Jute — Stock Variation in Denmark
Denmark: Jute — Stock Variation was 0 t in 2013. ▬ Flat
Jute — Stock Variation in Denmark, 1961–2013
Source: Food and Agriculture Organization of the United Nations. Measured in t.
Analysis
The most recent figure for jute — stock variation in Denmark is 0 t, measured in 2013.
Over the whole period, jute — stock variation in Denmark peaked at 200 t in 1976 and was at its lowest, -780 t, in 1970.
Denmark ranks 3rd of 44 countries on this measure, in the top 10%.
Jute — Stock Variation in Denmark, year by year
| Year | t | Change |
|---|---|---|
| 1961 | 0 t | — |
| 1962 | 0 t | — |
| 1963 | 0 t | — |
| 1964 | 0 t | — |
| 1965 | 0 t | — |
| 1966 | 0 t | — |
| 1967 | 0 t | — |
| 1968 | 0 t | — |
| 1969 | 0 t | — |
| 1970 | -780 t | — |
| 1971 | 0 t | -100.0% |
| 1972 | 50 t | — |
| 1973 | 60 t | +20.0% |
| 1974 | 150 t | +150.0% |
| 1975 | 20 t | -86.7% |
| 1976 | 200 t | +900.0% |
| 1977 | 30 t | -85.0% |
| 1978 | 100 t | +233.3% |
| 1979 | 0 t | -100.0% |
| 1980 | 10 t | — |
| 1981 | 0 t | -100.0% |
| 1982 | 0 t | — |
| 1983 | 30 t | — |
| 1984 | 30 t | +0.0% |
| 1985 | 50 t | +66.7% |
| 1986 | 40 t | -20.0% |
| 1987 | 0 t | -100.0% |
| 1988 | 0 t | — |
| 1989 | 0 t | — |
| 1990 | 0 t | — |
| 1991 | 0 t | — |
| 1992 | 0 t | — |
| 1993 | 10 t | — |
| 1994 | 0 t | -100.0% |
| 1995 | 0 t | — |
| 1996 | 0 t | — |
| 1997 | 0 t | — |
| 1998 | 0 t | — |
| 1999 | 0 t | — |
| 2000 | 0 t | — |
| 2001 | 0 t | — |
| 2002 | 0 t | — |
| 2003 | 0 t | — |
| 2004 | -15 t | — |
| 2005 | 0 t | -100.0% |
| 2006 | -15 t | — |
| 2007 | 30 t | -300.0% |
| 2008 | 0 t | -100.0% |
| 2009 | 0 t | — |
| 2010 | 0 t | — |
| 2011 | 0 t | — |
| 2012 | 0 t | — |
| 2013 | 0 t | — |
Biggest year-on-year movements
Years where Jute — Stock Variation in Denmark changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 1976 | +900.0% | 20 t | 200 t |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 0 t | 0 t | 0 t | 9 |
| 1970s | -17 t | -780 t | 200 t | 10 |
| 1980s | 16 t | 0 t | 50 t | 10 |
| 1990s | 1 t | 0 t | 10 t | 10 |
| 2000s | 0 t | -15 t | 30 t | 10 |
| 2010s | 0 t | 0 t | 0 t | 4 |
Countries ranked near Denmark
- 1 Ghana 150 t compare
- 1 Iran (Islamic Republic of) 0 t compare
- 1 United Republic of Tanzania 0 t compare
- 2 Netherlands (Kingdom of the) 20 t compare
- 3 Belarus 0 t compare
- 3 Belgium-Luxembourg 0 t compare
- 3 Bulgaria 0 t compare
- 3 Cambodia 0 t compare
- 3 Canada 0 t compare
- 3 China, Taiwan Province of 0 t compare
- 3 Eswatini 0 t compare
- 3 Finland 0 t compare
- 3 France 0 t compare
- 3 Gambia 0 t compare
- 3 Honduras 0 t compare
- 3 Indonesia 0 t compare
- 3 Ireland 0 t compare
- 3 Italy 0 t compare
- 3 Jamaica 0 t compare
- 3 Kazakhstan 0 t compare
- 3 Kenya 0 t compare
- 3 Kyrgyzstan 0 t compare
- 3 Lebanon 0 t compare
- 3 Lithuania 0 t compare
- 3 Malawi 0 t compare
- 3 Mexico 0 t compare
- 3 Morocco 0 t compare
- 3 Nepal 0 t compare
- 3 New Zealand 0 t compare
- 3 Nicaragua 0 t compare
- 3 Norway 0 t compare
- 3 Panama 0 t compare
- 3 Philippines 0 t compare
- 3 Portugal 0 t compare
- 3 Russian Federation 0 t compare
- 3 South Africa 0 t compare
- 3 Spain 0 t compare
- 3 Sweden 0 t compare
- 3 T�rkiye 0 t compare
- 3 Uganda 0 t compare
- 3 Ukraine 0 t compare
- 3 United Arab Emirates 0 t compare
- 3 Zambia 0 t compare
- 3 Australia and New Zealand 0 t compare
- 6 Caribbean 0 t compare
More agriculture & rural data for Denmark
- Agriculture, forestry, and fishing, value added (current US$), annual 37.33 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0117 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 900.07 current US$ per person (2025)
- Rural population, annual growth rate -0.7939 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.1115 units per person (2025)
- Share of GDP from agriculture 1.2% (2025)
- Agriculture as a share of GDP vs. GDP per capita 1.2% (2025)
- Agricultural raw materials exports 1.4% (2025)
- Agricultural raw materials imports 1.9% (2025)
Frequently asked questions
- What is jute — stock variation in Denmark?
- Jute — stock variation in Denmark was 0 t in 2013, according to Food and Agriculture Organization of the United Nations.
- What is the highest jute — stock variation recorded in Denmark?
- The highest recorded value was 200 t in 1976.
- What is the lowest jute — stock variation recorded in Denmark?
- The lowest recorded value was -780 t in 1970.
- How does Denmark rank for jute — stock variation?
- Denmark ranks 3rd out of 44 countries with data for 2013.
- Where does this Denmark data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Jute — Stock Variation. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 53 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
Food Balance Sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply and its utilization. The total quantity of foodstuffs produced in a country added to the total quantity imported and adjusted to any change in stocks that may have occurred since the beginning of the reference period gives the supply available during that period. On the utilization side a distinction is made between the quantities exported, fed to livestock, used for seed, put to manufacture for food use and non-food uses, losses during storage and transportation, and food supplies available for human consumption. The per caput supply of each such food item available for human consumption is then obtained by dividing the respective quantity by the related data on the population actually partaking of it. Data on per caput food supplies are expressed in terms of quantity and - by applying appropriate food composition factors for all primary and processed products - also in terms of caloric value and protein and fat content.