Value Added (Agriculture, Forestry and Fishing) — Value Standard in Afghanistan
Afghanistan: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 366,680 million SLC in 2024. ▼ Falling
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Afghanistan, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
The most recent figure for value added (agriculture, forestry and fishing) — value standard in Afghanistan is 366,680 million SLC, measured in 2024.
That represents a change of down 1.0% on the previous year and up 10.1% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Afghanistan peaked at 551,527 million SLC in 1986 and was at its lowest, 175,633 million SLC, in 2001.
Afghanistan ranks 53rd of 191 countries on this measure, in the middle of the range.
The long-run direction has been consistently falling across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Afghanistan, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 486,042 million SLC | — |
| 1971 | 467,467 million SLC | -3.8% |
| 1972 | 447,860 million SLC | -4.2% |
| 1973 | 480,882 million SLC | +7.4% |
| 1974 | 497,614 million SLC | +3.5% |
| 1975 | 514,345 million SLC | +3.4% |
| 1976 | 536,654 million SLC | +4.3% |
| 1977 | 479,023 million SLC | -10.7% |
| 1978 | 508,148 million SLC | +6.1% |
| 1979 | 522,401 million SLC | +2.8% |
| 1980 | 518,063 million SLC | -0.8% |
| 1981 | 534,175 million SLC | +3.1% |
| 1982 | 536,654 million SLC | +0.5% |
| 1983 | 548,428 million SLC | +2.2% |
| 1984 | 545,950 million SLC | -0.5% |
| 1985 | 542,851 million SLC | -0.6% |
| 1986 | 551,527 million SLC | +1.6% |
| 1987 | 446,799 million SLC | -19.0% |
| 1988 | 417,053 million SLC | -6.7% |
| 1989 | 400,322 million SLC | -4.0% |
| 1990 | 204,724 million SLC | -48.9% |
| 1991 | 253,558 million SLC | +23.9% |
| 1992 | 287,441 million SLC | +13.4% |
| 1993 | 246,942 million SLC | -14.1% |
| 1994 | 221,632 million SLC | -10.2% |
| 1995 | 297,825 million SLC | +34.4% |
| 1996 | 274,239 million SLC | -7.9% |
| 1997 | 252,865 million SLC | -7.8% |
| 1998 | 234,638 million SLC | -7.2% |
| 1999 | 217,006 million SLC | -7.5% |
| 2000 | 199,329 million SLC | -8.1% |
| 2001 | 175,633 million SLC | -11.9% |
| 2002 | 234,929 million SLC | +33.8% |
| 2003 | 243,125 million SLC | +3.5% |
| 2004 | 208,137 million SLC | -14.4% |
| 2005 | 233,784 million SLC | +12.3% |
| 2006 | 251,921 million SLC | +7.8% |
| 2007 | 305,494 million SLC | +21.3% |
| 2008 | 269,939 million SLC | -11.6% |
| 2009 | 333,182 million SLC | +23.4% |
| 2010 | 273,380 million SLC | -17.9% |
| 2011 | 286,443 million SLC | +4.8% |
| 2012 | 296,007 million SLC | +3.3% |
| 2013 | 320,769 million SLC | +8.4% |
| 2014 | 333,052 million SLC | +3.8% |
| 2015 | 277,151 million SLC | -16.8% |
| 2016 | 311,730 million SLC | +12.5% |
| 2017 | 322,801 million SLC | +3.6% |
| 2018 | 323,696 million SLC | +0.3% |
| 2019 | 412,650 million SLC | +27.5% |
| 2020 | 430,705 million SLC | +4.4% |
| 2021 | 388,579 million SLC | -9.8% |
| 2022 | 363,072 million SLC | -6.6% |
| 2023 | 370,555 million SLC | +2.1% |
| 2024 | 366,680 million SLC | -1.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 494,044 million SLC | 447,860 million SLC | 536,654 million SLC | 10 |
| 1980s | 504,182 million SLC | 400,322 million SLC | 551,527 million SLC | 10 |
| 1990s | 249,087 million SLC | 204,724 million SLC | 297,825 million SLC | 10 |
| 2000s | 245,547 million SLC | 175,633 million SLC | 333,182 million SLC | 10 |
| 2010s | 315,768 million SLC | 273,380 million SLC | 412,650 million SLC | 10 |
| 2020s | 383,918 million SLC | 363,072 million SLC | 430,705 million SLC | 5 |
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)
- Sawlogs and veneer logs — Production, annual growth rate 0 % change on previous year (2024)
- Sawlogs and veneer logs, non-coniferous — Production, annual growth 0 % change on previous year (2024)
- Other industrial roundwood — Production, annual growth rate 0 % change on previous year (2024)
- Other industrial roundwood, non-coniferous (production) — Production 0 % change on previous year (2024)
- Wood charcoal — Production, annual growth rate 2.8 % change on previous year (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Afghanistan?
- Value added (agriculture, forestry and fishing) — value standard in Afghanistan was 366,680 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 Afghanistan?
- The highest recorded value was 551,527 million SLC in 1986.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Afghanistan?
- The lowest recorded value was 175,633 million SLC in 2001.
- How does Afghanistan rank for value added (agriculture, forestry and fishing) — value standard?
- Afghanistan ranks 53rd out of 191 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Afghanistan?
- Over the last ten years it is up 10.1%. 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 Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
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About this data
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).