Shorn wool, greasy, including fleece-washed shorn wool — Gross in Malaysia
Malaysia: Shorn wool, greasy, including fleece-washed shorn wool — Gross was 650 1000 Int$ in 2024. ◆ Volatile
Latest (2024)
650 1000 Int$
Change on year
down 1.1%
World rank
91st
of 100 countries
All-time high
1,063 1000 Int$
in 1992
All-time low
139 1000 Int$
in 1962
Years of data
64
1961–2024
Shorn wool, greasy, including fleece-washed shorn wool — Gross in Malaysia, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
In 2024, shorn wool, greasy, including fleece-washed shorn wool — gross in Malaysia stood at 650 1000 Int$.
The figure is down 1.1% on the previous year and up 5.9% over ten years.
Over the whole period, shorn wool, greasy, including fleece-washed shorn wool — gross in Malaysia peaked at 1,063 1000 Int$ in 1992 and was at its lowest, 139 1000 Int$, in 1962.
That places Malaysia 91st out of 100 countries with data for 2024, putting it in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Shorn wool, greasy, including fleece-washed shorn wool — Gross in Malaysia, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 146 1000 Int$ | — |
| 1962 | 139 1000 Int$ | -4.8% |
| 1963 | 147 1000 Int$ | +5.8% |
| 1964 | 149 1000 Int$ | +1.4% |
| 1965 | 168 1000 Int$ | +12.8% |
| 1966 | 150 1000 Int$ | -10.7% |
| 1967 | 146 1000 Int$ | -2.7% |
| 1968 | 143 1000 Int$ | -2.1% |
| 1969 | 154 1000 Int$ | +7.7% |
| 1970 | 151 1000 Int$ | -1.9% |
| 1971 | 147 1000 Int$ | -2.6% |
| 1972 | 158 1000 Int$ | +7.5% |
| 1973 | 161 1000 Int$ | +1.9% |
| 1974 | 169 1000 Int$ | +5.0% |
| 1975 | 179 1000 Int$ | +5.9% |
| 1976 | 187 1000 Int$ | +4.5% |
| 1977 | 206 1000 Int$ | +10.2% |
| 1978 | 216 1000 Int$ | +4.9% |
| 1979 | 259 1000 Int$ | +19.9% |
| 1980 | 236 1000 Int$ | -8.9% |
| 1981 | 259 1000 Int$ | +9.7% |
| 1982 | 244 1000 Int$ | -5.8% |
| 1983 | 233 1000 Int$ | -4.5% |
| 1984 | 267 1000 Int$ | +14.6% |
| 1985 | 303 1000 Int$ | +13.5% |
| 1986 | 350 1000 Int$ | +15.5% |
| 1987 | 501 1000 Int$ | +43.1% |
| 1988 | 578 1000 Int$ | +15.4% |
| 1989 | 705 1000 Int$ | +22.0% |
| 1990 | 791 1000 Int$ | +12.2% |
| 1991 | 950 1000 Int$ | +20.1% |
| 1992 | 1,063 1000 Int$ | +11.9% |
| 1993 | 1,007 1000 Int$ | -5.3% |
| 1994 | 957 1000 Int$ | -5.0% |
| 1995 | 854 1000 Int$ | -10.8% |
| 1996 | 722 1000 Int$ | -15.5% |
| 1997 | 645 1000 Int$ | -10.7% |
| 1998 | 638 1000 Int$ | -1.1% |
| 1999 | 584 1000 Int$ | -8.5% |
| 2000 | 605 1000 Int$ | +3.6% |
| 2001 | 497 1000 Int$ | -17.9% |
| 2002 | 485 1000 Int$ | -2.4% |
| 2003 | 443 1000 Int$ | -8.7% |
| 2004 | 445 1000 Int$ | +0.5% |
| 2005 | 446 1000 Int$ | +0.2% |
| 2006 | 635 1000 Int$ | +42.4% |
| 2007 | 697 1000 Int$ | +9.8% |
| 2008 | 505 1000 Int$ | -27.5% |
| 2009 | 525 1000 Int$ | +4.0% |
| 2010 | 618 1000 Int$ | +17.7% |
| 2011 | 618 1000 Int$ | +0.0% |
| 2012 | 618 1000 Int$ | +0.0% |
| 2013 | 618 1000 Int$ | +0.0% |
| 2014 | 614 1000 Int$ | -0.6% |
| 2015 | 608 1000 Int$ | -1.0% |
| 2016 | 622 1000 Int$ | +2.3% |
| 2017 | 625 1000 Int$ | +0.5% |
| 2018 | 628 1000 Int$ | +0.5% |
| 2019 | 629 1000 Int$ | +0.2% |
| 2020 | 633 1000 Int$ | +0.6% |
| 2021 | 644 1000 Int$ | +1.7% |
| 2022 | 652 1000 Int$ | +1.2% |
| 2023 | 657 1000 Int$ | +0.8% |
| 2024 | 650 1000 Int$ | -1.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 149.11 1000 Int$ | 139 1000 Int$ | 168 1000 Int$ | 9 |
| 1970s | 183.3 1000 Int$ | 147 1000 Int$ | 259 1000 Int$ | 10 |
| 1980s | 367.6 1000 Int$ | 233 1000 Int$ | 705 1000 Int$ | 10 |
| 1990s | 821.1 1000 Int$ | 584 1000 Int$ | 1,063 1000 Int$ | 10 |
| 2000s | 528.3 1000 Int$ | 443 1000 Int$ | 697 1000 Int$ | 10 |
| 2010s | 619.8 1000 Int$ | 608 1000 Int$ | 629 1000 Int$ | 10 |
| 2020s | 647.2 1000 Int$ | 633 1000 Int$ | 657 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)
- 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 shorn wool, greasy, including fleece-washed shorn wool — gross in Malaysia?
- Shorn wool, greasy, including fleece-washed shorn wool — gross in Malaysia was 650 1000 Int$ in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest shorn wool, greasy, including fleece-washed shorn wool — gross recorded in Malaysia?
- The highest recorded value was 1,063 1000 Int$ in 1992.
- What is the lowest shorn wool, greasy, including fleece-washed shorn wool — gross recorded in Malaysia?
- The lowest recorded value was 139 1000 Int$ in 1962.
- How does Malaysia rank for shorn wool, greasy, including fleece-washed shorn wool — gross?
- Malaysia ranks 91st out of 100 countries with data for 2024.
- Is shorn wool, greasy, including fleece-washed shorn wool — gross rising or falling in Malaysia?
- Over the last ten years it is up 5.9%. 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 Shorn wool, greasy, including fleece-washed shorn wool — Gross Production Value (constant 2014-2016 thousand I$). 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.