Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Canada

Canada: Consumption of Fixed Capital (Agriculture, Forestry and Fishing) was 5,928 million SLC in 2023. ▲ Rising

Latest (2023)
5,928 million SLC
Change on year
down 12.4%
World rank
86th
of 181 countries
All-time high
8,414 million SLC
in 2020
All-time low
3,268 million SLC
in 1996
Years of data
29
1995–2023

Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Canada, 1995–2023

02.0k4.0k6.0k8.0k1995200920231995: 3.4k million SLC1996: 3.3k million SLC1997: 3.7k million SLC1998: 3.8k million SLC1999: 3.3k million SLC2000: 4.8k million SLC2001: 4.3k million SLC2002: 4.5k million SLC2003: 4.6k million SLC2004: 5.1k million SLC2005: 4.2k million SLC2006: 5.5k million SLC2007: 5.6k million SLC2008: 3.8k million SLC2009: 5.4k million SLC2010: 6.4k million SLC2011: 5.7k million SLC2012: 5.9k million SLC2013: 5.5k million SLC2014: 6.7k million SLC2015: 5.4k million SLC2016: 7.0k million SLC2017: 8.2k million SLC2018: 6.1k million SLC2019: 8.1k million SLC2020: 8.4k million SLC2021: 7.5k million SLC2022: 6.8k million SLC2023: 5.9k million SLC

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

Analysis

In 2023, consumption of fixed capital (agriculture, forestry and fishing) in Canada stood at 5,928 million SLC.

Compared with earlier readings it is down 12.4% on the previous year and up 7.4% over ten years.

Over the whole period, consumption of fixed capital (agriculture, forestry and fishing) in Canada peaked at 8,414 million SLC in 2020 and was at its lowest, 3,268 million SLC, in 1996.

That places Canada 86th out of 181 countries with data for 2023, putting it in the middle of the range.

The long-run direction has been consistently rising across the 29 years of available data.

Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Canada, year by year

Annual values for Consumption of Fixed Capital (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Canada, 1995 to 2023.
Year million SLC Change
1995 3,446 million SLC
1996 3,268 million SLC -5.1%
1997 3,732 million SLC +14.2%
1998 3,823 million SLC +2.4%
1999 3,336 million SLC -12.7%
2000 4,821 million SLC +44.5%
2001 4,286 million SLC -11.1%
2002 4,540 million SLC +5.9%
2003 4,592 million SLC +1.1%
2004 5,057 million SLC +10.1%
2005 4,206 million SLC -16.8%
2006 5,526 million SLC +31.4%
2007 5,642 million SLC +2.1%
2008 3,839 million SLC -31.9%
2009 5,382 million SLC +40.2%
2010 6,393 million SLC +18.8%
2011 5,689 million SLC -11.0%
2012 5,939 million SLC +4.4%
2013 5,518 million SLC -7.1%
2014 6,657 million SLC +20.6%
2015 5,425 million SLC -18.5%
2016 7,026 million SLC +29.5%
2017 8,153 million SLC +16.0%
2018 6,052 million SLC -25.8%
2019 8,085 million SLC +33.6%
2020 8,414 million SLC +4.1%
2021 7,493 million SLC -10.9%
2022 6,765 million SLC -9.7%
2023 5,928 million SLC -12.4%

Averages by decade

DecadeAverage LowestHighest Years
1990s 3,521 million SLC 3,268 million SLC 3,823 million SLC 5
2000s 4,789 million SLC 3,839 million SLC 5,642 million SLC 10
2010s 6,494 million SLC 5,425 million SLC 8,153 million SLC 10
2020s 7,150 million SLC 5,928 million SLC 8,414 million SLC 4

Countries ranked near Canada

  1. 83 Spain 6,800 million SLC compare
  2. 84 Belarus 6,591 million SLC compare
  3. 85 Sudan 6,491 million SLC compare
  4. 87 Netherlands (Kingdom of the) 5,902 million SLC compare
  5. 88 Jamaica 4,995 million SLC compare
  6. 89 North Macedonia 4,797 million SLC compare

See the full ranking of 194 places →

More environment data for Canada

All data for Canada →

Frequently asked questions

What is consumption of fixed capital (agriculture, forestry and fishing) in Canada?
Consumption of fixed capital (agriculture, forestry and fishing) in Canada was 5,928 million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest consumption of fixed capital (agriculture, forestry and fishing) recorded in Canada?
The highest recorded value was 8,414 million SLC in 2020.
What is the lowest consumption of fixed capital (agriculture, forestry and fishing) recorded in Canada?
The lowest recorded value was 3,268 million SLC in 1996.
How does Canada rank for consumption of fixed capital (agriculture, forestry and fishing)?
Canada ranks 86th out of 181 countries with data for 2023.
Is consumption of fixed capital (agriculture, forestry and fishing) rising or falling in Canada?
Over the last ten years it is up 7.4%. The long-run trend across the full record is rising.
Where does this Canada data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Consumption of Fixed Capital (Agriculture, Forestry and Fishing) — Value Standard Local Currency. Statizoid updates them automatically from the source API.

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Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Canada. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 05 September 2026, from https://environment.statizoid.com/stat/consumption-of-fixed-capital-agriculture-forestry-and-fishing-value-standard-local/canada/

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About this data

Indicator
Consumption of Fixed Capital (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
194 places, 5,516 data points, 1995–2023
Last refreshed

As part of the FAO Agriculture Capital Stock (ACS) database, the Statistics Division of FAO publishes country-by-country data on physical investment in agriculture, forestry and fishing as measured by the System of National Accounts (SNA) concept of Gross Fixed Capital Formation (GFCF). Additional variables included in the ACS are Net and Gross Capital Stock, Consumption of Fixed Capital, the Agriculture Investment ratio, and the Gross Fixed Capital Formation Agriculture Orientation Index. The FAO Agriculture Capital Stock Database is an analytical database: whenever available, the database integrates official National Accounts data harvested from the UNSD National Accounts Main Aggregates Database (UNSD AMA) and the OECD Annual National Accounts Database (OECD ANA). The database is further supplemented by OECD Structural Analysis database (OECD STAN) and, in a few cases, data from country’s statistics websites. If the full set of official data is not available for any specific country, imputation methods are applied to obtain estimates over the complete time series. Many data points in ACS are estimated and are flagged as such; they do not represent official submissions by Member Countries. With a view of producing internationally comparable net capital stock estimates, the Perpetual Inventory Method (PIM) with a constant geometric depreciation rate is employed to impute missing data. The Perpetual Inventory Method is a well-established economic model to calculate Net Capital Stocks (NCS) and Consumption of Fixed Capital (CFC) from time series of Gross Fixed Capital Formation (GFCF). Specifically, annual measures of the NCS are obtained from cumulating historical series on physical investment flows and deducting the part of assets that are depreciated (the Consumption of Fixed Capital that occurs in every period). In order to implement the PIM, long time series on aggregate GFCF in agriculture, forestry and fishing is required.An attempt is made to rely as much as possible on National Accounts data published by the OECD and UNSD. When country data are partially or fully missing, econometric techniques to impute missing observations are employed. Depending on the pattern of data missingness for the countries, different imputation methods are applied (from among the ARIMAX, PANEL regression, and OLS approaches) for the data series from 1995 to 2022. The values of Agriculture Capital Stock related indicators for 2023, including Agriculture Investment Ratio, Agriculture Orientation Index, Net Capital Stock, Gross Fixed Capital Formation and Consumption of Fixed Capital, are estimated using the Holt-Winters (HW) method (Cipra et al., 1995). The HW method is an exponential smoothing method for forecasting the annual values of economic variables. In this context, the HW method relies on existing (historical) values of the Agriculture Capital Stock. The predicted value is an extrapolation of the historical values to the specified target date, which extends the timeline without considering seasonality in the annual series.All data series in the database are provided both in national currencies and in US dollars as well as in current prices and constant prices with base year 2015.