Unmanufactured tobacco — Gross Production Value in Malaysia
Malaysia: Unmanufactured tobacco — Gross Production Value was 179 1000 Int$ in 2024. ◆ Volatile
Unmanufactured tobacco — Gross Production Value in Malaysia, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
In 2024, unmanufactured tobacco — gross production value in Malaysia stood at 179 1000 Int$.
That represents a change of down 27.2% on the previous year and down 95.5% over ten years.
Over the whole period, unmanufactured tobacco — gross production value in Malaysia peaked at 31,891 1000 Int$ in 1986 and was at its lowest, 164 1000 Int$, in 2022.
That places Malaysia 117th out of 128 countries with data for 2024, putting it in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Unmanufactured tobacco — Gross Production Value in Malaysia, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 4,045 1000 Int$ | — |
| 1962 | 5,021 1000 Int$ | +24.1% |
| 1963 | 5,259 1000 Int$ | +4.7% |
| 1964 | 5,530 1000 Int$ | +5.2% |
| 1965 | 5,142 1000 Int$ | -7.0% |
| 1966 | 4,719 1000 Int$ | -8.2% |
| 1967 | 4,714 1000 Int$ | -0.1% |
| 1968 | 4,175 1000 Int$ | -11.4% |
| 1969 | 4,267 1000 Int$ | +2.2% |
| 1970 | 5,879 1000 Int$ | +37.8% |
| 1971 | 8,782 1000 Int$ | +49.4% |
| 1972 | 16,119 1000 Int$ | +83.5% |
| 1973 | 13,498 1000 Int$ | -16.3% |
| 1974 | 17,066 1000 Int$ | +26.4% |
| 1975 | 20,569 1000 Int$ | +20.5% |
| 1976 | 10,457 1000 Int$ | -49.2% |
| 1977 | 16,294 1000 Int$ | +55.8% |
| 1978 | 21,725 1000 Int$ | +33.3% |
| 1979 | 16,876 1000 Int$ | -22.3% |
| 1980 | 21,221 1000 Int$ | +25.7% |
| 1981 | 16,126 1000 Int$ | -24.0% |
| 1982 | 19,306 1000 Int$ | +19.7% |
| 1983 | 19,487 1000 Int$ | +0.9% |
| 1984 | 16,029 1000 Int$ | -17.7% |
| 1985 | 21,371 1000 Int$ | +33.3% |
| 1986 | 31,891 1000 Int$ | +49.2% |
| 1987 | 25,237 1000 Int$ | -20.9% |
| 1988 | 16,668 1000 Int$ | -34.0% |
| 1989 | 31,037 1000 Int$ | +86.2% |
| 1990 | 22,742 1000 Int$ | -26.7% |
| 1991 | 20,641 1000 Int$ | -9.2% |
| 1992 | 25,185 1000 Int$ | +22.0% |
| 1993 | 21,678 1000 Int$ | -13.9% |
| 1994 | 13,633 1000 Int$ | -37.1% |
| 1995 | 23,109 1000 Int$ | +69.5% |
| 1996 | 26,256 1000 Int$ | +13.6% |
| 1997 | 25,176 1000 Int$ | -4.1% |
| 1998 | 25,015 1000 Int$ | -0.6% |
| 1999 | 17,189 1000 Int$ | -31.3% |
| 2000 | 16,063 1000 Int$ | -6.6% |
| 2001 | 18,587 1000 Int$ | +15.7% |
| 2002 | 25,317 1000 Int$ | +36.2% |
| 2003 | 26,182 1000 Int$ | +3.4% |
| 2004 | 28,798 1000 Int$ | +10.0% |
| 2005 | 21,151 1000 Int$ | -26.6% |
| 2006 | 13,577 1000 Int$ | -35.8% |
| 2007 | 14,453 1000 Int$ | +6.5% |
| 2008 | 14,061 1000 Int$ | -2.7% |
| 2009 | 5,539 1000 Int$ | -60.6% |
| 2010 | 7,039 1000 Int$ | +27.1% |
| 2011 | 6,531 1000 Int$ | -7.2% |
| 2012 | 4,417 1000 Int$ | -32.4% |
| 2013 | 938 1000 Int$ | -78.8% |
| 2014 | 3,962 1000 Int$ | +322.4% |
| 2015 | 4,791 1000 Int$ | +20.9% |
| 2016 | 4,916 1000 Int$ | +2.6% |
| 2017 | 4,556 1000 Int$ | -7.3% |
| 2018 | 1,357 1000 Int$ | -70.2% |
| 2019 | 290 1000 Int$ | -78.6% |
| 2020 | 473 1000 Int$ | +63.1% |
| 2021 | 385 1000 Int$ | -18.6% |
| 2022 | 164 1000 Int$ | -57.4% |
| 2023 | 246 1000 Int$ | +50.0% |
| 2024 | 179 1000 Int$ | -27.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 4,764 1000 Int$ | 4,045 1000 Int$ | 5,530 1000 Int$ | 9 |
| 1970s | 14,726 1000 Int$ | 5,879 1000 Int$ | 21,725 1000 Int$ | 10 |
| 1980s | 21,837 1000 Int$ | 16,029 1000 Int$ | 31,891 1000 Int$ | 10 |
| 1990s | 22,062 1000 Int$ | 13,633 1000 Int$ | 26,256 1000 Int$ | 10 |
| 2000s | 18,373 1000 Int$ | 5,539 1000 Int$ | 28,798 1000 Int$ | 10 |
| 2010s | 3,880 1000 Int$ | 290 1000 Int$ | 7,039 1000 Int$ | 10 |
| 2020s | 289.4 1000 Int$ | 164 1000 Int$ | 473 1000 Int$ | 5 |
Countries ranked near Malaysia
- 114 Saint Vincent and the Grenadines 232 1000 Int$ compare
- 115 Guyana 226 1000 Int$ compare
- 116 Mauritius 201 1000 Int$ compare
- 118 Sierra Leone 107 1000 Int$ compare
- 119 Réunion 49 1000 Int$ compare
- 120 Costa Rica 39 1000 Int$ compare
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)
- Share of GDP from agriculture 8.2% (2025)
- Agriculture as a share of GDP vs. GDP per capita 8.2% (2025)
- Agricultural raw materials exports 1.1% (2025)
- Agricultural raw materials imports 1.3% (2025)
Frequently asked questions
- What is unmanufactured tobacco — gross production value in Malaysia?
- Unmanufactured tobacco — gross production value in Malaysia was 179 1000 Int$ in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest unmanufactured tobacco — gross production value recorded in Malaysia?
- The highest recorded value was 31,891 1000 Int$ in 1986.
- What is the lowest unmanufactured tobacco — gross production value recorded in Malaysia?
- The lowest recorded value was 164 1000 Int$ in 2022.
- How does Malaysia rank for unmanufactured tobacco — gross production value?
- Malaysia ranks 117th out of 128 countries with data for 2024.
- Is unmanufactured tobacco — gross production value rising or falling in Malaysia?
- Over the last ten years it is down 95.5%. 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 Unmanufactured tobacco — 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.