Value Added (Agriculture, Forestry and Fishing) β Value US$ in Denmark
Denmark: Value Added (Agriculture, Forestry and Fishing) β Value US$ was 3,188 million USD in 2024. β² Rising
Value Added (Agriculture, Forestry and Fishing) β Value US$ in Denmark, 1970β2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
In 2024, value added (agriculture, forestry and fishing) β value us$ in Denmark stood at 3,188 million USD.
That represents a change of up 3.5% on the previous year and down 33.2% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) β value us$ in Denmark peaked at 5,286 million USD in 2012 and was at its lowest, 786.21 million USD, in 1970.
That places Denmark 110th out of 217 countries with data for 2024, putting it in the middle of the range.
The long-run direction has been consistently rising across the 55 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 1,781 million USD | 786.21 million USD | 2,842 million USD | 10 |
| 1980s | 3,101 million USD | 2,445 million USD | 3,936 million USD | 10 |
| 1990s | 4,293 million USD | 3,416 million USD | 5,233 million USD | 10 |
| 2000s | 3,355 million USD | 2,603 million USD | 4,024 million USD | 10 |
| 2010s | 4,024 million USD | 2,741 million USD | 5,286 million USD | 10 |
| 2020s | 3,648 million USD | 3,081 million USD | 4,757 million USD | 5 |
Countries ranked near Denmark
- 107 Rwanda 3,503 million USD compare
- 108 Costa Rica 3,397 million USD compare
- 109 Tajikistan 3,272 million USD compare
- 111 Ethiopia PDR 3,184 million USD compare
- 112 Lao People's Democratic Republic 3,178 million USD compare
- 113 Croatia 3,152 million USD compare
More environment data for Denmark
- Standard Deviation 0.696 Β°C (2025)
- Temperature change 2.29 Β°C (2025)
- Recovered paper β Production 509,000 t (2024)
- Total fibre furnish β Production 513,830 t (2024)
- Other paper and paperboard, not elsewhere specified β Import value 17,453 1000 USD (2024)
- Other paper and paperboard, not elsewhere specified β Import quantity 4,730 t (2024)
- Other paper and paperboard β Export value 248,479 1000 USD (2024)
- Other paper and paperboard β Export quantity 153,799 t (2024)
- Other paper and paperboard β Import value 442,797 1000 USD (2024)
- Other paper and paperboard β Import quantity 425,964 t (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) β value us$ in Denmark?
- Value added (agriculture, forestry and fishing) β value us$ in Denmark was 3,188 million USD in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) β value us$ recorded in Denmark?
- The highest recorded value was 5,286 million USD in 2012.
- What is the lowest value added (agriculture, forestry and fishing) β value us$ recorded in Denmark?
- The lowest recorded value was 786.21 million USD in 1970.
- How does Denmark rank for value added (agriculture, forestry and fishing) β value us$?
- Denmark ranks 110th out of 217 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) β value us$ rising or falling in Denmark?
- Over the last ten years it is down 33.2%. The long-run trend across the full record is rising.
- Where does this Denmark data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Value Added (Agriculture, Forestry and Fishing) β Value US$. Statizoid updates them automatically from the source API.
Download this data
CSV Β· JSON β 55 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
The FAOSTAT Macro Indicators database provides a selection of country-level macro indicators relating to total economy (Gross Domestic Product, Gross Fixed Capital Formation); agriculture activity; agriculture, forestry and fishing activity; total manufacturing activity; manufacturing of food products and beverages activity; manufacturing activity of tobacco products; and manufacturing activity of food, beverage and tobacco products.It releases time series for a selection of National Accounts variables, including gross domestic product, gross fixed capital formation, industry-level value added and gross output. The database also proposes additional indicators such as gross domestic product per capita, year-on-year growth rates and measures of industry contribution to gross domestic product. All data relating to Gross Domestic Product, Gross Fixed Capital Formation, agriculture, forestry and fishing activity, and to total manufacturing activity originates from the United Nations Statistics Division (UNSD) National Accounts Estimates of Main Aggregates database, which consists of a complete and consistent set of time series of the main National Accounts aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official National Accounts data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information (See http://unstats.un.org/unsd/snaama/Introduction.asp). Data series relating to the sub-industry Agriculture activity are obtained from the UNSD national accounts Official Country Data databases while series on the Manufacturing activity of food and beverages products, manufacturing activity of tobacco products and manufacturing activity of food, beverages and tobacco products originates from the United Nations Industrial Development Organization (UNIDO) INDSTAT2 database. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), UNIDO originating series are rescaled on UNSD National Accounts Estimates of Main Aggregates data series (See Section 17.5 for a more detailed description of the data processing steps).