Alcoholic Beverages — Losses by country
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...
What the numbers show
Alcoholic Beverages — Losses is currently reported for 26 countries. The highest value is 880,296 t in Nigeria; the lowest is 52 t in Kenya.
The median across all reporting countries is 10,316 t, and the mean is 59,008 t.
The gap between the highest and lowest reporting country is a factor of about 16,929.
Over the past decade 16 countries rose and 10 fell. The largest increase was in Angola (up 33,708.8%), and the largest decrease in Uganda (down 95.5%).
Alcoholic Beverages — Losses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Nigeria | 880,296 t | 2013 | up 6.5% | rising |
| 2 | Argentina | 139,306 t | 2013 | up 1,392.8% | volatile |
| 3 | Yugoslav SFR | 80,000 t | 1991 | up 196.3% | volatile |
| 3 | United Republic of Tanzania | 34,278 t | 2013 | up 39.0% | volatile |
| 4 | Spain | 71,522 t | 2013 | up 43.0% | falling |
| 5 | Cameroon | 66,467 t | 2013 | up 768.6% | volatile |
| 6 | Angola | 57,475 t | 2013 | up 33,708.8% | volatile |
| 7 | China, mainland | 56,634 t | 2013 | up 11.7% | volatile |
| 8 | France | 49,495 t | 2013 | down 24.8% | volatile |
| 9 | Italy | 20,000 t | 2013 | down 9.1% | volatile |
| 10 | Uganda | 13,126 t | 2013 | down 95.5% | falling |
| 11 | Slovenia | 11,733 t | 2013 | down 3.9% | falling |
| 12 | Romania | 11,038 t | 2013 | up 1.0% | falling |
| 13 | Serbia and Montenegro | 9,593 t | 2005 | down 16.6% | falling |
| 14 | Rwanda | 8,143 t | 2013 | down 10.1% | rising |
| 15 | Portugal | 7,000 t | 2013 | down 22.2% | volatile |
| 16 | Brazil | 6,906 t | 2013 | up 18.5% | rising |
| 17 | Greece | 3,467 t | 2013 | down 17.0% | falling |
| 18 | North Macedonia | 3,000 t | 2013 | up 20.0% | falling |
| 19 | Morocco | 1,500 t | 2013 | up 50.0% | volatile |
| 20 | Hungary | 1,100 t | 2013 | down 8.3% | volatile |
| 21 | Central African Republic | 857 t | 2013 | up 7.1% | rising |
| 22 | Canada | 600 t | 2013 | up 50.0% | rising |
| 23 | Bosnia and Herzegovina | 551 t | 2013 | down 13.8% | falling |
| 24 | China, Hong Kong SAR | 78 t | 2013 | up 69.6% | volatile |
| 25 | Kenya | 52 t | 2013 | up 420.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 1.44 million t
- Middle Africa 124,799 t
- Africa 1.06 million t
- Asia 56,712 t
- Low Income Food Deficit Countries 1.00 million t
- Western Africa 880,296 t
- Land Locked Developing Countries 25,126 t
- Europe 178,906 t
- Americas 146,812 t
- South America 146,212 t
- Southern Europe 117,273 t
- Net Food Importing Developing Countries 115,431 t
- Least developed countries 113,879 t
- Eastern Asia 56,712 t
- Eastern Africa 55,599 t
- Western Europe 49,495 t
- Eastern Europe 12,138 t
- Northern Africa 1,500 t
- Northern America 600 t
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.