ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) in Montenegro
Montenegro: ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) was 28,201 USD in 2024. ▲ Rising
ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) in Montenegro, 2006–2024
Source: Food and Agriculture Organization of the United Nations. Measured in USD.
Analysis
The most recent figure for ilo - modelled estimates; faostat - value added (2015 us$) in Montenegro is 28,201 USD, measured in 2024.
The figure is up 2.2% on the previous year and up 8.6% over ten years.
Over the whole period, ilo - modelled estimates; faostat - value added (2015 us$) in Montenegro peaked at 34,067 USD in 2013 and was at its lowest, 14,940 USD, in 2007.
Montenegro ranks 37th of 168 countries on this measure, in the top quarter.
The long-run direction has been consistently rising across the 19 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 18,557 USD | 14,940 USD | 22,434 USD | 4 |
| 2010s | 23,500 USD | 18,568 USD | 34,067 USD | 10 |
| 2020s | 27,261 USD | 21,845 USD | 32,134 USD | 5 |
Countries ranked near Montenegro
More agriculture & rural data for Montenegro
- Agriculture, forestry, and fishing, value added (current US$), annual 7.54 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0337 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 498.87 current US$ per person (2025)
- Rural population, annual growth rate -0.256 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.3439 units per person (2025)
- Agriculture share gdp 3.37 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 3.37 (2025)
- Agricultural raw materials exports 6.4% (2024)
- Agricultural raw materials imports 0.5% (2024)
Frequently asked questions
- What is ilo - modelled estimates; faostat - value added (2015 us$) in Montenegro?
- Ilo - modelled estimates; faostat - value added (2015 us$) in Montenegro was 28,201 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$) recorded in Montenegro?
- The highest recorded value was 34,067 USD in 2013.
- What is the lowest ilo - modelled estimates; faostat - value added (2015 us$) recorded in Montenegro?
- The lowest recorded value was 14,940 USD in 2007.
- How does Montenegro rank for ilo - modelled estimates; faostat - value added (2015 us$)?
- Montenegro ranks 37th out of 168 countries with data for 2024.
- Is ilo - modelled estimates; faostat - value added (2015 us$) rising or falling in Montenegro?
- Over the last ten years it is up 8.6%. The long-run trend across the full record is rising.
- Where does this Montenegro 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$) — Agriculture value added per worker (constant 2015 US$) — Value. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 19 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.