Value Added (Agriculture, Forestry and Fishing) — Value Standard in Denmark
Denmark: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 20,441 million SLC in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Denmark, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
Denmark recorded 20,441 million SLC for value added (agriculture, forestry and fishing) — value standard in 2024.
The figure is up 1.6% on the previous year and down 5.3% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Denmark peaked at 21,596 million SLC in 2014 and was at its lowest, 6,358 million SLC, in 1970.
Denmark ranks 96th of 191 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Denmark, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 6,358 million SLC | — |
| 1971 | 7,540 million SLC | +18.6% |
| 1972 | 7,786 million SLC | +3.3% |
| 1973 | 7,284 million SLC | -6.4% |
| 1974 | 8,486 million SLC | +16.5% |
| 1975 | 8,037 million SLC | -5.3% |
| 1976 | 7,101 million SLC | -11.7% |
| 1977 | 8,193 million SLC | +15.4% |
| 1978 | 8,471 million SLC | +3.4% |
| 1979 | 8,560 million SLC | +1.1% |
| 1980 | 8,611 million SLC | +0.6% |
| 1981 | 9,445 million SLC | +9.7% |
| 1982 | 10,268 million SLC | +8.7% |
| 1983 | 9,594 million SLC | -6.6% |
| 1984 | 11,633 million SLC | +21.3% |
| 1985 | 11,469 million SLC | -1.4% |
| 1986 | 11,377 million SLC | -0.8% |
| 1987 | 10,277 million SLC | -9.7% |
| 1988 | 10,407 million SLC | +1.3% |
| 1989 | 11,878 million SLC | +14.1% |
| 1990 | 12,522 million SLC | +5.4% |
| 1991 | 12,328 million SLC | -1.6% |
| 1992 | 12,637 million SLC | +2.5% |
| 1993 | 15,714 million SLC | +24.4% |
| 1994 | 16,266 million SLC | +3.5% |
| 1995 | 17,111 million SLC | +5.2% |
| 1996 | 17,537 million SLC | +2.5% |
| 1997 | 18,127 million SLC | +3.4% |
| 1998 | 18,425 million SLC | +1.6% |
| 1999 | 18,200 million SLC | -1.2% |
| 2000 | 19,668 million SLC | +8.1% |
| 2001 | 20,283 million SLC | +3.1% |
| 2002 | 19,307 million SLC | -4.8% |
| 2003 | 19,375 million SLC | +0.4% |
| 2004 | 19,832 million SLC | +2.4% |
| 2005 | 18,702 million SLC | -5.7% |
| 2006 | 19,465 million SLC | +4.1% |
| 2007 | 21,004 million SLC | +7.9% |
| 2008 | 15,632 million SLC | -25.6% |
| 2009 | 14,886 million SLC | -4.8% |
| 2010 | 19,711 million SLC | +32.4% |
| 2011 | 17,068 million SLC | -13.4% |
| 2012 | 19,149 million SLC | +12.2% |
| 2013 | 18,227 million SLC | -4.8% |
| 2014 | 21,596 million SLC | +18.5% |
| 2015 | 18,441 million SLC | -14.6% |
| 2016 | 15,667 million SLC | -15.0% |
| 2017 | 18,067 million SLC | +15.3% |
| 2018 | 17,992 million SLC | -0.4% |
| 2019 | 18,605 million SLC | +3.4% |
| 2020 | 19,071 million SLC | +2.5% |
| 2021 | 20,791 million SLC | +9.0% |
| 2022 | 21,464 million SLC | +3.2% |
| 2023 | 20,118 million SLC | -6.3% |
| 2024 | 20,441 million SLC | +1.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 7,782 million SLC | 6,358 million SLC | 8,560 million SLC | 10 |
| 1980s | 10,496 million SLC | 8,611 million SLC | 11,878 million SLC | 10 |
| 1990s | 15,887 million SLC | 12,328 million SLC | 18,425 million SLC | 10 |
| 2000s | 18,815 million SLC | 14,886 million SLC | 21,004 million SLC | 10 |
| 2010s | 18,452 million SLC | 15,667 million SLC | 21,596 million SLC | 10 |
| 2020s | 20,377 million SLC | 19,071 million SLC | 21,464 million SLC | 5 |
Countries ranked near Denmark
More environment data for Denmark
- Historical exposure to drought — Land soil moisture anomaly -2.66 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -2.67 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.696 °C (2025)
- Temperature change 2.29 °C (2025)
- Paper and paperboard — Import quantity, annual growth rate -14.53 % change on previous year (2024)
- Paper and paperboard — Import quantity, per unit of GDP 0 t per US$ of GDP (2024)
- Paper and paperboard — Import quantity, per capita 0.0991 t per person (2024)
- Paper and paperboard — Import value, annual growth rate -10.08 % change on previous year (2024)
- Paper and paperboard — Import value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Denmark?
- Value added (agriculture, forestry and fishing) — value standard in Denmark was 20,441 million SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — value standard recorded in Denmark?
- The highest recorded value was 21,596 million SLC in 2014.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Denmark?
- The lowest recorded value was 6,358 million SLC in 1970.
- How does Denmark rank for value added (agriculture, forestry and fishing) — value standard?
- Denmark ranks 96th out of 191 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Denmark?
- Over the last ten years it is down 5.3%. 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) — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
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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).