[36100478] Supply and use tables, detail level, provincial and territorial
Retrieved by DBnomics on November 7, 2025 (3:38 AM).
This dataset has 1,596,004 series:
- from
- 2010=3,718,528,692
- to
- 2022=6,217,706,316
- min:
- 3,718,528,692
- max:
- 6,217,706,316
- avg:
- 4,604,866,576.692
- σ:
- 642,325,602.952
- from
- 2010=4,784,382
- to
- 2022=7,017,765
- min:
- 4,535,307
- max:
- 7,017,765
- avg:
- 5,465,726.692
- σ:
- 693,965.045
- from
- 2010=11,468,922
- to
- 2022=13,149,332
- min:
- 10,667,643
- max:
- 14,043,318
- avg:
- 12,616,534.385
- σ:
- 1,157,665.442
- from
- 2010=7,291,291
- to
- 2022=11,587,694
- min:
- 7,257,016
- max:
- 11,587,694
- avg:
- 9,306,256.385
- σ:
- 1,463,742.563
- from
- 2010=6,032,083
- to
- 2022=10,894,392
- min:
- 6,032,083
- max:
- 10,894,392
- avg:
- 7,954,408.385
- σ:
- 1,477,039.543
- from
- 2010=523,039
- to
- 2021=539,208
- min:
- 493,640
- max:
- 584,533
- avg:
- 535,875.167
- σ:
- 25,070.632
- from
- 2010=4,325,791
- to
- 2021=6,519,984
- min:
- 4,320,501
- max:
- 6,519,984
- avg:
- 5,306,165.917
- σ:
- 708,528.839
- from
- 2010=2,521,411
- to
- 2022=3,644,567
- min:
- 2,521,411
- max:
- 3,672,026
- avg:
- 3,245,545.923
- σ:
- 411,009.384
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- 2010=2,960,676
- to
- 2022=4,828,120
- min:
- 2,944,867
- max:
- 4,828,120
- avg:
- 3,659,764.154
- σ:
- 590,518.413
- from
- 2010=2,295,783
- to
- 2022=4,728,537
- min:
- 2,288,173
- max:
- 4,728,537
- avg:
- 3,299,164
- σ:
- 717,779.628
| Series code | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| [1.1.2.1.1] | 3718528692 | 3979323552 | 4120193927 | 4089562820 | 4308686193 | 4348057766 | 4402327001 | 4640073531 | 4866162832 | 5014969674 | 4760025508 | 5397647685 | 6217706316 |
| [1.1.2.1.10] | 4784382 | 4535307 | 4574784 | 4911010 | 5231583 | 5128180 | 5321276 | 5531665 | 6045480 | 6181542 | 5959440 | 5832033 | 7017765 |
| [1.1.2.1.100] | 11468922 | 10667643 | 11044515 | 11389679 | 11850914 | 12430026 | 12992149 | 13497865 | 13614994 | 13860444 | 14005146 | 14043318 | 13149332 |
| [1.1.2.1.101] | 7291291 | 7257016 | 7622011 | 7999339 | 8348333 | 8827802 | 9443577 | 9798075 | 10261625 | 10434183 | 10796237 | 11314150 | 11587694 |
| [1.1.2.1.102] | 6032083 | 6077567 | 6370207 | 6687053 | 7015107 | 7465849 | 7894906 | 8152161 | 8577696 | 8948311 | 9399717 | 9892260 | 10894392 |
| [1.1.2.1.104] | 523039 | 507636 | 507584 | 527628 | 535992 | 584533 | 562771 | 540525 | 562611 | 545335 | 493640 | 539208 | - |
| [1.1.2.1.105] | 4325791 | 4320501 | 4414028 | 4799871 | 4962551 | 5281742 | 5521673 | 5687731 | 5895700 | 6073221 | 5871198 | 6519984 | - |
| [1.1.2.1.106] | 2521411 | 2601091 | 2704363 | 2862180 | 3189514 | 3312530 | 3377975 | 3532939 | 3672026 | 3668762 | 3564124 | 3540615 | 3644567 |
| [1.1.2.1.107] | 2960676 | 2944867 | 3071358 | 3087957 | 3277484 | 3461627 | 3648662 | 3759173 | 3974437 | 3996681 | 3888885 | 4677007 | 4828120 |
| [1.1.2.1.108] | 2295783 | 2288173 | 2387890 | 2843011 | 2975343 | 3291059 | 3343738 | 3371283 | 3555394 | 3596684 | 4009727 | 4202510 | 4728537 |
This dataset has 1,596,004 series:
- from
- 2010=3,718,528,692
- to
- 2022=6,217,706,316
- min:
- 3,718,528,692
- max:
- 6,217,706,316
- avg:
- 4,604,866,576.692
- σ:
- 642,325,602.952
- from
- 2010=4,784,382
- to
- 2022=7,017,765
- min:
- 4,535,307
- max:
- 7,017,765
- avg:
- 5,465,726.692
- σ:
- 693,965.045
- from
- 2010=11,468,922
- to
- 2022=13,149,332
- min:
- 10,667,643
- max:
- 14,043,318
- avg:
- 12,616,534.385
- σ:
- 1,157,665.442
- from
- 2010=7,291,291
- to
- 2022=11,587,694
- min:
- 7,257,016
- max:
- 11,587,694
- avg:
- 9,306,256.385
- σ:
- 1,463,742.563
- from
- 2010=6,032,083
- to
- 2022=10,894,392
- min:
- 6,032,083
- max:
- 10,894,392
- avg:
- 7,954,408.385
- σ:
- 1,477,039.543
- from
- 2010=523,039
- to
- 2021=539,208
- min:
- 493,640
- max:
- 584,533
- avg:
- 535,875.167
- σ:
- 25,070.632
- from
- 2010=4,325,791
- to
- 2021=6,519,984
- min:
- 4,320,501
- max:
- 6,519,984
- avg:
- 5,306,165.917
- σ:
- 708,528.839
- from
- 2010=2,521,411
- to
- 2022=3,644,567
- min:
- 2,521,411
- max:
- 3,672,026
- avg:
- 3,245,545.923
- σ:
- 411,009.384
- from
- 2010=2,960,676
- to
- 2022=4,828,120
- min:
- 2,944,867
- max:
- 4,828,120
- avg:
- 3,659,764.154
- σ:
- 590,518.413
- from
- 2010=2,295,783
- to
- 2022=4,728,537
- min:
- 2,288,173
- max:
- 4,728,537
- avg:
- 3,299,164
- σ:
- 717,779.628
| Series code | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| [1.1.2.1.1] | 3718528692 | 3979323552 | 4120193927 | 4089562820 | 4308686193 | 4348057766 | 4402327001 | 4640073531 | 4866162832 | 5014969674 | 4760025508 | 5397647685 | 6217706316 |
| [1.1.2.1.10] | 4784382 | 4535307 | 4574784 | 4911010 | 5231583 | 5128180 | 5321276 | 5531665 | 6045480 | 6181542 | 5959440 | 5832033 | 7017765 |
| [1.1.2.1.100] | 11468922 | 10667643 | 11044515 | 11389679 | 11850914 | 12430026 | 12992149 | 13497865 | 13614994 | 13860444 | 14005146 | 14043318 | 13149332 |
| [1.1.2.1.101] | 7291291 | 7257016 | 7622011 | 7999339 | 8348333 | 8827802 | 9443577 | 9798075 | 10261625 | 10434183 | 10796237 | 11314150 | 11587694 |
| [1.1.2.1.102] | 6032083 | 6077567 | 6370207 | 6687053 | 7015107 | 7465849 | 7894906 | 8152161 | 8577696 | 8948311 | 9399717 | 9892260 | 10894392 |
| [1.1.2.1.104] | 523039 | 507636 | 507584 | 527628 | 535992 | 584533 | 562771 | 540525 | 562611 | 545335 | 493640 | 539208 | - |
| [1.1.2.1.105] | 4325791 | 4320501 | 4414028 | 4799871 | 4962551 | 5281742 | 5521673 | 5687731 | 5895700 | 6073221 | 5871198 | 6519984 | - |
| [1.1.2.1.106] | 2521411 | 2601091 | 2704363 | 2862180 | 3189514 | 3312530 | 3377975 | 3532939 | 3672026 | 3668762 | 3564124 | 3540615 | 3644567 |
| [1.1.2.1.107] | 2960676 | 2944867 | 3071358 | 3087957 | 3277484 | 3461627 | 3648662 | 3759173 | 3974437 | 3996681 | 3888885 | 4677007 | 4828120 |
| [1.1.2.1.108] | 2295783 | 2288173 | 2387890 | 2843011 | 2975343 | 3291059 | 3343738 | 3371283 | 3555394 | 3596684 | 4009727 | 4202510 | 4728537 |
The supply and use tables replace the archived input-output tables (Tables 36-10-0415 and 36-10-0416). Data in this table are not fully comparable with those previously published. Supply and use tables are now available on the Statistics Canada web site in Comma Separated Value (.csv) files and Excel spreadsheet (.xlsx) files. This data is available at the following link: 15-602-x2017001 (opens new window)." The supply and use tables are built around three classification systems, namely the Input-Output Industry Classification (IOIC), the Input-Output Final Demand Classification (IOFDC), and the Supply and Use Product Classification (SUPC). These classifications are available upon request. The Input-Output Industry Classification (IOIC) for reference years 2010 to 2013 reflect the 2012 North American Industry Classification System (NAICS) (opens new window); reference years 2014 to 2021 reflect version 3.0 of the 2017 NAICS (opens new window); and reference years 2022 onward reflect version 1.0 of the 2022 NAICS (opens new window). Concordances and documentation for all time periods are available upon request." The Supply and Use Product Classification (SUPC) for reference years 2010 to 2012 reflect a combination of the 2004 Annual Survey of Manufacturers (opens new window) (for goods) and the provisional version 0.1 of the North American Product Classification System (NAPCS) (opens new window) for services; reference year 2013 reflects version 1.1 of the NAPCS 2012 (opens new window); reference years 2014 to 2021 reflect version 2.0 of the NAPCS 2017 (opens new window); and reference years 2022 onward reflect version 1.0 of the NAPCS 2022 (opens new window). Concordances and documentation for all time periods are available upon request." Starting with the 2013 supply and use tables, the fictive commodities and industries have been eliminated from the tables. The estimates for reference years 2010 to 2013 are based on the 2015 comprehensive revision of the Canadian System of Macroeconomic Accounts. More information about the 2015 comprehensive revision is available in: A preview of the 2015 comprehensive revision of the Canadian System of Macroeconomic Accounts (opens new window)." Beginning with reference year 2014, the estimates are based on the 2019 comprehensive revision of the Canadian System of Macroeconomic Accounts which incorporated revisions to both international travel expenditures and cannabis-related activities. More information about the 2019 comprehensive revision is available in: A preview of the 2019 revision of the Canadian System of Macroeconomic Accounts (opens new window)." Prior to reference year 2013, the Canadian supply and use tables (SUT) showed imports by product valued at c.i.f. (cost, insurance and freight), inclusive of duties. In order to align with the international standard, starting in 2013 the Canadian SUT show imports by product valued at c.i.f., with duties on imports shown explicitly in a separate tax margin table. Prior to reference year 2013, land transfer taxes were presented in the purchaser price supply and use tables (SUT) as direct payments of taxes on products in the final demand construction categories. As of 2013, the SUT will show these payments as included in the purchaser price values and as tax margins.