ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) in Timor-Leste
Timor-Leste: ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) was 1,190 USD in 2024. β¬ Flat
ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) in Timor-Leste, 1991β2024
Source: Food and Agriculture Organization of the United Nations. Measured in USD.
Analysis
Timor-Leste recorded 1,190 USD for ilo - modelled estimates; faostat - value added (2015 us$) in 2024.
Compared with earlier readings it is up 5.0% on the previous year and down 13.9% over ten years.
Over the whole period, ilo - modelled estimates; faostat - value added (2015 us$) in Timor-Leste peaked at 1,526 USD in 2000 and was at its lowest, 1,018 USD, in 1991.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 1,263 USD | 1,018 USD | 1,443 USD | 9 |
| 2000s | 1,385 USD | 1,279 USD | 1,526 USD | 10 |
| 2010s | 1,353 USD | 1,241 USD | 1,512 USD | 10 |
| 2020s | 1,244 USD | 1,133 USD | 1,418 USD | 5 |
Countries ranked near Timor-Leste
- 7 French Polynesia 88,729 USD compare
- 8 Netherlands (Kingdom of the) 85,215 USD compare
- 9 Norway 82,122 USD compare
- 10 Belgium 65,030 USD compare
- 11 United Kingdom of Great Britain and Northern Ireland 63,776 USD compare
- 12 Germany 62,352 USD compare
- 13 Denmark 58,771 USD compare
More agriculture & rural data for Timor-Leste
- Sheep and Goat Meat β Yield/Carcass Weight 10 kg/An (2024)
- Pulses, Total β Production 10,780 t (2024)
- Roots and Tubers, Total β Area harvested 16,385 ha (2024)
- Roots and Tubers, Total β Yield 3,095 kg/ha (2024)
- Roots and Tubers, Total β Production 50,708 t (2024)
- Sheep and Goat Meat β Producing Animals/Slaughtered 42,336 An (2024)
- Vegetables Primary β Area harvested 17,870 ha (2024)
- Sheep and Goats β Stocks 184,192 An (2024)
- Pulses, Total β Yield 1,413 kg/ha (2024)
- Sheep and Goat Meat β Production 428.54 t (2024)
Frequently asked questions
- What is ilo - modelled estimates; faostat - value added (2015 us$) in Timor-Leste?
- Ilo - modelled estimates; faostat - value added (2015 us$) in Timor-Leste was 1,190 USD in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest ilo - modelled estimates; faostat - value added (2015 us$) recorded in Timor-Leste?
- The highest recorded value was 1,526 USD in 2000.
- What is the lowest ilo - modelled estimates; faostat - value added (2015 us$) recorded in Timor-Leste?
- The lowest recorded value was 1,018 USD in 1991.
- How does Timor-Leste rank for ilo - modelled estimates; faostat - value added (2015 us$)?
- Timor-Leste ranks 10th out of 14 regions with data for 2024.
- Is ilo - modelled estimates; faostat - value added (2015 us$) rising or falling in Timor-Leste?
- Over the last ten years it is down 13.9%. The long-run trend across the full record is flat.
- Where does this Timor-Leste data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) 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.