Tea leaves — Gross Production Value in Malaysia
Malaysia: Tea leaves — Gross Production Value was 28,301 1000 Int$ in 2024. ◆ Volatile
Latest (2024)
28,301 1000 Int$
Change on year
down 7.6%
World rank
24th
of 45 countries
All-time high
38,085 1000 Int$
in 2010
All-time low
5,084 1000 Int$
in 1961
Years of data
64
1961–2024
Tea leaves — Gross Production Value in Malaysia, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
Malaysia recorded 28,301 1000 Int$ for tea leaves — gross production value in 2024.
That represents a change of down 7.6% on the previous year and up 23.0% over ten years.
Over the whole period, tea leaves — gross production value in Malaysia peaked at 38,085 1000 Int$ in 2010 and was at its lowest, 5,084 1000 Int$, in 1961.
Malaysia ranks 24th of 45 countries on this measure, in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Tea leaves — Gross Production Value in Malaysia, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 5,084 1000 Int$ | — |
| 1962 | 5,478 1000 Int$ | +7.7% |
| 1963 | 5,270 1000 Int$ | -3.8% |
| 1964 | 5,997 1000 Int$ | +13.8% |
| 1965 | 6,466 1000 Int$ | +7.8% |
| 1966 | 6,649 1000 Int$ | +2.8% |
| 1967 | 5,972 1000 Int$ | -10.2% |
| 1968 | 6,692 1000 Int$ | +12.1% |
| 1969 | 6,730 1000 Int$ | +0.6% |
| 1970 | 6,524 1000 Int$ | -3.1% |
| 1971 | 6,416 1000 Int$ | -1.7% |
| 1972 | 6,493 1000 Int$ | +1.2% |
| 1973 | 6,680 1000 Int$ | +2.9% |
| 1974 | 6,246 1000 Int$ | -6.5% |
| 1975 | 5,916 1000 Int$ | -5.3% |
| 1976 | 6,186 1000 Int$ | +4.6% |
| 1977 | 6,834 1000 Int$ | +10.5% |
| 1978 | 6,659 1000 Int$ | -2.6% |
| 1979 | 6,119 1000 Int$ | -8.1% |
| 1980 | 6,331 1000 Int$ | +3.5% |
| 1981 | 6,634 1000 Int$ | +4.8% |
| 1982 | 6,151 1000 Int$ | -7.3% |
| 1983 | 6,422 1000 Int$ | +4.4% |
| 1984 | 10,570 1000 Int$ | +64.6% |
| 1985 | 10,227 1000 Int$ | -3.2% |
| 1986 | 10,352 1000 Int$ | +1.2% |
| 1987 | 9,320 1000 Int$ | -10.0% |
| 1988 | 9,320 1000 Int$ | +0.0% |
| 1989 | 9,320 1000 Int$ | +0.0% |
| 1990 | 11,963 1000 Int$ | +28.4% |
| 1991 | 13,507 1000 Int$ | +12.9% |
| 1992 | 11,384 1000 Int$ | -15.7% |
| 1993 | 11,577 1000 Int$ | +1.7% |
| 1994 | 10,420 1000 Int$ | -10.0% |
| 1995 | 11,577 1000 Int$ | +11.1% |
| 1996 | 11,577 1000 Int$ | +0.0% |
| 1997 | 11,577 1000 Int$ | +0.0% |
| 1998 | 8,876 1000 Int$ | -23.3% |
| 1999 | 11,384 1000 Int$ | +28.3% |
| 2000 | 10,886 1000 Int$ | -4.4% |
| 2001 | 10,445 1000 Int$ | -4.1% |
| 2002 | 9,841 1000 Int$ | -5.8% |
| 2003 | 7,959 1000 Int$ | -19.1% |
| 2004 | 7,525 1000 Int$ | -5.5% |
| 2005 | 5,499 1000 Int$ | -26.9% |
| 2006 | 11,988 1000 Int$ | +118.0% |
| 2007 | 10,690 1000 Int$ | -10.8% |
| 2008 | 18,423 1000 Int$ | +72.3% |
| 2009 | 13,937 1000 Int$ | -24.3% |
| 2010 | 38,085 1000 Int$ | +173.3% |
| 2011 | 32,092 1000 Int$ | -15.7% |
| 2012 | 28,386 1000 Int$ | -11.5% |
| 2013 | 23,336 1000 Int$ | -17.8% |
| 2014 | 23,006 1000 Int$ | -1.4% |
| 2015 | 21,476 1000 Int$ | -6.7% |
| 2016 | 22,591 1000 Int$ | +5.2% |
| 2017 | 20,038 1000 Int$ | -11.3% |
| 2018 | 20,855 1000 Int$ | +4.1% |
| 2019 | 12,776 1000 Int$ | -38.7% |
| 2020 | 18,128 1000 Int$ | +41.9% |
| 2021 | 13,944 1000 Int$ | -23.1% |
| 2022 | 30,648 1000 Int$ | +119.8% |
| 2023 | 30,618 1000 Int$ | -0.1% |
| 2024 | 28,301 1000 Int$ | -7.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 6,038 1000 Int$ | 5,084 1000 Int$ | 6,730 1000 Int$ | 9 |
| 1970s | 6,407 1000 Int$ | 5,916 1000 Int$ | 6,834 1000 Int$ | 10 |
| 1980s | 8,465 1000 Int$ | 6,151 1000 Int$ | 10,570 1000 Int$ | 10 |
| 1990s | 11,384 1000 Int$ | 8,876 1000 Int$ | 13,507 1000 Int$ | 10 |
| 2000s | 10,719 1000 Int$ | 5,499 1000 Int$ | 18,423 1000 Int$ | 10 |
| 2010s | 24,264 1000 Int$ | 12,776 1000 Int$ | 38,085 1000 Int$ | 10 |
| 2020s | 24,328 1000 Int$ | 13,944 1000 Int$ | 30,648 1000 Int$ | 5 |
Countries ranked near Malaysia
- 21 Papua New Guinea 62,516 1000 Int$ compare
- 22 Cameroon 47,628 1000 Int$ compare
- 23 Republic of Korea 35,504 1000 Int$ compare
- 25 Ecuador 19,749 1000 Int$ compare
- 26 Mozambique 15,685 1000 Int$ compare
- 27 Mauritius 11,612 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)
- 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 tea leaves — gross production value in Malaysia?
- Tea leaves — gross production value in Malaysia was 28,301 1000 Int$ in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest tea leaves — gross production value recorded in Malaysia?
- The highest recorded value was 38,085 1000 Int$ in 2010.
- What is the lowest tea leaves — gross production value recorded in Malaysia?
- The lowest recorded value was 5,084 1000 Int$ in 1961.
- How does Malaysia rank for tea leaves — gross production value?
- Malaysia ranks 24th out of 45 countries with data for 2024.
- Is tea leaves — gross production value rising or falling in Malaysia?
- Over the last ten years it is up 23.0%. 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 Tea leaves — 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.