ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) in Malaysia
Malaysia: ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) was 15,788 USD in 2024. β² Rising
ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) in Malaysia, 1991β2024
Source: Food and Agriculture Organization of the United Nations. Measured in USD.
Analysis
The most recent figure for ilo - modelled estimates; faostat - value added (2015 us$) in Malaysia is 15,788 USD, measured in 2024.
That represents a change of up 4.6% on the previous year and up 15.3% over ten years.
Over the whole period, ilo - modelled estimates; faostat - value added (2015 us$) in Malaysia peaked at 15,817 USD in 2019 and was at its lowest, 12,057 USD, in 2001.
Malaysia ranks 56th of 168 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 34 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 12,864 USD | 12,077 USD | 14,024 USD | 9 |
| 2000s | 12,757 USD | 12,057 USD | 13,387 USD | 10 |
| 2010s | 14,380 USD | 13,404 USD | 15,817 USD | 10 |
| 2020s | 15,159 USD | 14,877 USD | 15,788 USD | 5 |
Countries ranked near Malaysia
More agriculture & rural data for Malaysia
- Agriculture, forestry, and fishing, value added (current US$), 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 ilo - modelled estimates; faostat - value added (2015 us$) in Malaysia?
- Ilo - modelled estimates; faostat - value added (2015 us$) in Malaysia was 15,788 USD in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest ilo - modelled estimates; faostat - value added (2015 us$) recorded in Malaysia?
- The highest recorded value was 15,817 USD in 2019.
- What is the lowest ilo - modelled estimates; faostat - value added (2015 us$) recorded in Malaysia?
- The lowest recorded value was 12,057 USD in 2001.
- How does Malaysia rank for ilo - modelled estimates; faostat - value added (2015 us$)?
- Malaysia ranks 56th out of 168 countries with data for 2024.
- Is ilo - modelled estimates; faostat - value added (2015 us$) rising or falling in Malaysia?
- Over the last ten years it is up 15.3%. 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 ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) β Agriculture value added per worker (constant 2015 US$) β Value. Statizoid updates them automatically from the source API.
Download this data
CSV Β· JSON β 34 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
The FAOSTAT Employment indicators domain focuses on indicators related to employment in agrifood systems and rural areas. The update is performed yearly, using data from the International Labour Organization (ILO) database that contains a rich set of indicators from a wide range of topics related to labour statistics. The indicators published in FAOSTAT are derived from the labour force statistics (LFS) and rural and urban labour markets (RURURB) databases of the ILOSTAT database. In addition, the ILO modelled estimates and projections (ILOEST) are used to provide information on employment in agriculture. FAOSTAT also publishes indicators on employment in agrifood systems (AFS) from 2000 at the national, regional, and global levels, using a methodology developed by the FAO to estimate the number of people employed within these systems.