Census Profile, 2021 Census of Population
Profile table
Characteristic | 48061460More information:
Alberta [Dissemination area] Remove |
48060206More information:
Alberta [Dissemination area] Remove |
Division No. 6, Census division (CDR)More information:
Alberta [Census division] Remove |
48062276More information:
Alberta [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 | 711 | ... | ... | 217 | ... | ... | 1,590,639 | ... | ... | 1,331 | ... | ... |
Population, 20161 | ... | ... | ... | ... | ... | ... | 1,498,778 | ... | ... | ... | ... | ... |
Population percentage change, 2016 to 2021 | ... | ... | ... | ... | ... | ... | 6.1 | ... | ... | ... | ... | ... |
Total private dwellings2 | 223 | ... | ... | 82 | ... | ... | 638,160 | ... | ... | 421 | ... | ... |
Private dwellings occupied by usual residents3 | 219 | ... | ... | 81 | ... | ... | 604,628 | ... | ... | 415 | ... | ... |
Population density per square kilometre | 2,119.9 | ... | ... | 1,951.4 | ... | ... | 126.1 | ... | ... | 3,556.0 | ... | ... |
Land area in square kilometres | 0.34 | ... | ... | 0.11 | ... | ... | 12,614.18 | ... | ... | 0.37 | ... | ... |
Age characteristics | ||||||||||||
Total - Age groups of the population - 100% data | 710 | 255 | 460 | 220 | 105 | 110 | 1,590,640 | 790,320 | 800,320 | 1,330 | 645 | 685 |
0 to 14 years | 80 | 50 | 35 | 35 | 20 | 15 | 294,075 | 151,285 | 142,785 | 265 | 125 | 140 |
0 to 4 years | 20 | 10 | 10 | 10 | 5 | 5 | 89,790 | 46,155 | 43,630 | 50 | 35 | 20 |
5 to 9 years | 25 | 15 | 10 | 15 | 10 | 5 | 100,905 | 51,680 | 49,225 | 85 | 45 | 40 |
10 to 14 years | 40 | 25 | 15 | 5 | 5 | 0 | 103,380 | 53,450 | 49,930 | 130 | 45 | 85 |
15 to 64 years | 340 | 155 | 190 | 130 | 65 | 65 | 1,074,770 | 535,540 | 539,230 | 915 | 445 | 475 |
15 to 19 years | 20 | 15 | 10 | 10 | 5 | 5 | 92,025 | 47,355 | 44,675 | 125 | 55 | 75 |
20 to 24 years | 20 | 10 | 5 | 15 | 5 | 15 | 91,515 | 47,260 | 44,260 | 70 | 40 | 35 |
25 to 29 years | 20 | 5 | 15 | 10 | 5 | 0 | 101,235 | 50,320 | 50,915 | 40 | 20 | 20 |
30 to 34 years | 35 | 15 | 15 | 10 | 5 | 10 | 123,235 | 60,255 | 62,980 | 50 | 25 | 25 |
35 to 39 years | 45 | 25 | 20 | 15 | 10 | 5 | 132,045 | 64,950 | 67,095 | 70 | 30 | 35 |
40 to 44 years | 30 | 15 | 15 | 15 | 10 | 5 | 121,735 | 60,110 | 61,625 | 105 | 50 | 55 |
45 to 49 years | 35 | 20 | 15 | 5 | 5 | 0 | 111,345 | 55,485 | 55,860 | 130 | 65 | 70 |
50 to 54 years | 35 | 20 | 20 | 10 | 5 | 5 | 103,325 | 51,835 | 51,490 | 130 | 60 | 70 |
55 to 59 years | 75 | 25 | 50 | 25 | 15 | 10 | 101,580 | 50,260 | 51,320 | 105 | 60 | 50 |
60 to 64 years | 35 | 15 | 20 | 15 | 5 | 10 | 96,735 | 47,710 | 49,020 | 75 | 40 | 30 |
65 years and over | 290 | 55 | 235 | 50 | 25 | 25 | 221,795 | 103,495 | 118,300 | 155 | 80 | 70 |
65 to 69 years | 50 | 25 | 20 | 15 | 5 | 5 | 78,095 | 38,250 | 39,845 | 70 | 40 | 30 |
70 to 74 years | 70 | 15 | 55 | 15 | 5 | 5 | 58,785 | 28,310 | 30,475 | 45 | 25 | 25 |
75 to 79 years | 15 | 10 | 10 | 10 | 5 | 5 | 36,570 | 17,235 | 19,340 | 20 | 10 | 5 |
80 to 84 years | 45 | 5 | 35 | 10 | 5 | 5 | 23,750 | 10,405 | 13,350 | 15 | 5 | 5 |
85 years and over | 120 | 5 | 110 | 5 | 0 | 0 | 24,595 | 9,300 | 15,290 | 5 | 0 | 5 |
85 to 89 years | 60 | 5 | 55 | 5 | 0 | 0 | 15,285 | 6,230 | 9,050 | 5 | 0 | 5 |
90 to 94 years | 40 | 0 | 40 | 0 | 0 | 0 | 7,425 | 2,580 | 4,850 | 0 | 0 | 0 |
95 to 99 years | 20 | 0 | 20 | 0 | 0 | 0 | 1,655 | 445 | 1,210 | 0 | 0 | 0 |
100 years and over | 0 | 0 | 0 | 0 | 0 | 0 | 225 | 45 | 180 | 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 | 11.3 | 19.6 | 7.6 | 15.9 | 19.0 | 13.6 | 18.5 | 19.1 | 17.8 | 19.9 | 19.4 | 20.4 |
15 to 64 years | 47.9 | 60.8 | 41.3 | 59.1 | 61.9 | 59.1 | 67.6 | 67.8 | 67.4 | 68.8 | 69.0 | 69.3 |
65 years and over | 40.8 | 21.6 | 51.1 | 22.7 | 23.8 | 22.7 | 13.9 | 13.1 | 14.8 | 11.7 | 12.4 | 10.2 |
85 years and over | 16.9 | 2.0 | 23.9 | 2.3 | 0.0 | 0.0 | 1.5 | 1.2 | 1.9 | 0.4 | 0.0 | 0.7 |
Average age of the population | 55.0 | 43.0 | 61.7 | 44.4 | 44.8 | 44.0 | 38.9 | 38.3 | 39.6 | 38.5 | 39.1 | 37.9 |
Median age of the population | 57.2 | 44.8 | 67.0 | 44.0 | 44.4 | 44.0 | 38.4 | 38.0 | 39.2 | 41.6 | 42.8 | 41.2 |
Household and dwelling characteristics | ||||||||||||
Total - Occupied private dwellings by structural type of dwelling - 100% data | 220 | ... | ... | 80 | ... | ... | 604,630 | ... | ... | 415 | ... | ... |
Single-detached house | 170 | ... | ... | 80 | ... | ... | 351,925 | ... | ... | 410 | ... | ... |
Semi-detached house | 5 | ... | ... | 0 | ... | ... | 39,065 | ... | ... | 0 | ... | ... |
Row house | 45 | ... | ... | 0 | ... | ... | 57,180 | ... | ... | 0 | ... | ... |
Apartment or flat in a duplex | 0 | ... | ... | 0 | ... | ... | 21,855 | ... | ... | 0 | ... | ... |
Apartment in a building that has fewer than five storeys | 0 | ... | ... | 0 | ... | ... | 89,225 | ... | ... | 0 | ... | ... |
Apartment in a building that has five or more storeys | 0 | ... | ... | 0 | ... | ... | 40,750 | ... | ... | 0 | ... | ... |
Other single-attached house | 0 | ... | ... | 0 | ... | ... | 380 | ... | ... | 0 | ... | ... |
Movable dwelling4 | 0 | ... | ... | 0 | ... | ... | 4,250 | ... | ... | 0 | ... | ... |
Total - Private households by household size - 100% data | 220 | ... | ... | 80 | ... | ... | 604,630 | ... | ... | 415 | ... | ... |
1 person | 60 | ... | ... | 10 | ... | ... | 151,770 | ... | ... | 40 | ... | ... |
2 persons | 85 | ... | ... | 35 | ... | ... | 196,980 | ... | ... | 115 | ... | ... |
3 persons | 35 | ... | ... | 5 | ... | ... | 96,165 | ... | ... | 80 | ... | ... |
4 persons | 25 | ... | ... | 25 | ... | ... | 97,780 | ... | ... | 120 | ... | ... |
5 or more persons | 10 | ... | ... | 5 | ... | ... | 61,930 | ... | ... | 70 | ... | ... |
Number of persons in private households | 520 | 255 | 265 | 215 | 105 | 110 | 1,571,935 | 782,210 | 789,725 | 1,335 | 645 | 685 |
Average household size | 2.4 | ... | ... | 2.7 | ... | ... | 2.6 | ... | ... | 3.2 | ... | ... |
Marital status | ||||||||||||
Total - Marital status for the total population aged 15 years and over - 100% data | 630 | 205 | 420 | 185 | 90 | 90 | 1,296,570 | 639,035 | 657,530 | 1,070 | 520 | 545 |
Married or living common-law | 270 | 135 | 140 | 135 | 75 | 65 | 773,480 | 387,015 | 386,465 | 720 | 360 | 355 |
Married | 200 | 100 | 100 | 125 | 65 | 65 | 657,160 | 328,650 | 328,510 | 680 | 345 | 340 |
Living common-law | 70 | 35 | 35 | 10 | 5 | 5 | 116,320 | 58,365 | 57,960 | 35 | 20 | 20 |
Living common law - Never married | 45 | 25 | 20 | 10 | 5 | 5 | 87,265 | 43,935 | 43,330 | 20 | 10 | 10 |
Living common law - Separated | 5 | 0 | 0 | 0 | 0 | 0 | 4,035 | 2,145 | 1,890 | 0 | 0 | 0 |
Living common law - Divorced | 20 | 10 | 10 | 0 | 0 | 0 | 23,185 | 11,490 | 11,690 | 10 | 5 | 5 |
Living common law - Widowed | 0 | 0 | 0 | 0 | 0 | 0 | 1,835 | 790 | 1,045 | 0 | 0 | 0 |
Not married and not living common-law | 355 | 75 | 285 | 45 | 20 | 25 | 523,090 | 252,020 | 271,065 | 350 | 165 | 185 |
Not married and not living common law - Never married | 120 | 50 | 65 | 30 | 15 | 20 | 364,145 | 197,890 | 166,255 | 265 | 130 | 135 |
Not married and not living common law - Separated | 10 | 5 | 5 | 0 | 0 | 0 | 29,375 | 12,665 | 16,710 | 20 | 10 | 5 |
Not married and not living common law - Divorced | 30 | 10 | 20 | 0 | 0 | 0 | 79,920 | 30,945 | 48,970 | 40 | 15 | 20 |
Not married and not living common law - Widowed | 200 | 5 | 195 | 10 | 0 | 10 | 49,640 | 10,520 | 39,125 | 25 | 5 | 20 |
Family characteristics | ||||||||||||
Total - Census families in private households by family size - 100% data5 | 150 | ... | ... | 75 | ... | ... | 438,900 | ... | ... | 385 | ... | ... |
2 persons | 85 | ... | ... | 45 | ... | ... | 204,395 | ... | ... | 140 | ... | ... |
3 persons | 35 | ... | ... | 5 | ... | ... | 94,815 | ... | ... | 90 | ... | ... |
4 persons | 25 | ... | ... | 25 | ... | ... | 97,660 | ... | ... | 115 | ... | ... |
5 or more persons | 5 | ... | ... | 5 | ... | ... | 42,025 | ... | ... | 45 | ... | ... |
Average size of census families | 2.7 | ... | ... | 2.8 | ... | ... | 3.0 | ... | ... | 3.2 | ... | ... |
Average number of children in census families with children6 | 1.6 | ... | ... | 1.9 | ... | ... | 1.8 | ... | ... | 1.9 | ... | ... |
Total number of census families in private households - 100% data | 155 | ... | ... | 70 | ... | ... | 438,900 | ... | ... | 390 | ... | ... |
Total couple families | 135 | ... | ... | 65 | ... | ... | 377,050 | ... | ... | 355 | ... | ... |
Married couples | 100 | ... | ... | 65 | ... | ... | 318,890 | ... | ... | 340 | ... | ... |
With children6 | 50 | ... | ... | 30 | ... | ... | 190,345 | ... | ... | 225 | ... | ... |
Without children | 55 | ... | ... | 35 | ... | ... | 128,545 | ... | ... | 115 | ... | ... |
Common-law couples | 35 | ... | ... | 5 | ... | ... | 58,160 | ... | ... | 15 | ... | ... |
With children6 | 15 | ... | ... | 0 | ... | ... | 19,165 | ... | ... | 10 | ... | ... |
Without children | 20 | ... | ... | 5 | ... | ... | 38,995 | ... | ... | 5 | ... | ... |
Total one-parent families | 20 | ... | ... | 5 | ... | ... | 61,850 | ... | ... | 35 | ... | ... |
in which the parent is a woman+ | 10 | ... | ... | 5 | ... | ... | 47,785 | ... | ... | 20 | ... | ... |
in which the parent is a man+ | 5 | ... | ... | 5 | ... | ... | 14,065 | ... | ... | 10 | ... | ... |
Total - Persons in private households - 100% data | 520 | 255 | 265 | 215 | 105 | 115 | 1,571,935 | 782,210 | 789,725 | 1,330 | 650 | 685 |
Total - Persons in census families | 420 | 210 | 205 | 200 | 100 | 100 | 1,308,650 | 651,540 | 657,110 | 1,245 | 615 | 635 |
Married spouses or common-law partners | 270 | 130 | 135 | 135 | 70 | 65 | 754,090 | 377,085 | 377,010 | 710 | 355 | 355 |
Parents in one-parent families | 20 | 5 | 15 | 5 | 0 | 0 | 61,855 | 14,065 | 47,790 | 30 | 15 | 25 |
Children6 | 130 | 75 | 55 | 65 | 30 | 30 | 492,710 | 260,395 | 232,315 | 505 | 245 | 255 |
In a two-parent family | 100 | 60 | 45 | 55 | 20 | 35 | 396,580 | 208,580 | 188,000 | 450 | 215 | 235 |
In a one-parent family | 25 | 15 | 15 | 5 | 5 | 0 | 96,130 | 51,815 | 44,315 | 50 | 30 | 20 |
Total - Persons not in census families in private households - 100% data | 100 | 45 | 60 | 15 | 5 | 10 | 263,280 | 130,670 | 132,615 | 85 | 35 | 50 |
Living alone | 60 | 20 | 35 | 15 | 5 | 5 | 151,765 | 71,605 | 80,165 | 35 | 15 | 20 |
Living with other relatives7 | 20 | 5 | 10 | 5 | 0 | 0 | 40,060 | 17,085 | 22,975 | 30 | 5 | 25 |
Living with non-relatives only | 25 | 15 | 5 | 0 | 0 | 0 | 71,460 | 41,975 | 29,480 | 20 | 10 | 5 |
Household type | ||||||||||||
Total - Household type - 100% data | 215 | ... | ... | 80 | ... | ... | 604,630 | ... | ... | 415 | ... | ... |
One-census-family households without additional persons | 135 | ... | ... | 60 | ... | ... | 375,185 | ... | ... | 330 | ... | ... |
Couple-family households | 120 | ... | ... | 65 | ... | ... | 328,515 | ... | ... | 305 | ... | ... |
With children6 | 50 | ... | ... | 30 | ... | ... | 182,665 | ... | ... | 205 | ... | ... |
Without children | 65 | ... | ... | 35 | ... | ... | 145,845 | ... | ... | 100 | ... | ... |
One-parent-family households | 10 | ... | ... | 5 | ... | ... | 46,670 | ... | ... | 20 | ... | ... |
Multigenerational households8 | 5 | ... | ... | 0 | ... | ... | 20,165 | ... | ... | 25 | ... | ... |
Multiple-census-family households9 | 0 | ... | ... | 0 | ... | ... | 4,730 | ... | ... | 5 | ... | ... |
One-census-family households with additional persons9 | 10 | ... | ... | 0 | ... | ... | 22,485 | ... | ... | 15 | ... | ... |
Two-or-more-person non-census-family households | 10 | ... | ... | 0 | ... | ... | 30,295 | ... | ... | 5 | ... | ... |
One-person households | 60 | ... | ... | 10 | ... | ... | 151,765 | ... | ... | 35 | ... | ... |
Income of individuals in 2020 | ||||||||||||
Total - Income statistics in 2020 for the population aged 15 years and over in private households - 100% data10 | 440 | 210 | 230 | 185 | 90 | 95 | 1,278,370 | 631,180 | 647,195 | 1,065 | 525 | 545 |
Number of total income recipients aged 15 years and over in private households in 2020 - 100% data | 420 | 200 | 220 | x | x | x | 1,214,945 | 600,280 | 614,665 | 980 | 495 | 485 |
Median total income in 2020 among recipients ($) | 43,600 | 52,000 | 39,200 | x | x | x | 44,800 | 52,400 | 39,200 | 50,400 | 69,500 | 38,800 |
Number of after-tax income recipients aged 15 years and over in private households in 2020 - 100% data | 420 | 200 | 220 | x | x | x | 1,215,665 | 600,680 | 614,980 | 980 | 495 | 485 |
Median after-tax income in 2020 among recipients ($) | 39,200 | 44,800 | 35,600 | x | x | x | 40,400 | 46,000 | 36,000 | 44,800 | 60,000 | 35,600 |
Number of market income recipients aged 15 years and over in private households in 2020 - 100% data | 385 | 185 | 200 | x | x | x | 1,105,625 | 556,335 | 549,290 | 920 | 470 | 445 |
Median market income in 2020 among recipients ($) | 36,400 | 45,200 | 27,600 | x | x | x | 40,800 | 50,000 | 32,400 | 46,800 | 67,500 | 32,800 |
Number of employment income recipients aged 15 years and over in private households in 2020 - 100% data | 280 | 145 | 135 | x | x | x | 922,195 | 474,800 | 447,395 | 755 | 405 | 350 |
Median employment income in 2020 among recipients ($) | 42,000 | 49,200 | 33,600 | x | x | x | 42,400 | 50,800 | 34,800 | 50,000 | 66,500 | 38,400 |
Number of government transfers recipients aged 15 years and over in private households in 2020 - 100% data | 370 | 165 | 205 | x | x | x | 1,061,305 | 515,795 | 545,510 | 815 | 405 | 410 |
Median government transfers in 2020 among recipients ($) | 12,300 | 12,000 | 12,500 | x | x | x | 7,600 | 5,600 | 9,100 | 5,760 | 4,800 | 6,160 |
Number of employment insurance benefits recipients aged 15 years and over in private households in 2020 - 100% data | 45 | 20 | 25 | x | x | x | 136,975 | 64,415 | 72,555 | 95 | 40 | 55 |
Median employment insurance benefits in 2020 among recipients ($) | 6,750 | 6,950 | 6,280 | x | x | x | 5,800 | 5,760 | 5,880 | 6,000 | 6,000 | 6,000 |
Number of COVID-19 emergency and recovery benefits recipients aged 15 years and over in private households in 2020 - 100% data | 115 | 55 | 60 | x | x | x | 384,535 | 184,820 | 199,710 | 280 | 140 | 145 |
Median COVID-19 emergency and recovery benefits in 2020 among recipients ($) | 9,500 | 9,200 | 9,500 | x | x | x | 8,000 | 8,000 | 8,500 | 9,000 | 10,000 | 8,200 |
Total - Income statistics in 2020 for the population aged 15 years and over in private households - 25% sample data11 | 405 | 200 | 195 | 195 | 100 | 95 | 1,278,375 | 631,155 | 647,220 | 1,135 | 565 | 570 |
Number of total income recipients aged 15 years and over in private households in 2020 - 25% sample data | 390 | 200 | 190 | x | x | x | 1,214,380 | 599,940 | 614,440 | 1,040 | 530 | 510 |
Average total income in 2020 among recipients ($) | 52,800 | 56,800 | 48,400 | x | x | x | 65,500 | 78,400 | 52,850 | 74,000 | 91,600 | 55,800 |
Number of after-tax income recipients aged 15 years and over in private households in 2020 - 25% sample data | 390 | 200 | 190 | x | x | x | 1,215,100 | 600,300 | 614,800 | 1,040 | 530 | 510 |
Average after-tax income in 2020 among recipients ($) | 45,800 | 48,800 | 42,400 | x | x | x | 53,050 | 61,750 | 44,560 | 58,000 | 70,400 | 45,200 |
Number of market income recipients aged 15 years and over in private households in 2020 - 25% sample data | 360 | 185 | 175 | x | x | x | 1,105,945 | 556,435 | 549,510 | 970 | 505 | 465 |
Average market income in 2020 among recipients ($) | 44,800 | 49,600 | 40,000 | x | x | x | 62,300 | 76,300 | 48,160 | 71,200 | 88,000 | 53,200 |
Number of employment income recipients aged 15 years and over in private households in 2020 - 25% sample data | 260 | 140 | 120 | x | x | x | 922,200 | 475,075 | 447,125 | 775 | 430 | 340 |
Average employment income in 2020 among recipients ($) | 49,600 | 52,000 | 46,000 | x | x | x | 60,800 | 73,200 | 47,640 | 72,000 | 87,200 | 53,200 |
Number of government transfers recipients aged 15 years and over in private households in 2020 - 25% sample data | 345 | 170 | 175 | x | x | x | 1,060,140 | 515,090 | 545,050 | 890 | 455 | 435 |
Average government transfers in 2020 among recipients ($) | 12,760 | 13,900 | 11,700 | x | x | x | 10,020 | 8,930 | 11,050 | 8,600 | 8,720 | 8,480 |
Number of employment insurance benefits recipients aged 15 years and over in private households in 2020 - 25% sample data | 55 | 40 | 15 | x | x | x | 136,685 | 64,550 | 72,135 | 80 | 50 | 30 |
Average employment insurance benefits in 2020 among recipients ($) | 8,000 | 9,000 | 5,000 | x | x | x | 7,070 | 6,620 | 7,480 | 8,800 | 8,800 | 8,500 |
Number of COVID-19 emergency and recovery benefits recipients aged 15 years and over in private households in 2020 - 25% sample data | 120 | 65 | 60 | x | x | x | 383,100 | 184,610 | 198,485 | 285 | 145 | 135 |
Average COVID-19 emergency and recovery benefits in 2020 among recipients ($) | 8,800 | 9,600 | 7,800 | x | x | x | 9,270 | 9,160 | 9,380 | 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 | 405 | 205 | 195 | 195 | 100 | 95 | 1,278,370 | 631,155 | 647,215 | 1,135 | 565 | 570 |
Number of employment income recipients in 2020 who worked full-year full-time in 2020 - 25% sample data13 | 125 | 75 | 55 | x | x | x | 432,255 | 245,295 | 186,965 | 385 | 235 | 150 |
Median employment income in 2020 for full-year full-time workers in 2020 ($)14 | 65,000 | 73,000 | 64,500 | x | x | x | 73,000 | 80,000 | 65,000 | 89,000 | 105,000 | 81,000 |
Average employment income in 2020 for full-year full-time workers in 2020 ($)15 | 73,000 | 76,000 | 68,000 | x | x | x | 94,000 | 107,000 | 76,900 | 109,200 | 125,000 | 84,000 |
Number of employment income recipients in 2020 who worked part-year or part-time in 2020 - 25% sample data16 | 105 | 55 | 50 | x | x | x | 374,345 | 173,060 | 201,290 | 280 | 130 | 150 |
Median employment income in 2020 of those who worked part-year or part-time in 2020 ($) | 15,500 | 7,950 | 40,800 | x | x | x | 20,400 | 23,400 | 18,400 | 16,800 | 9,100 | 20,600 |
Average employment income in 2020 of those who worked part-year or part-time in 2020 ($) | 32,500 | 26,000 | 39,000 | x | x | x | 33,960 | 40,480 | 28,360 | 36,400 | 46,000 | 28,000 |
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 | x | x | x | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 |
Market income (%)18 | 78.5 | 79.0 | 77.0 | x | x | x | 86.6 | 90.2 | 81.4 | 90.0 | 92.0 | 87.0 |
Employment income (%)19 | 63.0 | 64.0 | 62.0 | x | x | x | 70.6 | 74.0 | 65.6 | 72.8 | 78.0 | 64.0 |
Government transfers (%)20 | 21.6 | 20.8 | 22.8 | x | x | x | 13.4 | 9.8 | 18.5 | 10.0 | 8.2 | 13.0 |
Employment insurance benefits (%) | 2.2 | 3.2 | 0.8 | x | x | x | 1.2 | 0.9 | 1.7 | 0.9 | 0.9 | 0.9 |
COVID-19 - Government income support and benefits (%) | 5.9 | 6.0 | 5.8 | x | x | x | 5.0 | 3.9 | 6.5 | 4.1 | 3.3 | 5.4 |
COVID-19 - Emergency and recovery benefits (%) | 5.2 | 5.6 | 4.8 | x | x | x | 4.5 | 3.6 | 5.7 | 3.7 | 3.0 | 4.8 |
Total - Total income groups in 2020 for the population aged 15 years and over in private households - 100% data21 | 435 | 205 | 230 | x | x | x | 1,278,375 | 631,180 | 647,190 | 1,070 | 520 | 545 |
Without total income | 15 | 10 | 10 | x | x | x | 63,430 | 30,900 | 32,525 | 90 | 30 | 55 |
With total income | 415 | 200 | 220 | x | x | x | 1,214,950 | 600,280 | 614,670 | 975 | 490 | 490 |
Under $10,000 (including loss) | 25 | 5 | 20 | x | x | x | 107,500 | 44,415 | 63,085 | 110 | 40 | 70 |
$10,000 to $19,999 | 50 | 30 | 25 | x | x | x | 115,465 | 47,780 | 67,690 | 105 | 45 | 65 |
$20,000 to $29,999 | 70 | 35 | 35 | x | x | x | 178,230 | 78,800 | 99,430 | 110 | 55 | 60 |
$30,000 to $39,999 | 50 | 20 | 35 | x | x | x | 142,910 | 61,170 | 81,740 | 95 | 40 | 55 |
$40,000 to $49,999 | 40 | 15 | 25 | x | x | x | 122,655 | 55,960 | 66,690 | 65 | 20 | 40 |
$50,000 to $59,999 | 45 | 25 | 20 | x | x | x | 101,530 | 48,280 | 53,245 | 70 | 30 | 35 |
$60,000 to $69,999 | 45 | 15 | 25 | x | x | x | 85,080 | 42,725 | 42,355 | 35 | 15 | 15 |
$70,000 to $79,999 | 15 | 10 | 5 | x | x | x | 68,705 | 36,885 | 31,825 | 45 | 15 | 25 |
$80,000 to $89,999 | 20 | 10 | 10 | x | x | x | 53,900 | 30,515 | 23,385 | 45 | 25 | 20 |
$90,000 to $99,999 | 15 | 10 | 5 | x | x | x | 45,345 | 25,570 | 19,775 | 40 | 20 | 20 |
$100,000 and over | 45 | 30 | 15 | x | x | x | 193,625 | 128,165 | 65,460 | 260 | 180 | 80 |
$100,000 to $149,999 | 30 | 20 | 10 | x | x | x | 113,250 | 69,295 | 43,955 | 140 | 90 | 55 |
$150,000 and over | 15 | 10 | 5 | x | x | x | 80,375 | 58,870 | 21,505 | 115 | 95 | 25 |
Total - After-tax income groups in 2020 for the population aged 15 years and over in private households - 100% data22 | 435 | 205 | 230 | x | x | x | 1,278,375 | 631,180 | 647,190 | 1,070 | 520 | 545 |
Without after-tax income | 15 | 10 | 10 | x | x | x | 62,710 | 30,505 | 32,210 | 90 | 30 | 55 |
With after-tax income | 415 | 200 | 220 | x | x | x | 1,215,660 | 600,680 | 614,985 | 975 | 490 | 490 |
Under $10,000 (including loss) | 25 | 5 | 20 | x | x | x | 112,205 | 46,185 | 66,020 | 115 | 40 | 75 |
$10,000 to $19,999 | 50 | 30 | 20 | x | x | x | 120,545 | 50,115 | 70,430 | 115 | 45 | 70 |
$20,000 to $29,999 | 80 | 40 | 40 | x | x | x | 201,940 | 89,680 | 112,255 | 120 | 55 | 65 |
$30,000 to $39,999 | 60 | 20 | 40 | x | x | x | 166,565 | 73,405 | 93,160 | 105 | 45 | 60 |
$40,000 to $49,999 | 55 | 25 | 30 | x | x | x | 143,135 | 67,430 | 75,705 | 80 | 30 | 50 |
$50,000 to $59,999 | 50 | 25 | 20 | x | x | x | 114,565 | 57,190 | 57,380 | 50 | 25 | 25 |
$60,000 to $69,999 | 30 | 15 | 15 | x | x | x | 87,375 | 47,045 | 40,330 | 55 | 25 | 30 |
$70,000 to $79,999 | 20 | 15 | 10 | x | x | x | 65,115 | 36,810 | 28,305 | 55 | 35 | 20 |
$80,000 to $89,999 | 20 | 15 | 5 | x | x | x | 51,690 | 28,935 | 22,760 | 55 | 30 | 25 |
$90,000 to $99,999 | 5 | 5 | 0 | x | x | x | 35,160 | 21,215 | 13,945 | 45 | 30 | 15 |
$100,000 and over | 15 | 10 | 0 | x | x | x | 117,360 | 82,665 | 34,700 | 165 | 120 | 50 |
$100,000 to $124,999 | 5 | 5 | 0 | x | x | x | 48,950 | 32,240 | 16,710 | 65 | 40 | 25 |
$125,000 and over | 10 | 10 | 0 | x | x | x | 68,410 | 50,430 | 17,985 | 105 | 85 | 25 |
Total - Employment income groups in 2020 for the population aged 15 years and over in private households - 100% data19 | 435 | 205 | 230 | x | x | x | 1,278,375 | 631,180 | 647,190 | 1,070 | 520 | 545 |
Without employment income | 155 | 60 | 100 | x | x | x | 356,175 | 156,380 | 199,795 | 315 | 120 | 190 |
With employment income | 275 | 145 | 130 | x | x | x | 922,200 | 474,800 | 447,395 | 755 | 400 | 355 |
Under $5,000 (including loss) | 40 | 15 | 25 | x | x | x | 116,020 | 54,130 | 61,895 | 110 | 55 | 60 |
$5,000 to $9,999 | 25 | 15 | 10 | x | x | x | 73,350 | 31,190 | 42,165 | 80 | 45 | 35 |
$10,000 to $19,999 | 30 | 15 | 20 | x | x | x | 101,970 | 44,705 | 57,260 | 60 | 25 | 35 |
$20,000 to $29,999 | 15 | 10 | 10 | x | x | x | 78,390 | 35,640 | 42,745 | 50 | 20 | 35 |
$30,000 to $39,999 | 20 | 10 | 10 | x | x | x | 73,695 | 34,455 | 39,235 | 40 | 20 | 20 |
$40,000 to $49,999 | 20 | 10 | 5 | x | x | x | 71,335 | 34,515 | 36,815 | 45 | 20 | 25 |
$50,000 to $59,999 | 25 | 15 | 10 | x | x | x | 67,050 | 32,805 | 34,245 | 35 | 15 | 20 |
$60,000 to $69,999 | 25 | 5 | 15 | x | x | x | 60,120 | 30,900 | 29,220 | 35 | 15 | 20 |
$70,000 to $79,999 | 10 | 10 | 5 | x | x | x | 49,420 | 27,665 | 21,750 | 25 | 10 | 10 |
$80,000 to $89,999 | 15 | 10 | 10 | x | x | x | 40,555 | 23,400 | 17,160 | 30 | 15 | 20 |
$90,000 to $99,999 | 15 | 10 | 0 | x | x | x | 37,010 | 20,630 | 16,375 | 35 | 20 | 15 |
$100,000 and over | 35 | 30 | 10 | x | x | x | 153,280 | 104,755 | 48,525 | 210 | 150 | 60 |
$100,000 to $124,999 | 15 | 10 | 5 | x | x | x | 61,175 | 36,970 | 24,210 | 75 | 50 | 25 |
$125,000 and over | 20 | 15 | 0 | x | x | x | 92,100 | 67,780 | 24,320 | 140 | 100 | 35 |
Income of individuals in 2019 | ||||||||||||
Total - Income statistics in 2019 for the population aged 15 years and over in private households - 100% data23 | 440 | 210 | 230 | 185 | 90 | 95 | 1,278,370 | 631,180 | 647,195 | 1,065 | 525 | 545 |
Number of total income recipients aged 15 years and over in private households in 2019 - 100% data | 425 | 200 | 220 | x | x | x | 1,186,950 | 585,375 | 601,575 | 960 | 480 | 475 |
Median total income in 2019 among recipients ($) | 42,000 | 51,200 | 38,400 | x | x | x | 44,400 | 53,200 | 37,600 | 53,600 | 75,500 | 40,800 |
Number of after-tax income recipients aged 15 years and over in private households in 2019 - 100% data | 425 | 200 | 220 | x | x | x | 1,187,385 | 585,475 | 601,910 | 960 | 480 | 475 |
Median after-tax income in 2019 among recipients ($) | 38,800 | 45,200 | 34,800 | x | x | x | 40,000 | 46,400 | 34,400 | 46,800 | 62,800 | 36,800 |
Number of market income recipients aged 15 years and over in private households in 2019 - 100% data | 385 | 185 | 200 | x | x | x | 1,090,850 | 548,795 | 542,060 | 905 | 465 | 440 |
Median market income in 2019 among recipients ($) | 39,600 | 49,600 | 33,600 | x | x | x | 43,600 | 52,800 | 35,600 | 53,200 | 75,000 | 37,200 |
Number of employment income recipients aged 15 years and over in private households in 2019 - 100% data | 280 | 140 | 135 | x | x | x | 923,490 | 475,205 | 448,285 | 745 | 400 | 350 |
Median employment income in 2019 among recipients ($) | 45,200 | 54,800 | 38,400 | x | x | x | 44,800 | 53,600 | 37,600 | 55,200 | 79,500 | 42,400 |
Number of government transfers recipients aged 15 years and over in private households in 2019 - 100% data | 355 | 160 | 195 | x | x | x | 1,003,255 | 489,055 | 514,200 | 760 | 395 | 370 |
Median government transfers in 2019 among recipients ($) | 4,800 | 1,520 | 6,400 | x | x | x | 1,190 | 960 | 3,040 | 990 | 890 | 1,800 |
Number of employment insurance benefits recipients aged 15 years and over in private households in 2019 -100% data | 35 | 20 | 15 | x | x | x | 85,480 | 38,765 | 46,720 | 50 | 25 | 30 |
Median employment insurance benefits in 2019 among recipients ($) | 7,400 | 5,720 | x | x | x | x | 6,450 | 5,680 | 7,200 | 6,160 | 6,160 | 5,920 |
Total - Income statistics in 2019 for the population aged 15 years and over in private households - 25% sample data24 | 405 | 200 | 195 | 195 | 100 | 95 | 1,278,375 | 631,155 | 647,220 | 1,135 | 565 | 570 |
Number of total income recipients aged 15 years and over in private households in 2019 - 25% sample data | 390 | 195 | 190 | x | x | x | 1,186,410 | 585,100 | 601,310 | 1,020 | 530 | 490 |
Average total income in 2019 among recipients ($) | 52,000 | 55,200 | 48,800 | x | x | x | 65,500 | 80,000 | 51,400 | 70,800 | 89,200 | 51,000 |
Number of after-tax income recipients aged 15 years and over in private households in 2019 - 25% sample data | 390 | 195 | 190 | x | x | x | 1,186,820 | 585,185 | 601,635 | 1,020 | 530 | 490 |
Average after-tax income in 2019 among recipients ($) | 44,400 | 46,400 | 42,400 | x | x | x | 52,650 | 62,600 | 43,000 | 56,400 | 69,200 | 42,400 |
Number of market income recipients aged 15 years and over in private households in 2019 - 25% sample data | 360 | 185 | 175 | x | x | x | 1,091,545 | 549,110 | 542,435 | 935 | 500 | 435 |
Average market income in 2019 among recipients ($) | 47,600 | 51,600 | 43,600 | x | x | x | 65,600 | 80,800 | 50,200 | 73,000 | 90,800 | 52,600 |
Number of employment income recipients aged 15 years and over in private households in 2019 - 25% sample data | 260 | 130 | 130 | x | x | x | 923,490 | 475,385 | 448,110 | 765 | 430 | 330 |
Average employment income in 2019 among recipients ($) | 52,400 | 58,000 | 47,000 | x | x | x | 64,100 | 77,600 | 49,760 | 76,000 | 91,200 | 56,400 |
Number of government transfers recipients aged 15 years and over in private households in 2019 - 25% sample data | 335 | 160 | 180 | x | x | x | 1,003,375 | 489,190 | 514,180 | 840 | 440 | 395 |
Average government transfers in 2019 among recipients ($) | 8,920 | 8,600 | 9,200 | x | x | x | 6,130 | 5,076 | 7,130 | 4,710 | 4,460 | 4,960 |
Number of employment insurance benefits recipients aged 15 years and over in private households in 2019 - 25% sample data | 30 | 20 | 0 | x | x | x | 84,820 | 38,275 | 46,545 | 35 | 15 | 20 |
Average employment insurance benefits in 2019 among recipients ($) | 9,000 | 7,600 | ... | x | x | x | 8,200 | 7,120 | 9,080 | 5,200 | 6,000 | 4,500 |
Total - Employment income statistics in 2019 for the population aged 15 years and over in private households - 25% sample data25 | 405 | 205 | 195 | 195 | 100 | 95 | 1,278,370 | 631,155 | 647,215 | 1,135 | 565 | 570 |
Number of employment income recipients in 2019 who worked full-year full-time in 2020 - 25% sample data13 | 125 | 70 | 60 | x | x | x | 428,265 | 243,165 | 185,105 | 390 | 235 | 150 |
Median employment income in 2019 for full-year full-time workers in 2020 ($)14 | 54,800 | 54,800 | 54,800 | x | x | x | 70,500 | 78,500 | 62,000 | 83,000 | 100,000 | 77,000 |
Average employment income in 2019 for full-year full-time workers in 2020 ($)15 | 68,000 | 72,000 | 62,000 | x | x | x | 92,000 | 105,800 | 74,000 | 107,200 | 123,000 | 84,000 |
Number of employment income recipients in 2019 who worked part-year or part-time in 2020 - 25% sample data16 | 100 | 50 | 50 | x | x | x | 353,070 | 163,500 | 189,570 | 245 | 110 | 130 |
Median employment income in 2019 of those who worked part-year or part-time in 2020 ($) | 44,800 | 28,000 | 45,200 | x | x | x | 28,800 | 33,200 | 25,600 | 29,400 | 29,400 | 27,600 |
Average employment income in 2019 of those who worked part-year or part-time in 2020 ($) | 45,000 | 44,000 | 48,000 | x | x | x | 43,720 | 53,050 | 35,720 | 52,400 | 68,000 | 38,500 |
Composition of total income in 2019 of the population aged 15 years and over in private households (%) - 25% sample data | 100.0 | 100.0 | 100.0 | x | x | x | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 |
Market income (%) | 85.0 | 88.0 | 82.0 | x | x | x | 92.0 | 94.6 | 88.2 | 94.4 | 96.0 | 92.0 |
Employment income (%) | 68.0 | 70.0 | 66.0 | x | x | x | 76.2 | 78.8 | 72.2 | 80.4 | 83.0 | 75.0 |
Government transfers (%) | 14.7 | 12.4 | 17.2 | x | x | x | 7.9 | 5.3 | 11.9 | 5.4 | 4.2 | 7.9 |
Employment insurance benefits (%) | 1.4 | 1.6 | x | x | x | x | 0.9 | 0.6 | 1.4 | 0.2 | 0.3 | 0.3 |
Income of households in 2020 | ||||||||||||
Total - Income statistics for private households - 100% data26 | 220 | ... | ... | x | ... | ... | 604,630 | ... | ... | 415 | ... | ... |
Median total income of household in 2020 ($) | 90,000 | ... | ... | x | ... | ... | 100,000 | ... | ... | 160,000 | ... | ... |
Median after-tax income of household in 2020 ($) | 78,500 | ... | ... | x | ... | ... | 87,000 | ... | ... | 132,000 | ... | ... |
Total - Income statistics for one-person private households - 100% data | 60 | ... | ... | x | ... | ... | 151,765 | ... | ... | 35 | ... | ... |
Median total income of one-person households in 2020 ($) | 54,000 | ... | ... | x | ... | ... | 50,400 | ... | ... | 58,400 | ... | ... |
Median after-tax income of one-person households in 2020 ($) | 46,400 | ... | ... | x | ... | ... | 44,000 | ... | ... | 54,000 | ... | ... |
Total - Income statistics for two-or-more-persons private households - 100% data | 155 | ... | ... | x | ... | ... | 452,860 | ... | ... | 380 | ... | ... |
Median total income of two-or-more-person households in 2020 ($) | 109,000 | ... | ... | x | ... | ... | 120,000 | ... | ... | 168,000 | ... | ... |
Median after-tax income of two-or-more-person households in 2020 ($) | 94,000 | ... | ... | x | ... | ... | 104,000 | ... | ... | 139,000 | ... | ... |
Total - Income statistics for private households - 25% sample data27 | 210 | ... | ... | x | ... | ... | 604,630 | ... | ... | 425 | ... | ... |
Average total income of household in 2020 ($) | 99,000 | ... | ... | x | ... | ... | 131,600 | ... | ... | 180,000 | ... | ... |
Average after-tax income of household in 2020 ($) | 86,000 | ... | ... | x | ... | ... | 106,600 | ... | ... | 141,000 | ... | ... |
Total - Income statistics for one-person private households - 25% sample data | 65 | ... | ... | x | ... | ... | 151,830 | ... | ... | 40 | ... | ... |
Average total income of one-person households in 2020 ($) | 62,000 | ... | ... | x | ... | ... | 67,800 | ... | ... | 104,000 | ... | ... |
Average after-tax income of one-person households in 2020 ($) | 54,000 | ... | ... | x | ... | ... | 55,250 | ... | ... | 80,000 | ... | ... |
Total - Income statistics for two-or-more-persons private households - 25% sample data | 145 | ... | ... | x | ... | ... | 452,795 | ... | ... | 385 | ... | ... |
Average total income of two-or-more-person households in 2020 ($) | 116,000 | ... | ... | x | ... | ... | 152,800 | ... | ... | 188,000 | ... | ... |
Average after-tax income of two-or-more-person households in 2020 ($) | 100,000 | ... | ... | x | ... | ... | 123,800 | ... | ... | 147,500 | ... | ... |
Total - Household total income groups in 2020 for private households - 100% data21 | 220 | ... | ... | x | ... | ... | 604,630 | ... | ... | 415 | ... | ... |
Under $5,000 | 0 | ... | ... | x | ... | ... | 6,730 | ... | ... | 0 | ... | ... |
$5,000 to $9,999 | 0 | ... | ... | x | ... | ... | 3,245 | ... | ... | 0 | ... | ... |
$10,000 to $14,999 | 0 | ... | ... | x | ... | ... | 4,475 | ... | ... | 0 | ... | ... |
$15,000 to $19,999 | 0 | ... | ... | x | ... | ... | 6,245 | ... | ... | 0 | ... | ... |
$20,000 to $24,999 | 0 | ... | ... | x | ... | ... | 16,055 | ... | ... | 0 | ... | ... |
$25,000 to $29,999 | 10 | ... | ... | x | ... | ... | 16,860 | ... | ... | 0 | ... | ... |
$30,000 to $34,999 | 5 | ... | ... | x | ... | ... | 14,380 | ... | ... | 5 | ... | ... |
$35,000 to $39,999 | 5 | ... | ... | x | ... | ... | 16,415 | ... | ... | 0 | ... | ... |
$40,000 to $44,999 | 10 | ... | ... | x | ... | ... | 17,790 | ... | ... | 0 | ... | ... |
$45,000 to $49,999 | 10 | ... | ... | x | ... | ... | 17,750 | ... | ... | 10 | ... | ... |
$50,000 to $59,999 | 20 | ... | ... | x | ... | ... | 36,405 | ... | ... | 15 | ... | ... |
$60,000 to $69,999 | 15 | ... | ... | x | ... | ... | 37,740 | ... | ... | 15 | ... | ... |
$70,000 to $79,999 | 15 | ... | ... | x | ... | ... | 37,230 | ... | ... | 20 | ... | ... |
$80,000 to $89,999 | 10 | ... | ... | x | ... | ... | 35,705 | ... | ... | 10 | ... | ... |
$90,000 to $99,999 | 10 | ... | ... | x | ... | ... | 34,355 | ... | ... | 20 | ... | ... |
$100,000 and over | 100 | ... | ... | x | ... | ... | 303,255 | ... | ... | 305 | ... | ... |
$100,000 to $124,999 | 35 | ... | ... | x | ... | ... | 74,975 | ... | ... | 40 | ... | ... |
$125,000 to $149,999 | 20 | ... | ... | x | ... | ... | 58,215 | ... | ... | 40 | ... | ... |
$150,000 to $199,999 | 35 | ... | ... | x | ... | ... | 76,310 | ... | ... | 80 | ... | ... |
$200,000 and over | 10 | ... | ... | x | ... | ... | 93,755 | ... | ... | 140 | ... | ... |
Total - Household after-tax income groups in 2020 for private households - 100% data22 | 220 | ... | ... | x | ... | ... | 604,630 | ... | ... | 415 | ... | ... |
Under $5,000 | 0 | ... | ... | x | ... | ... | 7,625 | ... | ... | 0 | ... | ... |
$5,000 to $9,999 | 0 | ... | ... | x | ... | ... | 3,380 | ... | ... | 0 | ... | ... |
$10,000 to $14,999 | 0 | ... | ... | x | ... | ... | 4,615 | ... | ... | 0 | ... | ... |
$15,000 to $19,999 | 0 | ... | ... | x | ... | ... | 6,745 | ... | ... | 0 | ... | ... |
$20,000 to $24,999 | 5 | ... | ... | x | ... | ... | 17,335 | ... | ... | 0 | ... | ... |
$25,000 to $29,999 | 5 | ... | ... | x | ... | ... | 19,015 | ... | ... | 0 | ... | ... |
$30,000 to $34,999 | 5 | ... | ... | x | ... | ... | 16,770 | ... | ... | 5 | ... | ... |
$35,000 to $39,999 | 5 | ... | ... | x | ... | ... | 19,345 | ... | ... | 5 | ... | ... |
$40,000 to $44,999 | 10 | ... | ... | x | ... | ... | 21,320 | ... | ... | 5 | ... | ... |
$45,000 to $49,999 | 15 | ... | ... | x | ... | ... | 21,155 | ... | ... | 10 | ... | ... |
$50,000 to $59,999 | 15 | ... | ... | x | ... | ... | 44,695 | ... | ... | 10 | ... | ... |
$60,000 to $69,999 | 25 | ... | ... | x | ... | ... | 45,520 | ... | ... | 25 | ... | ... |
$70,000 to $79,999 | 15 | ... | ... | x | ... | ... | 44,095 | ... | ... | 25 | ... | ... |
$80,000 to $89,999 | 20 | ... | ... | x | ... | ... | 42,705 | ... | ... | 10 | ... | ... |
$90,000 to $99,999 | 15 | ... | ... | x | ... | ... | 38,715 | ... | ... | 25 | ... | ... |
$100,000 and over | 75 | ... | ... | x | ... | ... | 251,600 | ... | ... | 275 | ... | ... |
$100,000 to $124,999 | 30 | ... | ... | x | ... | ... | 78,970 | ... | ... | 55 | ... | ... |
$125,000 to $149,999 | 30 | ... | ... | x | ... | ... | 56,565 | ... | ... | 55 | ... | ... |
$150,000 and over | 20 | ... | ... | x | ... | ... | 116,060 | ... | ... | 170 | ... | ... |
Income of economic families in 2020 | ||||||||||||
Total - Income statistics for economic families in private households - 100% data28 | 150 | ... | ... | x | ... | ... | 431,155 | ... | ... | 375 | ... | ... |
Median total income of economic family in 2020 ($) | 109,000 | ... | ... | x | ... | ... | 120,000 | ... | ... | 168,000 | ... | ... |
Median after-tax income of economic family in 2020 ($) | 94,000 | ... | ... | x | ... | ... | 103,000 | ... | ... | 138,000 | ... | ... |
Average family size of economic families | 2.9 | ... | ... | 2.9 | ... | ... | 3.1 | ... | ... | 3.4 | ... | ... |
Total - Income statistics for couple-only economic families in private households - 100% data | 70 | ... | ... | x | ... | ... | 151,045 | ... | ... | 100 | ... | ... |
Median total income of couple-only economic families in 2020 ($) | 102,000 | ... | ... | x | ... | ... | 107,000 | ... | ... | 115,000 | ... | ... |
Median after-tax income of couple-only economic families in 2020 ($) | 87,000 | ... | ... | x | ... | ... | 92,000 | ... | ... | 101,000 | ... | ... |
Average family size of couple-only economic families | 2.0 | ... | ... | 2.0 | ... | ... | 2.0 | ... | ... | 2.0 | ... | ... |
Total - Income statistics for couple-with-children economic families in private households - 100% data | 60 | ... | ... | x | ... | ... | 209,715 | ... | ... | 235 | ... | ... |
Median total income of couple-with-children economic families in 2020 ($) | 125,000 | ... | ... | x | ... | ... | 144,000 | ... | ... | 194,000 | ... | ... |
Median after-tax income of couple-with-children economic families in 2020 ($) | 110,000 | ... | ... | x | ... | ... | 123,000 | ... | ... | 158,000 | ... | ... |
Average family size of couple-with-children economic families | 4.0 | ... | ... | 3.9 | ... | ... | 4.1 | ... | ... | 4.1 | ... | ... |
Total - Income statistics for one-parent economic families in private households - 100% data | 20 | ... | ... | x | ... | ... | 56,700 | ... | ... | 30 | ... | ... |
Median total income of one-parent economic families in 2020 ($) | x | ... | ... | x | ... | ... | 75,000 | ... | ... | 95,000 | ... | ... |
Median after-tax income of one-parent economic families in 2020 ($) | x | ... | ... | x | ... | ... | 68,500 | ... | ... | 92,000 | ... | ... |
Average family size of one-parent economic families | 2.6 | ... | ... | 3.2 | ... | ... | 2.7 | ... | ... | 2.8 | ... | ... |
Total - Income statistics for persons aged 15 years and over not in economic families in private households - 100% data29 | 85 | 35 | 45 | 15 | 0 | 10 | 223,225 | 113,580 | 109,645 | 55 | 25 | 30 |
Median total income in 2020 ($)30 | 43,600 | 42,000 | 52,000 | x | x | x | 44,400 | 46,000 | 43,200 | 55,600 | 56,800 | 48,400 |
Median after-tax income in 2020 ($)30 | 42,400 | 38,800 | 46,400 | x | x | x | 40,000 | 40,800 | 38,800 | 45,600 | 49,200 | 43,600 |
Total - Income statistics for economic families in private households - 25% sample data31 | 145 | ... | ... | x | ... | ... | 431,010 | ... | ... | 380 | ... | ... |
Average total income of economic family in 2020 ($) | 114,000 | ... | ... | x | ... | ... | 153,400 | ... | ... | 187,000 | ... | ... |
Average after-tax income of economic family in 2020 ($) | 98,000 | ... | ... | x | ... | ... | 123,800 | ... | ... | 147,500 | ... | ... |
Total - Income statistics for couple-only economic families in private households - 25% sample data | 70 | ... | ... | x | ... | ... | 151,205 | ... | ... | 85 | ... | ... |
Average total income of couple-only economic families in 2020 ($) | 96,000 | ... | ... | x | ... | ... | 141,000 | ... | ... | 168,000 | ... | ... |
Average after-tax income of couple-only economic families in 2020 ($) | 84,000 | ... | ... | x | ... | ... | 113,400 | ... | ... | 130,000 | ... | ... |
Total - Income statistics for couple-with-children economic families in private households - 25% sample data | 50 | ... | ... | x | ... | ... | 209,670 | ... | ... | 245 | ... | ... |
Average total income of couple-with-children economic families in 2020 ($) | 148,000 | ... | ... | x | ... | ... | 180,800 | ... | ... | 208,000 | ... | ... |
Average after-tax income of couple-with-children economic families in 2020 ($) | 124,000 | ... | ... | x | ... | ... | 144,600 | ... | ... | 164,000 | ... | ... |
Total - Income statistics for one-parent economic families in private households - 25% sample data | 25 | ... | ... | x | ... | ... | 56,445 | ... | ... | 35 | ... | ... |
Average total income of one-parent economic families in 2020 ($) | 90,000 | ... | ... | x | ... | ... | 90,200 | ... | ... | 120,000 | ... | ... |
Average after-tax income of one-parent economic families in 2020 ($) | 80,000 | ... | ... | x | ... | ... | 78,200 | ... | ... | 95,000 | ... | ... |
Total - Income statistics for persons aged 15 years and over not in economic families in private households - 25% sample data32 | 70 | 35 | 35 | 0 | 0 | 0 | 223,320 | 113,715 | 109,605 | 55 | 15 | 35 |
Average total income in 2020 ($)30 | 62,000 | 72,000 | 52,000 | x | x | x | 60,050 | 61,950 | 58,050 | 96,000 | 100,000 | 90,000 |
Average after-tax income in 2020 ($)30 | 54,000 | 60,000 | 48,000 | x | x | x | 49,640 | 50,640 | 48,560 | 72,000 | 70,000 | 72,000 |
Low income and income inequality in 2020 | ||||||||||||
Total - LIM low-income status in 2020 for the population in private households - 100% data33 | 520 | 255 | 265 | x | x | x | 1,571,935 | 782,210 | 789,725 | 1,330 | 645 | 680 |
0 to 17 years | 90 | 50 | 40 | x | x | x | 349,785 | 179,925 | 169,860 | 345 | 155 | 190 |
0 to 5 years | 25 | 10 | 15 | x | x | x | 109,785 | 56,290 | 53,495 | 65 | 40 | 25 |
18 to 64 years | 300 | 150 | 155 | x | x | x | 1,013,015 | 502,890 | 510,125 | 830 | 410 | 420 |
65 years and over | 125 | 55 | 75 | x | x | x | 209,135 | 99,390 | 109,740 | 155 | 80 | 70 |
In low income based on the Low-income measure, after tax (LIM-AT) | 50 | 20 | 25 | x | x | x | 134,160 | 64,550 | 69,610 | 35 | 20 | 15 |
0 to 17 years | 15 | 5 | 10 | x | x | x | 35,370 | 18,260 | 17,110 | 10 | 0 | 5 |
0 to 5 years | 0 | 5 | 0 | x | x | x | 11,490 | 5,880 | 5,610 | 0 | 0 | 0 |
18 to 64 years | 20 | 15 | 10 | x | x | x | 78,110 | 37,880 | 40,225 | 25 | 10 | 10 |
65 years and over | 15 | 5 | 10 | x | x | x | 20,680 | 8,400 | 12,270 | 0 | 0 | 0 |
Prevalence of low income based on the Low-income measure, after tax (LIM-AT) (%) | 10.0 | 9.0 | 11.0 | x | x | x | 8.5 | 8.3 | 8.8 | 2.8 | 2.8 | 2.8 |
0 to 17 years (%) | 16.0 | 12.0 | x | x | x | x | 10.1 | 10.2 | 10.1 | 2.5 | 2.5 | 2.5 |
0 to 5 years (%) | x | x | x | x | x | x | 10.5 | 10.5 | 10.5 | x | x | x |
18 to 64 years (%) | 7.2 | 7.0 | 7.0 | x | x | x | 7.7 | 7.5 | 7.9 | 3.2 | 3.2 | 3.2 |
65 years and over (%) | 12.0 | 10.0 | 12.0 | x | x | x | 9.9 | 8.5 | 11.2 | x | x | x |
Total - LICO low-income status in 2020 for the population in private households to whom the low-income concept is applicable - 100% data33 | 520 | 255 | 265 | x | x | x | 1,571,935 | 782,210 | 789,725 | 1,330 | 650 | 685 |
0 to 17 years | 90 | 55 | 35 | x | x | x | 349,790 | 179,930 | 169,855 | 350 | 160 | 190 |
0 to 5 years | 25 | 15 | 10 | x | x | x | 109,785 | 56,290 | 53,500 | 65 | 40 | 25 |
18 to 64 years | 305 | 145 | 155 | x | x | x | 1,013,015 | 502,890 | 510,130 | 830 | 410 | 420 |
65 years and over | 130 | 55 | 70 | x | x | x | 209,130 | 99,390 | 109,740 | 155 | 80 | 75 |
In low income based on the Low-income cut-offs, after tax (LICO-AT) | 35 | 15 | 15 | x | x | x | 81,680 | 42,310 | 39,370 | 25 | 10 | 15 |
0 to 17 years | 15 | 5 | 5 | x | x | x | 18,085 | 9,305 | 8,780 | 5 | 0 | 5 |
0 to 5 years | 0 | 0 | 0 | x | x | x | 5,625 | 2,890 | 2,730 | 0 | 0 | 0 |
18 to 64 years | 20 | 15 | 10 | x | x | x | 57,155 | 29,990 | 27,170 | 20 | 10 | 10 |
65 years and over | 0 | 0 | 0 | x | x | x | 6,440 | 3,015 | 3,420 | 0 | 0 | 0 |
Prevalence of low income based on the Low-income cut-offs, after tax (LICO-AT) (%) | 6.8 | 7.0 | 7.0 | x | x | x | 5.2 | 5.4 | 5.0 | 1.9 | 2.0 | 1.8 |
0 to 17 years (%) | x | x | x | x | x | x | 5.2 | 5.2 | 5.2 | x | x | x |
0 to 5 years (%) | x | x | x | x | x | x | 5.1 | 5.1 | 5.1 | x | x | x |
18 to 64 years (%) | 6.8 | 9.0 | 5.0 | x | x | x | 5.6 | 6.0 | 5.3 | 2.4 | 2.4 | 2.4 |
65 years and over (%) | x | x | x | x | x | x | 3.1 | 3.0 | 3.1 | x | x | x |
Total - Adjusted after-tax economic family income decile group for the population in private households - 100% data34 | 520 | 255 | 265 | x | x | x | 1,571,935 | 782,210 | 789,725 | 1,330 | 645 | 685 |
In bottom half of the distribution | 265 | 125 | 135 | x | x | x | 673,690 | 328,825 | 344,865 | 340 | 165 | 175 |
In bottom decile | 50 | 25 | 25 | x | x | x | 124,250 | 62,485 | 61,770 | 30 | 20 | 15 |
In second decile | 50 | 20 | 30 | x | x | x | 132,700 | 62,320 | 70,380 | 50 | 25 | 25 |
In third decile | 55 | 25 | 30 | x | x | x | 133,855 | 64,900 | 68,960 | 85 | 40 | 45 |
In fourth decile | 50 | 20 | 25 | x | x | x | 138,980 | 68,120 | 70,855 | 95 | 50 | 50 |
In fifth decile | 65 | 30 | 35 | x | x | x | 143,905 | 71,000 | 72,900 | 75 | 40 | 35 |
In top half of the distribution | 260 | 130 | 130 | x | x | x | 898,245 | 453,385 | 444,865 | 995 | 485 | 510 |
In sixth decile | 35 | 15 | 20 | x | x | x | 150,845 | 75,135 | 75,710 | 100 | 50 | 60 |
In seventh decile | 70 | 35 | 35 | x | x | x | 155,985 | 78,075 | 77,910 | 80 | 40 | 45 |
In eighth decile | 50 | 30 | 20 | x | x | x | 164,975 | 82,995 | 81,980 | 210 | 105 | 105 |
In ninth decile | 55 | 30 | 30 | x | x | x | 181,315 | 91,520 | 89,795 | 245 | 130 | 120 |
In top decile | 40 | 25 | 20 | x | x | x | 245,130 | 125,660 | 119,470 | 355 | 165 | 190 |
Total - Inequality measures for the population in private households - 100% data35 | 520 | ... | ... | x | ... | ... | 1,571,935 | ... | ... | 1,330 | ... | ... |
Gini index on adjusted household total income | 0.285 | ... | ... | x | ... | ... | 0.374 | ... | ... | 0.320 | ... | ... |
Gini index on adjusted household market income | 0.402 | ... | ... | x | ... | ... | 0.467 | ... | ... | 0.387 | ... | ... |
Gini index on adjusted household after-tax income | 0.255 | ... | ... | x | ... | ... | 0.326 | ... | ... | 0.272 | ... | ... |
P90/P10 ratio on adjusted household after-tax income | 3.4 | ... | ... | x | ... | ... | 4.0 | ... | ... | 3.6 | ... | ... |
Knowledge of official languages | ||||||||||||
Total - Knowledge of official languages for the total population excluding institutional residents - 100% data36 | 520 | 255 | 265 | 215 | 105 | 115 | 1,578,665 | 784,990 | 793,675 | 1,330 | 650 | 685 |
English only | 480 | 230 | 250 | 195 | 95 | 100 | 1,440,365 | 723,615 | 716,745 | 1,200 | 590 | 615 |
French only | 0 | 0 | 0 | 0 | 0 | 0 | 980 | 425 | 555 | 0 | 0 | 0 |
English and French | 35 | 15 | 20 | 25 | 15 | 10 | 103,090 | 47,140 | 55,945 | 100 | 50 | 50 |
Neither English nor French | 5 | 5 | 0 | 0 | 0 | 0 | 34,235 | 13,810 | 20,420 | 30 | 15 | 20 |
First official language spoken | ||||||||||||
Total - First official language spoken for the total population excluding institutional residents - 100% data37 | 520 | 255 | 265 | 215 | 105 | 115 | 1,578,665 | 784,990 | 793,675 | 1,330 | 650 | 685 |
English | 505 | 250 | 260 | 205 | 105 | 105 | 1,517,390 | 757,800 | 759,590 | 1,280 | 625 | 655 |
French | 0 | 0 | 0 | 10 | 0 | 5 | 20,675 | 10,250 | 10,425 | 10 | 10 | 5 |
English and French | 5 | 0 | 0 | 0 | 0 | 0 | 7,260 | 3,590 | 3,675 | 10 | 5 | 5 |
Neither English nor French | 5 | 5 | 0 | 0 | 0 | 0 | 33,340 | 13,355 | 19,985 | 30 | 15 | 20 |
Mother tongue | ||||||||||||
Total - Mother tongue for the total population excluding institutional residents - 100% data38 | 520 | 255 | 265 | 215 | 105 | 115 | 1,578,665 | 784,990 | 793,675 | 1,330 | 650 | 685 |
Single responses | 505 | 245 | 255 | 210 | 105 | 105 | 1,505,615 | 749,475 | 756,135 | 1,275 | 625 | 655 |
Official languages | 420 | 200 | 220 | 180 | 90 | 95 | 1,090,565 | 550,685 | 539,875 | 860 | 415 | 440 |
English | 415 | 200 | 220 | 175 | 85 | 90 | 1,070,475 | 540,715 | 529,760 | 850 | 410 | 440 |
French | 5 | 0 | 0 | 5 | 0 | 5 | 20,090 | 9,970 | 10,115 | 15 | 10 | 5 |
Non-official languages | 85 | 40 | 40 | 30 | 10 | 15 | 415,050 | 198,790 | 216,260 | 415 | 205 | 210 |
Indigenous languages39 | 0 | 0 | 0 | 0 | 0 | 0 | 645 | 270 | 380 | 0 | 0 | 0 |
Algonquian languages | 0 | 0 | 0 | 0 | 0 | 0 | 445 | 180 | 265 | 0 | 0 | 0 |
Blackfoot | 0 | 0 | 0 | 0 | 0 | 0 | 180 | 90 | 90 | 0 | 0 | 0 |
Cree-Innu languages | 0 | 0 | 0 | 0 | 0 | 0 | 205 | 75 | 125 | 0 | 0 | 0 |
Atikamekw | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Cree languages | 0 | 0 | 0 | 0 | 0 | 0 | 205 | 75 | 125 | 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 | 5 | 0 | 5 | 0 | 0 | 0 |
Nehinawewin (Swampy Cree) | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 5 | 0 | 0 | 0 |
Nehiyawewin (Plains Cree) | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 20 | 35 | 0 | 0 | 0 |
Nihithawiwin (Woods Cree) | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 0 | 0 | 0 |
Cree, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 130 | 55 | 80 | 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 | 5 | 0 | 0 | 0 | 0 | 0 |
Mi'kmaq | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 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 | 55 | 15 | 40 | 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 | 50 | 15 | 35 | 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 | 25 | 5 | 15 | 0 | 0 | 0 |
Ojibway, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 10 | 20 | 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 | 55 | 30 | 25 | 0 | 0 | 0 |
Northern Athabaskan languages | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 30 | 20 | 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 | 15 | 10 | 10 | 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 | 10 | 5 | 5 | 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 | 20 | 15 | 10 | 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 | 5 | 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 | 20 | 5 | 10 | 0 | 0 | 0 |
Inuinnaqtun (Inuvialuktun) | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 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 | 15 | 5 | 15 | 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 | 5 | 5 | 0 | 0 | 0 | 0 |
Cayuga | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Mohawk | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 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 | 15 | 5 | 5 | 0 | 0 | 0 |
Salish languages | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 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 | 90 | 30 | 60 | 0 | 0 | 0 |
Assiniboine | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Dakota | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 5 | 15 | 0 | 0 | 0 |
Stoney | 0 | 0 | 0 | 0 | 0 | 0 | 65 | 25 | 40 | 0 | 0 | 0 |
Siouan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 5 | 0 | 0 | 0 |
Tsimshian languages | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 |
Gitxsan (Gitksan) | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 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 | 5 | 5 | 0 | 0 | 0 | 0 |
Non-Indigenous languages | 85 | 40 | 40 | 30 | 10 | 15 | 414,405 | 198,525 | 215,885 | 415 | 205 | 210 |
Afro-Asiatic languages | 10 | 5 | 5 | 0 | 0 | 0 | 35,495 | 18,255 | 17,240 | 15 | 10 | 10 |
Berber languages | 0 | 0 | 0 | 0 | 0 | 0 | 135 | 75 | 65 | 0 | 0 | 0 |
Kabyle | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 50 | 50 | 0 | 0 | 0 |
Tamazight | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 20 | 10 | 0 | 0 | 0 |
Berber languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 0 | 0 | 0 | 0 |
Chadic languages | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 20 | 20 | 0 | 0 | 0 |
Hausa | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 20 | 20 | 0 | 0 | 0 |
Mina | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 0 | 0 | 0 |
Coptic | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 10 | 15 | 0 | 0 | 0 |
Cushitic languages | 0 | 0 | 0 | 0 | 0 | 0 | 3,200 | 1,600 | 1,600 | 0 | 0 | 0 |
Bilen | 0 | 0 | 0 | 0 | 0 | 0 | 170 | 85 | 85 | 0 | 0 | 0 |
Oromo | 0 | 0 | 0 | 0 | 0 | 0 | 1,395 | 700 | 700 | 0 | 0 | 0 |
Somali | 0 | 0 | 0 | 0 | 0 | 0 | 1,615 | 800 | 815 | 0 | 0 | 0 |
Cushitic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 20 | 5 | 0 | 0 | 0 |
Semitic languages | 10 | 5 | 5 | 0 | 0 | 0 | 32,085 | 16,545 | 15,535 | 15 | 10 | 10 |
Amharic | 0 | 0 | 0 | 0 | 0 | 0 | 4,515 | 2,170 | 2,345 | 0 | 0 | 0 |
Arabic | 10 | 5 | 5 | 0 | 0 | 0 | 21,355 | 11,215 | 10,145 | 10 | 5 | 5 |
Aramaic languages | 0 | 0 | 0 | 0 | 0 | 0 | 660 | 325 | 340 | 0 | 0 | 0 |
Assyrian Neo-Aramaic | 0 | 0 | 0 | 0 | 0 | 0 | 350 | 175 | 170 | 0 | 0 | 0 |
Chaldean Neo-Aramaic | 0 | 0 | 0 | 0 | 0 | 0 | 220 | 105 | 115 | 0 | 0 | 0 |
Aramaic, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 95 | 40 | 55 | 0 | 0 | 0 |
Harari | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 20 | 20 | 0 | 0 | 0 |
Hebrew | 0 | 0 | 0 | 0 | 0 | 0 | 480 | 240 | 240 | 0 | 0 | 0 |
Maltese | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 10 | 15 | 0 | 0 | 0 |
Tigrigna | 0 | 0 | 0 | 0 | 0 | 0 | 4,965 | 2,545 | 2,420 | 0 | 0 | 0 |
Semitic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 20 | 15 | 0 | 0 | 0 |
Austro-Asiatic languages | 0 | 0 | 0 | 0 | 0 | 0 | 14,785 | 6,645 | 8,140 | 15 | 10 | 5 |
Khmer (Cambodian) | 0 | 0 | 0 | 0 | 0 | 0 | 870 | 400 | 465 | 0 | 0 | 0 |
Vietnamese | 0 | 0 | 0 | 0 | 0 | 0 | 13,810 | 6,185 | 7,625 | 15 | 10 | 5 |
Austro-Asiatic languages, n.i.e | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 60 | 50 | 0 | 0 | 0 |
Austronesian languages | 10 | 0 | 5 | 0 | 0 | 0 | 55,755 | 24,650 | 31,110 | 0 | 0 | 0 |
Bikol | 0 | 0 | 0 | 0 | 0 | 0 | 235 | 105 | 130 | 0 | 0 | 0 |
Bisaya, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 970 | 415 | 555 | 0 | 0 | 0 |
Cebuano | 0 | 0 | 0 | 0 | 0 | 0 | 2,010 | 900 | 1,115 | 0 | 0 | 0 |
Fijian | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 25 | 25 | 0 | 0 | 0 |
Hiligaynon | 0 | 0 | 0 | 0 | 0 | 0 | 1,070 | 460 | 610 | 0 | 0 | 0 |
Ilocano | 0 | 0 | 0 | 0 | 0 | 0 | 3,610 | 1,630 | 1,980 | 0 | 0 | 0 |
Indonesian | 0 | 0 | 0 | 0 | 0 | 0 | 700 | 280 | 420 | 0 | 0 | 0 |
Kankanaey | 0 | 0 | 0 | 0 | 0 | 0 | 195 | 80 | 115 | 0 | 0 | 0 |
Kinaray-a | 0 | 0 | 0 | 0 | 0 | 0 | 90 | 40 | 50 | 0 | 0 | 0 |
Malagasy languages | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 15 | 10 | 0 | 0 | 0 |
Merina | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 |
Malagasy, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 15 | 10 | 0 | 0 | 0 |
Malay | 0 | 0 | 0 | 0 | 0 | 0 | 145 | 70 | 80 | 0 | 0 | 0 |
Pampangan (Kapampangan, Pampango) | 0 | 0 | 0 | 0 | 0 | 0 | 510 | 240 | 265 | 0 | 0 | 0 |
Pangasinan | 0 | 0 | 0 | 0 | 0 | 0 | 210 | 100 | 115 | 0 | 0 | 0 |
Tagalog (Pilipino, Filipino) | 5 | 0 | 5 | 0 | 0 | 0 | 45,300 | 20,005 | 25,290 | 0 | 0 | 0 |
Waray-Waray | 0 | 0 | 0 | 0 | 0 | 0 | 165 | 80 | 85 | 0 | 0 | 0 |
Austronesian languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 465 | 195 | 270 | 0 | 0 | 0 |
Creole languages | 0 | 0 | 0 | 0 | 0 | 0 | 605 | 300 | 310 | 0 | 0 | 0 |
Haitian Creole | 0 | 0 | 0 | 0 | 0 | 0 | 180 | 85 | 95 | 0 | 0 | 0 |
Jamaican English Creole | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 10 | 5 | 0 | 0 | 0 |
Krio | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 30 | 30 | 0 | 0 | 0 |
Morisyen | 0 | 0 | 0 | 0 | 0 | 0 | 105 | 50 | 55 | 0 | 0 | 0 |
Sango | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Creole, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 150 | 75 | 75 | 0 | 0 | 0 |
Creole languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 90 | 50 | 45 | 0 | 0 | 0 |
Dravidian languages | 0 | 0 | 0 | 0 | 0 | 0 | 6,750 | 3,470 | 3,280 | 5 | 5 | 5 |
Kannada | 0 | 0 | 0 | 0 | 0 | 0 | 355 | 180 | 180 | 0 | 0 | 0 |
Malayalam | 0 | 0 | 0 | 0 | 0 | 0 | 2,805 | 1,410 | 1,390 | 5 | 5 | 5 |
Tamil | 0 | 0 | 0 | 0 | 0 | 0 | 2,215 | 1,160 | 1,060 | 0 | 0 | 0 |
Telugu | 0 | 0 | 0 | 0 | 0 | 0 | 1,295 | 685 | 610 | 0 | 0 | 0 |
Tulu | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 20 | 25 | 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 | 120 | 70 | 55 | 0 | 0 | 0 |
Hmong-Mien languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Indo-European languages | 50 | 25 | 25 | 15 | 10 | 10 | 203,750 | 100,055 | 103,695 | 195 | 100 | 100 |
Albanian | 0 | 0 | 0 | 0 | 0 | 0 | 1,375 | 725 | 650 | 0 | 0 | 0 |
Armenian | 0 | 0 | 0 | 0 | 0 | 0 | 275 | 135 | 140 | 0 | 0 | 0 |
Balto-Slavic languages | 25 | 15 | 10 | 5 | 5 | 0 | 30,225 | 13,960 | 16,270 | 30 | 15 | 15 |
Baltic languages | 0 | 0 | 0 | 0 | 0 | 0 | 490 | 225 | 260 | 0 | 0 | 0 |
Latvian | 0 | 0 | 0 | 0 | 0 | 0 | 185 | 80 | 100 | 0 | 0 | 0 |
Lithuanian | 0 | 0 | 0 | 0 | 0 | 0 | 305 | 145 | 160 | 0 | 0 | 0 |
Slavic languages | 25 | 15 | 10 | 5 | 5 | 0 | 29,740 | 13,735 | 16,005 | 30 | 15 | 15 |
Belarusian | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 10 | 15 | 0 | 0 | 0 |
Bulgarian | 0 | 0 | 0 | 0 | 0 | 0 | 820 | 410 | 405 | 0 | 0 | 0 |
Czech | 0 | 0 | 0 | 0 | 0 | 0 | 1,405 | 645 | 760 | 0 | 0 | 0 |
Macedonian | 0 | 0 | 0 | 0 | 0 | 0 | 160 | 80 | 75 | 0 | 0 | 0 |
Polish | 10 | 5 | 5 | 5 | 0 | 0 | 7,595 | 3,540 | 4,050 | 5 | 0 | 5 |
Russian | 10 | 5 | 5 | 0 | 0 | 0 | 10,165 | 4,510 | 5,660 | 15 | 5 | 5 |
Rusyn | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 |
Serbo-Croatian | 0 | 0 | 0 | 0 | 0 | 0 | 4,905 | 2,385 | 2,520 | 0 | 0 | 0 |
Bosnian | 0 | 0 | 0 | 0 | 0 | 0 | 895 | 435 | 460 | 0 | 0 | 0 |
Croatian | 0 | 0 | 0 | 0 | 0 | 0 | 2,000 | 960 | 1,045 | 0 | 0 | 0 |
Serbian | 0 | 0 | 0 | 0 | 0 | 0 | 1,935 | 950 | 980 | 0 | 0 | 0 |
Serbo-Croatian, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 75 | 40 | 35 | 0 | 0 | 0 |
Slovak | 0 | 0 | 0 | 0 | 0 | 0 | 1,085 | 545 | 545 | 5 | 5 | 5 |
Slovene (Slovenian) | 0 | 0 | 0 | 0 | 0 | 0 | 225 | 95 | 130 | 0 | 0 | 0 |
Ukrainian | 0 | 0 | 0 | 0 | 0 | 0 | 3,340 | 1,500 | 1,840 | 0 | 0 | 0 |
Slavic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 0 | 0 | 0 |
Celtic languages | 0 | 0 | 0 | 0 | 0 | 0 | 125 | 65 | 55 | 0 | 0 | 0 |
Irish | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 15 | 15 | 0 | 0 | 0 |
Scottish Gaelic | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 5 | 15 | 0 | 0 | 0 |
Welsh | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 30 | 30 | 0 | 0 | 0 |
Celtic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 0 | 0 | 0 | 0 |
Germanic languages | 10 | 0 | 5 | 5 | 5 | 0 | 17,580 | 8,490 | 9,090 | 15 | 5 | 10 |
Frisian | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 25 | 20 | 0 | 0 | 0 |
High German languages | 0 | 0 | 5 | 0 | 0 | 0 | 10,660 | 5,055 | 5,600 | 5 | 5 | 5 |
German | 5 | 0 | 0 | 0 | 0 | 0 | 10,230 | 4,840 | 5,390 | 5 | 5 | 5 |
Pennsylvania German | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 0 | 0 |
Swiss German | 0 | 0 | 0 | 0 | 0 | 0 | 365 | 190 | 180 | 0 | 0 | 0 |
Yiddish | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 25 | 30 | 0 | 0 | 0 |
Low Saxon-Low Franconian languages | 5 | 0 | 0 | 0 | 0 | 0 | 5,565 | 2,755 | 2,810 | 10 | 5 | 10 |
Afrikaans | 0 | 0 | 0 | 0 | 0 | 0 | 1,230 | 595 | 640 | 0 | 0 | 0 |
Dutch | 5 | 0 | 0 | 0 | 0 | 0 | 3,870 | 1,930 | 1,935 | 5 | 5 | 5 |
Low German, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 30 | 20 | 0 | 0 | 0 |
Low Saxon | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 15 | 5 | 0 | 0 | 0 |
Plautdietsch | 0 | 0 | 0 | 0 | 0 | 0 | 295 | 135 | 165 | 0 | 0 | 0 |
Vlaams (Flemish) | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 55 | 45 | 0 | 0 | 0 |
Scandinavian languages | 0 | 0 | 0 | 0 | 0 | 0 | 1,290 | 635 | 650 | 0 | 0 | 0 |
Danish | 0 | 0 | 0 | 0 | 0 | 0 | 765 | 395 | 370 | 0 | 0 | 0 |
Icelandic | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 20 | 20 | 0 | 0 | 0 |
Norwegian | 0 | 0 | 0 | 0 | 0 | 0 | 210 | 90 | 115 | 0 | 0 | 0 |
Swedish | 0 | 0 | 0 | 0 | 0 | 0 | 270 | 125 | 145 | 0 | 0 | 0 |
Germanic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 20 | 10 | 0 | 0 | 0 |
Greek | 0 | 0 | 0 | 0 | 0 | 0 | 1,520 | 710 | 805 | 0 | 0 | 0 |
Indo-Iranian languages | 5 | 0 | 0 | 0 | 0 | 0 | 106,625 | 53,665 | 52,955 | 110 | 60 | 55 |
Indo-Aryan languages | 5 | 0 | 0 | 0 | 0 | 0 | 93,240 | 46,930 | 46,305 | 75 | 40 | 40 |
Assamese | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 25 | 25 | 0 | 0 | 0 |
Bengali | 0 | 0 | 0 | 0 | 0 | 0 | 4,455 | 2,230 | 2,230 | 5 | 5 | 5 |
Gujarati | 0 | 0 | 0 | 0 | 0 | 0 | 6,565 | 3,380 | 3,180 | 10 | 5 | 5 |
Hindi | 0 | 0 | 0 | 0 | 0 | 0 | 8,495 | 4,290 | 4,205 | 15 | 5 | 10 |
Kacchi | 0 | 0 | 0 | 0 | 0 | 0 | 1,080 | 475 | 605 | 0 | 0 | 0 |
Kashmiri | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 40 | 40 | 0 | 0 | 0 |
Konkani | 0 | 0 | 0 | 0 | 0 | 0 | 175 | 85 | 90 | 0 | 0 | 0 |
Marathi | 0 | 0 | 0 | 0 | 0 | 0 | 995 | 500 | 495 | 5 | 5 | 5 |
Nepali | 0 | 0 | 0 | 0 | 0 | 0 | 2,265 | 1,175 | 1,095 | 0 | 0 | 0 |
Oriya languages | 0 | 0 | 0 | 0 | 0 | 0 | 95 | 50 | 40 | 0 | 0 | 0 |
Odia | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 30 | 25 | 0 | 0 | 0 |
Oriya, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 20 | 20 | 0 | 0 | 0 |
Punjabi (Panjabi) | 0 | 0 | 0 | 0 | 0 | 0 | 49,105 | 24,690 | 24,420 | 20 | 10 | 10 |
Rohingya | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 10 | 10 | 0 | 0 | 0 |
Sindhi | 0 | 0 | 0 | 0 | 0 | 0 | 305 | 160 | 145 | 0 | 0 | 0 |
Sinhala (Sinhalese) | 0 | 0 | 0 | 0 | 0 | 0 | 1,030 | 505 | 525 | 5 | 0 | 5 |
Urdu | 0 | 0 | 0 | 0 | 0 | 0 | 17,875 | 8,975 | 8,905 | 15 | 10 | 10 |
Indo-Aryan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 645 | 340 | 305 | 0 | 0 | 0 |
Iranian languages | 0 | 0 | 0 | 0 | 0 | 0 | 13,350 | 6,720 | 6,630 | 30 | 15 | 10 |
Baluchi | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 30 | 15 | 0 | 0 | 0 |
Kurdish | 0 | 0 | 0 | 0 | 0 | 0 | 1,100 | 540 | 565 | 0 | 0 | 0 |
Parsi | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 10 | 15 | 0 | 0 | 0 |
Pashto | 0 | 0 | 0 | 0 | 0 | 0 | 2,020 | 1,035 | 990 | 0 | 0 | 0 |
Persian languages | 0 | 0 | 0 | 0 | 0 | 0 | 10,100 | 5,080 | 5,020 | 30 | 15 | 10 |
Dari | 0 | 0 | 0 | 0 | 0 | 0 | 3,045 | 1,520 | 1,525 | 5 | 5 | 5 |
Iranian Persian | 0 | 0 | 0 | 0 | 0 | 0 | 5,705 | 2,875 | 2,830 | 20 | 10 | 10 |
Persian (Farsi), n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 1,345 | 685 | 660 | 0 | 0 | 0 |
Iranian languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 30 | 30 | 0 | 0 | 0 |
Indo-Iranian languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 15 | 15 | 0 | 0 | 0 |
Italic (Romance) languages | 15 | 5 | 5 | 5 | 0 | 5 | 45,970 | 22,265 | 23,700 | 45 | 20 | 20 |
Catalan | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 20 | 25 | 0 | 0 | 0 |
Italian | 5 | 0 | 0 | 0 | 0 | 0 | 4,625 | 2,335 | 2,285 | 0 | 0 | 0 |
Portuguese | 0 | 0 | 0 | 5 | 0 | 5 | 4,540 | 2,160 | 2,375 | 5 | 0 | 5 |
Romanian | 0 | 0 | 0 | 0 | 0 | 0 | 4,585 | 2,265 | 2,315 | 0 | 0 | 0 |
Spanish | 10 | 5 | 5 | 0 | 0 | 0 | 32,170 | 15,475 | 16,695 | 35 | 15 | 15 |
Italic (Romance) languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 5 | 0 | 0 | 0 |
Indo-European languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 25 | 30 | 0 | 0 | 0 |
Japanese | 0 | 0 | 0 | 0 | 0 | 0 | 2,395 | 800 | 1,595 | 0 | 0 | 0 |
Korean | 0 | 0 | 0 | 5 | 0 | 5 | 10,745 | 4,940 | 5,800 | 30 | 20 | 10 |
Mongolian | 0 | 0 | 0 | 0 | 0 | 0 | 465 | 210 | 255 | 0 | 0 | 0 |
Niger-Congo languages | 0 | 0 | 0 | 0 | 0 | 0 | 6,430 | 3,245 | 3,185 | 5 | 0 | 0 |
Akan (Twi) | 0 | 0 | 0 | 0 | 0 | 0 | 705 | 360 | 340 | 0 | 0 | 0 |
Bamanankan | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 10 | 5 | 0 | 0 | 0 |
Edo | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 55 | 45 | 0 | 0 | 0 |
Éwé | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 30 | 20 | 0 | 0 | 0 |
Fulah (Pular, Pulaar, Fulfulde) | 0 | 0 | 0 | 0 | 0 | 0 | 85 | 40 | 45 | 0 | 0 | 0 |
Ga | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 20 | 20 | 0 | 0 | 0 |
Ganda | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 25 | 30 | 0 | 0 | 0 |
Gikuyu | 0 | 0 | 0 | 0 | 0 | 0 | 65 | 30 | 35 | 0 | 0 | 0 |
Igbo | 0 | 0 | 0 | 0 | 0 | 0 | 775 | 400 | 375 | 0 | 0 | 0 |
Kinyarwanda (Rwanda) | 0 | 0 | 0 | 0 | 0 | 0 | 200 | 95 | 100 | 0 | 0 | 0 |
Lingala | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 30 | 30 | 0 | 0 | 0 |
Luba-Kasai | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 5 | 15 | 0 | 0 | 0 |
Mòoré | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 0 | 0 | 0 |
Mwani | 0 | 0 | 0 | 0 | 0 | 0 | 120 | 60 | 60 | 0 | 0 | 0 |
Ndebele | 0 | 0 | 0 | 0 | 0 | 0 | 105 | 50 | 55 | 0 | 0 | 0 |
Rundi (Kirundi) | 0 | 0 | 0 | 0 | 0 | 0 | 145 | 65 | 80 | 0 | 0 | 0 |
Shona | 0 | 0 | 0 | 0 | 0 | 0 | 340 | 155 | 185 | 0 | 0 | 0 |
Soninke | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 0 | 0 | 0 | 0 |
Sotho-Tswana languages | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 15 | 30 | 0 | 0 | 0 |
Swahili | 0 | 0 | 0 | 0 | 0 | 0 | 790 | 385 | 410 | 0 | 0 | 0 |
Wojenaka | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 |
Wolof | 0 | 0 | 0 | 0 | 0 | 0 | 90 | 40 | 45 | 0 | 0 | 0 |
Yoruba | 0 | 0 | 0 | 0 | 0 | 0 | 1,845 | 970 | 875 | 0 | 0 | 0 |
Niger-Congo languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 765 | 375 | 395 | 0 | 0 | 0 |
Nilo-Saharan languages | 0 | 0 | 0 | 0 | 0 | 0 | 1,315 | 665 | 650 | 0 | 0 | 0 |
Dinka | 0 | 0 | 0 | 0 | 0 | 0 | 555 | 305 | 250 | 0 | 0 | 0 |
Nuer | 0 | 0 | 0 | 0 | 0 | 0 | 385 | 170 | 215 | 0 | 0 | 0 |
Nilo-Saharan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 315 | 160 | 160 | 0 | 0 | 0 |
African, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 30 | 25 | 0 | 0 | 0 |
Sign languages | 0 | 0 | 0 | 0 | 0 | 0 | 275 | 145 | 130 | 0 | 0 | 0 |
American Sign Language | 0 | 0 | 0 | 0 | 0 | 0 | 225 | 120 | 110 | 0 | 0 | 0 |
Quebec Sign Language | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Sign languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 20 | 25 | 0 | 0 | 0 |
Sino-Tibetan languages | 5 | 0 | 5 | 0 | 0 | 0 | 68,720 | 31,925 | 36,790 | 140 | 65 | 75 |
Chinese languages | 5 | 0 | 5 | 0 | 0 | 0 | 67,430 | 31,300 | 36,130 | 140 | 65 | 75 |
Hakka | 0 | 0 | 0 | 0 | 0 | 0 | 295 | 140 | 155 | 0 | 0 | 0 |
Mandarin | 0 | 0 | 0 | 0 | 0 | 0 | 31,950 | 14,765 | 17,190 | 90 | 45 | 50 |
Min Dong | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 15 | 15 | 0 | 0 | 0 |
Min Nan (Chaochow, Teochow, Fukien, Taiwanese) | 0 | 0 | 0 | 0 | 0 | 0 | 1,235 | 520 | 710 | 0 | 0 | 0 |
Wu (Shanghainese) | 0 | 0 | 0 | 0 | 0 | 0 | 260 | 125 | 130 | 5 | 0 | 0 |
Yue (Cantonese) | 5 | 0 | 0 | 0 | 0 | 0 | 32,755 | 15,315 | 17,435 | 40 | 20 | 20 |
Chinese, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 865 | 390 | 470 | 0 | 0 | 0 |
Chinese languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 20 | 15 | 0 | 0 | 0 |
Tibeto-Burman languages | 0 | 0 | 0 | 0 | 0 | 0 | 1,245 | 600 | 640 | 0 | 0 | 0 |
Burmese | 0 | 0 | 0 | 0 | 0 | 0 | 265 | 125 | 140 | 0 | 0 | 0 |
Kuki-Chin languages | 0 | 0 | 0 | 0 | 0 | 0 | 90 | 40 | 45 | 0 | 0 | 0 |
Karenic languages | 0 | 0 | 0 | 0 | 0 | 0 | 220 | 110 | 115 | 0 | 0 | 0 |
S'gaw Karen | 0 | 0 | 0 | 0 | 0 | 0 | 170 | 85 | 85 | 0 | 0 | 0 |
Karenic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 20 | 30 | 0 | 0 | 0 |
Tibetan | 0 | 0 | 0 | 0 | 0 | 0 | 635 | 320 | 325 | 0 | 0 | 0 |
Tibeto-Burman languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 15 | 20 | 0 | 0 | 0 |
Sino-Tibetan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 25 | 25 | 0 | 0 | 0 |
Tai-Kadai languages | 0 | 0 | 0 | 0 | 0 | 0 | 1,240 | 435 | 800 | 0 | 0 | 0 |
Lao | 0 | 0 | 0 | 0 | 0 | 0 | 460 | 220 | 245 | 0 | 0 | 0 |
Thai | 0 | 0 | 0 | 0 | 0 | 0 | 740 | 205 | 535 | 0 | 0 | 0 |
Tai-Kadai languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 15 | 20 | 0 | 0 | 0 |
Turkic languages | 0 | 0 | 0 | 0 | 0 | 0 | 1,955 | 1,050 | 900 | 0 | 0 | 0 |
Azerbaijani | 0 | 0 | 0 | 0 | 0 | 0 | 245 | 135 | 110 | 0 | 0 | 0 |
Kazakh | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 20 | 35 | 0 | 0 | 0 |
Turkish | 0 | 0 | 0 | 0 | 0 | 0 | 1,405 | 770 | 635 | 0 | 0 | 0 |
Uyghur | 0 | 0 | 0 | 0 | 0 | 0 | 65 | 30 | 35 | 0 | 0 | 0 |
Uzbek | 0 | 0 | 0 | 0 | 0 | 0 | 105 | 60 | 50 | 0 | 0 | 0 |
Turkic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 75 | 35 | 40 | 0 | 0 | 0 |
Uralic languages | 5 | 0 | 0 | 0 | 0 | 0 | 3,550 | 1,640 | 1,910 | 0 | 0 | 0 |
Estonian | 0 | 0 | 0 | 0 | 0 | 0 | 85 | 40 | 45 | 0 | 0 | 0 |
Finnish | 0 | 0 | 0 | 0 | 0 | 0 | 305 | 105 | 200 | 0 | 0 | 0 |
Hungarian | 5 | 0 | 0 | 0 | 0 | 0 | 3,155 | 1,490 | 1,665 | 0 | 0 | 0 |
Other languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 70 | 40 | 35 | 0 | 0 | 0 |
Multiple responses | 20 | 10 | 5 | 10 | 0 | 5 | 73,050 | 35,515 | 37,535 | 55 | 20 | 30 |
English and French | 0 | 0 | 0 | 5 | 5 | 0 | 6,360 | 3,080 | 3,285 | 5 | 0 | 5 |
English and non-official language(s) | 10 | 5 | 0 | 0 | 0 | 0 | 58,650 | 28,715 | 29,930 | 35 | 15 | 25 |
French and non-official language(s) | 0 | 0 | 0 | 0 | 0 | 0 | 1,230 | 605 | 630 | 0 | 0 | 0 |
English, French and non-official language(s) | 5 | 0 | 5 | 0 | 0 | 0 | 1,130 | 525 | 605 | 5 | 5 | 0 |
Multiple non-official languages | 0 | 0 | 0 | 0 | 0 | 0 | 5,680 | 2,595 | 3,085 | 5 | 0 | 5 |
All languages spoken at home | ||||||||||||
Total - All languages spoken at home for the total population excluding institutional residents - 100% data40 | 520 | 255 | 265 | 215 | 105 | 115 | 1,578,665 | 784,990 | 793,675 | 1,330 | 650 | 685 |
English | 440 | 215 | 225 | 195 | 95 | 100 | 1,104,225 | 556,180 | 548,045 | 875 | 425 | 450 |
French | 0 | 0 | 0 | 0 | 0 | 0 | 4,775 | 2,390 | 2,390 | 5 | 5 | 5 |
Non-official language | 25 | 15 | 10 | 0 | 0 | 0 | 127,600 | 60,835 | 66,760 | 120 | 60 | 55 |
Indigenous39 | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 25 | 30 | 0 | 0 | 0 |
Non-Indigenous | 25 | 15 | 10 | 0 | 0 | 0 | 127,540 | 60,810 | 66,730 | 120 | 60 | 55 |
English and French | 0 | 0 | 0 | 5 | 5 | 0 | 14,755 | 6,925 | 7,835 | 10 | 5 | 5 |
English and non-official language(s) | 50 | 25 | 25 | 10 | 5 | 5 | 306,635 | 148,985 | 157,650 | 305 | 150 | 160 |
French and non-official language(s) | 0 | 0 | 0 | 0 | 0 | 0 | 570 | 255 | 315 | 0 | 0 | 0 |
English, French and non-official language(s) | 5 | 5 | 0 | 0 | 0 | 0 | 7,715 | 3,605 | 4,105 | 5 | 5 | 5 |
Multiple non-official languages | 0 | 0 | 0 | 0 | 0 | 0 | 12,395 | 5,820 | 6,575 | 5 | 0 | 5 |
Language spoken most often at home | ||||||||||||
Total - Language spoken most often at home for the total population excluding institutional residents - 100% data41 | 520 | 255 | 265 | 215 | 105 | 115 | 1,578,665 | 784,990 | 793,675 | 1,330 | 650 | 685 |
Single responses | 510 | 250 | 260 | 210 | 100 | 110 | 1,503,115 | 748,130 | 754,985 | 1,250 | 610 | 645 |
Official languages | 465 | 225 | 240 | 205 | 100 | 105 | 1,243,700 | 622,455 | 621,250 | 995 | 485 | 515 |
English | 465 | 225 | 240 | 200 | 100 | 100 | 1,236,475 | 618,890 | 617,585 | 990 | 480 | 510 |
French | 0 | 0 | 0 | 0 | 0 | 0 | 7,230 | 3,560 | 3,665 | 10 | 5 | 0 |
Non-official languages | 50 | 20 | 25 | 5 | 0 | 0 | 259,415 | 125,675 | 133,740 | 255 | 125 | 130 |
Indigenous languages39 | 0 | 0 | 0 | 0 | 0 | 0 | 115 | 50 | 65 | 0 | 0 | 0 |
Algonquian languages | 0 | 0 | 0 | 0 | 0 | 0 | 75 | 40 | 40 | 0 | 0 | 0 |
Blackfoot | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 20 | 20 | 0 | 0 | 0 |
Cree-Innu languages | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 15 | 15 | 0 | 0 | 0 |
Atikamekw | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Cree languages | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 15 | 15 | 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 | 5 | 0 | 0 | 0 | 0 | 0 |
Nihithawiwin (Woods Cree) | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 |
Cree, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 15 | 10 | 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 | 10 | 5 | 5 | 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 | 10 | 5 | 5 | 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 | 5 | 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 | 10 | 5 | 5 | 0 | 0 | 0 |
Northern Athabaskan languages | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 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 | 5 | 0 | 5 | 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 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 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 | 5 | 5 | 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 | 25 | 5 | 15 | 0 | 0 | 0 |
Assiniboine | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Dakota | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 0 | 0 | 0 |
Stoney | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 5 | 10 | 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 | 50 | 20 | 25 | 5 | 0 | 0 | 259,295 | 125,620 | 133,675 | 255 | 125 | 130 |
Afro-Asiatic languages | 10 | 5 | 5 | 0 | 0 | 0 | 22,515 | 11,260 | 11,260 | 10 | 5 | 5 |
Berber languages | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 30 | 20 | 0 | 0 | 0 |
Kabyle | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 20 | 15 | 0 | 0 | 0 |
Tamazight | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 5 | 0 | 0 | 0 |
Berber languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 0 | 0 | 0 |
Chadic languages | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 10 | 10 | 0 | 0 | 0 |
Hausa | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 10 | 10 | 0 | 0 | 0 |
Mina | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Coptic | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 5 | 5 | 0 | 0 | 0 |
Cushitic languages | 0 | 0 | 0 | 0 | 0 | 0 | 2,145 | 1,040 | 1,105 | 0 | 0 | 0 |
Bilen | 0 | 0 | 0 | 0 | 0 | 0 | 130 | 65 | 70 | 0 | 0 | 0 |
Oromo | 0 | 0 | 0 | 0 | 0 | 0 | 1,005 | 505 | 505 | 0 | 0 | 0 |
Somali | 0 | 0 | 0 | 0 | 0 | 0 | 1,010 | 470 | 535 | 0 | 0 | 0 |
Cushitic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Semitic languages | 10 | 5 | 5 | 0 | 0 | 0 | 20,280 | 10,165 | 10,115 | 10 | 5 | 5 |
Amharic | 0 | 0 | 0 | 0 | 0 | 0 | 2,840 | 1,335 | 1,500 | 0 | 0 | 0 |
Arabic | 10 | 5 | 5 | 0 | 0 | 0 | 12,825 | 6,490 | 6,335 | 0 | 0 | 5 |
Aramaic languages | 0 | 0 | 0 | 0 | 0 | 0 | 510 | 250 | 265 | 0 | 0 | 0 |
Assyrian Neo-Aramaic | 0 | 0 | 0 | 0 | 0 | 0 | 265 | 130 | 135 | 0 | 0 | 0 |
Chaldean Neo-Aramaic | 0 | 0 | 0 | 0 | 0 | 0 | 160 | 75 | 80 | 0 | 0 | 0 |
Aramaic, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 90 | 45 | 45 | 0 | 0 | 0 |
Harari | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 10 | 15 | 0 | 0 | 0 |
Hebrew | 0 | 0 | 0 | 0 | 0 | 0 | 245 | 125 | 125 | 0 | 0 | 0 |
Maltese | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 0 | 0 | 0 |
Tigrigna | 0 | 0 | 0 | 0 | 0 | 0 | 3,805 | 1,940 | 1,865 | 0 | 0 | 0 |
Semitic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 10 | 10 | 0 | 0 | 0 |
Austro-Asiatic languages | 0 | 0 | 0 | 0 | 0 | 0 | 9,940 | 4,535 | 5,405 | 5 | 5 | 0 |
Khmer (Cambodian) | 0 | 0 | 0 | 0 | 0 | 0 | 465 | 205 | 260 | 0 | 0 | 0 |
Vietnamese | 0 | 0 | 0 | 0 | 0 | 0 | 9,395 | 4,280 | 5,110 | 5 | 5 | 0 |
Austro-Asiatic languages, n.i.e | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 45 | 35 | 0 | 0 | 0 |
Austronesian languages | 10 | 0 | 5 | 0 | 0 | 0 | 35,275 | 16,595 | 18,675 | 0 | 0 | 0 |
Bikol | 0 | 0 | 0 | 0 | 0 | 0 | 85 | 40 | 40 | 0 | 0 | 0 |
Bisaya, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 505 | 240 | 265 | 0 | 0 | 0 |
Cebuano | 0 | 0 | 0 | 0 | 0 | 0 | 1,190 | 580 | 605 | 0 | 0 | 0 |
Fijian | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 0 | 0 | 0 | 0 |
Hiligaynon | 0 | 0 | 0 | 0 | 0 | 0 | 580 | 280 | 295 | 0 | 0 | 0 |
Ilocano | 0 | 0 | 0 | 0 | 0 | 0 | 2,225 | 1,035 | 1,185 | 0 | 0 | 0 |
Indonesian | 0 | 0 | 0 | 0 | 0 | 0 | 225 | 115 | 110 | 0 | 0 | 0 |
Kankanaey | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 50 | 60 | 0 | 0 | 0 |
Kinaray-a | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 30 | 20 | 0 | 0 | 0 |
Malagasy languages | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 5 | 10 | 0 | 0 | 0 |
Merina | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Malagasy, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 5 | 5 | 0 | 0 | 0 |
Malay | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 20 | 20 | 0 | 0 | 0 |
Pampangan (Kapampangan, Pampango) | 0 | 0 | 0 | 0 | 0 | 0 | 255 | 130 | 130 | 0 | 0 | 0 |
Pangasinan | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 30 | 25 | 0 | 0 | 0 |
Tagalog (Pilipino, Filipino) | 10 | 0 | 5 | 0 | 0 | 0 | 29,630 | 13,885 | 15,750 | 0 | 0 | 0 |
Waray-Waray | 0 | 0 | 0 | 0 | 0 | 0 | 90 | 50 | 45 | 0 | 0 | 0 |
Austronesian languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 205 | 100 | 110 | 0 | 0 | 0 |
Creole languages | 0 | 0 | 0 | 0 | 0 | 0 | 340 | 160 | 180 | 0 | 0 | 0 |
Haitian Creole | 0 | 0 | 0 | 0 | 0 | 0 | 115 | 60 | 60 | 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 | 20 | 15 | 10 | 0 | 0 | 0 |
Morisyen | 0 | 0 | 0 | 0 | 0 | 0 | 70 | 35 | 40 | 0 | 0 | 0 |
Sango | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Creole, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 70 | 35 | 35 | 0 | 0 | 0 |
Creole languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 20 | 25 | 0 | 0 | 0 |
Dravidian languages | 0 | 0 | 0 | 0 | 0 | 0 | 4,410 | 2,205 | 2,205 | 5 | 0 | 0 |
Kannada | 0 | 0 | 0 | 0 | 0 | 0 | 190 | 95 | 95 | 0 | 0 | 0 |
Malayalam | 0 | 0 | 0 | 0 | 0 | 0 | 1,900 | 940 | 960 | 0 | 0 | 0 |
Tamil | 0 | 0 | 0 | 0 | 0 | 0 | 1,495 | 760 | 730 | 0 | 0 | 0 |
Telugu | 0 | 0 | 0 | 0 | 0 | 0 | 785 | 390 | 395 | 0 | 0 | 0 |
Tulu | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 15 | 15 | 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 | 75 | 40 | 30 | 0 | 0 | 0 |
Hmong-Mien languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Indo-European languages | 20 | 10 | 10 | 0 | 0 | 0 | 122,940 | 60,715 | 62,220 | 115 | 55 | 60 |
Albanian | 0 | 0 | 0 | 0 | 0 | 0 | 625 | 330 | 295 | 0 | 0 | 0 |
Armenian | 0 | 0 | 0 | 0 | 0 | 0 | 140 | 65 | 75 | 0 | 0 | 0 |
Balto-Slavic languages | 10 | 5 | 10 | 0 | 0 | 0 | 14,005 | 6,710 | 7,295 | 5 | 0 | 0 |
Baltic languages | 0 | 0 | 0 | 0 | 0 | 0 | 215 | 110 | 105 | 0 | 0 | 0 |
Latvian | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 40 | 40 | 0 | 0 | 0 |
Lithuanian | 0 | 0 | 0 | 0 | 0 | 0 | 135 | 70 | 70 | 0 | 0 | 0 |
Slavic languages | 10 | 5 | 10 | 0 | 0 | 0 | 13,790 | 6,605 | 7,190 | 5 | 0 | 0 |
Belarusian | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 0 | 0 | 0 |
Bulgarian | 0 | 0 | 0 | 0 | 0 | 0 | 380 | 180 | 195 | 0 | 0 | 0 |
Czech | 0 | 0 | 0 | 0 | 0 | 0 | 410 | 190 | 220 | 0 | 0 | 0 |
Macedonian | 0 | 0 | 0 | 0 | 0 | 0 | 85 | 40 | 40 | 0 | 0 | 0 |
Polish | 5 | 0 | 0 | 0 | 0 | 0 | 3,015 | 1,450 | 1,560 | 0 | 0 | 0 |
Russian | 5 | 0 | 5 | 0 | 0 | 0 | 6,450 | 3,065 | 3,385 | 5 | 5 | 5 |
Rusyn | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Serbo-Croatian | 0 | 0 | 0 | 0 | 0 | 0 | 2,020 | 980 | 1,035 | 0 | 0 | 0 |
Bosnian | 0 | 0 | 0 | 0 | 0 | 0 | 370 | 180 | 185 | 0 | 0 | 0 |
Croatian | 0 | 0 | 0 | 0 | 0 | 0 | 715 | 335 | 375 | 0 | 0 | 0 |
Serbian | 0 | 0 | 0 | 0 | 0 | 0 | 925 | 460 | 465 | 0 | 0 | 0 |
Serbo-Croatian, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 0 | 0 | 0 |
Slovak | 0 | 0 | 0 | 0 | 0 | 0 | 405 | 190 | 215 | 0 | 0 | 0 |
Slovene (Slovenian) | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 20 | 20 | 0 | 0 | 0 |
Ukrainian | 0 | 0 | 0 | 0 | 0 | 0 | 980 | 470 | 515 | 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 | 15 | 10 | 15 | 0 | 0 | 0 |
Irish | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 0 | 0 | 0 |
Scottish Gaelic | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 0 | 0 | 0 |
Welsh | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 0 | 0 | 0 |
Celtic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 0 | 0 | 0 |
Germanic languages | 0 | 0 | 0 | 0 | 0 | 0 | 3,010 | 1,440 | 1,570 | 10 | 0 | 5 |
Frisian | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 5 | 0 | 0 | 0 |
High German languages | 0 | 0 | 0 | 0 | 0 | 0 | 1,705 | 825 | 880 | 0 | 0 | 0 |
German | 0 | 0 | 0 | 0 | 0 | 0 | 1,630 | 785 | 845 | 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 | 70 | 30 | 35 | 0 | 0 | 0 |
Yiddish | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 0 | 0 | 0 | 0 |
Low Saxon-Low Franconian languages | 0 | 0 | 0 | 0 | 0 | 0 | 1,120 | 530 | 590 | 0 | 0 | 0 |
Afrikaans | 0 | 0 | 0 | 0 | 0 | 0 | 635 | 305 | 330 | 0 | 0 | 0 |
Dutch | 0 | 0 | 0 | 0 | 0 | 0 | 455 | 210 | 245 | 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 | 10 | 5 | 5 | 0 | 0 | 0 |
Vlaams (Flemish) | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 10 | 15 | 0 | 0 | 0 |
Scandinavian languages | 0 | 0 | 0 | 0 | 0 | 0 | 165 | 75 | 90 | 0 | 0 | 0 |
Danish | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 25 | 25 | 0 | 0 | 0 |
Icelandic | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 0 | 0 | 0 |
Norwegian | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 5 | 15 | 0 | 0 | 0 |
Swedish | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 30 | 45 | 0 | 0 | 0 |
Germanic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 0 | 0 | 0 |
Greek | 0 | 0 | 0 | 0 | 0 | 0 | 480 | 215 | 265 | 0 | 0 | 0 |
Indo-Iranian languages | 0 | 0 | 0 | 0 | 0 | 0 | 79,180 | 39,590 | 39,590 | 65 | 30 | 35 |
Indo-Aryan languages | 0 | 0 | 0 | 0 | 0 | 0 | 70,335 | 35,225 | 35,110 | 45 | 20 | 25 |
Assamese | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 10 | 15 | 0 | 0 | 0 |
Bengali | 0 | 0 | 0 | 0 | 0 | 0 | 2,975 | 1,455 | 1,520 | 0 | 0 | 0 |
Gujarati | 0 | 0 | 0 | 0 | 0 | 0 | 4,225 | 2,175 | 2,045 | 5 | 5 | 0 |
Hindi | 0 | 0 | 0 | 0 | 0 | 0 | 5,510 | 2,770 | 2,740 | 5 | 0 | 5 |
Kacchi | 0 | 0 | 0 | 0 | 0 | 0 | 580 | 245 | 340 | 0 | 0 | 0 |
Kashmiri | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 25 | 30 | 0 | 0 | 0 |
Konkani | 0 | 0 | 0 | 0 | 0 | 0 | 70 | 35 | 35 | 0 | 0 | 0 |
Marathi | 0 | 0 | 0 | 0 | 0 | 0 | 575 | 285 | 285 | 5 | 5 | 5 |
Nepali | 0 | 0 | 0 | 0 | 0 | 0 | 1,590 | 815 | 775 | 0 | 0 | 0 |
Oriya languages | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 20 | 20 | 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 | 15 | 5 | 5 | 0 | 0 | 0 |
Punjabi (Panjabi) | 0 | 0 | 0 | 0 | 0 | 0 | 40,675 | 20,425 | 20,245 | 10 | 5 | 0 |
Rohingya | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 0 | 0 | 0 |
Sindhi | 0 | 0 | 0 | 0 | 0 | 0 | 170 | 90 | 85 | 0 | 0 | 0 |
Sinhala (Sinhalese) | 0 | 0 | 0 | 0 | 0 | 0 | 555 | 270 | 285 | 0 | 0 | 0 |
Urdu | 0 | 0 | 0 | 0 | 0 | 0 | 12,930 | 6,420 | 6,510 | 15 | 5 | 5 |
Indo-Aryan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 355 | 175 | 185 | 0 | 0 | 0 |
Iranian languages | 0 | 0 | 0 | 0 | 0 | 0 | 8,825 | 4,360 | 4,475 | 25 | 15 | 15 |
Baluchi | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 15 | 15 | 0 | 0 | 0 |
Kurdish | 0 | 0 | 0 | 0 | 0 | 0 | 750 | 360 | 395 | 0 | 0 | 0 |
Parsi | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 0 | 0 | 0 |
Pashto | 0 | 0 | 0 | 0 | 0 | 0 | 1,250 | 635 | 615 | 0 | 0 | 0 |
Persian languages | 0 | 0 | 0 | 0 | 0 | 0 | 6,765 | 3,325 | 3,435 | 25 | 15 | 15 |
Dari | 0 | 0 | 0 | 0 | 0 | 0 | 1,880 | 905 | 970 | 5 | 5 | 5 |
Iranian Persian | 0 | 0 | 0 | 0 | 0 | 0 | 3,970 | 1,965 | 2,015 | 20 | 10 | 10 |
Persian (Farsi), n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 910 | 460 | 455 | 0 | 0 | 0 |
Iranian languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 10 | 15 | 0 | 0 | 0 |
Indo-Iranian languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 5 | 0 | 0 | 0 |
Italic (Romance) languages | 5 | 5 | 5 | 0 | 0 | 0 | 25,440 | 12,340 | 13,100 | 30 | 15 | 15 |
Catalan | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 15 | 20 | 0 | 0 | 0 |
Italian | 0 | 0 | 0 | 0 | 0 | 0 | 1,000 | 450 | 550 | 0 | 0 | 0 |
Portuguese | 0 | 0 | 0 | 0 | 0 | 0 | 2,410 | 1,180 | 1,230 | 0 | 0 | 0 |
Romanian | 0 | 0 | 0 | 0 | 0 | 0 | 2,175 | 1,085 | 1,085 | 0 | 0 | 0 |
Spanish | 5 | 5 | 5 | 0 | 0 | 0 | 19,825 | 9,605 | 10,215 | 25 | 15 | 15 |
Italic (Romance) languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 0 | 0 | 0 |
Indo-European languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 20 | 20 | 0 | 0 | 0 |
Japanese | 0 | 0 | 0 | 0 | 0 | 0 | 1,160 | 495 | 665 | 0 | 0 | 0 |
Korean | 0 | 0 | 0 | 0 | 0 | 0 | 8,130 | 3,835 | 4,295 | 30 | 20 | 10 |
Mongolian | 0 | 0 | 0 | 0 | 0 | 0 | 305 | 135 | 170 | 0 | 0 | 0 |
Niger-Congo languages | 0 | 0 | 0 | 0 | 0 | 0 | 2,170 | 1,030 | 1,140 | 0 | 0 | 0 |
Akan (Twi) | 0 | 0 | 0 | 0 | 0 | 0 | 335 | 160 | 170 | 0 | 0 | 0 |
Bamanankan | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 0 | 0 | 0 |
Edo | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 5 | 0 | 0 | 0 |
Éwé | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 5 | 0 | 0 | 0 |
Fulah (Pular, Pulaar, Fulfulde) | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 25 | 25 | 0 | 0 | 0 |
Ga | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 5 | 5 | 0 | 0 | 0 |
Ganda | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 5 | 10 | 0 | 0 | 0 |
Gikuyu | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 5 | 5 | 0 | 0 | 0 |
Igbo | 0 | 0 | 0 | 0 | 0 | 0 | 200 | 100 | 100 | 0 | 0 | 0 |
Kinyarwanda (Rwanda) | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 40 | 45 | 0 | 0 | 0 |
Lingala | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 10 | 20 | 0 | 0 | 0 |
Luba-Kasai | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 10 | 0 | 0 | 0 |
Mòoré | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Mwani | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 10 | 10 | 0 | 0 | 0 |
Ndebele | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 20 | 25 | 0 | 0 | 0 |
Rundi (Kirundi) | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 25 | 30 | 0 | 0 | 0 |
Shona | 0 | 0 | 0 | 0 | 0 | 0 | 105 | 45 | 55 | 0 | 0 | 0 |
Soninke | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 0 | 0 | 0 |
Sotho-Tswana languages | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 5 | 0 | 0 | 0 |
Swahili | 0 | 0 | 0 | 0 | 0 | 0 | 295 | 140 | 155 | 0 | 0 | 0 |
Wojenaka | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Wolof | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 25 | 20 | 0 | 0 | 0 |
Yoruba | 0 | 0 | 0 | 0 | 0 | 0 | 660 | 315 | 345 | 0 | 0 | 0 |
Niger-Congo languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 160 | 70 | 90 | 0 | 0 | 0 |
Nilo-Saharan languages | 0 | 0 | 0 | 0 | 0 | 0 | 720 | 360 | 360 | 0 | 0 | 0 |
Dinka | 0 | 0 | 0 | 0 | 0 | 0 | 340 | 190 | 150 | 0 | 0 | 0 |
Nuer | 0 | 0 | 0 | 0 | 0 | 0 | 260 | 115 | 145 | 0 | 0 | 0 |
Nilo-Saharan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 120 | 60 | 65 | 0 | 0 | 0 |
African, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 0 | 0 | 0 |
Sign languages | 0 | 0 | 0 | 0 | 0 | 0 | 450 | 260 | 190 | 0 | 0 | 0 |
American Sign Language | 0 | 0 | 0 | 0 | 0 | 0 | 355 | 205 | 150 | 0 | 0 | 0 |
Quebec Sign Language | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Sign languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 95 | 55 | 40 | 0 | 0 | 0 |
Sino-Tibetan languages | 5 | 0 | 0 | 0 | 0 | 0 | 47,945 | 22,570 | 25,375 | 95 | 45 | 50 |
Chinese languages | 5 | 0 | 0 | 0 | 0 | 0 | 47,025 | 22,110 | 24,915 | 95 | 45 | 50 |
Hakka | 0 | 0 | 0 | 0 | 0 | 0 | 90 | 35 | 50 | 0 | 0 | 0 |
Mandarin | 0 | 0 | 0 | 0 | 0 | 0 | 23,970 | 11,440 | 12,530 | 80 | 35 | 40 |
Min Dong | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 0 | 0 | 0 |
Min Nan (Chaochow, Teochow, Fukien, Taiwanese) | 0 | 0 | 0 | 0 | 0 | 0 | 465 | 185 | 280 | 0 | 0 | 0 |
Wu (Shanghainese) | 0 | 0 | 0 | 0 | 0 | 0 | 155 | 75 | 80 | 0 | 0 | 0 |
Yue (Cantonese) | 0 | 0 | 0 | 0 | 0 | 0 | 21,815 | 10,130 | 11,685 | 20 | 10 | 10 |
Chinese, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 500 | 225 | 275 | 0 | 0 | 0 |
Chinese languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 10 | 0 | 0 | 0 |
Tibeto-Burman languages | 0 | 0 | 0 | 0 | 0 | 0 | 915 | 460 | 455 | 0 | 0 | 0 |
Burmese | 0 | 0 | 0 | 0 | 0 | 0 | 160 | 75 | 85 | 0 | 0 | 0 |
Kuki-Chin languages | 0 | 0 | 0 | 0 | 0 | 0 | 85 | 40 | 45 | 0 | 0 | 0 |
Karenic languages | 0 | 0 | 0 | 0 | 0 | 0 | 165 | 80 | 85 | 0 | 0 | 0 |
S'gaw Karen | 0 | 0 | 0 | 0 | 0 | 0 | 125 | 65 | 60 | 0 | 0 | 0 |
Karenic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 15 | 25 | 0 | 0 | 0 |
Tibetan | 0 | 0 | 0 | 0 | 0 | 0 | 485 | 250 | 235 | 0 | 0 | 0 |
Tibeto-Burman languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 10 | 0 | 0 | 0 |
Sino-Tibetan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 5 | 0 | 0 | 0 |
Tai-Kadai languages | 0 | 0 | 0 | 0 | 0 | 0 | 500 | 230 | 270 | 0 | 0 | 0 |
Lao | 0 | 0 | 0 | 0 | 0 | 0 | 205 | 100 | 105 | 0 | 0 | 0 |
Thai | 0 | 0 | 0 | 0 | 0 | 0 | 275 | 125 | 150 | 0 | 0 | 0 |
Tai-Kadai languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 5 | 15 | 0 | 0 | 0 |
Turkic languages | 0 | 0 | 0 | 0 | 0 | 0 | 1,185 | 600 | 580 | 0 | 0 | 0 |
Azerbaijani | 0 | 0 | 0 | 0 | 0 | 0 | 120 | 55 | 60 | 0 | 0 | 0 |
Kazakh | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 5 | 0 | 0 | 0 |
Turkish | 0 | 0 | 0 | 0 | 0 | 0 | 935 | 480 | 455 | 0 | 0 | 0 |
Uyghur | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 15 | 20 | 0 | 0 | 0 |
Uzbek | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 25 | 25 | 0 | 0 | 0 |
Turkic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 15 | 10 | 0 | 0 | 0 |
Uralic languages | 0 | 0 | 0 | 0 | 0 | 0 | 1,205 | 575 | 625 | 0 | 0 | 0 |
Estonian | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 10 | 0 | 0 | 0 |
Finnish | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 25 | 25 | 0 | 0 | 0 |
Hungarian | 0 | 0 | 0 | 0 | 0 | 0 | 1,135 | 540 | 590 | 0 | 0 | 0 |
Other languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 15 | 10 | 0 | 0 | 0 |
Multiple responses | 10 | 5 | 5 | 5 | 0 | 5 | 75,555 | 36,865 | 38,685 | 75 | 40 | 40 |
English and French | 0 | 0 | 0 | 0 | 0 | 0 | 2,955 | 1,435 | 1,520 | 0 | 0 | 0 |
English and non-official language(s) | 10 | 5 | 5 | 0 | 0 | 0 | 69,995 | 34,230 | 35,770 | 75 | 40 | 40 |
French and non-official language(s) | 0 | 0 | 0 | 0 | 0 | 0 | 260 | 115 | 140 | 0 | 0 | 0 |
English, French and non-official language(s) | 0 | 0 | 0 | 0 | 0 | 0 | 710 | 320 | 385 | 0 | 0 | 0 |
Multiple non-official languages | 0 | 0 | 0 | 0 | 0 | 0 | 1,630 | 760 | 875 | 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 | 520 | 255 | 265 | 215 | 105 | 110 | 1,578,665 | 784,995 | 793,670 | 1,335 | 645 | 685 |
None | 465 | 225 | 240 | 200 | 100 | 100 | 1,298,665 | 649,700 | 648,965 | 1,065 | 520 | 550 |
English | 20 | 10 | 10 | 5 | 0 | 5 | 104,745 | 51,660 | 53,085 | 120 | 60 | 60 |
French | 0 | 0 | 0 | 0 | 0 | 0 | 11,450 | 5,290 | 6,160 | 15 | 5 | 5 |
Non-official language | 30 | 20 | 15 | 5 | 5 | 0 | 127,610 | 60,685 | 66,920 | 95 | 45 | 45 |
Indigenous39 | 0 | 0 | 0 | 0 | 0 | 0 | 635 | 285 | 350 | 0 | 0 | 0 |
Non-Indigenous | 30 | 20 | 15 | 5 | 5 | 0 | 126,970 | 60,410 | 66,565 | 95 | 45 | 45 |
English and French | 0 | 0 | 0 | 0 | 0 | 0 | 1,340 | 640 | 705 | 0 | 0 | 0 |
English and non-official language(s) | 0 | 0 | 0 | 0 | 0 | 0 | 16,885 | 8,395 | 8,490 | 15 | 5 | 10 |
French and non-official language(s) | 0 | 0 | 0 | 0 | 0 | 0 | 3,660 | 1,690 | 1,970 | 5 | 0 | 0 |
English, French and non-official language(s) | 0 | 0 | 0 | 0 | 0 | 0 | 215 | 120 | 95 | 0 | 0 | 0 |
Multiple non-official languages | 0 | 0 | 0 | 0 | 0 | 0 | 14,095 | 6,810 | 7,285 | 20 | 10 | 10 |
Knowledge of languages | ||||||||||||
Total - Knowledge of languages for the population in private households - 25% sample data43 | 475 | 255 | 220 | 230 | 125 | 105 | 1,571,935 | 782,265 | 789,665 | 1,375 | 665 | 705 |
Official languages | 470 | 250 | 220 | 230 | 125 | 105 | 1,537,720 | 768,345 | 769,380 | 1,335 | 660 | 680 |
English | 470 | 250 | 220 | 230 | 125 | 105 | 1,536,650 | 767,865 | 768,785 | 1,330 | 655 | 680 |
French | 60 | 30 | 35 | 20 | 10 | 10 | 103,915 | 47,090 | 56,830 | 100 | 65 | 35 |
Non-official languages | 125 | 70 | 55 | 40 | 20 | 20 | 562,910 | 270,945 | 291,960 | 600 | 305 | 305 |
Indigenous languages39 | 0 | 0 | 0 | 0 | 0 | 0 | 1,740 | 685 | 1,050 | 0 | 0 | 0 |
Algonquian languages | 0 | 0 | 0 | 0 | 0 | 0 | 1,155 | 440 | 720 | 0 | 0 | 0 |
Blackfoot | 0 | 0 | 0 | 0 | 0 | 0 | 470 | 190 | 280 | 0 | 0 | 0 |
Cree-Innu languages | 0 | 0 | 0 | 0 | 0 | 0 | 605 | 245 | 360 | 0 | 0 | 0 |
Atikamekw | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Cree languages | 0 | 0 | 0 | 0 | 0 | 0 | 605 | 245 | 360 | 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 | 25 | 15 | 10 | 0 | 0 | 0 |
Nehiyawewin (Plains Cree) | 0 | 0 | 0 | 0 | 0 | 0 | 260 | 80 | 185 | 0 | 0 | 0 |
Nihithawiwin (Woods Cree) | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 25 | 10 | 0 | 0 | 0 |
Cree, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 270 | 115 | 155 | 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 | 25 | 10 | 15 | 0 | 0 | 0 |
Mi'kmaq | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 10 | 15 | 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 | 125 | 40 | 85 | 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 | 125 | 40 | 85 | 0 | 0 | 0 |
Anishinaabemowin (Chippewa) | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 10 | 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 | 55 | 10 | 45 | 0 | 0 | 0 |
Ojibway, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 20 | 40 | 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 | 235 | 95 | 135 | 0 | 0 | 0 |
Northern Athabaskan languages | 0 | 0 | 0 | 0 | 0 | 0 | 225 | 90 | 135 | 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 | 30 | 15 | 20 | 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 | 10 | 0 | 10 | 0 | 0 | 0 |
Deh Gah Ghotie Zhatie (South Slavey) | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 10 | 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 | 170 | 70 | 100 | 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 | 10 | 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 | 35 | 10 | 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 | 35 | 10 | 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 | 15 | 10 | 0 | 0 | 0 | 0 |
Cayuga | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Mohawk | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 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 | 35 | 10 | 20 | 0 | 0 | 0 |
Salish languages | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 20 | 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 | 230 | 115 | 115 | 0 | 0 | 0 |
Assiniboine | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 15 | 0 | 0 | 0 |
Dakota | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 20 | 15 | 0 | 0 | 0 |
Stoney | 0 | 0 | 0 | 0 | 0 | 0 | 175 | 90 | 90 | 0 | 0 | 0 |
Siouan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 20 | 15 | 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 | 15 | 0 | 15 | 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 | 25 | 10 | 15 | 0 | 0 | 0 |
Non-Indigenous languages | 125 | 70 | 55 | 40 | 20 | 20 | 561,340 | 270,320 | 291,010 | 600 | 305 | 305 |
Afro-Asiatic languages | 0 | 0 | 0 | 0 | 0 | 0 | 54,595 | 28,250 | 26,345 | 45 | 25 | 15 |
Berber languages | 0 | 0 | 0 | 0 | 0 | 0 | 300 | 185 | 110 | 0 | 0 | 0 |
Kabyle | 0 | 0 | 0 | 0 | 0 | 0 | 185 | 100 | 85 | 0 | 0 | 0 |
Tamazight | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 60 | 20 | 0 | 0 | 0 |
Berber languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 30 | 10 | 0 | 0 | 0 |
Chadic languages | 0 | 0 | 0 | 0 | 0 | 0 | 365 | 225 | 145 | 0 | 0 | 0 |
Hausa | 0 | 0 | 0 | 0 | 0 | 0 | 360 | 220 | 145 | 0 | 0 | 0 |
Mina | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Coptic | 0 | 0 | 0 | 0 | 0 | 0 | 85 | 35 | 45 | 0 | 0 | 0 |
Cushitic languages | 0 | 0 | 0 | 0 | 0 | 0 | 4,720 | 2,480 | 2,245 | 0 | 0 | 0 |
Bilen | 0 | 0 | 0 | 0 | 0 | 0 | 235 | 130 | 105 | 0 | 0 | 0 |
Oromo | 0 | 0 | 0 | 0 | 0 | 0 | 2,115 | 1,125 | 990 | 0 | 0 | 0 |
Somali | 0 | 0 | 0 | 0 | 0 | 0 | 2,430 | 1,265 | 1,170 | 0 | 0 | 0 |
Cushitic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 0 | 0 | 0 | 0 |
Semitic languages | 0 | 0 | 0 | 0 | 0 | 0 | 50,645 | 26,150 | 24,495 | 45 | 25 | 15 |
Amharic | 0 | 0 | 0 | 0 | 0 | 0 | 8,465 | 4,170 | 4,295 | 0 | 0 | 0 |
Arabic | 0 | 0 | 0 | 0 | 0 | 0 | 35,250 | 18,505 | 16,750 | 45 | 20 | 15 |
Aramaic languages | 0 | 0 | 0 | 0 | 0 | 0 | 850 | 490 | 360 | 0 | 0 | 0 |
Assyrian Neo-Aramaic | 0 | 0 | 0 | 0 | 0 | 0 | 365 | 215 | 145 | 0 | 0 | 0 |
Chaldean Neo-Aramaic | 0 | 0 | 0 | 0 | 0 | 0 | 380 | 215 | 165 | 0 | 0 | 0 |
Aramaic, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 120 | 65 | 55 | 0 | 0 | 0 |
Harari | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 45 | 35 | 0 | 0 | 0 |
Hebrew | 0 | 0 | 0 | 0 | 0 | 0 | 2,110 | 1,085 | 1,025 | 0 | 0 | 0 |
Maltese | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 30 | 20 | 0 | 0 | 0 |
Tigrigna | 0 | 0 | 0 | 0 | 0 | 0 | 7,675 | 3,920 | 3,755 | 0 | 0 | 0 |
Semitic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 125 | 90 | 40 | 0 | 0 | 0 |
Austro-Asiatic languages | 0 | 0 | 0 | 0 | 0 | 0 | 20,885 | 9,635 | 11,250 | 30 | 10 | 20 |
Khmer (Cambodian) | 0 | 0 | 0 | 0 | 0 | 0 | 1,270 | 610 | 655 | 0 | 0 | 0 |
Vietnamese | 0 | 0 | 0 | 0 | 0 | 0 | 19,415 | 8,900 | 10,515 | 30 | 10 | 20 |
Austro-Asiatic languages, n.i.e | 0 | 0 | 0 | 0 | 0 | 0 | 280 | 160 | 120 | 0 | 0 | 0 |
Austronesian languages | 35 | 20 | 20 | 0 | 0 | 0 | 76,815 | 33,930 | 42,890 | 0 | 0 | 0 |
Bikol | 0 | 0 | 0 | 0 | 0 | 0 | 635 | 325 | 305 | 0 | 0 | 0 |
Bisaya, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 1,175 | 510 | 660 | 0 | 0 | 0 |
Cebuano | 0 | 0 | 0 | 0 | 0 | 0 | 3,705 | 1,700 | 2,000 | 0 | 0 | 0 |
Fijian | 0 | 0 | 0 | 0 | 0 | 0 | 90 | 50 | 40 | 0 | 0 | 0 |
Hiligaynon | 0 | 0 | 0 | 0 | 0 | 0 | 1,455 | 620 | 835 | 0 | 0 | 0 |
Ilocano | 0 | 0 | 0 | 0 | 0 | 0 | 6,615 | 2,860 | 3,755 | 0 | 0 | 0 |
Indonesian | 0 | 0 | 0 | 0 | 0 | 0 | 1,290 | 595 | 695 | 0 | 0 | 0 |
Kankanaey | 0 | 0 | 0 | 0 | 0 | 0 | 250 | 105 | 145 | 0 | 0 | 0 |
Kinaray-a | 0 | 0 | 0 | 0 | 0 | 0 | 85 | 50 | 35 | 0 | 0 | 0 |
Malagasy languages | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 20 | 25 | 0 | 0 | 0 |
Merina | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Malagasy, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 15 | 15 | 0 | 0 | 0 |
Malay | 0 | 0 | 0 | 0 | 0 | 0 | 810 | 370 | 445 | 0 | 0 | 0 |
Pampangan (Kapampangan, Pampango) | 0 | 0 | 0 | 0 | 0 | 0 | 1,200 | 520 | 675 | 0 | 0 | 0 |
Pangasinan | 0 | 0 | 0 | 0 | 0 | 0 | 550 | 285 | 260 | 0 | 0 | 0 |
Tagalog (Pilipino, Filipino) | 25 | 15 | 10 | 0 | 0 | 0 | 72,900 | 32,140 | 40,755 | 0 | 0 | 0 |
Waray-Waray | 0 | 0 | 0 | 0 | 0 | 0 | 460 | 225 | 235 | 0 | 0 | 0 |
Austronesian languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 1,975 | 875 | 1,100 | 0 | 0 | 0 |
Creole languages | 0 | 0 | 0 | 0 | 0 | 0 | 2,105 | 1,065 | 1,035 | 0 | 0 | 0 |
Haitian Creole | 0 | 0 | 0 | 0 | 0 | 0 | 625 | 330 | 300 | 0 | 0 | 0 |
Jamaican English Creole | 0 | 0 | 0 | 0 | 0 | 0 | 160 | 70 | 90 | 0 | 0 | 0 |
Krio | 0 | 0 | 0 | 0 | 0 | 0 | 125 | 60 | 65 | 0 | 0 | 0 |
Morisyen | 0 | 0 | 0 | 0 | 0 | 0 | 360 | 175 | 185 | 0 | 0 | 0 |
Sango | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Creole, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 480 | 275 | 205 | 0 | 0 | 0 |
Creole languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 535 | 260 | 280 | 0 | 0 | 0 |
Dravidian languages | 0 | 0 | 0 | 0 | 0 | 0 | 10,600 | 5,455 | 5,140 | 15 | 10 | 10 |
Kannada | 0 | 0 | 0 | 0 | 0 | 0 | 1,100 | 560 | 540 | 0 | 0 | 0 |
Malayalam | 0 | 0 | 0 | 0 | 0 | 0 | 3,955 | 2,035 | 1,920 | 0 | 0 | 0 |
Tamil | 0 | 0 | 0 | 0 | 0 | 0 | 4,435 | 2,275 | 2,160 | 0 | 0 | 0 |
Telugu | 0 | 0 | 0 | 0 | 0 | 0 | 2,440 | 1,295 | 1,145 | 0 | 0 | 0 |
Tulu | 0 | 0 | 0 | 0 | 0 | 0 | 75 | 35 | 40 | 0 | 0 | 0 |
Dravidian languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 15 | 10 | 0 | 0 | 0 |
Georgian | 0 | 0 | 0 | 0 | 0 | 0 | 220 | 120 | 100 | 0 | 0 | 0 |
Hmong-Mien languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Indo-European languages | 85 | 50 | 30 | 30 | 15 | 15 | 286,570 | 140,880 | 145,685 | 300 | 150 | 155 |
Albanian | 0 | 0 | 0 | 0 | 0 | 0 | 1,865 | 1,015 | 855 | 0 | 0 | 0 |
Armenian | 0 | 0 | 0 | 0 | 0 | 0 | 465 | 265 | 200 | 0 | 0 | 0 |
Balto-Slavic languages | 20 | 10 | 10 | 10 | 0 | 10 | 37,905 | 17,730 | 20,175 | 20 | 15 | 10 |
Baltic languages | 0 | 0 | 0 | 0 | 0 | 0 | 540 | 245 | 295 | 0 | 0 | 0 |
Latvian | 0 | 0 | 0 | 0 | 0 | 0 | 170 | 75 | 95 | 0 | 0 | 0 |
Lithuanian | 0 | 0 | 0 | 0 | 0 | 0 | 370 | 170 | 205 | 0 | 0 | 0 |
Slavic languages | 20 | 10 | 10 | 10 | 0 | 10 | 37,610 | 17,610 | 20,005 | 20 | 15 | 10 |
Belarusian | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 35 | 65 | 0 | 0 | 0 |
Bulgarian | 0 | 0 | 0 | 0 | 0 | 0 | 1,020 | 460 | 560 | 0 | 0 | 0 |
Czech | 0 | 0 | 0 | 0 | 0 | 0 | 2,215 | 1,125 | 1,090 | 0 | 0 | 0 |
Macedonian | 0 | 0 | 0 | 0 | 0 | 0 | 335 | 160 | 175 | 0 | 0 | 0 |
Polish | 0 | 0 | 0 | 0 | 0 | 0 | 9,380 | 4,430 | 4,950 | 0 | 0 | 0 |
Russian | 0 | 0 | 0 | 0 | 0 | 0 | 15,410 | 7,245 | 8,165 | 0 | 0 | 0 |
Rusyn | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Serbo-Croatian | 0 | 0 | 0 | 0 | 0 | 0 | 6,725 | 3,165 | 3,560 | 0 | 0 | 0 |
Bosnian | 0 | 0 | 0 | 0 | 0 | 0 | 1,790 | 855 | 935 | 0 | 0 | 0 |
Croatian | 0 | 0 | 0 | 0 | 0 | 0 | 3,390 | 1,585 | 1,805 | 0 | 0 | 0 |
Serbian | 0 | 0 | 0 | 0 | 0 | 0 | 3,095 | 1,465 | 1,630 | 0 | 0 | 0 |
Serbo-Croatian, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 120 | 55 | 65 | 0 | 0 | 0 |
Slovak | 0 | 0 | 0 | 0 | 0 | 0 | 1,530 | 715 | 820 | 0 | 0 | 0 |
Slovene (Slovenian) | 0 | 0 | 0 | 0 | 0 | 0 | 335 | 130 | 205 | 0 | 0 | 0 |
Ukrainian | 0 | 0 | 0 | 0 | 0 | 0 | 4,845 | 2,125 | 2,720 | 0 | 0 | 0 |
Slavic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 0 | 0 |
Celtic languages | 0 | 0 | 0 | 0 | 0 | 0 | 495 | 275 | 220 | 0 | 0 | 0 |
Irish | 0 | 0 | 0 | 0 | 0 | 0 | 235 | 135 | 100 | 0 | 0 | 0 |
Scottish Gaelic | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 45 | 55 | 0 | 0 | 0 |
Welsh | 0 | 0 | 0 | 0 | 0 | 0 | 155 | 95 | 65 | 0 | 0 | 0 |
Celtic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 15 | 0 | 0 | 0 | 0 |
Germanic languages | 15 | 10 | 0 | 15 | 15 | 0 | 27,795 | 13,485 | 14,310 | 25 | 10 | 15 |
Frisian | 0 | 0 | 0 | 0 | 0 | 0 | 85 | 25 | 55 | 0 | 0 | 0 |
High German languages | 0 | 0 | 0 | 15 | 15 | 0 | 18,325 | 8,925 | 9,400 | 15 | 10 | 10 |
German | 0 | 0 | 0 | 15 | 15 | 0 | 17,910 | 8,715 | 9,200 | 15 | 10 | 10 |
Pennsylvania German | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 0 | 0 | 0 |
Swiss German | 0 | 0 | 0 | 0 | 0 | 0 | 615 | 280 | 330 | 0 | 0 | 0 |
Yiddish | 0 | 0 | 0 | 0 | 0 | 0 | 120 | 75 | 45 | 0 | 0 | 0 |
Low Saxon-Low Franconian languages | 10 | 0 | 0 | 0 | 0 | 0 | 8,180 | 4,120 | 4,060 | 10 | 0 | 10 |
Afrikaans | 0 | 0 | 0 | 0 | 0 | 0 | 2,455 | 1,270 | 1,190 | 0 | 0 | 0 |
Dutch | 10 | 0 | 0 | 0 | 0 | 0 | 5,235 | 2,625 | 2,610 | 10 | 0 | 10 |
Low German, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 90 | 60 | 35 | 0 | 0 | 0 |
Low Saxon | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Plautdietsch | 0 | 0 | 0 | 0 | 0 | 0 | 380 | 165 | 215 | 0 | 0 | 0 |
Vlaams (Flemish) | 0 | 0 | 0 | 0 | 0 | 0 | 155 | 85 | 75 | 0 | 0 | 0 |
Scandinavian languages | 0 | 0 | 0 | 0 | 0 | 0 | 2,390 | 1,100 | 1,290 | 0 | 0 | 0 |
Danish | 0 | 0 | 0 | 0 | 0 | 0 | 1,245 | 635 | 615 | 0 | 0 | 0 |
Icelandic | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 15 | 40 | 0 | 0 | 0 |
Norwegian | 0 | 0 | 0 | 0 | 0 | 0 | 470 | 185 | 285 | 0 | 0 | 0 |
Swedish | 0 | 0 | 0 | 0 | 0 | 0 | 715 | 315 | 395 | 0 | 0 | 0 |
Germanic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 25 | 15 | 0 | 0 | 0 |
Greek | 0 | 0 | 0 | 0 | 0 | 0 | 2,370 | 1,185 | 1,180 | 0 | 0 | 0 |
Indo-Iranian languages | 0 | 0 | 0 | 0 | 0 | 0 | 143,590 | 72,720 | 70,870 | 155 | 75 | 75 |
Indo-Aryan languages | 0 | 0 | 0 | 0 | 0 | 0 | 128,685 | 65,260 | 63,425 | 100 | 50 | 50 |
Assamese | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 45 | 35 | 0 | 0 | 0 |
Bengali | 0 | 0 | 0 | 0 | 0 | 0 | 6,180 | 3,115 | 3,065 | 0 | 0 | 0 |
Gujarati | 0 | 0 | 0 | 0 | 0 | 0 | 11,255 | 5,745 | 5,515 | 20 | 10 | 10 |
Hindi | 0 | 0 | 0 | 0 | 0 | 0 | 45,340 | 22,980 | 22,370 | 50 | 25 | 30 |
Kacchi | 0 | 0 | 0 | 0 | 0 | 0 | 2,325 | 1,035 | 1,300 | 0 | 0 | 0 |
Kashmiri | 0 | 0 | 0 | 0 | 0 | 0 | 210 | 100 | 110 | 0 | 0 | 0 |
Konkani | 0 | 0 | 0 | 0 | 0 | 0 | 460 | 215 | 250 | 0 | 0 | 0 |
Marathi | 0 | 0 | 0 | 0 | 0 | 0 | 2,295 | 1,185 | 1,110 | 0 | 0 | 0 |
Nepali | 0 | 0 | 0 | 0 | 0 | 0 | 3,010 | 1,565 | 1,450 | 0 | 0 | 0 |
Oriya languages | 0 | 0 | 0 | 0 | 0 | 0 | 105 | 45 | 55 | 0 | 0 | 0 |
Odia | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 0 | 0 | 0 | 0 |
Oriya, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 85 | 40 | 50 | 0 | 0 | 0 |
Punjabi (Panjabi) | 0 | 0 | 0 | 0 | 0 | 0 | 68,525 | 34,920 | 33,610 | 20 | 0 | 15 |
Rohingya | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Sindhi | 0 | 0 | 0 | 0 | 0 | 0 | 685 | 385 | 300 | 0 | 0 | 0 |
Sinhala (Sinhalese) | 0 | 0 | 0 | 0 | 0 | 0 | 1,450 | 700 | 750 | 0 | 0 | 0 |
Urdu | 0 | 0 | 0 | 0 | 0 | 0 | 31,710 | 16,195 | 15,515 | 40 | 25 | 15 |
Indo-Aryan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 1,400 | 750 | 650 | 0 | 0 | 0 |
Iranian languages | 0 | 0 | 0 | 0 | 0 | 0 | 17,245 | 8,665 | 8,570 | 50 | 25 | 25 |
Baluchi | 0 | 0 | 0 | 0 | 0 | 0 | 70 | 40 | 30 | 0 | 0 | 0 |
Kurdish | 0 | 0 | 0 | 0 | 0 | 0 | 1,425 | 720 | 705 | 0 | 0 | 0 |
Parsi | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 0 | 0 | 0 |
Pashto | 0 | 0 | 0 | 0 | 0 | 0 | 2,985 | 1,510 | 1,475 | 0 | 0 | 0 |
Persian languages | 0 | 0 | 0 | 0 | 0 | 0 | 13,270 | 6,700 | 6,570 | 50 | 25 | 25 |
Dari | 0 | 0 | 0 | 0 | 0 | 0 | 4,765 | 2,320 | 2,440 | 0 | 0 | 0 |
Iranian Persian | 0 | 0 | 0 | 0 | 0 | 0 | 6,985 | 3,590 | 3,390 | 40 | 20 | 20 |
Persian (Farsi), n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 1,715 | 895 | 820 | 0 | 0 | 0 |
Iranian languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 160 | 75 | 80 | 0 | 0 | 0 |
Indo-Iranian languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 165 | 90 | 75 | 0 | 0 | 0 |
Italic (Romance) languages | 60 | 30 | 25 | 10 | 0 | 10 | 80,155 | 38,210 | 41,945 | 105 | 55 | 50 |
Catalan | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 45 | 65 | 0 | 0 | 0 |
Italian | 0 | 0 | 0 | 0 | 0 | 0 | 9,805 | 4,810 | 4,985 | 0 | 0 | 0 |
Portuguese | 0 | 0 | 0 | 0 | 0 | 0 | 6,925 | 3,405 | 3,515 | 0 | 0 | 0 |
Romanian | 0 | 0 | 0 | 0 | 0 | 0 | 5,990 | 3,045 | 2,950 | 0 | 0 | 0 |
Spanish | 45 | 25 | 25 | 0 | 0 | 0 | 60,770 | 28,640 | 32,125 | 105 | 55 | 45 |
Italic (Romance) languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 145 | 90 | 50 | 0 | 0 | 0 |
Indo-European languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 170 | 80 | 90 | 0 | 0 | 0 |
Japanese | 0 | 0 | 0 | 0 | 0 | 0 | 5,255 | 2,315 | 2,945 | 0 | 0 | 0 |
Korean | 0 | 0 | 0 | 0 | 0 | 0 | 12,375 | 5,785 | 6,590 | 70 | 50 | 25 |
Mongolian | 0 | 0 | 0 | 0 | 0 | 0 | 645 | 300 | 345 | 0 | 0 | 0 |
Niger-Congo languages | 0 | 0 | 0 | 0 | 0 | 0 | 18,385 | 9,360 | 9,025 | 0 | 0 | 0 |
Akan (Twi) | 0 | 0 | 0 | 0 | 0 | 0 | 1,400 | 720 | 680 | 0 | 0 | 0 |
Bamanankan | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 20 | 15 | 0 | 0 | 0 |
Edo | 0 | 0 | 0 | 0 | 0 | 0 | 360 | 190 | 170 | 0 | 0 | 0 |
Éwé | 0 | 0 | 0 | 0 | 0 | 0 | 115 | 55 | 60 | 0 | 0 | 0 |
Fulah (Pular, Pulaar, Fulfulde) | 0 | 0 | 0 | 0 | 0 | 0 | 190 | 120 | 70 | 0 | 0 | 0 |
Ga | 0 | 0 | 0 | 0 | 0 | 0 | 300 | 150 | 155 | 0 | 0 | 0 |
Ganda | 0 | 0 | 0 | 0 | 0 | 0 | 115 | 65 | 50 | 0 | 0 | 0 |
Gikuyu | 0 | 0 | 0 | 0 | 0 | 0 | 180 | 85 | 95 | 0 | 0 | 0 |
Igbo | 0 | 0 | 0 | 0 | 0 | 0 | 3,040 | 1,595 | 1,450 | 0 | 0 | 0 |
Kinyarwanda (Rwanda) | 0 | 0 | 0 | 0 | 0 | 0 | 300 | 140 | 155 | 0 | 0 | 0 |
Lingala | 0 | 0 | 0 | 0 | 0 | 0 | 405 | 190 | 215 | 0 | 0 | 0 |
Luba-Kasai | 0 | 0 | 0 | 0 | 0 | 0 | 75 | 25 | 50 | 0 | 0 | 0 |
Mòoré | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 0 | 0 | 0 | 0 |
Mwani | 0 | 0 | 0 | 0 | 0 | 0 | 270 | 150 | 120 | 0 | 0 | 0 |
Ndebele | 0 | 0 | 0 | 0 | 0 | 0 | 175 | 90 | 80 | 0 | 0 | 0 |
Rundi (Kirundi) | 0 | 0 | 0 | 0 | 0 | 0 | 165 | 90 | 75 | 0 | 0 | 0 |
Shona | 0 | 0 | 0 | 0 | 0 | 0 | 670 | 325 | 345 | 0 | 0 | 0 |
Soninke | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 10 | 15 | 0 | 0 | 0 |
Sotho-Tswana languages | 0 | 0 | 0 | 0 | 0 | 0 | 120 | 60 | 55 | 0 | 0 | 0 |
Swahili | 0 | 0 | 0 | 0 | 0 | 0 | 3,435 | 1,805 | 1,630 | 0 | 0 | 0 |
Wojenaka | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 25 | 10 | 0 | 0 | 0 |
Wolof | 0 | 0 | 0 | 0 | 0 | 0 | 250 | 145 | 105 | 0 | 0 | 0 |
Yoruba | 0 | 0 | 0 | 0 | 0 | 0 | 6,365 | 3,135 | 3,225 | 0 | 0 | 0 |
Niger-Congo languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 2,555 | 1,280 | 1,275 | 0 | 0 | 0 |
Nilo-Saharan languages | 0 | 0 | 0 | 0 | 0 | 0 | 1,895 | 965 | 935 | 0 | 0 | 0 |
Dinka | 0 | 0 | 0 | 0 | 0 | 0 | 860 | 455 | 405 | 0 | 0 | 0 |
Nuer | 0 | 0 | 0 | 0 | 0 | 0 | 440 | 200 | 240 | 0 | 0 | 0 |
Nilo-Saharan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 610 | 315 | 295 | 0 | 0 | 0 |
African, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 190 | 90 | 95 | 0 | 0 | 0 |
Sign languages | 0 | 0 | 0 | 0 | 0 | 0 | 2,210 | 785 | 1,430 | 0 | 0 | 0 |
American Sign Language | 0 | 0 | 0 | 0 | 0 | 0 | 1,875 | 645 | 1,230 | 0 | 0 | 0 |
Quebec Sign Language | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 0 | 0 |
Sign languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 395 | 185 | 215 | 0 | 0 | 0 |
Sino-Tibetan languages | 0 | 0 | 0 | 0 | 0 | 0 | 82,875 | 39,220 | 43,660 | 155 | 70 | 85 |
Chinese languages | 0 | 0 | 0 | 0 | 0 | 0 | 81,080 | 38,330 | 42,750 | 155 | 70 | 85 |
Hakka | 0 | 0 | 0 | 0 | 0 | 0 | 405 | 170 | 235 | 0 | 0 | 0 |
Mandarin | 0 | 0 | 0 | 0 | 0 | 0 | 46,460 | 21,635 | 24,825 | 105 | 45 | 55 |
Min Dong | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 25 | 15 | 0 | 0 | 0 |
Min Nan (Chaochow, Teochow, Fukien, Taiwanese) | 0 | 0 | 0 | 0 | 0 | 0 | 2,385 | 1,045 | 1,340 | 0 | 0 | 0 |
Wu (Shanghainese) | 0 | 0 | 0 | 0 | 0 | 0 | 340 | 140 | 195 | 0 | 0 | 0 |
Yue (Cantonese) | 0 | 0 | 0 | 0 | 0 | 0 | 42,910 | 20,105 | 22,800 | 65 | 30 | 35 |
Chinese, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 880 | 420 | 460 | 0 | 0 | 0 |
Chinese languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 20 | 25 | 0 | 0 | 0 |
Tibeto-Burman languages | 0 | 0 | 0 | 0 | 0 | 0 | 1,820 | 895 | 925 | 0 | 0 | 0 |
Burmese | 0 | 0 | 0 | 0 | 0 | 0 | 520 | 255 | 265 | 0 | 0 | 0 |
Kuki-Chin languages | 0 | 0 | 0 | 0 | 0 | 0 | 125 | 60 | 70 | 0 | 0 | 0 |
Karenic languages | 0 | 0 | 0 | 0 | 0 | 0 | 365 | 180 | 190 | 0 | 0 | 0 |
S'gaw Karen | 0 | 0 | 0 | 0 | 0 | 0 | 295 | 145 | 150 | 0 | 0 | 0 |
Karenic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 85 | 35 | 50 | 0 | 0 | 0 |
Tibetan | 0 | 0 | 0 | 0 | 0 | 0 | 765 | 395 | 370 | 0 | 0 | 0 |
Tibeto-Burman languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 165 | 70 | 90 | 0 | 0 | 0 |
Sino-Tibetan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 105 | 40 | 65 | 0 | 0 | 0 |
Tai-Kadai languages | 0 | 0 | 0 | 0 | 0 | 0 | 1,900 | 780 | 1,120 | 0 | 0 | 0 |
Lao | 0 | 0 | 0 | 0 | 0 | 0 | 685 | 350 | 330 | 0 | 0 | 0 |
Thai | 0 | 0 | 0 | 0 | 0 | 0 | 1,355 | 505 | 850 | 0 | 0 | 0 |
Tai-Kadai languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 25 | 40 | 0 | 0 | 0 |
Turkic languages | 0 | 0 | 0 | 0 | 0 | 0 | 3,545 | 1,855 | 1,695 | 0 | 0 | 0 |
Azerbaijani | 0 | 0 | 0 | 0 | 0 | 0 | 550 | 285 | 270 | 0 | 0 | 0 |
Kazakh | 0 | 0 | 0 | 0 | 0 | 0 | 170 | 75 | 95 | 0 | 0 | 0 |
Turkish | 0 | 0 | 0 | 0 | 0 | 0 | 2,625 | 1,470 | 1,155 | 0 | 0 | 0 |
Uyghur | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 30 | 80 | 0 | 0 | 0 |
Uzbek | 0 | 0 | 0 | 0 | 0 | 0 | 185 | 80 | 105 | 0 | 0 | 0 |
Turkic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 130 | 65 | 65 | 0 | 0 | 0 |
Uralic languages | 0 | 0 | 0 | 0 | 0 | 0 | 4,400 | 2,050 | 2,350 | 0 | 0 | 0 |
Estonian | 0 | 0 | 0 | 0 | 0 | 0 | 165 | 70 | 95 | 0 | 0 | 0 |
Finnish | 0 | 0 | 0 | 0 | 0 | 0 | 435 | 210 | 230 | 0 | 0 | 0 |
Hungarian | 0 | 0 | 0 | 0 | 0 | 0 | 3,810 | 1,780 | 2,030 | 0 | 0 | 0 |
Other languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 525 | 295 | 235 | 0 | 0 | 0 |
Indigenous population | ||||||||||||
Total - Indigenous identity for the population in private households - 25% sample data44 | 475 | 255 | 225 | 230 | 125 | 110 | 1,571,935 | 782,265 | 789,665 | 1,375 | 660 | 710 |
Indigenous identity45 | 25 | 15 | 10 | 10 | 0 | 0 | 53,700 | 25,250 | 28,450 | 30 | 0 | 25 |
Single Indigenous responses46 | 25 | 15 | 10 | 10 | 0 | 0 | 51,520 | 24,220 | 27,300 | 25 | 0 | 20 |
First Nations (North American Indian) | 0 | 0 | 0 | 0 | 0 | 0 | 22,470 | 10,235 | 12,230 | 15 | 0 | 15 |
Métis | 20 | 10 | 10 | 10 | 0 | 0 | 28,475 | 13,685 | 14,790 | 0 | 0 | 0 |
Inuk (Inuit) | 0 | 0 | 0 | 0 | 0 | 0 | 575 | 290 | 280 | 0 | 0 | 0 |
Multiple Indigenous responses47 | 0 | 0 | 0 | 0 | 0 | 0 | 1,130 | 525 | 610 | 0 | 0 | 0 |
Indigenous responses not included elsewhere48 | 0 | 0 | 0 | 0 | 0 | 0 | 1,050 | 505 | 540 | 0 | 0 | 0 |
Non-Indigenous identity | 455 | 235 | 215 | 220 | 120 | 105 | 1,518,235 | 757,015 | 761,220 | 1,345 | 665 | 685 |
Total - Registered or Treaty Indian status for the population in private households - 25% sample data44 | 475 | 255 | 225 | 230 | 125 | 110 | 1,571,935 | 782,265 | 789,665 | 1,375 | 660 | 710 |
Registered or Treaty Indian49 | 0 | 0 | 0 | 0 | 0 | 0 | 17,145 | 7,900 | 9,240 | 20 | 0 | 15 |
Not a Registered or Treaty Indian | 470 | 250 | 220 | 230 | 125 | 110 | 1,554,790 | 774,360 | 780,425 | 1,350 | 665 | 685 |
Household characteristics | ||||||||||||
Total - Private households by tenure - 25% sample data50 | 205 | ... | ... | 80 | ... | ... | 604,630 | ... | ... | 425 | ... | ... |
Owner | 180 | ... | ... | 80 | ... | ... | 431,680 | ... | ... | 410 | ... | ... |
Renter | 25 | ... | ... | 0 | ... | ... | 172,945 | ... | ... | 20 | ... | ... |
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 | 205 | ... | ... | 80 | ... | ... | 604,630 | ... | ... | 425 | ... | ... |
Condominium | 35 | ... | ... | 0 | ... | ... | 138,505 | ... | ... | 0 | ... | ... |
Not condominium | 170 | ... | ... | 80 | ... | ... | 466,125 | ... | ... | 420 | ... | ... |
Total - Occupied private dwellings by number of bedrooms - 25% sample data52 | 205 | ... | ... | 80 | ... | ... | 604,630 | ... | ... | 425 | ... | ... |
No bedrooms | 0 | ... | ... | 0 | ... | ... | 3,180 | ... | ... | 0 | ... | ... |
1 bedroom | 0 | ... | ... | 0 | ... | ... | 63,480 | ... | ... | 0 | ... | ... |
2 bedrooms | 40 | ... | ... | 10 | ... | ... | 132,670 | ... | ... | 15 | ... | ... |
3 bedrooms | 90 | ... | ... | 25 | ... | ... | 208,570 | ... | ... | 130 | ... | ... |
4 or more bedrooms | 65 | ... | ... | 50 | ... | ... | 196,735 | ... | ... | 275 | ... | ... |
Total - Occupied private dwellings by number of rooms - 25% sample data53 | 205 | ... | ... | 80 | ... | ... | 604,630 | ... | ... | 425 | ... | ... |
1 to 4 rooms | 20 | ... | ... | 0 | ... | ... | 168,320 | ... | ... | 20 | ... | ... |
5 rooms | 30 | ... | ... | 0 | ... | ... | 92,700 | ... | ... | 45 | ... | ... |
6 rooms | 60 | ... | ... | 15 | ... | ... | 85,005 | ... | ... | 55 | ... | ... |
7 rooms | 50 | ... | ... | 10 | ... | ... | 74,790 | ... | ... | 90 | ... | ... |
8 or more rooms | 55 | ... | ... | 50 | ... | ... | 183,815 | ... | ... | 225 | ... | ... |
Average number of rooms per dwelling | 6.5 | ... | ... | 8.2 | ... | ... | 6.3 | ... | ... | 7.8 | ... | ... |
Total - Private households by number of persons per room - 25% sample data54 | 205 | ... | ... | 80 | ... | ... | 604,630 | ... | ... | 425 | ... | ... |
One person or fewer per room | 205 | ... | ... | 80 | ... | ... | 587,240 | ... | ... | 425 | ... | ... |
More than one person per room | 0 | ... | ... | 0 | ... | ... | 17,390 | ... | ... | 0 | ... | ... |
Total - Private households by housing suitability - 25% sample data55 | 205 | ... | ... | 80 | ... | ... | 604,630 | ... | ... | 425 | ... | ... |
Suitable | 205 | ... | ... | 80 | ... | ... | 576,220 | ... | ... | 420 | ... | ... |
Not suitable | 0 | ... | ... | 0 | ... | ... | 28,410 | ... | ... | 10 | ... | ... |
Total - Occupied private dwellings by period of construction - 25% sample data56 | 205 | ... | ... | 80 | ... | ... | 604,630 | ... | ... | 425 | ... | ... |
1960 or before | 0 | ... | ... | 0 | ... | ... | 48,925 | ... | ... | 0 | ... | ... |
1961 to 1980 | 40 | ... | ... | 80 | ... | ... | 146,775 | ... | ... | 0 | ... | ... |
1981 to 1990 | 105 | ... | ... | 0 | ... | ... | 67,920 | ... | ... | 0 | ... | ... |
1991 to 2000 | 60 | ... | ... | 0 | ... | ... | 93,515 | ... | ... | 70 | ... | ... |
2001 to 2005 | 0 | ... | ... | 0 | ... | ... | 63,060 | ... | ... | 270 | ... | ... |
2006 to 2010 | 0 | ... | ... | 0 | ... | ... | 64,550 | ... | ... | 40 | ... | ... |
2011 to 2015 | 0 | ... | ... | 0 | ... | ... | 62,005 | ... | ... | 25 | ... | ... |
2016 to 202157 | 0 | ... | ... | 0 | ... | ... | 57,870 | ... | ... | 10 | ... | ... |
Total - Occupied private dwellings by dwelling condition - 25% sample data58 | 205 | ... | ... | 80 | ... | ... | 604,630 | ... | ... | 425 | ... | ... |
Only regular maintenance and minor repairs needed | 190 | ... | ... | 80 | ... | ... | 578,295 | ... | ... | 410 | ... | ... |
Major repairs needed | 15 | ... | ... | 0 | ... | ... | 26,340 | ... | ... | 15 | ... | ... |
Total - Private households by number of household maintainers - 25% sample data59 | 205 | ... | ... | 80 | ... | ... | 604,630 | ... | ... | 425 | ... | ... |
One-maintainer household | 100 | ... | ... | 15 | ... | ... | 286,505 | ... | ... | 160 | ... | ... |
Two-maintainer household | 90 | ... | ... | 60 | ... | ... | 282,890 | ... | ... | 250 | ... | ... |
Three-or-more-maintainer household | 15 | ... | ... | 0 | ... | ... | 35,230 | ... | ... | 20 | ... | ... |
Total - Private households by age of primary household maintainers - 25% sample data60 | 205 | ... | ... | 80 | ... | ... | 604,630 | ... | ... | 425 | ... | ... |
15 to 24 years | 0 | ... | ... | 0 | ... | ... | 15,275 | ... | ... | 0 | ... | ... |
25 to 34 years | 10 | ... | ... | 0 | ... | ... | 95,360 | ... | ... | 10 | ... | ... |
35 to 44 years | 40 | ... | ... | 15 | ... | ... | 132,875 | ... | ... | 55 | ... | ... |
45 to 54 years | 30 | ... | ... | 0 | ... | ... | 121,200 | ... | ... | 165 | ... | ... |
55 to 64 years | 40 | ... | ... | 20 | ... | ... | 114,325 | ... | ... | 100 | ... | ... |
65 to 74 years | 55 | ... | ... | 25 | ... | ... | 78,705 | ... | ... | 70 | ... | ... |
75 to 84 years | 20 | ... | ... | 10 | ... | ... | 34,680 | ... | ... | 30 | ... | ... |
85 years and over | 15 | ... | ... | 10 | ... | ... | 12,200 | ... | ... | 0 | ... | ... |
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 | 205 | ... | ... | x | ... | ... | 599,605 | ... | ... | 430 | ... | ... |
Spending less than 30% of income on shelter costs | 145 | ... | ... | x | ... | ... | 466,085 | ... | ... | 355 | ... | ... |
Spending 30% or more of income on shelter costs | 55 | ... | ... | x | ... | ... | 133,520 | ... | ... | 70 | ... | ... |
30% to less than 100% | 50 | ... | ... | x | ... | ... | 119,800 | ... | ... | 70 | ... | ... |
Total - Occupied private dwellings by housing indicators - 25% sample data62 | 205 | ... | ... | 80 | ... | ... | 604,630 | ... | ... | 425 | ... | ... |
Total - Households 'spending 30% or more of income on shelter costs' or 'not suitable' or 'major repairs needed' | 65 | ... | ... | 10 | ... | ... | 174,520 | ... | ... | 90 | ... | ... |
Spending 30% or more of income on shelter costs only | 50 | ... | ... | 0 | ... | ... | 121,340 | ... | ... | 65 | ... | ... |
Not suitable only | 0 | ... | ... | 0 | ... | ... | 22,225 | ... | ... | 0 | ... | ... |
Major repairs needed only | 10 | ... | ... | 0 | ... | ... | 17,480 | ... | ... | 10 | ... | ... |
'Spending 30% or more of income on shelter costs' and 'not suitable' | 0 | ... | ... | 0 | ... | ... | 4,610 | ... | ... | 0 | ... | ... |
'Spending 30% or more of income on shelter costs' and 'major repairs needed' | 0 | ... | ... | 0 | ... | ... | 7,285 | ... | ... | 0 | ... | ... |
'Not suitable' and 'major repairs needed' | 0 | ... | ... | 0 | ... | ... | 1,295 | ... | ... | 0 | ... | ... |
'Spending 30% or more of income on shelter costs' and 'not suitable' and 'major repairs needed' | 0 | ... | ... | 0 | ... | ... | 280 | ... | ... | 0 | ... | ... |
Acceptable housing | 140 | ... | ... | 75 | ... | ... | 430,110 | ... | ... | 335 | ... | ... |
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 | 200 | ... | ... | x | ... | ... | 585,885 | ... | ... | 430 | ... | ... |
In core need | 15 | ... | ... | x | ... | ... | 55,440 | ... | ... | 15 | ... | ... |
Not in core need | 180 | ... | ... | x | ... | ... | 530,445 | ... | ... | 410 | ... | ... |
Total - Owner households in non-farm, non-reserve private dwellings - 25% sample data | 180 | ... | ... | 75 | ... | ... | 429,490 | ... | ... | 410 | ... | ... |
% of owner households with a mortgage64 | 63.9 | ... | ... | 26.7 | ... | ... | 65.7 | ... | ... | 63.4 | ... | ... |
% of owner households spending 30% or more of its income on shelter costs61 | 25.7 | ... | ... | x | ... | ... | 17.4 | ... | ... | 14.6 | ... | ... |
% in core housing need63 | 0.0 | ... | ... | 0.0 | ... | ... | 5.3 | ... | ... | 0.0 | ... | ... |
Median monthly shelter costs for owned dwellings ($)65 | 1,430 | ... | ... | 850 | ... | ... | 1,740 | ... | ... | 2,000 | ... | ... |
Average monthly shelter costs for owned dwellings ($)65 | 1,440 | ... | ... | 1,360 | ... | ... | 1,792 | ... | ... | 1,910 | ... | ... |
Median value of dwellings ($)66 | 384,000 | ... | ... | 560,000 | ... | ... | 452,000 | ... | ... | 600,000 | ... | ... |
Average value of dwellings ($)66 | 400,000 | ... | ... | 580,000 | ... | ... | 529,500 | ... | ... | 614,000 | ... | ... |
Total - Tenant households in non-farm, non-reserve private dwellings - 25% sample data | 30 | ... | ... | 0 | ... | ... | 172,840 | ... | ... | 20 | ... | ... |
% of tenant households in subsidized housing67 | 0.0 | ... | ... | ... | ... | ... | 8.5 | ... | ... | 0.0 | ... | ... |
% of tenant households spending 30% or more of its income on shelter costs61 | 0.0 | ... | ... | x | ... | ... | 34.5 | ... | ... | 0.0 | ... | ... |
% in core housing need63 | 0.0 | ... | ... | ... | ... | ... | 20.2 | ... | ... | 0.0 | ... | ... |
Median monthly shelter costs for rented dwellings ($)65 | x | ... | ... | ... | ... | ... | 1,350 | ... | ... | x | ... | ... |
Average monthly shelter costs for rented dwellings ($)65 | 1,800 | ... | ... | ... | ... | ... | 1,414 | ... | ... | 2,400 | ... | ... |
Total - Households living in a dwelling provided by the local government, First Nation or Indian band in non-farm private dwellings - 25% sample data | 0 | ... | ... | 0 | ... | ... | 0 | ... | ... | 0 | ... | ... |
% of households living in a dwelling provided by the local government, First Nation or Indian band spending more than 30% on shelter costs61 | ... | ... | ... | x | ... | ... | ... | ... | ... | ... | ... | ... |
Median monthly shelter costs for dwellings provided by local government, First Nation or Indian band ($)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 | 480 | 250 | 225 | 230 | 120 | 110 | 1,571,935 | 782,270 | 789,670 | 1,370 | 665 | 710 |
Indigenous ancestry (only)69 | 0 | 0 | 0 | 0 | 0 | 0 | 17,860 | 8,295 | 9,570 | 0 | 0 | 0 |
Single Indigenous ancestry (only)70 | 0 | 0 | 0 | 0 | 0 | 0 | 17,385 | 8,070 | 9,315 | 0 | 0 | 0 |
First Nations (North American Indian) single ancestry | 0 | 0 | 0 | 0 | 0 | 0 | 11,610 | 5,320 | 6,285 | 0 | 0 | 0 |
Métis single ancestry | 0 | 0 | 0 | 0 | 0 | 0 | 5,625 | 2,660 | 2,960 | 0 | 0 | 0 |
Inuit single ancestry | 0 | 0 | 0 | 0 | 0 | 0 | 155 | 85 | 65 | 0 | 0 | 0 |
Multiple Indigenous ancestries (only)71 | 0 | 0 | 0 | 0 | 0 | 0 | 480 | 225 | 255 | 0 | 0 | 0 |
First Nations (North American Indian) and Métis ancestry only | 0 | 0 | 0 | 0 | 0 | 0 | 460 | 210 | 250 | 0 | 0 | 0 |
First Nations (North American Indian) and Inuit ancestry only | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Métis and Inuit ancestry only | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 20 | 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 | 10 | 0 | 10 | 20 | 0 | 15 | 47,230 | 22,330 | 24,905 | 30 | 10 | 20 |
Single Indigenous and non-Indigenous ancestries73 | 10 | 0 | 10 | 20 | 0 | 15 | 45,875 | 21,725 | 24,145 | 30 | 10 | 20 |
First Nations (North American Indian) and non-Indigenous ancestry only | 0 | 0 | 0 | 0 | 0 | 0 | 25,470 | 12,020 | 13,445 | 20 | 10 | 15 |
Métis and non-Indigenous ancestry only | 10 | 0 | 10 | 0 | 0 | 0 | 19,960 | 9,480 | 10,475 | 0 | 0 | 0 |
Inuit and non-Indigenous ancestry only | 0 | 0 | 0 | 0 | 0 | 0 | 450 | 230 | 225 | 0 | 0 | 0 |
Multiple Indigenous and non-Indigenous ancestries74 | 0 | 0 | 0 | 0 | 0 | 0 | 1,355 | 600 | 760 | 0 | 0 | 0 |
First Nations (North American Indian) and Métis and non-Indigenous ancestry only | 0 | 0 | 0 | 0 | 0 | 0 | 1,230 | 550 | 680 | 0 | 0 | 0 |
First Nations (North American Indian) and Inuit and non-Indigenous ancestry only | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 20 | 35 | 0 | 0 | 0 |
Métis and Inuit and non-Indigenous ancestry only | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 30 | 25 | 0 | 0 | 0 |
First Nations (North American Indian) and Métis and Inuit and non-Indigenous ancestry only | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 15 | 0 | 0 | 0 |
Non-Indigenous ancestry only75 | 460 | 245 | 215 | 210 | 120 | 90 | 1,506,840 | 751,645 | 755,195 | 1,345 | 655 | 685 |
Citizenship | ||||||||||||
Total - Citizenship for the population in private households - 25% sample data76 | 480 | 250 | 225 | 230 | 120 | 110 | 1,571,935 | 782,265 | 789,670 | 1,370 | 665 | 705 |
Canadian citizens77 | 440 | 225 | 220 | 230 | 120 | 110 | 1,397,315 | 698,330 | 698,985 | 1,300 | 640 | 665 |
Canadian citizens aged under 18 | 75 | 45 | 30 | 40 | 25 | 20 | 325,765 | 167,940 | 157,820 | 335 | 135 | 200 |
Canadian citizens aged 18 and over | 360 | 175 | 185 | 185 | 100 | 90 | 1,071,555 | 530,390 | 541,165 | 965 | 500 | 465 |
Not Canadian citizens78 | 40 | 30 | 10 | 0 | 0 | 0 | 174,615 | 83,940 | 90,680 | 70 | 30 | 45 |
Immigrant status and period of immigration | ||||||||||||
Total - Immigrant status and period of immigration for the population in private households - 25% sample data79 | 480 | 250 | 225 | 230 | 120 | 110 | 1,571,935 | 782,265 | 789,670 | 1,370 | 665 | 705 |
Non-immigrants80 | 360 | 195 | 160 | 180 | 105 | 80 | 1,069,940 | 539,680 | 530,260 | 850 | 400 | 445 |
Immigrants81 | 110 | 55 | 65 | 50 | 20 | 25 | 473,580 | 227,640 | 245,935 | 505 | 255 | 250 |
Before 1980 | 35 | 15 | 20 | 30 | 20 | 15 | 56,750 | 27,435 | 29,320 | 85 | 55 | 25 |
1980 to 1990 | 25 | 10 | 15 | 0 | 0 | 0 | 44,975 | 21,950 | 23,020 | 80 | 40 | 35 |
1991 to 2000 | 10 | 0 | 10 | 0 | 0 | 0 | 67,220 | 32,280 | 34,935 | 90 | 40 | 45 |
2001 to 2010 | 20 | 15 | 10 | 10 | 0 | 0 | 127,170 | 61,140 | 66,030 | 205 | 95 | 105 |
2011 to 202182 | 25 | 10 | 10 | 0 | 0 | 0 | 177,465 | 84,835 | 92,630 | 55 | 20 | 35 |
2011 to 2015 | 15 | 10 | 10 | 0 | 0 | 0 | 89,810 | 43,015 | 46,795 | 30 | 10 | 20 |
2016 to 2021 | 0 | 0 | 0 | 0 | 0 | 0 | 87,650 | 41,815 | 45,835 | 30 | 15 | 15 |
Non-permanent residents83 | 0 | 0 | 0 | 0 | 0 | 0 | 28,410 | 14,945 | 13,470 | 15 | 10 | 0 |
Age at immigration | ||||||||||||
Total - Age at immigration for the immigrant population in private households - 25% sample data84 | 115 | 50 | 60 | 50 | 20 | 25 | 473,580 | 227,640 | 245,935 | 505 | 255 | 250 |
Under 5 years | 10 | 0 | 0 | 15 | 0 | 0 | 41,205 | 20,985 | 20,220 | 45 | 30 | 15 |
5 to 14 years | 35 | 15 | 20 | 0 | 0 | 0 | 79,795 | 41,370 | 38,425 | 80 | 50 | 30 |
15 to 24 years | 10 | 10 | 0 | 20 | 10 | 10 | 82,830 | 37,905 | 44,930 | 80 | 40 | 45 |
25 to 44 years | 55 | 20 | 35 | 0 | 0 | 0 | 223,080 | 105,885 | 117,190 | 235 | 110 | 125 |
45 years and over | 10 | 0 | 10 | 10 | 0 | 10 | 46,670 | 21,495 | 25,170 | 60 | 35 | 30 |
Selected places of birth for the immigrant population | ||||||||||||
Total - Place of birth for the immigrant population in private households - 25% sample data85 | 115 | 50 | 60 | 50 | 20 | 25 | 473,580 | 227,640 | 245,935 | 505 | 255 | 250 |
Americas | 30 | 0 | 25 | 10 | 10 | 0 | 50,280 | 23,315 | 26,970 | 80 | 40 | 35 |
Brazil | 0 | 0 | 0 | 0 | 0 | 0 | 2,205 | 965 | 1,245 | 0 | 0 | 0 |
Colombia | 10 | 0 | 10 | 0 | 0 | 0 | 6,240 | 2,860 | 3,380 | 25 | 20 | 0 |
El Salvador | 0 | 0 | 0 | 0 | 0 | 0 | 2,755 | 1,300 | 1,455 | 0 | 0 | 0 |
Guyana | 0 | 0 | 0 | 0 | 0 | 0 | 810 | 375 | 430 | 0 | 0 | 0 |
Haiti | 0 | 0 | 0 | 0 | 0 | 0 | 565 | 320 | 250 | 0 | 0 | 0 |
Jamaica | 0 | 0 | 0 | 0 | 0 | 0 | 3,605 | 1,735 | 1,870 | 0 | 0 | 0 |
Mexico | 0 | 0 | 0 | 0 | 0 | 0 | 5,740 | 2,810 | 2,930 | 0 | 0 | 0 |
Peru | 0 | 0 | 0 | 0 | 0 | 0 | 1,140 | 515 | 625 | 0 | 0 | 0 |
Trinidad and Tobago | 0 | 0 | 0 | 0 | 0 | 0 | 1,470 | 720 | 750 | 0 | 0 | 0 |
United States of America | 0 | 0 | 0 | 0 | 0 | 0 | 13,395 | 5,940 | 7,455 | 15 | 10 | 10 |
Other places of birth in Americas | 15 | 0 | 15 | 0 | 0 | 0 | 12,355 | 5,775 | 6,585 | 25 | 10 | 20 |
Europe | 45 | 30 | 15 | 30 | 10 | 20 | 83,855 | 41,815 | 42,040 | 60 | 30 | 25 |
Bosnia and Herzegovina | 0 | 0 | 0 | 0 | 0 | 0 | 2,225 | 1,075 | 1,145 | 0 | 0 | 0 |
Croatia | 0 | 0 | 0 | 0 | 0 | 0 | 1,510 | 705 | 800 | 0 | 0 | 0 |
France | 0 | 0 | 0 | 0 | 0 | 0 | 1,455 | 735 | 720 | 0 | 0 | 0 |
Germany | 0 | 0 | 0 | 0 | 0 | 0 | 6,175 | 2,815 | 3,355 | 0 | 0 | 0 |
Greece | 0 | 0 | 0 | 0 | 0 | 0 | 955 | 505 | 450 | 0 | 0 | 0 |
Hungary | 0 | 0 | 0 | 0 | 0 | 0 | 1,780 | 865 | 915 | 0 | 0 | 0 |
Italy | 0 | 0 | 0 | 0 | 0 | 0 | 3,430 | 1,805 | 1,625 | 0 | 0 | 0 |
Netherlands | 10 | 0 | 10 | 0 | 0 | 0 | 3,730 | 1,920 | 1,805 | 15 | 0 | 10 |
Poland | 0 | 0 | 0 | 0 | 0 | 0 | 6,520 | 3,025 | 3,495 | 0 | 0 | 0 |
Portugal | 0 | 0 | 0 | 0 | 0 | 0 | 1,180 | 610 | 575 | 0 | 0 | 0 |
Romania | 0 | 0 | 0 | 0 | 0 | 0 | 4,435 | 2,225 | 2,210 | 0 | 0 | 0 |
Russian Federation | 0 | 0 | 0 | 0 | 0 | 0 | 4,540 | 1,930 | 2,610 | 0 | 0 | 0 |
Serbia86 | 0 | 0 | 0 | 0 | 0 | 0 | 1,060 | 505 | 560 | 0 | 0 | 0 |
Ukraine | 0 | 0 | 0 | 0 | 0 | 0 | 3,355 | 1,510 | 1,845 | 0 | 0 | 0 |
United Kingdom87 | 15 | 10 | 0 | 20 | 0 | 10 | 27,675 | 14,575 | 13,095 | 30 | 15 | 15 |
Other places of birth in Europe | 0 | 0 | 0 | 0 | 0 | 0 | 13,840 | 7,005 | 6,835 | 0 | 0 | 0 |
Africa | 0 | 0 | 0 | 0 | 0 | 0 | 55,355 | 27,975 | 27,385 | 55 | 30 | 25 |
Algeria | 0 | 0 | 0 | 0 | 0 | 0 | 650 | 320 | 330 | 0 | 0 | 0 |
Congo, Democratic Republic of the | 0 | 0 | 0 | 0 | 0 | 0 | 905 | 445 | 455 | 0 | 0 | 0 |
Egypt | 0 | 0 | 0 | 0 | 0 | 0 | 3,500 | 1,840 | 1,665 | 20 | 10 | 10 |
Eritrea | 0 | 0 | 0 | 0 | 0 | 0 | 4,785 | 2,505 | 2,280 | 0 | 0 | 0 |
Ethiopia | 0 | 0 | 0 | 0 | 0 | 0 | 7,180 | 3,485 | 3,700 | 0 | 0 | 0 |
Morocco | 0 | 0 | 0 | 0 | 0 | 0 | 950 | 485 | 460 | 0 | 0 | 0 |
Nigeria | 0 | 0 | 0 | 0 | 0 | 0 | 13,365 | 6,835 | 6,530 | 0 | 0 | 0 |
Somalia | 0 | 0 | 0 | 0 | 0 | 0 | 1,595 | 780 | 815 | 0 | 0 | 0 |
South Africa, Republic of | 0 | 0 | 0 | 0 | 0 | 0 | 4,010 | 2,070 | 1,940 | 0 | 0 | 0 |
Other places of birth in Africa | 0 | 0 | 0 | 0 | 0 | 0 | 18,410 | 9,205 | 9,210 | 30 | 20 | 10 |
Asia | 35 | 15 | 20 | 0 | 0 | 0 | 279,930 | 132,545 | 147,390 | 310 | 150 | 160 |
Afghanistan | 0 | 0 | 0 | 0 | 0 | 0 | 4,275 | 2,115 | 2,160 | 0 | 0 | 0 |
Iran88 | 0 | 0 | 0 | 0 | 0 | 0 | 5,720 | 2,990 | 2,730 | 20 | 10 | 10 |
Iraq | 0 | 0 | 0 | 0 | 0 | 0 | 4,070 | 2,070 | 2,000 | 0 | 0 | 0 |
Lebanon | 0 | 0 | 0 | 0 | 0 | 0 | 4,455 | 2,410 | 2,050 | 0 | 0 | 0 |
Syria89 | 0 | 0 | 0 | 0 | 0 | 0 | 4,455 | 2,320 | 2,130 | 0 | 0 | 0 |
Turkey | 0 | 0 | 0 | 0 | 0 | 0 | 1,105 | 545 | 555 | 0 | 0 | 0 |
China90 | 0 | 0 | 0 | 0 | 0 | 0 | 36,925 | 16,915 | 20,015 | 65 | 25 | 40 |
Hong Kong91 | 0 | 0 | 0 | 0 | 0 | 0 | 10,965 | 5,240 | 5,725 | 40 | 25 | 20 |
Korea, South92 | 0 | 0 | 0 | 0 | 0 | 0 | 8,690 | 4,045 | 4,645 | 70 | 45 | 20 |
Taiwan | 0 | 0 | 0 | 0 | 0 | 0 | 2,210 | 935 | 1,270 | 0 | 0 | 0 |
Philippines | 30 | 15 | 15 | 0 | 0 | 0 | 71,315 | 31,605 | 39,715 | 0 | 0 | 0 |
Viet Nam | 0 | 0 | 0 | 0 | 0 | 0 | 16,350 | 7,325 | 9,030 | 15 | 0 | 10 |
Bangladesh | 0 | 0 | 0 | 0 | 0 | 0 | 3,630 | 1,845 | 1,785 | 0 | 0 | 0 |
India | 0 | 0 | 0 | 0 | 0 | 0 | 61,580 | 30,730 | 30,850 | 50 | 25 | 30 |
Pakistan | 0 | 0 | 0 | 0 | 0 | 0 | 19,425 | 9,810 | 9,615 | 15 | 0 | 15 |
Sri Lanka | 0 | 0 | 0 | 0 | 0 | 0 | 2,035 | 1,005 | 1,025 | 0 | 0 | 0 |
Other places of birth in Asia | 0 | 0 | 0 | 0 | 0 | 0 | 22,735 | 10,640 | 12,090 | 0 | 0 | 0 |
Oceania and other places of birth93 | 0 | 0 | 0 | 0 | 0 | 0 | 4,150 | 2,000 | 2,150 | 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 | 0 | 0 | 0 | 87,650 | 41,815 | 45,830 | 30 | 15 | 15 |
Americas | 0 | 0 | 0 | 0 | 0 | 0 | 8,535 | 3,935 | 4,595 | 0 | 0 | 0 |
Brazil | 0 | 0 | 0 | 0 | 0 | 0 | 915 | 390 | 525 | 0 | 0 | 0 |
Colombia | 0 | 0 | 0 | 0 | 0 | 0 | 670 | 265 | 410 | 0 | 0 | 0 |
Haiti | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 60 | 45 | 0 | 0 | 0 |
Jamaica | 0 | 0 | 0 | 0 | 0 | 0 | 555 | 260 | 295 | 0 | 0 | 0 |
Mexico | 0 | 0 | 0 | 0 | 0 | 0 | 1,470 | 760 | 715 | 0 | 0 | 0 |
United States of America | 0 | 0 | 0 | 0 | 0 | 0 | 2,490 | 1,160 | 1,330 | 0 | 0 | 0 |
Venezuela95 | 0 | 0 | 0 | 0 | 0 | 0 | 915 | 400 | 515 | 0 | 0 | 0 |
Other places of birth in Americas | 0 | 0 | 0 | 0 | 0 | 0 | 1,415 | 645 | 770 | 0 | 0 | 0 |
Europe | 0 | 0 | 0 | 0 | 0 | 0 | 7,510 | 3,815 | 3,695 | 0 | 0 | 0 |
France | 0 | 0 | 0 | 0 | 0 | 0 | 245 | 115 | 130 | 0 | 0 | 0 |
Germany | 0 | 0 | 0 | 0 | 0 | 0 | 280 | 130 | 150 | 0 | 0 | 0 |
Ireland96 | 0 | 0 | 0 | 0 | 0 | 0 | 495 | 320 | 170 | 0 | 0 | 0 |
Italy | 0 | 0 | 0 | 0 | 0 | 0 | 290 | 175 | 115 | 0 | 0 | 0 |
Russian Federation | 0 | 0 | 0 | 0 | 0 | 0 | 690 | 245 | 445 | 0 | 0 | 0 |
Ukraine | 0 | 0 | 0 | 0 | 0 | 0 | 760 | 340 | 425 | 0 | 0 | 0 |
United Kingdom87 | 0 | 0 | 0 | 0 | 0 | 0 | 1,820 | 1,000 | 825 | 0 | 0 | 0 |
Other places of birth in Europe | 0 | 0 | 0 | 0 | 0 | 0 | 2,930 | 1,485 | 1,445 | 0 | 0 | 0 |
Africa | 0 | 0 | 0 | 0 | 0 | 0 | 15,820 | 7,845 | 7,980 | 0 | 0 | 0 |
Algeria | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 15 | 50 | 0 | 0 | 0 |
Burundi | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 15 | 25 | 0 | 0 | 0 |
Cameroon | 0 | 0 | 0 | 0 | 0 | 0 | 430 | 190 | 235 | 0 | 0 | 0 |
Congo, Democratic Republic of the | 0 | 0 | 0 | 0 | 0 | 0 | 160 | 85 | 80 | 0 | 0 | 0 |
Côte d'Ivoire | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 30 | 20 | 0 | 0 | 0 |
Egypt | 0 | 0 | 0 | 0 | 0 | 0 | 615 | 300 | 310 | 0 | 0 | 0 |
Eritrea | 0 | 0 | 0 | 0 | 0 | 0 | 2,545 | 1,340 | 1,205 | 0 | 0 | 0 |
Ethiopia | 0 | 0 | 0 | 0 | 0 | 0 | 1,855 | 885 | 965 | 0 | 0 | 0 |
Morocco | 0 | 0 | 0 | 0 | 0 | 0 | 230 | 105 | 125 | 0 | 0 | 0 |
Nigeria | 0 | 0 | 0 | 0 | 0 | 0 | 6,175 | 3,045 | 3,130 | 0 | 0 | 0 |
Somalia | 0 | 0 | 0 | 0 | 0 | 0 | 310 | 140 | 170 | 0 | 0 | 0 |
South Africa, Republic of | 0 | 0 | 0 | 0 | 0 | 0 | 830 | 440 | 385 | 0 | 0 | 0 |
Sudan97 | 0 | 0 | 0 | 0 | 0 | 0 | 460 | 220 | 235 | 0 | 0 | 0 |
Tunisia | 0 | 0 | 0 | 0 | 0 | 0 | 95 | 65 | 30 | 0 | 0 | 0 |
Other places of birth in Africa | 0 | 0 | 0 | 0 | 0 | 0 | 1,965 | 970 | 1,000 | 0 | 0 | 0 |
Asia | 0 | 0 | 0 | 0 | 0 | 0 | 55,100 | 25,850 | 29,250 | 20 | 10 | 0 |
Afghanistan | 0 | 0 | 0 | 0 | 0 | 0 | 865 | 415 | 455 | 0 | 0 | 0 |
Bangladesh | 0 | 0 | 0 | 0 | 0 | 0 | 640 | 315 | 325 | 0 | 0 | 0 |
China90 | 0 | 0 | 0 | 0 | 0 | 0 | 5,625 | 2,440 | 3,180 | 0 | 0 | 0 |
Hong Kong91 | 0 | 0 | 0 | 0 | 0 | 0 | 315 | 120 | 195 | 0 | 0 | 0 |
India | 0 | 0 | 0 | 0 | 0 | 0 | 14,870 | 7,455 | 7,420 | 0 | 0 | 0 |
Iran88 | 0 | 0 | 0 | 0 | 0 | 0 | 870 | 415 | 450 | 0 | 0 | 0 |
Iraq | 0 | 0 | 0 | 0 | 0 | 0 | 955 | 450 | 510 | 0 | 0 | 0 |
Israel | 0 | 0 | 0 | 0 | 0 | 0 | 345 | 195 | 155 | 0 | 0 | 0 |
Japan | 0 | 0 | 0 | 0 | 0 | 0 | 170 | 25 | 150 | 0 | 0 | 0 |
Jordan | 0 | 0 | 0 | 0 | 0 | 0 | 165 | 90 | 70 | 0 | 0 | 0 |
Korea, South92 | 0 | 0 | 0 | 0 | 0 | 0 | 1,825 | 780 | 1,050 | 0 | 0 | 0 |
Lebanon | 0 | 0 | 0 | 0 | 0 | 0 | 455 | 220 | 235 | 0 | 0 | 0 |
Nepal | 0 | 0 | 0 | 0 | 0 | 0 | 550 | 280 | 265 | 0 | 0 | 0 |
Pakistan | 0 | 0 | 0 | 0 | 0 | 0 | 2,395 | 1,145 | 1,245 | 0 | 0 | 0 |
Philippines | 0 | 0 | 0 | 0 | 0 | 0 | 17,470 | 7,940 | 9,535 | 0 | 0 | 0 |
Saudi Arabia | 0 | 0 | 0 | 0 | 0 | 0 | 270 | 160 | 105 | 0 | 0 | 0 |
Sri Lanka | 0 | 0 | 0 | 0 | 0 | 0 | 185 | 100 | 85 | 0 | 0 | 0 |
Syria89 | 0 | 0 | 0 | 0 | 0 | 0 | 3,135 | 1,645 | 1,490 | 0 | 0 | 0 |
Turkey | 0 | 0 | 0 | 0 | 0 | 0 | 405 | 175 | 225 | 0 | 0 | 0 |
United Arab Emirates | 0 | 0 | 0 | 0 | 0 | 0 | 370 | 205 | 170 | 0 | 0 | 0 |
Viet Nam | 0 | 0 | 0 | 0 | 0 | 0 | 980 | 320 | 660 | 0 | 0 | 0 |
Other places of birth in Asia | 0 | 0 | 0 | 0 | 0 | 0 | 2,240 | 955 | 1,290 | 0 | 0 | 0 |
Oceania and other93 | 0 | 0 | 0 | 0 | 0 | 0 | 690 | 375 | 310 | 0 | 0 | 0 |
Australia | 0 | 0 | 0 | 0 | 0 | 0 | 480 | 255 | 230 | 0 | 0 | 0 |
Other places of birth98 | 0 | 0 | 0 | 0 | 0 | 0 | 205 | 125 | 85 | 0 | 0 | 0 |
Generation status | ||||||||||||
Total - Generation status for the population in private households - 25% sample data99 | 475 | 255 | 225 | 230 | 125 | 105 | 1,571,935 | 782,265 | 789,665 | 1,375 | 665 | 705 |
First generation100 | 125 | 60 | 65 | 50 | 25 | 30 | 518,345 | 251,010 | 267,335 | 540 | 270 | 270 |
Second generation101 | 120 | 70 | 40 | 60 | 30 | 25 | 329,675 | 166,505 | 163,165 | 330 | 150 | 175 |
Third generation or more102 | 235 | 120 | 115 | 125 | 70 | 55 | 723,920 | 364,750 | 359,170 | 500 | 240 | 260 |
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 | 75 | 35 | 45 | 15 | 0 | 15 | 416,830 | 200,210 | 216,615 | 420 | 200 | 220 |
Economic immigrants104 | 45 | 25 | 15 | 15 | 0 | 10 | 235,880 | 118,150 | 117,730 | 295 | 145 | 145 |
Principal applicants105 | 15 | 0 | 15 | 10 | 0 | 0 | 95,815 | 58,035 | 37,780 | 110 | 85 | 20 |
Secondary applicants106 | 25 | 25 | 0 | 0 | 0 | 0 | 140,065 | 60,120 | 79,950 | 185 | 55 | 125 |
Immigrants sponsored by family107 | 20 | 0 | 20 | 0 | 0 | 0 | 117,720 | 48,395 | 69,330 | 90 | 30 | 60 |
Refugees108 | 15 | 10 | 0 | 0 | 0 | 0 | 58,995 | 31,595 | 27,395 | 40 | 25 | 15 |
Other immigrants109 | 0 | 0 | 0 | 0 | 0 | 0 | 4,230 | 2,070 | 2,165 | 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 | 75 | 35 | 45 | 15 | 0 | 15 | 416,830 | 200,210 | 216,615 | 420 | 200 | 220 |
Asylum claim before admission111 | 0 | 0 | 0 | 0 | 0 | 0 | 14,765 | 8,620 | 6,145 | 0 | 0 | 0 |
Work permits only before admission112 | 20 | 0 | 15 | 10 | 0 | 10 | 53,180 | 23,440 | 29,750 | 20 | 10 | 10 |
Study permits only before admission113 | 10 | 0 | 10 | 0 | 0 | 0 | 10,665 | 5,460 | 5,205 | 20 | 20 | 0 |
Work and study permits before admission114 | 0 | 0 | 0 | 0 | 0 | 0 | 23,590 | 12,265 | 11,320 | 30 | 10 | 15 |
Other permits before admission115 | 0 | 0 | 0 | 0 | 0 | 0 | 1,565 | 670 | 895 | 10 | 10 | 0 |
No pre-admission experience116 | 45 | 25 | 20 | 0 | 0 | 0 | 313,060 | 149,760 | 163,300 | 335 | 150 | 190 |
Visible minority | ||||||||||||
Total - Visible minority for the population in private households - 25% sample data117 | 475 | 255 | 225 | 230 | 125 | 105 | 1,571,935 | 782,265 | 789,665 | 1,375 | 660 | 705 |
Total visible minority population118 | 90 | 40 | 55 | 30 | 10 | 20 | 575,650 | 282,735 | 292,910 | 675 | 340 | 330 |
South Asian | 0 | 0 | 0 | 0 | 0 | 0 | 154,385 | 78,430 | 75,955 | 175 | 85 | 85 |
Chinese | 0 | 0 | 0 | 0 | 0 | 0 | 93,975 | 45,570 | 48,410 | 195 | 85 | 110 |
Black | 10 | 0 | 10 | 0 | 0 | 0 | 76,470 | 38,665 | 37,800 | 40 | 20 | 15 |
Filipino | 35 | 20 | 20 | 0 | 0 | 0 | 92,235 | 42,365 | 49,880 | 15 | 10 | 10 |
Arab | 0 | 0 | 0 | 0 | 0 | 0 | 32,660 | 17,235 | 15,425 | 20 | 10 | 10 |
Latin American | 30 | 15 | 15 | 10 | 0 | 0 | 35,155 | 16,925 | 18,235 | 30 | 20 | 15 |
Southeast Asian | 0 | 0 | 0 | 0 | 0 | 0 | 28,720 | 13,405 | 15,310 | 40 | 20 | 25 |
West Asian | 0 | 0 | 0 | 0 | 0 | 0 | 15,765 | 8,040 | 7,720 | 50 | 30 | 20 |
Korean | 0 | 0 | 0 | 0 | 0 | 0 | 13,150 | 6,285 | 6,865 | 80 | 55 | 25 |
Japanese | 0 | 0 | 0 | 0 | 0 | 0 | 6,455 | 2,780 | 3,675 | 0 | 0 | 0 |
Visible minority, n.i.e.119 | 0 | 0 | 0 | 0 | 0 | 0 | 5,845 | 2,855 | 2,985 | 0 | 0 | 0 |
Multiple visible minorities | 0 | 0 | 0 | 0 | 0 | 0 | 20,840 | 10,195 | 10,645 | 10 | 0 | 10 |
Not a visible minority120 | 385 | 215 | 170 | 200 | 110 | 90 | 996,285 | 499,530 | 496,755 | 700 | 325 | 375 |
Ethnic or cultural origin | ||||||||||||
Total - Ethnic or cultural origin for the population in private households - 25% sample data121 | 475 | 250 | 220 | 230 | 120 | 105 | 1,571,935 | 782,265 | 789,670 | 1,370 | 665 | 705 |
Canadian | 35 | 35 | 0 | 30 | 25 | 0 | 168,075 | 87,325 | 80,750 | 195 | 90 | 105 |
English | 140 | 65 | 75 | 60 | 20 | 35 | 276,300 | 136,835 | 139,465 | 170 | 85 | 90 |
Irish | 70 | 30 | 35 | 45 | 15 | 25 | 202,260 | 98,040 | 104,225 | 80 | 30 | 45 |
Scottish | 60 | 30 | 30 | 35 | 10 | 20 | 235,385 | 115,820 | 119,575 | 185 | 70 | 110 |
French, n.o.s.122 | 15 | 15 | 0 | 10 | 0 | 0 | 104,160 | 50,935 | 53,225 | 90 | 45 | 40 |
German | 65 | 30 | 35 | 35 | 25 | 15 | 197,770 | 97,860 | 99,910 | 160 | 60 | 100 |
Chinese | 0 | 0 | 0 | 0 | 0 | 0 | 99,705 | 48,045 | 51,650 | 170 | 75 | 95 |
Italian | 0 | 0 | 0 | 0 | 0 | 0 | 44,840 | 22,330 | 22,510 | 45 | 25 | 25 |
Indian (India) | 0 | 0 | 0 | 0 | 0 | 0 | 77,900 | 39,545 | 38,355 | 105 | 50 | 60 |
Ukrainian | 30 | 15 | 10 | 10 | 0 | 0 | 89,615 | 43,675 | 45,940 | 70 | 40 | 25 |
Dutch | 30 | 10 | 15 | 30 | 15 | 15 | 53,665 | 26,510 | 27,155 | 90 | 40 | 50 |
Polish | 20 | 0 | 20 | 15 | 10 | 10 | 53,675 | 25,885 | 27,790 | 85 | 50 | 35 |
Québécois | 0 | 0 | 0 | 0 | 0 | 0 | 1,965 | 990 | 970 | 0 | 0 | 0 |
British Isles, n.o.s.123 | 10 | 0 | 0 | 0 | 0 | 0 | 53,825 | 27,135 | 26,690 | 45 | 15 | 30 |
Filipino | 35 | 20 | 20 | 0 | 0 | 0 | 86,850 | 40,140 | 46,710 | 0 | 0 | 0 |
French Canadian | 0 | 0 | 0 | 0 | 0 | 0 | 11,575 | 5,740 | 5,835 | 0 | 0 | 0 |
Caucasian (White), n.o.s.124 | 0 | 0 | 0 | 0 | 0 | 0 | 26,685 | 13,810 | 12,875 | 15 | 0 | 10 |
First Nations (North American Indian), n.o.s.125 | 0 | 0 | 0 | 0 | 0 | 0 | 15,785 | 7,425 | 8,360 | 25 | 10 | 15 |
Métis | 15 | 0 | 10 | 0 | 0 | 0 | 27,350 | 12,945 | 14,410 | 0 | 0 | 0 |
European, n.o.s.126 | 15 | 10 | 0 | 0 | 0 | 0 | 28,815 | 14,565 | 14,250 | 20 | 15 | 0 |
Russian | 40 | 20 | 25 | 0 | 0 | 0 | 36,090 | 16,840 | 19,255 | 25 | 10 | 15 |
Norwegian | 15 | 0 | 10 | 30 | 15 | 15 | 44,865 | 21,320 | 23,545 | 60 | 25 | 35 |
Welsh | 10 | 0 | 10 | 0 | 0 | 0 | 27,905 | 13,365 | 14,540 | 20 | 10 | 10 |
Portuguese | 0 | 0 | 0 | 0 | 0 | 0 | 8,110 | 4,060 | 4,045 | 0 | 0 | 0 |
American | 0 | 0 | 0 | 0 | 0 | 0 | 23,975 | 11,565 | 12,415 | 10 | 0 | 10 |
Spanish | 20 | 10 | 10 | 0 | 0 | 0 | 19,620 | 9,075 | 10,545 | 0 | 0 | 0 |
Swedish | 0 | 0 | 0 | 0 | 0 | 0 | 28,290 | 13,540 | 14,750 | 0 | 0 | 0 |
Hungarian | 0 | 0 | 0 | 0 | 0 | 0 | 20,785 | 10,045 | 10,740 | 0 | 0 | 0 |
Acadian | 0 | 0 | 0 | 0 | 0 | 0 | 3,780 | 1,900 | 1,885 | 0 | 0 | 0 |
Pakistani | 0 | 0 | 0 | 0 | 0 | 0 | 24,175 | 12,270 | 11,905 | 0 | 0 | 0 |
African, n.o.s.127 | 0 | 0 | 0 | 0 | 0 | 0 | 15,105 | 7,435 | 7,670 | 30 | 20 | 10 |
Jewish | 0 | 0 | 0 | 0 | 0 | 0 | 7,450 | 3,730 | 3,715 | 0 | 0 | 0 |
Punjabi | 0 | 0 | 0 | 0 | 0 | 0 | 20,085 | 10,145 | 9,940 | 0 | 0 | 0 |
Vietnamese | 0 | 0 | 0 | 0 | 0 | 0 | 22,750 | 10,685 | 12,065 | 40 | 15 | 25 |
Arab, n.o.s.128 | 0 | 0 | 0 | 0 | 0 | 0 | 11,200 | 5,995 | 5,205 | 0 | 0 | 0 |
Greek | 0 | 0 | 0 | 0 | 0 | 0 | 6,530 | 3,370 | 3,160 | 0 | 0 | 0 |
Jamaican | 0 | 0 | 0 | 0 | 0 | 0 | 6,875 | 3,435 | 3,435 | 0 | 0 | 0 |
Asian, n.o.s.129 | 0 | 0 | 0 | 0 | 0 | 0 | 15,680 | 7,485 | 8,200 | 40 | 20 | 20 |
Cree, n.o.s.130 | 0 | 0 | 0 | 0 | 0 | 0 | 7,710 | 3,385 | 4,325 | 0 | 0 | 0 |
Korean | 0 | 0 | 0 | 0 | 0 | 0 | 13,215 | 6,260 | 6,955 | 70 | 45 | 25 |
Romanian | 0 | 0 | 0 | 0 | 0 | 0 | 12,805 | 6,050 | 6,760 | 30 | 15 | 15 |
Lebanese | 0 | 0 | 0 | 0 | 0 | 0 | 12,885 | 6,725 | 6,160 | 0 | 0 | 0 |
Iranian | 0 | 0 | 0 | 0 | 0 | 0 | 6,415 | 3,295 | 3,120 | 0 | 0 | 0 |
Christian, n.i.e.131 | 0 | 0 | 0 | 0 | 0 | 0 | 5,800 | 2,855 | 2,945 | 0 | 0 | 0 |
Danish | 15 | 0 | 15 | 0 | 0 | 0 | 19,915 | 9,935 | 9,980 | 0 | 0 | 0 |
North American Indigenous, n.o.s.132 | 0 | 0 | 0 | 0 | 0 | 0 | 5,325 | 2,530 | 2,795 | 0 | 0 | 0 |
Sikh | 0 | 0 | 0 | 0 | 0 | 0 | 16,100 | 8,300 | 7,800 | 0 | 0 | 0 |
Austrian | 0 | 0 | 0 | 0 | 0 | 0 | 13,225 | 6,465 | 6,765 | 0 | 0 | 0 |
Belgian | 0 | 0 | 0 | 0 | 0 | 0 | 7,255 | 3,475 | 3,780 | 0 | 0 | 0 |
Haitian | 0 | 0 | 0 | 0 | 0 | 0 | 1,120 | 570 | 555 | 0 | 0 | 0 |
Hindu | 0 | 0 | 0 | 0 | 0 | 0 | 9,050 | 4,560 | 4,490 | 0 | 0 | 0 |
Mexican | 0 | 0 | 0 | 0 | 0 | 0 | 9,145 | 4,490 | 4,655 | 0 | 0 | 0 |
Mennonite | 0 | 0 | 0 | 0 | 0 | 0 | 5,145 | 2,565 | 2,580 | 40 | 25 | 20 |
Swiss | 10 | 0 | 0 | 0 | 0 | 0 | 8,075 | 3,960 | 4,115 | 0 | 0 | 0 |
Finnish | 0 | 0 | 0 | 0 | 0 | 0 | 6,840 | 3,325 | 3,515 | 0 | 0 | 0 |
Sri Lankan | 0 | 0 | 0 | 0 | 0 | 0 | 2,095 | 1,040 | 1,050 | 0 | 0 | 0 |
Croatian | 0 | 0 | 0 | 0 | 0 | 0 | 6,125 | 3,000 | 3,125 | 0 | 0 | 0 |
Japanese | 0 | 0 | 0 | 0 | 0 | 0 | 8,860 | 3,910 | 4,950 | 0 | 0 | 0 |
South Asian, n.o.s.133 | 0 | 0 | 0 | 0 | 0 | 0 | 5,040 | 2,520 | 2,525 | 0 | 0 | 0 |
Mi'kmaq, n.o.s.134 | 0 | 0 | 0 | 0 | 0 | 0 | 1,845 | 905 | 945 | 0 | 0 | 0 |
Northern European, n.o.s.135 | 0 | 0 | 0 | 0 | 0 | 0 | 8,605 | 4,150 | 4,455 | 0 | 0 | 0 |
Muslim | 0 | 0 | 0 | 0 | 0 | 0 | 6,465 | 3,345 | 3,120 | 25 | 15 | 10 |
Egyptian | 0 | 0 | 0 | 0 | 0 | 0 | 4,945 | 2,630 | 2,310 | 20 | 0 | 10 |
Latin, Central or South American, n.o.s.136 | 0 | 0 | 0 | 0 | 0 | 0 | 6,575 | 3,255 | 3,320 | 0 | 0 | 0 |
Tamil | 0 | 0 | 0 | 0 | 0 | 0 | 1,450 | 760 | 690 | 0 | 0 | 0 |
Icelandic | 0 | 0 | 0 | 0 | 0 | 0 | 7,935 | 4,120 | 3,825 | 0 | 0 | 0 |
Colombian | 25 | 10 | 15 | 0 | 0 | 0 | 6,755 | 3,225 | 3,535 | 0 | 0 | 0 |
Moroccan | 0 | 0 | 0 | 0 | 0 | 0 | 975 | 470 | 505 | 0 | 0 | 0 |
Czech | 0 | 0 | 0 | 0 | 0 | 0 | 7,875 | 3,870 | 4,010 | 0 | 0 | 0 |
Syrian | 0 | 0 | 0 | 0 | 0 | 0 | 4,405 | 2,245 | 2,160 | 0 | 0 | 0 |
Guyanese | 0 | 0 | 0 | 0 | 0 | 0 | 1,350 | 665 | 680 | 0 | 0 | 0 |
Afghan | 0 | 0 | 0 | 0 | 0 | 0 | 6,890 | 3,395 | 3,495 | 0 | 0 | 0 |
Black, n.o.s.137 | 0 | 0 | 0 | 0 | 0 | 0 | 2,735 | 1,435 | 1,305 | 0 | 0 | 0 |
Serbian | 0 | 0 | 0 | 0 | 0 | 0 | 3,345 | 1,585 | 1,760 | 0 | 0 | 0 |
Ojibway | 0 | 0 | 0 | 0 | 0 | 0 | 1,440 | 725 | 715 | 0 | 0 | 0 |
Newfoundlander | 0 | 0 | 0 | 0 | 0 | 0 | 2,060 | 1,090 | 965 | 0 | 0 | 0 |
Hong Konger | 0 | 0 | 0 | 0 | 0 | 0 | 4,025 | 1,955 | 2,070 | 20 | 10 | 0 |
Ontarian | 0 | 0 | 0 | 0 | 0 | 0 | 1,420 | 635 | 785 | 0 | 0 | 0 |
Persian | 0 | 0 | 0 | 0 | 0 | 0 | 2,845 | 1,525 | 1,320 | 0 | 0 | 0 |
Trinidadian/Tobagonian | 0 | 0 | 0 | 0 | 0 | 0 | 1,805 | 900 | 910 | 0 | 0 | 0 |
Turkish | 0 | 0 | 0 | 0 | 0 | 0 | 2,760 | 1,525 | 1,235 | 0 | 0 | 0 |
Inuit, n.o.s.138 | 0 | 0 | 0 | 0 | 0 | 0 | 725 | 370 | 355 | 0 | 0 | 0 |
Bangladeshi | 0 | 0 | 0 | 0 | 0 | 0 | 3,675 | 1,870 | 1,800 | 0 | 0 | 0 |
Algerian | 0 | 0 | 0 | 0 | 0 | 0 | 665 | 335 | 330 | 0 | 0 | 0 |
Brazilian | 0 | 0 | 0 | 0 | 0 | 0 | 2,835 | 1,375 | 1,460 | 0 | 0 | 0 |
Nigerian | 0 | 0 | 0 | 0 | 0 | 0 | 8,720 | 4,460 | 4,265 | 0 | 0 | 0 |
Armenian | 0 | 0 | 0 | 0 | 0 | 0 | 1,030 | 535 | 495 | 0 | 0 | 0 |
Slovak | 0 | 0 | 0 | 0 | 0 | 0 | 4,430 | 2,200 | 2,225 | 0 | 0 | 0 |
Eastern European, n.o.s.139 | 0 | 0 | 0 | 0 | 0 | 0 | 3,085 | 1,440 | 1,645 | 0 | 0 | 0 |
Somali | 0 | 0 | 0 | 0 | 0 | 0 | 2,855 | 1,485 | 1,370 | 0 | 0 | 0 |
Taiwanese | 0 | 0 | 0 | 0 | 0 | 0 | 2,255 | 960 | 1,295 | 0 | 0 | 0 |
Iraqi | 0 | 0 | 0 | 0 | 0 | 0 | 3,140 | 1,520 | 1,620 | 0 | 0 | 0 |
Salvadorean | 0 | 0 | 0 | 0 | 0 | 0 | 2,660 | 1,315 | 1,345 | 0 | 0 | 0 |
African Caribbean | 0 | 0 | 0 | 0 | 0 | 0 | 1,090 | 590 | 500 | 0 | 0 | 0 |
East or Southeast Asian, n.o.s.140 | 0 | 0 | 0 | 0 | 0 | 0 | 3,945 | 1,855 | 2,090 | 0 | 0 | 0 |
West or Central Asian or Middle Eastern, n.o.s.141 | 0 | 0 | 0 | 0 | 0 | 0 | 2,805 | 1,480 | 1,330 | 50 | 25 | 25 |
Caribbean, n.o.s.142 | 0 | 0 | 0 | 0 | 0 | 0 | 1,435 | 720 | 710 | 0 | 0 | 0 |
Algonquin | 0 | 0 | 0 | 0 | 0 | 0 | 555 | 245 | 320 | 0 | 0 | 0 |
West Indian, n.o.s.143 | 0 | 0 | 0 | 0 | 0 | 0 | 975 | 430 | 540 | 0 | 0 | 0 |
Lithuanian | 0 | 0 | 0 | 0 | 0 | 0 | 2,420 | 1,080 | 1,345 | 0 | 0 | 0 |
South African | 0 | 0 | 0 | 0 | 0 | 0 | 3,795 | 1,905 | 1,890 | 0 | 0 | 0 |
Australian | 0 | 0 | 0 | 0 | 0 | 0 | 3,840 | 1,970 | 1,870 | 35 | 10 | 20 |
Palestinian | 0 | 0 | 0 | 0 | 0 | 0 | 1,875 | 1,025 | 845 | 0 | 0 | 0 |
Chilean | 0 | 0 | 0 | 0 | 0 | 0 | 3,325 | 1,765 | 1,560 | 0 | 0 | 0 |
Congolese | 0 | 0 | 0 | 0 | 0 | 0 | 1,100 | 515 | 580 | 0 | 0 | 0 |
Nova Scotian | 0 | 0 | 0 | 0 | 0 | 0 | 1,075 | 515 | 565 | 0 | 0 | 0 |
Ethiopian | 0 | 0 | 0 | 0 | 0 | 0 | 6,810 | 3,265 | 3,545 | 0 | 0 | 0 |
Hispanic, n.o.s.144 | 0 | 0 | 0 | 0 | 0 | 0 | 3,210 | 1,515 | 1,690 | 0 | 0 | 0 |
Peruvian | 0 | 0 | 0 | 0 | 0 | 0 | 1,605 | 775 | 830 | 0 | 0 | 0 |
Yoruba | 0 | 0 | 0 | 0 | 0 | 0 | 5,565 | 2,825 | 2,740 | 0 | 0 | 0 |
Cambodian (Khmer) | 0 | 0 | 0 | 0 | 0 | 0 | 2,140 | 1,060 | 1,075 | 0 | 0 | 0 |
Berber | 0 | 0 | 0 | 0 | 0 | 0 | 430 | 235 | 195 | 0 | 0 | 0 |
Albanian | 0 | 0 | 0 | 0 | 0 | 0 | 1,920 | 1,065 | 855 | 0 | 0 | 0 |
Maltese | 0 | 0 | 0 | 0 | 0 | 0 | 745 | 370 | 380 | 0 | 0 | 0 |
Macedonian | 0 | 0 | 0 | 0 | 0 | 0 | 490 | 235 | 255 | 0 | 0 | 0 |
Slovenian | 0 | 0 | 0 | 0 | 0 | 0 | 1,820 | 900 | 915 | 0 | 0 | 0 |
Western European, n.o.s.145 | 0 | 0 | 0 | 0 | 0 | 0 | 2,440 | 1,165 | 1,275 | 0 | 0 | 0 |
New Brunswicker | 0 | 0 | 0 | 0 | 0 | 0 | 535 | 215 | 320 | 0 | 0 | 0 |
Gujarati | 0 | 0 | 0 | 0 | 0 | 0 | 1,790 | 925 | 860 | 0 | 0 | 0 |
Eritrean | 0 | 0 | 0 | 0 | 0 | 0 | 5,425 | 2,745 | 2,680 | 0 | 0 | 0 |
African Canadian | 0 | 0 | 0 | 0 | 0 | 0 | 1,095 | 565 | 530 | 0 | 0 | 0 |
Israeli | 0 | 0 | 0 | 0 | 0 | 0 | 1,175 | 610 | 565 | 0 | 0 | 0 |
Mohawk | 0 | 0 | 0 | 0 | 0 | 0 | 650 | 375 | 275 | 0 | 0 | 0 |
Czechoslovakian, n.o.s.146 | 0 | 0 | 0 | 0 | 0 | 0 | 2,390 | 1,215 | 1,175 | 0 | 0 | 0 |
Bulgarian | 0 | 0 | 0 | 0 | 0 | 0 | 1,390 | 670 | 720 | 0 | 0 | 0 |
Albertan | 0 | 0 | 0 | 0 | 0 | 0 | 7,585 | 3,815 | 3,775 | 0 | 0 | 0 |
Ghanaian | 0 | 0 | 0 | 0 | 0 | 0 | 1,535 | 790 | 745 | 0 | 0 | 0 |
Barbadian | 0 | 0 | 0 | 0 | 0 | 0 | 755 | 380 | 380 | 0 | 0 | 0 |
African American | 0 | 0 | 0 | 0 | 0 | 0 | 1,150 | 555 | 590 | 0 | 0 | 0 |
Yugoslavian, n.o.s.147 | 0 | 0 | 0 | 0 | 0 | 0 | 1,370 | 725 | 645 | 0 | 0 | 0 |
Tunisian | 0 | 0 | 0 | 0 | 0 | 0 | 300 | 150 | 155 | 0 | 0 | 0 |
Slavic, n.o.s.148 | 0 | 0 | 0 | 0 | 0 | 0 | 1,440 | 755 | 695 | 0 | 0 | 0 |
Cuban | 0 | 0 | 0 | 0 | 0 | 0 | 890 | 425 | 465 | 0 | 0 | 0 |
Bosnian | 0 | 0 | 0 | 0 | 0 | 0 | 2,170 | 1,030 | 1,140 | 0 | 0 | 0 |
Venezuelan | 0 | 0 | 0 | 0 | 0 | 0 | 3,180 | 1,520 | 1,670 | 0 | 0 | 0 |
Innu/Montagnais, n.o.s.149 | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 35 | 15 | 0 | 0 | 0 |
Latvian | 0 | 0 | 0 | 0 | 0 | 0 | 1,225 | 605 | 625 | 0 | 0 | 0 |
Bengali | 0 | 0 | 0 | 0 | 0 | 0 | 1,245 | 615 | 630 | 0 | 0 | 0 |
Cameroonian | 0 | 0 | 0 | 0 | 0 | 0 | 1,060 | 545 | 520 | 0 | 0 | 0 |
Guatemalan | 0 | 0 | 0 | 0 | 0 | 0 | 1,380 | 655 | 730 | 0 | 0 | 0 |
Indonesian | 0 | 0 | 0 | 0 | 0 | 0 | 1,820 | 865 | 955 | 0 | 0 | 0 |
Laotian | 0 | 0 | 0 | 0 | 0 | 0 | 1,165 | 575 | 590 | 0 | 0 | 0 |
Ilocano | 0 | 0 | 0 | 0 | 0 | 0 | 2,705 | 1,255 | 1,450 | 0 | 0 | 0 |
Northern Irish | 0 | 0 | 0 | 0 | 0 | 0 | 1,140 | 560 | 575 | 0 | 0 | 0 |
Celtic, n.o.s.150 | 0 | 0 | 0 | 0 | 0 | 0 | 1,015 | 505 | 515 | 0 | 0 | 0 |
British Columbian | 0 | 0 | 0 | 0 | 0 | 0 | 660 | 370 | 290 | 0 | 0 | 0 |
Ecuadorian | 0 | 0 | 0 | 0 | 0 | 0 | 420 | 220 | 200 | 0 | 0 | 0 |
Franco Ontarian | 0 | 0 | 0 | 0 | 0 | 0 | 150 | 100 | 50 | 0 | 0 | 0 |
Argentinian | 0 | 0 | 0 | 0 | 0 | 0 | 1,250 | 625 | 625 | 0 | 0 | 0 |
Estonian | 0 | 0 | 0 | 0 | 0 | 0 | 1,175 | 565 | 610 | 0 | 0 | 0 |
Kurdish | 0 | 0 | 0 | 0 | 0 | 0 | 1,120 | 555 | 565 | 0 | 0 | 0 |
Fijian | 0 | 0 | 0 | 0 | 0 | 0 | 1,250 | 590 | 660 | 0 | 0 | 0 |
Jatt | 0 | 0 | 0 | 0 | 0 | 0 | 1,575 | 785 | 780 | 0 | 0 | 0 |
North American, n.o.s.151 | 0 | 0 | 0 | 0 | 0 | 0 | 940 | 490 | 450 | 0 | 0 | 0 |
Coptic | 0 | 0 | 0 | 0 | 0 | 0 | 455 | 230 | 225 | 0 | 0 | 0 |
Thai | 0 | 0 | 0 | 0 | 0 | 0 | 1,395 | 430 | 965 | 0 | 0 | 0 |
Dominican | 0 | 0 | 0 | 0 | 0 | 0 | 410 | 250 | 160 | 0 | 0 | 0 |
Nepali | 0 | 0 | 0 | 0 | 0 | 0 | 2,340 | 1,200 | 1,135 | 0 | 0 | 0 |
Kabyle | 0 | 0 | 0 | 0 | 0 | 0 | 95 | 50 | 50 | 0 | 0 | 0 |
Assyrian | 0 | 0 | 0 | 0 | 0 | 0 | 435 | 225 | 205 | 0 | 0 | 0 |
Igbo | 0 | 0 | 0 | 0 | 0 | 0 | 3,480 | 1,820 | 1,665 | 0 | 0 | 0 |
Byelorussian | 0 | 0 | 0 | 0 | 0 | 0 | 855 | 420 | 440 | 0 | 0 | 0 |
Dene, n.o.s.152 | 0 | 0 | 0 | 0 | 0 | 0 | 230 | 105 | 125 | 0 | 0 | 0 |
Blackfoot, n.o.s.153 | 0 | 0 | 0 | 0 | 0 | 0 | 1,810 | 770 | 1,035 | 0 | 0 | 0 |
Abenaki | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 20 | 25 | 0 | 0 | 0 |
Moldovan | 0 | 0 | 0 | 0 | 0 | 0 | 1,140 | 615 | 525 | 0 | 0 | 0 |
Iroquois (Haudenosaunee), n.o.s.154 | 0 | 0 | 0 | 0 | 0 | 0 | 315 | 145 | 170 | 0 | 0 | 0 |
New Zealander | 0 | 0 | 0 | 0 | 0 | 0 | 1,375 | 705 | 670 | 0 | 0 | 0 |
Sudanese | 0 | 0 | 0 | 0 | 0 | 0 | 2,640 | 1,275 | 1,370 | 0 | 0 | 0 |
Breton | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 30 | 35 | 0 | 0 | 0 |
Pennsylvania Dutch | 0 | 0 | 0 | 0 | 0 | 0 | 525 | 190 | 340 | 0 | 0 | 0 |
Malaysian | 0 | 0 | 0 | 0 | 0 | 0 | 1,260 | 615 | 650 | 0 | 0 | 0 |
Plains Cree | 0 | 0 | 0 | 0 | 0 | 0 | 240 | 115 | 125 | 0 | 0 | 0 |
North African, n.o.s.155 | 0 | 0 | 0 | 0 | 0 | 0 | 505 | 250 | 250 | 0 | 0 | 0 |
Huron (Wendat) | 0 | 0 | 0 | 0 | 0 | 0 | 115 | 55 | 60 | 0 | 0 | 0 |
Saskatchewanian | 0 | 0 | 0 | 0 | 0 | 0 | 1,630 | 765 | 865 | 0 | 0 | 0 |
Buddhist | 0 | 0 | 0 | 0 | 0 | 0 | 1,070 | 515 | 555 | 0 | 0 | 0 |
Gaspesian | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0 | 10 | 0 | 0 | 0 |
Norman | 0 | 0 | 0 | 0 | 0 | 0 | 185 | 115 | 65 | 0 | 0 | 0 |
Southern or East African, n.o.s.156 | 0 | 0 | 0 | 0 | 0 | 0 | 1,285 | 655 | 630 | 0 | 0 | 0 |
Ivorian | 0 | 0 | 0 | 0 | 0 | 0 | 225 | 115 | 110 | 0 | 0 | 0 |
Saulteaux | 0 | 0 | 0 | 0 | 0 | 0 | 330 | 150 | 180 | 0 | 0 | 0 |
Anishinaabe, n.o.s.157 | 0 | 0 | 0 | 0 | 0 | 0 | 180 | 70 | 110 | 0 | 0 | 0 |
Burundian | 0 | 0 | 0 | 0 | 0 | 0 | 170 | 75 | 100 | 0 | 0 | 0 |
Tigrinya | 0 | 0 | 0 | 0 | 0 | 0 | 2,275 | 1,240 | 1,035 | 0 | 0 | 0 |
Nicaraguan | 0 | 0 | 0 | 0 | 0 | 0 | 990 | 465 | 525 | 0 | 0 | 0 |
Mauritian | 0 | 0 | 0 | 0 | 0 | 0 | 485 | 210 | 275 | 0 | 0 | 0 |
Kenyan | 0 | 0 | 0 | 0 | 0 | 0 | 1,140 | 565 | 570 | 0 | 0 | 0 |
Oji-Cree | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 20 | 20 | 0 | 0 | 0 |
Vincentian | 0 | 0 | 0 | 0 | 0 | 0 | 235 | 105 | 125 | 0 | 0 | 0 |
Jordanian | 0 | 0 | 0 | 0 | 0 | 0 | 475 | 240 | 240 | 0 | 0 | 0 |
Manitoban | 0 | 0 | 0 | 0 | 0 | 0 | 700 | 360 | 340 | 0 | 0 | 0 |
Cape Bretoner | 0 | 0 | 0 | 0 | 0 | 0 | 225 | 120 | 110 | 0 | 0 | 0 |
Rwandan | 0 | 0 | 0 | 0 | 0 | 0 | 280 | 150 | 130 | 0 | 0 | 0 |
Grenadian | 0 | 0 | 0 | 0 | 0 | 0 | 250 | 100 | 150 | 0 | 0 | 0 |
Malayali | 0 | 0 | 0 | 0 | 0 | 0 | 680 | 380 | 295 | 0 | 0 | 0 |
Chaldean | 0 | 0 | 0 | 0 | 0 | 0 | 165 | 80 | 85 | 0 | 0 | 0 |
Sinhalese | 0 | 0 | 0 | 0 | 0 | 0 | 575 | 265 | 310 | 0 | 0 | 0 |
Mayan | 0 | 0 | 0 | 0 | 0 | 0 | 675 | 360 | 320 | 0 | 0 | 0 |
Honduran | 0 | 0 | 0 | 0 | 0 | 0 | 355 | 150 | 200 | 0 | 0 | 0 |
Cherokee | 0 | 0 | 0 | 0 | 0 | 0 | 655 | 325 | 335 | 0 | 0 | 0 |
Qalipu Mi'kmaq | 0 | 0 | 0 | 0 | 0 | 0 | 160 | 75 | 85 | 0 | 0 | 0 |
Indo-Caribbean | 0 | 0 | 0 | 0 | 0 | 0 | 160 | 85 | 80 | 0 | 0 | 0 |
Flemish | 0 | 0 | 0 | 0 | 0 | 0 | 525 | 220 | 310 | 0 | 0 | 0 |
United Empire Loyalist | 0 | 0 | 0 | 0 | 0 | 0 | 230 | 100 | 130 | 0 | 0 | 0 |
Senegalese | 0 | 0 | 0 | 0 | 0 | 0 | 140 | 100 | 35 | 0 | 0 | 0 |
Azerbaijani | 0 | 0 | 0 | 0 | 0 | 0 | 670 | 350 | 320 | 0 | 0 | 0 |
Sicilian | 0 | 0 | 0 | 0 | 0 | 0 | 130 | 45 | 85 | 0 | 0 | 0 |
Pashtun | 0 | 0 | 0 | 0 | 0 | 0 | 865 | 440 | 420 | 0 | 0 | 0 |
Malay | 0 | 0 | 0 | 0 | 0 | 0 | 855 | 370 | 485 | 0 | 0 | 0 |
Goan | 0 | 0 | 0 | 0 | 0 | 0 | 375 | 195 | 180 | 0 | 0 | 0 |
Bantu, n.o.s.158 | 0 | 0 | 0 | 0 | 0 | 0 | 405 | 210 | 195 | 0 | 0 | 0 |
Tibetan | 0 | 0 | 0 | 0 | 0 | 0 | 795 | 415 | 385 | 0 | 0 | 0 |
Zimbabwean | 0 | 0 | 0 | 0 | 0 | 0 | 775 | 345 | 430 | 0 | 0 | 0 |
Burmese | 0 | 0 | 0 | 0 | 0 | 0 | 600 | 285 | 310 | 0 | 0 | 0 |
Mongolian | 0 | 0 | 0 | 0 | 0 | 0 | 1,015 | 470 | 545 | 0 | 0 | 0 |
Azorean | 0 | 0 | 0 | 0 | 0 | 0 | 125 | 50 | 70 | 0 | 0 | 0 |
Atikamekw | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Bamileke | 0 | 0 | 0 | 0 | 0 | 0 | 165 | 100 | 65 | 0 | 0 | 0 |
Indo-Guyanese | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 45 | 35 | 0 | 0 | 0 |
Ugandan | 0 | 0 | 0 | 0 | 0 | 0 | 370 | 175 | 190 | 0 | 0 | 0 |
Oromo | 0 | 0 | 0 | 0 | 0 | 0 | 1,570 | 875 | 695 | 0 | 0 | 0 |
Tanzanian | 0 | 0 | 0 | 0 | 0 | 0 | 845 | 440 | 400 | 0 | 0 | 0 |
Yemeni | 0 | 0 | 0 | 0 | 0 | 0 | 595 | 295 | 300 | 0 | 0 | 0 |
Central African | 0 | 0 | 0 | 0 | 0 | 0 | 70 | 35 | 40 | 0 | 0 | 0 |
Libyan | 0 | 0 | 0 | 0 | 0 | 0 | 450 | 265 | 190 | 0 | 0 | 0 |
Basque | 0 | 0 | 0 | 0 | 0 | 0 | 205 | 95 | 105 | 0 | 0 | 0 |
Uruguayan | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 45 | 55 | 0 | 0 | 0 |
Akan, n.o.s.159 | 0 | 0 | 0 | 0 | 0 | 0 | 360 | 160 | 200 | 0 | 0 | 0 |
Central or West African, n.o.s.160 | 0 | 0 | 0 | 0 | 0 | 0 | 355 | 210 | 140 | 0 | 0 | 0 |
Igorot | 0 | 0 | 0 | 0 | 0 | 0 | 1,195 | 560 | 635 | 0 | 0 | 0 |
Fulani | 0 | 0 | 0 | 0 | 0 | 0 | 75 | 35 | 50 | 0 | 0 | 0 |
Woodland Cree | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 45 | 40 | 0 | 0 | 0 |
Guinean | 0 | 0 | 0 | 0 | 0 | 0 | 155 | 85 | 70 | 0 | 0 | 0 |
St. Lucian | 0 | 0 | 0 | 0 | 0 | 0 | 285 | 110 | 175 | 0 | 0 | 0 |
Prince Edward Islander | 0 | 0 | 0 | 0 | 0 | 0 | 285 | 130 | 150 | 0 | 0 | 0 |
Maliseet | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 15 | 10 | 0 | 0 | 0 |
Beninese | 0 | 0 | 0 | 0 | 0 | 0 | 160 | 80 | 80 | 0 | 0 | 0 |
Telugu | 0 | 0 | 0 | 0 | 0 | 0 | 260 | 145 | 120 | 0 | 0 | 0 |
Roma | 0 | 0 | 0 | 0 | 0 | 0 | 240 | 110 | 130 | 0 | 0 | 0 |
Costa Rican | 0 | 0 | 0 | 0 | 0 | 0 | 205 | 115 | 90 | 0 | 0 | 0 |
African Nova Scotian | 0 | 0 | 0 | 0 | 0 | 0 | 120 | 60 | 60 | 0 | 0 | 0 |
Malagasy | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 25 | 25 | 0 | 0 | 0 |
Kashmiri | 0 | 0 | 0 | 0 | 0 | 0 | 820 | 405 | 415 | 0 | 0 | 0 |
Singaporean | 0 | 0 | 0 | 0 | 0 | 0 | 345 | 135 | 210 | 0 | 0 | 0 |
Karen | 0 | 0 | 0 | 0 | 0 | 0 | 390 | 195 | 195 | 0 | 0 | 0 |
Edo | 0 | 0 | 0 | 0 | 0 | 0 | 665 | 370 | 295 | 0 | 0 | 0 |
Tajik | 0 | 0 | 0 | 0 | 0 | 0 | 280 | 130 | 145 | 0 | 0 | 0 |
Amhara | 0 | 0 | 0 | 0 | 0 | 0 | 820 | 440 | 385 | 0 | 0 | 0 |
Paraguayan | 0 | 0 | 0 | 0 | 0 | 0 | 120 | 35 | 90 | 0 | 0 | 0 |
Religion | ||||||||||||
Total - Religion for the population in private households - 25% sample data161 | 475 | 255 | 225 | 230 | 125 | 110 | 1,571,935 | 782,265 | 789,670 | 1,375 | 660 | 710 |
Buddhist | 0 | 0 | 0 | 0 | 0 | 0 | 22,425 | 9,955 | 12,470 | 50 | 25 | 20 |
Christian | 250 | 115 | 135 | 120 | 70 | 50 | 713,465 | 336,705 | 376,760 | 650 | 310 | 340 |
Christian, n.o.s.162 | 10 | 0 | 10 | 0 | 0 | 0 | 153,665 | 73,675 | 79,985 | 245 | 110 | 135 |
Anabaptist | 0 | 0 | 0 | 0 | 0 | 0 | 2,730 | 1,325 | 1,405 | 0 | 0 | 0 |
Anglican | 25 | 10 | 10 | 0 | 0 | 0 | 35,625 | 16,415 | 19,210 | 20 | 0 | 15 |
Baptist | 0 | 0 | 0 | 0 | 0 | 0 | 14,480 | 6,660 | 7,815 | 0 | 0 | 0 |
Catholic | 160 | 85 | 70 | 55 | 20 | 30 | 312,410 | 149,290 | 163,120 | 215 | 120 | 95 |
Christian Orthodox | 0 | 0 | 0 | 0 | 0 | 0 | 25,935 | 12,595 | 13,340 | 0 | 0 | 0 |
Jehovah's Witness | 0 | 0 | 0 | 0 | 0 | 0 | 6,765 | 3,065 | 3,695 | 0 | 0 | 0 |
Latter Day Saints | 0 | 0 | 0 | 0 | 0 | 0 | 13,890 | 6,525 | 7,365 | 0 | 0 | 0 |
Lutheran | 0 | 0 | 0 | 0 | 0 | 0 | 19,790 | 8,955 | 10,835 | 30 | 15 | 20 |
Methodist and Wesleyan (Holiness) | 0 | 0 | 0 | 0 | 0 | 0 | 3,670 | 1,655 | 2,015 | 15 | 10 | 10 |
Pentecostal and other Charismatic | 0 | 0 | 0 | 0 | 0 | 0 | 17,325 | 8,180 | 9,145 | 25 | 15 | 10 |
Presbyterian | 0 | 0 | 0 | 0 | 0 | 0 | 10,200 | 4,585 | 5,615 | 0 | 0 | 0 |
Reformed | 0 | 0 | 0 | 0 | 0 | 0 | 1,880 | 950 | 930 | 0 | 0 | 0 |
United Church | 10 | 0 | 10 | 0 | 0 | 0 | 51,720 | 22,415 | 29,305 | 20 | 10 | 15 |
Other Christian and Christian-related traditions | 25 | 15 | 10 | 30 | 15 | 15 | 43,375 | 20,405 | 22,970 | 55 | 20 | 40 |
Hindu | 0 | 0 | 0 | 0 | 0 | 0 | 35,335 | 18,180 | 17,155 | 55 | 20 | 30 |
Jewish | 0 | 0 | 0 | 0 | 0 | 0 | 6,820 | 3,305 | 3,515 | 0 | 0 | 0 |
Muslim | 0 | 0 | 0 | 0 | 0 | 0 | 101,285 | 51,675 | 49,610 | 95 | 50 | 45 |
Sikh | 0 | 0 | 0 | 0 | 0 | 0 | 56,230 | 28,325 | 27,905 | 0 | 0 | 0 |
Traditional (North American Indigenous) spirituality | 0 | 0 | 0 | 0 | 0 | 0 | 1,515 | 550 | 960 | 0 | 0 | 0 |
Other religions and spiritual traditions | 10 | 0 | 0 | 0 | 0 | 0 | 11,305 | 4,775 | 6,530 | 20 | 10 | 15 |
No religion and secular perspectives | 215 | 130 | 85 | 100 | 50 | 50 | 623,560 | 328,795 | 294,765 | 490 | 240 | 250 |
Mobility status 1 year ago | ||||||||||||
Total - Mobility status 1 year ago - 25% sample data163 | 480 | 250 | 225 | 235 | 120 | 110 | 1,555,360 | 773,705 | 781,660 | 1,365 | 660 | 700 |
Non-movers | 395 | 195 | 200 | 205 | 110 | 90 | 1,345,810 | 669,430 | 676,380 | 1,300 | 630 | 675 |
Movers | 85 | 60 | 25 | 30 | 15 | 20 | 209,550 | 104,275 | 105,275 | 65 | 30 | 30 |
Non-migrants | 70 | 50 | 15 | 30 | 15 | 20 | 147,415 | 73,505 | 73,910 | 55 | 25 | 25 |
Migrants | 15 | 10 | 0 | 0 | 0 | 0 | 62,135 | 30,765 | 31,365 | 0 | 0 | 0 |
Internal migrants | 15 | 10 | 0 | 0 | 0 | 0 | 47,380 | 23,440 | 23,940 | 0 | 0 | 0 |
Intraprovincial migrants | 0 | 0 | 0 | 0 | 0 | 0 | 28,075 | 13,860 | 14,215 | 0 | 0 | 0 |
Interprovincial migrants | 0 | 0 | 0 | 0 | 0 | 0 | 19,305 | 9,580 | 9,725 | 0 | 0 | 0 |
External migrants | 0 | 0 | 0 | 0 | 0 | 0 | 14,755 | 7,325 | 7,430 | 0 | 0 | 0 |
Mobility status 5 years ago | ||||||||||||
Total - Mobility status 5 years ago - 25% sample data164 | 475 | 250 | 225 | 220 | 115 | 105 | 1,482,335 | 736,360 | 745,975 | 1,340 | 645 | 695 |
Non-movers | 260 | 130 | 135 | 170 | 90 | 75 | 863,155 | 429,060 | 434,095 | 1,085 | 510 | 575 |
Movers | 210 | 120 | 95 | 55 | 25 | 30 | 619,175 | 307,300 | 311,880 | 260 | 135 | 125 |
Non-migrants | 140 | 75 | 65 | 55 | 25 | 30 | 363,260 | 181,560 | 181,700 | 200 | 105 | 95 |
Migrants | 75 | 45 | 25 | 0 | 0 | 0 | 255,920 | 125,740 | 130,180 | 60 | 30 | 30 |
Internal migrants | 65 | 40 | 25 | 0 | 0 | 0 | 177,420 | 87,415 | 90,005 | 20 | 15 | 0 |
Intraprovincial migrants | 45 | 25 | 20 | 0 | 0 | 0 | 112,590 | 55,855 | 56,735 | 10 | 0 | 0 |
Interprovincial migrants | 20 | 15 | 10 | 0 | 0 | 0 | 64,830 | 31,560 | 33,270 | 10 | 0 | 0 |
External migrants | 10 | 10 | 0 | 0 | 0 | 0 | 78,500 | 38,320 | 40,180 | 40 | 15 | 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 | 405 | 205 | 195 | 195 | 100 | 95 | 1,278,375 | 631,155 | 647,215 | 1,135 | 565 | 570 |
No high school diploma or equivalency certificate | 55 | 35 | 15 | 0 | 0 | 0 | 182,850 | 95,955 | 86,895 | 145 | 70 | 75 |
With high school diploma or equivalency certificate166 | 350 | 170 | 180 | 185 | 100 | 90 | 1,095,525 | 535,200 | 560,320 | 990 | 500 | 495 |
Total - Secondary (high) school diploma or equivalency certificate for the population aged 25 to 64 years in private households - 25% sample data165 | 235 | 115 | 125 | 95 | 45 | 50 | 886,650 | 437,700 | 448,950 | 730 | 360 | 370 |
No high school diploma or equivalency certificate | 20 | 20 | 0 | 0 | 0 | 0 | 79,025 | 43,715 | 35,310 | 25 | 20 | 0 |
With high school diploma or equivalency certificate166 | 215 | 95 | 125 | 95 | 45 | 50 | 807,620 | 393,985 | 413,640 | 705 | 340 | 360 |
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 | 400 | 205 | 195 | 195 | 95 | 95 | 1,278,375 | 631,155 | 647,220 | 1,130 | 565 | 565 |
No certificate, diploma or degree | 50 | 35 | 20 | 0 | 0 | 0 | 163,710 | 84,360 | 79,350 | 140 | 65 | 75 |
High (secondary) school diploma or equivalency certificate167 | 100 | 45 | 50 | 30 | 15 | 20 | 339,400 | 169,445 | 169,950 | 215 | 105 | 110 |
Postsecondary certificate, diploma or degree | 255 | 120 | 130 | 160 | 90 | 70 | 775,265 | 377,350 | 397,915 | 780 | 395 | 380 |
Postsecondary certificate or diploma below bachelor level | 140 | 60 | 75 | 55 | 35 | 25 | 348,595 | 174,345 | 174,250 | 250 | 110 | 140 |
Apprenticeship or trades certificate or diploma | 30 | 30 | 0 | 0 | 0 | 0 | 84,805 | 63,760 | 21,050 | 70 | 60 | 15 |
Non-apprenticeship trades certificate or diploma168 | 0 | 0 | 0 | 0 | 0 | 0 | 29,285 | 16,610 | 12,680 | 25 | 20 | 0 |
Apprenticeship certificate169 | 30 | 30 | 0 | 0 | 0 | 0 | 55,525 | 47,150 | 8,375 | 45 | 40 | 0 |
College, CEGEP or other non-university certificate or diploma170 | 100 | 30 | 70 | 45 | 30 | 20 | 221,065 | 92,585 | 128,480 | 110 | 25 | 85 |
University certificate or diploma below bachelor level | 0 | 0 | 0 | 0 | 0 | 0 | 42,725 | 18,000 | 24,720 | 70 | 30 | 45 |
Bachelor's degree or higher | 120 | 65 | 55 | 100 | 55 | 50 | 426,670 | 203,005 | 223,660 | 530 | 290 | 240 |
Bachelor's degree | 75 | 35 | 40 | 70 | 35 | 35 | 294,610 | 137,240 | 157,375 | 380 | 180 | 200 |
University certificate or diploma above bachelor level | 10 | 10 | 0 | 0 | 0 | 0 | 22,475 | 10,080 | 12,390 | 15 | 15 | 0 |
Degree in medicine, dentistry, veterinary medicine or optometry | 0 | 0 | 0 | 0 | 0 | 0 | 10,785 | 5,050 | 5,735 | 10 | 0 | 0 |
Master's degree | 20 | 15 | 10 | 15 | 15 | 0 | 86,005 | 42,875 | 43,130 | 105 | 80 | 30 |
Earned doctorate171 | 10 | 10 | 0 | 0 | 0 | 0 | 12,795 | 7,765 | 5,030 | 20 | 20 | 0 |
Total - Highest certificate, diploma or degree for the population aged 25 to 64 years in private households - 25% sample data165 | 235 | 110 | 120 | 95 | 45 | 50 | 886,650 | 437,700 | 448,950 | 730 | 360 | 365 |
No certificate, diploma or degree | 15 | 15 | 0 | 0 | 0 | 0 | 66,625 | 36,450 | 30,175 | 25 | 20 | 10 |
High (secondary) school diploma or equivalency certificate167 | 50 | 25 | 20 | 25 | 10 | 20 | 197,715 | 102,665 | 95,045 | 95 | 45 | 55 |
Postsecondary certificate, diploma or degree | 170 | 65 | 105 | 70 | 40 | 30 | 622,315 | 298,585 | 323,730 | 610 | 295 | 310 |
Postsecondary certificate or diploma below bachelor level | 100 | 30 | 65 | 10 | 15 | 0 | 266,590 | 133,640 | 132,950 | 195 | 80 | 120 |
Apprenticeship or trades certificate or diploma | 20 | 20 | 0 | 0 | 0 | 0 | 63,270 | 48,090 | 15,175 | 50 | 45 | 0 |
Non-apprenticeship trades certificate or diploma168 | 0 | 0 | 0 | 0 | 0 | 0 | 20,715 | 12,025 | 8,685 | 25 | 25 | 0 |
Apprenticeship certificate169 | 20 | 20 | 0 | 0 | 0 | 0 | 42,560 | 36,060 | 6,495 | 25 | 25 | 0 |
College, CEGEP or other non-university certificate or diploma170 | 70 | 10 | 60 | 10 | 15 | 0 | 170,270 | 71,565 | 98,700 | 95 | 20 | 75 |
University certificate or diploma below bachelor level | 0 | 0 | 0 | 0 | 0 | 0 | 33,050 | 13,985 | 19,070 | 55 | 15 | 40 |
Bachelor's degree or higher | 75 | 35 | 35 | 55 | 25 | 25 | 355,720 | 164,940 | 190,775 | 410 | 220 | 190 |
Bachelor's degree | 50 | 25 | 30 | 35 | 15 | 15 | 244,340 | 111,530 | 132,810 | 290 | 135 | 155 |
University certificate or diploma above bachelor level | 0 | 0 | 0 | 0 | 0 | 0 | 17,980 | 7,805 | 10,175 | 10 | 10 | 0 |
Degree in medicine, dentistry, veterinary medicine or optometry | 0 | 0 | 0 | 0 | 0 | 0 | 9,185 | 4,015 | 5,170 | 0 | 0 | 0 |
Master's degree | 15 | 10 | 10 | 0 | 0 | 0 | 74,335 | 35,965 | 38,370 | 90 | 65 | 25 |
Earned doctorate171 | 0 | 0 | 0 | 0 | 0 | 0 | 9,880 | 5,625 | 4,255 | 10 | 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 | 400 | 205 | 200 | 195 | 100 | 100 | 1,278,375 | 631,155 | 647,220 | 1,130 | 570 | 565 |
No postsecondary certificate, diploma or degree173 | 150 | 80 | 65 | 35 | 15 | 20 | 503,110 | 253,805 | 249,305 | 355 | 165 | 185 |
Education | 20 | 15 | 10 | 30 | 15 | 20 | 46,605 | 10,200 | 36,405 | 60 | 15 | 45 |
13. Education | 20 | 15 | 10 | 30 | 15 | 20 | 46,605 | 10,200 | 36,405 | 60 | 15 | 45 |
Visual and performing arts, and communications technologies | 0 | 0 | 0 | 0 | 0 | 0 | 23,385 | 9,460 | 13,925 | 20 | 10 | 15 |
10. Communications technologies/technicians and support services | 0 | 0 | 0 | 0 | 0 | 0 | 2,560 | 1,930 | 630 | 0 | 0 | 0 |
50. Visual and performing arts | 0 | 0 | 0 | 0 | 0 | 0 | 20,825 | 7,530 | 13,295 | 20 | 10 | 15 |
Humanities | 0 | 0 | 0 | 0 | 0 | 0 | 34,000 | 12,365 | 21,635 | 65 | 30 | 35 |
16. Indigenous and foreign languages, literatures, and linguistics | 0 | 0 | 0 | 0 | 0 | 0 | 3,675 | 735 | 2,940 | 10 | 0 | 0 |
23. English language and literature/letters | 0 | 0 | 0 | 0 | 0 | 0 | 7,415 | 1,915 | 5,495 | 0 | 0 | 0 |
24. Liberal arts and sciences, general studies and humanities | 0 | 0 | 0 | 0 | 0 | 0 | 11,560 | 4,095 | 7,460 | 20 | 0 | 15 |
30A Interdisciplinary humanities174 | 0 | 0 | 0 | 0 | 0 | 0 | 525 | 185 | 340 | 0 | 0 | 0 |
38. Philosophy and religious studies | 0 | 0 | 0 | 0 | 0 | 0 | 2,325 | 1,255 | 1,065 | 0 | 0 | 0 |
39. Theology and religious vocations | 0 | 0 | 0 | 0 | 0 | 0 | 3,860 | 2,195 | 1,665 | 0 | 0 | 0 |
54. History | 0 | 0 | 0 | 0 | 0 | 0 | 3,810 | 1,820 | 1,990 | 15 | 0 | 15 |
55. French language and literature/lettersCAN | 0 | 0 | 0 | 0 | 0 | 0 | 830 | 165 | 665 | 0 | 0 | 0 |
Social and behavioural sciences and law | 40 | 10 | 25 | 20 | 0 | 20 | 83,860 | 28,790 | 55,065 | 70 | 25 | 45 |
05. Area, ethnic, cultural, gender, and group studies | 0 | 0 | 0 | 0 | 0 | 0 | 1,155 | 220 | 930 | 0 | 0 | 0 |
09. Communication, journalism and related programs | 0 | 0 | 0 | 0 | 0 | 0 | 11,400 | 4,015 | 7,380 | 0 | 0 | 0 |
19. Family and consumer sciences/human sciences | 0 | 0 | 0 | 0 | 0 | 0 | 9,690 | 735 | 8,955 | 10 | 0 | 10 |
22. Legal professions and studies | 15 | 0 | 15 | 10 | 0 | 10 | 15,515 | 5,275 | 10,245 | 0 | 0 | 0 |
30B Interdisciplinary social and behavioural sciences175 | 0 | 0 | 0 | 0 | 0 | 0 | 1,605 | 560 | 1,045 | 0 | 0 | 0 |
42. Psychology | 0 | 0 | 0 | 0 | 0 | 0 | 13,800 | 3,115 | 10,680 | 25 | 10 | 20 |
45. Social sciences | 10 | 0 | 0 | 0 | 0 | 0 | 30,700 | 14,865 | 15,830 | 30 | 15 | 10 |
Business, management and public administration | 50 | 20 | 35 | 50 | 25 | 20 | 177,710 | 75,825 | 101,885 | 185 | 85 | 100 |
30.16 Accounting and computer science | 0 | 0 | 0 | 0 | 0 | 0 | 180 | 60 | 120 | 0 | 0 | 0 |
44. Public administration and social service professions | 10 | 0 | 10 | 0 | 0 | 0 | 8,595 | 1,605 | 6,995 | 0 | 0 | 0 |
52. Business, management, marketing and related support services | 40 | 20 | 25 | 50 | 25 | 20 | 168,935 | 74,160 | 94,770 | 185 | 85 | 100 |
Physical and life sciences and technologies | 25 | 20 | 10 | 0 | 0 | 0 | 39,940 | 20,670 | 19,265 | 60 | 25 | 30 |
26. Biological and biomedical sciences | 10 | 0 | 10 | 0 | 0 | 0 | 13,395 | 5,160 | 8,240 | 15 | 0 | 10 |
30.01 Biological and physical sciences | 10 | 10 | 0 | 0 | 0 | 0 | 8,180 | 3,785 | 4,395 | 25 | 10 | 15 |
30C Other interdisciplinary physical and life sciences176 | 0 | 0 | 0 | 0 | 0 | 0 | 665 | 260 | 410 | 0 | 0 | 0 |
40. Physical sciences | 0 | 0 | 0 | 0 | 0 | 0 | 16,065 | 10,835 | 5,225 | 25 | 15 | 10 |
41. Science technologies/technicians | 0 | 0 | 0 | 0 | 0 | 0 | 1,630 | 635 | 995 | 0 | 0 | 0 |
Mathematics, computer and information sciences | 15 | 0 | 10 | 0 | 0 | 0 | 36,465 | 23,975 | 12,485 | 35 | 30 | 0 |
11. Computer and information sciences and support services | 15 | 0 | 10 | 0 | 0 | 0 | 30,070 | 21,020 | 9,055 | 30 | 25 | 0 |
25. Library science | 0 | 0 | 0 | 0 | 0 | 0 | 1,630 | 200 | 1,430 | 0 | 0 | 0 |
27. Mathematics and statistics | 0 | 0 | 0 | 0 | 0 | 0 | 4,030 | 2,275 | 1,755 | 0 | 0 | 0 |
30D Interdisciplinary mathematics, computer and information sciences177 | 0 | 0 | 0 | 0 | 0 | 0 | 730 | 485 | 250 | 0 | 0 | 0 |
Architecture, engineering, and related trades | 65 | 55 | 10 | 30 | 25 | 0 | 173,505 | 149,155 | 24,355 | 160 | 140 | 15 |
04. Architecture and related services | 0 | 0 | 0 | 0 | 0 | 0 | 6,470 | 4,065 | 2,410 | 10 | 0 | 10 |
14. Engineering | 15 | 10 | 0 | 15 | 10 | 0 | 66,620 | 53,075 | 13,545 | 80 | 80 | 0 |
15. Engineering/engineering-related technologies/technicians | 10 | 10 | 0 | 10 | 10 | 0 | 38,240 | 31,740 | 6,500 | 25 | 20 | 0 |
30.12 Historic preservation and conservation | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0 | 10 | 0 | 0 | 0 |
46. Construction trades | 15 | 15 | 0 | 0 | 0 | 0 | 28,060 | 27,225 | 835 | 15 | 15 | 0 |
47. Mechanic and repair technologies/technicians | 20 | 20 | 0 | 0 | 0 | 0 | 22,210 | 21,530 | 675 | 15 | 15 | 0 |
48. Precision production | 10 | 10 | 0 | 0 | 0 | 0 | 11,885 | 11,515 | 375 | 15 | 15 | 0 |
Agriculture, natural resources and conservation | 0 | 0 | 0 | 0 | 0 | 0 | 15,905 | 7,900 | 8,005 | 0 | 0 | 0 |
01. Agricultural and veterinary sciences/services/operations and related fields178 | 0 | 0 | 0 | 0 | 0 | 0 | 10,210 | 5,025 | 5,180 | 0 | 0 | 0 |
03. Natural resources and conservation | 0 | 0 | 0 | 0 | 0 | 0 | 5,695 | 2,870 | 2,825 | 0 | 0 | 0 |
Health and related fields | 35 | 0 | 35 | 25 | 15 | 15 | 111,080 | 22,865 | 88,215 | 100 | 25 | 75 |
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 | 10 | 0 | 9,155 | 4,305 | 4,845 | 15 | 0 | 10 |
51. Health professions and related programs178 | 25 | 0 | 25 | 20 | 10 | 15 | 98,680 | 16,900 | 81,780 | 85 | 20 | 70 |
60. Health professions residency/fellowship programs | 0 | 0 | 0 | 0 | 0 | 0 | 180 | 75 | 110 | 0 | 0 | 0 |
61. Medical residency/fellowship programs | 0 | 0 | 0 | 0 | 0 | 0 | 3,060 | 1,580 | 1,485 | 0 | 0 | 0 |
Personal, protective and transportation services | 0 | 0 | 0 | 0 | 0 | 0 | 32,595 | 16,030 | 16,565 | 30 | 20 | 15 |
12. Culinary, entertainment, and personal services | 0 | 0 | 0 | 0 | 0 | 0 | 20,215 | 6,265 | 13,950 | 20 | 0 | 15 |
28. Military science, leadership and operational art | 0 | 0 | 0 | 0 | 0 | 0 | 140 | 130 | 10 | 0 | 0 | 0 |
29. Military technologies and applied sciences | 0 | 0 | 0 | 0 | 0 | 0 | 170 | 145 | 25 | 0 | 0 | 0 |
43. Security and protective services | 0 | 0 | 0 | 0 | 0 | 0 | 6,150 | 4,050 | 2,095 | 0 | 0 | 0 |
49. Transportation and materials moving | 0 | 0 | 0 | 0 | 0 | 0 | 5,925 | 5,440 | 480 | 10 | 10 | 0 |
Other179 | 0 | 0 | 0 | 0 | 0 | 0 | 220 | 115 | 110 | 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 | 235 | 110 | 125 | 90 | 45 | 50 | 886,650 | 437,700 | 448,950 | 730 | 360 | 370 |
No postsecondary certificate, diploma or degree173 | 65 | 50 | 25 | 25 | 10 | 15 | 264,340 | 139,115 | 125,220 | 125 | 65 | 60 |
Education | 0 | 0 | 0 | 0 | 0 | 0 | 33,450 | 6,965 | 26,475 | 45 | 10 | 40 |
13. Education | 0 | 0 | 0 | 0 | 0 | 0 | 33,450 | 6,965 | 26,475 | 45 | 10 | 40 |
Visual and performing arts, and communications technologies | 0 | 0 | 0 | 0 | 0 | 0 | 18,955 | 7,590 | 11,360 | 20 | 0 | 15 |
10. Communications technologies/technicians and support services | 0 | 0 | 0 | 0 | 0 | 0 | 1,900 | 1,360 | 540 | 0 | 0 | 0 |
50. Visual and performing arts | 0 | 0 | 0 | 0 | 0 | 0 | 17,045 | 6,230 | 10,815 | 20 | 0 | 15 |
Humanities | 0 | 0 | 0 | 0 | 0 | 0 | 26,945 | 9,460 | 17,490 | 50 | 25 | 25 |
16. Indigenous and foreign languages, literatures, and linguistics | 0 | 0 | 0 | 0 | 0 | 0 | 3,000 | 580 | 2,425 | 0 | 0 | 0 |
23. English language and literature/letters | 0 | 0 | 0 | 0 | 0 | 0 | 6,035 | 1,555 | 4,480 | 0 | 0 | 0 |
24. Liberal arts and sciences, general studies and humanities | 0 | 0 | 0 | 0 | 0 | 0 | 9,440 | 3,220 | 6,225 | 10 | 0 | 10 |
30A Interdisciplinary humanities174 | 0 | 0 | 0 | 0 | 0 | 0 | 390 | 130 | 260 | 0 | 0 | 0 |
38. Philosophy and religious studies | 0 | 0 | 0 | 0 | 0 | 0 | 1,865 | 985 | 875 | 0 | 0 | 0 |
39. Theology and religious vocations | 0 | 0 | 0 | 0 | 0 | 0 | 2,680 | 1,520 | 1,160 | 10 | 10 | 0 |
54. History | 0 | 0 | 0 | 0 | 0 | 0 | 2,930 | 1,365 | 1,565 | 15 | 0 | 15 |
55. French language and literature/lettersCAN | 0 | 0 | 0 | 0 | 0 | 0 | 595 | 105 | 490 | 0 | 0 | 0 |
Social and behavioural sciences and law | 25 | 0 | 25 | 0 | 0 | 0 | 69,810 | 23,220 | 46,590 | 55 | 15 | 40 |
05. Area, ethnic, cultural, gender, and group studies | 0 | 0 | 0 | 0 | 0 | 0 | 975 | 200 | 775 | 0 | 0 | 0 |
09. Communication, journalism and related programs | 0 | 0 | 0 | 0 | 0 | 0 | 10,005 | 3,400 | 6,605 | 0 | 0 | 0 |
19. Family and consumer sciences/human sciences | 0 | 0 | 0 | 0 | 0 | 0 | 7,720 | 535 | 7,185 | 10 | 0 | 10 |
22. Legal professions and studies | 15 | 0 | 15 | 0 | 0 | 0 | 12,925 | 4,080 | 8,840 | 0 | 0 | 0 |
30B Interdisciplinary social and behavioural sciences175 | 0 | 0 | 0 | 0 | 0 | 0 | 1,335 | 455 | 885 | 0 | 0 | 0 |
42. Psychology | 0 | 0 | 0 | 0 | 0 | 0 | 11,190 | 2,390 | 8,800 | 25 | 10 | 20 |
45. Social sciences | 0 | 0 | 0 | 0 | 0 | 0 | 25,655 | 12,155 | 13,505 | 15 | 10 | 10 |
Business, management and public administration | 25 | 0 | 25 | 15 | 10 | 0 | 145,930 | 61,450 | 84,480 | 155 | 60 | 95 |
30.16 Accounting and computer science | 0 | 0 | 0 | 0 | 0 | 0 | 130 | 45 | 85 | 0 | 0 | 0 |
44. Public administration and social service professions | 0 | 0 | 0 | 0 | 0 | 0 | 6,965 | 1,215 | 5,750 | 0 | 0 | 0 |
52. Business, management, marketing and related support services | 20 | 0 | 15 | 15 | 10 | 0 | 138,835 | 60,195 | 78,640 | 155 | 60 | 95 |
Physical and life sciences and technologies | 25 | 15 | 10 | 0 | 0 | 0 | 30,605 | 14,930 | 15,680 | 40 | 15 | 25 |
26. Biological and biomedical sciences | 10 | 0 | 10 | 0 | 0 | 0 | 10,695 | 3,995 | 6,695 | 10 | 0 | 0 |
30.01 Biological and physical sciences | 0 | 0 | 0 | 0 | 0 | 0 | 6,400 | 2,855 | 3,545 | 15 | 0 | 10 |
30C Other interdisciplinary physical and life sciences176 | 0 | 0 | 0 | 0 | 0 | 0 | 555 | 215 | 340 | 0 | 0 | 0 |
40. Physical sciences | 0 | 0 | 0 | 0 | 0 | 0 | 11,875 | 7,435 | 4,435 | 15 | 10 | 10 |
41. Science technologies/technicians | 0 | 0 | 0 | 0 | 0 | 0 | 1,085 | 425 | 660 | 0 | 0 | 0 |
Mathematics, computer and information sciences | 15 | 10 | 10 | 0 | 0 | 0 | 31,330 | 20,720 | 10,615 | 35 | 30 | 0 |
11. Computer and information sciences and support services | 15 | 10 | 10 | 0 | 0 | 0 | 26,680 | 18,555 | 8,125 | 30 | 25 | 0 |
25. Library science | 0 | 0 | 0 | 0 | 0 | 0 | 1,040 | 135 | 900 | 0 | 0 | 0 |
27. Mathematics and statistics | 0 | 0 | 0 | 0 | 0 | 0 | 3,015 | 1,650 | 1,365 | 0 | 0 | 0 |
30D Interdisciplinary mathematics, computer and information sciences177 | 0 | 0 | 0 | 0 | 0 | 0 | 600 | 380 | 225 | 0 | 0 | 0 |
Architecture, engineering, and related trades | 40 | 35 | 0 | 15 | 10 | 0 | 138,260 | 116,630 | 21,630 | 105 | 95 | 0 |
04. Architecture and related services | 0 | 0 | 0 | 0 | 0 | 0 | 5,185 | 3,050 | 2,130 | 0 | 0 | 0 |
14. Engineering | 15 | 10 | 0 | 0 | 0 | 0 | 55,310 | 43,055 | 12,260 | 50 | 50 | 0 |
15. Engineering/engineering-related technologies/technicians | 0 | 0 | 0 | 0 | 0 | 0 | 30,335 | 24,710 | 5,630 | 25 | 20 | 0 |
30.12 Historic preservation and conservation | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 10 | 0 | 0 | 0 |
46. Construction trades | 10 | 0 | 0 | 0 | 0 | 0 | 21,755 | 21,035 | 720 | 15 | 15 | 0 |
47. Mechanic and repair technologies/technicians | 10 | 10 | 0 | 0 | 0 | 0 | 16,875 | 16,295 | 580 | 15 | 15 | 0 |
48. Precision production | 10 | 10 | 0 | 0 | 0 | 0 | 8,785 | 8,485 | 305 | 0 | 0 | 0 |
Agriculture, natural resources and conservation | 0 | 0 | 0 | 0 | 0 | 0 | 12,720 | 5,985 | 6,735 | 0 | 0 | 0 |
01. Agricultural and veterinary sciences/services/operations and related fields178 | 0 | 0 | 0 | 0 | 0 | 0 | 7,810 | 3,590 | 4,220 | 0 | 0 | 0 |
03. Natural resources and conservation | 0 | 0 | 0 | 0 | 0 | 0 | 4,910 | 2,395 | 2,515 | 0 | 0 | 0 |
Health and related fields | 20 | 0 | 20 | 20 | 10 | 10 | 88,715 | 18,735 | 69,980 | 85 | 20 | 60 |
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 | 0 | 0 | 0 | 7,355 | 3,465 | 3,885 | 10 | 0 | 10 |
51. Health professions and related programs178 | 20 | 0 | 20 | 20 | 10 | 10 | 78,745 | 14,010 | 64,730 | 70 | 15 | 50 |
60. Health professions residency/fellowship programs | 0 | 0 | 0 | 0 | 0 | 0 | 145 | 60 | 80 | 0 | 0 | 0 |
61. Medical residency/fellowship programs | 0 | 0 | 0 | 0 | 0 | 0 | 2,480 | 1,195 | 1,280 | 0 | 0 | 0 |
Personal, protective and transportation services | 0 | 0 | 0 | 0 | 0 | 0 | 25,425 | 12,820 | 12,610 | 25 | 20 | 0 |
12. Culinary, entertainment, and personal services | 0 | 0 | 0 | 0 | 0 | 0 | 15,385 | 4,880 | 10,500 | 10 | 0 | 0 |
28. Military science, leadership and operational art | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 90 | 10 | 0 | 0 | 0 |
29. Military technologies and applied sciences | 0 | 0 | 0 | 0 | 0 | 0 | 85 | 80 | 0 | 0 | 0 | 0 |
43. Security and protective services | 0 | 0 | 0 | 0 | 0 | 0 | 5,140 | 3,420 | 1,725 | 0 | 0 | 0 |
49. Transportation and materials moving | 0 | 0 | 0 | 0 | 0 | 0 | 4,710 | 4,340 | 370 | 10 | 10 | 0 |
Other179 | 0 | 0 | 0 | 0 | 0 | 0 | 170 | 75 | 95 | 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 | 235 | 110 | 125 | 90 | 45 | 50 | 886,650 | 437,700 | 448,950 | 730 | 360 | 370 |
No postsecondary certificate, diploma or degree | 65 | 50 | 25 | 25 | 10 | 15 | 264,340 | 139,115 | 125,220 | 125 | 65 | 60 |
Postsecondary certificate, diploma or degree181 | 170 | 65 | 100 | 70 | 40 | 30 | 622,310 | 298,585 | 323,730 | 605 | 300 | 310 |
Location of study inside Canada | 130 | 45 | 90 | 60 | 40 | 20 | 455,590 | 220,680 | 234,910 | 445 | 230 | 215 |
Same as province or territory of residence | 95 | 40 | 55 | 55 | 35 | 20 | 328,175 | 157,540 | 170,630 | 330 | 155 | 175 |
Different than province or territory of residence | 40 | 0 | 35 | 0 | 0 | 0 | 127,410 | 63,135 | 64,275 | 115 | 75 | 40 |
Location of study outside Canada182 | 30 | 20 | 15 | 10 | 0 | 10 | 166,725 | 77,905 | 88,820 | 165 | 70 | 95 |
Americas | 0 | 0 | 0 | 0 | 0 | 0 | 28,670 | 14,305 | 14,360 | 30 | 15 | 15 |
United States of America | 0 | 0 | 0 | 0 | 0 | 0 | 17,465 | 9,425 | 8,040 | 15 | 10 | 10 |
Mexico | 0 | 0 | 0 | 0 | 0 | 0 | 2,410 | 1,065 | 1,345 | 0 | 0 | 0 |
Cuba | 0 | 0 | 0 | 0 | 0 | 0 | 250 | 145 | 110 | 0 | 0 | 0 |
Haiti | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 45 | 30 | 0 | 0 | 0 |
Jamaica | 0 | 0 | 0 | 0 | 0 | 0 | 470 | 215 | 255 | 0 | 0 | 0 |
Brazil | 0 | 0 | 0 | 0 | 0 | 0 | 1,670 | 690 | 980 | 0 | 0 | 0 |
Colombia | 0 | 0 | 0 | 0 | 0 | 0 | 2,125 | 915 | 1,210 | 0 | 0 | 0 |
Peru | 0 | 0 | 0 | 0 | 0 | 0 | 400 | 155 | 250 | 0 | 0 | 0 |
Venezuela95 | 0 | 0 | 0 | 0 | 0 | 0 | 1,850 | 780 | 1,070 | 0 | 0 | 0 |
Other locations of study in Americas | 0 | 0 | 0 | 0 | 0 | 0 | 1,945 | 870 | 1,075 | 0 | 0 | 0 |
Europe | 15 | 10 | 0 | 0 | 0 | 0 | 29,575 | 15,435 | 14,145 | 30 | 15 | 15 |
Belgium | 0 | 0 | 0 | 0 | 0 | 0 | 220 | 130 | 90 | 0 | 0 | 0 |
France | 0 | 0 | 0 | 0 | 0 | 0 | 1,225 | 630 | 595 | 0 | 0 | 0 |
Germany | 0 | 0 | 0 | 0 | 0 | 0 | 1,235 | 645 | 590 | 0 | 0 | 0 |
Netherlands | 0 | 0 | 0 | 0 | 0 | 0 | 795 | 430 | 370 | 0 | 0 | 0 |
Switzerland | 0 | 0 | 0 | 0 | 0 | 0 | 415 | 220 | 190 | 0 | 0 | 0 |
Hungary | 0 | 0 | 0 | 0 | 0 | 0 | 380 | 180 | 205 | 0 | 0 | 0 |
Moldova183 | 0 | 0 | 0 | 0 | 0 | 0 | 630 | 295 | 335 | 0 | 0 | 0 |
Poland | 0 | 0 | 0 | 0 | 0 | 0 | 1,485 | 575 | 905 | 0 | 0 | 0 |
Romania | 0 | 0 | 0 | 0 | 0 | 0 | 1,870 | 1,020 | 855 | 0 | 0 | 0 |
Russian Federation | 0 | 0 | 0 | 0 | 0 | 0 | 2,235 | 955 | 1,280 | 0 | 0 | 0 |
Ukraine | 0 | 0 | 0 | 0 | 0 | 0 | 1,605 | 745 | 865 | 0 | 0 | 0 |
Ireland96 | 0 | 0 | 0 | 0 | 0 | 0 | 930 | 570 | 355 | 0 | 0 | 0 |
United Kingdom87 | 10 | 10 | 0 | 0 | 0 | 0 | 11,725 | 6,495 | 5,220 | 20 | 10 | 10 |
Bosnia and Herzegovina | 0 | 0 | 0 | 0 | 0 | 0 | 345 | 185 | 155 | 0 | 0 | 0 |
Italy | 0 | 0 | 0 | 0 | 0 | 0 | 350 | 210 | 140 | 0 | 0 | 0 |
Serbia86 | 0 | 0 | 0 | 0 | 0 | 0 | 375 | 180 | 190 | 0 | 0 | 0 |
Other locations of study in Europe | 0 | 0 | 0 | 0 | 0 | 0 | 3,760 | 1,955 | 1,805 | 0 | 0 | 0 |
Africa | 0 | 0 | 0 | 0 | 0 | 0 | 13,270 | 6,695 | 6,570 | 20 | 0 | 0 |
Nigeria | 0 | 0 | 0 | 0 | 0 | 0 | 4,965 | 2,375 | 2,590 | 0 | 0 | 0 |
Algeria | 0 | 0 | 0 | 0 | 0 | 0 | 340 | 170 | 170 | 0 | 0 | 0 |
Morocco | 0 | 0 | 0 | 0 | 0 | 0 | 420 | 220 | 200 | 0 | 0 | 0 |
Tunisia | 0 | 0 | 0 | 0 | 0 | 0 | 185 | 115 | 75 | 0 | 0 | 0 |
Egypt | 0 | 0 | 0 | 0 | 0 | 0 | 1,670 | 860 | 810 | 10 | 0 | 0 |
South Africa, Republic of | 0 | 0 | 0 | 0 | 0 | 0 | 1,690 | 855 | 840 | 0 | 0 | 0 |
Other locations of study in Africa | 0 | 0 | 0 | 0 | 0 | 0 | 3,985 | 2,105 | 1,880 | 0 | 0 | 0 |
Asia | 15 | 10 | 10 | 0 | 0 | 0 | 91,990 | 39,695 | 52,295 | 90 | 30 | 60 |
Iran88 | 0 | 0 | 0 | 0 | 0 | 0 | 2,155 | 1,010 | 1,145 | 0 | 0 | 0 |
Iraq | 0 | 0 | 0 | 0 | 0 | 0 | 920 | 450 | 465 | 0 | 0 | 0 |
Israel | 0 | 0 | 0 | 0 | 0 | 0 | 425 | 230 | 195 | 0 | 0 | 0 |
Lebanon | 0 | 0 | 0 | 0 | 0 | 0 | 640 | 300 | 335 | 0 | 0 | 0 |
Syria89 | 0 | 0 | 0 | 0 | 0 | 0 | 735 | 380 | 355 | 0 | 0 | 0 |
Turkey | 0 | 0 | 0 | 0 | 0 | 0 | 390 | 235 | 160 | 0 | 0 | 0 |
China90 | 0 | 0 | 0 | 0 | 0 | 0 | 11,260 | 5,010 | 6,250 | 35 | 10 | 20 |
Taiwan | 0 | 0 | 0 | 0 | 0 | 0 | 585 | 145 | 440 | 0 | 0 | 0 |
Hong Kong91 | 0 | 0 | 0 | 0 | 0 | 0 | 805 | 315 | 495 | 0 | 0 | 0 |
Japan | 0 | 0 | 0 | 0 | 0 | 0 | 1,045 | 275 | 770 | 0 | 0 | 0 |
Korea, South92 | 0 | 0 | 0 | 0 | 0 | 0 | 3,925 | 1,615 | 2,305 | 20 | 10 | 10 |
Philippines | 15 | 0 | 10 | 0 | 0 | 0 | 30,585 | 12,115 | 18,470 | 0 | 0 | 0 |
Viet Nam | 0 | 0 | 0 | 0 | 0 | 0 | 855 | 335 | 520 | 0 | 0 | 0 |
Bangladesh | 0 | 0 | 0 | 0 | 0 | 0 | 1,405 | 540 | 870 | 0 | 0 | 0 |
Sri Lanka | 0 | 0 | 0 | 0 | 0 | 0 | 485 | 250 | 235 | 0 | 0 | 0 |
India | 0 | 0 | 0 | 0 | 0 | 0 | 25,005 | 11,780 | 13,225 | 20 | 0 | 15 |
Pakistan | 0 | 0 | 0 | 0 | 0 | 0 | 6,330 | 2,815 | 3,520 | 10 | 0 | 10 |
Other locations of study in Asia | 0 | 0 | 0 | 0 | 0 | 0 | 4,435 | 1,895 | 2,540 | 0 | 0 | 0 |
Oceania | 0 | 0 | 0 | 0 | 0 | 0 | 3,225 | 1,775 | 1,450 | 0 | 0 | 0 |
Australia | 0 | 0 | 0 | 0 | 0 | 0 | 2,545 | 1,385 | 1,160 | 0 | 0 | 0 |
New Zealand | 0 | 0 | 0 | 0 | 0 | 0 | 555 | 315 | 240 | 0 | 0 | 0 |
Other locations of study in Oceania | 0 | 0 | 0 | 0 | 0 | 0 | 125 | 70 | 55 | 0 | 0 | 0 |
Labour force status | ||||||||||||
Total - Population aged 15 years and over by labour force status - 25% sample data184 | 400 | 205 | 195 | 195 | 95 | 95 | 1,278,375 | 631,155 | 647,220 | 1,130 | 565 | 565 |
In the labour force | 250 | 135 | 120 | 115 | 65 | 55 | 882,705 | 463,170 | 419,540 | 710 | 370 | 335 |
Employed | 215 | 110 | 105 | 105 | 55 | 45 | 776,015 | 408,675 | 367,335 | 670 | 350 | 320 |
Unemployed | 35 | 25 | 15 | 10 | 10 | 0 | 106,695 | 54,490 | 52,205 | 35 | 20 | 10 |
Not in the labour force | 150 | 70 | 80 | 80 | 35 | 45 | 395,665 | 167,985 | 227,680 | 430 | 195 | 235 |
Participation rate | 62.5 | 65.9 | 61.5 | 59.0 | 68.4 | 57.9 | 69.0 | 73.4 | 64.8 | 62.8 | 65.5 | 59.3 |
Employment rate | 53.8 | 53.7 | 53.8 | 53.8 | 57.9 | 47.4 | 60.7 | 64.8 | 56.8 | 59.3 | 61.9 | 56.6 |
Unemployment rate | 14.0 | 18.5 | 12.5 | 8.7 | 15.4 | 0.0 | 12.1 | 11.8 | 12.4 | 4.9 | 5.4 | 3.0 |
Work activity during the reference year | ||||||||||||
Total - Population aged 15 years and over by work activity during the reference year - 25% sample data185 | 400 | 205 | 195 | 195 | 95 | 100 | 1,278,375 | 631,155 | 647,220 | 1,130 | 570 | 565 |
Did not work186 | 150 | 70 | 80 | 75 | 30 | 45 | 422,665 | 183,645 | 239,020 | 425 | 185 | 240 |
Worked | 255 | 135 | 115 | 125 | 70 | 55 | 855,710 | 447,510 | 408,200 | 710 | 380 | 330 |
Worked full year full time187 | 140 | 75 | 60 | 50 | 20 | 25 | 450,195 | 257,535 | 192,655 | 395 | 245 | 155 |
Worked part year and/or part time188 | 115 | 60 | 55 | 70 | 45 | 25 | 405,520 | 189,970 | 215,550 | 315 | 140 | 175 |
Average weeks worked in reference year | 40.0 | 40.0 | 39.6 | 40.4 | 36.5 | 45.0 | 40.7 | 41.5 | 39.8 | 42.1 | 43.6 | 40.4 |
Class of worker including job permanency | ||||||||||||
Total - Labour force aged 15 years and over by class of worker including job permanency - 25% sample data189 | 255 | 135 | 120 | 115 | 65 | 50 | 882,710 | 463,165 | 419,540 | 705 | 375 | 330 |
Class of worker - not applicable190 | 0 | 0 | 0 | 0 | 0 | 0 | 29,010 | 14,020 | 14,995 | 10 | 0 | 0 |
All classes of workers191 | 250 | 135 | 115 | 115 | 65 | 50 | 853,695 | 449,150 | 404,550 | 700 | 365 | 330 |
Employee | 215 | 105 | 105 | 85 | 45 | 45 | 715,140 | 365,090 | 350,050 | 585 | 310 | 275 |
Permanent position | 165 | 80 | 90 | 70 | 35 | 35 | 600,125 | 311,480 | 288,645 | 500 | 270 | 225 |
Temporary position | 50 | 25 | 20 | 15 | 0 | 10 | 115,020 | 53,615 | 61,405 | 85 | 40 | 45 |
Fixed term (1 year or more) | 0 | 0 | 0 | 0 | 0 | 0 | 37,760 | 16,790 | 20,970 | 25 | 20 | 10 |
Casual, seasonal or short-term position (less than 1 year) | 40 | 20 | 20 | 15 | 0 | 10 | 77,260 | 36,820 | 40,435 | 55 | 20 | 40 |
Self-employed192 | 35 | 30 | 10 | 30 | 20 | 0 | 138,550 | 84,060 | 54,500 | 115 | 55 | 55 |
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 | 255 | 135 | 120 | 115 | 65 | 50 | 882,710 | 463,165 | 419,540 | 705 | 375 | 330 |
Occupation - not applicable190 | 0 | 0 | 0 | 0 | 0 | 0 | 29,010 | 14,020 | 14,995 | 10 | 0 | 0 |
All occupations191 | 250 | 135 | 115 | 115 | 65 | 50 | 853,695 | 449,150 | 404,550 | 700 | 365 | 330 |
0 Legislative and senior management occupations | 0 | 0 | 0 | 0 | 0 | 0 | 11,440 | 8,585 | 2,850 | 15 | 15 | 0 |
1 Business, finance and administration occupations | 50 | 10 | 35 | 35 | 15 | 20 | 161,170 | 53,245 | 107,930 | 140 | 50 | 90 |
2 Natural and applied sciences and related occupations | 35 | 25 | 10 | 0 | 0 | 0 | 94,565 | 72,340 | 22,225 | 65 | 50 | 15 |
3 Health occupations | 25 | 0 | 25 | 0 | 0 | 0 | 69,305 | 13,810 | 55,490 | 55 | 15 | 45 |
4 Occupations in education, law and social, community and government services | 20 | 10 | 10 | 30 | 15 | 15 | 92,850 | 30,655 | 62,195 | 100 | 35 | 65 |
5 Occupations in art, culture, recreation and sport | 0 | 0 | 0 | 10 | 10 | 0 | 24,120 | 10,450 | 13,675 | 25 | 15 | 10 |
6 Sales and service occupations | 45 | 25 | 25 | 15 | 0 | 10 | 209,115 | 94,840 | 114,280 | 180 | 90 | 85 |
7 Trades, transport and equipment operators and related occupations | 55 | 50 | 10 | 0 | 0 | 0 | 147,375 | 132,085 | 15,290 | 75 | 60 | 10 |
8 Natural resources, agriculture and related production occupations | 10 | 0 | 0 | 0 | 0 | 0 | 18,195 | 14,065 | 4,130 | 15 | 15 | 0 |
9 Occupations in manufacturing and utilities | 0 | 0 | 0 | 0 | 0 | 0 | 25,565 | 19,070 | 6,490 | 30 | 20 | 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 | 255 | 135 | 120 | 115 | 65 | 50 | 882,710 | 463,165 | 419,540 | 705 | 375 | 330 |
Industry - not applicable190 | 0 | 0 | 0 | 0 | 0 | 0 | 29,010 | 14,020 | 14,995 | 10 | 0 | 0 |
All industries191 | 250 | 135 | 115 | 115 | 65 | 50 | 853,695 | 449,150 | 404,550 | 700 | 365 | 330 |
11 Agriculture, forestry, fishing and hunting | 0 | 0 | 0 | 0 | 0 | 0 | 8,270 | 5,105 | 3,165 | 0 | 0 | 0 |
21 Mining, quarrying, and oil and gas extraction | 15 | 10 | 0 | 0 | 0 | 0 | 39,750 | 26,465 | 13,290 | 30 | 10 | 20 |
22 Utilities | 0 | 0 | 0 | 0 | 0 | 0 | 10,285 | 6,785 | 3,500 | 25 | 15 | 10 |
23 Construction | 30 | 25 | 0 | 10 | 10 | 0 | 75,665 | 63,720 | 11,945 | 60 | 50 | 15 |
31-33 Manufacturing | 0 | 0 | 0 | 10 | 10 | 0 | 41,545 | 30,255 | 11,295 | 0 | 0 | 0 |
41 Wholesale trade | 0 | 0 | 0 | 0 | 0 | 0 | 27,195 | 18,765 | 8,430 | 30 | 25 | 0 |
44-45 Retail trade | 35 | 20 | 10 | 0 | 0 | 0 | 96,885 | 46,555 | 50,330 | 100 | 40 | 60 |
48-49 Transportation and warehousing | 25 | 15 | 15 | 10 | 0 | 0 | 56,135 | 40,670 | 15,470 | 40 | 25 | 10 |
51 Information and cultural industries | 0 | 0 | 0 | 0 | 0 | 0 | 14,840 | 8,750 | 6,090 | 20 | 15 | 0 |
52 Finance and insurance | 0 | 0 | 0 | 10 | 10 | 0 | 30,760 | 13,930 | 16,825 | 10 | 10 | 0 |
53 Real estate and rental and leasing | 0 | 0 | 0 | 0 | 0 | 0 | 16,935 | 9,445 | 7,485 | 10 | 0 | 10 |
54 Professional, scientific and technical services | 25 | 10 | 15 | 30 | 15 | 15 | 96,185 | 55,190 | 40,995 | 90 | 55 | 35 |
55 Management of companies and enterprises | 0 | 0 | 0 | 0 | 0 | 0 | 2,660 | 1,210 | 1,450 | 0 | 0 | 0 |
56 Administrative and support, waste management and remediation services | 10 | 10 | 0 | 0 | 0 | 0 | 37,790 | 21,285 | 16,510 | 25 | 15 | 0 |
61 Educational services | 10 | 0 | 0 | 20 | 10 | 10 | 55,510 | 16,805 | 38,700 | 65 | 30 | 35 |
62 Health care and social assistance | 35 | 0 | 35 | 15 | 0 | 15 | 107,190 | 20,475 | 86,720 | 95 | 25 | 70 |
71 Arts, entertainment and recreation | 0 | 0 | 0 | 0 | 0 | 0 | 17,830 | 8,980 | 8,850 | 20 | 10 | 15 |
72 Accommodation and food services | 10 | 0 | 0 | 0 | 0 | 0 | 49,900 | 22,440 | 27,460 | 20 | 10 | 15 |
81 Other services (except public administration) | 15 | 15 | 0 | 0 | 0 | 0 | 37,065 | 16,090 | 20,975 | 15 | 0 | 15 |
91 Public administration | 15 | 0 | 15 | 0 | 0 | 0 | 31,305 | 16,235 | 15,075 | 50 | 30 | 15 |
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 | 260 | 140 | 120 | 125 | 70 | 55 | 926,320 | 483,455 | 442,860 | 765 | 405 | 360 |
English | 250 | 135 | 115 | 115 | 60 | 55 | 878,705 | 460,305 | 418,400 | 705 | 370 | 330 |
French | 0 | 0 | 0 | 0 | 0 | 0 | 1,250 | 340 | 915 | 0 | 0 | 0 |
Non-official language | 0 | 0 | 0 | 0 | 0 | 0 | 6,970 | 3,525 | 3,440 | 0 | 0 | 0 |
Indigenous39 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 10 | 0 | 0 | 0 |
Non-Indigenous | 0 | 0 | 0 | 0 | 0 | 0 | 6,955 | 3,525 | 3,430 | 0 | 0 | 0 |
English and French | 0 | 0 | 0 | 0 | 0 | 0 | 7,700 | 3,085 | 4,615 | 0 | 0 | 0 |
English and non-official language(s) | 0 | 0 | 0 | 10 | 10 | 0 | 30,355 | 15,535 | 14,825 | 50 | 25 | 25 |
French and non-official language(s) | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0 | 15 | 0 | 0 | 0 |
English, French and non-official language(s) | 0 | 0 | 0 | 0 | 0 | 0 | 740 | 340 | 405 | 0 | 0 | 0 |
Multiple non-official languages | 0 | 0 | 0 | 0 | 0 | 0 | 575 | 325 | 250 | 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 | 260 | 140 | 120 | 125 | 70 | 55 | 926,320 | 483,455 | 442,860 | 765 | 405 | 360 |
Single responses | 260 | 140 | 120 | 115 | 65 | 55 | 919,325 | 479,835 | 439,490 | 760 | 405 | 360 |
Official languages | 260 | 140 | 120 | 115 | 65 | 55 | 906,220 | 473,040 | 433,180 | 750 | 400 | 355 |
English | 260 | 140 | 120 | 115 | 65 | 55 | 903,745 | 472,395 | 431,350 | 750 | 400 | 355 |
French | 0 | 0 | 0 | 0 | 0 | 0 | 2,475 | 650 | 1,835 | 0 | 0 | 0 |
Non-official languages | 0 | 0 | 0 | 0 | 0 | 0 | 13,105 | 6,795 | 6,310 | 15 | 0 | 10 |
Indigenous languages39 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 10 | 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 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 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 | 10 | 0 | 10 | 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 | 10 | 0 | 10 | 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 | 13,090 | 6,795 | 6,300 | 15 | 0 | 10 |
Afro-Asiatic languages | 0 | 0 | 0 | 0 | 0 | 0 | 470 | 250 | 215 | 0 | 0 | 0 |
Berber languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Kabyle | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 15 | 15 | 0 | 0 | 0 | 0 |
Bilen | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Oromo | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 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 | 450 | 235 | 215 | 0 | 0 | 0 |
Amharic | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 25 | 10 | 0 | 0 | 0 |
Arabic | 0 | 0 | 0 | 0 | 0 | 0 | 335 | 170 | 165 | 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 | 0 | 0 | 0 | 0 | 0 | 0 |
Tigrigna | 0 | 0 | 0 | 0 | 0 | 0 | 70 | 35 | 35 | 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 | 840 | 330 | 510 | 0 | 0 | 0 |
Khmer (Cambodian) | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 0 | 0 |
Vietnamese | 0 | 0 | 0 | 0 | 0 | 0 | 820 | 320 | 505 | 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 | 555 | 290 | 265 | 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 | 55 | 30 | 25 | 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 | 495 | 260 | 240 | 0 | 0 | 0 |
Austronesian languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Creole languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Haitian Creole | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 30 | 0 | 25 | 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 | 0 | 0 | 0 | 0 |
Tamil | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 15 | 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 | 5,395 | 2,930 | 2,465 | 0 | 0 | 0 |
Albanian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Armenian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Balto-Slavic languages | 0 | 0 | 0 | 0 | 0 | 0 | 455 | 185 | 270 | 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 | 455 | 185 | 270 | 0 | 0 | 0 |
Bulgarian | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 10 | 0 | 0 | 0 |
Czech | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 0 | 0 | 0 |
Macedonian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Polish | 0 | 0 | 0 | 0 | 0 | 0 | 145 | 55 | 90 | 0 | 0 | 0 |
Russian | 0 | 0 | 0 | 0 | 0 | 0 | 180 | 80 | 105 | 0 | 0 | 0 |
Serbo-Croatian | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 30 | 35 | 0 | 0 | 0 |
Bosnian | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 10 | 20 | 0 | 0 | 0 |
Croatian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Serbian | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 20 | 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 | 10 | 0 | 10 | 0 | 0 | 0 |
Slovene (Slovenian) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Ukrainian | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 15 | 25 | 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 | 125 | 70 | 55 | 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 | 100 | 60 | 45 | 0 | 0 | 0 |
German | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 60 | 45 | 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 | 0 | 0 | 0 | 0 | 0 | 0 |
Low Saxon-Low Franconian languages | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 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 | 10 | 0 | 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 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 |
Swedish | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 10 | 0 | 10 | 0 | 0 | 0 |
Indo-Iranian languages | 0 | 0 | 0 | 0 | 0 | 0 | 3,355 | 2,015 | 1,345 | 0 | 0 | 0 |
Indo-Aryan languages | 0 | 0 | 0 | 0 | 0 | 0 | 3,220 | 1,960 | 1,260 | 0 | 0 | 0 |
Bengali | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Gujarati | 0 | 0 | 0 | 0 | 0 | 0 | 75 | 35 | 35 | 0 | 0 | 0 |
Hindi | 0 | 0 | 0 | 0 | 0 | 0 | 130 | 80 | 50 | 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 | 30 | 10 | 20 | 0 | 0 | 0 |
Punjabi (Panjabi) | 0 | 0 | 0 | 0 | 0 | 0 | 2,745 | 1,740 | 1,005 | 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 | 225 | 95 | 135 | 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 | 135 | 50 | 80 | 0 | 0 | 0 |
Kurdish | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Pashto | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 10 | 0 | 0 | 0 |
Persian languages | 0 | 0 | 0 | 0 | 0 | 0 | 125 | 50 | 70 | 0 | 0 | 0 |
Dari | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 10 | 20 | 0 | 0 | 0 |
Iranian Persian | 0 | 0 | 0 | 0 | 0 | 0 | 90 | 35 | 50 | 0 | 0 | 0 |
Persian (Farsi), n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 1,425 | 650 | 780 | 0 | 0 | 0 |
Catalan | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Italian | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 15 | 10 | 0 | 0 | 0 |
Portuguese | 0 | 0 | 0 | 0 | 0 | 0 | 85 | 55 | 30 | 0 | 0 | 0 |
Romanian | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 40 | 30 | 0 | 0 | 0 |
Spanish | 0 | 0 | 0 | 0 | 0 | 0 | 1,255 | 540 | 715 | 0 | 0 | 0 |
Italic (Romance) languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Indo-European languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 0 | 0 |
Japanese | 0 | 0 | 0 | 0 | 0 | 0 | 105 | 25 | 75 | 0 | 0 | 0 |
Korean | 0 | 0 | 0 | 0 | 0 | 0 | 810 | 445 | 365 | 0 | 0 | 0 |
Mongolian | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 10 | 0 | 0 | 0 |
Niger-Congo languages | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0 | 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 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 |
Wolof | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Yoruba | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 10 | 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 | 40 | 20 | 15 | 0 | 0 | 0 |
American Sign Language | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 10 | 15 | 0 | 0 | 0 |
Quebec Sign Language | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Sign languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 15 | 0 | 0 | 0 | 0 |
Sino-Tibetan languages | 0 | 0 | 0 | 0 | 0 | 0 | 4,665 | 2,410 | 2,255 | 0 | 0 | 0 |
Chinese languages | 0 | 0 | 0 | 0 | 0 | 0 | 4,645 | 2,395 | 2,245 | 0 | 0 | 0 |
Hakka | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Mandarin | 0 | 0 | 0 | 0 | 0 | 0 | 1,960 | 995 | 965 | 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 | 0 | 0 | 0 | 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 | 2,650 | 1,375 | 1,270 | 0 | 0 | 0 |
Chinese, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 25 | 15 | 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 | 25 | 15 | 10 | 0 | 0 | 0 |
Burmese | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 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 | 55 | 15 | 40 | 0 | 0 | 0 |
Lao | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 0 | 0 | 0 | 0 |
Thai | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 0 | 40 | 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 | 55 | 30 | 25 | 0 | 0 | 0 |
Azerbaijani | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Turkish | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 30 | 25 | 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 | 35 | 20 | 10 | 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 | 35 | 20 | 10 | 0 | 0 | 0 |
Other languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Multiple responses | 0 | 0 | 0 | 0 | 0 | 0 | 7,000 | 3,625 | 3,375 | 0 | 0 | 0 |
English and French | 0 | 0 | 0 | 0 | 0 | 0 | 1,000 | 445 | 555 | 0 | 0 | 0 |
English and non-official language(s) | 0 | 0 | 0 | 0 | 0 | 0 | 5,765 | 3,065 | 2,695 | 0 | 0 | 0 |
French and non-official language(s) | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 15 | 15 | 0 | 0 | 0 |
English, French and non-official language(s) | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 30 | 50 | 0 | 0 | 0 |
Multiple non-official languages | 0 | 0 | 0 | 0 | 0 | 0 | 130 | 65 | 60 | 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 | 260 | 140 | 120 | 125 | 70 | 55 | 926,320 | 483,455 | 442,860 | 765 | 405 | 360 |
None | 250 | 135 | 115 | 115 | 60 | 55 | 893,045 | 467,350 | 425,695 | 715 | 380 | 330 |
English | 0 | 0 | 0 | 0 | 0 | 0 | 6,235 | 2,990 | 3,245 | 0 | 0 | 0 |
French | 0 | 0 | 0 | 0 | 0 | 0 | 5,615 | 2,385 | 3,230 | 0 | 0 | 0 |
Non-official language | 0 | 0 | 0 | 0 | 0 | 0 | 17,585 | 8,825 | 8,760 | 35 | 20 | 15 |
Indigenous39 | 0 | 0 | 0 | 0 | 0 | 0 | 115 | 45 | 70 | 0 | 0 | 0 |
Non-Indigenous | 0 | 0 | 0 | 0 | 0 | 0 | 17,465 | 8,780 | 8,690 | 35 | 20 | 15 |
English and French | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 0 | 0 | 0 | 0 |
English and non-official language(s) | 0 | 0 | 0 | 0 | 0 | 0 | 660 | 330 | 335 | 0 | 0 | 0 |
French and non-official language(s) | 0 | 0 | 0 | 0 | 0 | 0 | 500 | 245 | 255 | 0 | 0 | 0 |
English, French and non-official language(s) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Multiple non-official languages | 0 | 0 | 0 | 0 | 0 | 0 | 2,665 | 1,335 | 1,335 | 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 | 220 | 110 | 105 | 105 | 55 | 45 | 776,010 | 408,680 | 367,335 | 670 | 350 | 325 |
Worked at home | 55 | 30 | 25 | 70 | 35 | 30 | 215,520 | 105,290 | 110,230 | 275 | 145 | 130 |
Worked outside Canada | 0 | 0 | 0 | 0 | 0 | 0 | 2,820 | 2,095 | 725 | 0 | 0 | 0 |
No fixed workplace address | 45 | 35 | 10 | 0 | 0 | 0 | 113,260 | 83,885 | 29,375 | 95 | 70 | 25 |
Usual place of work | 120 | 50 | 70 | 30 | 15 | 20 | 444,410 | 217,405 | 227,005 | 300 | 130 | 165 |
Commuting destination | ||||||||||||
Total - Commuting destination for the employed labour force aged 15 years and over with a usual place of work - 25% sample data199 | 120 | 50 | 70 | 30 | 10 | 15 | 444,410 | 217,405 | 227,005 | 300 | 135 | 170 |
Commute within census subdivision (CSD) of residence | 100 | 45 | 55 | 25 | 10 | 15 | 361,065 | 170,000 | 191,065 | 270 | 110 | 155 |
Commute to a different census subdivision (CSD) within census division (CD) of residence | 0 | 0 | 0 | 0 | 0 | 0 | 69,230 | 37,715 | 31,505 | 20 | 10 | 10 |
Commute to a different census subdivision (CSD) and census division (CD) within province or territory of residence | 0 | 0 | 0 | 0 | 0 | 0 | 10,095 | 7,060 | 3,035 | 0 | 0 | 0 |
Commute to a different province or territory | 10 | 10 | 0 | 0 | 0 | 0 | 4,020 | 2,625 | 1,395 | 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 | 165 | 85 | 80 | 35 | 20 | 15 | 557,670 | 301,290 | 256,380 | 395 | 205 | 190 |
Car, truck or van | 145 | 75 | 75 | 35 | 20 | 15 | 473,465 | 261,055 | 212,410 | 360 | 180 | 180 |
Car, truck or van - as a driver | 140 | 75 | 65 | 35 | 20 | 15 | 441,645 | 249,990 | 191,655 | 325 | 170 | 155 |
Car, truck or van - as a passenger | 0 | 0 | 0 | 0 | 0 | 0 | 31,820 | 11,060 | 20,755 | 25 | 0 | 25 |
Public transit | 0 | 0 | 0 | 0 | 0 | 0 | 40,930 | 17,775 | 23,165 | 15 | 0 | 10 |
Walked | 0 | 0 | 0 | 0 | 0 | 0 | 22,670 | 10,345 | 12,325 | 10 | 0 | 0 |
Bicycle | 0 | 0 | 0 | 0 | 0 | 0 | 4,355 | 3,240 | 1,115 | 0 | 0 | 0 |
Other method | 10 | 10 | 0 | 0 | 0 | 0 | 16,245 | 8,875 | 7,365 | 10 | 10 | 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 | 165 | 85 | 80 | 35 | 20 | 15 | 557,670 | 301,290 | 256,380 | 395 | 205 | 190 |
Less than 15 minutes | 40 | 35 | 10 | 15 | 10 | 0 | 128,460 | 58,155 | 70,310 | 70 | 35 | 35 |
15 to 29 minutes | 60 | 30 | 30 | 10 | 0 | 10 | 242,460 | 130,855 | 111,610 | 210 | 110 | 100 |
30 to 44 minutes | 45 | 20 | 35 | 10 | 0 | 10 | 125,765 | 75,100 | 50,660 | 95 | 45 | 50 |
45 to 59 minutes | 10 | 0 | 0 | 0 | 0 | 0 | 31,050 | 18,505 | 12,545 | 20 | 10 | 10 |
60 minutes and over | 10 | 0 | 10 | 0 | 0 | 0 | 29,930 | 18,665 | 11,265 | 0 | 0 | 0 |
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 | 165 | 85 | 80 | 35 | 20 | 15 | 557,670 | 301,290 | 256,380 | 395 | 205 | 190 |
Between 5 a.m. and 5:59 a.m. | 10 | 10 | 0 | 0 | 0 | 0 | 37,665 | 27,280 | 10,390 | 15 | 10 | 10 |
Between 6 a.m. and 6:59 a.m. | 40 | 25 | 15 | 10 | 0 | 0 | 100,900 | 63,500 | 37,400 | 95 | 75 | 15 |
Between 7 a.m. and 7:59 a.m. | 35 | 20 | 15 | 10 | 0 | 0 | 143,455 | 75,755 | 67,700 | 105 | 50 | 55 |
Between 8 a.m. and 8:59 a.m. | 20 | 0 | 15 | 15 | 0 | 10 | 105,095 | 50,620 | 54,475 | 65 | 25 | 45 |
Between 9 a.m. and 11:59 a.m. | 40 | 20 | 15 | 10 | 10 | 0 | 79,595 | 35,415 | 44,180 | 60 | 30 | 30 |
Between 12 p.m. and 4:59 a.m. | 20 | 0 | 15 | 0 | 0 | 0 | 90,950 | 48,715 | 42,230 | 55 | 15 | 40 |
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 | 95 | 55 | 40 | 40 | 15 | 20 | 356,225 | 183,250 | 172,980 | 360 | 165 | 195 |
Children eligible for instruction in the minority official language | 10 | 5 | 5 | 5 | 0 | 5 | 25,335 | 12,890 | 12,445 | 20 | 10 | 5 |
Children not eligible for instruction in the minority official language | 85 | 45 | 40 | 35 | 15 | 15 | 330,890 | 170,360 | 160,535 | 340 | 150 | 185 |
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 | 75 | 40 | 30 | 30 | 15 | 15 | 259,535 | 133,590 | 125,945 | 305 | 125 | 175 |
Children eligible for instruction in the minority official language | 10 | 0 | 0 | 5 | 0 | 5 | 18,890 | 9,625 | 9,270 | 20 | 10 | 10 |
Eligible children who have been instructed in the minority official language at the primary or secondary level in Canada | 0 | 0 | 0 | 5 | 0 | 5 | 9,575 | 4,670 | 4,910 | 5 | 5 | 0 |
Eligible children who have not been instructed in the minority official language at the primary or secondary level in Canada | 10 | 5 | 5 | 0 | 0 | 0 | 9,315 | 4,955 | 4,360 | 15 | 10 | 5 |
Children not eligible for instruction in the minority official language | 65 | 40 | 25 | 25 | 15 | 10 | 240,640 | 123,965 | 116,675 | 285 | 115 | 170 |
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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