Livestock — Gross Production Value in Malaysia
Malaysia: Livestock — Gross Production Value was 4.75 million 1000 Int$ in 2024. ◆ Volatile
Livestock — Gross Production Value in Malaysia, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
The most recent figure for livestock — gross production value in Malaysia is 4.75 million 1000 Int$, measured in 2024.
That represents a change of down 2.6% on the previous year and up 5.2% over ten years.
Over the whole period, livestock — gross production value in Malaysia peaked at 5.00 million 1000 Int$ in 2016 and was at its lowest, 253,052 1000 Int$, in 1961.
Malaysia ranks 49th of 195 countries on this measure, in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Livestock — Gross Production Value in Malaysia, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 253,052 1000 Int$ | — |
| 1962 | 263,059 1000 Int$ | +4.0% |
| 1963 | 276,153 1000 Int$ | +5.0% |
| 1964 | 299,682 1000 Int$ | +8.5% |
| 1965 | 324,273 1000 Int$ | +8.2% |
| 1966 | 350,711 1000 Int$ | +8.2% |
| 1967 | 365,270 1000 Int$ | +4.2% |
| 1968 | 376,585 1000 Int$ | +3.1% |
| 1969 | 413,513 1000 Int$ | +9.8% |
| 1970 | 427,432 1000 Int$ | +3.4% |
| 1971 | 458,276 1000 Int$ | +7.2% |
| 1972 | 481,215 1000 Int$ | +5.0% |
| 1973 | 480,706 1000 Int$ | -0.1% |
| 1974 | 514,515 1000 Int$ | +7.0% |
| 1975 | 629,967 1000 Int$ | +22.4% |
| 1976 | 670,653 1000 Int$ | +6.5% |
| 1977 | 661,029 1000 Int$ | -1.4% |
| 1978 | 681,746 1000 Int$ | +3.1% |
| 1979 | 702,176 1000 Int$ | +3.0% |
| 1980 | 753,936 1000 Int$ | +7.4% |
| 1981 | 790,576 1000 Int$ | +4.9% |
| 1982 | 845,316 1000 Int$ | +6.9% |
| 1983 | 921,916 1000 Int$ | +9.1% |
| 1984 | 981,522 1000 Int$ | +6.5% |
| 1985 | 1.11 million 1000 Int$ | +12.9% |
| 1986 | 1.17 million 1000 Int$ | +5.3% |
| 1987 | 1.30 million 1000 Int$ | +11.1% |
| 1988 | 1.32 million 1000 Int$ | +1.6% |
| 1989 | 1.46 million 1000 Int$ | +10.9% |
| 1990 | 1.66 million 1000 Int$ | +14.0% |
| 1991 | 1.88 million 1000 Int$ | +12.9% |
| 1992 | 2.09 million 1000 Int$ | +11.2% |
| 1993 | 2.30 million 1000 Int$ | +10.2% |
| 1994 | 2.43 million 1000 Int$ | +5.5% |
| 1995 | 2.47 million 1000 Int$ | +2.0% |
| 1996 | 2.46 million 1000 Int$ | -0.6% |
| 1997 | 2.49 million 1000 Int$ | +1.1% |
| 1998 | 2.50 million 1000 Int$ | +0.6% |
| 1999 | 2.31 million 1000 Int$ | -7.7% |
| 2000 | 2.28 million 1000 Int$ | -1.2% |
| 2001 | 2.41 million 1000 Int$ | +5.7% |
| 2002 | 2.55 million 1000 Int$ | +5.6% |
| 2003 | 2.62 million 1000 Int$ | +2.8% |
| 2004 | 2.82 million 1000 Int$ | +7.5% |
| 2005 | 2.99 million 1000 Int$ | +6.3% |
| 2006 | 3.12 million 1000 Int$ | +4.2% |
| 2007 | 3.25 million 1000 Int$ | +4.3% |
| 2008 | 3.31 million 1000 Int$ | +1.8% |
| 2009 | 3.44 million 1000 Int$ | +3.8% |
| 2010 | 3.78 million 1000 Int$ | +10.2% |
| 2011 | 3.89 million 1000 Int$ | +2.7% |
| 2012 | 4.05 million 1000 Int$ | +4.3% |
| 2013 | 4.30 million 1000 Int$ | +6.0% |
| 2014 | 4.52 million 1000 Int$ | +5.2% |
| 2015 | 4.80 million 1000 Int$ | +6.3% |
| 2016 | 5.00 million 1000 Int$ | +4.2% |
| 2017 | 4.91 million 1000 Int$ | -1.9% |
| 2018 | 4.80 million 1000 Int$ | -2.3% |
| 2019 | 4.65 million 1000 Int$ | -3.0% |
| 2020 | 4.90 million 1000 Int$ | +5.2% |
| 2021 | 4.79 million 1000 Int$ | -2.1% |
| 2022 | 4.75 million 1000 Int$ | -1.0% |
| 2023 | 4.88 million 1000 Int$ | +2.9% |
| 2024 | 4.75 million 1000 Int$ | -2.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 324,700 1000 Int$ | 253,052 1000 Int$ | 413,513 1000 Int$ | 9 |
| 1970s | 570,772 1000 Int$ | 427,432 1000 Int$ | 702,176 1000 Int$ | 10 |
| 1980s | 1.06 million 1000 Int$ | 753,936 1000 Int$ | 1.46 million 1000 Int$ | 10 |
| 1990s | 2.26 million 1000 Int$ | 1.66 million 1000 Int$ | 2.50 million 1000 Int$ | 10 |
| 2000s | 2.88 million 1000 Int$ | 2.28 million 1000 Int$ | 3.44 million 1000 Int$ | 10 |
| 2010s | 4.47 million 1000 Int$ | 3.78 million 1000 Int$ | 5.00 million 1000 Int$ | 10 |
| 2020s | 4.81 million 1000 Int$ | 4.75 million 1000 Int$ | 4.90 million 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 livestock — gross production value in Malaysia?
- Livestock — gross production value in Malaysia was 4.75 million 1000 Int$ in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest livestock — gross production value recorded in Malaysia?
- The highest recorded value was 5.00 million 1000 Int$ in 2016.
- What is the lowest livestock — gross production value recorded in Malaysia?
- The lowest recorded value was 253,052 1000 Int$ in 1961.
- How does Malaysia rank for livestock — gross production value?
- Malaysia ranks 49th out of 195 countries with data for 2024.
- Is livestock — gross production value rising or falling in Malaysia?
- Over the last ten years it is up 5.2%. 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 Livestock — 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.