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

Latest (2024)
631,536 1000 Int$
Change on year
up 0.1%
World rank
2nd
of 31 countries
All-time high
2.15 million 1000 Int$
in 2015
All-time low
65,232 1000 Int$
in 1961
Years of data
64
1961–2024

Silk-worm cocoons suitable for reeling — Gross Production Value in China, 1961–2024

0500.0k1.0M1.5M2.0M196119922024

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

Annual values for Silk-worm cocoons suitable for reeling — Gross Production Value (constant 2014-2016 thousand I$) in China, 1961 to 2024.
Year 1000 Int$ 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

DecadeAverage LowestHighest 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. 1 India 1.12 million 1000 Int$ compare
  2. 3 China, mainland 631,527 1000 Int$ compare
  3. 4 USSR 249,174 1000 Int$ compare
  4. 5 Uzbekistan 129,166 1000 Int$ compare

See the full ranking of 57 places →

More agriculture & rural data for China

All data for China →

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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Silk-worm cocoons suitable for reeling — Gross Production Value in China. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 22 August 2026, from https://agriculture.statizoid.com/stat/silk-worm-cocoons-suitable-for-reeling-gross-production-value-constant-2014-2016-thousand/china/

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About this data

Indicator
Silk-worm cocoons suitable for reeling — Gross Production Value (constant 2014-2016 thousand I$)
Unit
1000 Int$
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
57 places, 2,891 data points, 1961–2024
Last refreshed

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.