Soft-Fibres, Other — Export Quantity in Argentina
Argentina: Soft-Fibres, Other — Export Quantity was 0 t in 2013. ◆ Volatile
Soft-Fibres, Other — Export Quantity in Argentina, 1961–2013
Source: Food and Agriculture Organization of the United Nations. Measured in t.
Analysis
Argentina recorded 0 t for soft-fibres, other — export quantity in 2013. That is the lowest value across all 53 years on record.
Over the whole period, soft-fibres, other — export quantity in Argentina peaked at 216 t in 1980 and was at its lowest, 0 t, in 1961.
That places Argentina 57th out of 92 countries with data for 2013, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Soft-Fibres, Other — Export Quantity in Argentina, year by year
| Year | t | Change |
|---|---|---|
| 1961 | 0 t | — |
| 1962 | 0 t | — |
| 1963 | 61 t | — |
| 1964 | 15 t | -75.4% |
| 1965 | 0 t | -100.0% |
| 1966 | 1 t | — |
| 1967 | 0 t | -100.0% |
| 1968 | 3 t | — |
| 1969 | 15 t | +400.0% |
| 1970 | 27 t | +80.0% |
| 1971 | 0 t | -100.0% |
| 1972 | 0 t | — |
| 1973 | 0 t | — |
| 1974 | 0 t | — |
| 1975 | 0 t | — |
| 1976 | 10 t | — |
| 1977 | 161 t | +1510.0% |
| 1978 | 185 t | +14.9% |
| 1979 | 6 t | -96.8% |
| 1980 | 216 t | +3500.0% |
| 1981 | 0 t | -100.0% |
| 1982 | 0 t | — |
| 1983 | 0 t | — |
| 1984 | 0 t | — |
| 1985 | 0 t | — |
| 1986 | 0 t | — |
| 1987 | 0 t | — |
| 1988 | 0 t | — |
| 1989 | 0 t | — |
| 1990 | 9 t | — |
| 1991 | 0 t | -100.0% |
| 1992 | 20 t | — |
| 1993 | 2 t | -90.0% |
| 1994 | 0 t | -100.0% |
| 1995 | 0 t | — |
| 1996 | 0 t | — |
| 1997 | 36 t | — |
| 1998 | 0 t | -100.0% |
| 1999 | 0 t | — |
| 2000 | 76 t | — |
| 2001 | 0 t | -100.0% |
| 2002 | 0 t | — |
| 2003 | 0 t | — |
| 2004 | 0 t | — |
| 2005 | 0 t | — |
| 2006 | 0 t | — |
| 2007 | 0 t | — |
| 2008 | 0 t | — |
| 2009 | 0 t | — |
| 2010 | 0 t | — |
| 2011 | 0 t | — |
| 2012 | 0 t | — |
| 2013 | 0 t | — |
Biggest year-on-year movements
Years where Soft-Fibres, Other — Export Quantity in Argentina 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 |
|---|---|---|---|
| 1980 | +3500.0% | 6 t | 216 t |
| 1977 | +1510.0% | 10 t | 161 t |
| 1969 | +400.0% | 3 t | 15 t |
| 1970 | +80.0% | 15 t | 27 t |
| 1964 | -75.4% | 61 t | 15 t |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 10.56 t | 0 t | 61 t | 9 |
| 1970s | 38.9 t | 0 t | 185 t | 10 |
| 1980s | 21.6 t | 0 t | 216 t | 10 |
| 1990s | 6.7 t | 0 t | 36 t | 10 |
| 2000s | 7.6 t | 0 t | 76 t | 10 |
| 2010s | 0 t | 0 t | 0 t | 4 |
Countries ranked near Argentina
- 55 Peru 1 t compare
- 55 Thailand 1 t compare
- 57 Botswana 0 t compare
- 57 Cambodia 0 t compare
- 57 Chile 0 t compare
- 57 China, Hong Kong SAR 0 t compare
- 57 China, Macao SAR 0 t compare
- 57 Colombia 0 t compare
- 57 Cyprus 0 t compare
- 57 Ecuador 0 t compare
- 57 El Salvador 0 t compare
- 57 Estonia 0 t compare
- 57 Finland 0 t compare
- 57 Georgia 0 t compare
- 57 Honduras 0 t compare
- 57 Indonesia 0 t compare
- 57 Ireland 0 t compare
- 57 Israel 0 t compare
- 57 Jamaica 0 t compare
- 57 Kazakhstan 0 t compare
- 57 Kenya 0 t compare
- 57 Lebanon 0 t compare
- 57 Luxembourg 0 t compare
- 57 Madagascar 0 t compare
- 57 Malaysia 0 t compare
- 57 Malta 0 t compare
- 57 Mexico 0 t compare
- 57 Myanmar 0 t compare
- 57 Namibia 0 t compare
- 57 New Zealand 0 t compare
- 57 Nigeria 0 t compare
- 57 Saudi Arabia 0 t compare
- 57 Serbia and Montenegro 0 t compare
- 57 Sri Lanka 0 t compare
- 57 Togo 0 t compare
- 57 Uganda 0 t compare
- 57 Zambia 0 t compare
More agriculture & rural data for Argentina
- Agriculture, forestry, and fishing, value added (current US$), annual 1.97 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0553 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 824.26 current US$ per person (2025)
- Rural population, annual growth rate -0.6693 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.0765 units per person (2025)
- Share of GDP from agriculture 5.5% (2025)
- Agriculture as a share of GDP vs. GDP per capita 5.5% (2025)
- Agricultural raw materials exports 0.6% (2024)
- Agricultural raw materials imports 0.8% (2024)
Frequently asked questions
- What is soft-fibres, other — export quantity in Argentina?
- Soft-fibres, other — export quantity in Argentina was 0 t in 2013, according to Food and Agriculture Organization of the United Nations.
- What is the highest soft-fibres, other — export quantity recorded in Argentina?
- The highest recorded value was 216 t in 1980.
- What is the lowest soft-fibres, other — export quantity recorded in Argentina?
- The lowest recorded value was 0 t in 1961.
- How does Argentina rank for soft-fibres, other — export quantity?
- Argentina ranks 57th out of 92 countries with data for 2013.
- Where does this Argentina data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Soft-Fibres, Other — Export Quantity. 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.