Sugar Crops Primary: Gross Production Value (constant 2014-2016) in China
China: Sugar Crops Primary: Gross Production Value (constant 2014-2016) was 5.19 million 1000 Int$ in 2024. ◆ Volatile
Sugar Crops Primary — Gross Production Value in China, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
In 2024, sugar crops primary — gross production value in China stood at 5.19 million 1000 Int$.
Compared with earlier readings it is up 0.8% on the previous year and down 14.1% over ten years.
Over the whole period, sugar crops primary — gross production value in China peaked at 6.21 million 1000 Int$ in 2013 and was at its lowest, 457,155 1000 Int$, in 1962.
That places China 3rd out of 198 countries with data for 2024, putting it in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Sugar Crops Primary: Gross Production Value (constant 2014-2016) in China, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 594,820 1000 Int$ | — |
| 1962 | 457,155 1000 Int$ | -23.1% |
| 1963 | 677,833 1000 Int$ | +48.3% |
| 1964 | 921,675 1000 Int$ | +36.0% |
| 1965 | 1.13 million 1000 Int$ | +22.7% |
| 1966 | 1.05 million 1000 Int$ | -7.4% |
| 1967 | 1.00 million 1000 Int$ | -4.1% |
| 1968 | 949,308 1000 Int$ | -5.5% |
| 1969 | 908,602 1000 Int$ | -4.3% |
| 1970 | 983,424 1000 Int$ | +8.2% |
| 1971 | 1.06 million 1000 Int$ | +7.4% |
| 1972 | 1.18 million 1000 Int$ | +11.4% |
| 1973 | 1.24 million 1000 Int$ | +5.0% |
| 1974 | 1.26 million 1000 Int$ | +1.6% |
| 1975 | 1.22 million 1000 Int$ | -2.9% |
| 1976 | 1.29 million 1000 Int$ | +5.6% |
| 1977 | 1.42 million 1000 Int$ | +10.3% |
| 1978 | 1.45 million 1000 Int$ | +1.9% |
| 1979 | 1.55 million 1000 Int$ | +6.9% |
| 1980 | 1.73 million 1000 Int$ | +12.0% |
| 1981 | 2.02 million 1000 Int$ | +16.7% |
| 1982 | 2.36 million 1000 Int$ | +16.6% |
| 1983 | 2.17 million 1000 Int$ | -8.1% |
| 1984 | 2.48 million 1000 Int$ | +14.3% |
| 1985 | 3.06 million 1000 Int$ | +23.4% |
| 1986 | 2.93 million 1000 Int$ | -4.2% |
| 1987 | 2.75 million 1000 Int$ | -5.9% |
| 1988 | 3.12 million 1000 Int$ | +13.3% |
| 1989 | 2.93 million 1000 Int$ | -6.0% |
| 1990 | 3.53 million 1000 Int$ | +20.4% |
| 1991 | 4.03 million 1000 Int$ | +14.1% |
| 1992 | 4.25 million 1000 Int$ | +5.4% |
| 1993 | 3.66 million 1000 Int$ | -13.8% |
| 1994 | 3.57 million 1000 Int$ | -2.5% |
| 1995 | 3.81 million 1000 Int$ | +6.8% |
| 1996 | 3.98 million 1000 Int$ | +4.5% |
| 1997 | 4.43 million 1000 Int$ | +11.2% |
| 1998 | 4.60 million 1000 Int$ | +3.7% |
| 1999 | 3.91 million 1000 Int$ | -14.9% |
| 2000 | 3.58 million 1000 Int$ | -8.5% |
| 2001 | 4.01 million 1000 Int$ | +12.1% |
| 2002 | 4.74 million 1000 Int$ | +18.2% |
| 2003 | 4.42 million 1000 Int$ | -6.7% |
| 2004 | 4.36 million 1000 Int$ | -1.4% |
| 2005 | 4.30 million 1000 Int$ | -1.4% |
| 2006 | 4.74 million 1000 Int$ | +10.3% |
| 2007 | 5.53 million 1000 Int$ | +16.5% |
| 2008 | 6.08 million 1000 Int$ | +10.0% |
| 2009 | 5.56 million 1000 Int$ | -8.6% |
| 2010 | 5.44 million 1000 Int$ | -2.0% |
| 2011 | 5.67 million 1000 Int$ | +4.2% |
| 2012 | 6.10 million 1000 Int$ | +7.6% |
| 2013 | 6.21 million 1000 Int$ | +1.8% |
| 2014 | 6.04 million 1000 Int$ | -2.8% |
| 2015 | 5.08 million 1000 Int$ | -16.0% |
| 2016 | 5.06 million 1000 Int$ | -0.3% |
| 2017 | 5.15 million 1000 Int$ | +1.8% |
| 2018 | 5.41 million 1000 Int$ | +5.1% |
| 2019 | 5.51 million 1000 Int$ | +1.9% |
| 2020 | 5.44 million 1000 Int$ | -1.3% |
| 2021 | 5.18 million 1000 Int$ | -4.7% |
| 2022 | 5.08 million 1000 Int$ | -1.9% |
| 2023 | 5.15 million 1000 Int$ | +1.3% |
| 2024 | 5.19 million 1000 Int$ | +0.8% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 854,676 1000 Int$ | 457,155 1000 Int$ | 1.13 million 1000 Int$ | 9 |
| 1970s | 1.26 million 1000 Int$ | 983,424 1000 Int$ | 1.55 million 1000 Int$ | 10 |
| 1980s | 2.55 million 1000 Int$ | 1.73 million 1000 Int$ | 3.12 million 1000 Int$ | 10 |
| 1990s | 3.98 million 1000 Int$ | 3.53 million 1000 Int$ | 4.60 million 1000 Int$ | 10 |
| 2000s | 4.73 million 1000 Int$ | 3.58 million 1000 Int$ | 6.08 million 1000 Int$ | 10 |
| 2010s | 5.57 million 1000 Int$ | 5.06 million 1000 Int$ | 6.21 million 1000 Int$ | 10 |
| 2020s | 5.21 million 1000 Int$ | 5.08 million 1000 Int$ | 5.44 million 1000 Int$ | 5 |
Countries ranked near China
More agriculture & rural data for China
- Unmanufactured tobacco — Area harvested 1.03 million ha (2024)
- Swine / pigs — Stocks 432.65 million An (2024)
- Tomatoes — Area harvested 1.09 million ha (2024)
- Tomatoes — Yield 56,364 kg/ha (2024)
- Tomatoes — Production 61.70 million t (2024)
- Groundnuts, excluding shelled — Area harvested 4.87 million ha (2024)
- Bananas — Production 12.10 million t (2024)
- Bananas — Yield 37,177 kg/ha (2024)
- Bananas — Area harvested 325,500 ha (2024)
- Groundnuts, excluding shelled — Yield 4,032 kg/ha (2024)
Frequently asked questions
- What is sugar crops primary — gross production value in China?
- Sugar crops primary — gross production value in China was 5.19 million 1000 Int$ in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest sugar crops primary — gross production value recorded in China?
- The highest recorded value was 6.21 million 1000 Int$ in 2013.
- What is the lowest sugar crops primary — gross production value recorded in China?
- The lowest recorded value was 457,155 1000 Int$ in 1962.
- How does China rank for sugar crops primary — gross production value?
- China ranks 3rd out of 198 countries with data for 2024.
- Is sugar crops primary — gross production value rising or falling in China?
- Over the last ten years it is down 14.1%. 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 Sugar Crops Primary — 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.