Raw milk of cattle — Gross Production Value in Malaysia
Malaysia: Raw milk of cattle — Gross Production Value was 87,592 1000 SLC in 2024. ▲ Rising
Raw milk of cattle — Gross Production Value in Malaysia, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 SLC.
Analysis
The most recent figure for raw milk of cattle — gross production value in Malaysia is 87,592 1000 SLC, measured in 2024.
The figure is up 5.7% on the previous year and down 43.7% over ten years.
Over the whole period, raw milk of cattle — gross production value in Malaysia peaked at 157,149 1000 SLC in 2015 and was at its lowest, 30,793 1000 SLC, in 1967.
That places Malaysia 120th out of 137 countries with data for 2024, putting it in the bottom quarter.
The long-run direction has been consistently rising across the 64 years of available data.
Raw milk of cattle — Gross Production Value in Malaysia, year by year
| Year | 1000 SLC | Change |
|---|---|---|
| 1961 | 36,787 1000 SLC | — |
| 1962 | 36,787 1000 SLC | +0.0% |
| 1963 | 31,207 1000 SLC | -15.2% |
| 1964 | 36,787 1000 SLC | +17.9% |
| 1965 | 36,787 1000 SLC | +0.0% |
| 1966 | 37,200 1000 SLC | +1.1% |
| 1967 | 30,793 1000 SLC | -17.2% |
| 1968 | 30,793 1000 SLC | +0.0% |
| 1969 | 36,580 1000 SLC | +18.8% |
| 1970 | 36,580 1000 SLC | +0.0% |
| 1971 | 37,820 1000 SLC | +3.4% |
| 1972 | 38,027 1000 SLC | +0.5% |
| 1973 | 39,473 1000 SLC | +3.8% |
| 1974 | 37,820 1000 SLC | -4.2% |
| 1975 | 35,960 1000 SLC | -4.9% |
| 1976 | 39,680 1000 SLC | +10.3% |
| 1977 | 38,647 1000 SLC | -2.6% |
| 1978 | 44,743 1000 SLC | +15.8% |
| 1979 | 50,323 1000 SLC | +12.5% |
| 1980 | 49,600 1000 SLC | -1.4% |
| 1981 | 54,147 1000 SLC | +9.2% |
| 1982 | 54,353 1000 SLC | +0.4% |
| 1983 | 45,467 1000 SLC | -16.3% |
| 1984 | 45,467 1000 SLC | +0.0% |
| 1985 | 40,300 1000 SLC | -11.4% |
| 1986 | 44,433 1000 SLC | +10.3% |
| 1987 | 47,533 1000 SLC | +7.0% |
| 1988 | 55,593 1000 SLC | +17.0% |
| 1989 | 59,933 1000 SLC | +7.8% |
| 1990 | 60,347 1000 SLC | +0.7% |
| 1991 | 59,954 1000 SLC | -0.7% |
| 1992 | 64,439 1000 SLC | +7.5% |
| 1993 | 68,448 1000 SLC | +6.2% |
| 1994 | 73,325 1000 SLC | +7.1% |
| 1995 | 75,991 1000 SLC | +3.6% |
| 1996 | 74,855 1000 SLC | -1.5% |
| 1997 | 70,039 1000 SLC | -6.4% |
| 1998 | 66,133 1000 SLC | -5.6% |
| 1999 | 59,685 1000 SLC | -9.8% |
| 2000 | 60,946 1000 SLC | +2.1% |
| 2001 | 62,331 1000 SLC | +2.3% |
| 2002 | 74,317 1000 SLC | +19.2% |
| 2003 | 75,599 1000 SLC | +1.7% |
| 2004 | 80,125 1000 SLC | +6.0% |
| 2005 | 84,940 1000 SLC | +6.0% |
| 2006 | 93,930 1000 SLC | +10.6% |
| 2007 | 105,545 1000 SLC | +12.4% |
| 2008 | 116,746 1000 SLC | +10.6% |
| 2009 | 128,753 1000 SLC | +10.3% |
| 2010 | 138,467 1000 SLC | +7.5% |
| 2011 | 146,465 1000 SLC | +5.8% |
| 2012 | 149,647 1000 SLC | +2.2% |
| 2013 | 152,913 1000 SLC | +2.2% |
| 2014 | 155,558 1000 SLC | +1.7% |
| 2015 | 157,149 1000 SLC | +1.0% |
| 2016 | 75,923 1000 SLC | -51.7% |
| 2017 | 75,661 1000 SLC | -0.3% |
| 2018 | 79,544 1000 SLC | +5.1% |
| 2019 | 83,865 1000 SLC | +5.4% |
| 2020 | 86,341 1000 SLC | +3.0% |
| 2021 | 80,040 1000 SLC | -7.3% |
| 2022 | 80,499 1000 SLC | +0.6% |
| 2023 | 82,898 1000 SLC | +3.0% |
| 2024 | 87,592 1000 SLC | +5.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 34,858 1000 SLC | 30,793 1000 SLC | 37,200 1000 SLC | 9 |
| 1970s | 39,907 1000 SLC | 35,960 1000 SLC | 50,323 1000 SLC | 10 |
| 1980s | 49,683 1000 SLC | 40,300 1000 SLC | 59,933 1000 SLC | 10 |
| 1990s | 67,322 1000 SLC | 59,685 1000 SLC | 75,991 1000 SLC | 10 |
| 2000s | 88,323 1000 SLC | 60,946 1000 SLC | 128,753 1000 SLC | 10 |
| 2010s | 121,519 1000 SLC | 75,661 1000 SLC | 157,149 1000 SLC | 10 |
| 2020s | 83,474 1000 SLC | 80,040 1000 SLC | 87,592 1000 SLC | 5 |
Countries ranked near Malaysia
- 117 Cyprus 122,969 1000 SLC compare
- 118 Luxembourg 122,792 1000 SLC compare
- 119 Mozambique 122,733 1000 SLC compare
- 121 Mauritius 60,845 1000 SLC compare
- 122 Botswana 46,680 1000 SLC compare
- 123 New Caledonia 41,796 1000 SLC 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 raw milk of cattle — gross production value in Malaysia?
- Raw milk of cattle — gross production value in Malaysia was 87,592 1000 SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest raw milk of cattle — gross production value recorded in Malaysia?
- The highest recorded value was 157,149 1000 SLC in 2015.
- What is the lowest raw milk of cattle — gross production value recorded in Malaysia?
- The lowest recorded value was 30,793 1000 SLC in 1967.
- How does Malaysia rank for raw milk of cattle — gross production value?
- Malaysia ranks 120th out of 137 countries with data for 2024.
- Is raw milk of cattle — gross production value rising or falling in Malaysia?
- Over the last ten years it is down 43.7%. 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 Raw milk of cattle — Gross Production Value (constant 2014-2016 thousand SLC). Statizoid updates them automatically from the source API.
Download this data
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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.