Soft-Fibres, Other — Stock Variation in Southern Africa

Southern Africa: Soft-Fibres, Other — Stock Variation was 12 t in 2013. ▬ Flat

Latest (2013)
12 t
Change on year
up 209.1%
Rank
10th
of 24 groups
All-time high
12 t
in 2013
All-time low
-20 t
in 1999
Years of data
53
1961–2013

Soft-Fibres, Other — Stock Variation in Southern Africa, 1961–2013

-20-10010196119872013

Source: Food and Agriculture Organization of the United Nations. Measured in t.

Analysis

In 2013, soft-fibres, other — stock variation in Southern Africa stood at 12 t. That is the highest value across all 53 years on record.

Compared with earlier readings it is up 209.1% on the previous year and up 20.0% over five years.

Over the whole period, soft-fibres, other — stock variation in Southern Africa peaked at 12 t in 2013 and was at its lowest, -20 t, in 1999.

That places Southern Africa 10th out of 24 groups with data for 2013, putting it in the middle of the range.

Soft-Fibres, Other — Stock Variation in Southern Africa, year by year

Annual values for Soft-Fibres, Other — Stock Variation in Southern Africa, 1961 to 2013.
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 0 t
1971 0 t
1972 0 t
1973 0 t
1974 0 t
1975 0 t
1976 0 t
1977 0 t
1978 0 t
1979 0 t
1980 0 t
1981 0 t
1982 0 t
1983 0 t
1984 0 t
1985 0 t
1986 0 t
1987 0 t
1988 0 t
1989 -2 t
1990 -5 t +150.0%
1991 0 t -100.0%
1992 -3 t
1993 0 t -100.0%
1994 0 t
1995 8 t
1996 0 t -100.0%
1997 0 t
1998 2 t
1999 -20 t -1100.0%
2000 0 t -100.0%
2001 0 t
2002 0 t
2003 0 t
2004 0 t
2005 0 t
2006 0 t
2007 -15 t
2008 10 t -166.7%
2009 10 t +0.0%
2010 10 t +0.0%
2011 4 t -60.0%
2012 -11 t -375.0%
2013 12 t -209.1%

Averages by decade

DecadeAverage LowestHighest Years
1960s 0 t 0 t 0 t 9
1970s 0 t 0 t 0 t 10
1980s -0.2 t -2 t 0 t 10
1990s -1.8 t -20 t 8 t 10
2000s 0.5 t -15 t 10 t 10
2010s 3.75 t -11 t 12 t 4

Countries ranked near Southern Africa

  1. 7 Switzerland 30 t compare
  2. 8 Spain 20 t compare
  3. 9 South Africa 12 t compare
  4. 10 Romania 5 t compare
  5. 11 Ethiopia 4 t compare
  6. 11 Slovakia 4 t compare
  7. 13 Australia 0 t compare
  8. 13 Austria 0 t compare
  9. 13 Belarus 0 t compare
  10. 13 Botswana 0 t compare
  11. 13 Bulgaria 0 t compare
  12. 13 China, Hong Kong SAR 0 t compare
  13. 13 China, Macao SAR 0 t compare
  14. 13 China, Taiwan Province of 0 t compare
  15. 13 Costa Rica 0 t compare
  16. 13 Czechia 0 t compare
  17. 13 Denmark 0 t compare
  18. 13 Egypt 0 t compare
  19. 13 Estonia 0 t compare
  20. 13 Finland 0 t compare
  21. 13 Germany 0 t compare
  22. 13 Greece 0 t compare
  23. 13 Honduras 0 t compare
  24. 13 Hungary 0 t compare
  25. 13 Indonesia 0 t compare
  26. 13 Ireland 0 t compare
  27. 13 Italy 0 t compare
  28. 13 Japan 0 t compare
  29. 13 Jordan 0 t compare
  30. 13 Lithuania 0 t compare
  31. 13 Malaysia 0 t compare
  32. 13 Malta 0 t compare
  33. 13 Mexico 0 t compare
  34. 13 Nepal 0 t compare
  35. 13 Norway 0 t compare
  36. 13 Poland 0 t compare
  37. 13 Portugal 0 t compare
  38. 13 Republic of Korea 0 t compare
  39. 13 Russian Federation 0 t compare
  40. 13 Serbia 0 t compare
  41. 13 Slovenia 0 t compare
  42. 13 Sri Lanka 0 t compare
  43. 13 Sweden 0 t compare
  44. 13 Thailand 0 t compare
  45. 13 Tunisia 0 t compare
  46. 13 Ukraine 0 t compare
  47. 13 Australia and New Zealand 0 t compare

See the full ranking of 79 places →

More agriculture & rural data for Southern Africa

All data for Southern Africa →

Frequently asked questions

What is soft-fibres, other — stock variation in Southern Africa?
Soft-fibres, other — stock variation in Southern Africa was 12 t in 2013, according to Food and Agriculture Organization of the United Nations.
What is the highest soft-fibres, other — stock variation recorded in Southern Africa?
The highest recorded value was 12 t in 2013.
What is the lowest soft-fibres, other — stock variation recorded in Southern Africa?
The lowest recorded value was -20 t in 1999.
How does Southern Africa rank for soft-fibres, other — stock variation?
Southern Africa ranks 10th out of 24 groups with data for 2013.
Where does this Southern Africa data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Soft-Fibres, Other — 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).

Share, cite or embed this page

Cite this page

Soft-Fibres, Other — Stock Variation in Southern Africa. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 30 August 2026, from https://agriculture.statizoid.com/stat/soft-fibres-other-stock-variation/southern-africa/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY-NC-SA 3.0 IGO (FAO); please keep the attribution.

<a href="https://agriculture.statizoid.com/stat/soft-fibres-other-stock-variation/southern-africa/">Soft-Fibres, Other — Stock Variation in Southern Africa</a> — Statizoid

About this data

Indicator
Soft-Fibres, Other — Stock Variation
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
79 places, 3,775 data points, 1961–2013
Last refreshed

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.