Brans — Stock Variation in Southern Africa
Southern Africa: Brans — Stock Variation was 0 t in 2013. ◆ Volatile
Brans — Stock Variation in Southern Africa, 1961–2013
Source: Food and Agriculture Organization of the United Nations. Measured in t.
Analysis
Southern Africa recorded 0 t for brans — stock variation in 2013.
That represents a change of down 100.0% on the previous year and up 100.0% over ten years.
Over the whole period, brans — stock variation in Southern Africa peaked at 60,000 t in 1968 and was at its lowest, -65,000 t, in 1961.
That places Southern Africa 18th out of 28 groups 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.
Brans — Stock Variation in Southern Africa, year by year
| Year | t | Change |
|---|---|---|
| 1961 | -65,000 t | — |
| 1962 | -65,000 t | -0.0% |
| 1963 | -50,000 t | -23.1% |
| 1964 | 44,000 t | -188.0% |
| 1965 | -4,000 t | -109.1% |
| 1966 | -30,000 t | +650.0% |
| 1967 | 6,000 t | -120.0% |
| 1968 | 60,000 t | +900.0% |
| 1969 | 40,000 t | -33.3% |
| 1970 | -10,000 t | -125.0% |
| 1971 | 54,000 t | -640.0% |
| 1972 | 20,000 t | -63.0% |
| 1973 | 0 t | -100.0% |
| 1974 | 0 t | — |
| 1975 | 0 t | — |
| 1976 | -130 t | — |
| 1977 | -240 t | +84.6% |
| 1978 | -240 t | -0.0% |
| 1979 | -240 t | -0.0% |
| 1980 | -240 t | -0.0% |
| 1981 | -240 t | -0.0% |
| 1982 | -240 t | -0.0% |
| 1983 | -240 t | -0.0% |
| 1984 | -280 t | +16.7% |
| 1985 | -1,240 t | +342.9% |
| 1986 | -3,240 t | +161.3% |
| 1987 | -2,240 t | -30.9% |
| 1988 | -6,240 t | +178.6% |
| 1989 | -3,850 t | -38.3% |
| 1990 | -2,750 t | -28.6% |
| 1991 | -550 t | -80.0% |
| 1992 | -8,350 t | +1418.2% |
| 1993 | 450 t | -105.4% |
| 1994 | -2,250 t | -600.0% |
| 1995 | -2,150 t | -4.4% |
| 1996 | 1,250 t | -158.1% |
| 1997 | 1,550 t | +24.0% |
| 1998 | 11,780 t | +660.0% |
| 1999 | 8,730 t | -25.9% |
| 2000 | 7,400 t | -15.2% |
| 2001 | -10 t | -100.1% |
| 2002 | -420 t | +4100.0% |
| 2003 | -5,680 t | +1252.4% |
| 2004 | -2,930 t | -48.4% |
| 2005 | -1,920 t | -34.5% |
| 2006 | -1,960 t | +2.1% |
| 2007 | 2,710 t | -238.3% |
| 2008 | 10,500 t | +287.5% |
| 2009 | 1,500 t | -85.7% |
| 2010 | -100 t | -106.7% |
| 2011 | 90 t | -190.0% |
| 2012 | 10 t | -88.9% |
| 2013 | 0 t | -100.0% |
Biggest year-on-year movements
Years where Brans — Stock Variation in Southern Africa 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 |
|---|---|---|---|
| 2002 | -4100.0% | -10 t | -420 t |
| 1992 | -1418.2% | -550 t | -8,350 t |
| 2003 | -1252.4% | -420 t | -5,680 t |
| 1968 | +900.0% | 6,000 t | 60,000 t |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | -7,111 t | -65,000 t | 60,000 t | 9 |
| 1970s | 6,315 t | -10,000 t | 54,000 t | 10 |
| 1980s | -1,805 t | -6,240 t | -240 t | 10 |
| 1990s | 771 t | -8,350 t | 11,780 t | 10 |
| 2000s | 919 t | -5,680 t | 10,500 t | 10 |
| 2010s | 0 t | -100 t | 90 t | 4 |
Countries ranked near Southern Africa
- 15 North Macedonia 300 t compare
- 16 New Zealand 200 t compare
- 16 Australia and New Zealand 200 t compare
- 18 Austria 15 t compare
- 18 New Caledonia 15 t compare
- 18 Caribbean 0 t compare
- 20 El Salvador 12 t compare
- 21 Argentina 0 t compare
- 21 Australia 0 t compare
- 21 Bahamas 0 t compare
- 21 Belgium-Luxembourg 0 t compare
- 21 Botswana 0 t compare
- 21 Brazil 0 t compare
- 21 Bulgaria 0 t compare
- 21 Cambodia 0 t compare
- 21 Cameroon 0 t compare
- 21 Canada 0 t compare
- 21 China, Hong Kong SAR 0 t compare
- 21 China, Macao SAR 0 t compare
- 21 China, mainland 0 t compare
- 21 Colombia 0 t compare
- 21 Congo 0 t compare
- 21 C�te d'Ivoire 0 t compare
- 21 Estonia 0 t compare
- 21 Eswatini 0 t compare
- 21 Gabon 0 t compare
- 21 Ghana 0 t compare
- 21 Guatemala 0 t compare
- 21 Guyana 0 t compare
- 21 Haiti 0 t compare
- 21 Honduras 0 t compare
- 21 Indonesia 0 t compare
- 21 Ireland 0 t compare
- 21 Israel 0 t compare
- 21 Italy 0 t compare
- 21 Kazakhstan 0 t compare
- 21 Kuwait 0 t compare
- 21 Latvia 0 t compare
- 21 Lebanon 0 t compare
- 21 Liberia 0 t compare
- 21 Lithuania 0 t compare
- 21 Malawi 0 t compare
- 21 Malaysia 0 t compare
- 21 Mauritius 0 t compare
- 21 Mongolia 0 t compare
- 21 Namibia 0 t compare
- 21 Nepal 0 t compare
- 21 Nicaragua 0 t compare
- 21 Norway 0 t compare
- 21 Oman 0 t compare
- 21 Portugal 0 t compare
- 21 Romania 0 t compare
- 21 Russian Federation 0 t compare
- 21 Saudi Arabia 0 t compare
- 21 Serbia 0 t compare
- 21 Slovenia 0 t compare
- 21 South Africa 0 t compare
- 21 Sri Lanka 0 t compare
- 21 Sudan (former) 0 t compare
- 21 Thailand 0 t compare
- 21 Togo 0 t compare
- 21 Tunisia 0 t compare
- 21 Uganda 0 t compare
- 21 Ukraine 0 t compare
- 21 United Kingdom of Great Britain and Northern Ireland 0 t compare
- 21 Zimbabwe 0 t compare
More agriculture & rural data for Southern Africa
- Other fruits, n.e.c. — Yield, annual growth rate 0.7153 % change on previous year (2024)
- Onions and shallots, dry (excluding dehydrated) — Yield, annual 0.7056 % change on previous year (2024)
- Onions and shallots, dry (excluding dehydrated) — Production, annual 7.67 % change on previous year (2024)
- Fruit Primary — Gross Production Value (constant 2014-2016 thousand) -0.533 % change on previous year (2024)
- Food — Gross Production Value (constant 2014-2016 thousand I$) -3.13 % change on previous year (2024)
- Other fruits, n.e.c. — Area harvested, annual growth rate 0.7665 % change on previous year (2024)
- Other vegetables, fresh n.e.c. — Area harvested, annual growth rate 4.78 % change on previous year (2024)
- Other vegetables, fresh n.e.c. — Production, annual growth rate 3.9 % change on previous year (2024)
- Other vegetables, fresh n.e.c. — Yield, annual growth rate -0.844 % change on previous year (2024)
- Onions and shallots, dry (excluding dehydrated) — Area harvested 6.91 % change on previous year (2024)
Frequently asked questions
- What is brans — stock variation in Southern Africa?
- Brans — stock variation in Southern Africa was 0 t in 2013, according to Food and Agriculture Organization of the United Nations.
- What is the highest brans — stock variation recorded in Southern Africa?
- The highest recorded value was 60,000 t in 1968.
- What is the lowest brans — stock variation recorded in Southern Africa?
- The lowest recorded value was -65,000 t in 1961.
- How does Southern Africa rank for brans — stock variation?
- Southern Africa ranks 18th out of 28 groups with data for 2013.
- Is brans — stock variation rising or falling in Southern Africa?
- Over the last ten years it is up 100.0%. The long-run trend across the full record is volatile.
- Where does this Southern Africa data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Brans — 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.