Sisal — Stock Variation in Eastern Africa

Eastern Africa: Sisal — Stock Variation was 0 t in 2013. ▬ Flat

Latest (2013)
0 t
Rank
3rd
of 19 groups
All-time high
30,000 t
in 1979
All-time low
-31,000 t
in 1969
Years of data
53
1961–2013

Sisal — Stock Variation in Eastern Africa, 1961–2013

-40.0k-20.0k020.0k40.0k196119872013

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

Analysis

The most recent figure for sisal — stock variation in Eastern Africa is 0 t, measured in 2013.

That represents a change of up 100.0% over ten years.

Over the whole period, sisal — stock variation in Eastern Africa peaked at 30,000 t in 1979 and was at its lowest, -31,000 t, in 1969.

Sisal — Stock Variation in Eastern Africa, year by year

Annual values for Sisal — Stock Variation in Eastern Africa, 1961 to 2013.
Year t Change
1961 3,400 t —
1962 9,800 t +188.2%
1963 500 t -94.9%
1964 -15,200 t -3140.0%
1965 9,700 t -163.8%
1966 -16,200 t -267.0%
1967 2,000 t -112.3%
1968 6,000 t +200.0%
1969 -31,000 t -616.7%
1970 28,000 t -190.3%
1971 -1,000 t -103.6%
1972 1,000 t -200.0%
1973 -13,000 t -1400.0%
1974 -21,000 t +61.5%
1975 6,000 t -128.6%
1976 -2,000 t -133.3%
1977 -16,000 t +700.0%
1978 19,000 t -218.8%
1979 30,000 t +57.9%
1980 -12,000 t -140.0%
1981 -1,000 t -91.7%
1982 13,000 t -1400.0%
1983 0 t -100.0%
1984 0 t —
1985 0 t —
1986 0 t —
1987 0 t —
1988 0 t —
1989 0 t —
1990 0 t —
1991 0 t —
1992 0 t —
1993 0 t —
1994 0 t —
1995 0 t —
1996 0 t —
1997 -3,000 t —
1998 0 t -100.0%
1999 0 t —
2000 1,500 t —
2001 1,500 t +0.0%
2002 -5,000 t -433.3%
2003 -5,000 t -0.0%
2004 -7,000 t +40.0%
2005 17,000 t -342.9%
2006 0 t -100.0%
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 Sisal — Stock Variation in Eastern 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.

YearChange FromTo
1964 -3140.0% 500 t -15,200 t
1973 -1400.0% 1,000 t -13,000 t
1982 +1400.0% -1,000 t 13,000 t

Averages by decade

DecadeAverage LowestHighest Years
1960s -3,444 t -31,000 t 9,800 t 9
1970s 3,100 t -21,000 t 30,000 t 10
1980s 0 t -12,000 t 13,000 t 10
1990s -300 t -3,000 t 0 t 10
2000s 300 t -7,000 t 17,000 t 10
2010s 0 t 0 t 0 t 4

Countries ranked near Eastern Africa

  1. 1 Philippines 3,500 t compare
  2. 2 Angola 0 t compare
  3. 2 Belgium-Luxembourg 0 t compare
  4. 2 Central African Republic 0 t compare
  5. 2 Costa Rica 0 t compare
  6. 2 C�te d'Ivoire 0 t compare
  7. 2 Croatia 0 t compare
  8. 2 Czechia 0 t compare
  9. 2 Egypt 0 t compare
  10. 2 France 0 t compare
  11. 2 Haiti 0 t compare
  12. 2 Iceland 0 t compare
  13. 2 Indonesia 0 t compare
  14. 2 Ireland 0 t compare
  15. 2 Kenya 0 t compare
  16. 2 Madagascar 0 t compare
  17. 2 Mozambique 0 t compare
  18. 2 Netherlands (Kingdom of the) 0 t compare
  19. 2 Sweden 0 t compare
  20. 2 Switzerland 0 t compare
  21. 2 Tunisia 0 t compare
  22. 2 United Kingdom of Great Britain and Northern Ireland 0 t compare
  23. 2 United Republic of Tanzania 0 t compare
  24. 3 Caribbean 0 t compare

See the full ranking of 45 places →

More agriculture & rural data for Eastern Africa

All data for Eastern Africa →

Frequently asked questions

What is sisal — stock variation in Eastern Africa?
Sisal — stock variation in Eastern Africa was 0 t in 2013, according to Food and Agriculture Organization of the United Nations.
What is the highest sisal — stock variation recorded in Eastern Africa?
The highest recorded value was 30,000 t in 1979.
What is the lowest sisal — stock variation recorded in Eastern Africa?
The lowest recorded value was -31,000 t in 1969.
How does Eastern Africa rank for sisal — stock variation?
Eastern Africa ranks 3rd out of 19 groups with data for 2013.
Is sisal — stock variation rising or falling in Eastern Africa?
Over the last ten years it is up 100.0%. The long-run trend across the full record is flat.
Where does this Eastern Africa data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Sisal — 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

Sisal — Stock Variation in Eastern Africa. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 05 October 2026, from https://agriculture.statizoid.com/stat/sisal-stock-variation/eastern-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/sisal-stock-variation/eastern-africa/">Sisal — Stock Variation in Eastern Africa</a> — Statizoid

About this data

Indicator
Sisal — Stock Variation
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
45 places, 2,245 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.