Silk-worm cocoons suitable for reeling — Gross Production Value in Afghanistan
Afghanistan: Silk-worm cocoons suitable for reeling — Gross Production Value was 2,148 1000 Int$ in 2024. ▬ Flat
Silk-worm cocoons suitable for reeling — Gross Production Value in Afghanistan, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
Afghanistan recorded 2,148 1000 Int$ for silk-worm cocoons suitable for reeling — gross production value in 2024.
That represents a change of unchanged over ten years.
Over the whole period, silk-worm cocoons suitable for reeling — gross production value in Afghanistan peaked at 4,726 1000 Int$ in 1976 and was at its lowest, 1,461 1000 Int$, in 1972.
That places Afghanistan 10th out of 31 countries with data for 2024, putting it in the middle of the range.
Silk-worm cocoons suitable for reeling — Gross Production Value in Afghanistan, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 2,148 1000 Int$ | — |
| 1962 | 2,148 1000 Int$ | +0.0% |
| 1963 | 2,148 1000 Int$ | +0.0% |
| 1964 | 2,148 1000 Int$ | +0.0% |
| 1965 | 2,148 1000 Int$ | +0.0% |
| 1966 | 2,148 1000 Int$ | +0.0% |
| 1967 | 2,148 1000 Int$ | +0.0% |
| 1968 | 2,148 1000 Int$ | +0.0% |
| 1969 | 1,933 1000 Int$ | -10.0% |
| 1970 | 1,933 1000 Int$ | +0.0% |
| 1971 | 1,890 1000 Int$ | -2.2% |
| 1972 | 1,461 1000 Int$ | -22.7% |
| 1973 | 2,148 1000 Int$ | +47.0% |
| 1974 | 2,148 1000 Int$ | +0.0% |
| 1975 | 2,148 1000 Int$ | +0.0% |
| 1976 | 4,726 1000 Int$ | +120.0% |
| 1977 | 2,148 1000 Int$ | -54.5% |
| 1978 | 2,578 1000 Int$ | +20.0% |
| 1979 | 2,148 1000 Int$ | -16.7% |
| 1980 | 2,148 1000 Int$ | +0.0% |
| 1981 | 2,148 1000 Int$ | +0.0% |
| 1982 | 2,148 1000 Int$ | +0.0% |
| 1983 | 2,148 1000 Int$ | +0.0% |
| 1984 | 2,148 1000 Int$ | +0.0% |
| 1985 | 2,148 1000 Int$ | +0.0% |
| 1986 | 2,148 1000 Int$ | +0.0% |
| 1987 | 2,148 1000 Int$ | +0.0% |
| 1988 | 2,148 1000 Int$ | +0.0% |
| 1989 | 2,148 1000 Int$ | +0.0% |
| 1990 | 2,148 1000 Int$ | +0.0% |
| 1991 | 2,148 1000 Int$ | +0.0% |
| 1992 | 2,148 1000 Int$ | +0.0% |
| 1993 | 2,148 1000 Int$ | +0.0% |
| 1994 | 2,148 1000 Int$ | +0.0% |
| 1995 | 2,148 1000 Int$ | +0.0% |
| 1996 | 2,148 1000 Int$ | +0.0% |
| 1997 | 2,148 1000 Int$ | +0.0% |
| 1998 | 2,148 1000 Int$ | +0.0% |
| 1999 | 2,148 1000 Int$ | +0.0% |
| 2000 | 2,148 1000 Int$ | +0.0% |
| 2001 | 2,148 1000 Int$ | +0.0% |
| 2002 | 2,148 1000 Int$ | +0.0% |
| 2003 | 2,148 1000 Int$ | +0.0% |
| 2004 | 2,148 1000 Int$ | +0.0% |
| 2005 | 2,148 1000 Int$ | +0.0% |
| 2006 | 2,148 1000 Int$ | +0.0% |
| 2007 | 2,148 1000 Int$ | +0.0% |
| 2008 | 2,148 1000 Int$ | +0.0% |
| 2009 | 2,148 1000 Int$ | +0.0% |
| 2010 | 2,148 1000 Int$ | +0.0% |
| 2011 | 2,148 1000 Int$ | +0.0% |
| 2012 | 2,148 1000 Int$ | +0.0% |
| 2013 | 2,148 1000 Int$ | +0.0% |
| 2014 | 2,148 1000 Int$ | +0.0% |
| 2015 | 2,148 1000 Int$ | +0.0% |
| 2016 | 2,148 1000 Int$ | +0.0% |
| 2017 | 2,148 1000 Int$ | +0.0% |
| 2018 | 2,148 1000 Int$ | +0.0% |
| 2019 | 2,148 1000 Int$ | +0.0% |
| 2020 | 2,148 1000 Int$ | +0.0% |
| 2021 | 2,148 1000 Int$ | +0.0% |
| 2022 | 2,148 1000 Int$ | +0.0% |
| 2023 | 2,148 1000 Int$ | +0.0% |
| 2024 | 2,148 1000 Int$ | +0.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 2,124 1000 Int$ | 1,933 1000 Int$ | 2,148 1000 Int$ | 9 |
| 1970s | 2,333 1000 Int$ | 1,461 1000 Int$ | 4,726 1000 Int$ | 10 |
| 1980s | 2,148 1000 Int$ | 2,148 1000 Int$ | 2,148 1000 Int$ | 10 |
| 1990s | 2,148 1000 Int$ | 2,148 1000 Int$ | 2,148 1000 Int$ | 10 |
| 2000s | 2,148 1000 Int$ | 2,148 1000 Int$ | 2,148 1000 Int$ | 10 |
| 2010s | 2,148 1000 Int$ | 2,148 1000 Int$ | 2,148 1000 Int$ | 10 |
| 2020s | 2,148 1000 Int$ | 2,148 1000 Int$ | 2,148 1000 Int$ | 5 |
Countries ranked near Afghanistan
- 7 Thailand 8,592 1000 Int$ compare
- 8 Brazil 6,794 1000 Int$ compare
- 9 Tajikistan 6,075 1000 Int$ compare
- 11 Kyrgyzstan 1,474 1000 Int$ compare
- 12 Azerbaijan 1,436 1000 Int$ compare
- 13 Cambodia 1,195 1000 Int$ compare
More agriculture & rural data for Afghanistan
- Agriculture, forestry, and fishing, value added (current US$), annual 2.31 % change on previous year (2024)
- Agriculture, forestry, and fishing, value added (current US$), per 0.3429 current US$ per US$ of GDP (2024)
- Agriculture, forestry, and fishing, value added (current US$), per 142.96 current US$ per person (2024)
- Rural population, annual growth rate 2.47 % change on previous year (2025)
- Rural population, per unit of GDP 0.0018 units per US$ of GDP (2024)
- Rural population, per capita 0.7406 units per person (2025)
- Agriculture share gdp 34.29 (2024)
- Value added in the agricultural sector as of gdp vs gdp per capita 34.29 (2024)
- Agricultural raw materials exports 21.0% (2019)
- Agricultural raw materials imports 1.8% (2019)
Frequently asked questions
- What is silk-worm cocoons suitable for reeling — gross production value in Afghanistan?
- Silk-worm cocoons suitable for reeling — gross production value in Afghanistan was 2,148 1000 Int$ in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest silk-worm cocoons suitable for reeling — gross production value recorded in Afghanistan?
- The highest recorded value was 4,726 1000 Int$ in 1976.
- What is the lowest silk-worm cocoons suitable for reeling — gross production value recorded in Afghanistan?
- The lowest recorded value was 1,461 1000 Int$ in 1972.
- How does Afghanistan rank for silk-worm cocoons suitable for reeling — gross production value?
- Afghanistan ranks 10th out of 31 countries with data for 2024.
- Is silk-worm cocoons suitable for reeling — gross production value rising or falling in Afghanistan?
- Over the last ten years it is unchanged. The long-run trend across the full record is flat.
- Where does this Afghanistan data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Silk-worm cocoons suitable for reeling — Gross Production Value (constant 2014-2016 thousand I$). Statizoid updates them automatically from the source API.
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About this data
The domain provides detailed data on the value of agricultural production that is calculated by the agricultural production data and the price data at farm gate. Thus, the value of production measures the agricultural production in monetary terms at the farm gate level.