Value Added (Agriculture, Forestry and Fishing) — Value Standard in Malaysia
Malaysia: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 156,776 million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Malaysia, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
Malaysia recorded 156,776 million SLC for value added (agriculture, forestry and fishing) — value standard in 2024.
That represents a change of up 11.1% on the previous year and up 59.7% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Malaysia peaked at 159,803 million SLC in 2022 and was at its lowest, 3,409 million SLC, in 1970.
That places Malaysia 73rd out of 199 countries with data for 2024, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Malaysia, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 3,409 million SLC | — |
| 1971 | 3,627 million SLC | +6.4% |
| 1972 | 4,019 million SLC | +10.8% |
| 1973 | 5,338 million SLC | +32.8% |
| 1974 | 7,421 million SLC | +39.0% |
| 1975 | 6,860 million SLC | -7.6% |
| 1976 | 8,258 million SLC | +20.4% |
| 1977 | 9,125 million SLC | +10.5% |
| 1978 | 9,513 million SLC | +4.3% |
| 1979 | 11,548 million SLC | +21.4% |
| 1980 | 12,275 million SLC | +6.3% |
| 1981 | 12,572 million SLC | +2.4% |
| 1982 | 13,460 million SLC | +7.1% |
| 1983 | 13,194 million SLC | -2.0% |
| 1984 | 16,185 million SLC | +22.7% |
| 1985 | 15,712 million SLC | -2.9% |
| 1986 | 14,451 million SLC | -8.0% |
| 1987 | 16,185 million SLC | +12.0% |
| 1988 | 18,540 million SLC | +14.6% |
| 1989 | 19,028 million SLC | +2.6% |
| 1990 | 18,120 million SLC | -4.8% |
| 1991 | 19,398 million SLC | +7.1% |
| 1992 | 21,958 million SLC | +13.2% |
| 1993 | 23,741 million SLC | +8.1% |
| 1994 | 26,702 million SLC | +12.5% |
| 1995 | 28,809 million SLC | +7.9% |
| 1996 | 29,637 million SLC | +2.9% |
| 1997 | 31,283 million SLC | +5.6% |
| 1998 | 37,706 million SLC | +20.5% |
| 1999 | 32,610 million SLC | -13.5% |
| 2000 | 30,647 million SLC | -6.0% |
| 2001 | 28,245 million SLC | -7.8% |
| 2002 | 34,432 million SLC | +21.9% |
| 2003 | 38,971 million SLC | +13.2% |
| 2004 | 43,949 million SLC | +12.8% |
| 2005 | 44,912 million SLC | +2.2% |
| 2006 | 51,383 million SLC | +14.4% |
| 2007 | 66,446 million SLC | +29.3% |
| 2008 | 76,753 million SLC | +15.5% |
| 2009 | 65,719 million SLC | -14.4% |
| 2010 | 82,882 million SLC | +26.1% |
| 2011 | 104,424 million SLC | +26.0% |
| 2012 | 95,122 million SLC | -8.9% |
| 2013 | 92,830 million SLC | -2.4% |
| 2014 | 98,177 million SLC | +5.8% |
| 2015 | 97,539 million SLC | -0.6% |
| 2016 | 105,756 million SLC | +8.4% |
| 2017 | 117,995 million SLC | +11.6% |
| 2018 | 108,757 million SLC | -7.8% |
| 2019 | 109,542 million SLC | +0.7% |
| 2020 | 115,834 million SLC | +5.7% |
| 2021 | 148,301 million SLC | +28.0% |
| 2022 | 159,803 million SLC | +7.8% |
| 2023 | 141,155 million SLC | -11.7% |
| 2024 | 156,776 million SLC | +11.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 6,912 million SLC | 3,409 million SLC | 11,548 million SLC | 10 |
| 1980s | 15,160 million SLC | 12,275 million SLC | 19,028 million SLC | 10 |
| 1990s | 26,996 million SLC | 18,120 million SLC | 37,706 million SLC | 10 |
| 2000s | 48,146 million SLC | 28,245 million SLC | 76,753 million SLC | 10 |
| 2010s | 101,302 million SLC | 82,882 million SLC | 117,995 million SLC | 10 |
| 2020s | 144,374 million SLC | 115,834 million SLC | 159,803 million SLC | 5 |
Countries ranked near Malaysia
More environment data for Malaysia
- Historical exposure to drought — Land soil moisture anomaly -1.65 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -1.9 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.179 °C (2025)
- Temperature change 1.25 °C (2025)
- Paper and paperboard — Import value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
- Paper and paperboard — Import value, per capita 0.0332 1000 USD per person (2024)
- Graphic papers — Import quantity, annual growth rate 14.86 % change on previous year (2024)
- Graphic papers — Import quantity, per unit of GDP 0 t per US$ of GDP (2024)
- Graphic papers — Import quantity, per capita 0.0153 t per person (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Malaysia?
- Value added (agriculture, forestry and fishing) — value standard in Malaysia was 156,776 million SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — value standard recorded in Malaysia?
- The highest recorded value was 159,803 million SLC in 2022.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Malaysia?
- The lowest recorded value was 3,409 million SLC in 1970.
- How does Malaysia rank for value added (agriculture, forestry and fishing) — value standard?
- Malaysia ranks 73rd out of 199 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Malaysia?
- Over the last ten years it is up 59.7%. 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 Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency. Statizoid updates them automatically from the source API.
Download this data
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About this data
The FAOSTAT Macro Indicators database provides a selection of country-level macro indicators relating to total economy (Gross Domestic Product, Gross Fixed Capital Formation); agriculture activity; agriculture, forestry and fishing activity; total manufacturing activity; manufacturing of food products and beverages activity; manufacturing activity of tobacco products; and manufacturing activity of food, beverage and tobacco products.It releases time series for a selection of National Accounts variables, including gross domestic product, gross fixed capital formation, industry-level value added and gross output. The database also proposes additional indicators such as gross domestic product per capita, year-on-year growth rates and measures of industry contribution to gross domestic product. All data relating to Gross Domestic Product, Gross Fixed Capital Formation, agriculture, forestry and fishing activity, and to total manufacturing activity originates from the United Nations Statistics Division (UNSD) National Accounts Estimates of Main Aggregates database, which consists of a complete and consistent set of time series of the main National Accounts aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official National Accounts data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information (See http://unstats.un.org/unsd/snaama/Introduction.asp). Data series relating to the sub-industry Agriculture activity are obtained from the UNSD national accounts Official Country Data databases while series on the Manufacturing activity of food and beverages products, manufacturing activity of tobacco products and manufacturing activity of food, beverages and tobacco products originates from the United Nations Industrial Development Organization (UNIDO) INDSTAT2 database. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), UNIDO originating series are rescaled on UNSD National Accounts Estimates of Main Aggregates data series (See Section 17.5 for a more detailed description of the data processing steps).