 0 |
Buddhist | 0 | 0 | 0 | 0 | 0 | 0 | 790 | 345 | 450 | 0 | 0 | 0 |
Gaspesian | 0 | 0 | 0 | 0 | 0 | 0 | 1,640 | 740 | 900 | 0 | 0 | 0 |
Norman | 0 | 0 | 0 | 0 | 0 | 0 | 1,915 | 950 | 970 | 0 | 0 | 0 |
Southern or East African, n.o.s.156 | 0 | 0 | 0 | 0 | 0 | 0 | 315 | 140 | 175 | 0 | 0 | 0 |
Ivorian | 0 | 0 | 0 | 0 | 0 | 0 | 3,465 | 1,650 | 1,820 | 0 | 0 | 0 |
Saulteaux | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 10 | 15 | 0 | 0 | 0 |
Anishinaabe, n.o.s.157 | 0 | 0 | 0 | 0 | 0 | 0 | 145 | 60 | 85 | 0 | 0 | 0 |
Burundian | 0 | 0 | 0 | 0 | 0 | 0 | 2,185 | 1,045 | 1,140 | 0 | 0 | 0 |
Tigrinya | 0 | 0 | 0 | 0 | 0 | 0 | 375 | 215 | 160 | 0 | 0 | 0 |
Nicaraguan | 0 | 0 | 0 | 0 | 0 | 0 | 1,320 | 650 | 670 | 0 | 0 | 0 |
Mauritian | 0 | 0 | 0 | 0 | 0 | 0 | 2,165 | 1,185 | 990 | 0 | 0 | 0 |
Kenyan | 0 | 0 | 0 | 0 | 0 | 0 | 240 | 105 | 135 | 0 | 0 | 0 |
Oji-Cree | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 0 | 20 | 0 | 0 | 0 |
Vincentian | 0 | 0 | 0 | 0 | 0 | 0 | 2,385 | 945 | 1,440 | 0 | 0 | 0 |
Jordanian | 0 | 0 | 0 | 0 | 0 | 0 | 910 | 510 | 400 | 0 | 0 | 0 |
Manitoban | 0 | 0 | 0 | 0 | 0 | 0 | 115 | 55 | 65 | 0 | 0 | 0 |
Cape Bretoner | 0 | 0 | 0 | 0 | 0 | 0 | 70 | 30 | 50 | 0 | 0 | 0 |
Rwandan | 0 | 0 | 0 | 0 | 0 | 0 | 2,250 | 1,025 | 1,225 | 0 | 0 | 0 |
Grenadian | 0 | 0 | 0 | 0 | 0 | 0 | 1,040 | 410 | 630 | 0 | 0 | 0 |
Malayali | 0 | 0 | 0 | 0 | 0 | 0 | 385 | 210 | 180 | 0 | 0 | 0 |
Chaldean | 0 | 0 | 0 | 0 | 0 | 0 | 120 | 40 | 80 | 0 | 0 | 0 |
Sinhalese | 0 | 0 | 0 | 0 | 0 | 0 | 395 | 185 | 210 | 0 | 0 | 0 |
Mayan | 0 | 0 | 0 | 0 | 0 | 0 | 1,770 | 915 | 850 | 0 | 0 | 0 |
Honduran | 0 | 0 | 0 | 0 | 0 | 0 | 2,345 | 1,075 | 1,265 | 0 | 0 | 0 |
Cherokee | 0 | 0 | 0 | 0 | 0 | 0 | 230 | 105 | 125 | 0 | 0 | 0 |
Qalipu Mi'kmaq | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 15 | 0 | 0 | 0 | 0 |
Indo-Caribbean | 0 | 0 | 0 | 0 | 0 | 0 | 340 | 155 | 180 | 0 | 0 | 0 |
Flemish | 0 | 0 | 0 | 0 | 0 | 0 | 560 | 280 | 280 | 0 | 0 | 0 |
United Empire Loyalist | 0 | 0 | 0 | 0 | 0 | 0 | 140 | 65 | 75 | 0 | 0 | 0 |
Senegalese | 0 | 0 | 0 | 0 | 0 | 0 | 3,210 | 1,610 | 1,600 | 0 | 0 | 0 |
Azerbaijani | 0 | 0 | 0 | 0 | 0 | 0 | 675 | 330 | 345 | 0 | 0 | 0 |
Sicilian | 0 | 0 | 0 | 0 | 0 | 0 | 1,080 | 555 | 530 | 0 | 0 | 0 |
Pashtun | 0 | 0 | 0 | 0 | 0 | 0 | 505 | 275 | 230 | 0 | 0 | 0 |
Malay | 0 | 0 | 0 | 0 | 0 | 0 | 345 | 160 | 185 | 0 | 0 | 0 |
Goan | 0 | 0 | 0 | 0 | 0 | 0 | 200 | 90 | 105 | 0 | 0 | 0 |
Bantu, n.o.s.158 | 0 | 0 | 0 | 0 | 0 | 0 | 1,755 | 865 | 890 | 0 | 0 | 0 |
Tibetan | 0 | 0 | 0 | 0 | 0 | 0 | 145 | 70 | 75 | 0 | 0 | 0 |
Zimbabwean | 0 | 0 | 0 | 0 | 0 | 0 | 205 | 120 | 95 | 0 | 0 | 0 |
Burmese | 0 | 0 | 0 | 0 | 0 | 0 | 245 | 110 | 135 | 0 | 0 | 0 |
Mongolian | 0 | 0 | 0 | 0 | 0 | 0 | 650 | 295 | 355 | 0 | 0 | 0 |
Azorean | 0 | 0 | 0 | 0 | 0 | 0 | 735 | 315 | 415 | 0 | 0 | 0 |
Atikamekw | 0 | 0 | 0 | 0 | 0 | 0 | 330 | 145 | 180 | 0 | 0 | 0 |
Bamileke | 0 | 0 | 0 | 0 | 0 | 0 | 2,250 | 1,155 | 1,095 | 0 | 0 | 0 |
Indo-Guyanese | 0 | 0 | 0 | 0 | 0 | 0 | 140 | 70 | 70 | 0 | 0 | 0 |
Ugandan | 0 | 0 | 0 | 0 | 0 | 0 | 115 | 65 | 60 | 0 | 0 | 0 |
Oromo | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 25 | 25 | 0 | 0 | 0 |
Tanzanian | 0 | 0 | 0 | 0 | 0 | 0 | 195 | 100 | 100 | 0 | 0 | 0 |
Yemeni | 0 | 0 | 0 | 0 | 0 | 0 | 620 | 340 | 280 | 0 | 0 | 0 |
Central African | 0 | 0 | 0 | 0 | 0 | 0 | 1,450 | 685 | 765 | 0 | 0 | 0 |
Libyan | 0 | 0 | 0 | 0 | 0 | 0 | 660 | 345 | 315 | 0 | 0 | 0 |
Basque | 0 | 0 | 0 | 0 | 0 | 0 | 1,090 | 570 | 525 | 0 | 0 | 0 |
Uruguayan | 0 | 0 | 0 | 0 | 0 | 0 | 875 | 510 | 365 | 0 | 0 | 0 |
Akan, n.o.s.159 | 0 | 0 | 0 | 0 | 0 | 0 | 585 | 290 | 295 | 0 | 0 | 0 |
Central or West African, n.o.s.160 | 0 | 0 | 0 | 0 | 0 | 0 | 900 | 520 | 380 | 0 | 0 | 0 |
Igorot | 0 | 0 | 0 | 0 | 0 | 0 | 335 | 125 | 210 | 0 | 0 | 0 |
Fulani | 0 | 0 | 0 | 0 | 0 | 0 | 2,470 | 1,305 | 1,165 | 0 | 0 | 0 |
Woodland Cree | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Guinean | 0 | 0 | 0 | 0 | 0 | 0 | 2,760 | 1,420 | 1,335 | 0 | 0 | 0 |
St. Lucian | 0 | 0 | 0 | 0 | 0 | 0 | 310 | 120 | 185 | 0 | 0 | 0 |
Prince Edward Islander | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Maliseet | 0 | 0 | 0 | 0 | 0 | 0 | 215 | 75 | 140 | 0 | 0 | 0 |
Beninese | 0 | 0 | 0 | 0 | 0 | 0 | 2,100 | 1,200 | 900 | 0 | 0 | 0 |
Telugu | 0 | 0 | 0 | 0 | 0 | 0 | 185 | 130 | 55 | 0 | 0 | 0 |
Roma | 0 | 0 | 0 | 0 | 0 | 0 | 260 | 130 | 135 | 0 | 0 | 0 |
Costa Rican | 0 | 0 | 0 | 0 | 0 | 0 | 800 | 450 | 350 | 0 | 0 | 0 |
African Nova Scotian | 0 | 0 | 0 | 0 | 0 | 0 | 235 | 110 | 120 | 0 | 0 | 0 |
Malagasy | 0 | 0 | 0 | 0 | 0 | 0 | 1,680 | 795 | 890 | 0 | 0 | 0 |
Kashmiri | 0 | 0 | 0 | 0 | 0 | 0 | 115 | 70 | 45 | 0 | 0 | 0 |
Singaporean | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 70 | 30 | 0 | 0 | 0 |
Karen | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 0 | 0 |
Edo | 0 | 0 | 0 | 0 | 0 | 0 | 335 | 155 | 185 | 0 | 0 | 0 |
Tajik | 0 | 0 | 0 | 0 | 0 | 0 | 145 | 70 | 80 | 0 | 0 | 0 |
Amhara | 0 | 0 | 0 | 0 | 0 | 0 | 115 | 60 | 50 | 0 | 0 | 0 |
Paraguayan | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 40 | 60 | 0 | 0 | 0 |
Religion | ||||||||||||
Total - Religion for the population in private households - 25% sample data161 | 530 | 265 | 270 | 850 | 415 | 430 | 1,959,360 | 965,675 | 993,685 | 485 | 230 | 245 |
Buddhist | 0 | 0 | 0 | 0 | 0 | 0 | 28,350 | 12,580 | 15,775 | 0 | 0 | 0 |
Christian | 465 | 230 | 240 | 585 | 275 | 310 | 969,945 | 451,410 | 518,540 | 285 | 135 | 150 |
Christian, n.o.s.162 | 50 | 20 | 35 | 110 | 55 | 55 | 116,635 | 55,545 | 61,090 | 45 | 20 | 25 |
Anabaptist | 0 | 0 | 0 | 0 | 0 | 0 | 280 | 120 | 160 | 0 | 0 | 0 |
Anglican | 0 | 0 | 0 | 10 | 10 | 0 | 14,835 | 6,640 | 8,190 | 0 | 0 | 0 |
Baptist | 0 | 0 | 0 | 0 | 0 | 0 | 12,890 | 5,955 | 6,940 | 10 | 0 | 0 |
Catholic | 240 | 120 | 120 | 335 | 155 | 180 | 675,695 | 314,690 | 361,010 | 175 | 70 | 105 |
Christian Orthodox | 0 | 0 | 0 | 75 | 35 | 40 | 68,635 | 32,680 | 35,950 | 0 | 0 | 0 |
Jehovah's Witness | 0 | 0 | 0 | 30 | 10 | 15 | 7,225 | 2,890 | 4,335 | 0 | 0 | 0 |
Latter Day Saints | 0 | 0 | 0 | 0 | 0 | 0 | 1,220 | 555 | 665 | 0 | 0 | 0 |
Lutheran | 0 | 0 | 0 | 15 | 0 | 15 | 2,255 | 1,000 | 1,255 | 0 | 0 | 0 |
Methodist and Wesleyan (Holiness) | 0 | 0 | 0 | 0 | 0 | 0 | 1,055 | 495 | 560 | 0 | 0 | 0 |
Pentecostal and other Charismatic | 0 | 0 | 0 | 0 | 0 | 0 | 16,130 | 6,980 | 9,150 | 15 | 10 | 10 |
Presbyterian | 0 | 0 | 0 | 0 | 0 | 0 | 3,910 | 1,850 | 2,065 | 0 | 0 | 0 |
Reformed | 0 | 0 | 0 | 0 | 0 | 0 | 410 | 180 | 230 | 0 | 0 | 0 |
United Church | 0 | 0 | 0 | 0 | 0 | 0 | 6,810 | 2,800 | 4,005 | 0 | 0 | 0 |
Other Christian and Christian-related traditions | 105 | 60 | 50 | 0 | 0 | 0 | 41,965 | 19,030 | 22,935 | 15 | 15 | 0 |
Hindu | 0 | 0 | 0 | 0 | 0 | 0 | 35,615 | 19,215 | 16,405 | 0 | 0 | 0 |
Jewish | 0 | 0 | 0 | 0 | 0 | 0 | 73,900 | 36,055 | 37,840 | 0 | 0 | 0 |
Muslim | 0 | 0 | 0 | 55 | 25 | 25 | 233,440 | 121,145 | 112,290 | 0 | 0 | 0 |
Sikh | 0 | 0 | 0 | 0 | 0 | 0 | 17,820 | 9,590 | 8,225 | 65 | 25 | 35 |
Traditional (North American Indigenous) spirituality | 0 | 0 | 0 | 0 | 0 | 0 | 220 | 80 | 135 | 0 | 0 | 0 |
Other religions and spiritual traditions | 0 | 0 | 0 | 0 | 0 | 0 | 9,925 | 4,610 | 5,315 | 15 | 0 | 10 |
No religion and secular perspectives | 55 | 35 | 25 | 185 | 105 | 85 | 590,140 | 310,985 | 279,165 | 100 | 50 | 50 |
Mobility status 1 year ago | ||||||||||||
Total - Mobility status 1 year ago - 25% sample data163 | 525 | 260 | 260 | 830 | 415 | 420 | 1,940,495 | 956,130 | 984,365 | 470 | 225 | 240 |
Non-movers | 515 | 260 | 250 | 750 | 370 | 380 | 1,685,130 | 826,630 | 858,500 | 435 | 215 | 220 |
Movers | 10 | 0 | 10 | 80 | 40 | 40 | 255,365 | 129,500 | 125,865 | 35 | 15 | 20 |
Non-migrants | 10 | 0 | 0 | 75 | 40 | 35 | 186,805 | 94,745 | 92,055 | 35 | 15 | 20 |
Migrants | 0 | 0 | 0 | 10 | 0 | 10 | 68,560 | 34,750 | 33,810 | 0 | 0 | 0 |
Internal migrants | 0 | 0 | 0 | 0 | 0 | 0 | 37,680 | 18,795 | 18,885 | 0 | 0 | 0 |
Intraprovincial migrants | 0 | 0 | 0 | 0 | 0 | 0 | 27,865 | 13,660 | 14,205 | 0 | 0 | 0 |
Interprovincial migrants | 0 | 0 | 0 | 0 | 0 | 0 | 9,810 | 5,130 | 4,680 | 0 | 0 | 0 |
External migrants | 0 | 0 | 0 | 0 | 0 | 0 | 30,885 | 15,960 | 14,925 | 0 | 0 | 0 |
Mobility status 5 years ago | ||||||||||||
Total - Mobility status 5 years ago - 25% sample data164 | 510 | 260 | 250 | 815 | 400 | 415 | 1,860,375 | 915,410 | 944,970 | 445 | 220 | 225 |
Non-movers | 350 | 180 | 170 | 530 | 260 | 270 | 1,038,900 | 502,160 | 536,740 | 255 | 125 | 125 |
Movers | 160 | 80 | 80 | 280 | 140 | 145 | 821,475 | 413,250 | 408,230 | 190 | 95 | 95 |
Non-migrants | 120 | 60 | 60 | 160 | 75 | 85 | 433,700 | 216,030 | 217,670 | 120 | 60 | 60 |
Migrants | 40 | 25 | 20 | 130 | 65 | 60 | 387,770 | 197,215 | 190,560 | 75 | 35 | 40 |
Internal migrants | 35 | 20 | 20 | 80 | 45 | 35 | 190,035 | 93,955 | 96,075 | 25 | 10 | 15 |
Intraprovincial migrants | 35 | 20 | 20 | 80 | 45 | 35 | 159,710 | 78,770 | 80,940 | 25 | 10 | 15 |
Interprovincial migrants | 0 | 0 | 0 | 0 | 0 | 0 | 30,325 | 15,190 | 15,135 | 0 | 0 | 0 |
External migrants | 0 | 0 | 0 | 45 | 20 | 25 | 197,735 | 103,260 | 94,485 | 45 | 20 | 25 |
Secondary (high) school diploma or equivalency certificate | ||||||||||||
Total - Secondary (high) school diploma or equivalency certificate for the population aged 15 years and over in private households - 25% sample data165 | 445 | 215 | 230 | 730 | 350 | 380 | 1,650,135 | 807,560 | 842,575 | 395 | 195 | 200 |
No high school diploma or equivalency certificate | 105 | 55 | 50 | 60 | 25 | 40 | 274,820 | 136,500 | 138,320 | 90 | 35 | 55 |
With high school diploma or equivalency certificate166 | 340 | 165 | 175 | 675 | 330 | 345 | 1,375,315 | 671,055 | 704,255 | 305 | 160 | 145 |
Total - Secondary (high) school diploma or equivalency certificate for the population aged 25 to 64 years in private households - 25% sample data165 | 280 | 145 | 130 | 480 | 250 | 230 | 1,097,000 | 547,645 | 549,355 | 255 | 130 | 125 |
No high school diploma or equivalency certificate | 55 | 30 | 30 | 20 | 10 | 10 | 121,295 | 65,950 | 55,345 | 40 | 15 | 20 |
With high school diploma or equivalency certificate166 | 220 | 120 | 105 | 465 | 235 | 225 | 975,700 | 481,690 | 494,005 | 215 | 110 | 105 |
Highest certificate, diploma or degree | ||||||||||||
Total - Highest certificate, diploma or degree for the population aged 15 years and over in private households - 25% sample data165 | 450 | 220 | 225 | 735 | 355 | 380 | 1,650,135 | 807,560 | 842,575 | 395 | 200 | 200 |
No certificate, diploma or degree | 75 | 40 | 40 | 40 | 0 | 35 | 247,460 | 120,840 | 126,625 | 75 | 25 | 50 |
High (secondary) school diploma or equivalency certificate167 | 145 | 65 | 80 | 155 | 80 | 75 | 319,755 | 162,520 | 157,240 | 120 | 55 | 65 |
Postsecondary certificate, diploma or degree | 230 | 120 | 110 | 540 | 265 | 275 | 1,082,915 | 524,200 | 558,715 | 205 | 115 | 85 |
Postsecondary certificate or diploma below bachelor level | 180 | 100 | 80 | 240 | 110 | 130 | 473,060 | 232,855 | 240,210 | 135 | 75 | 60 |
Apprenticeship or trades certificate or diploma | 85 | 60 | 25 | 55 | 45 | 15 | 146,170 | 81,740 | 64,425 | 60 | 40 | 25 |
Non-apprenticeship trades certificate or diploma168 | 70 | 40 | 25 | 40 | 35 | 10 | 106,110 | 54,025 | 52,085 | 45 | 30 | 15 |
Apprenticeship certificate169 | 15 | 15 | 0 | 20 | 15 | 0 | 40,055 | 27,715 | 12,340 | 20 | 0 | 10 |
College, CEGEP or other non-university certificate or diploma170 | 80 | 35 | 45 | 165 | 60 | 110 | 260,845 | 122,345 | 138,495 | 65 | 30 | 30 |
University certificate or diploma below bachelor level | 15 | 10 | 10 | 20 | 10 | 10 | 66,045 | 28,760 | 37,285 | 10 | 0 | 0 |
Bachelor's degree or higher | 45 | 20 | 30 | 295 | 155 | 140 | 609,855 | 291,355 | 318,505 | 70 | 45 | 20 |
Bachelor's degree | 35 | 10 | 25 | 195 | 100 | 90 | 344,605 | 160,320 | 184,285 | 25 | 15 | 10 |
University certificate or diploma above bachelor level | 0 | 0 | 0 | 30 | 15 | 15 | 58,945 | 27,280 | 31,665 | 15 | 15 | 0 |
Degree in medicine, dentistry, veterinary medicine or optometry | 0 | 0 | 0 | 15 | 0 | 15 | 16,885 | 8,385 | 8,500 | 0 | 0 | 0 |
Master's degree | 0 | 0 | 0 | 40 | 25 | 15 | 159,510 | 78,325 | 81,190 | 20 | 10 | 10 |
Earned doctorate171 | 0 | 0 | 0 | 25 | 15 | 0 | 29,905 | 17,040 | 12,865 | 0 | 0 | 0 |
Total - Highest certificate, diploma or degree for the population aged 25 to 64 years in private households - 25% sample data165 | 275 | 145 | 135 | 480 | 250 | 235 | 1,097,000 | 547,645 | 549,355 | 255 | 130 | 125 |
No certificate, diploma or degree | 40 | 20 | 20 | 0 | 0 | 0 | 102,815 | 55,805 | 47,015 | 25 | 10 | 20 |
High (secondary) school diploma or equivalency certificate167 | 65 | 30 | 30 | 70 | 45 | 25 | 162,205 | 88,420 | 73,785 | 80 | 35 | 45 |
Postsecondary certificate, diploma or degree | 180 | 95 | 80 | 410 | 205 | 200 | 831,975 | 403,420 | 428,555 | 140 | 80 | 65 |
Postsecondary certificate or diploma below bachelor level | 135 | 80 | 55 | 165 | 75 | 90 | 333,160 | 167,260 | 165,895 | 90 | 40 | 45 |
Apprenticeship or trades certificate or diploma | 70 | 50 | 20 | 45 | 30 | 10 | 110,390 | 60,690 | 49,700 | 50 | 25 | 25 |
Non-apprenticeship trades certificate or diploma168 | 55 | 35 | 20 | 30 | 25 | 10 | 81,090 | 40,585 | 40,505 | 30 | 15 | 10 |
Apprenticeship certificate169 | 15 | 15 | 0 | 10 | 10 | 0 | 29,300 | 20,105 | 9,195 | 15 | 0 | 10 |
College, CEGEP or other non-university certificate or diploma170 | 50 | 25 | 30 | 110 | 40 | 75 | 174,185 | 84,745 | 89,445 | 35 | 15 | 15 |
University certificate or diploma below bachelor level | 15 | 0 | 0 | 15 | 0 | 0 | 48,580 | 21,830 | 26,755 | 0 | 0 | 0 |
Bachelor's degree or higher | 40 | 15 | 20 | 240 | 130 | 115 | 498,815 | 236,155 | 262,665 | 55 | 40 | 15 |
Bachelor's degree | 40 | 15 | 20 | 160 | 85 | 80 | 276,640 | 128,890 | 147,745 | 30 | 15 | 10 |
University certificate or diploma above bachelor level | 0 | 0 | 0 | 15 | 10 | 0 | 48,390 | 21,995 | 26,395 | 20 | 20 | 0 |
Degree in medicine, dentistry, veterinary medicine or optometry | 0 | 0 | 0 | 15 | 0 | 10 | 12,900 | 5,750 | 7,150 | 0 | 0 | 0 |
Master's degree | 0 | 0 | 0 | 35 | 25 | 15 | 137,150 | 66,720 | 70,430 | 15 | 0 | 10 |
Earned doctorate171 | 0 | 0 | 0 | 15 | 10 | 0 | 23,735 | 12,795 | 10,935 | 0 | 0 | 0 |
Major field of study - Classification of Instructional Programs (CIP) 2021 | ||||||||||||
Total - Major field of study - Classification of Instructional Programs (CIP) 2021 for the population aged 15 years and over in private households - 25% sample data172 | 445 | 220 | 225 | 735 | 355 | 380 | 1,650,135 | 807,555 | 842,580 | 400 | 200 | 200 |
No postsecondary certificate, diploma or degree173 | 220 | 100 | 120 | 195 | 85 | 110 | 567,220 | 283,355 | 283,860 | 195 | 80 | 115 |
Education | 0 | 0 | 0 | 30 | 10 | 25 | 56,030 | 12,985 | 43,045 | 0 | 0 | 0 |
13. Education | 0 | 0 | 0 | 30 | 10 | 25 | 56,030 | 12,985 | 43,045 | 0 | 0 | 0 |
Visual and performing arts, and communications technologies | 15 | 0 | 10 | 25 | 10 | 20 | 69,210 | 32,705 | 36,505 | 10 | 0 | 10 |
10. Communications technologies/technicians and support services | 0 | 0 | 0 | 0 | 0 | 0 | 8,075 | 5,620 | 2,455 | 0 | 0 | 0 |
50. Visual and performing arts | 15 | 0 | 10 | 25 | 10 | 20 | 61,135 | 27,085 | 34,045 | 10 | 0 | 10 |
Humanities | 0 | 0 | 0 | 20 | 10 | 10 | 78,920 | 30,815 | 48,110 | 0 | 0 | 0 |
16. Indigenous and foreign languages, literatures, and linguistics | 0 | 0 | 0 | 0 | 0 | 0 | 15,135 | 3,710 | 11,430 | 0 | 0 | 0 |
23. English language and literature/letters | 0 | 0 | 0 | 0 | 0 | 0 | 8,800 | 2,825 | 5,970 | 0 | 0 | 0 |
24. Liberal arts and sciences, general studies and humanities | 0 | 0 | 0 | 10 | 0 | 0 | 28,165 | 11,870 | 16,295 | 0 | 0 | 0 |
30A Interdisciplinary humanities174 | 0 | 0 | 0 | 0 | 0 | 0 | 935 | 325 | 605 | 0 | 0 | 0 |
38. Philosophy and religious studies | 0 | 0 | 0 | 0 | 0 | 0 | 5,015 | 2,980 | 2,035 | 0 | 0 | 0 |
39. Theology and religious vocations | 0 | 0 | 0 | 0 | 0 | 0 | 2,225 | 1,440 | 780 | 0 | 0 | 0 |
54. History | 0 | 0 | 0 | 0 | 0 | 0 | 6,815 | 3,655 | 3,160 | 0 | 0 | 0 |
55. French language and literature/lettersCAN | 0 | 0 | 0 | 0 | 0 | 0 | 11,835 | 4,005 | 7,835 | 0 | 0 | 0 |
Social and behavioural sciences and law | 30 | 0 | 25 | 75 | 25 | 50 | 157,220 | 58,185 | 99,040 | 25 | 10 | 15 |
05. Area, ethnic, cultural, gender, and group studies | 0 | 0 | 0 | 0 | 0 | 0 | 2,145 | 640 | 1,510 | 0 | 0 | 0 |
09. Communication, journalism and related programs | 0 | 0 | 0 | 0 | 0 | 0 | 23,760 | 8,265 | 15,495 | 0 | 0 | 0 |
19. Family and consumer sciences/human sciences | 10 | 0 | 10 | 10 | 0 | 10 | 18,245 | 2,110 | 16,130 | 0 | 0 | 0 |
22. Legal professions and studies | 0 | 0 | 0 | 20 | 0 | 15 | 28,365 | 11,670 | 16,690 | 10 | 0 | 10 |
30B Interdisciplinary social and behavioural sciences175 | 0 | 0 | 0 | 0 | 0 | 0 | 4,005 | 1,235 | 2,770 | 0 | 0 | 0 |
42. Psychology | 0 | 0 | 0 | 0 | 0 | 0 | 21,400 | 5,075 | 16,330 | 0 | 0 | 0 |
45. Social sciences | 10 | 0 | 0 | 35 | 15 | 20 | 59,300 | 29,185 | 30,110 | 15 | 10 | 0 |
Business, management and public administration | 45 | 15 | 25 | 125 | 60 | 60 | 248,895 | 110,950 | 137,945 | 45 | 40 | 10 |
30.16 Accounting and computer science | 0 | 0 | 0 | 0 | 0 | 0 | 230 | 125 | 105 | 0 | 0 | 0 |
44. Public administration and social service professions | 0 | 0 | 0 | 0 | 0 | 0 | 11,535 | 2,785 | 8,745 | 10 | 0 | 0 |
52. Business, management, marketing and related support services | 45 | 15 | 25 | 120 | 55 | 60 | 237,125 | 108,040 | 129,090 | 35 | 30 | 0 |
Physical and life sciences and technologies | 0 | 0 | 0 | 30 | 20 | 15 | 57,445 | 29,770 | 27,670 | 15 | 15 | 0 |
26. Biological and biomedical sciences | 0 | 0 | 0 | 10 | 10 | 0 | 23,060 | 9,475 | 13,585 | 0 | 0 | 0 |
30.01 Biological and physical sciences | 0 | 0 | 0 | 10 | 0 | 10 | 10,555 | 5,610 | 4,945 | 0 | 0 | 0 |
30C Other interdisciplinary physical and life sciences176 | 0 | 0 | 0 | 0 | 0 | 0 | 5,355 | 2,735 | 2,620 | 0 | 0 | 0 |
40. Physical sciences | 0 | 0 | 0 | 15 | 10 | 10 | 16,655 | 10,925 | 5,725 | 0 | 0 | 0 |
41. Science technologies/technicians | 0 | 0 | 0 | 0 | 0 | 0 | 1,825 | 1,025 | 800 | 0 | 0 | 0 |
Mathematics, computer and information sciences | 15 | 10 | 0 | 20 | 10 | 15 | 65,435 | 46,010 | 19,420 | 20 | 10 | 10 |
11. Computer and information sciences and support services | 10 | 10 | 0 | 15 | 10 | 10 | 53,075 | 39,595 | 13,480 | 10 | 10 | 0 |
25. Library science | 0 | 0 | 0 | 0 | 0 | 0 | 3,720 | 895 | 2,825 | 0 | 0 | 0 |
27. Mathematics and statistics | 0 | 0 | 0 | 0 | 0 | 0 | 7,120 | 4,425 | 2,695 | 0 | 0 | 0 |
30D Interdisciplinary mathematics, computer and information sciences177 | 0 | 0 | 0 | 0 | 0 | 0 | 1,515 | 1,095 | 425 | 0 | 0 | 0 |
Architecture, engineering, and related trades | 65 | 65 | 0 | 145 | 115 | 30 | 173,380 | 143,615 | 29,765 | 35 | 25 | 10 |
04. Architecture and related services | 0 | 0 | 0 | 15 | 0 | 15 | 13,085 | 7,045 | 6,040 | 0 | 0 | 0 |
14. Engineering | 10 | 10 | 0 | 60 | 50 | 0 | 78,800 | 61,515 | 17,290 | 0 | 0 | 0 |
15. Engineering/engineering-related technologies/technicians | 10 | 10 | 0 | 40 | 25 | 15 | 27,365 | 23,480 | 3,885 | 15 | 10 | 0 |
30.12 Historic preservation and conservation | 0 | 0 | 0 | 0 | 0 | 0 | 65 | 25 | 45 | 0 | 0 | 0 |
46. Construction trades | 20 | 20 | 0 | 0 | 0 | 0 | 21,310 | 20,295 | 1,010 | 10 | 10 | 0 |
47. Mechanic and repair technologies/technicians | 25 | 25 | 0 | 15 | 15 | 0 | 20,645 | 19,920 | 730 | 0 | 0 | 0 |
48. Precision production | 0 | 0 | 0 | 15 | 10 | 0 | 12,110 | 11,340 | 775 | 0 | 0 | 0 |
Agriculture, natural resources and conservation | 0 | 0 | 0 | 0 | 0 | 0 | 11,685 | 5,720 | 5,960 | 0 | 0 | 0 |
01. Agricultural and veterinary sciences/services/operations and related fields178 | 0 | 0 | 0 | 0 | 0 | 0 | 7,725 | 3,820 | 3,900 | 0 | 0 | 0 |
03. Natural resources and conservation | 0 | 0 | 0 | 0 | 0 | 0 | 3,960 | 1,895 | 2,060 | 0 | 0 | 0 |
Health and related fields | 35 | 0 | 30 | 45 | 0 | 40 | 122,295 | 30,795 | 91,495 | 35 | 10 | 30 |
30.37 Design for human health | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
31. Parks, recreation, leisure, fitness, and kinesiology | 0 | 0 | 0 | 10 | 0 | 10 | 6,950 | 3,490 | 3,460 | 0 | 0 | 0 |
51. Health professions and related programs178 | 35 | 0 | 30 | 35 | 0 | 30 | 109,185 | 24,140 | 85,045 | 35 | 10 | 30 |
60. Health professions residency/fellowship programs | 0 | 0 | 0 | 0 | 0 | 0 | 235 | 110 | 125 | 0 | 0 | 0 |
61. Medical residency/fellowship programs | 0 | 0 | 0 | 0 | 0 | 0 | 5,925 | 3,060 | 2,865 | 0 | 0 | 0 |
Personal, protective and transportation services | 15 | 15 | 0 | 20 | 10 | 10 | 42,230 | 22,590 | 19,640 | 10 | 0 | 0 |
12. Culinary, entertainment, and personal services | 0 | 0 | 0 | 10 | 0 | 0 | 26,800 | 9,745 | 17,060 | 0 | 0 | 0 |
28. Military science, leadership and operational art | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 40 | 0 | 0 | 0 | 0 |
29. Military technologies and applied sciences | 0 | 0 | 0 | 0 | 0 | 0 | 170 | 170 | 0 | 0 | 0 | 0 |
43. Security and protective services | 0 | 0 | 0 | 0 | 0 | 0 | 6,855 | 5,225 | 1,630 | 0 | 0 | 0 |
49. Transportation and materials moving | 0 | 0 | 0 | 10 | 0 | 0 | 8,355 | 7,410 | 945 | 0 | 0 | 0 |
Other179 | 0 | 0 | 0 | 0 | 0 | 0 | 180 | 55 | 125 | 0 | 0 | 0 |
Total - Major field of study - Classification of Instructional Programs (CIP) 2021 for the population aged 25 to 64 years in private households - 25% sample data172 | 280 | 150 | 135 | 480 | 250 | 230 | 1,097,000 | 547,645 | 549,355 | 250 | 130 | 120 |
No postsecondary certificate, diploma or degree173 | 105 | 50 | 55 | 75 | 45 | 30 | 265,025 | 144,230 | 120,800 | 110 | 50 | 60 |
Education | 0 | 0 | 0 | 10 | 0 | 10 | 38,405 | 8,860 | 29,545 | 0 | 0 | 0 |
13. Education | 0 | 0 | 0 | 10 | 0 | 10 | 38,405 | 8,860 | 29,545 | 0 | 0 | 0 |
Visual and performing arts, and communications technologies | 0 | 0 | 0 | 20 | 0 | 20 | 54,840 | 26,500 | 28,340 | 10 | 0 | 10 |
10. Communications technologies/technicians and support services | 0 | 0 | 0 | 0 | 0 | 0 | 6,635 | 4,630 | 2,005 | 0 | 0 | 0 |
50. Visual and performing arts | 0 | 0 | 0 | 20 | 0 | 20 | 48,205 | 21,870 | 26,335 | 10 | 0 | 10 |
Humanities | 0 | 0 | 0 | 0 | 0 | 0 | 52,565 | 20,765 | 31,805 | 0 | 0 | 0 |
16. Indigenous and foreign languages, literatures, and linguistics | 0 | 0 | 0 | 0 | 0 | 0 | 11,310 | 2,805 | 8,510 | 0 | 0 | 0 |
23. English language and literature/letters | 0 | 0 | 0 | 0 | 0 | 0 | 6,465 | 2,100 | 4,365 | 0 | 0 | 0 |
24. Liberal arts and sciences, general studies and humanities | 0 | 0 | 0 | 0 | 0 | 0 | 16,385 | 7,290 | 9,100 | 0 | 0 | 0 |
30A Interdisciplinary humanities174 | 0 | 0 | 0 | 0 | 0 | 0 | 625 | 205 | 415 | 0 | 0 | 0 |
38. Philosophy and religious studies | 0 | 0 | 0 | 0 | 0 | 0 | 3,605 | 2,150 | 1,455 | 0 | 0 | 0 |
39. Theology and religious vocations | 0 | 0 | 0 | 0 | 0 | 0 | 1,295 | 890 | 405 | 0 | 0 | 0 |
54. History | 0 | 0 | 0 | 0 | 0 | 0 | 4,965 | 2,670 | 2,300 | 0 | 0 | 0 |
55. French language and literature/lettersCAN | 0 | 0 | 0 | 0 | 0 | 0 | 7,920 | 2,660 | 5,255 | 0 | 0 | 0 |
Social and behavioural sciences and law | 25 | 0 | 20 | 60 | 20 | 40 | 121,985 | 44,105 | 77,880 | 25 | 15 | 15 |
05. Area, ethnic, cultural, gender, and group studies | 0 | 0 | 0 | 0 | 0 | 0 | 1,715 | 520 | 1,190 | 0 | 0 | 0 |
09. Communication, journalism and related programs | 0 | 0 | 0 | 0 | 0 | 0 | 20,165 | 6,920 | 13,245 | 0 | 0 | 0 |
19. Family and consumer sciences/human sciences | 10 | 0 | 10 | 10 | 0 | 10 | 14,380 | 1,525 | 12,850 | 0 | 0 | 0 |
22. Legal professions and studies | 0 | 0 | 0 | 15 | 0 | 15 | 22,425 | 8,630 | 13,785 | 10 | 0 | 10 |
30B Interdisciplinary social and behavioural sciences175 | 0 | 0 | 0 | 0 | 0 | 0 | 2,935 | 915 | 2,020 | 0 | 0 | 0 |
42. Psychology | 0 | 0 | 0 | 0 | 0 | 0 | 15,795 | 3,645 | 12,150 | 0 | 0 | 0 |
45. Social sciences | 10 | 0 | 0 | 25 | 10 | 15 | 44,580 | 21,945 | 22,635 | 15 | 10 | 0 |
Business, management and public administration | 35 | 10 | 25 | 100 | 50 | 50 | 199,525 | 87,920 | 111,600 | 45 | 30 | 10 |
30.16 Accounting and computer science | 0 | 0 | 0 | 0 | 0 | 0 | 190 | 105 | 90 | 0 | 0 | 0 |
44. Public administration and social service professions | 0 | 0 | 0 | 0 | 0 | 0 | 8,920 | 2,215 | 6,705 | 10 | 0 | 0 |
52. Business, management, marketing and related support services | 35 | 10 | 25 | 95 | 45 | 50 | 190,410 | 85,600 | 104,810 | 35 | 25 | 0 |
Physical and life sciences and technologies | 0 | 0 | 0 | 20 | 20 | 0 | 37,905 | 19,350 | 18,560 | 0 | 0 | 0 |
26. Biological and biomedical sciences | 0 | 0 | 0 | 10 | 10 | 0 | 18,535 | 7,670 | 10,860 | 0 | 0 | 0 |
30.01 Biological and physical sciences | 0 | 0 | 0 | 0 | 0 | 0 | 4,885 | 2,570 | 2,310 | 0 | 0 | 0 |
30C Other interdisciplinary physical and life sciences176 | 0 | 0 | 0 | 0 | 0 | 0 | 1,385 | 765 | 625 | 0 | 0 | 0 |
40. Physical sciences | 0 | 0 | 0 | 10 | 10 | 0 | 11,860 | 7,610 | 4,250 | 0 | 0 | 0 |
41. Science technologies/technicians | 0 | 0 | 0 | 0 | 0 | 0 | 1,240 | 735 | 510 | 0 | 0 | 0 |
Mathematics, computer and information sciences | 15 | 10 | 0 | 25 | 10 | 15 | 53,860 | 38,275 | 15,590 | 10 | 0 | 0 |
11. Computer and information sciences and support services | 0 | 0 | 0 | 15 | 10 | 10 | 45,135 | 33,805 | 11,335 | 10 | 0 | 0 |
25. Library science | 0 | 0 | 0 | 0 | 0 | 0 | 2,550 | 635 | 1,915 | 0 | 0 | 0 |
27. Mathematics and statistics | 10 | 0 | 0 | 0 | 0 | 0 | 5,175 | 3,140 | 2,040 | 0 | 0 | 0 |
30D Interdisciplinary mathematics, computer and information sciences177 | 0 | 0 | 0 | 0 | 0 | 0 | 1,000 | 690 | 305 | 0 | 0 | 0 |
Architecture, engineering, and related trades | 45 | 45 | 0 | 105 | 80 | 30 | 137,395 | 112,025 | 25,370 | 20 | 15 | 0 |
04. Architecture and related services | 0 | 0 | 0 | 15 | 0 | 15 | 10,855 | 5,700 | 5,155 | 0 | 0 | 0 |
14. Engineering | 10 | 10 | 0 | 40 | 40 | 0 | 66,210 | 51,090 | 15,115 | 0 | 0 | 0 |
15. Engineering/engineering-related technologies/technicians | 0 | 0 | 0 | 35 | 25 | 10 | 20,510 | 17,545 | 2,955 | 10 | 10 | 0 |
30.12 Historic preservation and conservation | 0 | 0 | 0 | 0 | 0 | 0 | 65 | 25 | 45 | 0 | 0 | 0 |
46. Construction trades | 20 | 20 | 0 | 0 | 0 | 0 | 16,030 | 15,195 | 835 | 0 | 0 | 0 |
47. Mechanic and repair technologies/technicians | 15 | 15 | 0 | 10 | 10 | 0 | 15,275 | 14,660 | 615 | 0 | 0 | 0 |
48. Precision production | 0 | 0 | 0 | 0 | 0 | 0 | 8,455 | 7,805 | 650 | 0 | 0 | 0 |
Agriculture, natural resources and conservation | 0 | 0 | 0 | 0 | 0 | 0 | 9,845 | 4,635 | 5,210 | 0 | 0 | 0 |
01. Agricultural and veterinary sciences/services/operations and related fields178 | 0 | 0 | 0 | 0 | 0 | 0 | 6,465 | 3,045 | 3,415 | 0 | 0 | 0 |
03. Natural resources and conservation | 0 | 0 | 0 | 0 | 0 | 0 | 3,380 | 1,585 | 1,795 | 0 | 0 | 0 |
Health and related fields | 35 | 0 | 30 | 35 | 0 | 30 | 92,595 | 23,265 | 69,330 | 25 | 0 | 20 |
30.37 Design for human health | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
31. Parks, recreation, leisure, fitness, and kinesiology | 0 | 0 | 0 | 10 | 0 | 10 | 5,570 | 2,765 | 2,805 | 0 | 0 | 0 |
51. Health professions and related programs178 | 35 | 0 | 30 | 25 | 0 | 20 | 82,410 | 18,370 | 64,045 | 25 | 0 | 20 |
60. Health professions residency/fellowship programs | 0 | 0 | 0 | 0 | 0 | 0 | 185 | 75 | 115 | 0 | 0 | 0 |
61. Medical residency/fellowship programs | 0 | 0 | 0 | 0 | 0 | 0 | 4,425 | 2,055 | 2,370 | 0 | 0 | 0 |
Personal, protective and transportation services | 10 | 10 | 0 | 15 | 10 | 10 | 32,910 | 17,695 | 15,220 | 0 | 0 | 0 |
12. Culinary, entertainment, and personal services | 0 | 0 | 0 | 10 | 0 | 0 | 20,670 | 7,455 | 13,220 | 0 | 0 | 0 |
28. Military science, leadership and operational art | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 35 | 0 | 0 | 0 | 0 |
29. Military technologies and applied sciences | 0 | 0 | 0 | 0 | 0 | 0 | 95 | 95 | 0 | 0 | 0 | 0 |
43. Security and protective services | 0 | 0 | 0 | 0 | 0 | 0 | 5,410 | 4,150 | 1,260 | 0 | 0 | 0 |
49. Transportation and materials moving | 0 | 0 | 0 | 10 | 0 | 0 | 6,695 | 5,960 | 735 | 0 | 0 | 0 |
Other179 | 0 | 0 | 0 | 0 | 0 | 0 | 140 | 30 | 110 | 0 | 0 | 0 |
Location of study compared with province or territory of residence | ||||||||||||
Total - Location of study compared with province or territory of residence for the population aged 25 to 64 years in private households - 25% sample data180 | 280 | 150 | 135 | 480 | 250 | 230 | 1,097,000 | 547,645 | 549,355 | 250 | 130 | 120 |
No postsecondary certificate, diploma or degree | 105 | 50 | 55 | 75 | 45 | 30 | 265,025 | 144,230 | 120,800 | 110 | 50 | 60 |
Postsecondary certificate, diploma or degree181 | 175 | 100 | 80 | 405 | 200 | 205 | 831,975 | 403,415 | 428,560 | 145 | 75 | 65 |
Location of study inside Canada | 160 | 85 | 80 | 300 | 155 | 145 | 598,455 | 286,340 | 312,115 | 110 | 55 | 55 |
Same as province or territory of residence | 155 | 75 | 80 | 290 | 145 | 140 | 566,540 | 270,160 | 296,380 | 105 | 55 | 50 |
Different than province or territory of residence | 0 | 0 | 0 | 10 | 10 | 0 | 31,915 | 16,180 | 15,735 | 0 | 0 | 0 |
Location of study outside Canada182 | 20 | 15 | 0 | 100 | 45 | 55 | 233,520 | 117,075 | 116,445 | 35 | 20 | 10 |
Americas | 20 | 15 | 0 | 10 | 0 | 0 | 41,560 | 21,015 | 20,550 | 10 | 0 | 10 |
United States of America | 0 | 0 | 0 | 10 | 0 | 0 | 13,525 | 7,585 | 5,945 | 0 | 0 | 0 |
Mexico | 0 | 0 | 0 | 0 | 0 | 0 | 5,165 | 2,400 | 2,770 | 0 | 0 | 0 |
Cuba | 0 | 0 | 0 | 0 | 0 | 0 | 1,440 | 735 | 705 | 0 | 0 | 0 |
Haiti | 10 | 10 | 0 | 0 | 0 | 0 | 5,155 | 2,830 | 2,325 | 0 | 0 | 0 |
Jamaica | 0 | 0 | 0 | 0 | 0 | 0 | 130 | 70 | 60 | 0 | 0 | 0 |
Brazil | 0 | 0 | 0 | 0 | 0 | 0 | 4,100 | 1,950 | 2,150 | 0 | 0 | 0 |
Colombia | 0 | 0 | 0 | 0 | 0 | 0 | 3,860 | 1,790 | 2,065 | 0 | 0 | 0 |
Peru | 0 | 0 | 0 | 0 | 0 | 0 | 1,475 | 625 | 845 | 0 | 0 | 0 |
Venezuela95 | 0 | 0 | 0 | 0 | 0 | 0 | 1,870 | 775 | 1,090 | 0 | 0 | 0 |
Other locations of study in Americas | 0 | 0 | 0 | 0 | 0 | 0 | 4,850 | 2,255 | 2,595 | 0 | 0 | 0 |
Europe | 0 | 0 | 0 | 30 | 15 | 25 | 74,705 | 39,515 | 35,190 | 0 | 0 | 0 |
Belgium | 0 | 0 | 0 | 0 | 0 | 0 | 1,865 | 950 | 920 | 0 | 0 | 0 |
France | 0 | 0 | 0 | 0 | 0 | 0 | 43,480 | 23,805 | 19,675 | 0 | 0 | 0 |
Germany | 0 | 0 | 0 | 0 | 0 | 0 | 1,240 | 665 | 575 | 0 | 0 | 0 |
Netherlands | 0 | 0 | 0 | 0 | 0 | 0 | 525 | 300 | 225 | 0 | 0 | 0 |
Switzerland | 0 | 0 | 0 | 0 | 0 | 0 | 1,085 | 610 | 475 | 0 | 0 | 0 |
Hungary | 0 | 0 | 0 | 0 | 0 | 0 | 230 | 125 | 105 | 0 | 0 | 0 |
Moldova183 | 0 | 0 | 0 | 0 | 0 | 0 | 2,155 | 1,030 | 1,125 | 0 | 0 | 0 |
Poland | 0 | 0 | 0 | 0 | 0 | 0 | 965 | 345 | 620 | 0 | 0 | 0 |
Romania | 0 | 0 | 0 | 0 | 0 | 0 | 4,030 | 2,045 | 1,975 | 0 | 0 | 0 |
Russian Federation | 0 | 0 | 0 | 0 | 0 | 0 | 2,965 | 1,350 | 1,615 | 0 | 0 | 0 |
Ukraine | 0 | 0 | 0 | 10 | 0 | 0 | 2,410 | 1,075 | 1,340 | 0 | 0 | 0 |
Ireland96 | 0 | 0 | 0 | 0 | 0 | 0 | 330 | 225 | 110 | 0 | 0 | 0 |
United Kingdom87 | 0 | 0 | 0 | 0 | 0 | 0 | 5,815 | 3,140 | 2,680 | 0 | 0 | 0 |
Bosnia and Herzegovina | 0 | 0 | 0 | 0 | 0 | 0 | 130 | 75 | 55 | 0 | 0 | 0 |
Italy | 0 | 0 | 0 | 0 | 0 | 0 | 1,460 | 820 | 640 | 0 | 0 | 0 |
Serbia86 | 0 | 0 | 0 | 0 | 0 | 0 | 145 | 50 | 95 | 0 | 0 | 0 |
Other locations of study in Europe | 0 | 0 | 0 | 0 | 0 | 0 | 5,870 | 2,905 | 2,965 | 0 | 0 | 0 |
Africa | 0 | 0 | 0 | 10 | 0 | 0 | 50,645 | 26,790 | 23,860 | 20 | 20 | 0 |
Nigeria | 0 | 0 | 0 | 0 | 0 | 0 | 1,430 | 740 | 690 | 0 | 0 | 0 |
Algeria | 0 | 0 | 0 | 0 | 0 | 0 | 19,530 | 10,160 | 9,370 | 0 | 0 | 0 |
Morocco | 0 | 0 | 0 | 0 | 0 | 0 | 9,845 | 5,080 | 4,765 | 0 | 0 | 0 |
Tunisia | 0 | 0 | 0 | 0 | 0 | 0 | 4,725 | 2,660 | 2,060 | 0 | 0 | 0 |
Egypt | 0 | 0 | 0 | 0 | 0 | 0 | 3,655 | 1,900 | 1,760 | 0 | 0 | 0 |
South Africa, Republic of | 0 | 0 | 0 | 0 | 0 | 0 | 345 | 165 | 180 | 0 | 0 | 0 |
Other locations of study in Africa | 0 | 0 | 0 | 0 | 0 | 0 | 11,115 | 6,080 | 5,030 | 20 | 20 | 0 |
Asia | 0 | 0 | 0 | 45 | 20 | 25 | 65,125 | 28,945 | 36,180 | 0 | 0 | 0 |
Iran88 | 0 | 0 | 0 | 0 | 0 | 0 | 7,025 | 3,280 | 3,745 | 0 | 0 | 0 |
Iraq | 0 | 0 | 0 | 0 | 0 | 0 | 425 | 215 | 210 | 0 | 0 | 0 |
Israel | 0 | 0 | 0 | 0 | 0 | 0 | 950 | 480 | 465 | 0 | 0 | 0 |
Lebanon | 0 | 0 | 0 | 20 | 15 | 0 | 4,800 | 2,370 | 2,430 | 0 | 0 | 0 |
Syria89 | 0 | 0 | 0 | 0 | 0 | 0 | 3,465 | 1,630 | 1,830 | 0 | 0 | 0 |
Turkey | 0 | 0 | 0 | 0 | 0 | 0 | 825 | 475 | 350 | 0 | 0 | 0 |
China90 | 0 | 0 | 0 | 10 | 0 | 0 | 13,220 | 5,865 | 7,360 | 0 | 0 | 0 |
Taiwan | 0 | 0 | 0 | 0 | 0 | 0 | 440 | 180 | 260 | 0 | 0 | 0 |
Hong Kong91 | 0 | 0 | 0 | 0 | 0 | 0 | 275 | 130 | 150 | 0 | 0 | 0 |
Japan | 0 | 0 | 0 | 0 | 0 | 0 | 905 | 330 | 575 | 0 | 0 | 0 |
Korea, South92 | 0 | 0 | 0 | 0 | 0 | 0 | 1,625 | 560 | 1,065 | 0 | 0 | 0 |
Philippines | 0 | 0 | 0 | 0 | 0 | 0 | 10,585 | 3,395 | 7,190 | 0 | 0 | 0 |
Viet Nam | 0 | 0 | 0 | 0 | 0 | 0 | 1,225 | 445 | 780 | 0 | 0 | 0 |
Bangladesh | 0 | 0 | 0 | 0 | 0 | 0 | 2,070 | 1,095 | 980 | 0 | 0 | 0 |
Sri Lanka | 0 | 0 | 0 | 0 | 0 | 0 | 715 | 275 | 445 | 0 | 0 | 0 |
India | 0 | 0 | 0 | 0 | 0 | 0 | 10,915 | 5,585 | 5,330 | 0 | 0 | 0 |
Pakistan | 0 | 0 | 0 | 0 | 0 | 0 | 1,410 | 705 | 705 | 0 | 0 | 0 |
Other locations of study in Asia | 0 | 0 | 0 | 10 | 0 | 10 | 4,240 | 1,925 | 2,310 | 0 | 0 | 0 |
Oceania | 0 | 0 | 0 | 0 | 0 | 0 | 1,475 | 820 | 660 | 0 | 0 | 0 |
Australia | 0 | 0 | 0 | 0 | 0 | 0 | 1,210 | 665 | 545 | 0 | 0 | 0 |
New Zealand | 0 | 0 | 0 | 0 | 0 | 0 | 225 | 130 | 95 | 0 | 0 | 0 |
Other locations of study in Oceania | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 25 | 20 | 0 | 0 | 0 |
Labour force status | ||||||||||||
Total - Population aged 15 years and over by labour force status - 25% sample data184 | 450 | 220 | 225 | 735 | 355 | 380 | 1,650,135 | 807,560 | 842,575 | 395 | 200 | 200 |
In the labour force | 280 | 135 | 140 | 490 | 275 | 220 | 1,081,640 | 561,340 | 520,295 | 270 | 150 | 115 |
Employed | 270 | 130 | 140 | 445 | 260 | 185 | 971,245 | 502,885 | 468,360 | 245 | 135 | 110 |
Unemployed | 10 | 10 | 0 | 45 | 15 | 35 | 110,395 | 58,460 | 51,935 | 20 | 15 | 0 |
Not in the labour force | 170 | 85 | 85 | 245 | 80 | 160 | 568,495 | 246,215 | 322,280 | 130 | 45 | 80 |
Participation rate | 62.2 | 61.4 | 62.2 | 66.7 | 77.5 | 57.9 | 65.5 | 69.5 | 61.8 | 68.4 | 75.0 | 57.5 |
Employment rate | 60.0 | 59.1 | 62.2 | 60.5 | 73.2 | 48.7 | 58.9 | 62.3 | 55.6 | 62.0 | 67.5 | 55.0 |
Unemployment rate | 3.6 | 7.4 | 0.0 | 9.2 | 5.5 | 15.9 | 10.2 | 10.4 | 10.0 | 7.4 | 10.0 | 0.0 |
Work activity during the reference year | ||||||||||||
Total - Population aged 15 years and over by work activity during the reference year - 25% sample data185 | 445 | 220 | 225 | 735 | 355 | 380 | 1,650,135 | 807,555 | 842,580 | 400 | 200 | 200 |
Did not work186 | 165 | 95 | 70 | 250 | 75 | 170 | 582,470 | 253,075 | 329,400 | 155 | 55 | 100 |
Worked | 285 | 125 | 155 | 485 | 275 | 205 | 1,067,665 | 554,490 | 513,175 | 240 | 140 | 100 |
Worked full year full time187 | 175 | 90 | 85 | 250 | 155 | 105 | 529,400 | 287,950 | 241,450 | 135 | 75 | 60 |
Worked part year and/or part time188 | 110 | 35 | 75 | 230 | 130 | 105 | 538,265 | 266,540 | 271,725 | 105 | 65 | 45 |
Average weeks worked in reference year | 44.8 | 47.6 | 42.8 | 40.8 | 40.4 | 41.4 | 39.7 | 40.2 | 39.3 | 41.2 | 40.4 | 42.4 |
Class of worker including job permanency | ||||||||||||
Total - Labour force aged 15 years and over by class of worker including job permanency - 25% sample data189 | 275 | 135 | 140 | 490 | 275 | 215 | 1,081,635 | 561,345 | 520,295 | 270 | 150 | 120 |
Class of worker - not applicable190 | 0 | 0 | 0 | 15 | 0 | 15 | 31,515 | 15,365 | 16,150 | 10 | 0 | 0 |
All classes of workers191 | 275 | 135 | 140 | 475 | 275 | 205 | 1,050,120 | 545,980 | 504,150 | 260 | 145 | 115 |
Employee | 265 | 125 | 140 | 400 | 225 | 180 | 907,745 | 457,830 | 449,915 | 230 | 115 | 110 |
Permanent position | 230 | 105 | 125 | 335 | 185 | 150 | 741,830 | 380,445 | 361,385 | 200 | 95 | 105 |
Temporary position | 30 | 20 | 15 | 65 | 40 | 25 | 165,915 | 77,385 | 88,530 | 30 | 20 | 10 |
Fixed term (1 year or more) | 0 | 0 | 0 | 45 | 35 | 10 | 69,690 | 31,285 | 38,405 | 15 | 15 | 0 |
Casual, seasonal or short-term position (less than 1 year) | 20 | 10 | 15 | 20 | 10 | 15 | 96,225 | 46,100 | 50,120 | 10 | 10 | 0 |
Self-employed192 | 20 | 10 | 0 | 75 | 50 | 30 | 142,380 | 88,145 | 54,230 | 35 | 30 | 10 |
Occupation - Broad category - National Occupational Classification (NOC) 2021 | ||||||||||||
Total - Labour force aged 15 years and over by occupation - Broad category - National Occupational Classification (NOC) 2021 - 25% sample data193 | 275 | 135 | 140 | 490 | 275 | 215 | 1,081,635 | 561,345 | 520,295 | 270 | 150 | 120 |
Occupation - not applicable190 | 0 | 0 | 0 | 15 | 0 | 15 | 31,515 | 15,365 | 16,150 | 10 | 0 | 0 |
All occupations191 | 275 | 135 | 140 | 475 | 275 | 205 | 1,050,120 | 545,980 | 504,150 | 260 | 145 | 115 |
0 Legislative and senior management occupations | 0 | 0 | 0 | 10 | 10 | 0 | 19,090 | 13,485 | 5,600 | 0 | 0 | 0 |
1 Business, finance and administration occupations | 35 | 25 | 10 | 100 | 55 | 40 | 207,660 | 79,975 | 127,685 | 45 | 15 | 25 |
2 Natural and applied sciences and related occupations | 15 | 10 | 10 | 75 | 55 | 25 | 114,775 | 85,780 | 28,990 | 20 | 15 | 0 |
3 Health occupations | 40 | 0 | 35 | 35 | 10 | 30 | 85,545 | 21,700 | 63,845 | 30 | 0 | 25 |
4 Occupations in education, law and social, community and government services | 30 | 10 | 15 | 40 | 15 | 20 | 140,500 | 46,385 | 94,115 | 15 | 0 | 10 |
5 Occupations in art, culture, recreation and sport | 0 | 0 | 0 | 10 | 0 | 10 | 61,790 | 31,615 | 30,175 | 0 | 0 | 0 |
6 Sales and service occupations | 110 | 50 | 60 | 125 | 75 | 55 | 263,055 | 135,300 | 127,750 | 95 | 60 | 35 |
7 Trades, transport and equipment operators and related occupations | 25 | 25 | 0 | 60 | 40 | 15 | 109,555 | 99,115 | 10,440 | 45 | 40 | 0 |
8 Natural resources, agriculture and related production occupations | 0 | 0 | 0 | 10 | 10 | 0 | 5,775 | 4,415 | 1,355 | 0 | 0 | 0 |
9 Occupations in manufacturing and utilities | 15 | 10 | 0 | 20 | 10 | 10 | 42,380 | 28,195 | 14,185 | 10 | 0 | 10 |
Industry - Sectors - North American Industry Classification System (NAICS) 2017 | ||||||||||||
Total - Labour force aged 15 years and over by industry - Sectors - North American Industry Classification System (NAICS) 2017 - 25% sample data194 | 275 | 135 | 140 | 490 | 275 | 215 | 1,081,635 | 561,345 | 520,295 | 270 | 150 | 120 |
Industry - not applicable190 | 0 | 0 | 0 | 15 | 0 | 15 | 31,515 | 15,365 | 16,150 | 10 | 0 | 0 |
All industries191 | 275 | 135 | 140 | 475 | 275 | 205 | 1,050,120 | 545,980 | 504,150 | 260 | 145 | 115 |
11 Agriculture, forestry, fishing and hunting | 0 | 0 | 0 | 0 | 0 | 0 | 3,250 | 1,910 | 1,340 | 0 | 0 | 0 |
21 Mining, quarrying, and oil and gas extraction | 0 | 0 | 0 | 0 | 0 | 0 | 1,355 | 910 | 440 | 0 | 0 | 0 |
22 Utilities | 0 | 0 | 0 | 0 | 0 | 0 | 5,585 | 3,470 | 2,110 | 0 | 0 | 0 |
23 Construction | 10 | 10 | 0 | 25 | 10 | 15 | 37,460 | 31,570 | 5,890 | 15 | 15 | 0 |
31-33 Manufacturing | 30 | 20 | 0 | 30 | 20 | 10 | 86,535 | 58,295 | 28,235 | 20 | 15 | 0 |
41 Wholesale trade | 10 | 0 | 0 | 35 | 15 | 20 | 42,365 | 25,230 | 17,140 | 10 | 0 | 10 |
44-45 Retail trade | 45 | 15 | 30 | 80 | 45 | 30 | 111,555 | 56,180 | 55,375 | 30 | 20 | 15 |
48-49 Transportation and warehousing | 15 | 15 | 0 | 40 | 30 | 0 | 56,160 | 43,355 | 12,805 | 35 | 25 | 10 |
51 Information and cultural industries | 0 | 0 | 0 | 10 | 0 | 0 | 43,110 | 26,250 | 16,865 | 0 | 0 | 0 |
52 Finance and insurance | 15 | 0 | 15 | 45 | 30 | 20 | 53,430 | 27,205 | 26,225 | 15 | 10 | 0 |
53 Real estate and rental and leasing | 0 | 0 | 0 | 10 | 0 | 0 | 20,440 | 11,820 | 8,615 | 0 | 0 | 0 |
54 Professional, scientific and technical services | 10 | 0 | 0 | 60 | 40 | 20 | 130,405 | 75,750 | 54,655 | 10 | 0 | 10 |
55 Management of companies and enterprises | 0 | 0 | 0 | 0 | 0 | 0 | 2,130 | 1,045 | 1,080 | 0 | 0 | 0 |
56 Administrative and support, waste management and remediation services | 25 | 15 | 10 | 10 | 10 | 0 | 49,530 | 29,800 | 19,735 | 15 | 10 | 0 |
61 Educational services | 10 | 0 | 10 | 20 | 10 | 10 | 95,290 | 34,510 | 60,780 | 15 | 10 | 10 |
62 Health care and social assistance | 50 | 10 | 35 | 45 | 15 | 30 | 142,545 | 36,095 | 106,450 | 65 | 25 | 45 |
71 Arts, entertainment and recreation | 0 | 0 | 0 | 0 | 0 | 0 | 23,355 | 12,045 | 11,315 | 0 | 0 | 0 |
72 Accommodation and food services | 15 | 0 | 10 | 25 | 10 | 15 | 59,510 | 32,125 | 27,380 | 10 | 0 | 0 |
81 Other services (except public administration) | 10 | 0 | 0 | 20 | 10 | 10 | 43,990 | 17,935 | 26,050 | 0 | 0 | 0 |
91 Public administration | 20 | 15 | 10 | 25 | 15 | 15 | 42,120 | 20,455 | 21,665 | 20 | 15 | 0 |
All languages used at work | ||||||||||||
Total - All languages used at work for the population in private households aged 15 years and over who worked since January 1, 2020 - 25% sample data195 | 300 | 135 | 165 | 520 | 290 | 230 | 1,148,440 | 595,375 | 553,060 | 270 | 150 | 115 |
English | 40 | 15 | 20 | 105 | 75 | 30 | 201,310 | 110,165 | 91,150 | 75 | 40 | 35 |
French | 115 | 45 | 70 | 100 | 60 | 45 | 416,430 | 206,170 | 210,265 | 80 | 55 | 25 |
Non-official language | 0 | 0 | 0 | 0 | 0 | 0 | 8,105 | 4,035 | 4,075 | 0 | 0 | 0 |
Indigenous39 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 10 | 0 | 0 | 0 |
Non-Indigenous | 0 | 0 | 0 | 0 | 0 | 0 | 8,100 | 4,035 | 4,065 | 0 | 0 | 0 |
English and French | 115 | 75 | 45 | 285 | 145 | 140 | 473,485 | 249,700 | 223,785 | 105 | 55 | 50 |
English and non-official language(s) | 0 | 0 | 0 | 0 | 0 | 0 | 12,600 | 7,050 | 5,545 | 0 | 0 | 0 |
French and non-official language(s) | 0 | 0 | 0 | 0 | 0 | 0 | 7,410 | 3,530 | 3,880 | 0 | 0 | 0 |
English, French and non-official language(s) | 35 | 0 | 30 | 15 | 10 | 10 | 28,645 | 14,450 | 14,195 | 10 | 0 | 10 |
Multiple non-official languages | 0 | 0 | 0 | 0 | 0 | 0 | 455 | 280 | 170 | 0 | 0 | 0 |
Language used most often at work | ||||||||||||
Total - Language used most often at work for the population aged 15 years and over who worked since January 1, 2020, in private households, 2021 Census - 25% sample data196 | 300 | 135 | 165 | 520 | 290 | 230 | 1,148,440 | 595,375 | 553,060 | 270 | 150 | 115 |
Single responses | 260 | 120 | 140 | 445 | 255 | 190 | 1,022,255 | 529,440 | 492,820 | 215 | 120 | 95 |
Official languages | 260 | 120 | 140 | 445 | 255 | 190 | 1,007,600 | 522,060 | 485,540 | 205 | 115 | 90 |
English | 90 | 45 | 40 | 205 | 140 | 65 | 361,715 | 194,885 | 166,835 | 105 | 55 | 50 |
French | 170 | 65 | 105 | 240 | 115 | 125 | 645,885 | 327,180 | 318,705 | 105 | 60 | 40 |
Non-official languages | 0 | 0 | 0 | 0 | 0 | 0 | 14,660 | 7,380 | 7,285 | 0 | 0 | 0 |
Indigenous languages39 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 0 | 30 | 0 | 0 | 0 |
Algonquian languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Blackfoot | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Cree-Innu languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Atikamekw | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Cree languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Ililimowin (Moose Cree) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Inu Ayimun (Southern East Cree) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Iyiyiw-Ayimiwin (Northern East Cree) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Nehinawewin (Swampy Cree) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Nehiyawewin (Plains Cree) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Nihithawiwin (Woods Cree) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Cree, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Innu (Montagnais) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Naskapi | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Eastern Algonquian languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Mi'kmaq | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Wolastoqewi (Malecite) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Ojibway-Potawatomi languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Anicinabemowin (Algonquin) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Oji-Cree | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Ojibway languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Anishinaabemowin (Chippewa) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Daawaamwin (Odawa) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Saulteau (Western Ojibway) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Ojibway, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Algonquian languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Athabaskan languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Northern Athabaskan languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Dakelh (Carrier) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Dane-zaa (Beaver) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Dene, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Gwich'in | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Slavey-Hare languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Deh Gah Ghotie Zhatie (South Slavey) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Satuotine Yati (North Slavey) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Slavey, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tahltan languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tlicho (Dogrib) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tse'khene (Sekani) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tsilhqot'in (Chilcotin) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tsuu T'ina (Sarsi) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tutchone languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Northern Tutchone | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Southern Tutchone | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tutchone, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Wetsuwet'en-Babine | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tlingit | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Athabaskan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Haida | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Inuktut (Inuit) languages | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 0 | 30 | 0 | 0 | 0 |
Inuinnaqtun (Inuvialuktun) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Inuinnaqtun | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Inuvialuktun | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Inuktitut | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 0 | 30 | 0 | 0 | 0 |
Inuktut (Inuit) languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Iroquoian languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Mohawk | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Oneida | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Iroquoian languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Ktunaxa (Kutenai) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Michif | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Salish languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Halkomelem | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Lillooet | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Ntlakapamux (Thompson) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Secwepemctsin (Shuswap) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Squamish | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Straits | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Syilx (Okanagan) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Salish languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Siouan languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Assiniboine | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Dakota | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Stoney | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Siouan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tsimshian languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Gitxsan (Gitksan) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Nisga'a | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tsimshian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Wakashan languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Haisla | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Heiltsuk | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Kwak'wala (Kwakiutl) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Nuu-chah-nulth (Nootka) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Wakashan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Indigenous languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Indigenous languages, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Non-Indigenous languages | 0 | 0 | 0 | 0 | 0 | 0 | 14,625 | 7,380 | 7,250 | 0 | 0 | 0 |
Afro-Asiatic languages | 0 | 0 | 0 | 0 | 0 | 0 | 1,450 | 790 | 655 | 0 | 0 | 0 |
Berber languages | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 20 | 0 | 0 | 0 | 0 |
Kabyle | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 20 | 0 | 0 | 0 | 0 |
Tamazight | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Berber languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Chadic languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Coptic | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Cushitic languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Bilen | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Oromo | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Somali | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Cushitic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Semitic languages | 0 | 0 | 0 | 0 | 0 | 0 | 1,425 | 780 | 650 | 0 | 0 | 0 |
Amharic | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Arabic | 0 | 0 | 0 | 0 | 0 | 0 | 1,275 | 720 | 555 | 0 | 0 | 0 |
Aramaic languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Assyrian Neo-Aramaic | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Chaldean Neo-Aramaic | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Aramaic, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Hebrew | 0 | 0 | 0 | 0 | 0 | 0 | 125 | 50 | 80 | 0 | 0 | 0 |
Tigrigna | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Semitic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Austro-Asiatic languages | 0 | 0 | 0 | 0 | 0 | 0 | 1,250 | 550 | 700 | 0 | 0 | 0 |
Khmer (Cambodian) | 0 | 0 | 0 | 0 | 0 | 0 | 175 | 70 | 100 | 0 | 0 | 0 |
Vietnamese | 0 | 0 | 0 | 0 | 0 | 0 | 1,075 | 475 | 600 | 0 | 0 | 0 |
Austro-Asiatic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Austronesian languages | 0 | 0 | 0 | 0 | 0 | 0 | 125 | 60 | 65 | 0 | 0 | 0 |
Bikol | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Bisaya, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Cebuano | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Hiligaynon | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Ilocano | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 0 | 0 | 0 |
Indonesian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Kankanaey | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Malagasy languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Malay | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Pampangan (Kapampangan, Pampango) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Pangasinan | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tagalog (Pilipino, Filipino) | 0 | 0 | 0 | 0 | 0 | 0 | 95 | 50 | 50 | 0 | 0 | 0 |
Austronesian languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 10 | 0 | 0 | 0 |
Creole languages | 0 | 0 | 0 | 0 | 0 | 0 | 210 | 100 | 110 | 0 | 0 | 0 |
Haitian Creole | 0 | 0 | 0 | 0 | 0 | 0 | 210 | 100 | 110 | 0 | 0 | 0 |
Jamaican English Creole | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Morisyen | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Creole, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Creole languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Dravidian languages | 0 | 0 | 0 | 0 | 0 | 0 | 95 | 30 | 60 | 0 | 0 | 0 |
Kannada | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Malayalam | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 10 | 0 | 0 | 0 |
Tamil | 0 | 0 | 0 | 0 | 0 | 0 | 85 | 30 | 50 | 0 | 0 | 0 |
Telugu | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Dravidian languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Georgian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Indo-European languages | 0 | 0 | 0 | 0 | 0 | 0 | 6,880 | 3,515 | 3,370 | 0 | 0 | 0 |
Albanian | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 0 | 0 |
Armenian | 0 | 0 | 0 | 0 | 0 | 0 | 85 | 60 | 30 | 0 | 0 | 0 |
Balto-Slavic languages | 0 | 0 | 0 | 0 | 0 | 0 | 675 | 220 | 455 | 0 | 0 | 0 |
Baltic languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Latvian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Lithuanian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Slavic languages | 0 | 0 | 0 | 0 | 0 | 0 | 675 | 220 | 455 | 0 | 0 | 0 |
Bulgarian | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 10 | 25 | 0 | 0 | 0 |
Czech | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Macedonian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Polish | 0 | 0 | 0 | 0 | 0 | 0 | 95 | 30 | 75 | 0 | 0 | 0 |
Russian | 0 | 0 | 0 | 0 | 0 | 0 | 485 | 165 | 320 | 0 | 0 | 0 |
Serbo-Croatian | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 10 | 0 | 0 | 0 |
Bosnian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Croatian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Serbian | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 10 | 0 | 0 | 0 |
Serbo-Croatian, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Slovak | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Slovene (Slovenian) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Ukrainian | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 10 | 30 | 0 | 0 | 0 |
Slavic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Celtic languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Scottish Gaelic | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Celtic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Germanic languages | 0 | 0 | 0 | 0 | 0 | 0 | 850 | 405 | 450 | 0 | 0 | 0 |
Frisian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
High German languages | 0 | 0 | 0 | 0 | 0 | 0 | 815 | 385 | 430 | 0 | 0 | 0 |
German | 0 | 0 | 0 | 0 | 0 | 0 | 115 | 65 | 55 | 0 | 0 | 0 |
Pennsylvania German | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Swiss German | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Yiddish | 0 | 0 | 0 | 0 | 0 | 0 | 700 | 325 | 375 | 0 | 0 | 0 |
Low Saxon-Low Franconian languages | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 10 | 0 | 0 | 0 |
Afrikaans | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Dutch | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 10 | 0 | 0 | 0 |
Low German, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Low Saxon | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Plautdietsch | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Vlaams (Flemish) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Scandinavian languages | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 15 | 15 | 0 | 0 | 0 |
Danish | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Icelandic | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Norwegian | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 0 | 0 |
Swedish | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 0 | 0 | 0 |
Germanic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Greek | 0 | 0 | 0 | 0 | 0 | 0 | 205 | 65 | 135 | 0 | 0 | 0 |
Indo-Iranian languages | 0 | 0 | 0 | 0 | 0 | 0 | 1,905 | 1,070 | 835 | 0 | 0 | 0 |
Indo-Aryan languages | 0 | 0 | 0 | 0 | 0 | 0 | 1,550 | 860 | 690 | 0 | 0 | 0 |
Bengali | 0 | 0 | 0 | 0 | 0 | 0 | 85 | 25 | 55 | 0 | 0 | 0 |
Gujarati | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 10 | 20 | 0 | 0 | 0 |
Hindi | 0 | 0 | 0 | 0 | 0 | 0 | 125 | 60 | 65 | 0 | 0 | 0 |
Kacchi | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Marathi | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Nepali | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Punjabi (Panjabi) | 0 | 0 | 0 | 0 | 0 | 0 | 1,200 | 705 | 495 | 0 | 0 | 0 |
Sindhi | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Sinhala (Sinhalese) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Urdu | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 55 | 55 | 0 | 0 | 0 |
Indo-Aryan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Iranian languages | 0 | 0 | 0 | 0 | 0 | 0 | 355 | 210 | 145 | 0 | 0 | 0 |
Kurdish | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Pashto | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 20 | 0 | 0 | 0 | 0 |
Persian languages | 0 | 0 | 0 | 0 | 0 | 0 | 325 | 185 | 140 | 0 | 0 | 0 |
Dari | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 10 | 10 | 0 | 0 | 0 |
Iranian Persian | 0 | 0 | 0 | 0 | 0 | 0 | 295 | 165 | 135 | 0 | 0 | 0 |
Persian (Farsi), n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 0 | 0 | 0 | 0 |
Iranian languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Indo-Iranian languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Italic (Romance) languages | 0 | 0 | 0 | 0 | 0 | 0 | 3,155 | 1,690 | 1,465 | 0 | 0 | 0 |
Catalan | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Italian | 0 | 0 | 0 | 0 | 0 | 0 | 330 | 165 | 160 | 0 | 0 | 0 |
Portuguese | 0 | 0 | 0 | 0 | 0 | 0 | 275 | 105 | 170 | 0 | 0 | 0 |
Romanian | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 70 | 45 | 0 | 0 | 0 |
Spanish | 0 | 0 | 0 | 0 | 0 | 0 | 2,425 | 1,335 | 1,090 | 0 | 0 | 0 |
Italic (Romance) languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 0 | 0 | 0 |
Indo-European languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Japanese | 0 | 0 | 0 | 0 | 0 | 0 | 130 | 25 | 110 | 0 | 0 | 0 |
Korean | 0 | 0 | 0 | 0 | 0 | 0 | 280 | 115 | 165 | 0 | 0 | 0 |
Mongolian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Niger-Congo languages | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 35 | 15 | 0 | 0 | 0 |
Akan (Twi) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Edo | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Fulah (Pular, Pulaar, Fulfulde) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Ga | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Ganda | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Igbo | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Kinyarwanda (Rwanda) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Lingala | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 0 | 0 | 0 |
Rundi (Kirundi) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Shona | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Swahili | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 15 | 0 | 0 | 0 | 0 |
Wolof | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Yoruba | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Niger-Congo languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Nilo-Saharan languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Dinka | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Nilo-Saharan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Sign languages | 0 | 0 | 0 | 0 | 0 | 0 | 90 | 35 | 60 | 0 | 0 | 0 |
American Sign Language | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 10 | 15 | 0 | 0 | 0 |
Quebec Sign Language | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 20 | 40 | 0 | 0 | 0 |
Sign languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 0 | 0 |
Sino-Tibetan languages | 0 | 0 | 0 | 0 | 0 | 0 | 3,935 | 2,055 | 1,875 | 0 | 0 | 0 |
Chinese languages | 0 | 0 | 0 | 0 | 0 | 0 | 3,935 | 2,055 | 1,875 | 0 | 0 | 0 |
Hakka | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Mandarin | 0 | 0 | 0 | 0 | 0 | 0 | 2,645 | 1,430 | 1,215 | 0 | 0 | 0 |
Min Dong | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Min Nan (Chaochow, Teochow, Fukien, Taiwanese) | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 25 | 40 | 0 | 0 | 0 |
Wu (Shanghainese) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Yue (Cantonese) | 0 | 0 | 0 | 0 | 0 | 0 | 1,215 | 595 | 620 | 0 | 0 | 0 |
Chinese, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 15 | 10 | 0 | 0 | 0 |
Chinese languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tibeto-Burman languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Burmese | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Karenic languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
S'gaw Karen | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Karenic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tibetan | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tibeto-Burman languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Sino-Tibetan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tai-Kadai languages | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 10 | 0 | 0 | 0 |
Lao | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Thai | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 10 | 0 | 0 | 0 |
Tai-Kadai languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Turkic languages | 0 | 0 | 0 | 0 | 0 | 0 | 90 | 55 | 40 | 0 | 0 | 0 |
Azerbaijani | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Turkish | 0 | 0 | 0 | 0 | 0 | 0 | 90 | 50 | 40 | 0 | 0 | 0 |
Uyghur | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Uzbek | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Turkic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Uralic languages | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 15 | 0 | 0 | 0 |
Estonian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Finnish | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Hungarian | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 10 | 0 | 0 | 0 |
Other languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Multiple responses | 40 | 20 | 25 | 75 | 35 | 40 | 126,180 | 65,940 | 60,240 | 55 | 35 | 25 |
English and French | 40 | 20 | 20 | 70 | 35 | 35 | 116,535 | 60,925 | 55,605 | 55 | 30 | 25 |
English and non-official language(s) | 0 | 0 | 0 | 0 | 0 | 0 | 3,595 | 2,065 | 1,530 | 0 | 0 | 0 |
French and non-official language(s) | 0 | 0 | 0 | 0 | 0 | 0 | 2,450 | 1,125 | 1,320 | 0 | 0 | 0 |
English, French and non-official language(s) | 0 | 0 | 0 | 0 | 0 | 0 | 3,555 | 1,810 | 1,750 | 0 | 0 | 0 |
Multiple non-official languages | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 10 | 35 | 0 | 0 | 0 |
Other language(s) used regularly at work | ||||||||||||
Total - Other language(s) used regularly at work for the population in private households aged 15 years and over who worked since January 1, 2020 - 25% sample data197 | 300 | 135 | 165 | 520 | 290 | 230 | 1,148,440 | 595,375 | 553,060 | 270 | 150 | 115 |
None | 190 | 80 | 115 | 280 | 165 | 110 | 743,180 | 381,875 | 361,305 | 210 | 125 | 85 |
English | 25 | 20 | 10 | 135 | 50 | 85 | 219,885 | 116,455 | 103,430 | 20 | 10 | 15 |
French | 50 | 35 | 20 | 85 | 60 | 25 | 149,470 | 78,495 | 70,975 | 25 | 15 | 15 |
Non-official language | 0 | 0 | 0 | 10 | 0 | 10 | 16,645 | 8,685 | 7,960 | 0 | 0 | 0 |
Indigenous39 | 0 | 0 | 0 | 0 | 0 | 0 | 90 | 30 | 60 | 0 | 0 | 0 |
Non-Indigenous | 0 | 0 | 0 | 10 | 0 | 10 | 16,555 | 8,655 | 7,900 | 0 | 0 | 0 |
English and French | 0 | 0 | 0 | 0 | 0 | 0 | 1,270 | 595 | 675 | 0 | 0 | 0 |
English and non-official language(s) | 30 | 0 | 25 | 0 | 0 | 0 | 9,295 | 4,530 | 4,765 | 0 | 0 | 0 |
French and non-official language(s) | 0 | 0 | 0 | 0 | 0 | 0 | 6,620 | 3,610 | 3,005 | 0 | 0 | 0 |
English, French and non-official language(s) | 0 | 0 | 0 | 0 | 0 | 0 | 190 | 100 | 85 | 0 | 0 | 0 |
Multiple non-official languages | 0 | 0 | 0 | 0 | 0 | 0 | 1,895 | 1,035 | 865 | 0 | 0 | 0 |
Place of work status | ||||||||||||
Total - Place of work status for the employed labour force aged 15 years and over - 25% sample data198 | 270 | 130 | 140 | 445 | 260 | 185 | 971,245 | 502,885 | 468,360 | 250 | 135 | 110 |
Worked at home | 30 | 10 | 20 | 150 | 90 | 60 | 298,820 | 151,335 | 147,485 | 65 | 35 | 35 |
Worked outside Canada | 0 | 0 | 0 | 0 | 0 | 0 | 3,270 | 2,060 | 1,205 | 0 | 0 | 0 |
No fixed workplace address | 35 | 20 | 15 | 25 | 25 | 0 | 89,120 | 62,795 | 26,325 | 30 | 20 | 10 |
Usual place of work | 200 | 95 | 105 | 260 | 140 | 120 | 580,035 | 286,695 | 293,340 | 150 | 80 | 65 |
Commuting destination | ||||||||||||
Total - Commuting destination for the employed labour force aged 15 years and over with a usual place of work - 25% sample data199 | 205 | 95 | 105 | 260 | 140 | 120 | 580,035 | 286,695 | 293,340 | 150 | 85 | 65 |
Commute within census subdivision (CSD) of residence | 165 | 65 | 100 | 155 | 90 | 65 | 427,475 | 202,010 | 225,465 | 140 | 75 | 65 |
Commute to a different census subdivision (CSD) within census division (CD) of residence | 15 | 15 | 0 | 75 | 35 | 40 | 91,735 | 47,670 | 44,070 | 15 | 15 | 0 |
Commute to a different census subdivision (CSD) and census division (CD) within province or territory of residence | 15 | 10 | 0 | 30 | 15 | 15 | 58,865 | 35,690 | 23,175 | 0 | 0 | 0 |
Commute to a different province or territory | 0 | 0 | 0 | 0 | 0 | 0 | 1,955 | 1,320 | 635 | 0 | 0 | 0 |
Main mode of commuting | ||||||||||||
Total - Main mode of commuting for the employed labour force aged 15 years and over with a usual place of work or no fixed workplace address - 25% sample data200 | 240 | 115 | 120 | 285 | 165 | 120 | 669,150 | 349,485 | 319,665 | 180 | 105 | 80 |
Car, truck or van | 175 | 80 | 95 | 250 | 145 | 105 | 395,615 | 229,315 | 166,300 | 115 | 75 | 45 |
Car, truck or van - as a driver | 165 | 80 | 80 | 235 | 125 | 105 | 365,770 | 218,475 | 147,295 | 110 | 70 | 40 |
Car, truck or van - as a passenger | 15 | 0 | 15 | 15 | 15 | 0 | 29,845 | 10,845 | 19,005 | 10 | 0 | 0 |
Public transit | 55 | 25 | 30 | 15 | 0 | 10 | 177,860 | 74,605 | 103,260 | 60 | 30 | 35 |
Walked | 0 | 0 | 0 | 10 | 10 | 0 | 61,160 | 26,300 | 34,860 | 0 | 0 | 0 |
Bicycle | 0 | 0 | 0 | 0 | 0 | 0 | 21,435 | 12,640 | 8,795 | 0 | 0 | 0 |
Other method | 0 | 0 | 0 | 10 | 0 | 0 | 13,090 | 6,635 | 6,455 | 0 | 0 | 0 |
Commuting duration | ||||||||||||
Total - Commuting duration for the employed labour force aged 15 years and over with a usual place of work or no fixed workplace address - 25% sample data201 | 240 | 115 | 120 | 285 | 165 | 120 | 669,150 | 349,485 | 319,665 | 180 | 105 | 80 |
Less than 15 minutes | 60 | 30 | 25 | 60 | 35 | 30 | 125,240 | 61,185 | 64,055 | 45 | 15 | 30 |
15 to 29 minutes | 55 | 25 | 30 | 130 | 70 | 60 | 241,005 | 129,590 | 111,420 | 65 | 45 | 20 |
30 to 44 minutes | 50 | 20 | 35 | 80 | 55 | 25 | 176,925 | 96,710 | 80,215 | 30 | 25 | 0 |
45 to 59 minutes | 30 | 10 | 20 | 0 | 0 | 0 | 67,635 | 33,110 | 34,530 | 25 | 20 | 10 |
60 minutes and over | 45 | 35 | 15 | 10 | 0 | 0 | 58,350 | 28,905 | 29,445 | 15 | 0 | 15 |
Time leaving for work | ||||||||||||
Total - Time leaving for work for the employed labour force aged 15 years and over with a usual place of work or no fixed workplace address - 25% sample data202 | 240 | 115 | 120 | 285 | 165 | 120 | 669,150 | 349,485 | 319,665 | 180 | 105 | 80 |
Between 5 a.m. and 5:59 a.m. | 20 | 10 | 0 | 10 | 10 | 0 | 38,800 | 28,480 | 10,315 | 35 | 25 | 0 |
Between 6 a.m. and 6:59 a.m. | 25 | 10 | 10 | 70 | 50 | 15 | 95,270 | 56,280 | 38,990 | 15 | 10 | 0 |
Between 7 a.m. and 7:59 a.m. | 60 | 35 | 25 | 55 | 30 | 25 | 166,695 | 79,410 | 87,280 | 50 | 30 | 20 |
Between 8 a.m. and 8:59 a.m. | 55 | 20 | 35 | 55 | 25 | 30 | 149,185 | 68,865 | 80,320 | 15 | 0 | 15 |
Between 9 a.m. and 11:59 a.m. | 40 | 15 | 25 | 50 | 20 | 30 | 106,855 | 50,615 | 56,240 | 20 | 0 | 10 |
Between 12 p.m. and 4:59 a.m. | 40 | 25 | 15 | 45 | 30 | 15 | 112,350 | 65,830 | 46,520 | 50 | 30 | 25 |
Children eligible for instruction in the minority official language | ||||||||||||
Total - Eligibility for instruction in the minority official language for the population in private households born in 2003 or later - 100% data203 | 125 | 80 | 45 | 180 | 90 | 95 | 371,310 | 189,920 | 181,390 | 120 | 60 | 60 |
Children eligible for instruction in the minority official language | 25 | 15 | 15 | 50 | 20 | 30 | 109,065 | 56,315 | 52,750 | 55 | 30 | 25 |
Children not eligible for instruction in the minority official language | 100 | 65 | 40 | 135 | 65 | 65 | 262,245 | 133,605 | 128,640 | 60 | 30 | 30 |
Eligibility and instruction in the minority official language for school-aged children | ||||||||||||
Total - Eligibility and instruction in the minority official language, for the population in private households born between 2003 and 2015 (inclusive) - 100% data204 | 95 | 65 | 35 | 155 | 75 | 80 | 264,905 | 135,505 | 129,395 | 85 | 45 | 40 |
Children eligible for instruction in the minority official language | 20 | 15 | 10 | 35 | 10 | 25 | 82,880 | 42,755 | 40,130 | 45 | 25 | 20 |
Eligible children who have been instructed in the minority official language at the primary or secondary level in Canada | 20 | 10 | 5 | 30 | 10 | 15 | 67,535 | 34,945 | 32,590 | 35 | 20 | 15 |
Eligible children who have not been instructed in the minority official language at the primary or secondary level in Canada | 5 | 0 | 5 | 10 | 0 | 5 | 15,350 | 7,810 | 7,540 | 5 | 5 | 0 |
Children not eligible for instruction in the minority official language | 75 | 50 | 25 | 120 | 60 | 55 | 182,020 | 92,755 | 89,270 | 40 | 25 | 20 |
Symbol legend
- ...not applicable
- xsuppressed to meet the confidentiality requirements of the Statistics Act
Source
Source: Statistics Canada, 2021 Census of Population.
How to cite
How to cite: Statistics Canada. 2023. (table). Census Profile. 2021 Census of Population. Statistics Canada Catalogue no. 98-316-X2021001. Ottawa. Released November 15, 2023.
https://www12.statcan.gc.ca/census-recensement/2021/dp-pd/prof/index.cfm?Lang=E (accessed July 8, 2024).
Note(s):
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