ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) in Comoros
Comoros: ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) was 5,221 USD in 2024. β² Rising
ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) in Comoros, 1991β2024
Source: Food and Agriculture Organization of the United Nations. Measured in USD.
Analysis
Comoros recorded 5,221 USD for ilo - modelled estimates; faostat - value added (2015 us$) in 2024. That is the highest value across all 34 years on record.
That represents a change of up 2.6% on the previous year and up 23.7% over ten years.
Over the whole period, ilo - modelled estimates; faostat - value added (2015 us$) in Comoros peaked at 5,221 USD in 2024 and was at its lowest, 2,685 USD, in 2007.
That places Comoros 96th out of 180 countries with data for 2024, putting it in the middle of the range.
The long-run direction has been consistently rising across the 34 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 3,677 USD | 3,344 USD | 3,789 USD | 9 |
| 2000s | 3,502 USD | 2,685 USD | 3,942 USD | 10 |
| 2010s | 4,009 USD | 3,179 USD | 4,666 USD | 10 |
| 2020s | 4,948 USD | 4,693 USD | 5,221 USD | 5 |
Countries ranked near Comoros
- 93 Albania 5,734 USD compare
- 94 Saint Lucia 5,594 USD compare
- 95 Syrian Arab Republic 5,573 USD compare
- 97 Bosnia and Herzegovina 4,924 USD compare
- 98 Jamaica 4,902 USD compare
- 99 Ukraine 4,890 USD compare
More agriculture & rural data for Comoros
- Agriculture share gdp 36.58 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 36.58 (2025)
- Agricultural raw materials exports 0.0% (2023)
- Agricultural raw materials imports 0.8% (2023)
- Rural population 66.1% (2025)
- Rural population growth 1.2% (2025)
- Rural population 583,195 (2025)
- Agriculture, forestry, and fishing, value added 36.6% (2025)
- Agriculture, forestry, and fishing, value added 663.86 million current US$ (2025)
- Bananas β Production 80,029 t (2024)
Frequently asked questions
- What is ilo - modelled estimates; faostat - value added (2015 us$) in Comoros?
- Ilo - modelled estimates; faostat - value added (2015 us$) in Comoros was 5,221 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$) recorded in Comoros?
- The highest recorded value was 5,221 USD in 2024.
- What is the lowest ilo - modelled estimates; faostat - value added (2015 us$) recorded in Comoros?
- The lowest recorded value was 2,685 USD in 2007.
- How does Comoros rank for ilo - modelled estimates; faostat - value added (2015 us$)?
- Comoros ranks 96th out of 180 countries with data for 2024.
- Is ilo - modelled estimates; faostat - value added (2015 us$) rising or falling in Comoros?
- Over the last ten years it is up 23.7%. The long-run trend across the full record is rising.
- Where does this Comoros 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.