Alcohol, Non-Food — Stock Variation in Africa

Africa: Alcohol, Non-Food — Stock Variation was 3,435 t in 2013. ◆ Volatile

Latest (2013)
3,435 t
Change on year
down 66.1%
Rank
14th
of 26 groups
All-time high
130,910 t
in 2004
All-time low
-81,240 t
in 2002
Years of data
53
1961–2013

Alcohol, Non-Food — Stock Variation in Africa, 1961–2013

-100.0k-50.0k050.0k100.0k150.0k196119872013

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

Analysis

Africa recorded 3,435 t for alcohol, non-food — stock variation in 2013.

The figure is down 66.1% on the previous year and up 98.6% over ten years.

Over the whole period, alcohol, non-food — stock variation in Africa peaked at 130,910 t in 2004 and was at its lowest, -81,240 t, in 2002.

Africa ranks 14th of 26 groups on this measure, in the middle of the range.

The series is highly variable year to year, so single readings are best treated with caution.

Alcohol, Non-Food — Stock Variation in Africa, year by year

Annual values for Alcohol, Non-Food — Stock Variation in 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 -100 t
1974 -100 t -0.0%
1975 -100 t -0.0%
1976 -200 t +100.0%
1977 -100 t -50.0%
1978 -200 t +100.0%
1979 -300 t +50.0%
1980 -300 t -0.0%
1981 -400 t +33.3%
1982 -490 t +22.5%
1983 -820 t +67.3%
1984 -900 t +9.8%
1985 -5,715 t +535.0%
1986 -5,000 t -12.5%
1987 -4,700 t -6.0%
1988 -2,700 t -42.6%
1989 -1,675 t -38.0%
1990 -4,200 t +150.7%
1991 -7,000 t +66.7%
1992 3,600 t -151.4%
1993 -2,800 t -177.8%
1994 -22,800 t +714.3%
1995 -22,500 t -1.3%
1996 -15,600 t -30.7%
1997 31,790 t -303.8%
1998 45,850 t +44.2%
1999 -24,230 t -152.8%
2000 -3,580 t -85.2%
2001 -41,580 t +1061.5%
2002 -81,240 t +95.4%
2003 1,730 t -102.1%
2004 130,910 t +7467.1%
2005 -3,600 t -102.7%
2006 10,290 t -385.8%
2007 -3,260 t -131.7%
2008 -4,900 t +50.3%
2009 9,465 t -293.2%
2010 -500 t -105.3%
2011 9,400 t -1980.0%
2012 10,120 t +7.7%
2013 3,435 t -66.1%

Averages by decade

DecadeAverage LowestHighest Years
1960s 0 t 0 t 0 t 9
1970s -110 t -300 t 0 t 10
1980s -2,270 t -5,715 t -300 t 10
1990s -1,789 t -24,230 t 45,850 t 10
2000s 1,424 t -81,240 t 130,910 t 10
2010s 5,614 t -500 t 10,120 t 4

Countries ranked near Africa

  1. 11 Argentina 0 t compare
  2. 11 Azerbaijan 0 t compare
  3. 11 Belarus 0 t compare
  4. 11 Benin 0 t compare
  5. 11 Bosnia and Herzegovina 0 t compare
  6. 11 Bulgaria 0 t compare
  7. 11 Cyprus 0 t compare
  8. 11 Czechia 0 t compare
  9. 11 Djibouti 0 t compare
  10. 11 Egypt 0 t compare
  11. 11 Estonia 0 t compare
  12. 11 Eswatini 0 t compare
  13. 11 France 0 t compare
  14. 11 Honduras 0 t compare
  15. 11 Italy 0 t compare
  16. 11 Kenya 0 t compare
  17. 11 Lebanon 0 t compare
  18. 11 Lithuania 0 t compare
  19. 11 Mauritius 0 t compare
  20. 11 Netherlands (Kingdom of the) 0 t compare
  21. 11 New Zealand 0 t compare
  22. 11 Norway 0 t compare
  23. 11 Paraguay 0 t compare
  24. 11 Portugal 0 t compare
  25. 11 Romania 0 t compare
  26. 11 Saint Lucia 0 t compare
  27. 11 Slovakia 0 t compare
  28. 11 Suriname 0 t compare
  29. 11 Thailand 0 t compare
  30. 11 Trinidad and Tobago 0 t compare
  31. 11 United Kingdom of Great Britain and Northern Ireland 0 t compare
  32. 11 Australia and New Zealand 0 t compare

See the full ranking of 74 places →

More agriculture & rural data for Africa

All data for Africa →

Frequently asked questions

What is alcohol, non-food — stock variation in Africa?
Alcohol, non-food — stock variation in Africa was 3,435 t in 2013, according to Food and Agriculture Organization of the United Nations.
What is the highest alcohol, non-food — stock variation recorded in Africa?
The highest recorded value was 130,910 t in 2004.
What is the lowest alcohol, non-food — stock variation recorded in Africa?
The lowest recorded value was -81,240 t in 2002.
How does Africa rank for alcohol, non-food — stock variation?
Africa ranks 14th out of 26 groups with data for 2013.
Is alcohol, non-food — stock variation rising or falling in Africa?
Over the last ten years it is up 98.6%. The long-run trend across the full record is volatile.
Where does this Africa data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Alcohol, Non-Food — Stock Variation. Statizoid updates them automatically from the source API.

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Alcohol, Non-Food — Stock Variation in Africa. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 26 August 2026, from https://agriculture.statizoid.com/stat/alcohol-non-food-stock-variation/africa/

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About this data

Indicator
Alcohol, Non-Food — Stock Variation
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
74 places, 3,641 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.