Alcoholic Beverages — Stock Variation in Africa

Africa: Alcoholic Beverages — Stock Variation was 25,575 t in 2013. ◆ Volatile

Latest (2013)
25,575 t
Change on year
up 118.2%
Rank
13th
of 32 groups
All-time high
588,400 t
in 1973
All-time low
-738,900 t
in 1965
Years of data
53
1961–2013

Alcoholic Beverages — Stock Variation in Africa, 1961–2013

-500.0k0500.0k196119872013

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

Analysis

Africa recorded 25,575 t for alcoholic beverages — stock variation in 2013.

Compared with earlier readings it is up 118.2% on the previous year and up 262.3% over ten years.

Over the whole period, alcoholic beverages — stock variation in Africa peaked at 588,400 t in 1973 and was at its lowest, -738,900 t, in 1965.

That places Africa 13th out of 32 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.

Averages by decade

DecadeAverage LowestHighest Years
1960s -130,556 t -738,900 t 390,300 t 9
1970s 75,339 t -390,000 t 588,400 t 10
1980s 3,383 t -81,300 t 104,075 t 10
1990s -35,479 t -482,543 t 229,030 t 10
2000s 41,905 t -92,927 t 195,606 t 10
2010s -46,871 t -140,830 t 25,575 t 4

Countries ranked near Africa

  1. 10 El Salvador 15,000 t compare
  2. 11 Czechoslovakia 12,939 t compare
  3. 12 Slovakia 12,418 t compare
  4. 13 Tunisia 12,000 t compare
  5. 14 Estonia 6,000 t compare
  6. 15 Croatia 5,000 t compare
  7. 15 Germany 5,000 t compare
  8. 15 Morocco 5,000 t compare
  9. 15 Zambia 5,000 t compare

See the full ranking of 177 places →

More agriculture & rural data for Africa

All data for Africa →

Frequently asked questions

What is alcoholic beverages — stock variation in Africa?
Alcoholic beverages — stock variation in Africa was 25,575 t in 2013, according to Food and Agriculture Organization of the United Nations.
What is the highest alcoholic beverages — stock variation recorded in Africa?
The highest recorded value was 588,400 t in 1973.
What is the lowest alcoholic beverages — stock variation recorded in Africa?
The lowest recorded value was -738,900 t in 1965.
How does Africa rank for alcoholic beverages — stock variation?
Africa ranks 13th out of 32 groups with data for 2013.
Is alcoholic beverages — stock variation rising or falling in Africa?
Over the last ten years it is up 262.3%. 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 Alcoholic Beverages — Stock Variation. Statizoid updates them automatically from the source API.

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Alcoholic Beverages — Stock Variation in Africa. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 16 August 2026, from https://agriculture.statizoid.com/stat/alcoholic-beverages-stock-variation/africa/

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About this data

Indicator
Alcoholic Beverages — Stock Variation
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
177 places, 8,536 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.