ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) in Nepal
Nepal: ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) was 4,648 USD in 2024. β² Rising
ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) in Nepal, 1991β2024
Source: Food and Agriculture Organization of the United Nations. Measured in USD.
Analysis
Nepal recorded 4,648 USD for ilo - modelled estimates; faostat - value added (2015 us$) in 2024. That is the highest value across all 34 years on record.
Compared with earlier readings it is up 5.4% on the previous year and up 34.1% over ten years.
Over the whole period, ilo - modelled estimates; faostat - value added (2015 us$) in Nepal peaked at 4,648 USD in 2024 and was at its lowest, 1,707 USD, in 1993.
That places Nepal 100th out of 168 countries with data for 2024, putting it in the middle of the range.
The long-run direction has been consistently rising across the 34 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 1,847 USD | 1,707 USD | 1,954 USD | 9 |
| 2000s | 2,328 USD | 2,007 USD | 2,713 USD | 10 |
| 2010s | 3,482 USD | 2,791 USD | 4,285 USD | 10 |
| 2020s | 4,333 USD | 4,155 USD | 4,648 USD | 5 |
Countries ranked near Nepal
More agriculture & rural data for Nepal
- Agriculture, forestry, and fishing, value added (current US$), annual 4.5 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.2156 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 331.1 current US$ per person (2025)
- Rural population, annual growth rate -0.7937 % change on previous year (2025)
- Rural population, per unit of GDP 0.0002 units per US$ of GDP (2025)
- Rural population, per capita 0.33 units per person (2025)
- Agriculture share gdp 21.56 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 21.56 (2025)
- Agricultural raw materials exports 1.6% (2022)
- Agricultural raw materials imports 1.3% (2022)
Frequently asked questions
- What is ilo - modelled estimates; faostat - value added (2015 us$) in Nepal?
- Ilo - modelled estimates; faostat - value added (2015 us$) in Nepal was 4,648 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$) recorded in Nepal?
- The highest recorded value was 4,648 USD in 2024.
- What is the lowest ilo - modelled estimates; faostat - value added (2015 us$) recorded in Nepal?
- The lowest recorded value was 1,707 USD in 1993.
- How does Nepal rank for ilo - modelled estimates; faostat - value added (2015 us$)?
- Nepal ranks 100th out of 168 countries with data for 2024.
- Is ilo - modelled estimates; faostat - value added (2015 us$) rising or falling in Nepal?
- Over the last ten years it is up 34.1%. The long-run trend across the full record is rising.
- Where does this Nepal 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.