Silk-worm cocoons suitable for reeling — Gross Production Value in Cambodia
Cambodia: Silk-worm cocoons suitable for reeling — Gross Production Value was 1,195 1000 Int$ in 2024. ▲ Rising
Silk-worm cocoons suitable for reeling — Gross Production Value in Cambodia, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
In 2024, silk-worm cocoons suitable for reeling — gross production value in Cambodia stood at 1,195 1000 Int$.
The figure is up 0.1% over ten years.
Over the whole period, silk-worm cocoons suitable for reeling — gross production value in Cambodia peaked at 1,205 1000 Int$ in 2015 and was at its lowest, 430 1000 Int$, in 1981.
That places Cambodia 13th out of 31 countries with data for 2024, putting it in the middle of the range.
The long-run direction has been consistently rising across the 64 years of available data.
Silk-worm cocoons suitable for reeling — Gross Production Value in Cambodia, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 1,031 1000 Int$ | — |
| 1962 | 1,031 1000 Int$ | +0.0% |
| 1963 | 1,031 1000 Int$ | +0.0% |
| 1964 | 1,031 1000 Int$ | +0.0% |
| 1965 | 1,031 1000 Int$ | +0.0% |
| 1966 | 1,031 1000 Int$ | +0.0% |
| 1967 | 1,031 1000 Int$ | +0.0% |
| 1968 | 1,031 1000 Int$ | +0.0% |
| 1969 | 1,031 1000 Int$ | +0.0% |
| 1970 | 1,031 1000 Int$ | +0.0% |
| 1971 | 1,031 1000 Int$ | +0.0% |
| 1972 | 1,031 1000 Int$ | +0.0% |
| 1973 | 1,031 1000 Int$ | +0.0% |
| 1974 | 1,031 1000 Int$ | +0.0% |
| 1975 | 988 1000 Int$ | -4.2% |
| 1976 | 859 1000 Int$ | -13.1% |
| 1977 | 816 1000 Int$ | -5.0% |
| 1978 | 644 1000 Int$ | -21.1% |
| 1979 | 558 1000 Int$ | -13.4% |
| 1980 | 516 1000 Int$ | -7.5% |
| 1981 | 430 1000 Int$ | -16.7% |
| 1982 | 516 1000 Int$ | +20.0% |
| 1983 | 558 1000 Int$ | +8.1% |
| 1984 | 601 1000 Int$ | +7.7% |
| 1985 | 687 1000 Int$ | +14.3% |
| 1986 | 687 1000 Int$ | +0.0% |
| 1987 | 666 1000 Int$ | -3.1% |
| 1988 | 687 1000 Int$ | +3.2% |
| 1989 | 709 1000 Int$ | +3.2% |
| 1990 | 730 1000 Int$ | +3.0% |
| 1991 | 752 1000 Int$ | +3.0% |
| 1992 | 773 1000 Int$ | +2.8% |
| 1993 | 795 1000 Int$ | +2.8% |
| 1994 | 816 1000 Int$ | +2.6% |
| 1995 | 838 1000 Int$ | +2.7% |
| 1996 | 816 1000 Int$ | -2.6% |
| 1997 | 859 1000 Int$ | +5.3% |
| 1998 | 945 1000 Int$ | +10.0% |
| 1999 | 1,074 1000 Int$ | +13.7% |
| 2000 | 1,193 1000 Int$ | +11.1% |
| 2001 | 1,193 1000 Int$ | +0.0% |
| 2002 | 1,193 1000 Int$ | +0.0% |
| 2003 | 1,193 1000 Int$ | +0.0% |
| 2004 | 1,193 1000 Int$ | +0.0% |
| 2005 | 1,193 1000 Int$ | +0.0% |
| 2006 | 1,193 1000 Int$ | +0.0% |
| 2007 | 1,192 1000 Int$ | -0.1% |
| 2008 | 1,193 1000 Int$ | +0.1% |
| 2009 | 1,193 1000 Int$ | +0.0% |
| 2010 | 1,193 1000 Int$ | +0.0% |
| 2011 | 1,193 1000 Int$ | +0.0% |
| 2012 | 1,193 1000 Int$ | +0.0% |
| 2013 | 1,193 1000 Int$ | +0.0% |
| 2014 | 1,194 1000 Int$ | +0.1% |
| 2015 | 1,205 1000 Int$ | +0.9% |
| 2016 | 1,202 1000 Int$ | -0.2% |
| 2017 | 1,202 1000 Int$ | +0.0% |
| 2018 | 1,203 1000 Int$ | +0.1% |
| 2019 | 1,203 1000 Int$ | +0.0% |
| 2020 | 1,203 1000 Int$ | +0.0% |
| 2021 | 1,203 1000 Int$ | +0.0% |
| 2022 | 1,198 1000 Int$ | -0.4% |
| 2023 | 1,195 1000 Int$ | -0.3% |
| 2024 | 1,195 1000 Int$ | +0.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 1,031 1000 Int$ | 1,031 1000 Int$ | 1,031 1000 Int$ | 9 |
| 1970s | 902 1000 Int$ | 558 1000 Int$ | 1,031 1000 Int$ | 10 |
| 1980s | 605.7 1000 Int$ | 430 1000 Int$ | 709 1000 Int$ | 10 |
| 1990s | 839.8 1000 Int$ | 730 1000 Int$ | 1,074 1000 Int$ | 10 |
| 2000s | 1,193 1000 Int$ | 1,192 1000 Int$ | 1,193 1000 Int$ | 10 |
| 2010s | 1,198 1000 Int$ | 1,193 1000 Int$ | 1,205 1000 Int$ | 10 |
| 2020s | 1,199 1000 Int$ | 1,195 1000 Int$ | 1,203 1000 Int$ | 5 |
Countries ranked near Cambodia
- 10 Afghanistan 2,148 1000 Int$ compare
- 11 Kyrgyzstan 1,474 1000 Int$ compare
- 12 Azerbaijan 1,436 1000 Int$ compare
- 14 Yugoslav SFR 657 1000 Int$ compare
- 15 Spain 632 1000 Int$ compare
- 16 Italy 259 1000 Int$ compare
More agriculture & rural data for Cambodia
- Agriculture, forestry, and fishing, value added (current US$), annual 7.49 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.1611 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 462.77 current US$ per person (2025)
- Rural population, annual growth rate 0.7882 % change on previous year (2025)
- Rural population, per unit of GDP 0.0002 units per US$ of GDP (2025)
- Rural population, per capita 0.5889 units per person (2025)
- Agriculture share gdp 16.11 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 16.11 (2025)
- Agricultural raw materials exports 2.6% (2024)
- Agricultural raw materials imports 3.0% (2024)
Frequently asked questions
- What is silk-worm cocoons suitable for reeling — gross production value in Cambodia?
- Silk-worm cocoons suitable for reeling — gross production value in Cambodia was 1,195 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 Cambodia?
- The highest recorded value was 1,205 1000 Int$ in 2015.
- What is the lowest silk-worm cocoons suitable for reeling — gross production value recorded in Cambodia?
- The lowest recorded value was 430 1000 Int$ in 1981.
- How does Cambodia rank for silk-worm cocoons suitable for reeling — gross production value?
- Cambodia ranks 13th out of 31 countries with data for 2024.
- Is silk-worm cocoons suitable for reeling — gross production value rising or falling in Cambodia?
- Over the last ten years it is up 0.1%. The long-run trend across the full record is rising.
- Where does this Cambodia 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.