Soyabean Cake — Stock Variation in Northern Africa
Northern Africa: Soyabean Cake — Stock Variation was 0 t in 2013. ▬ Flat
Soyabean Cake — Stock Variation in Northern Africa, 1961–2013
Source: Food and Agriculture Organization of the United Nations. Measured in t.
Analysis
In 2013, soyabean cake — stock variation in Northern Africa stood at 0 t.
Compared with earlier readings it is down 100.0% over ten years.
Over the whole period, soyabean cake — stock variation in Northern Africa peaked at 200,000 t in 2003 and was at its lowest, -100,000 t, in 2001.
That places Northern Africa 6th out of 23 groups with data for 2013, putting it in the top quarter.
Soyabean Cake — Stock Variation in Northern Africa, year by year
| Year | t | Change |
|---|---|---|
| 1961 | 0 t | — |
| 1962 | -3,300 t | — |
| 1963 | 0 t | -100.0% |
| 1964 | -2,200 t | — |
| 1965 | 2,000 t | -190.9% |
| 1966 | 0 t | -100.0% |
| 1967 | 500 t | — |
| 1968 | 0 t | -100.0% |
| 1969 | 0 t | — |
| 1970 | 0 t | — |
| 1971 | 0 t | — |
| 1972 | 0 t | — |
| 1973 | -2,000 t | — |
| 1974 | 0 t | -100.0% |
| 1975 | 2,000 t | — |
| 1976 | -1,000 t | -150.0% |
| 1977 | 0 t | -100.0% |
| 1978 | -30,000 t | — |
| 1979 | 0 t | -100.0% |
| 1980 | 30,000 t | — |
| 1981 | 0 t | -100.0% |
| 1982 | -7,000 t | — |
| 1983 | 7,000 t | -200.0% |
| 1984 | 0 t | -100.0% |
| 1985 | 0 t | — |
| 1986 | -37,500 t | — |
| 1987 | -11,000 t | -70.7% |
| 1988 | 10,000 t | -190.9% |
| 1989 | 5,000 t | -50.0% |
| 1990 | 20,000 t | +300.0% |
| 1991 | -15,000 t | -175.0% |
| 1992 | 15,000 t | -200.0% |
| 1993 | 0 t | -100.0% |
| 1994 | 0 t | — |
| 1995 | 17,500 t | — |
| 1996 | 0 t | -100.0% |
| 1997 | 0 t | — |
| 1998 | 0 t | — |
| 1999 | 0 t | — |
| 2000 | 0 t | — |
| 2001 | -100,000 t | — |
| 2002 | -100,000 t | -0.0% |
| 2003 | 200,000 t | -300.0% |
| 2004 | 0 t | -100.0% |
| 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 | — |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | -333.33 t | -3,300 t | 2,000 t | 9 |
| 1970s | -3,100 t | -30,000 t | 2,000 t | 10 |
| 1980s | -350 t | -37,500 t | 30,000 t | 10 |
| 1990s | 3,750 t | -15,000 t | 20,000 t | 10 |
| 2000s | 0 t | -100,000 t | 200,000 t | 10 |
| 2010s | 0 t | 0 t | 0 t | 4 |
Countries ranked near Northern Africa
- 3 Malawi 2,000 t compare
- 4 Argentina 0 t compare
- 4 Benin 0 t compare
- 4 Botswana 0 t compare
- 4 Brazil 0 t compare
- 4 China, mainland 0 t compare
- 4 Denmark 0 t compare
- 4 Egypt 0 t compare
- 4 Georgia 0 t compare
- 4 Germany 0 t compare
- 4 Hungary 0 t compare
- 4 India 0 t compare
- 4 Kenya 0 t compare
- 4 Kuwait 0 t compare
- 4 Kyrgyzstan 0 t compare
- 4 Lebanon 0 t compare
- 4 Madagascar 0 t compare
- 4 Morocco 0 t compare
- 4 Pakistan 0 t compare
- 4 Paraguay 0 t compare
- 4 Romania 0 t compare
- 4 Slovenia 0 t compare
- 4 South Africa 0 t compare
- 4 Thailand 0 t compare
- 4 Togo 0 t compare
- 4 Trinidad and Tobago 0 t compare
- 4 Uruguay 0 t compare
- 4 Uzbekistan 0 t compare
- 4 Zimbabwe 0 t compare
More agriculture & rural data for Northern Africa
- Meat of pig with the bone, fresh or chilled — Producing -1.97 % change on previous year (2024)
- Tomatoes — Production, annual growth rate 7.09 % change on previous year (2024)
- Tomatoes — Yield, annual growth rate 2.14 % change on previous year (2024)
- Tomatoes — Area harvested, annual growth rate 4.84 % change on previous year (2024)
- Swine / pigs — Stocks, annual growth rate 0.6785 % change on previous year (2024)
- Raw hides and skins of cattle — Producing Animals/Slaughtered 6.65 million An (2024)
- Oranges — Area harvested 308,761 ha (2024)
- Onions and shallots, dry (excluding dehydrated) — Production 8.19 million t (2024)
- Onions and shallots, dry (excluding dehydrated) — Yield 29,350 kg/ha (2024)
- Onions and shallots, dry (excluding dehydrated) — Area harvested 279,075 ha (2024)
Frequently asked questions
- What is soyabean cake — stock variation in Northern Africa?
- Soyabean cake — stock variation in Northern Africa was 0 t in 2013, according to Food and Agriculture Organization of the United Nations.
- What is the highest soyabean cake — stock variation recorded in Northern Africa?
- The highest recorded value was 200,000 t in 2003.
- What is the lowest soyabean cake — stock variation recorded in Northern Africa?
- The lowest recorded value was -100,000 t in 2001.
- How does Northern Africa rank for soyabean cake — stock variation?
- Northern Africa ranks 6th out of 23 groups with data for 2013.
- Is soyabean cake — stock variation rising or falling in Northern Africa?
- Over the last ten years it is down 100.0%. The long-run trend across the full record is flat.
- Where does this Northern Africa data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Soyabean Cake — Stock Variation. Statizoid updates them automatically from the source API.
Download this data
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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.