Gross Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency by country
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...
What the numbers show
Gross Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency is currently reported for 26 countries. The highest value is 106.73 million million SLC in Republic of Korea; the lowest is 4,407 million SLC in Luxembourg.
The median across all reporting countries is 101,120 million SLC, and the mean is 5.01 million million SLC.
The gap between the highest and lowest reporting country is a factor of about 24,220.
Over the past decade 24 countries rose and 2 fell. The largest increase was in Estonia (up 96.4%), and the largest decrease in Greece (down 6.9%).
Gross Capital Stocks (Agriculture, Forestry and Fishing) — Value: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Republic of Korea | 106.73 million million SLC | 2017 | up 29.4% | rising |
| 2 | Hungary | 19.71 million million SLC | 2021 | up 74.6% | rising |
| 3 | Czechia | 892,573 million SLC | 2022 | up 71.1% | rising |
| 4 | Denmark | 475,723 million SLC | 2022 | up 27.7% | rising |
| 5 | Germany | 442,450 million SLC | 2022 | up 41.7% | rising |
| 6 | Italy | 396,536 million SLC | 2022 | down 1.0% | rising |
| 7 | Poland | 329,068 million SLC | 2020 | up 23.6% | rising |
| 8 | France | 253,235 million SLC | 2022 | up 10.6% | rising |
| 9 | Canada | 163,230 million SLC | 2022 | up 68.7% | rising |
| 10 | Australia | 155,178 million SLC | 2016 | up 31.7% | rising |
| 11 | Austria | 122,832 million SLC | 2022 | up 59.5% | rising |
| 12 | Netherlands (Kingdom of the) | 113,667 million SLC | 2022 | up 34.5% | rising |
| 13 | United Kingdom of Great Britain and Northern Ireland | 102,510 million SLC | 2021 | up 38.3% | rising |
| 14 | Spain | 99,731 million SLC | 2020 | up 44.5% | rising |
| 15 | Israel | 46,822 million SLC | 2022 | up 13.3% | rising |
| 16 | Finland | 46,315 million SLC | 2022 | up 13.6% | rising |
| 17 | Greece | 38,398 million SLC | 2021 | down 6.9% | rising |
| 18 | Portugal | 34,737 million SLC | 2021 | up 32.9% | rising |
| 19 | Belgium | 27,168 million SLC | 2022 | up 52.4% | rising |
| 20 | Latvia | 22,692 million SLC | 2021 | up 18.9% | rising |
| 21 | Ireland | 21,952 million SLC | 2020 | up 37.1% | rising |
| 22 | Slovakia | 17,869 million SLC | 2021 | up 27.8% | rising |
| 23 | Lithuania | 12,599 million SLC | 2020 | up 78.5% | rising |
| 24 | Slovenia | 8,234 million SLC | 2022 | up 45.3% | rising |
| 25 | Estonia | 4,675 million SLC | 2021 | up 96.4% | volatile |
| 26 | Luxembourg | 4,407 million SLC | 2020 | up 56.1% | rising |
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.