Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Malaysia
Malaysia: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 was 26,338 million USD in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Malaysia, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
In 2024, value added (agriculture, forestry and fishing) — value us$, 2015 in Malaysia stood at 26,338 million USD. That is the highest value across all 55 years on record.
That represents a change of up 3.1% on the previous year and up 7.0% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value us$, 2015 in Malaysia peaked at 26,338 million USD in 2024 and was at its lowest, 5,371 million USD, in 1970.
Malaysia ranks 26th of 200 countries on this measure, in the top quarter.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Malaysia, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 5,371 million USD | — |
| 1971 | 6,782 million USD | +26.3% |
| 1972 | 7,299 million USD | +7.6% |
| 1973 | 8,158 million USD | +11.8% |
| 1974 | 8,722 million USD | +6.9% |
| 1975 | 8,458 million USD | -3.0% |
| 1976 | 9,493 million USD | +12.2% |
| 1977 | 9,716 million USD | +2.4% |
| 1978 | 9,877 million USD | +1.6% |
| 1979 | 10,444 million USD | +5.7% |
| 1980 | 10,578 million USD | +1.3% |
| 1981 | 11,092 million USD | +4.9% |
| 1982 | 11,828 million USD | +6.6% |
| 1983 | 11,734 million USD | -0.8% |
| 1984 | 12,067 million USD | +2.8% |
| 1985 | 12,307 million USD | +2.0% |
| 1986 | 12,820 million USD | +4.2% |
| 1987 | 13,721 million USD | +7.0% |
| 1988 | 14,466 million USD | +5.4% |
| 1989 | 15,332 million USD | +6.0% |
| 1990 | 15,238 million USD | -0.6% |
| 1991 | 15,224 million USD | -0.1% |
| 1992 | 16,268 million USD | +6.9% |
| 1993 | 15,757 million USD | -3.1% |
| 1994 | 15,459 million USD | -1.9% |
| 1995 | 15,068 million USD | -2.5% |
| 1996 | 15,750 million USD | +4.5% |
| 1997 | 15,856 million USD | +0.7% |
| 1998 | 15,418 million USD | -2.8% |
| 1999 | 15,492 million USD | +0.5% |
| 2000 | 16,430 million USD | +6.1% |
| 2001 | 16,402 million USD | -0.2% |
| 2002 | 16,872 million USD | +2.9% |
| 2003 | 17,890 million USD | +6.0% |
| 2004 | 18,726 million USD | +4.7% |
| 2005 | 19,212 million USD | +2.6% |
| 2006 | 20,333 million USD | +5.8% |
| 2007 | 20,613 million USD | +1.4% |
| 2008 | 21,404 million USD | +3.8% |
| 2009 | 21,415 million USD | +0.1% |
| 2010 | 21,928 million USD | +2.4% |
| 2011 | 23,429 million USD | +6.8% |
| 2012 | 23,655 million USD | +1.0% |
| 2013 | 24,124 million USD | +2.0% |
| 2014 | 24,618 million USD | +2.0% |
| 2015 | 24,975 million USD | +1.4% |
| 2016 | 24,063 million USD | -3.7% |
| 2017 | 25,479 million USD | +5.9% |
| 2018 | 25,512 million USD | +0.1% |
| 2019 | 26,008 million USD | +1.9% |
| 2020 | 25,377 million USD | -2.4% |
| 2021 | 25,349 million USD | -0.1% |
| 2022 | 25,368 million USD | +0.1% |
| 2023 | 25,551 million USD | +0.7% |
| 2024 | 26,338 million USD | +3.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 8,432 million USD | 5,371 million USD | 10,444 million USD | 10 |
| 1980s | 12,595 million USD | 10,578 million USD | 15,332 million USD | 10 |
| 1990s | 15,553 million USD | 15,068 million USD | 16,268 million USD | 10 |
| 2000s | 18,930 million USD | 16,402 million USD | 21,415 million USD | 10 |
| 2010s | 24,379 million USD | 21,928 million USD | 26,008 million USD | 10 |
| 2020s | 25,597 million USD | 25,349 million USD | 26,338 million USD | 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)
- Other paper and paperboard, not elsewhere specified — Import 5.51 % change on previous year (2024)
- Other paper and paperboard, not elsewhere specified — Import 0.0004 t per person (2024)
- Exposure to drought — Land soil moisture anomaly 0.5975 Percentage change (2024)
- Exposure to drought — Cropland soil moisture anomaly -0.6686 Percentage change (2024)
- Other paper and paperboard, not elsewhere specified — Import value 3.01 % change on previous year (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value us$, 2015 in Malaysia?
- Value added (agriculture, forestry and fishing) — value us$, 2015 in Malaysia was 26,338 million USD in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Malaysia?
- The highest recorded value was 26,338 million USD in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Malaysia?
- The lowest recorded value was 5,371 million USD in 1970.
- How does Malaysia rank for value added (agriculture, forestry and fishing) — value us$, 2015?
- Malaysia ranks 26th out of 200 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$, 2015 rising or falling in Malaysia?
- Over the last ten years it is up 7.0%. 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 Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 prices. 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).