[38100250] Physical flow account for water use
Retrieved by DBnomics on July 12, 2024 (2:55 AM).
Data source: Statistics Canada, Environment Accounts and Statistics Division. Includes an estimate for water use and leakages by water treatment and distribution systems. Includes an estimate for residential use of water produced by drinking water plants and for well water. The amount of municipal water use that is not residential and not assigned to industries in the Industrial Water Use Survey is distributed across the remaining industries based on expenditure data for water supplied through mains from the input-output accounts. Household water use is based on the municipal water supply from Statistics Canada's Survey of Drinking Water Treatment Plants combined with an estimate from the producers of the proportion of this water supply that serves households. In addition, the water use of households not served by the municipal supply is estimated based on average household consumption figures. The supply and use tables are built around three classification systems, namely the Input-Output Industry Classification (IOIC) for industries, the Supply and Use Product Classification (SUPC) for products (goods and services), and the Input-Output Final Demand Classification (IOFDC) for final demand categories. The Input-Output Industry Classification (IOIC) is based on the North American Industry Classification System (NAICS) and the Supply and Use Product Classification (SUPC) is based on the North American Products Classification System (NAPCS). The Input-Output Final Demand Classification (IOFDC) is based on the Classification of Individual Consumption by Purpose (COICOP) for the personal expenditure categories and the North American Industry Classification (NAICS) for the gross fixed capital formation categories. This table is published at the link 1961 level of the supply and use tables. The alphanumeric codes appearing in square brackets besides each industry title represent the Input-Output Industry Classification (IOIC) codes. The IOIC identifies both institutional sectors and industries based on the North American Industry Classification System (NAICS). The first two characters of the IOIC alphanumeric codes represent the sector. IOIC codes beginning with a BS represent business sector industries, codes beginning with an NP represent Non-Profit Institutions Serving Household (NPISH) sector industries, and codes beginning with a GS represent government sector industries. This table replaces table 38-10-0118-01. Totals may not add due to rounding. The estimate for water use does not include the use of water for hydro-electricity production. Data for 2009 are based on input-output tables, while data for 2011 onwards are based on the supply and use tables: comparisons with the 2009 data should be done with caution.
For more information on the concepts, sources and methods, please consult the <a href=http://www.statcan.gc.ca/pub/16-509-x/2016001/27-eng.htm" rel="external noopener noreferrer" target="_blank">Water use account (opens new window) section of the Methodological guide: Canadian System of Environmental-Economic Accounting (16-509-X (opens new window)." Data for 2009 to 2019 were revised in July 2024. For reference year 2019, data related to manufacturing, mining and thermal industries were estimated through modelling because of the unavailability of underlying data sources.
This dataset has 92 series:
- from
- 2009=38,774,266
- to
- 2021=36,127,599
- min:
- 35,476,126
- max:
- 38,774,266
- avg:
- 36,553,015.143
- σ:
- 1,028,369.045
- from
- 2009=319,054
- to
- 2021=188,366
- min:
- 188,366
- max:
- 424,549
- avg:
- 319,223.714
- σ:
- 72,619.819
- from
- 2009=103,073
- to
- 2021=182,336
- min:
- 78,241
- max:
- 182,336
- avg:
- 115,204.714
- σ:
- 30,867.694
- from
- 2009=9
- to
- 2021=0
- min:
- 0
- max:
- 30
- avg:
- 18.143
- σ:
- 10.508
- from
- 2009=26,213,561
- to
- 2021=22,903,290
- min:
- 22,903,290
- max:
- 26,213,561
- avg:
- 24,001,462.429
- σ:
- 1,121,899.67
- from
- 2009=968,870
- to
- 2021=1,045,015
- min:
- 887,747
- max:
- 1,095,822
- avg:
- 996,922.286
- σ:
- 69,053.846
- from
- 2009=4,929
- to
- 2021=2,991
- min:
- 2,991
- max:
- 6,503
- avg:
- 5,139.286
- σ:
- 1,032.763
- from
- 2009=2,092
- to
- 2021=986
- min:
- 986
- max:
- 2,666
- avg:
- 2,065.286
- σ:
- 507.898
- from
- 2009=87
- to
- 2021=91
- min:
- 87
- max:
- 225
- avg:
- 156.286
- σ:
- 53.132
- from
- 2009=11
- to
- 2021=0
- min:
- 0
- max:
- 33
- avg:
- 19
- σ:
- 10.337
Series code | 2009 | 2011 | 2013 | 2015 | 2017 | 2019 | 2021 |
---|---|---|---|---|---|---|---|
[1.1] | 38774266 | 35476126 | 37197793 | 35913582 | 36334509 | 36047231 | 36127599 |
[1.10] | 319054 | 260066 | 368179 | 370020 | 424549 | 304332 | 188366 |
[1.11] | 103073 | 123732 | 78241 | 97532 | 100152 | 121367 | 182336 |
[1.12] | 9 | 26 | 30 | 30 | 18 | 14 | 0 |
[1.13] | 26213561 | 23715875 | 25145462 | 23318293 | 23249046 | 23464710 | 22903290 |
[1.14] | 968870 | 925044 | 887747 | 1000746 | 1055212 | 1095822 | 1045015 |
[1.15] | 4929 | 5296 | 6503 | 5714 | 5799 | 4743 | 2991 |
[1.16] | 2092 | 2300 | 2666 | 2507 | 1997 | 1909 | 986 |
[1.17] | 87 | 130 | 185 | 223 | 225 | 153 | 91 |
[1.18] | 11 | 18 | 33 | 29 | 24 | 18 | 0 |
This dataset has 92 series:
- from
- 2009=38,774,266
- to
- 2021=36,127,599
- min:
- 35,476,126
- max:
- 38,774,266
- avg:
- 36,553,015.143
- σ:
- 1,028,369.045
- from
- 2009=319,054
- to
- 2021=188,366
- min:
- 188,366
- max:
- 424,549
- avg:
- 319,223.714
- σ:
- 72,619.819
- from
- 2009=103,073
- to
- 2021=182,336
- min:
- 78,241
- max:
- 182,336
- avg:
- 115,204.714
- σ:
- 30,867.694
- from
- 2009=9
- to
- 2021=0
- min:
- 0
- max:
- 30
- avg:
- 18.143
- σ:
- 10.508
- from
- 2009=26,213,561
- to
- 2021=22,903,290
- min:
- 22,903,290
- max:
- 26,213,561
- avg:
- 24,001,462.429
- σ:
- 1,121,899.67
- from
- 2009=968,870
- to
- 2021=1,045,015
- min:
- 887,747
- max:
- 1,095,822
- avg:
- 996,922.286
- σ:
- 69,053.846
- from
- 2009=4,929
- to
- 2021=2,991
- min:
- 2,991
- max:
- 6,503
- avg:
- 5,139.286
- σ:
- 1,032.763
- from
- 2009=2,092
- to
- 2021=986
- min:
- 986
- max:
- 2,666
- avg:
- 2,065.286
- σ:
- 507.898
- from
- 2009=87
- to
- 2021=91
- min:
- 87
- max:
- 225
- avg:
- 156.286
- σ:
- 53.132
- from
- 2009=11
- to
- 2021=0
- min:
- 0
- max:
- 33
- avg:
- 19
- σ:
- 10.337
Series code | 2009 | 2011 | 2013 | 2015 | 2017 | 2019 | 2021 |
---|---|---|---|---|---|---|---|
[1.1] | 38774266 | 35476126 | 37197793 | 35913582 | 36334509 | 36047231 | 36127599 |
[1.10] | 319054 | 260066 | 368179 | 370020 | 424549 | 304332 | 188366 |
[1.11] | 103073 | 123732 | 78241 | 97532 | 100152 | 121367 | 182336 |
[1.12] | 9 | 26 | 30 | 30 | 18 | 14 | 0 |
[1.13] | 26213561 | 23715875 | 25145462 | 23318293 | 23249046 | 23464710 | 22903290 |
[1.14] | 968870 | 925044 | 887747 | 1000746 | 1055212 | 1095822 | 1045015 |
[1.15] | 4929 | 5296 | 6503 | 5714 | 5799 | 4743 | 2991 |
[1.16] | 2092 | 2300 | 2666 | 2507 | 1997 | 1909 | 986 |
[1.17] | 87 | 130 | 185 | 223 | 225 | 153 | 91 |
[1.18] | 11 | 18 | 33 | 29 | 24 | 18 | 0 |