ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) in Austria
Austria: ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) was 39,574 USD in 2024. β² Rising
ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) in Austria, 1991β2024
Source: Food and Agriculture Organization of the United Nations. Measured in USD.
Analysis
Austria recorded 39,574 USD for ilo - modelled estimates; faostat - value added (2015 us$) in 2024. That is the highest value across all 34 years on record.
The figure is up 13.5% on the previous year and up 75.6% over ten years.
Over the whole period, ilo - modelled estimates; faostat - value added (2015 us$) in Austria peaked at 39,574 USD in 2024 and was at its lowest, 13,683 USD, in 1992.
That places Austria 29th out of 168 countries with data for 2024, putting it in the top quarter.
The long-run direction has been consistently rising across the 34 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 15,495 USD | 13,683 USD | 19,688 USD | 9 |
| 2000s | 20,280 USD | 19,135 USD | 22,481 USD | 10 |
| 2010s | 24,201 USD | 18,984 USD | 28,719 USD | 10 |
| 2020s | 32,286 USD | 26,297 USD | 39,574 USD | 5 |
Countries ranked near Austria
- 26 Ireland 42,408 USD compare
- 27 Italy 41,213 USD compare
- 28 Guyana 40,441 USD compare
- 30 Switzerland 39,236 USD compare
- 31 United Arab Emirates 39,003 USD compare
- 32 Slovak Republic 35,505 USD compare
More agriculture & rural data for Austria
- Agriculture share gdp 1.26 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 1.26 (2025)
- Agricultural raw materials exports 1.4% (2024)
- Agricultural raw materials imports 1.7% (2024)
- Rural population 30.3% (2025)
- Rural population growth -0.5% (2025)
- Rural population 2.79 million (2025)
- Agriculture, forestry, and fishing, value added 1.3% (2025)
- Agriculture, forestry, and fishing, value added 7.28 billion current US$ (2025)
- Bananas β Production 0 t (2024)
Frequently asked questions
- What is ilo - modelled estimates; faostat - value added (2015 us$) in Austria?
- Ilo - modelled estimates; faostat - value added (2015 us$) in Austria was 39,574 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$) recorded in Austria?
- The highest recorded value was 39,574 USD in 2024.
- What is the lowest ilo - modelled estimates; faostat - value added (2015 us$) recorded in Austria?
- The lowest recorded value was 13,683 USD in 1992.
- How does Austria rank for ilo - modelled estimates; faostat - value added (2015 us$)?
- Austria ranks 29th out of 168 countries with data for 2024.
- Is ilo - modelled estimates; faostat - value added (2015 us$) rising or falling in Austria?
- Over the last ten years it is up 75.6%. The long-run trend across the full record is rising.
- Where does this Austria 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.