ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) in Qatar
Qatar: ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) was 14,879 USD in 2024. β² Rising
ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) in Qatar, 1991β2024
Source: Food and Agriculture Organization of the United Nations. Measured in USD.
Analysis
The most recent figure for ilo - modelled estimates; faostat - value added (2015 us$) in Qatar is 14,879 USD, measured in 2024.
The figure is up 0.7% on the previous year and up 32.4% over ten years.
Over the whole period, ilo - modelled estimates; faostat - value added (2015 us$) in Qatar peaked at 18,140 USD in 2021 and was at its lowest, 5,804 USD, in 2006.
That places Qatar 59th out of 168 countries with data for 2024, putting it in the middle of the range.
The long-run direction has been consistently rising across the 34 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 9,639 USD | 7,832 USD | 13,932 USD | 9 |
| 2000s | 7,362 USD | 5,804 USD | 10,172 USD | 10 |
| 2010s | 11,468 USD | 8,955 USD | 14,458 USD | 10 |
| 2020s | 15,881 USD | 14,043 USD | 18,140 USD | 5 |
Countries ranked near Qatar
More agriculture & rural data for Qatar
- Agriculture, forestry, and fishing, value added (current US$), annual 4.94 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0031 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 221.93 current US$ per person (2025)
- Rural population, annual growth rate -1.72 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.0064 units per person (2025)
- Agriculture share gdp 0.306 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 0.306 (2025)
- Agricultural raw materials exports 0.0% (2024)
- Agricultural raw materials imports 0.4% (2024)
Frequently asked questions
- What is ilo - modelled estimates; faostat - value added (2015 us$) in Qatar?
- Ilo - modelled estimates; faostat - value added (2015 us$) in Qatar was 14,879 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$) recorded in Qatar?
- The highest recorded value was 18,140 USD in 2021.
- What is the lowest ilo - modelled estimates; faostat - value added (2015 us$) recorded in Qatar?
- The lowest recorded value was 5,804 USD in 2006.
- How does Qatar rank for ilo - modelled estimates; faostat - value added (2015 us$)?
- Qatar ranks 59th out of 168 countries with data for 2024.
- Is ilo - modelled estimates; faostat - value added (2015 us$) rising or falling in Qatar?
- Over the last ten years it is up 32.4%. The long-run trend across the full record is rising.
- Where does this Qatar 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.