Silk-worm cocoons suitable for reeling — Gross Production Value in China
China: Silk-worm cocoons suitable for reeling — Gross Production Value was 631,536 1000 Int$ in 2024. ◆ Volatile
Silk-worm cocoons suitable for reeling — Gross Production Value in China, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
In 2024, silk-worm cocoons suitable for reeling — gross production value in China stood at 631,536 1000 Int$.
That represents a change of up 0.1% on the previous year and down 68.4% over ten years.
Over the whole period, silk-worm cocoons suitable for reeling — gross production value in China peaked at 2.15 million 1000 Int$ in 2015 and was at its lowest, 65,232 1000 Int$, in 1961.
That places China 2nd out of 31 countries with data for 2024, putting it in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Silk-worm cocoons suitable for reeling — Gross Production Value in China, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 65,232 1000 Int$ | — |
| 1962 | 86,502 1000 Int$ | +32.6% |
| 1963 | 103,833 1000 Int$ | +20.0% |
| 1964 | 112,532 1000 Int$ | +8.4% |
| 1965 | 125,180 1000 Int$ | +11.2% |
| 1966 | 129,575 1000 Int$ | +3.5% |
| 1967 | 141,544 1000 Int$ | +9.2% |
| 1968 | 158,286 1000 Int$ | +11.8% |
| 1969 | 172,025 1000 Int$ | +8.7% |
| 1970 | 176,862 1000 Int$ | +2.8% |
| 1971 | 191,830 1000 Int$ | +8.5% |
| 1972 | 258,376 1000 Int$ | +34.7% |
| 1973 | 271,187 1000 Int$ | +5.0% |
| 1974 | 280,381 1000 Int$ | +3.4% |
| 1975 | 289,893 1000 Int$ | +3.4% |
| 1976 | 298,794 1000 Int$ | +3.1% |
| 1977 | 308,830 1000 Int$ | +3.4% |
| 1978 | 327,097 1000 Int$ | +5.9% |
| 1979 | 389,983 1000 Int$ | +19.2% |
| 1980 | 470,097 1000 Int$ | +20.5% |
| 1981 | 495,929 1000 Int$ | +5.5% |
| 1982 | 450,442 1000 Int$ | -9.2% |
| 1983 | 441,472 1000 Int$ | -2.0% |
| 1984 | 463,228 1000 Int$ | +4.9% |
| 1985 | 480,150 1000 Int$ | +3.7% |
| 1986 | 480,528 1000 Int$ | +0.1% |
| 1987 | 502,593 1000 Int$ | +4.6% |
| 1988 | 559,099 1000 Int$ | +11.2% |
| 1989 | 617,075 1000 Int$ | +10.4% |
| 1990 | 679,304 1000 Int$ | +10.1% |
| 1991 | 726,098 1000 Int$ | +6.9% |
| 1992 | 862,267 1000 Int$ | +18.8% |
| 1993 | 943,051 1000 Int$ | +9.4% |
| 1994 | 1.03 million 1000 Int$ | +9.7% |
| 1995 | 996,718 1000 Int$ | -3.6% |
| 1996 | 633,267 1000 Int$ | -36.5% |
| 1997 | 622,952 1000 Int$ | -1.6% |
| 1998 | 829,161 1000 Int$ | +33.1% |
| 1999 | 861,382 1000 Int$ | +3.9% |
| 2000 | 960,192 1000 Int$ | +11.5% |
| 2001 | 1.16 million 1000 Int$ | +20.4% |
| 2002 | 1.23 million 1000 Int$ | +6.3% |
| 2003 | 1.18 million 1000 Int$ | -4.3% |
| 2004 | 1.29 million 1000 Int$ | +9.5% |
| 2005 | 1.37 million 1000 Int$ | +6.8% |
| 2006 | 1.56 million 1000 Int$ | +13.5% |
| 2007 | 1.58 million 1000 Int$ | +1.3% |
| 2008 | 1.59 million 1000 Int$ | +0.7% |
| 2009 | 1.61 million 1000 Int$ | +1.4% |
| 2010 | 1.45 million 1000 Int$ | -9.8% |
| 2011 | 1.31 million 1000 Int$ | -9.5% |
| 2012 | 1.59 million 1000 Int$ | +21.1% |
| 2013 | 1.64 million 1000 Int$ | +3.2% |
| 2014 | 2.00 million 1000 Int$ | +21.8% |
| 2015 | 2.15 million 1000 Int$ | +7.3% |
| 2016 | 2.00 million 1000 Int$ | -6.8% |
| 2017 | 1.79 million 1000 Int$ | -10.4% |
| 2018 | 1.52 million 1000 Int$ | -15.5% |
| 2019 | 865,982 1000 Int$ | -42.9% |
| 2020 | 673,165 1000 Int$ | -22.3% |
| 2021 | 588,421 1000 Int$ | -12.6% |
| 2022 | 629,648 1000 Int$ | +7.0% |
| 2023 | 630,965 1000 Int$ | +0.2% |
| 2024 | 631,536 1000 Int$ | +0.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 121,634 1000 Int$ | 65,232 1000 Int$ | 172,025 1000 Int$ | 9 |
| 1970s | 279,323 1000 Int$ | 176,862 1000 Int$ | 389,983 1000 Int$ | 10 |
| 1980s | 496,061 1000 Int$ | 441,472 1000 Int$ | 617,075 1000 Int$ | 10 |
| 1990s | 818,834 1000 Int$ | 622,952 1000 Int$ | 1.03 million 1000 Int$ | 10 |
| 2000s | 1.35 million 1000 Int$ | 960,192 1000 Int$ | 1.61 million 1000 Int$ | 10 |
| 2010s | 1.63 million 1000 Int$ | 865,982 1000 Int$ | 2.15 million 1000 Int$ | 10 |
| 2020s | 630,747 1000 Int$ | 588,421 1000 Int$ | 673,165 1000 Int$ | 5 |
Countries ranked near China
- 1 India 1.12 million 1000 Int$ compare
- 3 China, mainland 631,527 1000 Int$ compare
- 4 USSR 249,174 1000 Int$ compare
- 5 Uzbekistan 129,166 1000 Int$ compare
More agriculture & rural data for China
- Agriculture, forestry, and fishing, value added (current US$), annual 1.98 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0666 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 923.03 current US$ per person (2025)
- Rural population, annual growth rate -1.48 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.3366 units per person (2025)
- Agriculture share gdp 6.66 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 6.66 (2025)
- Agricultural raw materials exports 0.3% (2024)
- Agricultural raw materials imports 2.7% (2024)
Frequently asked questions
- What is silk-worm cocoons suitable for reeling — gross production value in China?
- Silk-worm cocoons suitable for reeling — gross production value in China was 631,536 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 China?
- The highest recorded value was 2.15 million 1000 Int$ in 2015.
- What is the lowest silk-worm cocoons suitable for reeling — gross production value recorded in China?
- The lowest recorded value was 65,232 1000 Int$ in 1961.
- How does China rank for silk-worm cocoons suitable for reeling — gross production value?
- China ranks 2nd out of 31 countries with data for 2024.
- Is silk-worm cocoons suitable for reeling — gross production value rising or falling in China?
- Over the last ten years it is down 68.4%. The long-run trend across the full record is volatile.
- Where does this China 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.