Rice — Gross Production Value in Malaysia
Malaysia: Rice — Gross Production Value was 822,404 1000 Int$ in 2024. ▲ Rising
Latest (2024)
822,404 1000 Int$
Change on year
down 3.3%
World rank
23rd
of 114 countries
All-time high
1.11 million 1000 Int$
in 2014
All-time low
425,904 1000 Int$
in 1961
Years of data
64
1961–2024
Rice — Gross Production Value in Malaysia, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
The most recent figure for rice — gross production value in Malaysia is 822,404 1000 Int$, measured in 2024.
That represents a change of down 3.3% on the previous year and down 26.1% over ten years.
Over the whole period, rice — gross production value in Malaysia peaked at 1.11 million 1000 Int$ in 2014 and was at its lowest, 425,904 1000 Int$, in 1961.
That places Malaysia 23rd out of 114 countries with data for 2024, putting it in the top quarter.
The long-run direction has been consistently rising across the 64 years of available data.
Rice — Gross Production Value in Malaysia, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 425,904 1000 Int$ | — |
| 1962 | 440,087 1000 Int$ | +3.3% |
| 1963 | 465,456 1000 Int$ | +5.8% |
| 1964 | 434,002 1000 Int$ | -6.8% |
| 1965 | 491,030 1000 Int$ | +13.1% |
| 1966 | 479,716 1000 Int$ | -2.3% |
| 1967 | 471,265 1000 Int$ | -1.8% |
| 1968 | 560,775 1000 Int$ | +19.0% |
| 1969 | 622,034 1000 Int$ | +10.9% |
| 1970 | 657,550 1000 Int$ | +5.7% |
| 1971 | 710,543 1000 Int$ | +8.1% |
| 1972 | 718,521 1000 Int$ | +1.1% |
| 1973 | 774,296 1000 Int$ | +7.8% |
| 1974 | 819,291 1000 Int$ | +5.8% |
| 1975 | 780,966 1000 Int$ | -4.7% |
| 1976 | 780,184 1000 Int$ | -0.1% |
| 1977 | 742,250 1000 Int$ | -4.9% |
| 1978 | 585,822 1000 Int$ | -21.1% |
| 1979 | 819,291 1000 Int$ | +39.9% |
| 1980 | 799,582 1000 Int$ | -2.4% |
| 1981 | 789,921 1000 Int$ | -1.2% |
| 1982 | 736,620 1000 Int$ | -6.7% |
| 1983 | 678,242 1000 Int$ | -7.9% |
| 1984 | 614,634 1000 Int$ | -9.4% |
| 1985 | 682,560 1000 Int$ | +11.1% |
| 1986 | 671,942 1000 Int$ | -1.6% |
| 1987 | 636,152 1000 Int$ | -5.3% |
| 1988 | 663,347 1000 Int$ | +4.3% |
| 1989 | 681,808 1000 Int$ | +2.8% |
| 1990 | 737,160 1000 Int$ | +8.1% |
| 1991 | 753,338 1000 Int$ | +2.2% |
| 1992 | 787,118 1000 Int$ | +4.5% |
| 1993 | 822,985 1000 Int$ | +4.6% |
| 1994 | 836,415 1000 Int$ | +1.6% |
| 1995 | 831,911 1000 Int$ | -0.5% |
| 1996 | 871,494 1000 Int$ | +4.8% |
| 1997 | 828,917 1000 Int$ | -4.9% |
| 1998 | 760,333 1000 Int$ | -8.3% |
| 1999 | 796,468 1000 Int$ | +4.8% |
| 2000 | 837,202 1000 Int$ | +5.1% |
| 2001 | 819,289 1000 Int$ | -2.1% |
| 2002 | 859,317 1000 Int$ | +4.9% |
| 2003 | 882,644 1000 Int$ | +2.7% |
| 2004 | 885,381 1000 Int$ | +0.3% |
| 2005 | 904,935 1000 Int$ | +2.2% |
| 2006 | 855,269 1000 Int$ | -5.5% |
| 2007 | 928,790 1000 Int$ | +8.6% |
| 2008 | 920,187 1000 Int$ | -0.9% |
| 2009 | 981,992 1000 Int$ | +6.7% |
| 2010 | 963,920 1000 Int$ | -1.8% |
| 2011 | 1.01 million 1000 Int$ | +4.5% |
| 2012 | 1.02 million 1000 Int$ | +0.9% |
| 2013 | 1.02 million 1000 Int$ | +0.2% |
| 2014 | 1.11 million 1000 Int$ | +9.3% |
| 2015 | 1.07 million 1000 Int$ | -3.6% |
| 2016 | 1.07 million 1000 Int$ | -0.1% |
| 2017 | 1.01 million 1000 Int$ | -6.2% |
| 2018 | 1.03 million 1000 Int$ | +2.7% |
| 2019 | 920,136 1000 Int$ | -10.8% |
| 2020 | 921,513 1000 Int$ | +0.1% |
| 2021 | 954,834 1000 Int$ | +3.6% |
| 2022 | 892,317 1000 Int$ | -6.5% |
| 2023 | 850,635 1000 Int$ | -4.7% |
| 2024 | 822,404 1000 Int$ | -3.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 487,808 1000 Int$ | 425,904 1000 Int$ | 622,034 1000 Int$ | 9 |
| 1970s | 738,871 1000 Int$ | 585,822 1000 Int$ | 819,291 1000 Int$ | 10 |
| 1980s | 695,481 1000 Int$ | 614,634 1000 Int$ | 799,582 1000 Int$ | 10 |
| 1990s | 802,614 1000 Int$ | 737,160 1000 Int$ | 871,494 1000 Int$ | 10 |
| 2000s | 887,501 1000 Int$ | 819,289 1000 Int$ | 981,992 1000 Int$ | 10 |
| 2010s | 1.02 million 1000 Int$ | 920,136 1000 Int$ | 1.11 million 1000 Int$ | 10 |
| 2020s | 888,341 1000 Int$ | 822,404 1000 Int$ | 954,834 1000 Int$ | 5 |
Countries ranked near Malaysia
More agriculture & rural data for Malaysia
- Agriculture, forestry, and fishing, value added (current US$), annual 13.04 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0822 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 1,078 current US$ per person (2025)
- Rural population, annual growth rate -0.913 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.2261 units per person (2025)
- Agriculture share gdp 8.22 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 8.22 (2025)
- Agricultural raw materials exports 1.1% (2025)
- Agricultural raw materials imports 1.3% (2025)
Frequently asked questions
- What is rice — gross production value in Malaysia?
- Rice — gross production value in Malaysia was 822,404 1000 Int$ in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest rice — gross production value recorded in Malaysia?
- The highest recorded value was 1.11 million 1000 Int$ in 2014.
- What is the lowest rice — gross production value recorded in Malaysia?
- The lowest recorded value was 425,904 1000 Int$ in 1961.
- How does Malaysia rank for rice — gross production value?
- Malaysia ranks 23rd out of 114 countries with data for 2024.
- Is rice — gross production value rising or falling in Malaysia?
- Over the last ten years it is down 26.1%. The long-run trend across the full record is rising.
- Where does this Malaysia data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Rice — Gross Production Value (constant 2014-2016 thousand I$). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 64 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
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.