Census Profile, 2021 Census of Population
Profile table
| Characteristic | 48060833More information:
Alberta [Dissemination area] Remove |
48062363More information:
Alberta [Dissemination area] Remove |
48062561More information:
Alberta [Dissemination area] Remove |
48060570More 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 | 397 | ... | ... | 1,225 | ... | ... | 9,200 | ... | ... | 931 | ... | ... |
| Population, 20161 | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| Population percentage change, 2016 to 2021 | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| Total private dwellings2 | 158 | ... | ... | 414 | ... | ... | 3,281 | ... | ... | 569 | ... | ... |
| Private dwellings occupied by usual residents3 | 151 | ... | ... | 408 | ... | ... | 3,209 | ... | ... | 523 | ... | ... |
| Population density per square kilometre | 2,429.6 | ... | ... | 1,507.5 | ... | ... | 2,350.1 | ... | ... | 6,065.1 | ... | ... |
| Land area in square kilometres | 0.16 | ... | ... | 0.81 | ... | ... | 3.91 | ... | ... | 0.15 | ... | ... |
| Age characteristics | ||||||||||||
| Total - Age groups of the population - 100% data | 400 | 195 | 200 | 1,225 | 605 | 620 | 9,200 | 4,535 | 4,665 | 930 | 465 | 470 |
| 0 to 14 years | 60 | 25 | 35 | 200 | 100 | 95 | 2,325 | 1,195 | 1,125 | 125 | 80 | 40 |
| 0 to 4 years | 25 | 10 | 10 | 35 | 15 | 15 | 755 | 380 | 370 | 50 | 30 | 20 |
| 5 to 9 years | 20 | 5 | 10 | 60 | 30 | 30 | 840 | 430 | 410 | 45 | 30 | 15 |
| 10 to 14 years | 20 | 5 | 10 | 105 | 55 | 50 | 730 | 380 | 350 | 35 | 20 | 10 |
| 15 to 64 years | 265 | 130 | 135 | 845 | 415 | 430 | 6,165 | 3,010 | 3,155 | 735 | 355 | 385 |
| 15 to 19 years | 20 | 5 | 10 | 115 | 65 | 50 | 470 | 230 | 240 | 20 | 5 | 20 |
| 20 to 24 years | 20 | 10 | 5 | 100 | 50 | 55 | 315 | 145 | 170 | 65 | 30 | 35 |
| 25 to 29 years | 20 | 10 | 15 | 40 | 20 | 15 | 480 | 230 | 250 | 130 | 65 | 70 |
| 30 to 34 years | 35 | 15 | 15 | 35 | 20 | 20 | 810 | 390 | 425 | 140 | 70 | 70 |
| 35 to 39 years | 25 | 10 | 15 | 25 | 15 | 15 | 935 | 440 | 500 | 115 | 60 | 65 |
| 40 to 44 years | 25 | 15 | 10 | 75 | 35 | 40 | 960 | 480 | 480 | 80 | 40 | 40 |
| 45 to 49 years | 25 | 15 | 15 | 90 | 45 | 50 | 745 | 400 | 345 | 65 | 40 | 20 |
| 50 to 54 years | 25 | 15 | 10 | 145 | 65 | 75 | 545 | 280 | 270 | 50 | 15 | 30 |
| 55 to 59 years | 30 | 20 | 15 | 125 | 65 | 60 | 455 | 215 | 240 | 40 | 20 | 20 |
| 60 to 64 years | 35 | 15 | 20 | 90 | 40 | 50 | 445 | 210 | 235 | 35 | 15 | 20 |
| 65 years and over | 75 | 40 | 30 | 190 | 95 | 90 | 715 | 335 | 380 | 70 | 30 | 40 |
| 65 to 69 years | 35 | 20 | 10 | 60 | 35 | 30 | 310 | 145 | 170 | 35 | 15 | 20 |
| 70 to 74 years | 20 | 10 | 10 | 55 | 25 | 25 | 240 | 105 | 130 | 20 | 10 | 10 |
| 75 to 79 years | 10 | 5 | 5 | 30 | 20 | 15 | 125 | 60 | 65 | 5 | 0 | 5 |
| 80 to 84 years | 5 | 5 | 5 | 25 | 10 | 15 | 30 | 15 | 10 | 5 | 5 | 5 |
| 85 years and over | 5 | 5 | 0 | 10 | 15 | 0 | 10 | 5 | 5 | 5 | 0 | 5 |
| 85 to 89 years | 0 | 0 | 0 | 10 | 5 | 0 | 10 | 5 | 10 | 5 | 0 | 5 |
| 90 to 94 years | 5 | 0 | 0 | 5 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 95 to 99 years | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 100 years and over | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 15.0 | 12.8 | 17.5 | 16.3 | 16.5 | 15.3 | 25.3 | 26.4 | 24.1 | 13.4 | 17.2 | 8.5 |
| 15 to 64 years | 66.3 | 66.7 | 67.5 | 69.0 | 68.6 | 69.4 | 67.0 | 66.4 | 67.6 | 79.0 | 76.3 | 81.9 |
| 65 years and over | 18.8 | 20.5 | 15.0 | 15.5 | 15.7 | 14.5 | 7.8 | 7.4 | 8.1 | 7.5 | 6.5 | 8.5 |
| 85 years and over | 1.3 | 2.6 | 0.0 | 0.8 | 2.5 | 0.0 | 0.1 | 0.1 | 0.1 | 0.5 | 0.0 | 1.1 |
| Average age of the population | 42.6 | 44.4 | 41.0 | 41.7 | 41.7 | 41.8 | 34.4 | 34.1 | 34.8 | 35.8 | 34.2 | 37.5 |
| Median age of the population | 44.4 | 46.4 | 41.6 | 46.8 | 46.8 | 47.2 | 36.0 | 36.0 | 36.0 | 34.4 | 33.6 | 35.2 |
| Household and dwelling characteristics | ||||||||||||
| Total - Occupied private dwellings by structural type of dwelling - 100% data | 150 | ... | ... | 410 | ... | ... | 3,205 | ... | ... | 525 | ... | ... |
| Single-detached house | 150 | ... | ... | 325 | ... | ... | 2,195 | ... | ... | 55 | ... | ... |
| Semi-detached house | 0 | ... | ... | 55 | ... | ... | 265 | ... | ... | 55 | ... | ... |
| Row house | 0 | ... | ... | 0 | ... | ... | 435 | ... | ... | 100 | ... | ... |
| Apartment or flat in a duplex | 5 | ... | ... | 0 | ... | ... | 10 | ... | ... | 25 | ... | ... |
| Apartment in a building that has fewer than five storeys | 0 | ... | ... | 20 | ... | ... | 310 | ... | ... | 285 | ... | ... |
| Apartment in a building that has five or more storeys | 0 | ... | ... | 5 | ... | ... | 0 | ... | ... | 0 | ... | ... |
| Other single-attached house | 0 | ... | ... | 0 | ... | ... | 0 | ... | ... | 0 | ... | ... |
| Movable dwelling4 | 0 | ... | ... | 0 | ... | ... | 0 | ... | ... | 0 | ... | ... |
| Total - Private households by household size - 100% data | 150 | ... | ... | 410 | ... | ... | 3,210 | ... | ... | 525 | ... | ... |
| 1 person | 25 | ... | ... | 40 | ... | ... | 525 | ... | ... | 270 | ... | ... |
| 2 persons | 65 | ... | ... | 145 | ... | ... | 1,015 | ... | ... | 155 | ... | ... |
| 3 persons | 30 | ... | ... | 75 | ... | ... | 565 | ... | ... | 55 | ... | ... |
| 4 persons | 20 | ... | ... | 95 | ... | ... | 715 | ... | ... | 35 | ... | ... |
| 5 or more persons | 10 | ... | ... | 50 | ... | ... | 390 | ... | ... | 10 | ... | ... |
| Number of persons in private households | 395 | 195 | 200 | 1,225 | 605 | 620 | 9,200 | 4,530 | 4,670 | 930 | 465 | 465 |
| Average household size | 2.6 | ... | ... | 3.0 | ... | ... | 2.9 | ... | ... | 1.8 | ... | ... |
| Marital status | ||||||||||||
| Total - Marital status for the total population aged 15 years and over - 100% data | 335 | 175 | 165 | 1,030 | 505 | 520 | 6,880 | 3,340 | 3,535 | 805 | 385 | 425 |
| Married or living common-law | 215 | 110 | 110 | 705 | 345 | 355 | 4,930 | 2,470 | 2,465 | 350 | 175 | 180 |
| Married | 180 | 90 | 90 | 655 | 325 | 325 | 4,310 | 2,155 | 2,155 | 210 | 105 | 105 |
| Living common-law | 40 | 20 | 20 | 50 | 25 | 25 | 625 | 320 | 310 | 140 | 70 | 70 |
| Living common law - Never married | 25 | 10 | 15 | 30 | 15 | 15 | 465 | 230 | 230 | 115 | 55 | 60 |
| Living common law - Separated | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 10 | 15 | 5 | 5 | 0 |
| Living common law - Divorced | 15 | 5 | 10 | 20 | 10 | 10 | 125 | 70 | 55 | 20 | 10 | 10 |
| Living common law - Widowed | 0 | 0 | 0 | 5 | 0 | 5 | 10 | 5 | 10 | 0 | 0 | 0 |
| Not married and not living common-law | 125 | 60 | 60 | 320 | 155 | 170 | 1,945 | 870 | 1,075 | 455 | 210 | 250 |
| Not married and not living common law - Never married | 85 | 45 | 40 | 265 | 140 | 125 | 1,365 | 690 | 675 | 330 | 165 | 160 |
| Not married and not living common law - Separated | 5 | 5 | 5 | 15 | 5 | 10 | 115 | 55 | 65 | 20 | 10 | 10 |
| Not married and not living common law - Divorced | 20 | 10 | 10 | 20 | 5 | 10 | 335 | 100 | 235 | 95 | 30 | 65 |
| Not married and not living common law - Widowed | 15 | 5 | 10 | 25 | 5 | 20 | 130 | 20 | 110 | 10 | 0 | 15 |
| Family characteristics | ||||||||||||
| Total - Census families in private households by family size - 100% data5 | 120 | ... | ... | 370 | ... | ... | 2,675 | ... | ... | 215 | ... | ... |
| 2 persons | 60 | ... | ... | 150 | ... | ... | 1,070 | ... | ... | 135 | ... | ... |
| 3 persons | 25 | ... | ... | 70 | ... | ... | 570 | ... | ... | 40 | ... | ... |
| 4 persons | 25 | ... | ... | 105 | ... | ... | 755 | ... | ... | 30 | ... | ... |
| 5 or more persons | 10 | ... | ... | 45 | ... | ... | 275 | ... | ... | 10 | ... | ... |
| Average size of census families | 2.8 | ... | ... | 3.1 | ... | ... | 3.1 | ... | ... | 2.6 | ... | ... |
| Average number of children in census families with children6 | 1.7 | ... | ... | 1.9 | ... | ... | 1.8 | ... | ... | 1.6 | ... | ... |
| Total number of census families in private households - 100% data | 125 | ... | ... | 375 | ... | ... | 2,675 | ... | ... | 215 | ... | ... |
| Total couple families | 110 | ... | ... | 350 | ... | ... | 2,450 | ... | ... | 175 | ... | ... |
| Married couples | 90 | ... | ... | 325 | ... | ... | 2,135 | ... | ... | 105 | ... | ... |
| With children6 | 45 | ... | ... | 200 | ... | ... | 1,385 | ... | ... | 60 | ... | ... |
| Without children | 45 | ... | ... | 125 | ... | ... | 750 | ... | ... | 40 | ... | ... |
| Common-law couples | 20 | ... | ... | 25 | ... | ... | 310 | ... | ... | 70 | ... | ... |
| With children6 | 5 | ... | ... | 10 | ... | ... | 120 | ... | ... | 5 | ... | ... |
| Without children | 15 | ... | ... | 15 | ... | ... | 190 | ... | ... | 60 | ... | ... |
| Total one-parent families | 10 | ... | ... | 20 | ... | ... | 225 | ... | ... | 40 | ... | ... |
| in which the parent is a woman+ | 10 | ... | ... | 15 | ... | ... | 170 | ... | ... | 30 | ... | ... |
| in which the parent is a man+ | 5 | ... | ... | 5 | ... | ... | 55 | ... | ... | 10 | ... | ... |
| Total - Persons in private households - 100% data | 395 | 195 | 200 | 1,225 | 605 | 620 | 9,200 | 4,530 | 4,665 | 930 | 465 | 465 |
| Total - Persons in census families | 340 | 160 | 180 | 1,165 | 580 | 585 | 8,310 | 4,140 | 4,170 | 560 | 290 | 275 |
| Married spouses or common-law partners | 215 | 110 | 110 | 700 | 350 | 350 | 4,895 | 2,455 | 2,445 | 350 | 170 | 175 |
| Parents in one-parent families | 15 | 5 | 10 | 25 | 10 | 20 | 225 | 55 | 170 | 40 | 10 | 30 |
| Children6 | 110 | 50 | 60 | 445 | 230 | 215 | 3,190 | 1,630 | 1,560 | 170 | 105 | 70 |
| In a two-parent family | 85 | 40 | 45 | 405 | 210 | 195 | 2,845 | 1,455 | 1,385 | 115 | 70 | 45 |
| In a one-parent family | 25 | 10 | 15 | 40 | 20 | 20 | 345 | 175 | 175 | 60 | 30 | 25 |
| Total - Persons not in census families in private households - 100% data | 55 | 30 | 25 | 60 | 25 | 40 | 890 | 395 | 495 | 370 | 180 | 190 |
| Living alone | 25 | 15 | 10 | 40 | 15 | 25 | 525 | 230 | 300 | 270 | 120 | 150 |
| Living with other relatives7 | 10 | 0 | 5 | 20 | 10 | 10 | 170 | 60 | 105 | 20 | 10 | 15 |
| Living with non-relatives only | 15 | 10 | 10 | 5 | 0 | 5 | 200 | 105 | 90 | 80 | 50 | 35 |
| Household type | ||||||||||||
| Total - Household type - 100% data | 155 | ... | ... | 410 | ... | ... | 3,210 | ... | ... | 520 | ... | ... |
| One-census-family households without additional persons | 110 | ... | ... | 345 | ... | ... | 2,370 | ... | ... | 205 | ... | ... |
| Couple-family households | 105 | ... | ... | 325 | ... | ... | 2,195 | ... | ... | 165 | ... | ... |
| With children6 | 50 | ... | ... | 190 | ... | ... | 1,355 | ... | ... | 70 | ... | ... |
| Without children | 50 | ... | ... | 130 | ... | ... | 840 | ... | ... | 100 | ... | ... |
| One-parent-family households | 10 | ... | ... | 20 | ... | ... | 175 | ... | ... | 35 | ... | ... |
| Multigenerational households8 | 0 | ... | ... | 10 | ... | ... | 110 | ... | ... | 0 | ... | ... |
| Multiple-census-family households9 | 0 | ... | ... | 0 | ... | ... | 25 | ... | ... | 0 | ... | ... |
| One-census-family households with additional persons9 | 5 | ... | ... | 10 | ... | ... | 90 | ... | ... | 15 | ... | ... |
| Two-or-more-person non-census-family households | 5 | ... | ... | 0 | ... | ... | 85 | ... | ... | 40 | ... | ... |
| One-person households | 25 | ... | ... | 40 | ... | ... | 525 | ... | ... | 270 | ... | ... |
| Income of individuals in 2020 | ||||||||||||
| Total - Income statistics in 2020 for the population aged 15 years and over in private households - 100% data10 | 335 | 165 | 165 | 1,025 | 510 | 525 | 6,875 | 3,335 | 3,540 | 805 | 385 | 420 |
| Number of total income recipients aged 15 years and over in private households in 2020 - 100% data | 330 | 165 | 160 | 965 | 480 | 485 | 6,550 | 3,195 | 3,355 | 795 | 380 | 415 |
| Median total income in 2020 among recipients ($) | 48,400 | 54,000 | 42,400 | 53,600 | 84,000 | 40,800 | 60,800 | 77,500 | 48,800 | 58,400 | 64,000 | 52,000 |
| Number of after-tax income recipients aged 15 years and over in private households in 2020 - 100% data | 330 | 165 | 160 | 965 | 480 | 485 | 6,560 | 3,200 | 3,365 | 795 | 380 | 415 |
| Median after-tax income in 2020 among recipients ($) | 43,200 | 46,400 | 37,600 | 47,200 | 68,000 | 38,400 | 52,400 | 64,500 | 42,800 | 50,400 | 55,600 | 45,600 |
| Number of market income recipients aged 15 years and over in private households in 2020 - 100% data | 315 | 160 | 155 | 920 | 465 | 455 | 6,205 | 3,085 | 3,120 | 755 | 355 | 400 |
| Median market income in 2020 among recipients ($) | 40,400 | 46,400 | 34,800 | 50,000 | 82,000 | 34,400 | 58,800 | 77,000 | 43,600 | 56,000 | 65,000 | 48,000 |
| Number of employment income recipients aged 15 years and over in private households in 2020 - 100% data | 245 | 130 | 115 | 690 | 380 | 315 | 5,395 | 2,740 | 2,655 | 685 | 330 | 355 |
| Median employment income in 2020 among recipients ($) | 44,800 | 47,600 | 40,000 | 48,800 | 71,000 | 34,800 | 60,800 | 78,000 | 46,800 | 56,800 | 61,200 | 50,400 |
| Number of government transfers recipients aged 15 years and over in private households in 2020 - 100% data | 270 | 135 | 135 | 775 | 385 | 395 | 5,525 | 2,605 | 2,915 | 695 | 330 | 365 |
| Median government transfers in 2020 among recipients ($) | 7,400 | 6,850 | 8,500 | 6,040 | 4,600 | 7,150 | 4,400 | 1,340 | 6,500 | 1,920 | 1,340 | 3,240 |
| Number of employment insurance benefits recipients aged 15 years and over in private households in 2020 - 100% data | 30 | 15 | 15 | 60 | 25 | 35 | 725 | 290 | 430 | 75 | 30 | 45 |
| Median employment insurance benefits in 2020 among recipients ($) | 4,000 | x | x | 5,400 | 4,800 | 5,960 | 5,880 | 5,160 | 6,240 | 5,920 | 6,080 | 5,040 |
| Number of COVID-19 emergency and recovery benefits recipients aged 15 years and over in private households in 2020 - 100% data | 85 | 40 | 45 | 270 | 130 | 145 | 1,760 | 805 | 955 | 245 | 115 | 130 |
| Median COVID-19 emergency and recovery benefits in 2020 among recipients ($) | 8,000 | 8,000 | 8,000 | 8,000 | 8,000 | 8,000 | 8,000 | 8,000 | 8,700 | 8,000 | 9,000 | 8,000 |
| Total - Income statistics in 2020 for the population aged 15 years and over in private households - 25% sample data11 | 355 | 185 | 170 | 1,065 | 515 | 550 | 6,855 | 3,350 | 3,505 | 805 | 380 | 425 |
| Number of total income recipients aged 15 years and over in private households in 2020 - 25% sample data | 330 | 170 | 160 | 990 | 485 | 500 | 6,555 | 3,210 | 3,340 | 790 | 375 | 415 |
| Average total income in 2020 among recipients ($) | 74,000 | 90,000 | 56,800 | 135,600 | 203,000 | 70,000 | 77,700 | 95,500 | 60,550 | 89,000 | 101,600 | 77,600 |
| Number of after-tax income recipients aged 15 years and over in private households in 2020 - 25% sample data | 330 | 170 | 160 | 990 | 485 | 500 | 6,570 | 3,220 | 3,350 | 790 | 375 | 415 |
| Average after-tax income in 2020 among recipients ($) | 57,800 | 67,000 | 48,000 | 94,200 | 132,500 | 57,000 | 61,550 | 73,400 | 50,160 | 67,400 | 75,200 | 60,400 |
| Number of market income recipients aged 15 years and over in private households in 2020 - 25% sample data | 315 | 155 | 150 | 915 | 465 | 450 | 6,215 | 3,100 | 3,110 | 755 | 355 | 395 |
| Average market income in 2020 among recipients ($) | 69,500 | 90,000 | 49,000 | 139,200 | 207,000 | 69,600 | 74,900 | 93,400 | 56,450 | 87,400 | 101,200 | 74,800 |
| Number of employment income recipients aged 15 years and over in private households in 2020 - 25% sample data | 280 | 140 | 140 | 690 | 365 | 315 | 5,345 | 2,710 | 2,630 | 700 | 345 | 355 |
| Average employment income in 2020 among recipients ($) | 52,400 | 59,000 | 45,000 | 118,800 | 165,000 | 65,000 | 74,400 | 91,500 | 56,700 | 86,000 | 97,200 | 75,200 |
| Number of government transfers recipients aged 15 years and over in private households in 2020 - 25% sample data | 265 | 130 | 130 | 795 | 390 | 405 | 5,485 | 2,600 | 2,885 | 710 | 330 | 375 |
| Average government transfers in 2020 among recipients ($) | 11,300 | 9,600 | 13,000 | 8,340 | 7,680 | 8,960 | 7,930 | 6,530 | 9,200 | 6,130 | 5,380 | 6,800 |
| Number of employment insurance benefits recipients aged 15 years and over in private households in 2020 - 25% sample data | 0 | 0 | 0 | 70 | 30 | 45 | 705 | 305 | 400 | 75 | 20 | 55 |
| Average employment insurance benefits in 2020 among recipients ($) | ... | ... | ... | 6,000 | 4,000 | 7,200 | 7,860 | 6,650 | 8,800 | 7,200 | 6,400 | 7,400 |
| Number of COVID-19 emergency and recovery benefits recipients aged 15 years and over in private households in 2020 - 25% sample data | 85 | 45 | 45 | 260 | 125 | 130 | 1,775 | 835 | 940 | 245 | 125 | 125 |
| Average COVID-19 emergency and recovery benefits in 2020 among recipients ($) | 9,000 | 8,800 | 9,200 | 9,400 | 9,200 | 9,600 | 8,750 | 8,340 | 9,120 | 9,100 | 8,600 | 9,600 |
| Total - Employment income statistics in 2020 for the population aged 15 years and over in private households - 25% sample data12 | 355 | 180 | 170 | 1,065 | 515 | 550 | 6,850 | 3,345 | 3,505 | 805 | 385 | 425 |
| Number of employment income recipients in 2020 who worked full-year full-time in 2020 - 25% sample data13 | 115 | 65 | 50 | 325 | 195 | 130 | 2,815 | 1,605 | 1,210 | 370 | 200 | 170 |
| Median employment income in 2020 for full-year full-time workers in 2020 ($)14 | 78,500 | 71,000 | 89,000 | 123,000 | 164,000 | 101,000 | 91,000 | 101,000 | 75,500 | 96,000 | 100,000 | 88,000 |
| Average employment income in 2020 for full-year full-time workers in 2020 ($)15 | 77,000 | 72,000 | 84,000 | 214,000 | 274,000 | 122,000 | 106,200 | 122,600 | 84,400 | 130,500 | 140,000 | 120,000 |
| Number of employment income recipients in 2020 who worked part-year or part-time in 2020 - 25% sample data16 | 105 | 40 | 70 | 275 | 130 | 150 | 2,030 | 900 | 1,125 | 260 | 115 | 150 |
| Median employment income in 2020 of those who worked part-year or part-time in 2020 ($) | 29,200 | 46,400 | 26,200 | 15,000 | 26,000 | 12,600 | 28,200 | 32,400 | 25,600 | 29,200 | 36,000 | 22,000 |
| Average employment income in 2020 of those who worked part-year or part-time in 2020 ($) | 43,000 | 68,000 | 29,000 | 37,600 | 53,000 | 24,800 | 42,160 | 49,700 | 36,100 | 39,200 | 35,500 | 42,000 |
| Composition of total income in 2020 of the population aged 15 years and over in private households (%) - 25% sample data17 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 |
| Market income (%)18 | 88.0 | 92.0 | 80.0 | 95.2 | 97.0 | 90.0 | 91.4 | 94.4 | 86.8 | 94.0 | 95.0 | 92.0 |
| Employment income (%)19 | 59.0 | 54.0 | 70.0 | 60.8 | 61.6 | 59.0 | 78.0 | 80.8 | 73.8 | 85.6 | 88.0 | 83.0 |
| Government transfers (%)20 | 12.0 | 8.4 | 18.5 | 4.9 | 3.0 | 10.3 | 8.5 | 5.5 | 13.1 | 6.2 | 4.7 | 7.9 |
| Employment insurance benefits (%) | x | ... | x | 0.3 | 0.1 | 0.9 | 1.1 | 0.7 | 1.7 | 0.8 | 0.4 | 1.3 |
| COVID-19 - Government income support and benefits (%) | 3.8 | 2.8 | 5.4 | 2.0 | 1.2 | 4.0 | 3.4 | 2.4 | 4.8 | 3.5 | 3.0 | 4.0 |
| COVID-19 - Emergency and recovery benefits (%) | 3.3 | 2.6 | 4.4 | 1.8 | 1.2 | 3.6 | 3.1 | 2.3 | 4.2 | 3.2 | 2.8 | 3.7 |
| Total - Total income groups in 2020 for the population aged 15 years and over in private households - 100% data21 | 335 | 170 | 165 | 1,030 | 505 | 520 | 6,880 | 3,340 | 3,535 | 805 | 385 | 425 |
| Without total income | 10 | 0 | 5 | 60 | 25 | 40 | 325 | 145 | 180 | 15 | 10 | 10 |
| With total income | 325 | 170 | 160 | 965 | 480 | 485 | 6,550 | 3,195 | 3,355 | 790 | 380 | 415 |
| Under $10,000 (including loss) | 30 | 15 | 15 | 110 | 45 | 65 | 530 | 170 | 360 | 55 | 25 | 30 |
| $10,000 to $19,999 | 25 | 10 | 15 | 115 | 40 | 70 | 435 | 170 | 270 | 50 | 25 | 25 |
| $20,000 to $29,999 | 40 | 20 | 20 | 110 | 50 | 60 | 660 | 240 | 425 | 95 | 35 | 55 |
| $30,000 to $39,999 | 45 | 15 | 25 | 70 | 30 | 40 | 585 | 220 | 365 | 100 | 35 | 60 |
| $40,000 to $49,999 | 35 | 15 | 20 | 55 | 25 | 30 | 505 | 200 | 300 | 60 | 25 | 35 |
| $50,000 to $59,999 | 35 | 15 | 20 | 50 | 15 | 35 | 500 | 215 | 285 | 55 | 30 | 30 |
| $60,000 to $69,999 | 25 | 15 | 5 | 40 | 15 | 25 | 505 | 230 | 275 | 55 | 20 | 35 |
| $70,000 to $79,999 | 20 | 15 | 10 | 30 | 15 | 15 | 395 | 205 | 190 | 50 | 25 | 25 |
| $80,000 to $89,999 | 15 | 10 | 5 | 40 | 20 | 20 | 355 | 185 | 170 | 40 | 25 | 20 |
| $90,000 to $99,999 | 15 | 5 | 10 | 40 | 20 | 20 | 355 | 190 | 160 | 35 | 15 | 15 |
| $100,000 and over | 50 | 40 | 15 | 310 | 210 | 100 | 1,720 | 1,180 | 545 | 205 | 115 | 90 |
| $100,000 to $149,999 | 35 | 20 | 15 | 105 | 55 | 50 | 995 | 635 | 365 | 105 | 55 | 55 |
| $150,000 and over | 20 | 15 | 5 | 200 | 155 | 45 | 725 | 550 | 175 | 95 | 60 | 35 |
| Total - After-tax income groups in 2020 for the population aged 15 years and over in private households - 100% data22 | 335 | 170 | 165 | 1,030 | 505 | 520 | 6,880 | 3,340 | 3,535 | 805 | 385 | 425 |
| Without after-tax income | 10 | 0 | 5 | 60 | 25 | 40 | 315 | 140 | 175 | 15 | 10 | 10 |
| With after-tax income | 325 | 170 | 160 | 965 | 480 | 485 | 6,560 | 3,195 | 3,365 | 790 | 380 | 415 |
| Under $10,000 (including loss) | 30 | 15 | 15 | 120 | 45 | 70 | 570 | 180 | 390 | 55 | 25 | 30 |
| $10,000 to $19,999 | 30 | 10 | 15 | 115 | 45 | 75 | 465 | 180 | 290 | 50 | 25 | 25 |
| $20,000 to $29,999 | 45 | 20 | 30 | 110 | 55 | 60 | 765 | 275 | 495 | 105 | 40 | 70 |
| $30,000 to $39,999 | 45 | 20 | 25 | 85 | 40 | 45 | 670 | 270 | 400 | 105 | 50 | 55 |
| $40,000 to $49,999 | 50 | 20 | 25 | 70 | 30 | 45 | 640 | 265 | 370 | 70 | 35 | 40 |
| $50,000 to $59,999 | 25 | 20 | 10 | 50 | 15 | 30 | 665 | 300 | 365 | 75 | 30 | 45 |
| $60,000 to $69,999 | 25 | 15 | 10 | 50 | 25 | 25 | 540 | 280 | 260 | 65 | 30 | 35 |
| $70,000 to $79,999 | 20 | 10 | 10 | 45 | 20 | 25 | 475 | 260 | 215 | 50 | 30 | 25 |
| $80,000 to $89,999 | 15 | 5 | 10 | 40 | 15 | 30 | 445 | 235 | 210 | 45 | 20 | 20 |
| $90,000 to $99,999 | 10 | 5 | 5 | 30 | 15 | 10 | 300 | 180 | 120 | 30 | 10 | 15 |
| $100,000 and over | 30 | 20 | 5 | 245 | 185 | 65 | 1,035 | 780 | 260 | 135 | 85 | 55 |
| $100,000 to $124,999 | 15 | 10 | 5 | 65 | 40 | 25 | 435 | 310 | 130 | 50 | 25 | 25 |
| $125,000 and over | 10 | 10 | 0 | 180 | 145 | 40 | 605 | 470 | 135 | 80 | 55 | 30 |
| Total - Employment income groups in 2020 for the population aged 15 years and over in private households - 100% data19 | 335 | 170 | 165 | 1,030 | 505 | 520 | 6,880 | 3,340 | 3,535 | 805 | 385 | 425 |
| Without employment income | 85 | 40 | 50 | 335 | 130 | 205 | 1,480 | 600 | 885 | 115 | 50 | 70 |
| With employment income | 250 | 130 | 120 | 690 | 375 | 315 | 5,395 | 2,740 | 2,655 | 690 | 335 | 355 |
| Under $5,000 (including loss) | 35 | 15 | 15 | 115 | 55 | 55 | 505 | 210 | 300 | 80 | 30 | 45 |
| $5,000 to $9,999 | 20 | 10 | 15 | 65 | 30 | 35 | 320 | 115 | 210 | 40 | 20 | 20 |
| $10,000 to $19,999 | 20 | 15 | 10 | 75 | 35 | 40 | 485 | 170 | 315 | 55 | 20 | 30 |
| $20,000 to $29,999 | 20 | 5 | 10 | 40 | 25 | 20 | 345 | 135 | 205 | 50 | 15 | 30 |
| $30,000 to $39,999 | 20 | 10 | 10 | 30 | 15 | 20 | 320 | 135 | 180 | 45 | 20 | 25 |
| $40,000 to $49,999 | 20 | 10 | 10 | 25 | 10 | 10 | 335 | 140 | 195 | 45 | 25 | 20 |
| $50,000 to $59,999 | 20 | 10 | 10 | 30 | 10 | 15 | 340 | 145 | 190 | 40 | 20 | 20 |
| $60,000 to $69,999 | 15 | 10 | 5 | 25 | 10 | 15 | 370 | 170 | 200 | 50 | 20 | 30 |
| $70,000 to $79,999 | 15 | 5 | 5 | 20 | 10 | 10 | 300 | 165 | 140 | 35 | 15 | 15 |
| $80,000 to $89,999 | 15 | 5 | 10 | 20 | 10 | 10 | 300 | 150 | 150 | 50 | 25 | 25 |
| $90,000 to $99,999 | 10 | 5 | 10 | 25 | 5 | 15 | 310 | 160 | 145 | 25 | 10 | 15 |
| $100,000 and over | 40 | 30 | 10 | 225 | 160 | 65 | 1,460 | 1,035 | 425 | 175 | 100 | 70 |
| $100,000 to $124,999 | 20 | 15 | 5 | 45 | 25 | 25 | 565 | 340 | 220 | 55 | 25 | 35 |
| $125,000 and over | 25 | 15 | 10 | 180 | 140 | 35 | 895 | 690 | 200 | 115 | 75 | 40 |
| Income of individuals in 2019 | ||||||||||||
| Total - Income statistics in 2019 for the population aged 15 years and over in private households - 100% data23 | 335 | 165 | 165 | 1,025 | 510 | 525 | 6,875 | 3,335 | 3,540 | 805 | 385 | 420 |
| Number of total income recipients aged 15 years and over in private households in 2019 - 100% data | 325 | 160 | 160 | 930 | 460 | 470 | 6,445 | 3,135 | 3,310 | 770 | 365 | 405 |
| Median total income in 2019 among recipients ($) | 47,600 | 54,800 | 42,800 | 59,600 | 91,000 | 41,600 | 61,600 | 82,000 | 47,600 | 58,000 | 64,500 | 52,400 |
| Number of after-tax income recipients aged 15 years and over in private households in 2019 - 100% data | 325 | 160 | 160 | 930 | 460 | 470 | 6,450 | 3,135 | 3,315 | 770 | 365 | 405 |
| Median after-tax income in 2019 among recipients ($) | 42,000 | 49,200 | 38,800 | 51,200 | 76,500 | 37,600 | 53,200 | 67,000 | 42,000 | 50,800 | 55,200 | 46,000 |
| Number of market income recipients aged 15 years and over in private households in 2019 - 100% data | 315 | 160 | 155 | 895 | 440 | 455 | 6,145 | 3,050 | 3,100 | 740 | 345 | 395 |
| Median market income in 2019 among recipients ($) | 43,200 | 49,200 | 40,400 | 56,400 | 90,000 | 39,600 | 61,600 | 82,000 | 45,600 | 59,200 | 66,500 | 50,800 |
| Number of employment income recipients aged 15 years and over in private households in 2019 - 100% data | 255 | 130 | 125 | 695 | 365 | 330 | 5,405 | 2,740 | 2,665 | 675 | 320 | 350 |
| Median employment income in 2019 among recipients ($) | 46,800 | 51,600 | 42,000 | 52,000 | 88,000 | 34,800 | 63,200 | 82,000 | 47,200 | 59,600 | 64,000 | 53,200 |
| Number of government transfers recipients aged 15 years and over in private households in 2019 - 100% data | 265 | 135 | 130 | 715 | 375 | 340 | 5,165 | 2,485 | 2,680 | 665 | 320 | 345 |
| Median government transfers in 2019 among recipients ($) | 1,520 | 900 | 3,160 | 940 | 890 | 1,210 | 980 | 890 | 2,400 | 820 | 785 | 880 |
| Number of employment insurance benefits recipients aged 15 years and over in private households in 2019 -100% data | 25 | 10 | 20 | 25 | 10 | 20 | 515 | 185 | 330 | 55 | 20 | 35 |
| Median employment insurance benefits in 2019 among recipients ($) | 6,750 | x | x | 6,240 | x | x | 8,000 | 4,920 | 9,800 | 7,800 | 6,800 | 9,900 |
| Total - Income statistics in 2019 for the population aged 15 years and over in private households - 25% sample data24 | 355 | 185 | 170 | 1,065 | 515 | 550 | 6,855 | 3,350 | 3,505 | 805 | 380 | 425 |
| Number of total income recipients aged 15 years and over in private households in 2019 - 25% sample data | 335 | 170 | 165 | 945 | 465 | 475 | 6,445 | 3,170 | 3,275 | 765 | 360 | 405 |
| Average total income in 2019 among recipients ($) | 62,200 | 72,500 | 51,600 | 114,400 | 158,000 | 71,600 | 82,600 | 105,100 | 60,850 | 92,400 | 102,400 | 83,200 |
| Number of after-tax income recipients aged 15 years and over in private households in 2019 - 25% sample data | 335 | 170 | 165 | 945 | 465 | 475 | 6,450 | 3,170 | 3,285 | 765 | 360 | 405 |
| Average after-tax income in 2019 among recipients ($) | 50,800 | 56,800 | 44,400 | 82,600 | 108,400 | 57,200 | 64,400 | 79,800 | 49,560 | 69,800 | 76,000 | 64,400 |
| Number of market income recipients aged 15 years and over in private households in 2019 - 25% sample data | 315 | 170 | 150 | 905 | 450 | 455 | 6,140 | 3,045 | 3,090 | 750 | 355 | 400 |
| Average market income in 2019 among recipients ($) | 58,800 | 68,000 | 48,000 | 115,600 | 161,000 | 70,800 | 82,600 | 106,400 | 59,200 | 92,200 | 102,800 | 82,800 |
| Number of employment income recipients aged 15 years and over in private households in 2019 - 25% sample data | 290 | 150 | 140 | 710 | 375 | 335 | 5,370 | 2,730 | 2,645 | 695 | 330 | 370 |
| Average employment income in 2019 among recipients ($) | 56,800 | 65,000 | 48,000 | 117,000 | 163,000 | 65,600 | 80,900 | 102,200 | 59,000 | 90,200 | 102,800 | 79,200 |
| Number of government transfers recipients aged 15 years and over in private households in 2019 - 25% sample data | 245 | 120 | 120 | 715 | 375 | 340 | 5,110 | 2,485 | 2,620 | 665 | 315 | 350 |
| Average government transfers in 2019 among recipients ($) | 7,900 | 6,000 | 9,800 | 5,000 | 4,140 | 5,940 | 4,892 | 3,436 | 6,275 | 2,552 | 2,180 | 2,890 |
| Number of employment insurance benefits recipients aged 15 years and over in private households in 2019 - 25% sample data | 25 | 0 | 25 | 35 | 0 | 20 | 540 | 215 | 325 | 45 | 15 | 30 |
| Average employment insurance benefits in 2019 among recipients ($) | 11,000 | ... | 12,000 | 6,000 | ... | 7,200 | 10,080 | 6,950 | 12,160 | 8,400 | 9,000 | 8,000 |
| Total - Employment income statistics in 2019 for the population aged 15 years and over in private households - 25% sample data25 | 355 | 180 | 170 | 1,065 | 515 | 550 | 6,850 | 3,345 | 3,505 | 805 | 385 | 425 |
| Number of employment income recipients in 2019 who worked full-year full-time in 2020 - 25% sample data13 | 120 | 70 | 50 | 330 | 195 | 130 | 2,770 | 1,580 | 1,185 | 355 | 190 | 170 |
| Median employment income in 2019 for full-year full-time workers in 2020 ($)14 | 77,000 | 67,500 | 86,000 | 132,000 | 162,000 | 97,000 | 90,000 | 100,000 | 75,000 | 96,000 | 96,000 | 81,000 |
| Average employment income in 2019 for full-year full-time workers in 2020 ($)15 | 73,000 | 64,000 | 88,000 | 208,000 | 268,000 | 116,000 | 113,500 | 136,400 | 83,000 | 129,000 | 140,000 | 117,000 |
| Number of employment income recipients in 2019 who worked part-year or part-time in 2020 - 25% sample data16 | 105 | 40 | 60 | 265 | 125 | 145 | 1,980 | 885 | 1,090 | 250 | 105 | 150 |
| Median employment income in 2019 of those who worked part-year or part-time in 2020 ($) | 28,800 | 35,600 | 25,800 | 19,000 | 24,200 | 16,800 | 33,600 | 44,000 | 29,200 | 35,600 | 40,800 | 26,800 |
| Average employment income in 2019 of those who worked part-year or part-time in 2020 ($) | 59,000 | 100,000 | 31,000 | 40,800 | 53,000 | 30,400 | 50,600 | 59,000 | 43,700 | 52,400 | 51,000 | 54,000 |
| Composition of total income in 2019 of the population aged 15 years and over in private households (%) - 25% sample data | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 |
| Market income (%) | 90.0 | 94.0 | 88.0 | 96.8 | 98.0 | 94.0 | 95.4 | 97.4 | 91.8 | 97.6 | 98.0 | 97.0 |
| Employment income (%) | 79.0 | 80.0 | 78.0 | 76.8 | 83.0 | 64.0 | 81.6 | 83.6 | 78.2 | 88.4 | 91.0 | 86.0 |
| Government transfers (%) | 9.2 | 6.0 | 14.0 | 3.3 | 2.1 | 5.9 | 4.7 | 2.6 | 8.2 | 2.4 | 1.9 | 3.0 |
| Employment insurance benefits (%) | 1.4 | x | 3.6 | 0.2 | x | 0.5 | 1.0 | 0.5 | 2.0 | 0.6 | 0.4 | 0.7 |
| Income of households in 2020 | ||||||||||||
| Total - Income statistics for private households - 100% data26 | 150 | ... | ... | 410 | ... | ... | 3,210 | ... | ... | 525 | ... | ... |
| Median total income of household in 2020 ($) | 119,000 | ... | ... | 188,000 | ... | ... | 139,000 | ... | ... | 91,000 | ... | ... |
| Median after-tax income of household in 2020 ($) | 102,000 | ... | ... | 157,000 | ... | ... | 116,000 | ... | ... | 76,000 | ... | ... |
| Total - Income statistics for one-person private households - 100% data | 25 | ... | ... | 40 | ... | ... | 525 | ... | ... | 270 | ... | ... |
| Median total income of one-person households in 2020 ($) | 50,000 | ... | ... | 75,000 | ... | ... | 70,500 | ... | ... | 58,400 | ... | ... |
| Median after-tax income of one-person households in 2020 ($) | 49,200 | ... | ... | 56,400 | ... | ... | 58,400 | ... | ... | 50,000 | ... | ... |
| Total - Income statistics for two-or-more-persons private households - 100% data | 125 | ... | ... | 370 | ... | ... | 2,685 | ... | ... | 250 | ... | ... |
| Median total income of two-or-more-person households in 2020 ($) | 129,000 | ... | ... | 198,000 | ... | ... | 154,000 | ... | ... | 136,000 | ... | ... |
| Median after-tax income of two-or-more-person households in 2020 ($) | 107,000 | ... | ... | 164,000 | ... | ... | 127,000 | ... | ... | 112,000 | ... | ... |
| Total - Income statistics for private households - 25% sample data27 | 160 | ... | ... | 415 | ... | ... | 3,200 | ... | ... | 515 | ... | ... |
| Average total income of household in 2020 ($) | 156,000 | ... | ... | 324,000 | ... | ... | 159,000 | ... | ... | 135,500 | ... | ... |
| Average after-tax income of household in 2020 ($) | 122,000 | ... | ... | 226,000 | ... | ... | 126,400 | ... | ... | 102,400 | ... | ... |
| Total - Income statistics for one-person private households - 25% sample data | 20 | ... | ... | 35 | ... | ... | 505 | ... | ... | 270 | ... | ... |
| Average total income of one-person households in 2020 ($) | 70,000 | ... | ... | 95,000 | ... | ... | 78,000 | ... | ... | 91,000 | ... | ... |
| Average after-tax income of one-person households in 2020 ($) | 60,000 | ... | ... | 80,000 | ... | ... | 63,000 | ... | ... | 68,500 | ... | ... |
| Total - Income statistics for two-or-more-persons private households - 25% sample data | 135 | ... | ... | 375 | ... | ... | 2,690 | ... | ... | 250 | ... | ... |
| Average total income of two-or-more-person households in 2020 ($) | 168,000 | ... | ... | 346,000 | ... | ... | 174,400 | ... | ... | 182,000 | ... | ... |
| Average after-tax income of two-or-more-person households in 2020 ($) | 132,000 | ... | ... | 239,000 | ... | ... | 138,400 | ... | ... | 139,000 | ... | ... |
| Total - Household total income groups in 2020 for private households - 100% data21 | 150 | ... | ... | 410 | ... | ... | 3,210 | ... | ... | 525 | ... | ... |
| Under $5,000 | 0 | ... | ... | 0 | ... | ... | 20 | ... | ... | 10 | ... | ... |
| $5,000 to $9,999 | 0 | ... | ... | 0 | ... | ... | 10 | ... | ... | 5 | ... | ... |
| $10,000 to $14,999 | 5 | ... | ... | 0 | ... | ... | 10 | ... | ... | 0 | ... | ... |
| $15,000 to $19,999 | 0 | ... | ... | 0 | ... | ... | 10 | ... | ... | 10 | ... | ... |
| $20,000 to $24,999 | 0 | ... | ... | 5 | ... | ... | 30 | ... | ... | 20 | ... | ... |
| $25,000 to $29,999 | 0 | ... | ... | 0 | ... | ... | 35 | ... | ... | 15 | ... | ... |
| $30,000 to $34,999 | 0 | ... | ... | 0 | ... | ... | 40 | ... | ... | 25 | ... | ... |
| $35,000 to $39,999 | 0 | ... | ... | 10 | ... | ... | 35 | ... | ... | 15 | ... | ... |
| $40,000 to $44,999 | 0 | ... | ... | 10 | ... | ... | 35 | ... | ... | 20 | ... | ... |
| $45,000 to $49,999 | 5 | ... | ... | 10 | ... | ... | 50 | ... | ... | 10 | ... | ... |
| $50,000 to $59,999 | 5 | ... | ... | 15 | ... | ... | 130 | ... | ... | 30 | ... | ... |
| $60,000 to $69,999 | 10 | ... | ... | 10 | ... | ... | 140 | ... | ... | 30 | ... | ... |
| $70,000 to $79,999 | 10 | ... | ... | 15 | ... | ... | 125 | ... | ... | 25 | ... | ... |
| $80,000 to $89,999 | 10 | ... | ... | 10 | ... | ... | 160 | ... | ... | 30 | ... | ... |
| $90,000 to $99,999 | 10 | ... | ... | 0 | ... | ... | 160 | ... | ... | 30 | ... | ... |
| $100,000 and over | 90 | ... | ... | 310 | ... | ... | 2,215 | ... | ... | 235 | ... | ... |
| $100,000 to $124,999 | 25 | ... | ... | 25 | ... | ... | 410 | ... | ... | 55 | ... | ... |
| $125,000 to $149,999 | 20 | ... | ... | 30 | ... | ... | 360 | ... | ... | 40 | ... | ... |
| $150,000 to $199,999 | 25 | ... | ... | 65 | ... | ... | 610 | ... | ... | 60 | ... | ... |
| $200,000 and over | 25 | ... | ... | 185 | ... | ... | 835 | ... | ... | 80 | ... | ... |
| Total - Household after-tax income groups in 2020 for private households - 100% data22 | 150 | ... | ... | 410 | ... | ... | 3,210 | ... | ... | 525 | ... | ... |
| Under $5,000 | 0 | ... | ... | 0 | ... | ... | 30 | ... | ... | 10 | ... | ... |
| $5,000 to $9,999 | 0 | ... | ... | 0 | ... | ... | 5 | ... | ... | 5 | ... | ... |
| $10,000 to $14,999 | 5 | ... | ... | 0 | ... | ... | 10 | ... | ... | 5 | ... | ... |
| $15,000 to $19,999 | 0 | ... | ... | 5 | ... | ... | 15 | ... | ... | 10 | ... | ... |
| $20,000 to $24,999 | 0 | ... | ... | 5 | ... | ... | 40 | ... | ... | 20 | ... | ... |
| $25,000 to $29,999 | 5 | ... | ... | 0 | ... | ... | 45 | ... | ... | 20 | ... | ... |
| $30,000 to $34,999 | 0 | ... | ... | 0 | ... | ... | 40 | ... | ... | 25 | ... | ... |
| $35,000 to $39,999 | 0 | ... | ... | 10 | ... | ... | 45 | ... | ... | 20 | ... | ... |
| $40,000 to $44,999 | 0 | ... | ... | 10 | ... | ... | 55 | ... | ... | 20 | ... | ... |
| $45,000 to $49,999 | 5 | ... | ... | 15 | ... | ... | 70 | ... | ... | 20 | ... | ... |
| $50,000 to $59,999 | 10 | ... | ... | 15 | ... | ... | 170 | ... | ... | 35 | ... | ... |
| $60,000 to $69,999 | 15 | ... | ... | 15 | ... | ... | 160 | ... | ... | 35 | ... | ... |
| $70,000 to $79,999 | 10 | ... | ... | 20 | ... | ... | 185 | ... | ... | 30 | ... | ... |
| $80,000 to $89,999 | 5 | ... | ... | 0 | ... | ... | 230 | ... | ... | 40 | ... | ... |
| $90,000 to $99,999 | 15 | ... | ... | 10 | ... | ... | 200 | ... | ... | 30 | ... | ... |
| $100,000 and over | 75 | ... | ... | 295 | ... | ... | 1,900 | ... | ... | 185 | ... | ... |
| $100,000 to $124,999 | 25 | ... | ... | 40 | ... | ... | 475 | ... | ... | 50 | ... | ... |
| $125,000 to $149,999 | 25 | ... | ... | 40 | ... | ... | 430 | ... | ... | 40 | ... | ... |
| $150,000 and over | 30 | ... | ... | 215 | ... | ... | 995 | ... | ... | 90 | ... | ... |
| Income of economic families in 2020 | ||||||||||||
| Total - Income statistics for economic families in private households - 100% data28 | 120 | ... | ... | 365 | ... | ... | 2,620 | ... | ... | 220 | ... | ... |
| Median total income of economic family in 2020 ($) | 123,000 | ... | ... | 198,000 | ... | ... | 154,000 | ... | ... | 141,000 | ... | ... |
| Median after-tax income of economic family in 2020 ($) | 106,000 | ... | ... | 164,000 | ... | ... | 127,000 | ... | ... | 116,000 | ... | ... |
| Average family size of economic families | 2.9 | ... | ... | 3.2 | ... | ... | 3.2 | ... | ... | 2.6 | ... | ... |
| Total - Income statistics for couple-only economic families in private households - 100% data | 50 | ... | ... | 130 | ... | ... | 850 | ... | ... | 105 | ... | ... |
| Median total income of couple-only economic families in 2020 ($) | 112,000 | ... | ... | 153,000 | ... | ... | 135,000 | ... | ... | 134,000 | ... | ... |
| Median after-tax income of couple-only economic families in 2020 ($) | 99,000 | ... | ... | 127,000 | ... | ... | 113,000 | ... | ... | 111,000 | ... | ... |
| Average family size of couple-only economic families | 2.0 | ... | ... | 2.0 | ... | ... | 2.0 | ... | ... | 2.0 | ... | ... |
| Total - Income statistics for couple-with-children economic families in private households - 100% data | 50 | ... | ... | 210 | ... | ... | 1,505 | ... | ... | 70 | ... | ... |
| Median total income of couple-with-children economic families in 2020 ($) | 151,000 | ... | ... | 254,000 | ... | ... | 174,000 | ... | ... | 196,000 | ... | ... |
| Median after-tax income of couple-with-children economic families in 2020 ($) | 127,000 | ... | ... | 194,000 | ... | ... | 142,000 | ... | ... | 146,000 | ... | ... |
| Average family size of couple-with-children economic families | 3.8 | ... | ... | 4.0 | ... | ... | 4.0 | ... | ... | 3.8 | ... | ... |
| Total - Income statistics for one-parent economic families in private households - 100% data | 10 | ... | ... | 25 | ... | ... | 210 | ... | ... | 40 | ... | ... |
| Median total income of one-parent economic families in 2020 ($) | x | ... | ... | 119,000 | ... | ... | 89,000 | ... | ... | 89,000 | ... | ... |
| Median after-tax income of one-parent economic families in 2020 ($) | x | ... | ... | 100,000 | ... | ... | 78,000 | ... | ... | 80,000 | ... | ... |
| Average family size of one-parent economic families | 3.2 | ... | ... | 2.7 | ... | ... | 2.7 | ... | ... | 2.4 | ... | ... |
| Total - Income statistics for persons aged 15 years and over not in economic families in private households - 100% data29 | 40 | 30 | 15 | 45 | 15 | 25 | 720 | 335 | 390 | 355 | 170 | 180 |
| Median total income in 2020 ($)30 | 43,600 | 42,400 | x | 70,000 | x | 62,400 | 64,000 | 70,500 | 59,600 | 53,600 | 54,000 | 53,200 |
| Median after-tax income in 2020 ($)30 | 41,200 | 40,400 | x | 52,400 | x | 52,400 | 54,000 | 58,400 | 50,800 | 46,800 | 46,400 | 48,000 |
| Total - Income statistics for economic families in private households - 25% sample data31 | 130 | ... | ... | 380 | ... | ... | 2,610 | ... | ... | 215 | ... | ... |
| Average total income of economic family in 2020 ($) | 164,000 | ... | ... | 346,000 | ... | ... | 176,400 | ... | ... | 188,000 | ... | ... |
| Average after-tax income of economic family in 2020 ($) | 126,000 | ... | ... | 239,000 | ... | ... | 139,800 | ... | ... | 142,000 | ... | ... |
| Total - Income statistics for couple-only economic families in private households - 25% sample data | 45 | ... | ... | 125 | ... | ... | 890 | ... | ... | 105 | ... | ... |
| Average total income of couple-only economic families in 2020 ($) | 132,000 | ... | ... | 420,000 | ... | ... | 165,200 | ... | ... | 150,000 | ... | ... |
| Average after-tax income of couple-only economic families in 2020 ($) | 108,000 | ... | ... | 276,000 | ... | ... | 132,000 | ... | ... | 120,000 | ... | ... |
| Total - Income statistics for couple-with-children economic families in private households - 25% sample data | 55 | ... | ... | 200 | ... | ... | 1,460 | ... | ... | 70 | ... | ... |
| Average total income of couple-with-children economic families in 2020 ($) | 220,000 | ... | ... | 340,000 | ... | ... | 191,200 | ... | ... | 300,000 | ... | ... |
| Average after-tax income of couple-with-children economic families in 2020 ($) | 160,000 | ... | ... | 240,000 | ... | ... | 150,200 | ... | ... | 210,000 | ... | ... |
| Total - Income statistics for one-parent economic families in private households - 25% sample data | 30 | ... | ... | 30 | ... | ... | 215 | ... | ... | 35 | ... | ... |
| Average total income of one-parent economic families in 2020 ($) | 90,000 | ... | ... | 150,000 | ... | ... | 105,000 | ... | ... | 100,000 | ... | ... |
| Average after-tax income of one-parent economic families in 2020 ($) | 80,000 | ... | ... | 130,000 | ... | ... | 89,000 | ... | ... | 90,000 | ... | ... |
| Total - Income statistics for persons aged 15 years and over not in economic families in private households - 25% sample data32 | 45 | 25 | 20 | 45 | 0 | 30 | 695 | 295 | 400 | 350 | 175 | 175 |
| Average total income in 2020 ($)30 | 76,000 | 95,000 | 50,000 | 84,000 | x | 90,000 | 70,000 | 70,500 | 69,600 | 85,200 | 68,000 | 102,000 |
| Average after-tax income in 2020 ($)30 | 60,000 | 72,000 | 45,000 | 74,000 | x | 80,000 | 56,900 | 57,600 | 56,400 | 64,800 | 54,400 | 75,500 |
| Low income and income inequality in 2020 | ||||||||||||
| Total - LIM low-income status in 2020 for the population in private households - 100% data33 | 395 | 190 | 205 | 1,225 | 605 | 620 | 9,200 | 4,535 | 4,665 | 930 | 465 | 470 |
| 0 to 17 years | 70 | 30 | 40 | 260 | 130 | 135 | 2,635 | 1,345 | 1,290 | 140 | 85 | 50 |
| 0 to 5 years | 30 | 15 | 15 | 40 | 15 | 25 | 945 | 490 | 460 | 60 | 35 | 20 |
| 18 to 64 years | 250 | 125 | 130 | 780 | 380 | 395 | 5,850 | 2,860 | 2,990 | 725 | 350 | 375 |
| 65 years and over | 75 | 45 | 30 | 185 | 95 | 90 | 715 | 335 | 380 | 70 | 30 | 40 |
| In low income based on the Low-income measure, after tax (LIM-AT) | 25 | 15 | 10 | 65 | 30 | 35 | 425 | 205 | 220 | 115 | 60 | 50 |
| 0 to 17 years | 10 | 0 | 5 | 20 | 10 | 10 | 135 | 75 | 65 | 20 | 15 | 5 |
| 0 to 5 years | 5 | 0 | 0 | 0 | 0 | 5 | 45 | 25 | 20 | 5 | 5 | 5 |
| 18 to 64 years | 15 | 5 | 5 | 45 | 20 | 20 | 245 | 120 | 125 | 75 | 40 | 35 |
| 65 years and over | 5 | 5 | 0 | 10 | 5 | 0 | 35 | 10 | 25 | 10 | 5 | 10 |
| Prevalence of low income based on the Low-income measure, after tax (LIM-AT) (%) | 6.8 | 7.0 | 7.0 | 5.4 | 5.2 | 5.6 | 4.6 | 4.6 | 4.6 | 12.0 | 13.2 | 10.8 |
| 0 to 17 years (%) | x | x | x | 7.0 | 6.0 | 6.0 | 5.3 | 5.6 | 4.8 | 15.0 | 18.0 | 10.0 |
| 0 to 5 years (%) | x | x | x | x | x | x | 5.2 | 5.6 | 4.8 | 12.0 | 16.0 | x |
| 18 to 64 years (%) | 6.0 | 5.0 | 6.0 | 5.2 | 4.5 | 5.6 | 4.2 | 4.2 | 4.3 | 10.4 | 11.0 | 10.0 |
| 65 years and over (%) | x | x | x | 4.0 | 5.0 | x | 5.2 | 3.6 | 6.4 | 20.0 | 20.0 | 20.0 |
| Total - LICO low-income status in 2020 for the population in private households to whom the low-income concept is applicable - 100% data33 | 395 | 195 | 200 | 1,225 | 605 | 620 | 9,200 | 4,535 | 4,665 | 930 | 465 | 465 |
| 0 to 17 years | 70 | 25 | 40 | 260 | 130 | 130 | 2,635 | 1,345 | 1,290 | 135 | 90 | 50 |
| 0 to 5 years | 25 | 10 | 15 | 40 | 15 | 20 | 940 | 485 | 455 | 55 | 35 | 25 |
| 18 to 64 years | 250 | 120 | 130 | 780 | 380 | 400 | 5,850 | 2,855 | 2,995 | 725 | 350 | 380 |
| 65 years and over | 70 | 40 | 35 | 185 | 95 | 95 | 715 | 330 | 385 | 65 | 30 | 35 |
| In low income based on the Low-income cut-offs, after tax (LICO-AT) | 20 | 10 | 5 | 40 | 20 | 20 | 265 | 140 | 130 | 85 | 45 | 35 |
| 0 to 17 years | 0 | 0 | 0 | 10 | 5 | 5 | 85 | 50 | 35 | 15 | 10 | 5 |
| 0 to 5 years | 0 | 0 | 0 | 5 | 0 | 0 | 35 | 20 | 15 | 10 | 5 | 0 |
| 18 to 64 years | 15 | 5 | 10 | 25 | 10 | 10 | 165 | 80 | 85 | 60 | 35 | 25 |
| 65 years and over | 0 | 0 | 0 | 5 | 5 | 0 | 10 | 5 | 10 | 5 | 5 | 5 |
| Prevalence of low income based on the Low-income cut-offs, after tax (LICO-AT) (%) | 4.5 | 5.0 | 4.0 | 3.2 | 2.8 | 3.4 | 2.9 | 3.0 | 2.7 | 9.0 | 10.0 | 7.6 |
| 0 to 17 years (%) | x | x | x | 4.0 | 4.0 | x | 3.3 | 3.8 | 2.6 | 10.0 | 10.0 | 10.0 |
| 0 to 5 years (%) | x | x | x | x | x | x | 3.2 | 3.6 | 2.8 | 12.0 | 16.0 | x |
| 18 to 64 years (%) | 5.0 | 5.0 | 5.0 | 3.0 | 2.5 | 3.6 | 2.8 | 2.8 | 2.8 | 8.8 | 10.0 | 7.6 |
| 65 years and over (%) | x | x | x | x | x | x | 1.6 | 1.2 | 2.0 | 8.0 | x | x |
Total - Adjusted after-tax economic family income decile group for the population in private households - 100% data34 |
395 | 190 | 200 | 1,225 | 605 | 620 | 9,200 | 4,535 | 4,665 | 930 | 465 | 465 |
| In bottom half of the distribution | 130 | 65 | 65 | 235 | 105 | 130 | 2,535 | 1,220 | 1,310 | 370 | 195 | 175 |
| In bottom decile | 25 | 15 | 15 | 40 | 20 | 25 | 370 | 180 | 185 | 105 | 60 | 45 |
| In second decile | 20 | 10 | 10 | 80 | 35 | 45 | 405 | 180 | 225 | 85 | 45 | 40 |
| In third decile | 30 | 15 | 20 | 40 | 15 | 25 | 475 | 215 | 260 | 70 | 35 | 35 |
| In fourth decile | 20 | 10 | 5 | 25 | 15 | 15 | 610 | 305 | 310 | 55 | 25 | 25 |
| In fifth decile | 30 | 20 | 15 | 50 | 20 | 25 | 680 | 340 | 335 | 55 | 20 | 30 |
| In top half of the distribution | 270 | 125 | 140 | 990 | 500 | 490 | 6,665 | 3,310 | 3,355 | 560 | 270 | 290 |
| In sixth decile | 50 | 25 | 30 | 40 | 20 | 20 | 760 | 375 | 385 | 45 | 20 | 25 |
| In seventh decile | 50 | 15 | 30 | 85 | 45 | 40 | 930 | 450 | 485 | 65 | 35 | 30 |
| In eighth decile | 45 | 25 | 20 | 105 | 60 | 50 | 1,260 | 645 | 615 | 120 | 55 | 55 |
| In ninth decile | 65 | 25 | 40 | 175 | 90 | 85 | 1,615 | 810 | 805 | 100 | 45 | 55 |
| In top decile | 60 | 35 | 25 | 585 | 285 | 295 | 2,095 | 1,030 | 1,070 | 230 | 110 | 115 |
| Total - Inequality measures for the population in private households - 100% data35 | 395 | ... | ... | 1,225 | ... | ... | 9,200 | ... | ... | 930 | ... | ... |
| Gini index on adjusted household total income | 0.305 | ... | ... | 0.486 | ... | ... | 0.315 | ... | ... | 0.402 | ... | ... |
| Gini index on adjusted household market income | 0.386 | ... | ... | 0.527 | ... | ... | 0.369 | ... | ... | 0.461 | ... | ... |
| Gini index on adjusted household after-tax income | 0.268 | ... | ... | 0.418 | ... | ... | 0.280 | ... | ... | 0.358 | ... | ... |
| P90/P10 ratio on adjusted household after-tax income | 3.7 | ... | ... | 6.2 | ... | ... | 3.5 | ... | ... | 5.2 | ... | ... |
| Knowledge of official languages | ||||||||||||
| Total - Knowledge of official languages for the total population excluding institutional residents - 100% data36 | 395 | 195 | 200 | 1,225 | 605 | 620 | 9,200 | 4,535 | 4,665 | 930 | 465 | 465 |
| English only | 365 | 180 | 180 | 1,065 | 540 | 530 | 8,600 | 4,260 | 4,340 | 805 | 405 | 400 |
| French only | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 0 | 0 | 0 |
| English and French | 30 | 10 | 20 | 145 | 55 | 85 | 470 | 215 | 250 | 120 | 60 | 65 |
| Neither English nor French | 5 | 0 | 0 | 15 | 5 | 10 | 125 | 50 | 75 | 5 | 5 | 0 |
| First official language spoken | ||||||||||||
| Total - First official language spoken for the total population excluding institutional residents - 100% data37 | 395 | 195 | 200 | 1,225 | 605 | 620 | 9,200 | 4,535 | 4,665 | 930 | 465 | 465 |
| English | 380 | 185 | 195 | 1,195 | 590 | 600 | 8,920 | 4,400 | 4,525 | 905 | 445 | 455 |
| French | 10 | 5 | 5 | 10 | 5 | 10 | 120 | 65 | 50 | 20 | 15 | 5 |
| English and French | 0 | 0 | 0 | 5 | 0 | 5 | 30 | 20 | 15 | 0 | 0 | 0 |
| Neither English nor French | 5 | 0 | 0 | 10 | 5 | 10 | 125 | 50 | 75 | 5 | 5 | 0 |
| Mother tongue | ||||||||||||
| Total - Mother tongue for the total population excluding institutional residents - 100% data38 | 395 | 195 | 200 | 1,225 | 605 | 620 | 9,200 | 4,535 | 4,665 | 930 | 465 | 465 |
| Single responses | 385 | 185 | 195 | 1,185 | 590 | 595 | 8,855 | 4,370 | 4,490 | 895 | 450 | 445 |
| Official languages | 300 | 145 | 160 | 915 | 470 | 445 | 6,805 | 3,405 | 3,400 | 770 | 395 | 370 |
| English | 295 | 140 | 155 | 905 | 465 | 440 | 6,685 | 3,340 | 3,340 | 750 | 380 | 370 |
| French | 10 | 5 | 5 | 10 | 5 | 5 | 125 | 65 | 55 | 20 | 15 | 5 |
| Non-official languages | 80 | 40 | 40 | 270 | 120 | 150 | 2,055 | 960 | 1,090 | 125 | 55 | 70 |
| Indigenous languages39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
| 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 | 0 | 0 | 0 | 0 | 0 | 0 |
| Halkomelem | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Lillooet | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Ntlakapamux (Thompson) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Secwepemctsin (Shuswap) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Squamish | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Straits | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Syilx (Okanagan) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Salish languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Siouan languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Assiniboine | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Dakota | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Stoney | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Siouan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Tsimshian languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Gitxsan (Gitksan) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Nisga'a | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Tsimshian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Wakashan languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Haisla | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Heiltsuk | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Kwak'wala (Kwakiutl) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Nuu-chah-nulth (Nootka) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Wakashan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Indigenous languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Indigenous languages, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Non-Indigenous languages | 80 | 40 | 40 | 270 | 120 | 150 | 2,055 | 960 | 1,090 | 125 | 55 | 70 |
| Afro-Asiatic languages | 5 | 5 | 5 | 10 | 5 | 5 | 90 | 45 | 50 | 10 | 5 | 5 |
| 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 |
| Hausa | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Mina | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Coptic | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Cushitic languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Bilen | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Oromo | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Somali | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Cushitic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Semitic languages | 5 | 5 | 5 | 10 | 5 | 5 | 90 | 40 | 45 | 10 | 5 | 5 |
| Amharic | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 |
| Arabic | 5 | 5 | 5 | 10 | 5 | 5 | 80 | 35 | 40 | 10 | 5 | 5 |
| 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 |
| Harari | 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 |
| Maltese | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Tigrigna | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Semitic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Austro-Asiatic languages | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 20 | 25 | 0 | 0 | 0 |
| Khmer (Cambodian) | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 0 | 0 | 0 |
| Vietnamese | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 15 | 25 | 0 | 0 | 0 |
| Austro-Asiatic languages, n.i.e | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Austronesian languages | 15 | 5 | 10 | 5 | 0 | 0 | 350 | 150 | 195 | 5 | 0 | 5 |
| 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 | 5 | 5 | 0 | 0 | 0 | 0 |
| Fijian | 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 | 20 | 5 | 15 | 0 | 0 | 0 |
| Indonesian | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 |
| Kankanaey | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Kinaray-a | 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 |
| Merina | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Malagasy, n.o.s. | 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) | 15 | 5 | 10 | 5 | 0 | 0 | 305 | 135 | 175 | 5 | 0 | 5 |
| Waray-Waray | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
| Krio | 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 |
| Sango | 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 | 55 | 25 | 30 | 0 | 0 | 0 |
| Kannada | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 5 | 0 | 0 | 0 |
| Malayalam | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 10 | 0 | 0 | 0 |
| Tamil | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 10 | 15 | 0 | 0 | 0 |
| Telugu | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 0 | 0 | 0 |
| Tulu | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 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 |
| Hmong-Mien languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Indo-European languages | 40 | 20 | 20 | 150 | 70 | 80 | 1,055 | 515 | 535 | 60 | 25 | 35 |
| Albanian | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 |
| Armenian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Balto-Slavic languages | 20 | 10 | 5 | 40 | 20 | 20 | 260 | 125 | 130 | 25 | 10 | 20 |
| 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 | 20 | 10 | 5 | 40 | 15 | 20 | 260 | 125 | 130 | 25 | 10 | 20 |
| Belarusian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Bulgarian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Czech | 0 | 0 | 0 | 5 | 0 | 5 | 5 | 0 | 5 | 0 | 0 | 0 |
| Macedonian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Polish | 5 | 0 | 5 | 10 | 5 | 10 | 80 | 35 | 50 | 5 | 5 | 5 |
| Russian | 5 | 0 | 5 | 5 | 5 | 0 | 110 | 55 | 50 | 10 | 5 | 5 |
| Rusyn | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Serbo-Croatian | 0 | 0 | 0 | 10 | 5 | 5 | 30 | 15 | 15 | 5 | 5 | 5 |
| Bosnian | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 5 | 0 | 0 | 0 |
| Croatian | 0 | 0 | 0 | 10 | 5 | 0 | 10 | 10 | 5 | 0 | 0 | 0 |
| Serbian | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 5 | 5 | 5 |
| Serbo-Croatian, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Slovak | 0 | 0 | 0 | 5 | 5 | 5 | 10 | 5 | 0 | 0 | 0 | 0 |
| Slovene (Slovenian) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Ukrainian | 0 | 0 | 0 | 5 | 0 | 0 | 20 | 5 | 10 | 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 |
| Irish | 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 |
| Welsh | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Celtic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Germanic languages | 5 | 5 | 5 | 10 | 0 | 5 | 50 | 25 | 20 | 5 | 5 | 0 |
| Frisian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| High German languages | 0 | 0 | 5 | 10 | 0 | 5 | 15 | 10 | 10 | 5 | 5 | 0 |
| German | 0 | 0 | 5 | 10 | 0 | 5 | 15 | 10 | 10 | 5 | 5 | 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 | 5 | 5 | 0 | 0 | 0 | 0 | 35 | 20 | 15 | 0 | 0 | 0 |
| Afrikaans | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 |
| Dutch | 5 | 5 | 0 | 0 | 0 | 0 | 25 | 15 | 10 | 0 | 0 | 0 |
| Low German, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Low Saxon | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Plautdietsch | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Vlaams (Flemish) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Scandinavian languages | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 10 | 5 | 5 | 5 | 0 | 0 | 0 | 0 | 0 |
| Indo-Iranian languages | 5 | 0 | 5 | 50 | 20 | 30 | 350 | 175 | 175 | 10 | 5 | 5 |
| Indo-Aryan languages | 5 | 0 | 5 | 35 | 15 | 20 | 345 | 170 | 170 | 5 | 0 | 0 |
| Assamese | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Bengali | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 20 | 25 | 0 | 0 | 0 |
| Gujarati | 0 | 0 | 0 | 10 | 5 | 5 | 60 | 35 | 25 | 0 | 0 | 0 |
| Hindi | 0 | 0 | 0 | 10 | 5 | 5 | 65 | 25 | 35 | 0 | 0 | 0 |
| Kacchi | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Kashmiri | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Konkani | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Marathi | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 0 | 0 | 0 |
| Nepali | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Oriya languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Odia | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Oriya, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Punjabi (Panjabi) | 0 | 0 | 0 | 10 | 5 | 5 | 90 | 45 | 40 | 5 | 0 | 0 |
| Rohingya | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Sindhi | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Sinhala (Sinhalese) | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 5 | 0 | 0 | 0 |
| Urdu | 0 | 0 | 0 | 5 | 5 | 5 | 60 | 35 | 25 | 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 | 10 | 5 | 10 | 5 | 0 | 5 | 5 | 5 | 5 |
| Baluchi | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Kurdish | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Parsi | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Pashto | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Persian languages | 0 | 0 | 0 | 10 | 5 | 10 | 5 | 0 | 5 | 5 | 5 | 5 |
| Dari | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Iranian Persian | 0 | 0 | 0 | 10 | 0 | 5 | 5 | 0 | 5 | 5 | 0 | 5 |
| 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 | 10 | 5 | 5 | 40 | 20 | 20 | 385 | 185 | 200 | 10 | 5 | 10 |
| Catalan | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Italian | 0 | 0 | 0 | 5 | 5 | 5 | 15 | 10 | 5 | 0 | 0 | 0 |
| Portuguese | 5 | 0 | 0 | 0 | 0 | 0 | 20 | 5 | 15 | 0 | 0 | 0 |
| Romanian | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 35 | 20 | 0 | 0 | 0 |
| Spanish | 10 | 5 | 5 | 30 | 15 | 15 | 295 | 135 | 160 | 10 | 5 | 10 |
| 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 | 0 | 0 | 0 | 0 | 0 | 0 |
| Japanese | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 5 | 5 | 0 | 0 |
| Korean | 0 | 0 | 0 | 25 | 10 | 10 | 105 | 50 | 55 | 10 | 5 | 5 |
| Mongolian | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 5 | 0 | 0 | 0 |
| Niger-Congo languages | 0 | 0 | 0 | 5 | 5 | 5 | 35 | 15 | 20 | 0 | 0 | 0 |
| Akan (Twi) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Bamanankan | 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 |
| Éwé | 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 |
| Gikuyu | 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 |
| Luba-Kasai | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Mòoré | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Mwani | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Ndebele | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 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 | 10 | 5 | 0 | 0 | 0 | 0 |
| Soninke | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Sotho-Tswana languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Swahili | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Wojenaka | 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 | 5 | 5 | 0 | 0 | 0 |
| Niger-Congo languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 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 |
| Nuer | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Nilo-Saharan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| African, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Sign languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| American Sign Language | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 |
| Sino-Tibetan languages | 15 | 5 | 5 | 70 | 30 | 35 | 260 | 120 | 140 | 30 | 15 | 15 |
| Chinese languages | 15 | 5 | 5 | 70 | 30 | 35 | 255 | 125 | 135 | 30 | 15 | 15 |
| Hakka | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Mandarin | 5 | 0 | 0 | 45 | 20 | 20 | 185 | 90 | 100 | 20 | 10 | 10 |
| 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 | 5 | 0 | 0 | 0 | 0 | 0 |
| Wu (Shanghainese) | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 0 | 0 | 0 |
| Yue (Cantonese) | 5 | 5 | 0 | 25 | 10 | 15 | 60 | 30 | 35 | 10 | 5 | 5 |
| Chinese, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Chinese languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Tibeto-Burman languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Burmese | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Kuki-Chin languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Karenic languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| S'gaw Karen | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Karenic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Tibetan | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 |
| Lao | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Thai | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 5 | 0 | 5 | 5 | 5 | 5 | 0 | 0 | 0 |
| Azerbaijani | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 |
| Kazakh | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Turkish | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 5 | 0 | 0 | 20 | 10 | 15 | 0 | 0 | 0 |
| Estonian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Finnish | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Hungarian | 0 | 0 | 0 | 5 | 0 | 0 | 20 | 10 | 10 | 0 | 0 | 0 |
| Other languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Multiple responses | 10 | 5 | 5 | 35 | 15 | 25 | 340 | 165 | 175 | 35 | 15 | 20 |
| English and French | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 10 | 0 | 0 | 0 |
| English and non-official language(s) | 10 | 5 | 0 | 30 | 10 | 20 | 285 | 140 | 150 | 30 | 10 | 15 |
| French and non-official language(s) | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 |
| English, French and non-official language(s) | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 0 | 0 | 0 |
| Multiple non-official languages | 5 | 0 | 5 | 0 | 0 | 0 | 30 | 10 | 15 | 0 | 0 | 0 |
| All languages spoken at home | ||||||||||||
| Total - All languages spoken at home for the total population excluding institutional residents - 100% data40 | 395 | 195 | 200 | 1,225 | 605 | 620 | 9,200 | 4,535 | 4,665 | 930 | 465 | 465 |
| English | 315 | 150 | 165 | 950 | 480 | 470 | 6,850 | 3,400 | 3,450 | 785 | 395 | 385 |
| French | 5 | 5 | 0 | 0 | 0 | 0 | 20 | 10 | 10 | 10 | 10 | 5 |
| Non-official language | 20 | 5 | 15 | 65 | 30 | 30 | 600 | 290 | 310 | 30 | 20 | 15 |
| Indigenous39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Non-Indigenous | 20 | 5 | 15 | 65 | 30 | 30 | 600 | 290 | 310 | 30 | 20 | 15 |
| English and French | 5 | 0 | 0 | 10 | 5 | 10 | 70 | 40 | 30 | 15 | 10 | 5 |
| English and non-official language(s) | 50 | 25 | 20 | 180 | 85 | 100 | 1,575 | 760 | 815 | 85 | 35 | 45 |
| French and non-official language(s) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| English, French and non-official language(s) | 0 | 0 | 0 | 15 | 5 | 5 | 45 | 20 | 20 | 0 | 0 | 0 |
| Multiple non-official languages | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 10 | 25 | 0 | 0 | 0 |
| Language spoken most often at home | ||||||||||||
| Total - Language spoken most often at home for the total population excluding institutional residents - 100% data41 | 395 | 195 | 200 | 1,225 | 605 | 620 | 9,200 | 4,535 | 4,665 | 930 | 465 | 465 |
| Single responses | 390 | 190 | 200 | 1,165 | 580 | 590 | 8,835 | 4,350 | 4,485 | 915 | 460 | 455 |
| Official languages | 355 | 170 | 180 | 1,040 | 520 | 520 | 7,615 | 3,760 | 3,850 | 860 | 430 | 430 |
| English | 345 | 170 | 175 | 1,040 | 520 | 525 | 7,575 | 3,740 | 3,840 | 845 | 420 | 425 |
| French | 5 | 5 | 0 | 0 | 0 | 0 | 40 | 20 | 15 | 10 | 10 | 5 |
| Non-official languages | 35 | 15 | 20 | 125 | 60 | 65 | 1,220 | 585 | 630 | 50 | 25 | 30 |
| Indigenous languages39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
| 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 | 0 | 0 | 0 | 0 | 0 | 0 |
| Halkomelem | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Lillooet | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Ntlakapamux (Thompson) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Secwepemctsin (Shuswap) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Squamish | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Straits | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Syilx (Okanagan) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Salish languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Siouan languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Assiniboine | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Dakota | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Stoney | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Siouan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Tsimshian languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Gitxsan (Gitksan) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Nisga'a | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Tsimshian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Wakashan languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Haisla | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Heiltsuk | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Kwak'wala (Kwakiutl) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Nuu-chah-nulth (Nootka) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Wakashan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Indigenous languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Indigenous languages, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Non-Indigenous languages | 35 | 15 | 20 | 125 | 60 | 65 | 1,220 | 585 | 630 | 50 | 25 | 30 |
| Afro-Asiatic languages | 0 | 0 | 0 | 5 | 0 | 5 | 50 | 25 | 30 | 5 | 5 | 5 |
| 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 |
| Hausa | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Mina | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Coptic | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Cushitic languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Bilen | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Oromo | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Somali | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Cushitic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Semitic languages | 0 | 0 | 0 | 5 | 0 | 5 | 55 | 25 | 30 | 5 | 5 | 5 |
| Amharic | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Arabic | 0 | 0 | 0 | 5 | 0 | 5 | 45 | 20 | 25 | 5 | 5 | 5 |
| 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 |
| Harari | 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 |
| Maltese | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Tigrigna | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Semitic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Austro-Asiatic languages | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 5 | 5 | 0 | 0 | 0 |
| Khmer (Cambodian) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Vietnamese | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 5 | 5 | 0 | 0 | 0 |
| Austro-Asiatic languages, n.i.e | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Austronesian languages | 10 | 5 | 5 | 0 | 0 | 0 | 225 | 105 | 120 | 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 |
| Fijian | 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 | 5 | 5 | 5 | 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 |
| Kinaray-a | 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 |
| Merina | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Malagasy, n.o.s. | 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) | 10 | 5 | 5 | 0 | 0 | 0 | 215 | 100 | 110 | 0 | 0 | 0 |
| Waray-Waray | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
| Krio | 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 |
| Sango | 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 | 40 | 20 | 20 | 0 | 0 | 0 |
| Kannada | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Malayalam | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 10 | 0 | 0 | 0 |
| Tamil | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 5 | 0 | 0 | 0 |
| Telugu | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 0 | 0 | 0 |
| Tulu | 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 |
| Hmong-Mien languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Indo-European languages | 15 | 5 | 10 | 60 | 30 | 30 | 585 | 290 | 295 | 25 | 10 | 15 |
| 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 | 10 | 5 | 5 | 15 | 5 | 10 | 130 | 70 | 60 | 10 | 5 | 5 |
| 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 | 10 | 5 | 5 | 15 | 5 | 10 | 130 | 70 | 60 | 10 | 5 | 5 |
| Belarusian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Bulgarian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Czech | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 0 | 0 | 0 |
| Macedonian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Polish | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 15 | 20 | 0 | 0 | 0 |
| Russian | 0 | 0 | 0 | 5 | 0 | 5 | 75 | 40 | 35 | 5 | 5 | 0 |
| Rusyn | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Serbo-Croatian | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 5 | 5 | 5 | 5 |
| Bosnian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Croatian | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 0 | 0 | 0 |
| Serbian | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 5 | 5 | 5 |
| Serbo-Croatian, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Slovak | 0 | 0 | 0 | 5 | 0 | 5 | 5 | 5 | 0 | 0 | 0 | 0 |
| Slovene (Slovenian) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Ukrainian | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 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 |
| Irish | 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 |
| Welsh | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Celtic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Germanic languages | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 |
| German | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 |
| Afrikaans | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Dutch | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Indo-Iranian languages | 0 | 0 | 0 | 20 | 10 | 10 | 210 | 105 | 105 | 5 | 0 | 0 |
| Indo-Aryan languages | 0 | 0 | 0 | 10 | 5 | 10 | 200 | 100 | 105 | 5 | 0 | 0 |
| Assamese | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Bengali | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 10 | 20 | 0 | 0 | 0 |
| Gujarati | 0 | 0 | 0 | 0 | 0 | 5 | 35 | 20 | 20 | 0 | 0 | 0 |
| Hindi | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 10 | 15 | 0 | 0 | 0 |
| Kacchi | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Kashmiri | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Konkani | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Marathi | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Nepali | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Oriya languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Odia | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Oriya, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Punjabi (Panjabi) | 0 | 0 | 0 | 0 | 0 | 0 | 65 | 35 | 30 | 5 | 0 | 0 |
| Rohingya | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Sindhi | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Sinhala (Sinhalese) | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 5 | 0 | 0 | 0 |
| Urdu | 0 | 0 | 0 | 10 | 5 | 5 | 45 | 25 | 20 | 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 | 5 | 5 | 5 | 5 | 0 | 5 | 0 | 0 | 0 |
| Baluchi | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Kurdish | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Parsi | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Pashto | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Persian languages | 0 | 0 | 0 | 5 | 5 | 5 | 5 | 0 | 5 | 0 | 0 | 0 |
| Dari | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Iranian Persian | 0 | 0 | 0 | 5 | 5 | 5 | 5 | 0 | 5 | 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 | 5 | 5 | 0 | 20 | 10 | 10 | 240 | 110 | 125 | 10 | 5 | 5 |
| Catalan | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Italian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Portuguese | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 10 | 0 | 0 | 0 |
| Romanian | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 15 | 10 | 0 | 0 | 0 |
| Spanish | 5 | 5 | 0 | 20 | 10 | 10 | 205 | 100 | 110 | 10 | 5 | 5 |
| 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 | 0 | 0 | 0 | 0 | 0 | 0 |
| Japanese | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 5 | 0 | 0 | 0 |
| Korean | 0 | 0 | 0 | 10 | 5 | 5 | 95 | 45 | 50 | 5 | 0 | 0 |
| Mongolian | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 5 | 0 | 0 | 0 |
| Niger-Congo languages | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 5 | 10 | 0 | 0 | 0 |
| Akan (Twi) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Bamanankan | 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 |
| Éwé | 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 |
| Gikuyu | 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 |
| Luba-Kasai | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Mòoré | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Mwani | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Ndebele | 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 | 10 | 5 | 0 | 0 | 0 | 0 |
| Soninke | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Sotho-Tswana languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Swahili | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Wojenaka | 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 | 0 | 0 | 0 | 0 | 0 | 0 |
| Niger-Congo languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Nilo-Saharan languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Dinka | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Nuer | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Nilo-Saharan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| African, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Sign languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| American Sign Language | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 |
| Sino-Tibetan languages | 5 | 5 | 5 | 50 | 20 | 25 | 160 | 75 | 85 | 10 | 5 | 5 |
| Chinese languages | 5 | 5 | 5 | 50 | 20 | 25 | 160 | 75 | 85 | 10 | 5 | 5 |
| Hakka | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Mandarin | 0 | 0 | 0 | 30 | 15 | 20 | 125 | 65 | 65 | 5 | 5 | 5 |
| 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 | 15 | 10 | 10 | 35 | 15 | 20 | 0 | 0 | 0 |
| Chinese, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Chinese languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Tibeto-Burman languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Burmese | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Kuki-Chin languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Karenic languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| S'gaw Karen | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Karenic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Tibetan | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 |
| Lao | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Thai | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 |
| Azerbaijani | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Kazakh | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Turkish | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 20 | 5 | 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 | 20 | 5 | 10 | 0 | 0 | 0 |
| Other languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Multiple responses | 5 | 5 | 0 | 55 | 25 | 30 | 370 | 185 | 180 | 20 | 10 | 5 |
| English and French | 0 | 0 | 0 | 10 | 5 | 10 | 15 | 5 | 5 | 0 | 0 | 0 |
| English and non-official language(s) | 5 | 5 | 0 | 50 | 20 | 25 | 350 | 180 | 175 | 15 | 5 | 5 |
| French and non-official language(s) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 0 | 5 | 0 | 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 | 395 | 195 | 200 | 1,225 | 605 | 620 | 9,200 | 4,530 | 4,665 | 930 | 465 | 465 |
| None | 345 | 170 | 180 | 1,065 | 530 | 530 | 7,755 | 3,845 | 3,910 | 845 | 425 | 420 |
| English | 15 | 5 | 5 | 50 | 25 | 30 | 510 | 250 | 255 | 25 | 5 | 15 |
| French | 5 | 0 | 0 | 10 | 5 | 5 | 55 | 30 | 30 | 10 | 5 | 5 |
| Non-official language | 20 | 10 | 10 | 80 | 40 | 45 | 710 | 320 | 390 | 50 | 20 | 25 |
| Indigenous39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Non-Indigenous | 20 | 10 | 10 | 80 | 40 | 45 | 710 | 320 | 390 | 50 | 20 | 25 |
| English and French | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 |
| English and non-official language(s) | 0 | 0 | 0 | 10 | 5 | 5 | 85 | 40 | 45 | 0 | 0 | 0 |
| French and non-official language(s) | 0 | 0 | 0 | 5 | 0 | 0 | 20 | 10 | 10 | 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 | 10 | 5 | 5 | 5 | 0 | 5 | 60 | 30 | 25 | 5 | 0 | 0 |
| Knowledge of languages |
||||||||||||
| Total - Knowledge of languages for the population in private households - 25% sample data43 | 475 | 225 | 245 | 1,275 | 620 | 650 | 9,215 | 4,560 | 4,660 | 915 | 455 | 465 |
| Official languages | 475 | 225 | 245 | 1,265 | 610 | 650 | 9,110 | 4,520 | 4,595 | 910 | 450 | 465 |
| English | 475 | 225 | 245 | 1,265 | 610 | 650 | 9,110 | 4,520 | 4,595 | 910 | 450 | 465 |
| French | 55 | 20 | 40 | 155 | 60 | 100 | 420 | 205 | 220 | 135 | 55 | 75 |
| Non-official languages | 55 | 40 | 15 | 370 | 165 | 210 | 2,695 | 1,290 | 1,405 | 210 | 85 | 125 |
| Indigenous languages39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
| 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 | 0 | 0 | 0 | 0 | 0 | 0 |
| Halkomelem | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Lillooet | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Ntlakapamux (Thompson) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Secwepemctsin (Shuswap) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Squamish | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Straits | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Syilx (Okanagan) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Salish languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Siouan languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Assiniboine | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Dakota | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Stoney | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Siouan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Tsimshian languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Gitxsan (Gitksan) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Nisga'a | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Tsimshian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Wakashan languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Haisla | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Heiltsuk | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Kwak'wala (Kwakiutl) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Nuu-chah-nulth (Nootka) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Wakashan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Indigenous languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Indigenous languages, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Non-Indigenous languages | 55 | 40 | 15 | 370 | 165 | 210 | 2,695 | 1,290 | 1,405 | 205 | 85 | 120 |
| Afro-Asiatic languages | 0 | 0 | 0 | 20 | 15 | 0 | 185 | 95 | 95 | 20 | 15 | 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 |
| Hausa | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Mina | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Coptic | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Cushitic languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Bilen | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Oromo | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Somali | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Cushitic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Semitic languages | 0 | 0 | 0 | 20 | 15 | 0 | 185 | 95 | 95 | 20 | 15 | 0 |
| Amharic | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Arabic | 0 | 0 | 0 | 20 | 15 | 0 | 135 | 65 | 75 | 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 |
| Harari | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Hebrew | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 15 | 10 | 0 | 0 | 0 |
| Maltese | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Tigrigna | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Semitic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Austro-Asiatic languages | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 15 | 0 | 0 | 0 |
| Khmer (Cambodian) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Vietnamese | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 15 | 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 | 495 | 225 | 270 | 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 | 30 | 15 | 10 | 0 | 0 | 0 |
| Fijian | 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 | 50 | 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 |
| Kinaray-a | 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 |
| Merina | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Malagasy, n.o.s. | 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 | 480 | 220 | 260 | 0 | 0 | 0 |
| Waray-Waray | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
| Krio | 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 |
| Sango | 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 | 110 | 45 | 60 | 0 | 0 | 0 |
| Kannada | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 15 | 10 | 0 | 0 | 0 |
| Malayalam | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 10 | 10 | 0 | 0 | 0 |
| Tamil | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 10 | 15 | 0 | 0 | 0 |
| Telugu | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 15 | 15 | 0 | 0 | 0 |
| Tulu | 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 |
| Hmong-Mien languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Indo-European languages | 40 | 30 | 10 | 255 | 120 | 140 | 1,480 | 710 | 765 | 110 | 40 | 75 |
| 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 | 15 | 0 | 10 | 40 | 15 | 25 | 340 | 165 | 170 | 40 | 10 | 25 |
| 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 | 15 | 0 | 10 | 40 | 15 | 25 | 340 | 165 | 170 | 40 | 10 | 25 |
| Belarusian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Bulgarian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Czech | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Macedonian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Polish | 0 | 0 | 0 | 0 | 0 | 0 | 85 | 30 | 55 | 0 | 0 | 0 |
| Russian | 0 | 0 | 0 | 0 | 0 | 0 | 180 | 110 | 75 | 25 | 0 | 15 |
| Rusyn | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Serbo-Croatian | 0 | 0 | 0 | 15 | 0 | 15 | 60 | 30 | 30 | 0 | 0 | 0 |
| Bosnian | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 15 | 10 | 0 | 0 | 0 |
| Croatian | 0 | 0 | 0 | 10 | 0 | 10 | 20 | 0 | 15 | 0 | 0 | 0 |
| Serbian | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0 | 15 | 0 | 0 | 0 |
| Serbo-Croatian, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Slovak | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Slovene (Slovenian) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Ukrainian | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 10 | 20 | 15 | 0 | 15 |
| 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 |
| Irish | 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 |
| Welsh | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Celtic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Germanic languages | 0 | 0 | 0 | 25 | 15 | 10 | 70 | 50 | 20 | 0 | 0 | 0 |
| Frisian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| High German languages | 0 | 0 | 0 | 25 | 10 | 10 | 40 | 35 | 0 | 0 | 0 | 0 |
| German | 0 | 0 | 0 | 25 | 10 | 10 | 40 | 35 | 0 | 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 | 40 | 30 | 10 | 0 | 0 | 0 |
| Afrikaans | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 0 | 0 | 0 |
| Dutch | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 15 | 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 | 0 | 0 | 0 | 0 | 0 | 0 |
| Indo-Iranian languages | 0 | 0 | 0 | 100 | 50 | 45 | 500 | 240 | 260 | 25 | 0 | 15 |
| Indo-Aryan languages | 0 | 0 | 0 | 70 | 35 | 30 | 475 | 230 | 250 | 25 | 0 | 15 |
| Assamese | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Bengali | 0 | 0 | 0 | 0 | 0 | 0 | 75 | 30 | 45 | 0 | 0 | 0 |
| Gujarati | 0 | 0 | 0 | 0 | 0 | 0 | 90 | 55 | 40 | 15 | 0 | 10 |
| Hindi | 0 | 0 | 0 | 60 | 35 | 30 | 240 | 115 | 125 | 0 | 0 | 0 |
| Kacchi | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Kashmiri | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Konkani | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Marathi | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 10 | 15 | 0 | 0 | 0 |
| Nepali | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Oriya languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Odia | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Oriya, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Punjabi (Panjabi) | 0 | 0 | 0 | 30 | 15 | 15 | 120 | 55 | 65 | 10 | 0 | 10 |
| Rohingya | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 130 | 65 | 65 | 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 | 30 | 15 | 15 | 25 | 10 | 10 | 0 | 0 | 0 |
| Baluchi | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Kurdish | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Parsi | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Pashto | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Persian languages | 0 | 0 | 0 | 30 | 15 | 15 | 15 | 10 | 10 | 0 | 0 | 0 |
| Dari | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Iranian Persian | 0 | 0 | 0 | 30 | 15 | 15 | 0 | 0 | 0 | 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 | 10 | 10 | 0 | 80 | 40 | 40 | 590 | 260 | 330 | 50 | 20 | 30 |
| Catalan | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Italian | 0 | 0 | 0 | 20 | 10 | 10 | 30 | 0 | 20 | 0 | 0 | 0 |
| Portuguese | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 15 | 10 | 0 | 0 | 0 |
| Romanian | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 20 | 15 | 0 | 0 | 0 |
| Spanish | 10 | 10 | 0 | 55 | 25 | 30 | 510 | 225 | 285 | 50 | 20 | 30 |
| 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 | 0 | 0 | 0 | 0 | 0 | 0 |
| Japanese | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 10 | 25 | 0 | 0 | 0 |
| Korean | 0 | 0 | 0 | 30 | 10 | 20 | 30 | 10 | 20 | 10 | 0 | 0 |
| Mongolian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Niger-Congo languages | 0 | 0 | 0 | 0 | 0 | 0 | 105 | 45 | 60 | 10 | 0 | 10 |
| Akan (Twi) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Bamanankan | 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 |
| Éwé | 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 |
| Gikuyu | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Igbo | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 10 | 15 | 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 |
| Luba-Kasai | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Mòoré | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Mwani | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Ndebele | 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 |
| Soninke | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Sotho-Tswana languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Swahili | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 10 | 0 | 0 | 0 |
| Wojenaka | 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 | 20 | 0 | 15 | 0 | 0 | 0 |
| Niger-Congo languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 20 | 25 | 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 |
| Nuer | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Nilo-Saharan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| African, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Sign languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| American Sign Language | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 |
| Sino-Tibetan languages | 0 | 0 | 0 | 60 | 25 | 35 | 340 | 195 | 150 | 45 | 20 | 25 |
| Chinese languages | 0 | 0 | 0 | 60 | 25 | 35 | 340 | 195 | 150 | 45 | 20 | 25 |
| Hakka | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Mandarin | 0 | 0 | 0 | 60 | 25 | 35 | 275 | 150 | 120 | 40 | 20 | 20 |
| 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 | 70 | 45 | 30 | 15 | 0 | 10 |
| Chinese, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Chinese languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Tibeto-Burman languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Burmese | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Kuki-Chin languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Karenic languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| S'gaw Karen | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Karenic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Tibetan | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 |
| Lao | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Thai | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 |
| Azerbaijani | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Kazakh | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Turkish | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 20 | 10 | 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 | 15 | 10 | 10 | 0 | 0 | 0 |
| Other languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Indigenous population | ||||||||||||
| Total - Indigenous identity for the population in private households - 25% sample data44 | 470 | 230 | 250 | 1,270 | 625 | 650 | 9,215 | 4,555 | 4,660 | 920 | 450 | 465 |
| Indigenous identity45 | 0 | 0 | 0 | 20 | 0 | 15 | 295 | 155 | 135 | 30 | 20 | 15 |
| Single Indigenous responses46 | 0 | 0 | 0 | 20 | 0 | 15 | 270 | 145 | 125 | 30 | 15 | 15 |
| First Nations (North American Indian) | 0 | 0 | 0 | 0 | 0 | 0 | 75 | 40 | 35 | 15 | 10 | 0 |
| Métis | 0 | 0 | 0 | 15 | 0 | 15 | 190 | 105 | 85 | 15 | 0 | 10 |
| Inuk (Inuit) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Multiple Indigenous responses47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Indigenous responses not included elsewhere48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Non-Indigenous identity | 470 | 230 | 250 | 1,255 | 620 | 635 | 8,925 | 4,405 | 4,520 | 880 | 435 | 450 |
| Total - Registered or Treaty Indian status for the population in private households - 25% sample data44 | 470 | 230 | 250 | 1,270 | 625 | 650 | 9,215 | 4,555 | 4,660 | 920 | 450 | 465 |
| Registered or Treaty Indian49 | 0 | 0 | 0 | 0 | 0 | 0 | 70 | 45 | 30 | 20 | 10 | 0 |
| Not a Registered or Treaty Indian | 470 | 230 | 250 | 1,270 | 620 | 650 | 9,150 | 4,515 | 4,630 | 900 | 440 | 460 |
| Household characteristics | ||||||||||||
| Total - Private households by tenure - 25% sample data50 | 160 | ... | ... | 415 | ... | ... | 3,200 | ... | ... | 520 | ... | ... |
| Owner | 140 | ... | ... | 390 | ... | ... | 2,925 | ... | ... | 250 | ... | ... |
| Renter | 15 | ... | ... | 25 | ... | ... | 275 | ... | ... | 270 | ... | ... |
| 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 | 160 | ... | ... | 415 | ... | ... | 3,200 | ... | ... | 520 | ... | ... |
| Condominium | 0 | ... | ... | 75 | ... | ... | 780 | ... | ... | 280 | ... | ... |
| Not condominium | 160 | ... | ... | 340 | ... | ... | 2,420 | ... | ... | 240 | ... | ... |
| Total - Occupied private dwellings by number of bedrooms - 25% sample data52 | 160 | ... | ... | 415 | ... | ... | 3,200 | ... | ... | 520 | ... | ... |
| No bedrooms | 0 | ... | ... | 0 | ... | ... | 0 | ... | ... | 0 | ... | ... |
| 1 bedroom | 0 | ... | ... | 0 | ... | ... | 40 | ... | ... | 145 | ... | ... |
| 2 bedrooms | 0 | ... | ... | 10 | ... | ... | 695 | ... | ... | 205 | ... | ... |
| 3 bedrooms | 70 | ... | ... | 155 | ... | ... | 1,445 | ... | ... | 95 | ... | ... |
| 4 or more bedrooms | 85 | ... | ... | 240 | ... | ... | 1,020 | ... | ... | 65 | ... | ... |
| Total - Occupied private dwellings by number of rooms - 25% sample data53 | 160 | ... | ... | 415 | ... | ... | 3,200 | ... | ... | 520 | ... | ... |
| 1 to 4 rooms | 0 | ... | ... | 15 | ... | ... | 685 | ... | ... | 310 | ... | ... |
| 5 rooms | 10 | ... | ... | 35 | ... | ... | 490 | ... | ... | 60 | ... | ... |
| 6 rooms | 15 | ... | ... | 50 | ... | ... | 570 | ... | ... | 70 | ... | ... |
| 7 rooms | 30 | ... | ... | 35 | ... | ... | 405 | ... | ... | 15 | ... | ... |
| 8 or more rooms | 100 | ... | ... | 275 | ... | ... | 1,045 | ... | ... | 75 | ... | ... |
| Average number of rooms per dwelling | 8.1 | ... | ... | 8.7 | ... | ... | 6.6 | ... | ... | 4.7 | ... | ... |
| Total - Private households by number of persons per room - 25% sample data54 | 160 | ... | ... | 415 | ... | ... | 3,200 | ... | ... | 520 | ... | ... |
| One person or fewer per room | 155 | ... | ... | 410 | ... | ... | 3,125 | ... | ... | 520 | ... | ... |
| More than one person per room | 0 | ... | ... | 0 | ... | ... | 80 | ... | ... | 0 | ... | ... |
| Total - Private households by housing suitability - 25% sample data55 | 160 | ... | ... | 415 | ... | ... | 3,200 | ... | ... | 520 | ... | ... |
| Suitable | 150 | ... | ... | 410 | ... | ... | 3,125 | ... | ... | 500 | ... | ... |
| Not suitable | 0 | ... | ... | 0 | ... | ... | 75 | ... | ... | 15 | ... | ... |
| Total - Occupied private dwellings by period of construction - 25% sample data56 | 160 | ... | ... | 415 | ... | ... | 3,200 | ... | ... | 520 | ... | ... |
| 1960 or before | 0 | ... | ... | 0 | ... | ... | 15 | ... | ... | 45 | ... | ... |
| 1961 to 1980 | 150 | ... | ... | 0 | ... | ... | 0 | ... | ... | 70 | ... | ... |
| 1981 to 1990 | 0 | ... | ... | 0 | ... | ... | 0 | ... | ... | 25 | ... | ... |
| 1991 to 2000 | 0 | ... | ... | 60 | ... | ... | 10 | ... | ... | 50 | ... | ... |
| 2001 to 2005 | 0 | ... | ... | 280 | ... | ... | 20 | ... | ... | 145 | ... | ... |
| 2006 to 2010 | 0 | ... | ... | 60 | ... | ... | 310 | ... | ... | 55 | ... | ... |
| 2011 to 2015 | 0 | ... | ... | 10 | ... | ... | 1,780 | ... | ... | 80 | ... | ... |
| 2016 to 202157 | 0 | ... | ... | 0 | ... | ... | 1,050 | ... | ... | 40 | ... | ... |
| Total - Occupied private dwellings by dwelling condition - 25% sample data58 | 160 | ... | ... | 415 | ... | ... | 3,200 | ... | ... | 520 | ... | ... |
| Only regular maintenance and minor repairs needed | 150 | ... | ... | 405 | ... | ... | 3,195 | ... | ... | 485 | ... | ... |
| Major repairs needed | 0 | ... | ... | 0 | ... | ... | 10 | ... | ... | 30 | ... | ... |
| Total - Private households by number of household maintainers - 25% sample data59 | 160 | ... | ... | 415 | ... | ... | 3,200 | ... | ... | 520 | ... | ... |
| One-maintainer household | 80 | ... | ... | 140 | ... | ... | 1,155 | ... | ... | 350 | ... | ... |
| Two-maintainer household | 65 | ... | ... | 260 | ... | ... | 1,935 | ... | ... | 145 | ... | ... |
| Three-or-more-maintainer household | 15 | ... | ... | 10 | ... | ... | 120 | ... | ... | 20 | ... | ... |
| Total - Private households by age of primary household maintainers - 25% sample data60 | 160 | ... | ... | 415 | ... | ... | 3,200 | ... | ... | 520 | ... | ... |
| 15 to 24 years | 0 | ... | ... | 0 | ... | ... | 40 | ... | ... | 30 | ... | ... |
| 25 to 34 years | 15 | ... | ... | 15 | ... | ... | 590 | ... | ... | 175 | ... | ... |
| 35 to 44 years | 30 | ... | ... | 45 | ... | ... | 975 | ... | ... | 125 | ... | ... |
| 45 to 54 years | 35 | ... | ... | 130 | ... | ... | 735 | ... | ... | 90 | ... | ... |
| 55 to 64 years | 50 | ... | ... | 110 | ... | ... | 470 | ... | ... | 40 | ... | ... |
| 65 to 74 years | 15 | ... | ... | 70 | ... | ... | 295 | ... | ... | 30 | ... | ... |
| 75 to 84 years | 0 | ... | ... | 30 | ... | ... | 95 | ... | ... | 15 | ... | ... |
| 85 years and over | 10 | ... | ... | 10 | ... | ... | 0 | ... | ... | 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 | 155 | ... | ... | 410 | ... | ... | 3,185 | ... | ... | 515 | ... | ... |
| Spending less than 30% of income on shelter costs | 125 | ... | ... | 335 | ... | ... | 2,645 | ... | ... | 400 | ... | ... |
| Spending 30% or more of income on shelter costs | 35 | ... | ... | 80 | ... | ... | 545 | ... | ... | 120 | ... | ... |
| 30% to less than 100% | 25 | ... | ... | 80 | ... | ... | 495 | ... | ... | 85 | ... | ... |
| Total - Occupied private dwellings by housing indicators - 25% sample data62 | 160 | ... | ... | 410 | ... | ... | 3,200 | ... | ... | 520 | ... | ... |
| Total - Households 'spending 30% or more of income on shelter costs' or 'not suitable' or 'major repairs needed' | 35 | ... | ... | 80 | ... | ... | 605 | ... | ... | 155 | ... | ... |
| Spending 30% or more of income on shelter costs only | 30 | ... | ... | 70 | ... | ... | 525 | ... | ... | 110 | ... | ... |
| Not suitable only | 0 | ... | ... | 0 | ... | ... | 60 | ... | ... | 10 | ... | ... |
| Major repairs needed only | 0 | ... | ... | 0 | ... | ... | 0 | ... | ... | 15 | ... | ... |
| 'Spending 30% or more of income on shelter costs' and 'not suitable' | 0 | ... | ... | 0 | ... | ... | 15 | ... | ... | 0 | ... | ... |
| 'Spending 30% or more of income on shelter costs' and 'major repairs needed' | 0 | ... | ... | 0 | ... | ... | 10 | ... | ... | 0 | ... | ... |
| 'Not suitable' and 'major repairs needed' | 0 | ... | ... | 0 | ... | ... | 0 | ... | ... | 0 | ... | ... |
| 'Spending 30% or more of income on shelter costs' and 'not suitable' and 'major repairs needed' | 0 | ... | ... | 0 | ... | ... | 0 | ... | ... | 0 | ... | ... |
| Acceptable housing | 120 | ... | ... | 330 | ... | ... | 2,595 | ... | ... | 365 | ... | ... |
| 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 | 150 | ... | ... | 415 | ... | ... | 3,135 | ... | ... | 480 | ... | ... |
| In core need | 0 | ... | ... | 20 | ... | ... | 125 | ... | ... | 45 | ... | ... |
| Not in core need | 140 | ... | ... | 390 | ... | ... | 3,005 | ... | ... | 435 | ... | ... |
| Total - Owner households in non-farm, non-reserve private dwellings - 25% sample data | 140 | ... | ... | 390 | ... | ... | 2,925 | ... | ... | 255 | ... | ... |
| % of owner households with a mortgage64 | 64.3 | ... | ... | 51.3 | ... | ... | 81.9 | ... | ... | 76.5 | ... | ... |
| % of owner households spending 30% or more of its income on shelter costs61 | 17.9 | ... | ... | 16.7 | ... | ... | 15.1 | ... | ... | 11.8 | ... | ... |
| % in core housing need63 | 0.0 | ... | ... | 5.1 | ... | ... | 2.8 | ... | ... | 0.0 | ... | ... |
| Median monthly shelter costs for owned dwellings ($)65 | 1,960 | ... | ... | 1,680 | ... | ... | 2,240 | ... | ... | 2,040 | ... | ... |
| Average monthly shelter costs for owned dwellings ($)65 | 1,720 | ... | ... | 2,160 | ... | ... | 2,306 | ... | ... | 2,080 | ... | ... |
| Median value of dwellings ($)66 | 460,000 | ... | ... | 750,000 | ... | ... | 552,000 | ... | ... | 528,000 | ... | ... |
| Average value of dwellings ($)66 | 460,000 | ... | ... | 796,000 | ... | ... | 583,500 | ... | ... | 556,000 | ... | ... |
| Total - Tenant households in non-farm, non-reserve private dwellings - 25% sample data | 20 | ... | ... | 25 | ... | ... | 270 | ... | ... | 265 | ... | ... |
| % of tenant households in subsidized housing67 | 0.0 | ... | ... | 0.0 | ... | ... | 0.0 | ... | ... | 0.0 | ... | ... |
| % of tenant households spending 30% or more of its income on shelter costs61 | 0.0 | ... | ... | 0.0 | ... | ... | 38.9 | ... | ... | 32.1 | ... | ... |
| % in core housing need63 | 0.0 | ... | ... | 0.0 | ... | ... | 17.0 | ... | ... | 16.7 | ... | ... |
| Median monthly shelter costs for rented dwellings ($)65 | x | ... | ... | x | ... | ... | 1,860 | ... | ... | 1,250 | ... | ... |
| Average monthly shelter costs for rented dwellings ($)65 | x | ... | ... | 2,800 | ... | ... | 1,840 | ... | ... | 1,430 | ... | ... |
| Total - Households living in a dwelling provided by the local government, First Nation or Indian band in non-farm private dwellings - 25% sample data | 0 | ... | ... | 0 | ... | ... | 0 | ... | ... | 0 | ... | ... |
| % of households living in a dwelling provided by the local government, First Nation or Indian band spending more than 30% on shelter costs61 | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| Median monthly shelter costs for dwellings provided by local government, First Nation or Indian band ($)65 | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| Average monthly shelter costs for dwellings provided by local government, First Nation or Indian band ($)65 | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| Indigenous ancestry | ||||||||||||
| Total - Indigenous ancestry for the population in private households - 25% sample data68 | 470 | 225 | 245 | 1,275 | 625 | 650 | 9,220 | 4,560 | 4,655 | 915 | 450 | 465 |
| Indigenous ancestry (only)69 | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 40 | 20 | 15 | 0 | 0 |
| Single Indigenous ancestry (only)70 | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 40 | 20 | 15 | 0 | 0 |
| First Nations (North American Indian) single ancestry | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 20 | 15 | 15 | 0 | 0 |
| Métis single ancestry | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 15 | 0 | 0 | 0 | 0 |
| Inuit single ancestry | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Multiple Indigenous ancestries (only)71 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| First Nations (North American Indian) and Métis ancestry only | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 |
| First Nations (North American Indian) and Métis and Inuit ancestry only | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Indigenous and non-Indigenous ancestries72 | 0 | 0 | 0 | 0 | 0 | 0 | 255 | 125 | 130 | 15 | 0 | 15 |
| Single Indigenous and non-Indigenous ancestries73 | 0 | 0 | 0 | 0 | 0 | 0 | 255 | 125 | 130 | 15 | 0 | 15 |
| First Nations (North American Indian) and non-Indigenous ancestry only | 0 | 0 | 0 | 0 | 0 | 0 | 165 | 80 | 80 | 15 | 0 | 10 |
| Métis and non-Indigenous ancestry only | 0 | 0 | 0 | 0 | 0 | 0 | 95 | 45 | 45 | 10 | 0 | 0 |
| Inuit and non-Indigenous ancestry only | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Multiple Indigenous and non-Indigenous ancestries74 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| First Nations (North American Indian) and Métis and non-Indigenous ancestry only | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| First Nations (North American Indian) and Inuit and non-Indigenous ancestry only | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Métis and Inuit and non-Indigenous ancestry only | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| First Nations (North American Indian) and Métis and Inuit and non-Indigenous ancestry only | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Non-Indigenous ancestry only75 | 470 | 225 | 245 | 1,250 | 620 | 630 | 8,900 | 4,395 | 4,505 | 885 | 435 | 450 |
| Citizenship | ||||||||||||
| Total - Citizenship for the population in private households - 25% sample data76 | 475 | 225 | 245 | 1,275 | 625 | 650 | 9,220 | 4,560 | 4,660 | 915 | 450 | 460 |
| Canadian citizens77 | 445 | 215 | 225 | 1,205 | 600 | 605 | 8,620 | 4,295 | 4,325 | 840 | 405 | 430 |
| Canadian citizens aged under 18 | 135 | 55 | 80 | 265 | 130 | 130 | 2,555 | 1,315 | 1,245 | 110 | 70 | 50 |
| Canadian citizens aged 18 and over | 310 | 160 | 150 | 945 | 470 | 475 | 6,060 | 2,980 | 3,080 | 725 | 340 | 385 |
| Not Canadian citizens78 | 30 | 10 | 20 | 65 | 25 | 40 | 600 | 265 | 330 | 75 | 45 | 35 |
| Immigrant status and period of immigration | ||||||||||||
| Total - Immigrant status and period of immigration for the population in private households - 25% sample data79 | 475 | 225 | 245 | 1,275 | 625 | 650 | 9,220 | 4,560 | 4,660 | 915 | 450 | 460 |
| Non-immigrants80 | 405 | 180 | 220 | 925 | 465 | 460 | 6,625 | 3,335 | 3,290 | 750 | 385 | 375 |
| Immigrants81 | 60 | 35 | 25 | 345 | 160 | 185 | 2,550 | 1,210 | 1,345 | 135 | 50 | 80 |
| Before 1980 | 0 | 0 | 0 | 65 | 25 | 35 | 175 | 50 | 120 | 35 | 10 | 25 |
| 1980 to 1990 | 30 | 15 | 20 | 45 | 15 | 30 | 205 | 120 | 90 | 0 | 0 | 0 |
| 1991 to 2000 | 0 | 0 | 0 | 35 | 25 | 15 | 345 | 160 | 185 | 15 | 0 | 10 |
| 2001 to 2010 | 15 | 10 | 0 | 130 | 70 | 55 | 880 | 430 | 450 | 45 | 25 | 20 |
| 2011 to 202182 | 10 | 0 | 0 | 75 | 30 | 45 | 950 | 445 | 505 | 35 | 15 | 15 |
| 2011 to 2015 | 10 | 0 | 0 | 15 | 0 | 15 | 585 | 265 | 315 | 10 | 10 | 0 |
| 2016 to 2021 | 0 | 0 | 0 | 55 | 25 | 35 | 365 | 180 | 185 | 20 | 10 | 15 |
| Non-permanent residents83 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 15 | 25 | 30 | 20 | 10 |
| Age at immigration | ||||||||||||
| Total - Age at immigration for the immigrant population in private households - 25% sample data84 | 60 | 35 | 25 | 350 | 160 | 185 | 2,555 | 1,205 | 1,345 | 135 | 50 | 80 |
| Under 5 years | 0 | 0 | 0 | 50 | 30 | 20 | 280 | 130 | 145 | 15 | 0 | 10 |
| 5 to 14 years | 15 | 0 | 15 | 35 | 15 | 20 | 390 | 205 | 185 | 25 | 15 | 10 |
| 15 to 24 years | 0 | 0 | 0 | 50 | 10 | 40 | 450 | 160 | 290 | 25 | 10 | 15 |
| 25 to 44 years | 25 | 15 | 10 | 165 | 80 | 85 | 1,235 | 605 | 635 | 55 | 15 | 40 |
| 45 years and over | 10 | 10 | 0 | 45 | 20 | 20 | 200 | 100 | 100 | 10 | 0 | 10 |
| Selected places of birth for the immigrant population | ||||||||||||
| Total - Place of birth for the immigrant population in private households - 25% sample data85 | 60 | 35 | 25 | 350 | 160 | 185 | 2,555 | 1,205 | 1,345 | 135 | 50 | 80 |
| Americas | 35 | 20 | 15 | 30 | 10 | 20 | 470 | 210 | 260 | 20 | 10 | 15 |
| Brazil | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Colombia | 0 | 0 | 0 | 0 | 0 | 0 | 65 | 20 | 40 | 0 | 0 | 0 |
| El Salvador | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Guyana | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Haiti | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Jamaica | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 0 | 0 | 0 |
| Mexico | 0 | 0 | 0 | 0 | 0 | 0 | 65 | 30 | 35 | 0 | 0 | 0 |
| Peru | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 10 | 0 | 0 | 0 |
| Trinidad and Tobago | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| United States of America | 25 | 10 | 15 | 15 | 10 | 10 | 150 | 75 | 80 | 15 | 10 | 10 |
| Other places of birth in Americas | 0 | 0 | 0 | 0 | 0 | 0 | 150 | 70 | 80 | 0 | 0 | 0 |
| Europe | 10 | 0 | 0 | 90 | 40 | 50 | 560 | 255 | 310 | 40 | 15 | 20 |
| Bosnia and Herzegovina | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 10 | 20 | 0 | 0 | 0 |
| Croatia | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 10 | 0 | 0 | 0 |
| France | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Germany | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 10 | 0 | 0 |
| Greece | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Hungary | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Italy | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Netherlands | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 0 | 0 | 0 |
| Poland | 0 | 0 | 0 | 10 | 10 | 0 | 50 | 20 | 30 | 0 | 0 | 0 |
| Portugal | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 0 | 0 | 0 |
| Romania | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 15 | 15 | 0 | 0 | 0 |
| Russian Federation | 0 | 0 | 0 | 0 | 0 | 0 | 85 | 40 | 45 | 0 | 0 | 0 |
| Serbia86 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 10 | 0 | 0 | 0 |
| Ukraine | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0 | 20 | 0 | 0 | 0 |
| United Kingdom87 | 0 | 0 | 0 | 30 | 15 | 15 | 200 | 80 | 120 | 10 | 10 | 0 |
| Other places of birth in Europe | 0 | 0 | 0 | 10 | 0 | 0 | 80 | 40 | 45 | 0 | 0 | 0 |
| Africa | 0 | 0 | 0 | 15 | 10 | 10 | 170 | 75 | 95 | 10 | 0 | 10 |
| Algeria | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Congo, Democratic Republic of the | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Egypt | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 10 | 20 | 0 | 0 | 0 |
| Eritrea | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Ethiopia | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Morocco | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Nigeria | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 25 | 30 | 0 | 0 | 0 |
| Somalia | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| South Africa, Republic of | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 10 | 20 | 0 | 0 | 0 |
| Other places of birth in Africa | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 20 | 20 | 0 | 0 | 0 |
| Asia | 20 | 15 | 10 | 200 | 100 | 100 | 1,320 | 640 | 680 | 60 | 30 | 30 |
| Afghanistan | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Iran88 | 0 | 0 | 0 | 20 | 10 | 10 | 0 | 0 | 0 | 0 | 0 | 0 |
| Iraq | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Lebanon | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 15 | 0 | 0 | 0 | 0 |
| Syria89 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Turkey | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| China90 | 0 | 0 | 0 | 35 | 25 | 10 | 185 | 75 | 110 | 30 | 10 | 20 |
| Hong Kong91 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 30 | 10 | 0 | 0 | 0 |
| Korea, South92 | 0 | 0 | 0 | 25 | 10 | 15 | 10 | 0 | 0 | 10 | 10 | 0 |
| Taiwan | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Philippines | 0 | 0 | 0 | 15 | 0 | 15 | 500 | 245 | 255 | 0 | 0 | 0 |
| Viet Nam | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 10 | 10 | 0 | 0 | 0 |
| Bangladesh | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 20 | 20 | 0 | 0 | 0 |
| India | 0 | 0 | 0 | 70 | 30 | 40 | 280 | 145 | 140 | 0 | 0 | 0 |
| Pakistan | 0 | 0 | 0 | 0 | 0 | 0 | 65 | 40 | 30 | 0 | 0 | 0 |
| Sri Lanka | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 15 | 0 | 0 | 0 |
| Other places of birth in Asia | 10 | 0 | 10 | 10 | 10 | 0 | 100 | 50 | 50 | 15 | 0 | 10 |
| Oceania and other places of birth93 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 25 | 10 | 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 | 55 | 25 | 35 | 365 | 180 | 185 | 25 | 10 | 20 |
| Americas | 0 | 0 | 0 | 0 | 0 | 0 | 65 | 30 | 30 | 0 | 0 | 0 |
| Brazil | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Colombia | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Haiti | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Jamaica | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Mexico | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| United States of America | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 15 | 15 | 0 | 0 | 0 |
| Venezuela95 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 10 | 15 | 0 | 0 | 0 |
| Other places of birth in Americas | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Europe | 0 | 0 | 0 | 20 | 15 | 10 | 90 | 45 | 45 | 0 | 0 | 0 |
| France | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Germany | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Ireland96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Italy | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Russian Federation | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 10 | 10 | 0 | 0 | 0 |
| Ukraine | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| United Kingdom87 | 0 | 0 | 0 | 20 | 15 | 10 | 35 | 15 | 15 | 0 | 0 | 0 |
| Other places of birth in Europe | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 15 | 15 | 0 | 0 | 0 |
| Africa | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 20 | 25 | 0 | 0 | 0 |
| Algeria | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Burundi | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Cameroon | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Congo, Democratic Republic of the | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Côte d'Ivoire | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Egypt | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Eritrea | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Ethiopia | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Morocco | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Nigeria | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 10 | 0 | 0 | 0 |
| Somalia | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| South Africa, Republic of | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Sudan97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Tunisia | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Other places of birth in Africa | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Asia | 0 | 0 | 0 | 35 | 15 | 20 | 160 | 80 | 80 | 10 | 10 | 10 |
| Afghanistan | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Bangladesh | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| China90 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0 | 10 | 10 | 10 | 10 |
| Hong Kong91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| India | 0 | 0 | 0 | 25 | 15 | 15 | 55 | 25 | 30 | 0 | 0 | 0 |
| Iran88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Iraq | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Israel | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Japan | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Jordan | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Korea, South92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Lebanon | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Nepal | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Pakistan | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Philippines | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 20 | 10 | 0 | 0 | 0 |
| Saudi Arabia | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Sri Lanka | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Syria89 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Turkey | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| United Arab Emirates | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Viet Nam | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Other places of birth in Asia | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Oceania and other93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Australia | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Other places of birth98 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Generation status | ||||||||||||
| Total - Generation status for the population in private households - 25% sample data99 | 475 | 230 | 250 | 1,270 | 625 | 650 | 9,215 | 4,560 | 4,660 | 915 | 455 | 465 |
| First generation100 | 65 | 40 | 25 | 385 | 185 | 195 | 2,665 | 1,260 | 1,410 | 185 | 70 | 115 |
| Second generation101 | 105 | 50 | 60 | 195 | 100 | 85 | 1,855 | 995 | 865 | 200 | 105 | 95 |
| Third generation or more102 | 300 | 135 | 165 | 695 | 335 | 360 | 4,690 | 2,305 | 2,385 | 525 | 270 | 255 |
| 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 | 55 | 30 | 30 | 280 | 135 | 150 | 2,380 | 1,155 | 1,225 | 100 | 40 | 55 |
| Economic immigrants104 | 25 | 0 | 25 | 205 | 105 | 100 | 1,560 | 785 | 775 | 50 | 20 | 25 |
| Principal applicants105 | 0 | 0 | 0 | 90 | 60 | 30 | 595 | 385 | 210 | 20 | 10 | 10 |
| Secondary applicants106 | 25 | 0 | 25 | 115 | 45 | 75 | 965 | 400 | 560 | 35 | 10 | 25 |
| Immigrants sponsored by family107 | 20 | 15 | 0 | 40 | 10 | 35 | 535 | 230 | 305 | 30 | 15 | 15 |
| Refugees108 | 10 | 10 | 0 | 45 | 25 | 20 | 280 | 135 | 145 | 15 | 0 | 15 |
| Other immigrants109 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 55 | 30 | 30 | 280 | 135 | 150 | 2,380 | 1,155 | 1,225 | 100 | 40 | 55 |
| Asylum claim before admission111 | 0 | 0 | 0 | 0 | 0 | 0 | 130 | 80 | 50 | 0 | 0 | 0 |
| Work permits only before admission112 | 15 | 10 | 0 | 40 | 15 | 30 | 325 | 135 | 185 | 10 | 10 | 0 |
| Study permits only before admission113 | 0 | 0 | 0 | 15 | 10 | 10 | 70 | 35 | 30 | 0 | 0 | 0 |
| Work and study permits before admission114 | 0 | 0 | 0 | 15 | 0 | 10 | 135 | 75 | 65 | 15 | 0 | 10 |
| Other permits before admission115 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| No pre-admission experience116 | 35 | 20 | 15 | 195 | 100 | 100 | 1,715 | 830 | 885 | 60 | 20 | 40 |
| Visible minority | ||||||||||||
| Total - Visible minority for the population in private households - 25% sample data117 | 470 | 230 | 250 | 1,270 | 625 | 650 | 9,215 | 4,555 | 4,660 | 915 | 450 | 465 |
| Total visible minority population118 | 65 | 50 | 10 | 315 | 135 | 180 | 2,880 | 1,400 | 1,480 | 155 | 65 | 90 |
| South Asian | 0 | 0 | 0 | 90 | 40 | 50 | 705 | 330 | 375 | 25 | 10 | 15 |
| Chinese | 10 | 10 | 0 | 80 | 35 | 45 | 445 | 240 | 210 | 70 | 35 | 40 |
| Black | 0 | 0 | 0 | 0 | 0 | 0 | 255 | 120 | 140 | 15 | 0 | 15 |
| Filipino | 0 | 0 | 0 | 20 | 0 | 15 | 670 | 350 | 320 | 0 | 0 | 0 |
| Arab | 0 | 0 | 0 | 25 | 15 | 0 | 155 | 70 | 80 | 0 | 0 | 0 |
| Latin American | 15 | 15 | 0 | 20 | 10 | 10 | 380 | 165 | 215 | 15 | 0 | 10 |
| Southeast Asian | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 55 | 50 | 0 | 0 | 0 |
| West Asian | 0 | 0 | 0 | 30 | 15 | 15 | 0 | 0 | 0 | 0 | 0 | 0 |
| Korean | 0 | 0 | 0 | 30 | 10 | 15 | 20 | 10 | 10 | 10 | 10 | 0 |
| Japanese | 0 | 0 | 0 | 25 | 0 | 15 | 20 | 0 | 20 | 0 | 0 | 0 |
| Visible minority, n.i.e.119 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 20 | 10 | 0 | 0 | 0 |
| Multiple visible minorities | 0 | 0 | 0 | 0 | 0 | 0 | 70 | 30 | 45 | 0 | 0 | 0 |
| Not a visible minority120 | 405 | 170 | 235 | 955 | 490 | 470 | 6,335 | 3,160 | 3,175 | 765 | 385 | 375 |
| Ethnic or cultural origin | ||||||||||||
| Total - Ethnic or cultural origin for the population in private households - 25% sample data121 | 475 | 225 | 245 | 1,275 | 620 | 645 | 9,215 | 4,560 | 4,660 | 915 | 450 | 465 |
| Canadian | 100 | 40 | 60 | 150 | 95 | 60 | 1,160 | 630 | 530 | 105 | 65 | 40 |
| English | 100 | 20 | 75 | 290 | 120 | 170 | 1,750 | 875 | 875 | 220 | 110 | 110 |
| Irish | 55 | 25 | 25 | 125 | 50 | 75 | 1,365 | 655 | 710 | 150 | 95 | 60 |
| Scottish | 100 | 45 | 55 | 265 | 140 | 130 | 1,330 | 615 | 715 | 165 | 85 | 85 |
| French, n.o.s.122 | 65 | 35 | 30 | 60 | 15 | 45 | 685 | 270 | 415 | 120 | 70 | 50 |
| German | 70 | 30 | 40 | 240 | 125 | 115 | 1,085 | 565 | 515 | 155 | 50 | 110 |
| Chinese | 30 | 25 | 0 | 70 | 30 | 35 | 435 | 225 | 210 | 70 | 35 | 35 |
| Italian | 10 | 0 | 10 | 40 | 20 | 20 | 280 | 120 | 160 | 35 | 25 | 15 |
| Indian (India) | 0 | 0 | 0 | 60 | 30 | 30 | 395 | 190 | 210 | 25 | 0 | 20 |
| Ukrainian | 50 | 30 | 20 | 125 | 50 | 75 | 650 | 330 | 320 | 70 | 35 | 35 |
| Dutch | 45 | 30 | 20 | 35 | 20 | 20 | 330 | 160 | 170 | 65 | 25 | 35 |
| Polish | 30 | 10 | 10 | 65 | 30 | 30 | 380 | 150 | 230 | 50 | 25 | 25 |
| Québécois | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0 | 10 | 0 | 0 | 0 |
| British Isles, n.o.s.123 | 30 | 10 | 20 | 110 | 70 | 40 | 445 | 215 | 230 | 55 | 25 | 30 |
| Filipino | 0 | 0 | 0 | 20 | 0 | 10 | 620 | 335 | 285 | 0 | 0 | 0 |
| French Canadian | 0 | 0 | 0 | 10 | 10 | 0 | 70 | 30 | 40 | 0 | 0 | 0 |
| Caucasian (White), n.o.s.124 | 0 | 0 | 0 | 0 | 0 | 0 | 135 | 75 | 60 | 25 | 10 | 15 |
| First Nations (North American Indian), n.o.s.125 | 0 | 0 | 0 | 0 | 0 | 0 | 95 | 40 | 50 | 0 | 0 | 0 |
| Métis | 0 | 0 | 0 | 20 | 0 | 20 | 110 | 60 | 50 | 0 | 0 | 0 |
| European, n.o.s.126 | 0 | 0 | 0 | 15 | 0 | 15 | 235 | 115 | 120 | 0 | 0 | 0 |
| Russian | 20 | 0 | 15 | 65 | 25 | 35 | 290 | 165 | 125 | 35 | 10 | 20 |
| Norwegian | 10 | 10 | 0 | 60 | 40 | 25 | 340 | 140 | 205 | 30 | 10 | 20 |
| Welsh | 25 | 0 | 15 | 25 | 0 | 20 | 125 | 60 | 70 | 0 | 0 | 0 |
| Portuguese | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 20 | 10 | 0 | 0 | 0 |
| American | 30 | 0 | 30 | 70 | 35 | 30 | 120 | 55 | 70 | 30 | 15 | 15 |
| Spanish | 0 | 0 | 0 | 15 | 10 | 10 | 195 | 115 | 85 | 0 | 0 | 0 |
| Swedish | 0 | 0 | 0 | 15 | 10 | 10 | 85 | 45 | 40 | 30 | 25 | 0 |
| Hungarian | 10 | 0 | 0 | 10 | 0 | 0 | 120 | 60 | 60 | 10 | 0 | 0 |
| Acadian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Pakistani | 0 | 0 | 0 | 0 | 0 | 0 | 120 | 55 | 65 | 0 | 0 | 0 |
| African, n.o.s.127 | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 30 | 25 | 0 | 0 | 0 |
| Jewish | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 30 | 10 | 15 | 10 | 0 |
| Punjabi | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 15 | 20 | 0 | 0 | 0 |
| Vietnamese | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 10 | 10 | 0 | 0 | 0 |
| Arab, n.o.s.128 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Greek | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 45 | 15 | 0 | 0 | 0 |
| Jamaican | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 10 | 15 | 0 | 0 | 0 |
| Asian, n.o.s.129 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 35 | 60 | 0 | 0 | 0 |
| Cree, n.o.s.130 | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 35 | 15 | 10 | 0 | 0 |
| Korean | 0 | 0 | 0 | 30 | 15 | 20 | 30 | 20 | 15 | 0 | 0 | 0 |
| Romanian | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 60 | 45 | 0 | 0 | 0 |
| Lebanese | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 60 | 20 | 0 | 0 | 0 |
| Iranian | 0 | 0 | 0 | 30 | 15 | 15 | 0 | 0 | 0 | 0 | 0 | 0 |
| Christian, n.i.e.131 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 15 | 0 | 0 | 0 | 0 |
| Danish | 0 | 0 | 0 | 0 | 0 | 0 | 95 | 60 | 35 | 0 | 0 | 0 |
| North American Indigenous, n.o.s.132 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 15 | 0 | 0 | 0 |
| Sikh | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Austrian | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 25 | 15 | 20 | 15 | 0 |
| Belgian | 10 | 0 | 0 | 0 | 0 | 0 | 60 | 20 | 40 | 20 | 10 | 10 |
| Haitian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Hindu | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 35 | 45 | 0 | 0 | 0 |
| Mexican | 10 | 10 | 0 | 0 | 0 | 0 | 80 | 35 | 45 | 20 | 0 | 20 |
| Mennonite | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 0 | 0 | 0 |
| Swiss | 0 | 0 | 0 | 0 | 0 | 0 | 70 | 15 | 55 | 0 | 0 | 0 |
| Finnish | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 15 | 10 | 10 | 0 | 10 |
| Sri Lankan | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 0 | 20 | 0 | 0 | 0 |
| Croatian | 0 | 0 | 0 | 10 | 0 | 10 | 60 | 25 | 40 | 0 | 0 | 0 |
| Japanese | 0 | 0 | 0 | 20 | 0 | 20 | 45 | 15 | 30 | 0 | 0 | 0 |
| South Asian, n.o.s.133 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Mi'kmaq, n.o.s.134 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0 | 15 | 0 | 0 | 0 |
| Northern European, n.o.s.135 | 0 | 0 | 0 | 0 | 0 | 0 | 85 | 45 | 40 | 0 | 0 | 0 |
| Muslim | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 10 | 10 | 0 | 0 | 0 |
| Egyptian | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 25 | 20 | 0 | 0 | 0 |
| Latin, Central or South American, n.o.s.136 | 0 | 0 | 0 | 0 | 0 | 0 | 90 | 45 | 40 | 0 | 0 | 0 |
| Tamil | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Icelandic | 0 | 0 | 0 | 20 | 15 | 10 | 65 | 40 | 20 | 0 | 0 | 0 |
| Colombian | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 30 | 50 | 0 | 0 | 0 |
| Moroccan | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Czech | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 25 | 30 | 0 | 0 | 0 |
| Syrian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Guyanese | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Afghan | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Black, n.o.s.137 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Serbian | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 10 | 30 | 0 | 0 | 0 |
| Ojibway | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Newfoundlander | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 0 | 0 | 0 |
| Hong Konger | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 20 | 10 | 0 | 0 | 0 |
| Ontarian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Persian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Trinidadian/Tobagonian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Turkish | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Inuit, n.o.s.138 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Bangladeshi | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 25 | 20 | 0 | 0 | 0 |
| Algerian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Brazilian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Nigerian | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 15 | 15 | 0 | 0 | 0 |
| Armenian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Slovak | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0 | 15 | 0 | 0 | 0 |
| Eastern European, n.o.s.139 | 0 | 0 | 0 | 10 | 10 | 0 | 25 | 0 | 20 | 0 | 0 | 0 |
| Somali | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Taiwanese | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Iraqi | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 0 | 35 | 0 | 0 | 0 |
| Salvadorean | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| African Caribbean | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| East or Southeast Asian, n.o.s.140 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 10 | 25 | 0 | 0 | 0 |
| West or Central Asian or Middle Eastern, n.o.s.141 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 10 | 0 | 0 | 0 |
| Caribbean, n.o.s.142 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Algonquin | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| West Indian, n.o.s.143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Lithuanian | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0 | 20 | 0 | 0 | 0 |
| South African | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 0 | 0 | 0 |
| Australian | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 25 | 10 | 0 | 0 | 0 |
| Palestinian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Chilean | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Congolese | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Nova Scotian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Ethiopian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Hispanic, n.o.s.144 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 10 | 0 | 0 | 0 |
| Peruvian | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 10 | 0 | 0 | 0 |
| Yoruba | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 20 | 30 | 0 | 0 | 0 |
| Cambodian (Khmer) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Berber | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Albanian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Maltese | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 0 | 0 |
| Macedonian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Slovenian | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 35 | 10 | 0 | 0 | 0 |
| Western European, n.o.s.145 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 10 | 0 | 0 | 0 |
| New Brunswicker | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Gujarati | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 0 | 0 | 0 | 0 |
| Eritrean | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| African Canadian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Israeli | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Mohawk | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 0 | 0 |
| Czechoslovakian, n.o.s.146 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 10 | 10 | 0 | 0 | 0 |
| Bulgarian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Albertan | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 60 | 45 | 0 | 0 | 0 |
| Ghanaian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Barbadian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| African American | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Yugoslavian, n.o.s.147 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Tunisian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Slavic, n.o.s.148 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Cuban | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Bosnian | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 15 | 10 | 0 | 0 | 0 |
| Venezuelan | 0 | 0 | 0 | 0 | 0 | 0 | 145 | 65 | 75 | 0 | 0 | 0 |
| Innu/Montagnais, n.o.s.149 | 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 |
| Bengali | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Cameroonian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Guatemalan | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Indonesian | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 10 | 20 | 0 | 0 | 0 |
| Laotian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Ilocano | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Northern Irish | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Celtic, n.o.s.150 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 15 | 0 | 0 | 0 |
| British Columbian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Ecuadorian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Franco Ontarian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Argentinian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Estonian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Kurdish | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Fijian | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 0 | 0 | 0 |
| Jatt | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| North American, n.o.s.151 | 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 |
| Thai | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Dominican | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Nepali | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Kabyle | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Assyrian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Igbo | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 20 | 15 | 0 | 0 | 0 |
| Byelorussian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Dene, n.o.s.152 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Blackfoot, n.o.s.153 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Abenaki | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Moldovan | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Iroquois (Haudenosaunee), n.o.s.154 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| New Zealander | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Sudanese | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Breton | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Pennsylvania Dutch | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Malaysian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Plains Cree | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| North African, n.o.s.155 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Huron (Wendat) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Saskatchewanian | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 10 | 0 | 0 | 0 | 0 |
| Buddhist | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 15 | 0 | 0 | 0 | 0 |
| Gaspesian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Norman | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Southern or East African, n.o.s.156 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Ivorian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Saulteaux | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Anishinaabe, n.o.s.157 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Burundian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Tigrinya | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Nicaraguan | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Mauritian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Kenyan | 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 |
| Vincentian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Jordanian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Manitoban | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Cape Bretoner | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Rwandan | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Grenadian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Malayali | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Chaldean | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Sinhalese | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Mayan | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Honduran | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Cherokee | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Qalipu Mi'kmaq | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Indo-Caribbean | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Flemish | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| United Empire Loyalist | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Senegalese | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Azerbaijani | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Sicilian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Pashtun | 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 |
| Goan | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Bantu, n.o.s.158 | 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 |
| Zimbabwean | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Burmese | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Mongolian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Azorean | 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 |
| Bamileke | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Indo-Guyanese | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Ugandan | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Oromo | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Tanzanian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Yemeni | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Central African | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Libyan | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Basque | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Uruguayan | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Akan, n.o.s.159 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Central or West African, n.o.s.160 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 10 | 0 | 0 | 0 |
| Igorot | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 10 | 15 | 0 | 0 | 0 |
| Fulani | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Woodland Cree | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Guinean | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| St. Lucian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Prince Edward Islander | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Maliseet | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Beninese | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Telugu | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 15 | 15 | 0 | 0 | 0 |
| Roma | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Costa Rican | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| African Nova Scotian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Malagasy | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Kashmiri | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Singaporean | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Karen | 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 |
| Tajik | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Amhara | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Paraguayan | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Religion | ||||||||||||
| Total - Religion for the population in private households - 25% sample data161 | 470 | 230 | 250 | 1,270 | 625 | 650 | 9,215 | 4,555 | 4,655 | 920 | 450 | 465 |
| Buddhist | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 25 | 35 | 15 | 10 | 10 |
| Christian | 280 | 150 | 140 | 675 | 335 | 340 | 4,885 | 2,285 | 2,600 | 270 | 110 | 155 |
| Christian, n.o.s.162 | 65 | 35 | 30 | 145 | 70 | 80 | 925 | 435 | 490 | 55 | 25 | 35 |
| Anabaptist | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 10 | 0 | 0 | 0 |
| Anglican | 0 | 0 | 0 | 65 | 40 | 25 | 200 | 90 | 115 | 10 | 0 | 0 |
| Baptist | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 25 | 30 | 0 | 0 | 0 |
| Catholic | 125 | 65 | 60 | 295 | 140 | 155 | 2,350 | 1,100 | 1,250 | 120 | 50 | 70 |
| Christian Orthodox | 15 | 10 | 10 | 0 | 0 | 0 | 110 | 55 | 55 | 15 | 0 | 10 |
| Jehovah's Witness | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 30 | 20 | 0 | 0 | 0 |
| Latter Day Saints | 0 | 0 | 0 | 0 | 0 | 0 | 195 | 90 | 105 | 0 | 0 | 0 |
| Lutheran | 0 | 0 | 0 | 15 | 10 | 0 | 60 | 25 | 45 | 0 | 0 | 0 |
| Methodist and Wesleyan (Holiness) | 0 | 0 | 0 | 20 | 0 | 10 | 0 | 0 | 0 | 0 | 0 | 0 |
| Pentecostal and other Charismatic | 0 | 0 | 0 | 30 | 20 | 10 | 95 | 55 | 40 | 15 | 10 | 10 |
| Presbyterian | 0 | 0 | 0 | 20 | 10 | 10 | 75 | 40 | 30 | 0 | 0 | 0 |
| Reformed | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 10 | 10 | 0 | 0 | 0 |
| United Church | 0 | 0 | 0 | 15 | 0 | 10 | 380 | 150 | 230 | 10 | 0 | 10 |
| Other Christian and Christian-related traditions | 0 | 0 | 0 | 55 | 20 | 35 | 345 | 175 | 170 | 20 | 15 | 10 |
| Hindu | 0 | 0 | 0 | 55 | 20 | 35 | 240 | 125 | 115 | 0 | 0 | 0 |
| Jewish | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 20 | 10 | 30 | 20 | 10 |
| Muslim | 0 | 0 | 0 | 40 | 25 | 15 | 345 | 160 | 185 | 0 | 0 | 0 |
| Sikh | 0 | 0 | 0 | 20 | 10 | 10 | 110 | 55 | 55 | 0 | 0 | 0 |
| Traditional (North American Indigenous) spirituality | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 |
| Other religions and spiritual traditions | 0 | 0 | 0 | 15 | 0 | 10 | 45 | 25 | 20 | 0 | 0 | 0 |
| No religion and secular perspectives | 160 | 55 | 105 | 455 | 215 | 235 | 3,505 | 1,875 | 1,640 | 570 | 295 | 270 |
| Mobility status 1 year ago | ||||||||||||
| Total - Mobility status 1 year ago - 25% sample data163 | 470 | 225 | 245 | 1,265 | 620 | 650 | 9,085 | 4,505 | 4,585 | 905 | 445 | 460 |
| Non-movers | 445 | 215 | 230 | 1,090 | 530 | 560 | 7,745 | 3,840 | 3,910 | 625 | 300 | 325 |
| Movers | 30 | 10 | 15 | 180 | 90 | 90 | 1,340 | 665 | 675 | 275 | 145 | 130 |
| Non-migrants | 20 | 10 | 10 | 115 | 55 | 60 | 940 | 490 | 455 | 220 | 105 | 115 |
| Migrants | 0 | 0 | 0 | 60 | 30 | 30 | 395 | 175 | 220 | 60 | 40 | 15 |
| Internal migrants | 0 | 0 | 0 | 40 | 20 | 15 | 300 | 140 | 165 | 50 | 30 | 15 |
| Intraprovincial migrants | 0 | 0 | 0 | 25 | 10 | 15 | 80 | 45 | 40 | 15 | 10 | 10 |
| Interprovincial migrants | 0 | 0 | 0 | 0 | 0 | 0 | 220 | 95 | 130 | 30 | 20 | 15 |
| External migrants | 0 | 0 | 0 | 0 | 0 | 0 | 95 | 40 | 55 | 15 | 15 | 0 |
| Mobility status 5 years ago | ||||||||||||
| Total - Mobility status 5 years ago - 25% sample data164 | 435 | 210 | 230 | 1,240 | 600 | 635 | 8,440 | 4,165 | 4,270 | 875 | 420 | 450 |
| Non-movers | 350 | 160 | 190 | 880 | 435 | 445 | 4,425 | 2,225 | 2,200 | 280 | 145 | 135 |
| Movers | 90 | 50 | 40 | 360 | 165 | 190 | 4,015 | 1,945 | 2,070 | 595 | 280 | 315 |
| Non-migrants | 75 | 40 | 35 | 165 | 85 | 80 | 2,780 | 1,350 | 1,430 | 380 | 165 | 215 |
| Migrants | 10 | 0 | 0 | 195 | 85 | 110 | 1,235 | 590 | 645 | 215 | 115 | 100 |
| Internal migrants | 0 | 0 | 0 | 160 | 65 | 95 | 965 | 465 | 500 | 175 | 90 | 85 |
| Intraprovincial migrants | 0 | 0 | 0 | 75 | 30 | 45 | 490 | 260 | 230 | 110 | 55 | 50 |
| Interprovincial migrants | 0 | 0 | 0 | 80 | 35 | 50 | 480 | 205 | 270 | 65 | 30 | 35 |
| External migrants | 0 | 0 | 0 | 35 | 20 | 15 | 265 | 125 | 145 | 40 | 30 | 15 |
| 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 | 355 | 180 | 170 | 1,065 | 515 | 550 | 6,850 | 3,345 | 3,505 | 805 | 385 | 425 |
| No high school diploma or equivalency certificate | 35 | 20 | 15 | 80 | 45 | 30 | 640 | 330 | 305 | 30 | 10 | 20 |
| With high school diploma or equivalency certificate166 | 320 | 165 | 155 | 985 | 470 | 520 | 6,215 | 3,015 | 3,205 | 775 | 365 | 405 |
| Total - Secondary (high) school diploma or equivalency certificate for the population aged 25 to 64 years in private households - 25% sample data165 | 270 | 120 | 150 | 640 | 305 | 335 | 5,335 | 2,630 | 2,710 | 650 | 330 | 325 |
| No high school diploma or equivalency certificate | 15 | 0 | 15 | 0 | 0 | 0 | 280 | 155 | 125 | 20 | 10 | 10 |
| With high school diploma or equivalency certificate166 | 255 | 120 | 140 | 635 | 305 | 330 | 5,055 | 2,470 | 2,590 | 635 | 320 | 315 |
| 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 | 350 | 185 | 170 | 1,065 | 520 | 545 | 6,855 | 3,350 | 3,505 | 805 | 380 | 425 |
| No certificate, diploma or degree | 35 | 15 | 15 | 80 | 50 | 35 | 545 | 290 | 260 | 25 | 10 | 15 |
| High (secondary) school diploma or equivalency certificate167 | 100 | 40 | 60 | 220 | 105 | 115 | 1,615 | 770 | 845 | 135 | 70 | 60 |
| Postsecondary certificate, diploma or degree | 220 | 125 | 90 | 760 | 365 | 395 | 4,690 | 2,285 | 2,405 | 650 | 300 | 345 |
| Postsecondary certificate or diploma below bachelor level | 100 | 60 | 35 | 175 | 70 | 105 | 2,020 | 1,065 | 955 | 235 | 115 | 115 |
| Apprenticeship or trades certificate or diploma | 20 | 20 | 0 | 35 | 30 | 0 | 475 | 390 | 80 | 65 | 35 | 30 |
| Non-apprenticeship trades certificate or diploma168 | 0 | 0 | 0 | 20 | 20 | 0 | 140 | 100 | 40 | 25 | 10 | 15 |
| Apprenticeship certificate169 | 20 | 20 | 0 | 15 | 10 | 0 | 330 | 295 | 40 | 40 | 25 | 15 |
| College, CEGEP or other non-university certificate or diploma170 | 60 | 30 | 30 | 90 | 25 | 75 | 1,275 | 555 | 720 | 140 | 70 | 70 |
| University certificate or diploma below bachelor level | 20 | 10 | 10 | 45 | 20 | 30 | 270 | 120 | 150 | 25 | 10 | 15 |
| Bachelor's degree or higher | 115 | 60 | 55 | 585 | 295 | 290 | 2,670 | 1,220 | 1,450 | 415 | 185 | 235 |
| Bachelor's degree | 100 | 55 | 50 | 360 | 170 | 190 | 1,890 | 830 | 1,060 | 290 | 140 | 155 |
| University certificate or diploma above bachelor level | 0 | 0 | 0 | 45 | 25 | 25 | 140 | 55 | 85 | 20 | 0 | 15 |
| Degree in medicine, dentistry, veterinary medicine or optometry | 0 | 0 | 0 | 15 | 10 | 0 | 40 | 25 | 15 | 15 | 10 | 0 |
| Master's degree | 15 | 10 | 10 | 160 | 85 | 65 | 545 | 280 | 270 | 80 | 35 | 50 |
| Earned doctorate171 | 0 | 0 | 0 | 15 | 0 | 10 | 55 | 30 | 25 | 10 | 0 | 10 |
| Total - Highest certificate, diploma or degree for the population aged 25 to 64 years in private households - 25% sample data165 | 270 | 120 | 150 | 640 | 305 | 335 | 5,340 | 2,625 | 2,710 | 655 | 330 | 325 |
| No certificate, diploma or degree | 10 | 0 | 10 | 0 | 0 | 0 | 205 | 120 | 85 | 15 | 0 | 10 |
| High (secondary) school diploma or equivalency certificate167 | 80 | 30 | 55 | 55 | 35 | 20 | 995 | 505 | 490 | 85 | 45 | 35 |
| Postsecondary certificate, diploma or degree | 170 | 90 | 85 | 585 | 270 | 310 | 4,135 | 1,995 | 2,135 | 560 | 280 | 280 |
| Postsecondary certificate or diploma below bachelor level | 80 | 45 | 35 | 120 | 45 | 80 | 1,765 | 945 | 820 | 170 | 105 | 65 |
| Apprenticeship or trades certificate or diploma | 20 | 20 | 0 | 20 | 15 | 0 | 420 | 350 | 70 | 55 | 35 | 20 |
| Non-apprenticeship trades certificate or diploma168 | 0 | 0 | 0 | 15 | 15 | 0 | 110 | 80 | 30 | 15 | 10 | 0 |
| Apprenticeship certificate169 | 20 | 20 | 0 | 10 | 0 | 0 | 310 | 270 | 35 | 35 | 25 | 10 |
| College, CEGEP or other non-university certificate or diploma170 | 55 | 25 | 25 | 75 | 15 | 55 | 1,120 | 490 | 635 | 95 | 60 | 40 |
| University certificate or diploma below bachelor level | 10 | 0 | 10 | 25 | 10 | 15 | 220 | 110 | 115 | 20 | 10 | 10 |
| Bachelor's degree or higher | 90 | 45 | 45 | 460 | 225 | 235 | 2,375 | 1,050 | 1,320 | 385 | 175 | 215 |
| Bachelor's degree | 80 | 40 | 45 | 280 | 130 | 145 | 1,665 | 715 | 945 | 260 | 130 | 135 |
| University certificate or diploma above bachelor level | 0 | 0 | 0 | 40 | 20 | 20 | 125 | 45 | 80 | 20 | 0 | 20 |
| Degree in medicine, dentistry, veterinary medicine or optometry | 0 | 0 | 0 | 10 | 0 | 10 | 40 | 25 | 15 | 10 | 0 | 0 |
| Master's degree | 10 | 10 | 0 | 125 | 70 | 55 | 505 | 250 | 255 | 85 | 35 | 45 |
| Earned doctorate171 | 0 | 0 | 0 | 10 | 0 | 10 | 40 | 15 | 25 | 10 | 0 | 10 |
| 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 | 350 | 180 | 170 | 1,065 | 515 | 550 | 6,855 | 3,350 | 3,505 | 810 | 380 | 420 |
| No postsecondary certificate, diploma or degree173 | 135 | 60 | 80 | 305 | 155 | 150 | 2,165 | 1,060 | 1,100 | 155 | 80 | 80 |
| Education | 0 | 0 | 0 | 50 | 0 | 45 | 295 | 75 | 220 | 20 | 0 | 20 |
| 13. Education | 0 | 0 | 0 | 50 | 0 | 45 | 295 | 75 | 220 | 20 | 0 | 20 |
| Visual and performing arts, and communications technologies | 0 | 0 | 0 | 10 | 0 | 0 | 125 | 55 | 75 | 30 | 0 | 20 |
| 10. Communications technologies/technicians and support services | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 0 | 0 | 0 |
| 50. Visual and performing arts | 0 | 0 | 0 | 10 | 0 | 0 | 120 | 45 | 75 | 30 | 0 | 20 |
| Humanities | 25 | 10 | 15 | 50 | 10 | 45 | 155 | 50 | 100 | 20 | 0 | 10 |
| 16. Indigenous and foreign languages, literatures, and linguistics | 0 | 0 | 0 | 20 | 0 | 20 | 20 | 10 | 10 | 0 | 0 | 0 |
| 23. English language and literature/letters | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 0 | 30 | 0 | 0 | 0 |
| 24. Liberal arts and sciences, general studies and humanities | 0 | 0 | 0 | 10 | 0 | 10 | 35 | 10 | 25 | 0 | 0 | 0 |
| 30A Interdisciplinary humanities174 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 38. Philosophy and religious studies | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 39. Theology and religious vocations | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 20 | 20 | 0 | 0 | 0 |
| 54. History | 0 | 0 | 0 | 10 | 0 | 10 | 0 | 0 | 0 | 10 | 0 | 0 |
| 55. French language and literature/lettersCAN | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Social and behavioural sciences and law | 15 | 10 | 10 | 90 | 30 | 60 | 485 | 150 | 330 | 100 | 40 | 60 |
| 05. Area, ethnic, cultural, gender, and group studies | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 09. Communication, journalism and related programs | 0 | 0 | 0 | 10 | 0 | 0 | 55 | 10 | 45 | 40 | 30 | 10 |
| 19. Family and consumer sciences/human sciences | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 0 | 60 | 0 | 0 | 0 |
| 22. Legal professions and studies | 10 | 0 | 0 | 35 | 15 | 20 | 95 | 40 | 55 | 20 | 0 | 15 |
| 30B Interdisciplinary social and behavioural sciences175 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 10 | 0 | 0 | 0 |
| 42. Psychology | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 25 | 75 | 20 | 0 | 20 |
| 45. Social sciences | 10 | 0 | 0 | 35 | 15 | 25 | 155 | 75 | 85 | 10 | 0 | 10 |
| Business, management and public administration | 35 | 25 | 10 | 215 | 125 | 85 | 1,260 | 570 | 685 | 165 | 70 | 95 |
| 30.16 Accounting and computer science | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 44. Public administration and social service professions | 0 | 0 | 0 | 15 | 0 | 0 | 45 | 0 | 45 | 10 | 0 | 0 |
| 52. Business, management, marketing and related support services | 35 | 25 | 10 | 200 | 125 | 75 | 1,205 | 570 | 635 | 160 | 60 | 90 |
| Physical and life sciences and technologies | 10 | 10 | 0 | 60 | 30 | 25 | 185 | 80 | 105 | 25 | 10 | 10 |
| 26. Biological and biomedical sciences | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 25 | 30 | 10 | 0 | 0 |
| 30.01 Biological and physical sciences | 0 | 0 | 0 | 35 | 10 | 25 | 45 | 10 | 35 | 0 | 0 | 0 |
| 30C Other interdisciplinary physical and life sciences176 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 40. Physical sciences | 10 | 10 | 0 | 15 | 15 | 0 | 85 | 50 | 35 | 10 | 10 | 0 |
| 41. Science technologies/technicians | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 10 | 0 | 0 | 0 |
| Mathematics, computer and information sciences | 25 | 20 | 10 | 35 | 0 | 25 | 205 | 140 | 65 | 20 | 20 | 0 |
| 11. Computer and information sciences and support services | 20 | 15 | 10 | 25 | 0 | 15 | 175 | 115 | 60 | 10 | 10 | 0 |
| 25. Library science | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 27. Mathematics and statistics | 0 | 0 | 0 | 10 | 0 | 10 | 30 | 20 | 0 | 10 | 10 | 0 |
| 30D Interdisciplinary mathematics, computer and information sciences177 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Architecture, engineering, and related trades | 55 | 55 | 0 | 140 | 120 | 20 | 1,050 | 910 | 140 | 115 | 90 | 20 |
| 04. Architecture and related services | 0 | 0 | 0 | 10 | 0 | 0 | 35 | 15 | 20 | 0 | 0 | 0 |
| 14. Engineering | 20 | 20 | 0 | 95 | 85 | 10 | 425 | 345 | 75 | 60 | 50 | 15 |
| 15. Engineering/engineering-related technologies/technicians | 15 | 10 | 0 | 10 | 10 | 0 | 245 | 215 | 30 | 30 | 25 | 0 |
| 30.12 Historic preservation and conservation | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 46. Construction trades | 10 | 10 | 0 | 10 | 10 | 0 | 165 | 160 | 0 | 10 | 10 | 0 |
| 47. Mechanic and repair technologies/technicians | 0 | 0 | 0 | 0 | 0 | 0 | 135 | 125 | 10 | 0 | 0 | 0 |
| 48. Precision production | 10 | 10 | 0 | 0 | 0 | 0 | 50 | 50 | 0 | 10 | 10 | 0 |
| Agriculture, natural resources and conservation | 0 | 0 | 0 | 10 | 10 | 0 | 45 | 20 | 25 | 10 | 10 | 0 |
| 01. Agricultural and veterinary sciences/services/operations and related fields178 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 15 | 20 | 0 | 0 | 0 |
| 03. Natural resources and conservation | 0 | 0 | 0 | 10 | 0 | 0 | 15 | 0 | 0 | 10 | 10 | 0 |
| Health and related fields | 30 | 0 | 30 | 90 | 20 | 70 | 720 | 120 | 600 | 115 | 35 | 80 |
| 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 | 35 | 15 | 20 | 10 | 0 | 0 |
| 51. Health professions and related programs178 | 30 | 0 | 30 | 90 | 20 | 65 | 675 | 100 | 575 | 100 | 25 | 75 |
| 60. Health professions residency/fellowship programs | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 61. Medical residency/fellowship programs | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Personal, protective and transportation services | 0 | 0 | 0 | 15 | 0 | 15 | 170 | 120 | 55 | 40 | 20 | 20 |
| 12. Culinary, entertainment, and personal services | 0 | 0 | 0 | 15 | 0 | 15 | 75 | 35 | 40 | 25 | 15 | 15 |
| 28. Military science, leadership and operational art | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 29. Military technologies and applied sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 43. Security and protective services | 0 | 0 | 0 | 0 | 0 | 0 | 65 | 50 | 10 | 0 | 0 | 0 |
| 49. Transportation and materials moving | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 25 | 0 | 10 | 10 | 0 |
| Other179 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 265 | 120 | 150 | 640 | 305 | 335 | 5,335 | 2,625 | 2,710 | 655 | 335 | 320 |
| No postsecondary certificate, diploma or degree173 | 100 | 30 | 65 | 60 | 30 | 25 | 1,200 | 630 | 570 | 95 | 50 | 45 |
| Education | 0 | 0 | 0 | 25 | 0 | 25 | 230 | 45 | 185 | 15 | 0 | 15 |
| 13. Education | 0 | 0 | 0 | 25 | 0 | 25 | 230 | 45 | 185 | 15 | 0 | 15 |
| Visual and performing arts, and communications technologies | 10 | 0 | 10 | 10 | 0 | 10 | 105 | 50 | 60 | 20 | 0 | 20 |
| 10. Communications technologies/technicians and support services | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 50. Visual and performing arts | 10 | 0 | 10 | 10 | 0 | 10 | 105 | 40 | 60 | 20 | 0 | 20 |
| Humanities | 15 | 0 | 15 | 40 | 10 | 35 | 115 | 30 | 85 | 20 | 0 | 10 |
| 16. Indigenous and foreign languages, literatures, and linguistics | 0 | 0 | 0 | 10 | 0 | 10 | 20 | 10 | 10 | 0 | 0 | 0 |
| 23. English language and literature/letters | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 0 | 25 | 0 | 0 | 0 |
| 24. Liberal arts and sciences, general studies and humanities | 0 | 0 | 0 | 15 | 0 | 15 | 30 | 0 | 25 | 0 | 0 | 0 |
| 30A Interdisciplinary humanities174 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 38. Philosophy and religious studies | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 39. Theology and religious vocations | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 10 | 0 | 0 | 0 |
| 54. History | 0 | 0 | 0 | 10 | 0 | 10 | 0 | 0 | 0 | 0 | 0 | 0 |
| 55. French language and literature/lettersCAN | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Social and behavioural sciences and law | 15 | 10 | 10 | 85 | 25 | 55 | 410 | 125 | 285 | 90 | 40 | 50 |
| 05. Area, ethnic, cultural, gender, and group studies | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 09. Communication, journalism and related programs | 0 | 0 | 0 | 10 | 0 | 0 | 50 | 10 | 40 | 35 | 25 | 10 |
| 19. Family and consumer sciences/human sciences | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 0 | 55 | 0 | 0 | 0 |
| 22. Legal professions and studies | 10 | 0 | 0 | 35 | 15 | 20 | 85 | 35 | 55 | 20 | 0 | 15 |
| 30B Interdisciplinary social and behavioural sciences175 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 10 | 0 | 0 | 0 |
| 42. Psychology | 0 | 0 | 0 | 0 | 0 | 0 | 85 | 15 | 65 | 15 | 0 | 15 |
| 45. Social sciences | 0 | 0 | 0 | 30 | 10 | 25 | 120 | 60 | 60 | 10 | 0 | 10 |
| Business, management and public administration | 25 | 20 | 0 | 180 | 110 | 80 | 1,115 | 490 | 625 | 140 | 65 | 75 |
| 30.16 Accounting and computer science | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 44. Public administration and social service professions | 0 | 0 | 0 | 15 | 0 | 10 | 40 | 0 | 40 | 10 | 0 | 0 |
| 52. Business, management, marketing and related support services | 25 | 20 | 0 | 175 | 105 | 65 | 1,075 | 490 | 580 | 130 | 55 | 65 |
| Physical and life sciences and technologies | 10 | 0 | 0 | 40 | 20 | 15 | 170 | 65 | 105 | 25 | 0 | 10 |
| 26. Biological and biomedical sciences | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 25 | 30 | 0 | 0 | 0 |
| 30.01 Biological and physical sciences | 0 | 0 | 0 | 20 | 0 | 15 | 45 | 10 | 30 | 0 | 0 | 0 |
| 30C Other interdisciplinary physical and life sciences176 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 40. Physical sciences | 0 | 0 | 0 | 15 | 15 | 0 | 65 | 30 | 30 | 10 | 0 | 0 |
| 41. Science technologies/technicians | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Mathematics, computer and information sciences | 20 | 15 | 0 | 20 | 0 | 15 | 185 | 125 | 60 | 15 | 15 | 0 |
| 11. Computer and information sciences and support services | 20 | 15 | 0 | 20 | 0 | 15 | 160 | 110 | 50 | 10 | 10 | 0 |
| 25. Library science | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 27. Mathematics and statistics | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 20 | 10 | 0 | 0 | 0 |
| 30D Interdisciplinary mathematics, computer and information sciences177 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Architecture, engineering, and related trades | 45 | 40 | 0 | 85 | 75 | 15 | 970 | 830 | 140 | 100 | 80 | 20 |
| 04. Architecture and related services | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 10 | 25 | 0 | 0 | 0 |
| 14. Engineering | 15 | 15 | 0 | 70 | 70 | 0 | 390 | 310 | 75 | 50 | 45 | 10 |
| 15. Engineering/engineering-related technologies/technicians | 0 | 0 | 0 | 0 | 0 | 0 | 240 | 210 | 35 | 25 | 15 | 10 |
| 30.12 Historic preservation and conservation | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 46. Construction trades | 10 | 10 | 0 | 0 | 0 | 0 | 150 | 145 | 0 | 10 | 10 | 0 |
| 47. Mechanic and repair technologies/technicians | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 100 | 10 | 0 | 0 | 0 |
| 48. Precision production | 10 | 10 | 0 | 0 | 0 | 0 | 50 | 45 | 0 | 10 | 10 | 0 |
| Agriculture, natural resources and conservation | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 20 | 25 | 0 | 0 | 0 |
| 01. Agricultural and veterinary sciences/services/operations and related fields178 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 15 | 20 | 0 | 0 | 0 |
| 03. Natural resources and conservation | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 10 | 0 | 0 | 0 |
| Health and related fields | 25 | 0 | 25 | 75 | 15 | 60 | 635 | 110 | 525 | 95 | 35 | 65 |
| 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 | 30 | 10 | 20 | 10 | 0 | 0 |
| 51. Health professions and related programs178 | 25 | 0 | 25 | 75 | 15 | 55 | 595 | 95 | 500 | 80 | 25 | 60 |
| 60. Health professions residency/fellowship programs | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 61. Medical residency/fellowship programs | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Personal, protective and transportation services | 0 | 0 | 0 | 10 | 0 | 10 | 150 | 110 | 40 | 40 | 20 | 20 |
| 12. Culinary, entertainment, and personal services | 0 | 0 | 0 | 10 | 0 | 10 | 60 | 30 | 30 | 25 | 15 | 15 |
| 28. Military science, leadership and operational art | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 29. Military technologies and applied sciences | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 43. Security and protective services | 0 | 0 | 0 | 0 | 0 | 0 | 65 | 50 | 10 | 0 | 0 | 0 |
| 49. Transportation and materials moving | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 20 | 0 | 10 | 10 | 0 |
| Other179 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 265 | 120 | 150 | 640 | 305 | 335 | 5,335 | 2,625 | 2,710 | 655 | 335 | 320 |
| No postsecondary certificate, diploma or degree | 100 | 30 | 65 | 60 | 30 | 25 | 1,200 | 630 | 570 | 95 | 50 | 45 |
| Postsecondary certificate, diploma or degree181 | 175 | 90 | 85 | 580 | 270 | 310 | 4,135 | 2,000 | 2,140 | 560 | 280 | 280 |
| Location of study inside Canada | 160 | 85 | 75 | 420 | 200 | 220 | 3,055 | 1,475 | 1,580 | 495 | 250 | 240 |
| Same as province or territory of residence | 100 | 50 | 50 | 240 | 100 | 135 | 2,070 | 1,005 | 1,065 | 315 | 175 | 140 |
| Different than province or territory of residence | 60 | 30 | 25 | 180 | 95 | 80 | 980 | 465 | 515 | 180 | 80 | 100 |
| Location of study outside Canada182 | 15 | 10 | 10 | 160 | 70 | 90 | 1,080 | 525 | 560 | 65 | 30 | 40 |
| Americas | 10 | 0 | 10 | 40 | 20 | 20 | 300 | 185 | 115 | 20 | 10 | 15 |
| United States of America | 10 | 0 | 10 | 35 | 20 | 15 | 175 | 130 | 50 | 10 | 10 | 10 |
| Mexico | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 15 | 15 | 0 | 0 | 0 |
| Cuba | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Haiti | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Jamaica | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Brazil | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Colombia | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 15 | 0 | 0 | 0 |
| Peru | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Venezuela95 | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 25 | 30 | 0 | 0 | 0 |
| Other locations of study in Americas | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Europe | 0 | 0 | 0 | 40 | 20 | 20 | 220 | 110 | 110 | 25 | 20 | 10 |
| Belgium | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| France | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 0 |
| Germany | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Netherlands | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Switzerland | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Hungary | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Moldova183 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 0 | 0 |
| Poland | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Romania | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 10 | 0 | 0 | 0 |
| Russian Federation | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 10 | 25 | 0 | 0 | 0 |
| Ukraine | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 10 | 0 | 0 | 0 |
| Ireland96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| United Kingdom87 | 0 | 0 | 0 | 20 | 10 | 10 | 120 | 75 | 50 | 10 | 0 | 0 |
| Bosnia and Herzegovina | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Italy | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Serbia86 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Other locations of study in Europe | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Africa | 0 | 0 | 0 | 0 | 0 | 0 | 70 | 35 | 35 | 0 | 0 | 0 |
| Nigeria | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 20 | 10 | 0 | 0 | 0 |
| Algeria | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Morocco | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Tunisia | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Egypt | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 10 | 0 | 0 | 0 |
| South Africa, Republic of | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 0 | 0 | 0 | 0 |
| Other locations of study in Africa | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 10 | 0 | 0 | 0 |
| Asia | 0 | 0 | 0 | 75 | 35 | 45 | 455 | 165 | 290 | 10 | 0 | 10 |
| Iran88 | 0 | 0 | 0 | 15 | 10 | 10 | 0 | 0 | 0 | 0 | 0 | 0 |
| Iraq | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Israel | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 0 | 0 |
| Lebanon | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Syria89 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Turkey | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| China90 | 0 | 0 | 0 | 20 | 10 | 15 | 50 | 20 | 30 | 0 | 0 | 0 |
| Taiwan | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Hong Kong91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Japan | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Korea, South92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Philippines | 0 | 0 | 0 | 10 | 0 | 10 | 200 | 70 | 130 | 0 | 0 | 0 |
| Viet Nam | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Bangladesh | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Sri Lanka | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| India | 0 | 0 | 0 | 25 | 10 | 15 | 135 | 60 | 80 | 0 | 0 | 0 |
| Pakistan | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0 | 15 | 0 | 0 | 0 |
| Other locations of study in Asia | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 0 | 0 |
| Oceania | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 25 | 10 | 10 | 0 | 0 |
| Australia | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 15 | 10 | 10 | 0 | 0 |
| New Zealand | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 0 | 0 | 0 |
| Other locations of study in Oceania | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Labour force status | ||||||||||||
| Total - Population aged 15 years and over by labour force status - 25% sample data184 | 355 | 185 | 170 | 1,065 | 520 | 545 | 6,855 | 3,350 | 3,505 | 805 | 380 | 425 |
| In the labour force | 240 | 120 | 120 | 685 | 375 | 310 | 5,170 | 2,715 | 2,455 | 665 | 325 | 340 |
| Employed | 220 | 110 | 110 | 580 | 325 | 255 | 4,705 | 2,460 | 2,240 | 585 | 280 | 305 |
| Unemployed | 20 | 15 | 0 | 105 | 50 | 50 | 470 | 250 | 210 | 80 | 45 | 30 |
| Not in the labour force | 115 | 60 | 55 | 380 | 135 | 240 | 1,685 | 630 | 1,050 | 140 | 55 | 85 |
| Participation rate | 67.6 | 64.9 | 70.6 | 64.3 | 72.1 | 56.9 | 75.4 | 81.0 | 70.0 | 82.6 | 85.5 | 80.0 |
| Employment rate | 62.0 | 59.5 | 64.7 | 54.5 | 62.5 | 46.8 | 68.6 | 73.4 | 63.9 | 72.7 | 73.7 | 71.8 |
| Unemployment rate | 8.3 | 12.5 | 0.0 | 15.3 | 13.3 | 16.1 | 9.1 | 9.2 | 8.6 | 12.0 | 13.8 | 8.8 |
| Work activity during the reference year | ||||||||||||
| Total - Population aged 15 years and over by work activity during the reference year - 25% sample data185 | 350 | 180 | 170 | 1,065 | 515 | 550 | 6,855 | 3,350 | 3,505 | 810 | 380 | 420 |
| Did not work186 | 120 | 70 | 50 | 400 | 155 | 240 | 1,720 | 660 | 1,060 | 160 | 60 | 100 |
| Worked | 230 | 110 | 120 | 670 | 360 | 310 | 5,135 | 2,685 | 2,445 | 645 | 320 | 320 |
| Worked full year full time187 | 120 | 70 | 50 | 345 | 210 | 135 | 2,945 | 1,690 | 1,250 | 375 | 205 | 170 |
| Worked part year and/or part time188 | 115 | 45 | 70 | 325 | 150 | 175 | 2,190 | 995 | 1,195 | 270 | 115 | 155 |
| Average weeks worked in reference year | 41.8 | 42.8 | 41.2 | 40.1 | 42.3 | 37.6 | 42.3 | 43.1 | 41.4 | 42.5 | 43.4 | 41.7 |
| Class of worker including job permanency | ||||||||||||
| Total - Labour force aged 15 years and over by class of worker including job permanency - 25% sample data189 | 235 | 120 | 120 | 690 | 380 | 305 | 5,170 | 2,715 | 2,455 | 665 | 330 | 340 |
| Class of worker - not applicable190 | 0 | 0 | 0 | 40 | 15 | 25 | 110 | 55 | 50 | 0 | 0 | 0 |
| All classes of workers191 | 230 | 110 | 120 | 645 | 360 | 280 | 5,060 | 2,660 | 2,405 | 660 | 325 | 340 |
| Employee | 185 | 95 | 90 | 500 | 270 | 225 | 4,255 | 2,175 | 2,080 | 560 | 280 | 280 |
| Permanent position | 170 | 95 | 75 | 355 | 195 | 160 | 3,725 | 1,935 | 1,790 | 490 | 255 | 240 |
| Temporary position | 15 | 0 | 10 | 140 | 75 | 65 | 530 | 240 | 290 | 70 | 30 | 40 |
| Fixed term (1 year or more) | 0 | 0 | 0 | 40 | 20 | 15 | 195 | 70 | 125 | 35 | 15 | 20 |
| Casual, seasonal or short-term position (less than 1 year) | 10 | 0 | 10 | 110 | 60 | 50 | 335 | 170 | 165 | 35 | 15 | 20 |
| Self-employed192 | 45 | 20 | 30 | 145 | 90 | 55 | 805 | 480 | 325 | 105 | 45 | 60 |
| 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 | 235 | 120 | 120 | 690 | 380 | 305 | 5,170 | 2,715 | 2,455 | 665 | 330 | 340 |
| Occupation - not applicable190 | 0 | 0 | 0 | 40 | 15 | 25 | 110 | 55 | 50 | 0 | 0 | 0 |
| All occupations191 | 230 | 110 | 120 | 645 | 360 | 280 | 5,060 | 2,660 | 2,405 | 660 | 325 | 340 |
| 0 Legislative and senior management occupations | 0 | 0 | 0 | 30 | 30 | 0 | 80 | 60 | 25 | 0 | 0 | 0 |
| 1 Business, finance and administration occupations | 50 | 10 | 35 | 175 | 95 | 85 | 1,080 | 315 | 765 | 170 | 75 | 95 |
| 2 Natural and applied sciences and related occupations | 40 | 25 | 10 | 80 | 55 | 20 | 665 | 465 | 195 | 50 | 40 | 10 |
| 3 Health occupations | 15 | 0 | 15 | 70 | 15 | 55 | 500 | 70 | 425 | 85 | 20 | 70 |
| 4 Occupations in education, law and social, community and government services | 25 | 15 | 10 | 85 | 35 | 50 | 510 | 220 | 295 | 65 | 15 | 50 |
| 5 Occupations in art, culture, recreation and sport | 10 | 0 | 10 | 40 | 20 | 25 | 120 | 60 | 60 | 45 | 20 | 25 |
| 6 Sales and service occupations | 45 | 20 | 30 | 95 | 50 | 45 | 1,075 | 540 | 535 | 140 | 60 | 75 |
| 7 Trades, transport and equipment operators and related occupations | 45 | 40 | 0 | 45 | 40 | 0 | 805 | 725 | 75 | 85 | 70 | 15 |
| 8 Natural resources, agriculture and related production occupations | 0 | 0 | 0 | 15 | 15 | 0 | 90 | 75 | 10 | 0 | 0 | 0 |
| 9 Occupations in manufacturing and utilities | 0 | 0 | 0 | 10 | 10 | 0 | 130 | 115 | 20 | 20 | 20 | 0 |
| 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 | 235 | 120 | 120 | 690 | 380 | 305 | 5,170 | 2,715 | 2,455 | 665 | 330 | 340 |
| Industry - not applicable190 | 0 | 0 | 0 | 40 | 15 | 25 | 110 | 55 | 50 | 0 | 0 | 0 |
| All industries191 | 230 | 110 | 120 | 645 | 360 | 280 | 5,060 | 2,660 | 2,405 | 660 | 325 | 340 |
| 11 Agriculture, forestry, fishing and hunting | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 15 | 10 | 0 | 0 | 0 |
| 21 Mining, quarrying, and oil and gas extraction | 15 | 0 | 10 | 45 | 40 | 0 | 280 | 205 | 80 | 50 | 35 | 20 |
| 22 Utilities | 0 | 0 | 0 | 30 | 15 | 10 | 55 | 45 | 10 | 15 | 10 | 10 |
| 23 Construction | 35 | 25 | 0 | 15 | 15 | 0 | 570 | 460 | 110 | 70 | 50 | 20 |
| 31-33 Manufacturing | 15 | 15 | 0 | 15 | 10 | 0 | 205 | 155 | 55 | 25 | 20 | 0 |
| 41 Wholesale trade | 0 | 0 | 0 | 30 | 20 | 15 | 250 | 180 | 75 | 20 | 10 | 0 |
| 44-45 Retail trade | 15 | 0 | 10 | 15 | 10 | 10 | 470 | 240 | 230 | 70 | 25 | 45 |
| 48-49 Transportation and warehousing | 20 | 15 | 0 | 20 | 15 | 10 | 305 | 210 | 90 | 40 | 25 | 15 |
| 51 Information and cultural industries | 15 | 0 | 10 | 15 | 10 | 10 | 120 | 75 | 45 | 15 | 15 | 0 |
| 52 Finance and insurance | 10 | 0 | 10 | 50 | 30 | 20 | 210 | 85 | 120 | 10 | 0 | 0 |
| 53 Real estate and rental and leasing | 10 | 0 | 0 | 10 | 10 | 0 | 85 | 35 | 50 | 10 | 10 | 0 |
| 54 Professional, scientific and technical services | 20 | 20 | 0 | 140 | 105 | 35 | 610 | 345 | 265 | 85 | 30 | 55 |
| 55 Management of companies and enterprises | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 0 | 25 | 0 | 0 | 0 |
| 56 Administrative and support, waste management and remediation services | 0 | 0 | 0 | 20 | 15 | 0 | 155 | 80 | 70 | 15 | 10 | 0 |
| 61 Educational services | 10 | 0 | 0 | 45 | 0 | 40 | 285 | 75 | 205 | 20 | 0 | 15 |
| 62 Health care and social assistance | 35 | 0 | 35 | 80 | 20 | 65 | 710 | 105 | 605 | 100 | 20 | 75 |
| 71 Arts, entertainment and recreation | 0 | 0 | 0 | 35 | 20 | 15 | 80 | 35 | 45 | 20 | 10 | 10 |
| 72 Accommodation and food services | 0 | 0 | 0 | 40 | 15 | 20 | 200 | 90 | 115 | 35 | 20 | 10 |
| 81 Other services (except public administration) | 10 | 0 | 0 | 15 | 0 | 15 | 200 | 80 | 120 | 45 | 15 | 25 |
| 91 Public administration | 0 | 0 | 0 | 15 | 0 | 10 | 215 | 135 | 75 | 25 | 10 | 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 | 250 | 120 | 130 | 710 | 390 | 325 | 5,390 | 2,795 | 2,595 | 695 | 350 | 350 |
| English | 240 | 110 | 130 | 695 | 385 | 305 | 5,205 | 2,715 | 2,495 | 660 | 325 | 340 |
| French | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Non-official language | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 15 | 20 | 10 | 0 | 0 |
| Indigenous39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Non-Indigenous | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 15 | 20 | 10 | 0 | 0 |
| English and French | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 15 | 20 | 20 | 10 | 0 |
| English and non-official language(s) | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 50 | 55 | 10 | 0 | 0 |
| French and non-official language(s) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 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 | 250 | 120 | 130 | 710 | 390 | 325 | 5,390 | 2,795 | 2,595 | 695 | 350 | 350 |
| Single responses | 250 | 120 | 130 | 705 | 385 | 320 | 5,370 | 2,785 | 2,585 | 695 | 340 | 350 |
| Official languages | 250 | 120 | 130 | 705 | 385 | 320 | 5,325 | 2,760 | 2,560 | 685 | 345 | 340 |
| English | 245 | 115 | 130 | 700 | 385 | 315 | 5,310 | 2,755 | 2,550 | 670 | 330 | 340 |
| French | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 10 | 0 | 0 | 0 |
| Non-official languages | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 25 | 25 | 10 | 0 | 0 |
| Indigenous languages39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 |
| Assiniboine | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Dakota | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Stoney | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Siouan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Tsimshian languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Gitxsan (Gitksan) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Nisga'a | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Tsimshian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Wakashan languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Haisla | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Heiltsuk | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Kwak'wala (Kwakiutl) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Nuu-chah-nulth (Nootka) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Wakashan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Indigenous languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Indigenous languages, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Non-Indigenous languages | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 25 | 25 | 10 | 0 | 0 |
| Afro-Asiatic languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 |
| Bilen | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Oromo | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Somali | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Cushitic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Semitic languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Amharic | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Arabic | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 |
| Semitic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Austro-Asiatic languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Khmer (Cambodian) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Vietnamese | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 15 | 0 | 10 | 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 | 0 | 0 | 0 | 0 | 0 | 0 |
| Indonesian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Kankanaey | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Malagasy languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Malay | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Pampangan (Kapampangan, Pampango) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Pangasinan | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Tagalog (Pilipino, Filipino) | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 10 | 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 | 0 | 0 | 0 | 0 | 0 | 0 |
| Kannada | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Malayalam | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Tamil | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 15 | 10 | 10 | 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 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 |
| Bulgarian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Czech | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Macedonian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Polish | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Russian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Serbo-Croatian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Bosnian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Croatian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Serbian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Serbo-Croatian, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Slovak | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Slovene (Slovenian) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Ukrainian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 |
| German | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 |
| Afrikaans | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Dutch | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 |
| Indo-Iranian languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Indo-Aryan languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Bengali | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Gujarati | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Hindi | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Kacchi | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Marathi | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Nepali | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Punjabi (Panjabi) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 |
| Kurdish | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Pashto | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Persian languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Dari | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Iranian Persian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 |
| Catalan | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Italian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Portuguese | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Romanian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Spanish | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 |
| Japanese | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Korean | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Mongolian | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Niger-Congo languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 |
| Niger-Congo languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Nilo-Saharan languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Dinka | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Nilo-Saharan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Sign languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| American Sign Language | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 |
| Sino-Tibetan languages | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 10 | 10 | 0 | 0 | 0 |
| Chinese languages | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 10 | 10 | 0 | 0 | 0 |
| Hakka | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Mandarin | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 10 | 10 | 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 | 0 | 0 | 0 | 0 | 0 | 0 |
| Chinese, n.o.s. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Chinese languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Tibeto-Burman languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Burmese | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Karenic languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| S'gaw Karen | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Karenic languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Tibetan | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Tibeto-Burman languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Sino-Tibetan languages, n.i.e. | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Tai-Kadai languages | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Lao | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Thai | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 |
| Azerbaijani | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Turkish | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 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 | 20 | 10 | 10 | 0 | 0 | 0 |
| English and French | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| English and non-official language(s) | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 0 | 0 | 0 | 0 |
| French and non-official language(s) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 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 | 250 | 120 | 130 | 710 | 390 | 325 | 5,390 | 2,795 | 2,595 | 695 | 350 | 350 |
| None | 240 | 110 | 130 | 705 | 390 | 320 | 5,260 | 2,740 | 2,525 | 675 | 335 | 340 |
| English | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 10 | 10 | 10 | 0 | 0 |
| French | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 15 | 10 | 15 | 10 | 0 |
| Non-official language | 0 | 0 | 0 | 0 | 0 | 0 | 65 | 30 | 40 | 0 | 0 | 0 |
| Indigenous39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Non-Indigenous | 0 | 0 | 0 | 0 | 0 | 0 | 65 | 30 | 40 | 0 | 0 | 0 |
| English and French | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| English and non-official language(s) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| French and non-official language(s) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 15 | 0 | 10 | 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 | 110 | 580 | 325 | 260 | 4,705 | 2,465 | 2,240 | 585 | 280 | 305 |
| Worked at home | 65 | 20 | 50 | 260 | 160 | 100 | 1,425 | 695 | 725 | 225 | 95 | 130 |
| Worked outside Canada | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 20 | 10 | 0 | 0 | 0 |
| No fixed workplace address | 35 | 20 | 15 | 40 | 30 | 10 | 570 | 445 | 130 | 70 | 50 | 25 |
| Usual place of work | 120 | 70 | 50 | 280 | 140 | 135 | 2,680 | 1,300 | 1,380 | 285 | 135 | 150 |
| 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 | 70 | 50 | 275 | 140 | 135 | 2,680 | 1,300 | 1,380 | 285 | 135 | 150 |
| Commute within census subdivision (CSD) of residence | 120 | 65 | 50 | 240 | 120 | 120 | 2,365 | 1,130 | 1,230 | 275 | 135 | 140 |
| Commute to a different census subdivision (CSD) within census division (CD) of residence | 0 | 0 | 0 | 20 | 0 | 15 | 225 | 105 | 115 | 0 | 0 | 0 |
| Commute to a different census subdivision (CSD) and census division (CD) within province or territory of residence | 0 | 0 | 0 | 10 | 10 | 0 | 65 | 35 | 30 | 0 | 0 | 0 |
| Commute to a different province or territory | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 30 | 0 | 10 | 0 | 10 |
| 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 | 155 | 90 | 60 | 320 | 170 | 150 | 3,250 | 1,745 | 1,510 | 355 | 180 | 175 |
| Car, truck or van | 140 | 85 | 50 | 260 | 140 | 120 | 3,030 | 1,640 | 1,390 | 305 | 145 | 155 |
| Car, truck or van - as a driver | 130 | 85 | 50 | 250 | 130 | 120 | 2,865 | 1,600 | 1,265 | 290 | 140 | 145 |
| Car, truck or van - as a passenger | 0 | 0 | 0 | 10 | 10 | 0 | 165 | 40 | 125 | 15 | 0 | 10 |
| Public transit | 0 | 0 | 0 | 20 | 15 | 0 | 70 | 15 | 55 | 25 | 20 | 10 |
| Walked | 0 | 0 | 0 | 25 | 0 | 20 | 50 | 20 | 20 | 10 | 10 | 0 |
| Bicycle | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 20 | 0 | 0 | 0 | 0 |
| Other method | 0 | 0 | 0 | 15 | 0 | 10 | 80 | 50 | 35 | 15 | 0 | 10 |
| 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 | 155 | 90 | 60 | 320 | 170 | 150 | 3,250 | 1,745 | 1,510 | 355 | 180 | 175 |
| Less than 15 minutes | 30 | 10 | 20 | 60 | 20 | 40 | 625 | 260 | 370 | 120 | 60 | 65 |
| 15 to 29 minutes | 90 | 65 | 25 | 160 | 80 | 80 | 1,510 | 850 | 665 | 170 | 85 | 90 |
| 30 to 44 minutes | 30 | 15 | 15 | 70 | 40 | 25 | 850 | 475 | 375 | 25 | 15 | 10 |
| 45 to 59 minutes | 0 | 0 | 0 | 10 | 10 | 0 | 170 | 95 | 70 | 0 | 0 | 0 |
| 60 minutes and over | 0 | 0 | 0 | 25 | 20 | 0 | 100 | 65 | 30 | 35 | 20 | 15 |
| Time leaving for work | ||||||||||||
| Total - Time leaving for work for the employed labour force aged 15 years and over with a usual place of work or no fixed workplace address - 25% sample data202 | 155 | 90 | 60 | 320 | 170 | 150 | 3,250 | 1,745 | 1,510 | 355 | 180 | 175 |
| Between 5 a.m. and 5:59 a.m. | 20 | 20 | 0 | 0 | 0 | 0 | 245 | 190 | 55 | 15 | 0 | 10 |
| Between 6 a.m. and 6:59 a.m. | 35 | 20 | 15 | 40 | 25 | 15 | 740 | 435 | 310 | 60 | 50 | 15 |
| Between 7 a.m. and 7:59 a.m. | 35 | 20 | 25 | 120 | 60 | 60 | 865 | 460 | 405 | 105 | 45 | 60 |
| Between 8 a.m. and 8:59 a.m. | 20 | 10 | 10 | 65 | 20 | 40 | 625 | 320 | 305 | 65 | 30 | 30 |
| Between 9 a.m. and 11:59 a.m. | 20 | 10 | 10 | 60 | 35 | 25 | 350 | 120 | 225 | 70 | 35 | 30 |
| Between 12 p.m. and 4:59 a.m. | 35 | 15 | 15 | 40 | 25 | 15 | 430 | 220 | 210 | 45 | 20 | 25 |
| Children eligible for instruction in the minority official language | ||||||||||||
| Total - Eligibility for instruction in the minority official language for the population in private households born in 2003 or later - 100% data203 | 70 | 30 | 40 | 270 | 140 | 130 | 2,660 | 1,360 | 1,300 | 140 | 85 | 55 |
| Children eligible for instruction in the minority official language | 5 | 0 | 0 | 30 | 10 | 20 | 180 | 95 | 85 | 15 | 5 | 5 |
| Children not eligible for instruction in the minority official language | 70 | 30 | 40 | 240 | 125 | 115 | 2,485 | 1,265 | 1,220 | 125 | 80 | 45 |
| 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 | 45 | 15 | 30 | 235 | 125 | 110 | 1,835 | 935 | 900 | 85 | 55 | 30 |
| Children eligible for instruction in the minority official language | 0 | 0 | 5 | 30 | 15 | 20 | 130 | 75 | 60 | 5 | 5 | 5 |
| Eligible children who have been instructed in the minority official language at the primary or secondary level in Canada | 5 | 0 | 0 | 20 | 10 | 10 | 60 | 35 | 25 | 5 | 5 | 0 |
| Eligible children who have not been instructed in the minority official language at the primary or secondary level in Canada | 0 | 0 | 0 | 10 | 5 | 5 | 75 | 35 | 35 | 0 | 0 | 0 |
| Children not eligible for instruction in the minority official language | 45 | 15 | 30 | 205 | 110 | 95 | 1,705 | 865 | 845 | 80 | 50 | 30 |
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 9, 2024).
Note(s):
- Date modified: