Data tables, 2016 Census
Commuting Flow from Geography of Residence to Geography of Work - Census Metropolitan Areas and Census Agglomerations: Main Mode of Commuting (10), Commuting Duration (6) and Sex (3) for the Employed Labour Force Aged 15 Years and Over Having a Usual Place of Work, in Private Households, 2016 Census - 25% Sample Data
Data table
| Place of residence |
Place of work |
Main mode of commuting (10) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Total - Main mode of commuting Footnote 1 |
Car, truck or van |
Driver, alone |
2 or more persons shared the ride to work |
Driver, with 1 or more passengers |
Passenger, 2 or more persons in the vehicle |
Sustainable transportation |
Public transit |
Active transport |
Other method |
||
| Toronto | St. John's | 65 | 25 | 20 | 10 | 10 | 0 | 25 | 20 | 10 | 10 |
| Toronto | Charlottetown | 20 | 20 | 15 | 10 | 10 | 10 | 0 | 0 | 0 | 0 |
| Toronto | Halifax | 365 | 115 | 105 | 10 | 10 | 10 | 220 | 80 | 140 | 25 |
| Toronto | Moncton | 25 | 10 | 15 | 0 | 0 | 0 | 10 | 0 | 10 | 0 |
| Toronto | Saint John | 45 | 20 | 15 | 10 | 10 | 0 | 20 | 0 | 15 | 0 |
| Toronto | Fredericton | 25 | 15 | 15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Toronto | Québec | 50 | 30 | 25 | 0 | 10 | 0 | 10 | 0 | 10 | 10 |
| Toronto | Montréal | 980 | 500 | 425 | 75 | 30 | 45 | 380 | 220 | 165 | 95 |
| Toronto | Ottawa - Gatineau | 2,200 | 855 | 720 | 135 | 40 | 90 | 1,265 | 885 | 385 | 80 |
| Toronto | Brockville | 40 | 35 | 30 | 0 | 0 | 0 | 10 | 0 | 10 | 0 |
| Toronto | Petawawa | 60 | 55 | 45 | 15 | 0 | 10 | 0 | 0 | 10 | 0 |
| Toronto | Kingston | 840 | 290 | 240 | 45 | 10 | 40 | 505 | 75 | 425 | 45 |
| Toronto | Belleville | 315 | 290 | 250 | 40 | 20 | 25 | 10 | 10 | 10 | 10 |
| Toronto | Cobourg | 135 | 125 | 120 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Toronto | Port Hope | 165 | 160 | 140 | 20 | 0 | 15 | 0 | 0 | 0 | 0 |
| Toronto | Peterborough | 615 | 450 | 350 | 95 | 55 | 45 | 160 | 125 | 35 | 0 |
| Toronto | Kawartha Lakes | 355 | 315 | 260 | 60 | 30 | 25 | 40 | 20 | 20 | 0 |
| Toronto | Centre Wellington | 185 | 185 | 160 | 25 | 10 | 10 | 0 | 0 | 0 | 0 |
| Toronto | Oshawa | 13,435 | 12,380 | 11,035 | 1,350 | 765 | 585 | 995 | 915 | 80 | 50 |
| Toronto | Ingersoll | 30 | 30 | 35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Toronto | Toronto | 2,328,355 | 1,532,785 | 1,274,835 | 257,950 | 128,445 | 129,505 | 774,525 | 604,780 | 169,745 | 21,050 |
| Toronto | Hamilton | 21,780 | 19,780 | 17,725 | 2,055 | 1,175 | 880 | 1,900 | 1,480 | 415 | 105 |
| Toronto | St. Catharines - Niagara | 1,725 | 1,370 | 1,135 | 235 | 135 | 95 | 335 | 260 | 85 | 15 |
| Toronto | Kitchener - Cambridge - Waterloo | 6,545 | 5,215 | 4,550 | 665 | 430 | 235 | 1,320 | 880 | 440 | 0 |
| Toronto | Brantford | 645 | 600 | 500 | 95 | 65 | 35 | 45 | 35 | 10 | 0 |
| Toronto | Woodstock | 170 | 155 | 115 | 40 | 15 | 30 | 10 | 0 | 10 | 0 |
| Toronto | Norfolk | 120 | 115 | 95 | 20 | 0 | 10 | 0 | 0 | 0 | 0 |
| Toronto | Guelph | 4,410 | 3,820 | 3,400 | 420 | 245 | 175 | 560 | 430 | 125 | 35 |
| Toronto | Stratford | 105 | 80 | 70 | 10 | 0 | 10 | 20 | 10 | 10 | 0 |
| Toronto | London | 1,620 | 930 | 835 | 100 | 50 | 55 | 670 | 495 | 180 | 20 |
| Toronto | Chatham-Kent | 60 | 50 | 55 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
| Toronto | Leamington | 25 | 25 | 15 | 10 | 0 | 0 | 0 | 0 | 0 | 0 |
| Toronto | Windsor | 320 | 245 | 200 | 50 | 20 | 30 | 80 | 45 | 35 | 0 |
| Toronto | Sarnia | 125 | 110 | 90 | 15 | 0 | 10 | 15 | 10 | 15 | 10 |
| Toronto | Wasaga Beach | 30 | 35 | 30 | 0 | 10 | 0 | 0 | 0 | 0 | 0 |
| Toronto | Owen Sound | 70 | 65 | 50 | 15 | 15 | 10 | 10 | 0 | 10 | 0 |
| Toronto | Collingwood | 100 | 90 | 80 | 15 | 0 | 0 | 0 | 0 | 10 | 0 |
| Toronto | Barrie | 3,665 | 3,500 | 3,085 | 415 | 240 | 180 | 150 | 125 | 20 | 15 |
| Toronto | Orillia | 230 | 200 | 185 | 20 | 10 | 10 | 25 | 10 | 20 | 0 |
| Toronto | Midland | 130 | 120 | 105 | 10 | 15 | 0 | 10 | 0 | 10 | 0 |
| Toronto | North Bay | 105 | 45 | 40 | 0 | 0 | 0 | 55 | 45 | 15 | 0 |
| Toronto | Greater Sudbury / Grand Sudbury | 275 | 195 | 125 | 65 | 30 | 40 | 75 | 55 | 15 | 0 |
| Toronto | Timmins | 30 | 20 | 15 | 0 | 10 | 0 | 0 | 0 | 0 | 10 |
| Toronto | Sault Ste. Marie | 65 | 30 | 30 | 0 | 0 | 0 | 30 | 15 | 10 | 0 |
| Toronto | Thunder Bay | 65 | 40 | 30 | 10 | 0 | 0 | 25 | 10 | 10 | 0 |
| Toronto | Winnipeg | 240 | 150 | 115 | 35 | 25 | 10 | 75 | 45 | 35 | 0 |
| Toronto | Regina | 80 | 30 | 30 | 0 | 0 | 0 | 45 | 10 | 35 | 0 |
| Toronto | Saskatoon | 70 | 35 | 30 | 0 | 0 | 0 | 40 | 25 | 15 | 0 |
| Toronto | Calgary | 430 | 210 | 185 | 30 | 0 | 20 | 195 | 115 | 85 | 20 |
| Toronto | Red Deer | 20 | 10 | 0 | 10 | 0 | 10 | 15 | 10 | 10 | 0 |
| Toronto | Edmonton | 345 | 200 | 165 | 35 | 20 | 10 | 130 | 75 | 50 | 15 |
| Toronto | Wood Buffalo | 350 | 115 | 80 | 40 | 15 | 25 | 85 | 60 | 20 | 150 |
| Toronto | Kelowna | 35 | 20 | 20 | 0 | 0 | 0 | 20 | 0 | 15 | 0 |
| Toronto | Vancouver | 660 | 280 | 220 | 60 | 30 | 30 | 365 | 235 | 130 | 20 |
| Toronto | Victoria | 100 | 35 | 25 | 10 | 10 | 0 | 60 | 30 | 25 | 0 |
| Toronto | Prince George | 35 | 15 | 0 | 15 | 10 | 10 | 20 | 15 | 10 | 0 |
| Toronto | Yellowknife | 50 | 20 | 20 | 0 | 0 | 10 | 20 | 0 | 20 | 10 |
Footnote(s)
- Footnote 1
-
The census assumes that the commute to work originates from the usual place of residence, but this may not always be the case. Sometimes, respondents may be on a business trip and may have reported their place of work or main mode of commuting based on where they were working during the trip. Some persons maintain a residence close to work and commute to their home on weekends. Students often work after school at a location near their school. As a result, the data may show unusual commutes or unusual main modes of commuting.
Source: Statistics Canada, 2016 Census of Population, Statistics Canada Catalogue no. 98-400-X2016327.
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