Watermelons — Gross Production Value in Asia
Asia: Watermelons — Gross Production Value was 19.41 million 1000 Int$ in 2024. ◆ Volatile
Watermelons — Gross Production Value in Asia, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
The most recent figure for watermelons — gross production value in Asia is 19.41 million 1000 Int$, measured in 2024.
Compared with earlier readings it is down 0.5% on the previous year and up 2.4% over ten years.
Over the whole period, watermelons — gross production value in Asia peaked at 19.50 million 1000 Int$ in 2023 and was at its lowest, 2.37 million 1000 Int$, in 1964.
The series is highly variable year to year, so single readings are best treated with caution.
Watermelons — Gross Production Value in Asia, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 2.50 million 1000 Int$ | — |
| 1962 | 2.60 million 1000 Int$ | +4.3% |
| 1963 | 2.44 million 1000 Int$ | -6.2% |
| 1964 | 2.37 million 1000 Int$ | -2.8% |
| 1965 | 2.42 million 1000 Int$ | +2.1% |
| 1966 | 2.48 million 1000 Int$ | +2.3% |
| 1967 | 2.67 million 1000 Int$ | +7.9% |
| 1968 | 2.84 million 1000 Int$ | +6.1% |
| 1969 | 2.88 million 1000 Int$ | +1.5% |
| 1970 | 2.46 million 1000 Int$ | -14.5% |
| 1971 | 2.95 million 1000 Int$ | +19.8% |
| 1972 | 2.71 million 1000 Int$ | -8.1% |
| 1973 | 2.66 million 1000 Int$ | -1.7% |
| 1974 | 2.82 million 1000 Int$ | +6.0% |
| 1975 | 3.03 million 1000 Int$ | +7.2% |
| 1976 | 3.19 million 1000 Int$ | +5.4% |
| 1977 | 3.18 million 1000 Int$ | -0.3% |
| 1978 | 3.29 million 1000 Int$ | +3.5% |
| 1979 | 3.49 million 1000 Int$ | +6.0% |
| 1980 | 3.49 million 1000 Int$ | +0.1% |
| 1981 | 3.72 million 1000 Int$ | +6.6% |
| 1982 | 3.93 million 1000 Int$ | +5.6% |
| 1983 | 3.94 million 1000 Int$ | +0.4% |
| 1984 | 4.09 million 1000 Int$ | +3.7% |
| 1985 | 5.43 million 1000 Int$ | +32.9% |
| 1986 | 5.49 million 1000 Int$ | +1.1% |
| 1987 | 5.93 million 1000 Int$ | +7.9% |
| 1988 | 5.63 million 1000 Int$ | -5.0% |
| 1989 | 5.06 million 1000 Int$ | -10.2% |
| 1990 | 5.00 million 1000 Int$ | -1.2% |
| 1991 | 4.88 million 1000 Int$ | -2.3% |
| 1992 | 6.06 million 1000 Int$ | +24.1% |
| 1993 | 6.59 million 1000 Int$ | +8.7% |
| 1994 | 6.68 million 1000 Int$ | +1.4% |
| 1995 | 7.09 million 1000 Int$ | +6.1% |
| 1996 | 8.41 million 1000 Int$ | +18.6% |
| 1997 | 11.07 million 1000 Int$ | +31.5% |
| 1998 | 11.48 million 1000 Int$ | +3.7% |
| 1999 | 13.99 million 1000 Int$ | +21.9% |
| 2000 | 15.00 million 1000 Int$ | +7.2% |
| 2001 | 16.43 million 1000 Int$ | +9.5% |
| 2002 | 17.84 million 1000 Int$ | +8.6% |
| 2003 | 17.07 million 1000 Int$ | -4.4% |
| 2004 | 16.96 million 1000 Int$ | -0.6% |
| 2005 | 17.72 million 1000 Int$ | +4.5% |
| 2006 | 18.13 million 1000 Int$ | +2.3% |
| 2007 | 16.65 million 1000 Int$ | -8.2% |
| 2008 | 17.13 million 1000 Int$ | +2.9% |
| 2009 | 17.39 million 1000 Int$ | +1.5% |
| 2010 | 18.03 million 1000 Int$ | +3.7% |
| 2011 | 18.05 million 1000 Int$ | +0.1% |
| 2012 | 18.32 million 1000 Int$ | +1.5% |
| 2013 | 18.62 million 1000 Int$ | +1.6% |
| 2014 | 18.95 million 1000 Int$ | +1.8% |
| 2015 | 19.28 million 1000 Int$ | +1.7% |
| 2016 | 19.44 million 1000 Int$ | +0.8% |
| 2017 | 19.09 million 1000 Int$ | -1.8% |
| 2018 | 18.61 million 1000 Int$ | -2.5% |
| 2019 | 18.83 million 1000 Int$ | +1.2% |
| 2020 | 19.36 million 1000 Int$ | +2.8% |
| 2021 | 18.97 million 1000 Int$ | -2.0% |
| 2022 | 19.31 million 1000 Int$ | +1.8% |
| 2023 | 19.50 million 1000 Int$ | +1.0% |
| 2024 | 19.41 million 1000 Int$ | -0.5% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 2.58 million 1000 Int$ | 2.37 million 1000 Int$ | 2.88 million 1000 Int$ | 9 |
| 1970s | 2.98 million 1000 Int$ | 2.46 million 1000 Int$ | 3.49 million 1000 Int$ | 10 |
| 1980s | 4.67 million 1000 Int$ | 3.49 million 1000 Int$ | 5.93 million 1000 Int$ | 10 |
| 1990s | 8.13 million 1000 Int$ | 4.88 million 1000 Int$ | 13.99 million 1000 Int$ | 10 |
| 2000s | 17.03 million 1000 Int$ | 15.00 million 1000 Int$ | 18.13 million 1000 Int$ | 10 |
| 2010s | 18.72 million 1000 Int$ | 18.03 million 1000 Int$ | 19.44 million 1000 Int$ | 10 |
| 2020s | 19.31 million 1000 Int$ | 18.97 million 1000 Int$ | 19.50 million 1000 Int$ | 5 |
Countries ranked near Asia
More environment data for Asia
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 0.4646 Percentage change (2025)
- Historical exposure to drought — Land soil moisture anomaly -2.4 Percentage change (2025)
- Temperature change 1.83 °C (2025)
- Standard Deviation 0.229 °C (2025)
- Sawlogs and veneer logs, non-coniferous — Production 213.39 million m3 (2024)
- Industrial roundwood, coniferous — Production 80.29 million m3 (2024)
- Industrial roundwood, non-coniferous — Production 400.22 million m3 (2024)
- Sawlogs and veneer logs — Production 257.46 million m3 (2024)
- Wood charcoal — Production 10.14 million t (2024)
Frequently asked questions
- What is watermelons — gross production value in Asia?
- Watermelons — gross production value in Asia was 19.41 million 1000 Int$ in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest watermelons — gross production value recorded in Asia?
- The highest recorded value was 19.50 million 1000 Int$ in 2023.
- What is the lowest watermelons — gross production value recorded in Asia?
- The lowest recorded value was 2.37 million 1000 Int$ in 1964.
- How does Asia rank for watermelons — gross production value?
- Asia ranks 1st out of 16 groups with data for 2024.
- Is watermelons — gross production value rising or falling in Asia?
- Over the last ten years it is up 2.4%. The long-run trend across the full record is volatile.
- Where does this Asia data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Watermelons — 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.