Alcoholic Beverages — Stock Variation by country
A 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...
Countries reporting
179
Highest
2,106 1000 t
China
Lowest
-417 1000 t
Spain
Median
1 1000 t
Years covered
14
2010–2023
Data points
3,042
What the numbers show
Alcoholic Beverages — Stock Variation is currently reported for 179 countries. The highest value is 2,106 1000 t in China; the lowest is -417 1000 t in Spain.
The median across all reporting countries is 1 1000 t, and the mean is 40.37 1000 t.
The gap between the highest and lowest reporting country is a factor of about 5.
Over the past decade 60 countries rose and 75 fell. The largest increase was in Colombia (up 4,355.6%), and the largest decrease in Germany (down 1,900.0%).
Alcoholic Beverages — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 2,106 1000 t | 2023 | down 54.8% | falling |
| 2 | China, mainland | 2,055 1000 t | 2023 | down 55.7% | falling |
| 3 | United States | 492 1000 t | 2023 | up 175.7% | volatile |
| 4 | Colombia | 401 1000 t | 2023 | up 4,355.6% | volatile |
| 5 | Netherlands (Kingdom of the) | 318 1000 t | 2023 | — | volatile |
| 6 | Brazil | 297 1000 t | 2023 | up 263.2% | volatile |
| 7 | India | 278 1000 t | 2023 | up 1.1% | volatile |
| 8 | Cameroon | 202 1000 t | 2023 | up 18.1% | volatile |
| 9 | Canada | 176 1000 t | 2023 | up 358.8% | volatile |
| 10 | Portugal | 159 1000 t | 2023 | up 1,690.0% | volatile |
| 11 | France | 152 1000 t | 2023 | up 174.9% | volatile |
| 12 | Argentina | 116 1000 t | 2023 | down 24.2% | volatile |
| 13 | Democratic People's Republic of Korea | 108 1000 t | 2018 | up 340.0% | volatile |
| 14 | Cambodia | 99 1000 t | 2023 | — | volatile |
| 15 | Czechia | 83 1000 t | 2023 | — | volatile |
| 15 | Malawi | 83 1000 t | 2023 | up 260.9% | volatile |
| 17 | Italy | 56 1000 t | 2023 | down 82.6% | volatile |
| 18 | China, Taiwan Province of | 55 1000 t | 2023 | up 175.0% | volatile |
| 19 | Australia and New Zealand | 50 1000 t | 2023 | down 72.2% | volatile |
| 20 | Ghana | 48 1000 t | 2023 | up 41.2% | volatile |
| 21 | Hungary | 45 1000 t | 2023 | up 114.3% | volatile |
| 22 | Zambia | 44 1000 t | 2023 | unchanged | volatile |
| 23 | United Kingdom | 39 1000 t | 2023 | — | volatile |
| 23 | United Kingdom of Great Britain and Northern Ireland | 39 1000 t | 2023 | — | volatile |
| 25 | Austria | 37 1000 t | 2023 | up 237.0% | volatile |
| 26 | Belarus | 31 1000 t | 2023 | up 675.0% | volatile |
| 27 | Croatia | 28 1000 t | 2023 | up 660.0% | volatile |
| 28 | New Zealand | 26 1000 t | 2023 | up 388.9% | volatile |
| 29 | Bosnia and Herzegovina | 25 1000 t | 2023 | up 257.1% | volatile |
| 29 | Slovenia | 25 1000 t | 2023 | up 725.0% | volatile |
| 31 | Australia | 24 1000 t | 2023 | down 87.3% | volatile |
| 32 | Uruguay | 23 1000 t | 2023 | up 387.5% | volatile |
| 33 | Kenya | 22 1000 t | 2023 | down 77.6% | volatile |
| 34 | Vietnam | 18 1000 t | 2023 | up 117.3% | volatile |
| 34 | Viet Nam | 18 1000 t | 2023 | up 117.3% | volatile |
| 36 | Thailand | 17 1000 t | 2023 | down 85.0% | volatile |
| 37 | Egypt | 16 1000 t | 2023 | — | volatile |
| 38 | Costa Rica | 13 1000 t | 2023 | up 141.9% | volatile |
| 38 | Luxembourg | 13 1000 t | 2023 | — | volatile |
| 38 | Morocco | 13 1000 t | 2023 | up 1,200.0% | volatile |
| 38 | Caribbean | 13 1000 t | 2023 | up 360.0% | volatile |
| 42 | Bulgaria | 12 1000 t | 2023 | down 25.0% | volatile |
| 42 | Philippines | 12 1000 t | 2023 | up 107.3% | volatile |
| 42 | United Republic of Tanzania | 12 1000 t | 2023 | down 95.5% | volatile |
| 45 | Algeria | 10 1000 t | 2023 | up 1,100.0% | flat |
| 45 | Lithuania | 10 1000 t | 2023 | — | volatile |
| 45 | Sweden | 10 1000 t | 2023 | — | volatile |
| 48 | Romania | 9 1000 t | 2023 | down 92.7% | volatile |
| 49 | Nigeria | 8 1000 t | 2023 | down 96.2% | volatile |
| 50 | Dominican Republic | 7 1000 t | 2023 | up 40.0% | volatile |
| 50 | Eswatini | 7 1000 t | 2023 | — | volatile |
| 50 | Bolivia (Plurinational State of) | 7 1000 t | 2023 | up 800.0% | volatile |
| 53 | Botswana | 6 1000 t | 2023 | up 250.0% | volatile |
| 53 | Congo | 6 1000 t | 2023 | down 91.7% | volatile |
| 53 | Cyprus | 6 1000 t | 2023 | down 25.0% | volatile |
| 53 | Guatemala | 6 1000 t | 2023 | up 126.1% | volatile |
| 53 | Senegal | 6 1000 t | 2023 | — | volatile |
| 53 | Zimbabwe | 6 1000 t | 2023 | up 166.7% | volatile |
| 59 | Denmark | 5 1000 t | 2023 | down 80.8% | volatile |
| 59 | Latvia | 5 1000 t | 2023 | — | volatile |
| 59 | Melanesia | 5 1000 t | 2023 | down 72.2% | volatile |
| 59 | Polynesia | 5 1000 t | 2023 | — | volatile |
| 63 | French Polynesia | 4 1000 t | 2023 | — | volatile |
| 64 | Ecuador | 3 1000 t | 2023 | down 89.7% | volatile |
| 64 | Trinidad and Tobago | 3 1000 t | 2023 | up 400.0% | volatile |
| 64 | China, Macao SAR | 3 1000 t | 2023 | up 400.0% | volatile |
| 67 | Estonia | 2 1000 t | 2023 | up 133.3% | volatile |
| 67 | Liberia | 2 1000 t | 2023 | down 50.0% | volatile |
| 67 | New Caledonia | 2 1000 t | 2023 | down 50.0% | volatile |
| 67 | Papua New Guinea | 2 1000 t | 2023 | down 81.8% | volatile |
| 67 | Serbia | 2 1000 t | 2023 | — | volatile |
| 67 | Ukraine | 2 1000 t | 2023 | up 100.0% | volatile |
| 73 | Belgium | 1 1000 t | 2023 | — | volatile |
| 73 | Barbados | 1 1000 t | 2023 | down 50.0% | volatile |
| 73 | Finland | 1 1000 t | 2023 | up 114.3% | volatile |
| 73 | Guinea-Bissau | 1 1000 t | 2023 | down 75.0% | volatile |
| 73 | Guyana | 1 1000 t | 2023 | up 107.7% | volatile |
| 73 | Ireland | 1 1000 t | 2023 | down 90.0% | volatile |
| 73 | Iceland | 1 1000 t | 2023 | — | volatile |
| 73 | Israel | 1 1000 t | 2023 | down 66.7% | volatile |
| 73 | Saint Lucia | 1 1000 t | 2023 | — | volatile |
| 73 | Myanmar | 1 1000 t | 2023 | down 96.4% | volatile |
| 73 | Mozambique | 1 1000 t | 2023 | down 80.0% | volatile |
| 73 | Nicaragua | 1 1000 t | 2023 | up 125.0% | volatile |
| 73 | Peru | 1 1000 t | 2023 | down 95.0% | volatile |
| 73 | Russia | 1 1000 t | 2023 | — | volatile |
| 73 | Syria | 1 1000 t | 2023 | down 50.0% | volatile |
| 73 | Tunisia | 1 1000 t | 2023 | up 133.3% | volatile |
| 73 | Saint Vincent and the Grenadines | 1 1000 t | 2023 | up 133.3% | volatile |
| 73 | Democratic Republic of the Congo | 1 1000 t | 2023 | down 99.1% | volatile |
| 73 | Republic of Korea | 1 1000 t | 2023 | up 104.2% | volatile |
| 73 | Russian Federation | 1 1000 t | 2023 | — | volatile |
| 73 | Syrian Arab Republic | 1 1000 t | 2023 | down 50.0% | volatile |
| 94 | Afghanistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | Angola | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | Albania | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | United Arab Emirates | 0 1000 t | 2023 | — | volatile |
| 94 | Antigua and Barbuda | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | Burkina Faso | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 94 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 94 | Bahamas | 0 1000 t | 2023 | — | volatile |
| 94 | Belize | 0 1000 t | 2023 | — | volatile |
| 94 | Switzerland | 0 1000 t | 2023 | up 100.0% | volatile |
| 94 | Chile | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | Cote d'Ivoire | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | Cuba | 0 1000 t | 2019 | down 100.0% | flat |
| 94 | Djibouti | 0 1000 t | 2023 | — | volatile |
| 94 | Ethiopia | 0 1000 t | 2023 | up 100.0% | volatile |
| 94 | Fiji | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | Gabon | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | Guinea | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | Greece | 0 1000 t | 2023 | — | volatile |
| 94 | Grenada | 0 1000 t | 2023 | — | volatile |
| 94 | Honduras | 0 1000 t | 2023 | up 100.0% | volatile |
| 94 | Haiti | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | Indonesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | Iraq | 0 1000 t | 2023 | — | volatile |
| 94 | Jamaica | 0 1000 t | 2023 | up 100.0% | volatile |
| 94 | Jordan | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | Kazakhstan | 0 1000 t | 2023 | up 100.0% | volatile |
| 94 | Kyrgyzstan | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 94 | Laos | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | Lebanon | 0 1000 t | 2023 | up 100.0% | flat |
| 94 | Sri Lanka | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | Lesotho | 0 1000 t | 2023 | up 100.0% | volatile |
| 94 | Madagascar | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | Maldives | 0 1000 t | 2023 | — | volatile |
| 94 | Mexico | 0 1000 t | 2023 | up 100.0% | volatile |
| 94 | Malta | 0 1000 t | 2023 | up 100.0% | volatile |
| 94 | Mauritius | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | Malaysia | 0 1000 t | 2023 | — | volatile |
| 94 | Namibia | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | Niger | 0 1000 t | 2023 | — | volatile |
| 94 | Nepal | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | Oman | 0 1000 t | 2023 | — | volatile |
| 94 | Pakistan | 0 1000 t | 2023 | up 100.0% | volatile |
| 94 | Panama | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | Qatar | 0 1000 t | 2023 | — | volatile |
| 94 | Rwanda | 0 1000 t | 2023 | up 100.0% | volatile |
| 94 | Solomon Islands | 0 1000 t | 2023 | up 100.0% | flat |
| 94 | Sierra Leone | 0 1000 t | 2023 | up 100.0% | volatile |
| 94 | El Salvador | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 94 | Seychelles | 0 1000 t | 2023 | up 100.0% | volatile |
| 94 | Tajikistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | Turkmenistan | 0 1000 t | 2023 | — | volatile |
| 94 | East Timor | 0 1000 t | 2023 | — | volatile |
| 94 | Uzbekistan | 0 1000 t | 2023 | up 100.0% | volatile |
| 94 | Samoa | 0 1000 t | 2023 | — | volatile |
| 94 | Yemen | 0 1000 t | 2023 | — | volatile |
| 94 | Timor-Leste | 0 1000 t | 2023 | — | volatile |
| 94 | Cabo Verde | 0 1000 t | 2023 | up 100.0% | volatile |
| 94 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | volatile |
| 94 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | up 100.0% | volatile |
| 94 | Côte d'Ivoire | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | Lao People's Democratic Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 174 | Montenegro | -1 1000 t | 2023 | down 150.0% | volatile |
| 175 | Armenia | -3 1000 t | 2023 | down 50.0% | volatile |
| 175 | Gambia | -3 1000 t | 2023 | down 127.3% | volatile |
| 175 | Suriname | -3 1000 t | 2023 | down 142.9% | volatile |
| 175 | Slovakia | -3 1000 t | 2023 | up 70.0% | volatile |
| 179 | Poland | -5 1000 t | 2023 | down 103.3% | volatile |
| 179 | Turkey | -5 1000 t | 2023 | down 110.2% | volatile |
| 179 | Türkiye | -5 1000 t | 2023 | down 110.2% | volatile |
| 182 | China, Hong Kong SAR | -7 1000 t | 2023 | down 275.0% | volatile |
| 183 | Azerbaijan | -10 1000 t | 2023 | down 300.0% | volatile |
| 183 | Georgia | -10 1000 t | 2023 | down 200.0% | volatile |
| 185 | Paraguay | -14 1000 t | 2023 | — | volatile |
| 185 | Uganda | -14 1000 t | 2023 | down 800.0% | volatile |
| 187 | Moldova | -17 1000 t | 2023 | down 183.3% | volatile |
| 187 | Republic of Moldova | -17 1000 t | 2023 | down 183.3% | volatile |
| 189 | Mongolia | -20 1000 t | 2023 | down 211.1% | volatile |
| 190 | North Macedonia | -22 1000 t | 2023 | down 540.0% | volatile |
| 191 | Norway | -38 1000 t | 2023 | down 850.0% | volatile |
| 192 | Germany | -100 1000 t | 2023 | down 1,900.0% | volatile |
| 193 | South Africa | -128 1000 t | 2023 | down 420.0% | volatile |
| 194 | Spain | -417 1000 t | 2023 | down 138.1% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 4,936 1000 t
- Asia 2,496 1000 t
- Eastern Asia 2,091 1000 t
- Americas 1,531 1000 t
- South America 831 1000 t
- Northern America 668 1000 t
- United States of America 492 1000 t
- Europe 469 1000 t
- European Union (27) 452 1000 t
- Western Europe 420 1000 t
- Africa 379 1000 t
- Low Income Food Deficit Countries (LIFDCs) 360 1000 t
- Net Food Importing Developing Countries (NFIDCs) 323 1000 t
- Southern Asia 277 1000 t
- Least Developed Countries (LDCs) 263 1000 t
- Middle Africa 214 1000 t
- Eastern Europe 159 1000 t
- Eastern Africa 158 1000 t
- South-Eastern Asia 147 1000 t
- Western Africa 83 1000 t
- Land Locked Developing Countries (LLDCs) 64 1000 t
- Oceania 60 1000 t
- Northern Africa 40 1000 t
- Northern Europe 35 1000 t
- Small island developing States (SIDS) 22 1000 t
- Central America 20 1000 t
- Central Asia 1 1000 t
- Western Asia -20 1000 t
- Southern Africa -116 1000 t
- Southern Europe -146 1000 t
About this data
A 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 capita 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.