ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) in Czechia
Czechia: ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) was 28,484 USD in 2024. β² Rising
ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) in Czechia, 1993β2024
Source: Food and Agriculture Organization of the United Nations. Measured in USD.
Analysis
In 2024, ilo - modelled estimates; faostat - value added (2015 us$) in Czechia stood at 28,484 USD.
Compared with earlier readings it is up 2.9% on the previous year and down 0.7% over ten years.
Over the whole period, ilo - modelled estimates; faostat - value added (2015 us$) in Czechia peaked at 37,202 USD in 2020 and was at its lowest, 12,106 USD, in 1993.
That places Czechia 36th out of 168 countries with data for 2024, putting it in the top quarter.
The long-run direction has been consistently rising across the 32 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 14,622 USD | 12,106 USD | 17,220 USD | 7 |
| 2000s | 23,018 USD | 18,470 USD | 30,088 USD | 10 |
| 2010s | 27,903 USD | 23,532 USD | 33,493 USD | 10 |
| 2020s | 31,495 USD | 27,675 USD | 37,202 USD | 5 |
Countries ranked near Czechia
More agriculture & rural data for Czechia
- Agriculture, forestry, and fishing, value added (current US$), annual 15.68 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0195 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 700.32 current US$ per person (2025)
- Rural population, annual growth rate -0.4625 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.2712 units per person (2025)
- Agriculture share gdp 1.95 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 1.95 (2025)
- Agricultural raw materials exports 0.9% (2024)
- Agricultural raw materials imports 1.0% (2024)
Frequently asked questions
- What is ilo - modelled estimates; faostat - value added (2015 us$) in Czechia?
- Ilo - modelled estimates; faostat - value added (2015 us$) in Czechia was 28,484 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$) recorded in Czechia?
- The highest recorded value was 37,202 USD in 2020.
- What is the lowest ilo - modelled estimates; faostat - value added (2015 us$) recorded in Czechia?
- The lowest recorded value was 12,106 USD in 1993.
- How does Czechia rank for ilo - modelled estimates; faostat - value added (2015 us$)?
- Czechia ranks 36th out of 168 countries with data for 2024.
- Is ilo - modelled estimates; faostat - value added (2015 us$) rising or falling in Czechia?
- Over the last ten years it is down 0.7%. The long-run trend across the full record is rising.
- Where does this Czechia 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 32 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.