Value Added (Agriculture, Forestry and Fishing) — Value Standard in Canada

Canada: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 54,715 million SLC in 2024. ◆ Volatile

Latest (2024)
54,715 million SLC
Change on year
up 6.2%
World rank
89th
of 199 countries
All-time high
54,715 million SLC
in 2024
All-time low
3,832 million SLC
in 1970
Years of data
55
1970–2024

Value Added (Agriculture, Forestry and Fishing) — Value Standard in Canada, 1970–2024

020.0k40.0k60.0k197019972024

Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.

Analysis

In 2024, value added (agriculture, forestry and fishing) — value standard in Canada stood at 54,715 million SLC. That is the highest value across all 55 years on record.

The figure is up 6.2% on the previous year and up 72.9% over ten years.

Over the whole period, value added (agriculture, forestry and fishing) — value standard in Canada peaked at 54,715 million SLC in 2024 and was at its lowest, 3,832 million SLC, in 1970.

Canada ranks 89th of 199 countries on this measure, in the middle of the range.

The series is highly variable year to year, so single readings are best treated with caution.

Value Added (Agriculture, Forestry and Fishing) — Value Standard in Canada, year by year

Annual values for Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Canada, 1970 to 2024.
Year million SLC Change
1970 3,832 million SLC
1971 3,904 million SLC +1.9%
1972 4,123 million SLC +5.6%
1973 6,402 million SLC +55.3%
1974 7,808 million SLC +22.0%
1975 8,264 million SLC +5.8%
1976 8,493 million SLC +2.8%
1977 8,236 million SLC -3.0%
1978 9,899 million SLC +20.2%
1979 11,750 million SLC +18.7%
1980 12,425 million SLC +5.7%
1981 14,576 million SLC +17.3%
1982 14,147 million SLC -2.9%
1983 13,821 million SLC -2.3%
1984 15,220 million SLC +10.1%
1985 16,343 million SLC +7.4%
1986 17,371 million SLC +6.3%
1987 16,596 million SLC -4.5%
1988 17,425 million SLC +5.0%
1989 18,364 million SLC +5.4%
1990 18,481 million SLC +0.6%
1991 17,841 million SLC -3.5%
1992 18,159 million SLC +1.8%
1993 19,396 million SLC +6.8%
1994 20,189 million SLC +4.1%
1995 22,413 million SLC +11.0%
1996 23,974 million SLC +7.0%
1997 19,400 million SLC -19.1%
1998 20,380 million SLC +5.1%
1999 22,122 million SLC +8.5%
2000 23,120 million SLC +4.5%
2001 24,226 million SLC +4.8%
2002 23,707 million SLC -2.1%
2003 25,740 million SLC +8.6%
2004 28,931 million SLC +12.4%
2005 26,702 million SLC -7.7%
2006 25,427 million SLC -4.8%
2007 25,042 million SLC -1.5%
2008 29,302 million SLC +17.0%
2009 24,354 million SLC -16.9%
2010 24,878 million SLC +2.2%
2011 31,324 million SLC +25.9%
2012 33,098 million SLC +5.7%
2013 36,034 million SLC +8.9%
2014 31,650 million SLC -12.2%
2015 37,216 million SLC +17.6%
2016 37,720 million SLC +1.4%
2017 40,458 million SLC +7.3%
2018 38,004 million SLC -6.1%
2019 39,263 million SLC +3.3%
2020 40,853 million SLC +4.0%
2021 43,938 million SLC +7.6%
2022 49,537 million SLC +12.7%
2023 51,540 million SLC +4.0%
2024 54,715 million SLC +6.2%

Averages by decade

DecadeAverage LowestHighest Years
1970s 7,271 million SLC 3,832 million SLC 11,750 million SLC 10
1980s 15,629 million SLC 12,425 million SLC 18,364 million SLC 10
1990s 20,236 million SLC 17,841 million SLC 23,974 million SLC 10
2000s 25,655 million SLC 23,120 million SLC 29,302 million SLC 10
2010s 34,964 million SLC 24,878 million SLC 40,458 million SLC 10
2020s 48,117 million SLC 40,853 million SLC 54,715 million SLC 5

Countries ranked near Canada

  1. 86 Peru 65,409 million SLC compare
  2. 87 Romania 57,674 million SLC compare
  3. 88 North Macedonia 55,942 million SLC compare
  4. 90 Australia 53,191 million SLC compare
  5. 91 Italy 44,032 million SLC compare
  6. 92 Sierra Leone 43,351 million SLC compare

See the full ranking of 215 places →

More environment data for Canada

All data for Canada →

Frequently asked questions

What is value added (agriculture, forestry and fishing) — value standard in Canada?
Value added (agriculture, forestry and fishing) — value standard in Canada was 54,715 million SLC in 2024, according to Food and Agriculture Organization of the United Nations.
What is the highest value added (agriculture, forestry and fishing) — value standard recorded in Canada?
The highest recorded value was 54,715 million SLC in 2024.
What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Canada?
The lowest recorded value was 3,832 million SLC in 1970.
How does Canada rank for value added (agriculture, forestry and fishing) — value standard?
Canada ranks 89th out of 199 countries with data for 2024.
Is value added (agriculture, forestry and fishing) — value standard rising or falling in Canada?
Over the last ten years it is up 72.9%. The long-run trend across the full record is volatile.
Where does this Canada data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency. Statizoid updates them automatically from the source API.

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Value Added (Agriculture, Forestry and Fishing) — Value Standard in Canada. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 23 August 2026, from https://environment.statizoid.com/stat/value-added-agriculture-forestry-and-fishing-value-standard-local-currency/canada/

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About this data

Indicator
Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
215 places, 10,919 data points, 1970–2024
Last refreshed

The FAOSTAT Macro Indicators database provides a selection of country-level macro indicators relating to total economy (Gross Domestic Product, Gross Fixed Capital Formation); agriculture activity; agriculture, forestry and fishing activity; total manufacturing activity; manufacturing of food products and beverages activity; manufacturing activity of tobacco products; and manufacturing activity of food, beverage and tobacco products.It releases time series for a selection of National Accounts variables, including gross domestic product, gross fixed capital formation, industry-level value added and gross output. The database also proposes additional indicators such as gross domestic product per capita, year-on-year growth rates and measures of industry contribution to gross domestic product. All data relating to Gross Domestic Product, Gross Fixed Capital Formation, agriculture, forestry and fishing activity, and to total manufacturing activity originates from the United Nations Statistics Division (UNSD) National Accounts Estimates of Main Aggregates database, which consists of a complete and consistent set of time series of the main National Accounts aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official National Accounts data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information (See http://unstats.un.org/unsd/snaama/Introduction.asp). Data series relating to the sub-industry Agriculture activity are obtained from the UNSD national accounts Official Country Data databases while series on the Manufacturing activity of food and beverages products, manufacturing activity of tobacco products and manufacturing activity of food, beverages and tobacco products originates from the United Nations Industrial Development Organization (UNIDO) INDSTAT2 database. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), UNIDO originating series are rescaled on UNSD National Accounts Estimates of Main Aggregates data series (See Section 17.5 for a more detailed description of the data processing steps).