ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) in Senegal
Senegal: ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) was 2,305 USD in 2024. β² Rising
ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) in Senegal, 1991β2024
Source: Food and Agriculture Organization of the United Nations. Measured in USD.
Analysis
The most recent figure for ilo - modelled estimates; faostat - value added (2015 us$) in Senegal is 2,305 USD, measured in 2024.
The figure is down 1.4% on the previous year and up 21.9% over ten years.
Over the whole period, ilo - modelled estimates; faostat - value added (2015 us$) in Senegal peaked at 3,071 USD in 2019 and was at its lowest, 1,052 USD, in 2002.
Senegal ranks 130th of 168 countries on this measure, in the bottom quarter.
The long-run direction has been consistently rising across the 34 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 1,221 USD | 1,135 USD | 1,380 USD | 9 |
| 2000s | 1,387 USD | 1,052 USD | 1,765 USD | 10 |
| 2010s | 2,093 USD | 1,571 USD | 3,071 USD | 10 |
| 2020s | 2,452 USD | 2,215 USD | 2,899 USD | 5 |
Countries ranked near Senegal
More agriculture & rural data for Senegal
- Agriculture, forestry, and fishing, value added (current US$), annual 26.22 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.1708 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 333.94 current US$ per person (2025)
- Rural population, annual growth rate 1.11 % change on previous year (2025)
- Rural population, per unit of GDP 0.0002 units per US$ of GDP (2025)
- Rural population, per capita 0.4423 units per person (2025)
- Agriculture share gdp 17.08 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 17.08 (2025)
- Agricultural raw materials exports 0.8% (2024)
- Agricultural raw materials imports 1.2% (2024)
Frequently asked questions
- What is ilo - modelled estimates; faostat - value added (2015 us$) in Senegal?
- Ilo - modelled estimates; faostat - value added (2015 us$) in Senegal was 2,305 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$) recorded in Senegal?
- The highest recorded value was 3,071 USD in 2019.
- What is the lowest ilo - modelled estimates; faostat - value added (2015 us$) recorded in Senegal?
- The lowest recorded value was 1,052 USD in 2002.
- How does Senegal rank for ilo - modelled estimates; faostat - value added (2015 us$)?
- Senegal ranks 130th out of 168 countries with data for 2024.
- Is ilo - modelled estimates; faostat - value added (2015 us$) rising or falling in Senegal?
- Over the last ten years it is up 21.9%. The long-run trend across the full record is rising.
- Where does this Senegal 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.