ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) in Malawi
Malawi: ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) was 529.18 USD in 2024. β² Rising
ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) in Malawi, 1991β2024
Source: Food and Agriculture Organization of the United Nations. Measured in USD.
Analysis
Malawi recorded 529.18 USD for ilo - modelled estimates; faostat - value added (2015 us$) in 2024.
Compared with earlier readings it is down 3.5% on the previous year and up 1.3% over ten years.
Over the whole period, ilo - modelled estimates; faostat - value added (2015 us$) in Malawi peaked at 579.04 USD in 2019 and was at its lowest, 212.45 USD, in 1992.
That places Malawi 162nd out of 168 countries with data for 2024, putting it in the bottom quarter.
The long-run direction has been consistently rising across the 34 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 303.67 USD | 212.45 USD | 376.32 USD | 9 |
| 2000s | 357.56 USD | 323.72 USD | 386.58 USD | 10 |
| 2010s | 507.35 USD | 412.03 USD | 579.04 USD | 10 |
| 2020s | 546.48 USD | 529.18 USD | 572.97 USD | 5 |
Countries ranked near Malawi
- 159 Zimbabwe 653.95 USD compare
- 160 Liberia 632.65 USD compare
- 161 Lesotho, Kingdom of 585.43 USD compare
- 163 Mozambique, Republic of 506.98 USD compare
- 164 Eritrea, The State of 503.5 USD compare
- 165 Madagascar, Republic of 307.61 USD compare
More agriculture & rural data for Malawi
- Agriculture share gdp 30.03 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 30.03 (2025)
- Agricultural raw materials exports 0.9% (2024)
- Agricultural raw materials imports 2.7% (2024)
- Rural population 82.4% (2025)
- Rural population growth 2.2% (2025)
- Rural population 18.31 million (2025)
- Agriculture, forestry, and fishing, value added 30.0% (2025)
- Agriculture, forestry, and fishing, value added 4.48 billion current US$ (2025)
- Bananas β Production 1.13 million t (2024)
Frequently asked questions
- What is ilo - modelled estimates; faostat - value added (2015 us$) in Malawi?
- Ilo - modelled estimates; faostat - value added (2015 us$) in Malawi was 529.18 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$) recorded in Malawi?
- The highest recorded value was 579.04 USD in 2019.
- What is the lowest ilo - modelled estimates; faostat - value added (2015 us$) recorded in Malawi?
- The lowest recorded value was 212.45 USD in 1992.
- How does Malawi rank for ilo - modelled estimates; faostat - value added (2015 us$)?
- Malawi ranks 162nd out of 168 countries with data for 2024.
- Is ilo - modelled estimates; faostat - value added (2015 us$) rising or falling in Malawi?
- Over the last ten years it is up 1.3%. The long-run trend across the full record is rising.
- Where does this Malawi 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.