Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Afghanistan
Afghanistan: Net Capital Stocks (Agriculture, Forestry and Fishing) — Value was 452,222 million SLC in 2023. ▼ Falling
Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Afghanistan, 1995–2023
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
In 2023, net capital stocks (agriculture, forestry and fishing) — value in Afghanistan stood at 452,222 million SLC.
Compared with earlier readings it is up 0.7% on the previous year and down 9.9% over ten years.
Over the whole period, net capital stocks (agriculture, forestry and fishing) — value in Afghanistan peaked at 684,617 million SLC in 1995 and was at its lowest, 448,096 million SLC, in 2019.
Afghanistan ranks 52nd of 179 countries on this measure, in the middle of the range.
The long-run direction has been consistently falling across the 29 years of available data.
Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Afghanistan, year by year
| Year | million SLC | Change |
|---|---|---|
| 1995 | 684,617 million SLC | — |
| 1996 | 676,725 million SLC | -1.2% |
| 1997 | 666,351 million SLC | -1.5% |
| 1998 | 654,511 million SLC | -1.8% |
| 1999 | 641,042 million SLC | -2.1% |
| 2000 | 626,205 million SLC | -2.3% |
| 2001 | 609,772 million SLC | -2.6% |
| 2002 | 600,689 million SLC | -1.5% |
| 2003 | 593,091 million SLC | -1.3% |
| 2004 | 578,301 million SLC | -2.5% |
| 2005 | 563,391 million SLC | -2.6% |
| 2006 | 547,171 million SLC | -2.9% |
| 2007 | 537,542 million SLC | -1.8% |
| 2008 | 523,817 million SLC | -2.6% |
| 2009 | 524,742 million SLC | +0.2% |
| 2010 | 518,954 million SLC | -1.1% |
| 2011 | 512,965 million SLC | -1.2% |
| 2012 | 507,998 million SLC | -1.0% |
| 2013 | 501,741 million SLC | -1.2% |
| 2014 | 489,097 million SLC | -2.5% |
| 2015 | 475,409 million SLC | -2.8% |
| 2016 | 465,647 million SLC | -2.1% |
| 2017 | 458,292 million SLC | -1.6% |
| 2018 | 451,507 million SLC | -1.5% |
| 2019 | 448,096 million SLC | -0.8% |
| 2020 | 448,972 million SLC | +0.2% |
| 2021 | 448,236 million SLC | -0.2% |
| 2022 | 449,151 million SLC | +0.2% |
| 2023 | 452,222 million SLC | +0.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 664,649 million SLC | 641,042 million SLC | 684,617 million SLC | 5 |
| 2000s | 570,472 million SLC | 523,817 million SLC | 626,205 million SLC | 10 |
| 2010s | 482,971 million SLC | 448,096 million SLC | 518,954 million SLC | 10 |
| 2020s | 449,645 million SLC | 448,236 million SLC | 452,222 million SLC | 4 |
Countries ranked near Afghanistan
More environment data for Afghanistan
- Historical exposure to drought — Land soil moisture anomaly -19.95 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -17.12 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.547 °C (2025)
- Temperature change 1.96 °C (2025)
- Land area equipped for irrigation — Area, annual growth rate 0 % change on previous year (2024)
- Value Added (Agriculture, Forestry and Fishing) — Value Standard 7.28 % change on previous year (2024)
- Value Added (Agriculture, Forestry and Fishing) — Value Standard 0.0118 million SLC per person (2024)
- Value Added (Agriculture, Forestry and Fishing) — Value US$, annual 26.64 % change on previous year (2024)
- Value Added (Agriculture, Forestry and Fishing) — Value US$, per unit 0 million USD per US$ of GDP (2024)
Frequently asked questions
- What is net capital stocks (agriculture, forestry and fishing) — value in Afghanistan?
- Net capital stocks (agriculture, forestry and fishing) — value in Afghanistan was 452,222 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 Afghanistan?
- The highest recorded value was 684,617 million SLC in 1995.
- What is the lowest net capital stocks (agriculture, forestry and fishing) — value recorded in Afghanistan?
- The lowest recorded value was 448,096 million SLC in 2019.
- How does Afghanistan rank for net capital stocks (agriculture, forestry and fishing) — value?
- Afghanistan ranks 52nd out of 179 countries with data for 2023.
- Is net capital stocks (agriculture, forestry and fishing) — value rising or falling in Afghanistan?
- Over the last ten years it is down 9.9%. The long-run trend across the full record is falling.
- Where does this Afghanistan 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.