[12100100] Value added in exports, by industry, provincial and territorial
Retrieved by DBnomics on March 26, 2025 (2:59 AM).
For information on data sources and methods, consult Value added exports measurement framework." Beginning with reference year 2013 only, a provincial and territorial dimension has been added to the measures. Imports embodied in exports have also been expanded to show their United States (U.S.) and non-U.S. origins. Domestic exports, excluding re-exports and inventory withdrawals. Domestic exports" is the most relevant variable for analyzing impacts on domestic production in a given year. Total exports have to be calculated as the sum of the three variables: exports Re-exports are products that are imported and that are subject to a change in ownership but that are not subject to any substantial transformations in the domestic economy before being exported. Exports from inventory withdrawals and exports of used assets. Also included taxes on exports. Direct value added attributable to the industry's exports. Total value added within the province or territory attributable to the industry's exports. The sum of direct value added and the value added generated in all other upstream industries within the province or territory. Total value added within the province or territory attributable to the industry's exports across Canada. The sum of the direct value added and the value added generated in all other upstream industries within the province or territory. Total value added attributable to the industry's exports. The sum of the direct value added and the value added generated in all other upstream industries in all provinces and territories. The impact on an industry's value added from exports by all industries. Includes direct value added from the industry's own exports and all indirect value added from the exports by all other industries. Domestic services value added embodied in exports. The sum of direct and indirect imports from the United States embodied in the production of exports. The sum of direct and indirect imports embodied in the production of exports. Direct jobs attributable to the industry's exports. Total jobs attributable to the industry's exports. The sum of direct jobs and the jobs generated in all other upstream industries within the province or territory. Total jobs attributable to the industry's exports across Canada. The sum of direct jobs and the jobs generated in all other upstream industries within the province or territory. Total jobs attributable to the industry's exports. The sum of direct jobs and the jobs generated in all other upstream industries in all provinces and territories. The impact on an industry's jobs from the exports by all industries. Includes direct jobs from the industry's own exports and all indirect jobs from the exports by all other industries. On August 28, 2017, corrections were made to the geographic detail (United States and rest of the world) for two variables: imports of intermediate inputs and import content of exports by industry for all the provinces and territories for 2013. The sum of the United States and rest of the world detail for the two variables also changes due to rounding differences. 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." With the June 11, 2021 release, estimates for the latest two reference years are only available nationally. They are based on advanced estimates of the Canadian supply and use tables that were modelled based on industry indicators of output and gross value added and benchmarked to published income and expenditure account figures.
This dataset has 339,727 series:
- from
- 2007=494,939,312
- to
- 2023=899,380,194
- min:
- 408,396,326
- max:
- 899,380,194
- avg:
- 600,724,587.706
- σ:
- 133,535,799.664
- from
- 2007=494,939,312
- to
- 2023=899,380,194
- min:
- 408,396,326
- max:
- 899,380,194
- avg:
- 600,724,587.706
- σ:
- 133,535,799.664
- from
- 2007=494,939,312
- to
- 2023=899,380,194
- min:
- 408,396,326
- max:
- 899,380,194
- avg:
- 600,724,587.706
- σ:
- 133,535,799.664
- from
- 2007=NA
- to
- 2023=899,380,194
- min:
- 408,396,326
- max:
- 899,380,194
- avg:
- 612,947,259.333
- σ:
- 137,524,443.786
- from
- 2007=582,992
- to
- 2023=408,346
- min:
- 311,485
- max:
- 719,327
- avg:
- 553,808.118
- σ:
- 124,375.5
- from
- 2007=6,166,814
- to
- 2023=6,964,296
- min:
- 3,238,578
- max:
- 14,540,745
- avg:
- 7,384,395
- σ:
- 2,847,668.563
- from
- 2007=NA
- to
- 2023=6,964,296
- min:
- 3,238,578
- max:
- 14,540,745
- avg:
- 7,642,459
- σ:
- 2,925,004.811
- from
- 2007=2,557,981
- to
- 2023=4,898,568
- min:
- 1,328,847
- max:
- 7,149,554
- avg:
- 3,248,745.824
- σ:
- 1,702,278.824
- from
- 2007=NA
- to
- 2023=4,898,568
- min:
- 1,328,847
- max:
- 7,149,554
- avg:
- 3,395,081.667
- σ:
- 1,755,004.252
- from
- 2007=1,936,073
- to
- 2023=2,805,580
- min:
- 1,130,979
- max:
- 3,208,856
- avg:
- 1,997,503.706
- σ:
- 637,078.32
Series code | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[1.1.1.1.1] | 494939312 | 523169789 | 408396326 | 447899889 | 503353241 | 513592134 | 529445560 | 585229942 | 574236334 | 574534916 | 618734272 | 661541005 | 683652064 | 581438369 | 714880517 | 897894127 | 899380194 |
[1.1.1.1.2] | 494939312 | 523169789 | 408396326 | 447899889 | 503353241 | 513592134 | 529445560 | 585229942 | 574236334 | 574534916 | 618734272 | 661541005 | 683652064 | 581438369 | 714880517 | 897894127 | 899380194 |
[1.1.1.1.3] | 494939312 | 523169789 | 408396326 | 447899889 | 503353241 | 513592134 | 529445560 | 585229942 | 574236334 | 574534916 | 618734272 | 661541005 | 683652064 | 581438369 | 714880517 | 897894127 | 899380194 |
[1.1.1.1.4] | NA | NA | 408396326 | 447899889 | 503353241 | 513592134 | 529445560 | 585229942 | 574236334 | 574534916 | 618734272 | 661541005 | 683652064 | 581438369 | 714880517 | 897894127 | 899380194 |
[1.1.1.10.2] | 582992 | 441622 | 339912 | 451248 | 635758 | 626711 | 691808 | 688192 | 605877 | 688342 | 719327 | 646197 | 580269 | 311485 | 480199 | 516453 | 408346 |
[1.1.1.100.3] | 6166814 | 4731016 | 3238578 | 4116433 | 4303277 | 4762313 | 6521130 | 7463022 | 7610602 | 8913916 | 9296696 | 9113296 | 7053207 | 8639612 | 14540745 | 12099762 | 6964296 |
[1.1.1.100.4] | NA | NA | 3238578 | 4116433 | 4303277 | 4762313 | 6521130 | 7463022 | 7610602 | 8913916 | 9296696 | 9113296 | 7053207 | 8639612 | 14540745 | 12099762 | 6964296 |
[1.1.1.101.3] | 2557981 | 1744473 | 1452612 | 1538747 | 1328847 | 1669491 | 2285491 | 2322012 | 2767700 | 3389074 | 3725636 | 4090961 | 3405250 | 4118246 | 7149554 | 6784036 | 4898568 |
[1.1.1.101.4] | NA | NA | 1452612 | 1538747 | 1328847 | 1669491 | 2285491 | 2322012 | 2767700 | 3389074 | 3725636 | 4090961 | 3405250 | 4118246 | 7149554 | 6784036 | 4898568 |
[1.1.1.102.3] | 1936073 | 1563066 | 1216395 | 1172320 | 1130979 | 1189420 | 1492791 | 1681903 | 1956084 | 2242874 | 2336372 | 2363165 | 2294120 | 2369748 | 2997817 | 3208856 | 2805580 |
This dataset has 339,727 series:
- from
- 2007=494,939,312
- to
- 2023=899,380,194
- min:
- 408,396,326
- max:
- 899,380,194
- avg:
- 600,724,587.706
- σ:
- 133,535,799.664
- from
- 2007=494,939,312
- to
- 2023=899,380,194
- min:
- 408,396,326
- max:
- 899,380,194
- avg:
- 600,724,587.706
- σ:
- 133,535,799.664
- from
- 2007=494,939,312
- to
- 2023=899,380,194
- min:
- 408,396,326
- max:
- 899,380,194
- avg:
- 600,724,587.706
- σ:
- 133,535,799.664
- from
- 2007=NA
- to
- 2023=899,380,194
- min:
- 408,396,326
- max:
- 899,380,194
- avg:
- 612,947,259.333
- σ:
- 137,524,443.786
- from
- 2007=582,992
- to
- 2023=408,346
- min:
- 311,485
- max:
- 719,327
- avg:
- 553,808.118
- σ:
- 124,375.5
- from
- 2007=6,166,814
- to
- 2023=6,964,296
- min:
- 3,238,578
- max:
- 14,540,745
- avg:
- 7,384,395
- σ:
- 2,847,668.563
- from
- 2007=NA
- to
- 2023=6,964,296
- min:
- 3,238,578
- max:
- 14,540,745
- avg:
- 7,642,459
- σ:
- 2,925,004.811
- from
- 2007=2,557,981
- to
- 2023=4,898,568
- min:
- 1,328,847
- max:
- 7,149,554
- avg:
- 3,248,745.824
- σ:
- 1,702,278.824
- from
- 2007=NA
- to
- 2023=4,898,568
- min:
- 1,328,847
- max:
- 7,149,554
- avg:
- 3,395,081.667
- σ:
- 1,755,004.252
- from
- 2007=1,936,073
- to
- 2023=2,805,580
- min:
- 1,130,979
- max:
- 3,208,856
- avg:
- 1,997,503.706
- σ:
- 637,078.32
Series code | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[1.1.1.1.1] | 494939312 | 523169789 | 408396326 | 447899889 | 503353241 | 513592134 | 529445560 | 585229942 | 574236334 | 574534916 | 618734272 | 661541005 | 683652064 | 581438369 | 714880517 | 897894127 | 899380194 |
[1.1.1.1.2] | 494939312 | 523169789 | 408396326 | 447899889 | 503353241 | 513592134 | 529445560 | 585229942 | 574236334 | 574534916 | 618734272 | 661541005 | 683652064 | 581438369 | 714880517 | 897894127 | 899380194 |
[1.1.1.1.3] | 494939312 | 523169789 | 408396326 | 447899889 | 503353241 | 513592134 | 529445560 | 585229942 | 574236334 | 574534916 | 618734272 | 661541005 | 683652064 | 581438369 | 714880517 | 897894127 | 899380194 |
[1.1.1.1.4] | NA | NA | 408396326 | 447899889 | 503353241 | 513592134 | 529445560 | 585229942 | 574236334 | 574534916 | 618734272 | 661541005 | 683652064 | 581438369 | 714880517 | 897894127 | 899380194 |
[1.1.1.10.2] | 582992 | 441622 | 339912 | 451248 | 635758 | 626711 | 691808 | 688192 | 605877 | 688342 | 719327 | 646197 | 580269 | 311485 | 480199 | 516453 | 408346 |
[1.1.1.100.3] | 6166814 | 4731016 | 3238578 | 4116433 | 4303277 | 4762313 | 6521130 | 7463022 | 7610602 | 8913916 | 9296696 | 9113296 | 7053207 | 8639612 | 14540745 | 12099762 | 6964296 |
[1.1.1.100.4] | NA | NA | 3238578 | 4116433 | 4303277 | 4762313 | 6521130 | 7463022 | 7610602 | 8913916 | 9296696 | 9113296 | 7053207 | 8639612 | 14540745 | 12099762 | 6964296 |
[1.1.1.101.3] | 2557981 | 1744473 | 1452612 | 1538747 | 1328847 | 1669491 | 2285491 | 2322012 | 2767700 | 3389074 | 3725636 | 4090961 | 3405250 | 4118246 | 7149554 | 6784036 | 4898568 |
[1.1.1.101.4] | NA | NA | 1452612 | 1538747 | 1328847 | 1669491 | 2285491 | 2322012 | 2767700 | 3389074 | 3725636 | 4090961 | 3405250 | 4118246 | 7149554 | 6784036 | 4898568 |
[1.1.1.102.3] | 1936073 | 1563066 | 1216395 | 1172320 | 1130979 | 1189420 | 1492791 | 1681903 | 1956084 | 2242874 | 2336372 | 2363165 | 2294120 | 2369748 | 2997817 | 3208856 | 2805580 |