Beer — 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
181
Highest
2,043 1000 t
China
Lowest
-40 1000 t
Norway
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,823
What the numbers show
Beer — Stock Variation is currently reported for 181 countries. The highest value is 2,043 1000 t in China; the lowest is -40 1000 t in Norway.
The median across all reporting countries is 0 1000 t, and the mean is 31.39 1000 t.
The gap between the highest and lowest reporting country is a factor of about 51.
Over the past decade 55 countries rose and 60 fell. The largest increase was in Colombia (up 6,566.7%), and the largest decrease in Norway (down 1,233.3%).
Beer — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 2,043 1000 t | 2023 | down 30.1% | falling |
| 2 | China, mainland | 1,994 1000 t | 2023 | down 32.0% | falling |
| 3 | Colombia | 400 1000 t | 2023 | up 6,566.7% | volatile |
| 4 | Brazil | 295 1000 t | 2023 | up 195.5% | volatile |
| 5 | Spain | 175 1000 t | 2023 | up 21.5% | volatile |
| 6 | Canada | 170 1000 t | 2023 | up 872.7% | volatile |
| 7 | Argentina | 107 1000 t | 2023 | up 4.9% | volatile |
| 8 | Cambodia | 99 1000 t | 2023 | — | volatile |
| 9 | Austria | 57 1000 t | 2023 | up 319.2% | volatile |
| 10 | Netherlands (Kingdom of the) | 55 1000 t | 2023 | — | volatile |
| 11 | China, Taiwan Province of | 53 1000 t | 2023 | up 688.9% | volatile |
| 12 | Czechia | 49 1000 t | 2023 | up 196.1% | volatile |
| 13 | Portugal | 42 1000 t | 2023 | up 566.7% | volatile |
| 14 | Ghana | 26 1000 t | 2023 | up 8.3% | volatile |
| 15 | Slovenia | 25 1000 t | 2023 | up 725.0% | flat |
| 16 | Uruguay | 23 1000 t | 2023 | up 428.6% | volatile |
| 16 | Democratic People's Republic of Korea | 23 1000 t | 2018 | up 330.0% | volatile |
| 18 | Hungary | 21 1000 t | 2023 | up 320.0% | volatile |
| 19 | Croatia | 11 1000 t | 2023 | up 1,200.0% | volatile |
| 20 | Algeria | 10 1000 t | 2023 | — | volatile |
| 21 | Sweden | 8 1000 t | 2023 | up 161.5% | volatile |
| 22 | Bulgaria | 7 1000 t | 2023 | unchanged | volatile |
| 22 | Cyprus | 7 1000 t | 2023 | down 12.5% | volatile |
| 24 | Congo | 6 1000 t | 2023 | down 91.4% | volatile |
| 24 | Senegal | 6 1000 t | 2023 | — | volatile |
| 26 | Bosnia and Herzegovina | 5 1000 t | 2023 | — | volatile |
| 26 | Melanesia | 5 1000 t | 2023 | down 72.2% | volatile |
| 26 | Polynesia | 5 1000 t | 2023 | — | volatile |
| 29 | Georgia | 4 1000 t | 2023 | up 150.0% | volatile |
| 29 | Lithuania | 4 1000 t | 2023 | up 126.7% | volatile |
| 29 | French Polynesia | 4 1000 t | 2023 | — | volatile |
| 32 | Caribbean | 3 1000 t | 2023 | up 175.0% | volatile |
| 33 | Luxembourg | 2 1000 t | 2023 | — | volatile |
| 33 | Malawi | 2 1000 t | 2023 | up 122.2% | volatile |
| 33 | New Caledonia | 2 1000 t | 2023 | down 33.3% | volatile |
| 33 | Papua New Guinea | 2 1000 t | 2023 | down 84.6% | volatile |
| 37 | Bahamas | 1 1000 t | 2023 | — | volatile |
| 37 | Fiji | 1 1000 t | 2023 | down 80.0% | volatile |
| 37 | Saint Lucia | 1 1000 t | 2023 | up 200.0% | volatile |
| 37 | Latvia | 1 1000 t | 2023 | up 114.3% | volatile |
| 37 | Saint Vincent and the Grenadines | 1 1000 t | 2023 | up 133.3% | volatile |
| 37 | China, Macao SAR | 1 1000 t | 2023 | up 200.0% | volatile |
| 43 | Afghanistan | 0 1000 t | 2023 | down 100.0% | flat |
| 43 | Angola | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Albania | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | United Arab Emirates | 0 1000 t | 2023 | — | volatile |
| 43 | Armenia | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Antigua and Barbuda | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Australia | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 43 | Belgium | 0 1000 t | 2023 | — | volatile |
| 43 | Burkina Faso | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 43 | Bahrain | 0 1000 t | 2023 | — | flat |
| 43 | Belarus | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Belize | 0 1000 t | 2023 | — | volatile |
| 43 | Barbados | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Bhutan | 0 1000 t | 2023 | — | flat |
| 43 | Switzerland | 0 1000 t | 2023 | up 100.0% | volatile |
| 43 | Chile | 0 1000 t | 2023 | — | volatile |
| 43 | Cameroon | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Comoros | 0 1000 t | 2023 | — | flat |
| 43 | Costa Rica | 0 1000 t | 2023 | up 100.0% | volatile |
| 43 | Cuba | 0 1000 t | 2019 | — | flat |
| 43 | Germany | 0 1000 t | 2023 | up 100.0% | volatile |
| 43 | Djibouti | 0 1000 t | 2023 | — | flat |
| 43 | Denmark | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Dominican Republic | 0 1000 t | 2023 | up 100.0% | volatile |
| 43 | Ecuador | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Egypt | 0 1000 t | 2023 | down 100.0% | flat |
| 43 | Estonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Ethiopia | 0 1000 t | 2023 | up 100.0% | volatile |
| 43 | Finland | 0 1000 t | 2023 | up 100.0% | volatile |
| 43 | Gabon | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Guinea | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Guinea-Bissau | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Greece | 0 1000 t | 2023 | up 100.0% | volatile |
| 43 | Grenada | 0 1000 t | 2023 | — | volatile |
| 43 | Guatemala | 0 1000 t | 2023 | up 100.0% | volatile |
| 43 | Guyana | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Honduras | 0 1000 t | 2023 | up 100.0% | volatile |
| 43 | Haiti | 0 1000 t | 2023 | — | volatile |
| 43 | Indonesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | India | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Ireland | 0 1000 t | 2023 | — | volatile |
| 43 | Iraq | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Iceland | 0 1000 t | 2023 | — | volatile |
| 43 | Israel | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Italy | 0 1000 t | 2023 | — | volatile |
| 43 | Jamaica | 0 1000 t | 2023 | — | volatile |
| 43 | Jordan | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Kazakhstan | 0 1000 t | 2023 | up 100.0% | volatile |
| 43 | Kenya | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Kyrgyzstan | 0 1000 t | 2023 | down 100.0% | flat |
| 43 | Kiribati | 0 1000 t | 2023 | — | flat |
| 43 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 43 | Kuwait | 0 1000 t | 2021 | — | flat |
| 43 | Lebanon | 0 1000 t | 2023 | — | volatile |
| 43 | Liberia | 0 1000 t | 2023 | down 100.0% | flat |
| 43 | Libya | 0 1000 t | 2023 | — | flat |
| 43 | Sri Lanka | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Lesotho | 0 1000 t | 2023 | — | flat |
| 43 | Morocco | 0 1000 t | 2023 | up 100.0% | flat |
| 43 | Madagascar | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Maldives | 0 1000 t | 2023 | — | flat |
| 43 | Mexico | 0 1000 t | 2023 | up 100.0% | volatile |
| 43 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 43 | North Macedonia | 0 1000 t | 2023 | — | volatile |
| 43 | Malta | 0 1000 t | 2023 | up 100.0% | volatile |
| 43 | Myanmar | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Montenegro | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 43 | Mauritania | 0 1000 t | 2023 | — | flat |
| 43 | Mauritius | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Malaysia | 0 1000 t | 2023 | — | volatile |
| 43 | Namibia | 0 1000 t | 2023 | up 100.0% | volatile |
| 43 | Niger | 0 1000 t | 2023 | — | volatile |
| 43 | Nigeria | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Nicaragua | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Nepal | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Nauru | 0 1000 t | 2023 | — | flat |
| 43 | New Zealand | 0 1000 t | 2023 | up 100.0% | volatile |
| 43 | Oman | 0 1000 t | 2023 | — | flat |
| 43 | Pakistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Panama | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Peru | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Philippines | 0 1000 t | 2023 | up 100.0% | volatile |
| 43 | Poland | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 43 | Qatar | 0 1000 t | 2023 | — | flat |
| 43 | Romania | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Rwanda | 0 1000 t | 2023 | up 100.0% | volatile |
| 43 | Solomon Islands | 0 1000 t | 2023 | up 100.0% | flat |
| 43 | Sierra Leone | 0 1000 t | 2023 | up 100.0% | volatile |
| 43 | El Salvador | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Serbia | 0 1000 t | 2023 | — | flat |
| 43 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 43 | Suriname | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Slovakia | 0 1000 t | 2023 | — | volatile |
| 43 | Eswatini | 0 1000 t | 2023 | — | flat |
| 43 | Seychelles | 0 1000 t | 2023 | up 100.0% | volatile |
| 43 | Tajikistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Turkmenistan | 0 1000 t | 2023 | — | volatile |
| 43 | Tonga | 0 1000 t | 2023 | — | flat |
| 43 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 43 | Tunisia | 0 1000 t | 2023 | up 100.0% | volatile |
| 43 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 43 | Uganda | 0 1000 t | 2023 | — | flat |
| 43 | Ukraine | 0 1000 t | 2023 | — | volatile |
| 43 | Uzbekistan | 0 1000 t | 2023 | up 100.0% | volatile |
| 43 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 43 | Samoa | 0 1000 t | 2023 | — | volatile |
| 43 | Yemen | 0 1000 t | 2023 | — | volatile |
| 43 | Zambia | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Zimbabwe | 0 1000 t | 2023 | up 100.0% | volatile |
| 43 | Micronesia | 0 1000 t | 2023 | — | flat |
| 43 | Timor-Leste | 0 1000 t | 2023 | — | volatile |
| 43 | Cabo Verde | 0 1000 t | 2023 | up 100.0% | volatile |
| 43 | Democratic Republic of the Congo | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | volatile |
| 43 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | volatile |
| 43 | Republic of Korea | 0 1000 t | 2023 | up 100.0% | volatile |
| 43 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 43 | Russian Federation | 0 1000 t | 2023 | up 100.0% | volatile |
| 43 | Syrian Arab Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 43 | Viet Nam | 0 1000 t | 2023 | up 100.0% | volatile |
| 43 | Türkiye | 0 1000 t | 2023 | down 100.0% | flat |
| 43 | Australia and New Zealand | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Côte d'Ivoire | 0 1000 t | 2023 | down 100.0% | volatile |
| 43 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 43 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 43 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | up 100.0% | volatile |
| 43 | Micronesia (Federated States of) | 0 1000 t | 2023 | — | flat |
| 175 | Botswana | -2 1000 t | 2023 | up 33.3% | volatile |
| 176 | Gambia | -3 1000 t | 2023 | down 400.0% | volatile |
| 177 | France | -4 1000 t | 2023 | up 98.0% | flat |
| 178 | Thailand | -5 1000 t | 2023 | up 28.6% | volatile |
| 178 | China, Hong Kong SAR | -5 1000 t | 2023 | down 350.0% | volatile |
| 180 | Mongolia | -15 1000 t | 2023 | down 183.3% | volatile |
| 181 | Norway | -40 1000 t | 2023 | down 1,233.3% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 3,629 1000 t
- Asia 2,137 1000 t
- Eastern Asia 2,032 1000 t
- Americas 997 1000 t
- South America 825 1000 t
- European Union (27) 460 1000 t
- Europe 417 1000 t
- Southern Europe 258 1000 t
- Northern America 170 1000 t
- Least Developed Countries (LDCs) 128 1000 t
- Net Food Importing Developing Countries (NFIDCs) 113 1000 t
- Western Europe 109 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.