Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Canada
Canada: Net Capital Stocks (Agriculture, Forestry and Fishing) — Value was 61,684 million SLC in 2023. ▲ Rising
Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Canada, 1995–2023
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
The most recent figure for net capital stocks (agriculture, forestry and fishing) — value in Canada is 61,684 million SLC, measured in 2023. That is the highest value across all 29 years on record.
Compared with earlier readings it is up 6.6% on the previous year and up 30.7% over ten years.
Over the whole period, net capital stocks (agriculture, forestry and fishing) — value in Canada peaked at 61,684 million SLC in 2023 and was at its lowest, 43,221 million SLC, in 2007.
Canada ranks 89th of 179 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 29 years of available data.
Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Canada, year by year
| Year | million SLC | Change |
|---|---|---|
| 1995 | 44,162 million SLC | — |
| 1996 | 45,147 million SLC | +2.2% |
| 1997 | 46,419 million SLC | +2.8% |
| 1998 | 47,792 million SLC | +3.0% |
| 1999 | 48,979 million SLC | +2.5% |
| 2000 | 48,212 million SLC | -1.6% |
| 2001 | 47,918 million SLC | -0.6% |
| 2002 | 47,758 million SLC | -0.3% |
| 2003 | 47,103 million SLC | -1.4% |
| 2004 | 45,957 million SLC | -2.4% |
| 2005 | 45,821 million SLC | -0.3% |
| 2006 | 43,808 million SLC | -4.4% |
| 2007 | 43,221 million SLC | -1.3% |
| 2008 | 44,811 million SLC | +3.7% |
| 2009 | 44,944 million SLC | +0.3% |
| 2010 | 44,275 million SLC | -1.5% |
| 2011 | 44,491 million SLC | +0.5% |
| 2012 | 45,952 million SLC | +3.3% |
| 2013 | 47,201 million SLC | +2.7% |
| 2014 | 48,569 million SLC | +2.9% |
| 2015 | 50,181 million SLC | +3.3% |
| 2016 | 49,835 million SLC | -0.7% |
| 2017 | 49,424 million SLC | -0.8% |
| 2018 | 53,003 million SLC | +7.2% |
| 2019 | 54,090 million SLC | +2.0% |
| 2020 | 53,732 million SLC | -0.7% |
| 2021 | 55,439 million SLC | +3.2% |
| 2022 | 57,887 million SLC | +4.4% |
| 2023 | 61,684 million SLC | +6.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 46,500 million SLC | 44,162 million SLC | 48,979 million SLC | 5 |
| 2000s | 45,955 million SLC | 43,221 million SLC | 48,212 million SLC | 10 |
| 2010s | 48,702 million SLC | 44,275 million SLC | 54,090 million SLC | 10 |
| 2020s | 57,185 million SLC | 53,732 million SLC | 61,684 million SLC | 4 |
Countries ranked near Canada
- 86 Ghana 70,369 million SLC compare
- 87 Mozambique 66,226 million SLC compare
- 88 Spain 62,302 million SLC compare
- 90 North Macedonia 58,323 million SLC compare
- 91 United Kingdom of Great Britain and Northern Ireland 57,735 million SLC compare
- 92 Mauritania 56,306 million SLC compare
More environment data for Canada
- Historical exposure to drought — Land soil moisture anomaly -2.52 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -6.76 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.642 °C (2025)
- Temperature change 2.96 °C (2025)
- Industrial roundwood — Import quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
- Industrial roundwood — Import quantity, per capita 0.0701 m3 per person (2024)
- Industrial roundwood — Import value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
- Industrial roundwood — Import value, per capita 0.0071 1000 USD per person (2024)
- Industrial roundwood — Export quantity, annual growth rate 5.16 % change on previous year (2024)
Frequently asked questions
- What is net capital stocks (agriculture, forestry and fishing) — value in Canada?
- Net capital stocks (agriculture, forestry and fishing) — value in Canada was 61,684 million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest net capital stocks (agriculture, forestry and fishing) — value recorded in Canada?
- The highest recorded value was 61,684 million SLC in 2023.
- What is the lowest net capital stocks (agriculture, forestry and fishing) — value recorded in Canada?
- The lowest recorded value was 43,221 million SLC in 2007.
- How does Canada rank for net capital stocks (agriculture, forestry and fishing) — value?
- Canada ranks 89th out of 179 countries with data for 2023.
- Is net capital stocks (agriculture, forestry and fishing) — value rising or falling in Canada?
- Over the last ten years it is up 30.7%. 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 Net Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 29 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
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.