ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) in Hungary
Hungary: ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) was 21,288 USD in 2024. β² Rising
ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) in Hungary, 1991β2024
Source: Food and Agriculture Organization of the United Nations. Measured in USD.
Analysis
In 2024, ilo - modelled estimates; faostat - value added (2015 us$) in Hungary stood at 21,288 USD.
That represents a change of down 6.0% on the previous year and down 10.6% over ten years.
Over the whole period, ilo - modelled estimates; faostat - value added (2015 us$) in Hungary peaked at 33,076 USD in 2008 and was at its lowest, 9,790 USD, in 1992.
Hungary ranks 43rd of 168 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 34 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 12,535 USD | 9,790 USD | 15,404 USD | 9 |
| 2000s | 21,992 USD | 14,494 USD | 33,076 USD | 10 |
| 2010s | 22,094 USD | 17,840 USD | 23,816 USD | 10 |
| 2020s | 21,120 USD | 16,990 USD | 23,288 USD | 5 |
Countries ranked near Hungary
More agriculture & rural data for Hungary
- Agriculture, forestry, and fishing, value added (current US$), annual 8.23 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0265 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 687.58 current US$ per person (2025)
- Rural population, annual growth rate -1.18 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.2931 units per person (2025)
- Agriculture share gdp 2.65 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 2.65 (2025)
- Agricultural raw materials exports 0.5% (2025)
- Agricultural raw materials imports 0.8% (2025)
Frequently asked questions
- What is ilo - modelled estimates; faostat - value added (2015 us$) in Hungary?
- Ilo - modelled estimates; faostat - value added (2015 us$) in Hungary was 21,288 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$) recorded in Hungary?
- The highest recorded value was 33,076 USD in 2008.
- What is the lowest ilo - modelled estimates; faostat - value added (2015 us$) recorded in Hungary?
- The lowest recorded value was 9,790 USD in 1992.
- How does Hungary rank for ilo - modelled estimates; faostat - value added (2015 us$)?
- Hungary ranks 43rd out of 168 countries with data for 2024.
- Is ilo - modelled estimates; faostat - value added (2015 us$) rising or falling in Hungary?
- Over the last ten years it is down 10.6%. The long-run trend across the full record is rising.
- Where does this Hungary 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.