Watermelons — Gross Production Value in Malaysia
Malaysia: Watermelons — Gross Production Value was 35,671 1000 Int$ in 2024. ◆ Volatile
Watermelons — Gross Production Value in Malaysia, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
Malaysia recorded 35,671 1000 Int$ for watermelons — gross production value in 2024.
Compared with earlier readings it is up 10.7% on the previous year and down 12.8% over ten years.
Over the whole period, watermelons — gross production value in Malaysia peaked at 55,374 1000 Int$ in 2009 and was at its lowest, 5,197 1000 Int$, in 1963.
Malaysia ranks 49th of 118 countries on this measure, in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Watermelons — Gross Production Value in Malaysia, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 5,731 1000 Int$ | — |
| 1962 | 6,241 1000 Int$ | +8.9% |
| 1963 | 5,197 1000 Int$ | -16.7% |
| 1964 | 6,752 1000 Int$ | +29.9% |
| 1965 | 7,285 1000 Int$ | +7.9% |
| 1966 | 7,285 1000 Int$ | +0.0% |
| 1967 | 8,329 1000 Int$ | +14.3% |
| 1968 | 8,840 1000 Int$ | +6.1% |
| 1969 | 9,373 1000 Int$ | +6.0% |
| 1970 | 10,394 1000 Int$ | +10.9% |
| 1971 | 13,526 1000 Int$ | +30.1% |
| 1972 | 12,482 1000 Int$ | -7.7% |
| 1973 | 11,438 1000 Int$ | -8.4% |
| 1974 | 14,037 1000 Int$ | +22.7% |
| 1975 | 11,949 1000 Int$ | -14.9% |
| 1976 | 20,185 1000 Int$ | +68.9% |
| 1977 | 19,767 1000 Int$ | -2.1% |
| 1978 | 19,721 1000 Int$ | -0.2% |
| 1979 | 19,767 1000 Int$ | +0.2% |
| 1980 | 24,361 1000 Int$ | +23.2% |
| 1981 | 21,577 1000 Int$ | -11.4% |
| 1982 | 20,765 1000 Int$ | -3.8% |
| 1983 | 12,993 1000 Int$ | -37.4% |
| 1984 | 12,621 1000 Int$ | -2.9% |
| 1985 | 11,554 1000 Int$ | -8.5% |
| 1986 | 10,765 1000 Int$ | -6.8% |
| 1987 | 15,197 1000 Int$ | +41.2% |
| 1988 | 13,573 1000 Int$ | -10.7% |
| 1989 | 12,134 1000 Int$ | -10.6% |
| 1990 | 16,241 1000 Int$ | +33.8% |
| 1991 | 14,849 1000 Int$ | -8.6% |
| 1992 | 23,201 1000 Int$ | +56.2% |
| 1993 | 25,521 1000 Int$ | +10.0% |
| 1994 | 33,642 1000 Int$ | +31.8% |
| 1995 | 31,321 1000 Int$ | -6.9% |
| 1996 | 33,642 1000 Int$ | +7.4% |
| 1997 | 29,001 1000 Int$ | -13.8% |
| 1998 | 51,042 1000 Int$ | +76.0% |
| 1999 | 30,161 1000 Int$ | -40.9% |
| 2000 | 34,802 1000 Int$ | +15.4% |
| 2001 | 27,841 1000 Int$ | -20.0% |
| 2002 | 32,482 1000 Int$ | +16.7% |
| 2003 | 30,161 1000 Int$ | -7.1% |
| 2004 | 30,625 1000 Int$ | +1.5% |
| 2005 | 30,625 1000 Int$ | +0.0% |
| 2006 | 34,548 1000 Int$ | +12.8% |
| 2007 | 35,826 1000 Int$ | +3.7% |
| 2008 | 51,058 1000 Int$ | +42.5% |
| 2009 | 55,374 1000 Int$ | +8.5% |
| 2010 | 54,730 1000 Int$ | -1.2% |
| 2011 | 51,172 1000 Int$ | -6.5% |
| 2012 | 52,360 1000 Int$ | +2.3% |
| 2013 | 48,629 1000 Int$ | -7.1% |
| 2014 | 40,922 1000 Int$ | -15.8% |
| 2015 | 41,513 1000 Int$ | +1.4% |
| 2016 | 44,757 1000 Int$ | +7.8% |
| 2017 | 39,970 1000 Int$ | -10.7% |
| 2018 | 34,862 1000 Int$ | -12.8% |
| 2019 | 33,444 1000 Int$ | -4.1% |
| 2020 | 31,142 1000 Int$ | -6.9% |
| 2021 | 29,673 1000 Int$ | -4.7% |
| 2022 | 31,480 1000 Int$ | +6.1% |
| 2023 | 32,221 1000 Int$ | +2.4% |
| 2024 | 35,671 1000 Int$ | +10.7% |
Malaysia compared with similar countries
- Malaysia's 35,671 1000 Int$ is above the median for upper middle income countries, which is 29,072 1000 Int$, 1.2× the median. (41 countries reporting)
- Malaysia's 35,671 1000 Int$ is above the median for East Asia & Pacific, which is 29,917 1000 Int$, 1.2× the median. (13 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 7,226 1000 Int$ | 5,197 1000 Int$ | 9,373 1000 Int$ | 9 |
| 1970s | 15,327 1000 Int$ | 10,394 1000 Int$ | 20,185 1000 Int$ | 10 |
| 1980s | 15,554 1000 Int$ | 10,765 1000 Int$ | 24,361 1000 Int$ | 10 |
| 1990s | 28,862 1000 Int$ | 14,849 1000 Int$ | 51,042 1000 Int$ | 10 |
| 2000s | 36,334 1000 Int$ | 27,841 1000 Int$ | 55,374 1000 Int$ | 10 |
| 2010s | 44,236 1000 Int$ | 33,444 1000 Int$ | 54,730 1000 Int$ | 10 |
| 2020s | 32,037 1000 Int$ | 29,673 1000 Int$ | 35,671 1000 Int$ | 5 |
Countries ranked near Malaysia
More environment data for Malaysia
- Historical exposure to drought — Land soil moisture anomaly -1.65 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -1.9 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.179 °C (2025)
- Temperature change 1.25 °C (2025)
- Wood-based panels — Production, annual growth rate -2.55 % change on previous year (2024)
- Total greenhouse gas emissions excluding LULUCF (Mt CO2e), annual 4.33 % change on previous year (2024)
- Total greenhouse gas emissions excluding LULUCF (Mt CO2e), per unit 0 Mt CO2e per US$ of GDP (2024)
- Total greenhouse gas emissions excluding LULUCF (Mt CO2e), per capita 0 Mt CO2e per person (2024)
- Methane (CH4) emissions from Agriculture (Mt CO2e), annual growth rate 0.9114 % change on previous year (2024)
Frequently asked questions
- What is watermelons — gross production value in Malaysia?
- Watermelons — gross production value in Malaysia was 35,671 1000 Int$ in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest watermelons — gross production value recorded in Malaysia?
- The highest recorded value was 55,374 1000 Int$ in 2009.
- What is the lowest watermelons — gross production value recorded in Malaysia?
- The lowest recorded value was 5,197 1000 Int$ in 1963.
- How does Malaysia rank for watermelons — gross production value?
- Malaysia ranks 49th out of 118 countries with data for 2024.
- Is watermelons — gross production value rising or falling in Malaysia?
- Over the last ten years it is down 12.8%. The long-run trend across the full record is volatile.
- Where does this Malaysia 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.