Jute, raw or retted — Gross Production Value in China
China: Jute, raw or retted — Gross Production Value was 4,494 1000 Int$ in 2024. ◆ Volatile
Jute, raw or retted — Gross Production Value in China, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
The most recent figure for jute, raw or retted — gross production value in China is 4,494 1000 Int$, measured in 2024. That is the lowest value across all 64 years on record.
The figure is down 21.0% on the previous year and down 81.0% over ten years.
Over the whole period, jute, raw or retted — gross production value in China peaked at 447,925 1000 Int$ in 1985 and was at its lowest, 4,494 1000 Int$, in 2024.
China ranks 6th of 22 countries on this measure, in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Jute, raw or retted — Gross Production Value in China, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 33,021 1000 Int$ | — |
| 1962 | 19,034 1000 Int$ | -42.4% |
| 1963 | 25,863 1000 Int$ | +35.9% |
| 1964 | 31,331 1000 Int$ | +21.1% |
| 1965 | 36,140 1000 Int$ | +15.3% |
| 1966 | 42,619 1000 Int$ | +17.9% |
| 1967 | 47,374 1000 Int$ | +11.2% |
| 1968 | 47,597 1000 Int$ | +0.5% |
| 1969 | 42,982 1000 Int$ | -9.7% |
| 1970 | 37,419 1000 Int$ | -12.9% |
| 1971 | 33,599 1000 Int$ | -10.2% |
| 1972 | 41,232 1000 Int$ | +22.7% |
| 1973 | 60,324 1000 Int$ | +46.3% |
| 1974 | 67,849 1000 Int$ | +12.5% |
| 1975 | 75,286 1000 Int$ | +11.0% |
| 1976 | 79,412 1000 Int$ | +5.5% |
| 1977 | 93,577 1000 Int$ | +17.8% |
| 1978 | 116,698 1000 Int$ | +24.7% |
| 1979 | 116,666 1000 Int$ | -0.0% |
| 1980 | 118,986 1000 Int$ | +2.0% |
| 1981 | 135,222 1000 Int$ | +13.6% |
| 1982 | 111,990 1000 Int$ | -17.2% |
| 1983 | 107,315 1000 Int$ | -4.2% |
| 1984 | 158,640 1000 Int$ | +47.8% |
| 1985 | 447,925 1000 Int$ | +182.4% |
| 1986 | 156,307 1000 Int$ | -65.1% |
| 1987 | 139,976 1000 Int$ | -10.4% |
| 1988 | 139,976 1000 Int$ | +0.0% |
| 1989 | 167,972 1000 Int$ | +20.0% |
| 1990 | 186,635 1000 Int$ | +11.1% |
| 1991 | 131,578 1000 Int$ | -29.5% |
| 1992 | 158,640 1000 Int$ | +20.6% |
| 1993 | 172,171 1000 Int$ | +8.5% |
| 1994 | 90,985 1000 Int$ | -47.2% |
| 1995 | 95,184 1000 Int$ | +4.6% |
| 1996 | 96,584 1000 Int$ | +1.5% |
| 1997 | 113,848 1000 Int$ | +17.9% |
| 1998 | 63,456 1000 Int$ | -44.3% |
| 1999 | 44,093 1000 Int$ | -30.5% |
| 2000 | 33,594 1000 Int$ | -23.8% |
| 2001 | 27,995 1000 Int$ | -16.7% |
| 2002 | 41,993 1000 Int$ | +50.0% |
| 2003 | 26,129 1000 Int$ | -37.8% |
| 2004 | 40,547 1000 Int$ | +55.2% |
| 2005 | 38,633 1000 Int$ | -4.7% |
| 2006 | 40,500 1000 Int$ | +4.8% |
| 2007 | 44,979 1000 Int$ | +11.1% |
| 2008 | 37,420 1000 Int$ | -16.8% |
| 2009 | 33,268 1000 Int$ | -11.1% |
| 2010 | 30,235 1000 Int$ | -9.1% |
| 2011 | 32,754 1000 Int$ | +8.3% |
| 2012 | 29,628 1000 Int$ | -9.5% |
| 2013 | 26,735 1000 Int$ | -9.8% |
| 2014 | 23,609 1000 Int$ | -11.7% |
| 2015 | 22,303 1000 Int$ | -5.5% |
| 2016 | 15,817 1000 Int$ | -29.1% |
| 2017 | 13,578 1000 Int$ | -14.2% |
| 2018 | 13,344 1000 Int$ | -1.7% |
| 2019 | 13,624 1000 Int$ | +2.1% |
| 2020 | 9,005 1000 Int$ | -33.9% |
| 2021 | 7,325 1000 Int$ | -18.7% |
| 2022 | 6,812 1000 Int$ | -7.0% |
| 2023 | 5,692 1000 Int$ | -16.4% |
| 2024 | 4,494 1000 Int$ | -21.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 36,218 1000 Int$ | 19,034 1000 Int$ | 47,597 1000 Int$ | 9 |
| 1970s | 72,206 1000 Int$ | 33,599 1000 Int$ | 116,698 1000 Int$ | 10 |
| 1980s | 168,431 1000 Int$ | 107,315 1000 Int$ | 447,925 1000 Int$ | 10 |
| 1990s | 115,317 1000 Int$ | 44,093 1000 Int$ | 186,635 1000 Int$ | 10 |
| 2000s | 36,506 1000 Int$ | 26,129 1000 Int$ | 44,979 1000 Int$ | 10 |
| 2010s | 22,163 1000 Int$ | 13,344 1000 Int$ | 32,754 1000 Int$ | 10 |
| 2020s | 6,666 1000 Int$ | 4,494 1000 Int$ | 9,005 1000 Int$ | 5 |
Countries ranked near China
- 3 Cambodia 71,536 1000 Int$ compare
- 4 Uzbekistan 8,931 1000 Int$ compare
- 5 Nepal 4,769 1000 Int$ compare
- 6 China, mainland 4,494 1000 Int$ compare
- 8 South Sudan 1,741 1000 Int$ compare
- 9 Sudan (former) 1,493 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 jute, raw or retted — gross production value in China?
- Jute, raw or retted — gross production value in China was 4,494 1000 Int$ in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest jute, raw or retted — gross production value recorded in China?
- The highest recorded value was 447,925 1000 Int$ in 1985.
- What is the lowest jute, raw or retted — gross production value recorded in China?
- The lowest recorded value was 4,494 1000 Int$ in 2024.
- How does China rank for jute, raw or retted — gross production value?
- China ranks 6th out of 22 countries with data for 2024.
- Is jute, raw or retted — gross production value rising or falling in China?
- Over the last ten years it is down 81.0%. 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 Jute, raw or retted — 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.