Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Afghanistan
Afghanistan: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 was 5,997 million USD in 2024. ▼ Falling
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Afghanistan, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
The most recent figure for value added (agriculture, forestry and fishing) — value us$, 2015 in Afghanistan is 5,997 million USD, measured in 2024.
Compared with earlier readings it is 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 us$, 2015 in Afghanistan peaked at 9,020 million USD in 1986 and was at its lowest, 2,872 million USD, in 2001.
Afghanistan ranks 60th of 200 countries on this measure, in the middle of the range.
The long-run direction has been consistently falling across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Afghanistan, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 7,949 million USD | — |
| 1971 | 7,645 million USD | -3.8% |
| 1972 | 7,325 million USD | -4.2% |
| 1973 | 7,865 million USD | +7.4% |
| 1974 | 8,138 million USD | +3.5% |
| 1975 | 8,412 million USD | +3.4% |
| 1976 | 8,777 million USD | +4.3% |
| 1977 | 7,834 million USD | -10.7% |
| 1978 | 8,311 million USD | +6.1% |
| 1979 | 8,544 million USD | +2.8% |
| 1980 | 8,473 million USD | -0.8% |
| 1981 | 8,736 million USD | +3.1% |
| 1982 | 8,777 million USD | +0.5% |
| 1983 | 8,970 million USD | +2.2% |
| 1984 | 8,929 million USD | -0.5% |
| 1985 | 8,878 million USD | -0.6% |
| 1986 | 9,020 million USD | +1.6% |
| 1987 | 7,307 million USD | -19.0% |
| 1988 | 6,821 million USD | -6.7% |
| 1989 | 6,547 million USD | -4.0% |
| 1990 | 3,348 million USD | -48.9% |
| 1991 | 4,147 million USD | +23.9% |
| 1992 | 4,701 million USD | +13.4% |
| 1993 | 4,039 million USD | -14.1% |
| 1994 | 3,625 million USD | -10.2% |
| 1995 | 4,871 million USD | +34.4% |
| 1996 | 4,485 million USD | -7.9% |
| 1997 | 4,136 million USD | -7.8% |
| 1998 | 3,837 million USD | -7.2% |
| 1999 | 3,549 million USD | -7.5% |
| 2000 | 3,260 million USD | -8.1% |
| 2001 | 2,872 million USD | -11.9% |
| 2002 | 3,842 million USD | +33.8% |
| 2003 | 3,976 million USD | +3.5% |
| 2004 | 3,404 million USD | -14.4% |
| 2005 | 3,824 million USD | +12.3% |
| 2006 | 4,120 million USD | +7.8% |
| 2007 | 4,996 million USD | +21.3% |
| 2008 | 4,415 million USD | -11.6% |
| 2009 | 5,449 million USD | +23.4% |
| 2010 | 4,471 million USD | -17.9% |
| 2011 | 4,685 million USD | +4.8% |
| 2012 | 4,841 million USD | +3.3% |
| 2013 | 5,246 million USD | +8.4% |
| 2014 | 5,447 million USD | +3.8% |
| 2015 | 4,533 million USD | -16.8% |
| 2016 | 5,098 million USD | +12.5% |
| 2017 | 5,279 million USD | +3.6% |
| 2018 | 5,294 million USD | +0.3% |
| 2019 | 6,749 million USD | +27.5% |
| 2020 | 7,044 million USD | +4.4% |
| 2021 | 6,355 million USD | -9.8% |
| 2022 | 5,938 million USD | -6.6% |
| 2023 | 6,060 million USD | +2.1% |
| 2024 | 5,997 million USD | -1.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 8,080 million USD | 7,325 million USD | 8,777 million USD | 10 |
| 1980s | 8,246 million USD | 6,547 million USD | 9,020 million USD | 10 |
| 1990s | 4,074 million USD | 3,348 million USD | 4,871 million USD | 10 |
| 2000s | 4,016 million USD | 2,872 million USD | 5,449 million USD | 10 |
| 2010s | 5,164 million USD | 4,471 million USD | 6,749 million USD | 10 |
| 2020s | 6,279 million USD | 5,938 million USD | 7,044 million USD | 5 |
Countries ranked near Afghanistan
- 57 Niger 6,859 million USD compare
- 58 Turkmenistan 6,366 million USD compare
- 59 Norway 6,218 million USD compare
- 61 Ethiopia PDR 5,923 million USD compare
- 62 Dominican Republic 5,791 million USD compare
- 63 Greece 5,768 million USD compare
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)
- Paper and paperboard — Import value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
- Paper and paperboard — Import value, per capita 0.0004 1000 USD per person (2024)
- Graphic papers — Import quantity, annual growth rate 35.85 % change on previous year (2024)
- Graphic papers — Import quantity, per unit of GDP 0 t per US$ of GDP (2024)
- Graphic papers — Import quantity, per capita 0.0001 t per person (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value us$, 2015 in Afghanistan?
- Value added (agriculture, forestry and fishing) — value us$, 2015 in Afghanistan was 5,997 million USD in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Afghanistan?
- The highest recorded value was 9,020 million USD in 1986.
- What is the lowest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Afghanistan?
- The lowest recorded value was 2,872 million USD in 2001.
- How does Afghanistan rank for value added (agriculture, forestry and fishing) — value us$, 2015?
- Afghanistan ranks 60th out of 200 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$, 2015 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 US$, 2015 prices. Statizoid updates them automatically from the source API.
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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).