Alcohol, Non-Food — 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...
What the numbers show
Alcohol, Non-Food — Stock Variation is currently reported for 69 countries. The highest value is 185 1000 t in United States; the lowest is -15 1000 t in Paraguay.
The median across all reporting countries is 0 1000 t, and the mean is 4.32 1000 t.
The gap between the highest and lowest reporting country is a factor of about 12.
Over the past decade 24 countries rose and 13 fell. The largest increase was in Egypt (up 600.0%), and the largest decrease in South Africa (down 140.0%).
Alcohol, Non-Food — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | United States | 185 1000 t | 2023 | up 128.5% | volatile |
| 2 | Spain | 56 1000 t | 2023 | up 380.0% | volatile |
| 3 | Thailand | 22 1000 t | 2023 | up 37.5% | rising |
| 3 | Kenya | 22 1000 t | 2023 | — | volatile |
| 5 | Egypt | 15 1000 t | 2023 | up 600.0% | volatile |
| 6 | Costa Rica | 13 1000 t | 2023 | up 144.8% | volatile |
| 7 | Hungary | 10 1000 t | 2023 | up 133.3% | volatile |
| 8 | Bolivia (Plurinational State of) | 6 1000 t | 2023 | — | volatile |
| 9 | Ecuador | 5 1000 t | 2023 | up 350.0% | volatile |
| 10 | Argentina | 1 1000 t | 2023 | down 98.0% | volatile |
| 10 | Malawi | 1 1000 t | 2023 | — | volatile |
| 10 | Caribbean | 1 1000 t | 2023 | up 108.3% | volatile |
| 10 | Barbados | 1 1000 t | 2023 | — | volatile |
| 14 | Russia | 0 1000 t | 2023 | — | volatile |
| 14 | Senegal | 0 1000 t | 2023 | — | volatile |
| 14 | Sierra Leone | 0 1000 t | 2023 | — | volatile |
| 14 | El Salvador | 0 1000 t | 2023 | up 100.0% | volatile |
| 14 | Sweden | 0 1000 t | 2023 | — | volatile |
| 14 | Eswatini | 0 1000 t | 2023 | — | volatile |
| 14 | China, Macao SAR | 0 1000 t | 2023 | — | volatile |
| 14 | Trinidad and Tobago | 0 1000 t | 2023 | up 100.0% | volatile |
| 14 | Uganda | 0 1000 t | 2023 | down 100.0% | volatile |
| 14 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | — | volatile |
| 14 | Ukraine | 0 1000 t | 2023 | up 100.0% | volatile |
| 14 | China, mainland | 0 1000 t | 2023 | — | volatile |
| 14 | Zimbabwe | 0 1000 t | 2023 | up 100.0% | volatile |
| 14 | Australia and New Zealand | 0 1000 t | 2023 | down 100.0% | volatile |
| 14 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | up 100.0% | volatile |
| 14 | Russian Federation | 0 1000 t | 2023 | — | volatile |
| 14 | Republic of Moldova | 0 1000 t | 2023 | down 100.0% | volatile |
| 14 | Cuba | 0 1000 t | 2019 | down 100.0% | flat |
| 14 | Kazakhstan | 0 1000 t | 2023 | down 100.0% | volatile |
| 14 | Italy | 0 1000 t | 2023 | — | volatile |
| 14 | Indonesia | 0 1000 t | 2023 | up 100.0% | volatile |
| 14 | Croatia | 0 1000 t | 2023 | up 100.0% | flat |
| 14 | Ghana | 0 1000 t | 2023 | — | volatile |
| 14 | Ethiopia | 0 1000 t | 2023 | — | volatile |
| 14 | Estonia | 0 1000 t | 2023 | — | volatile |
| 14 | Germany | 0 1000 t | 2023 | up 100.0% | volatile |
| 14 | Czechia | 0 1000 t | 2023 | — | volatile |
| 14 | Qatar | 0 1000 t | 2023 | — | volatile |
| 14 | China | 0 1000 t | 2023 | — | volatile |
| 14 | Canada | 0 1000 t | 2023 | — | volatile |
| 14 | Brazil | 0 1000 t | 2023 | up 100.0% | volatile |
| 14 | Belarus | 0 1000 t | 2023 | down 100.0% | volatile |
| 14 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 14 | Belgium | 0 1000 t | 2023 | — | volatile |
| 14 | Australia | 0 1000 t | 2023 | down 100.0% | volatile |
| 14 | Armenia | 0 1000 t | 2023 | up 100.0% | volatile |
| 14 | Kyrgyzstan | 0 1000 t | 2023 | down 100.0% | volatile |
| 14 | Romania | 0 1000 t | 2023 | — | volatile |
| 14 | Lithuania | 0 1000 t | 2023 | — | volatile |
| 14 | Morocco | 0 1000 t | 2023 | up 100.0% | volatile |
| 14 | New Zealand | 0 1000 t | 2023 | — | flat |
| 14 | Nicaragua | 0 1000 t | 2023 | up 100.0% | volatile |
| 14 | Poland | 0 1000 t | 2023 | down 100.0% | volatile |
| 14 | Pakistan | 0 1000 t | 2023 | up 100.0% | volatile |
| 14 | Peru | 0 1000 t | 2023 | up 100.0% | volatile |
| 14 | Nigeria | 0 1000 t | 2023 | — | volatile |
| 14 | Moldova | 0 1000 t | 2023 | down 100.0% | volatile |
| 14 | Mexico | 0 1000 t | 2023 | down 100.0% | volatile |
| 14 | Mauritius | 0 1000 t | 2023 | up 100.0% | volatile |
| 14 | Panama | 0 1000 t | 2023 | — | volatile |
| 168 | Bulgaria | -1 1000 t | 2023 | up 87.5% | volatile |
| 169 | Slovakia | -2 1000 t | 2023 | — | flat |
| 170 | Türkiye | -7 1000 t | 2023 | — | flat |
| 170 | Turkey | -7 1000 t | 2023 | — | flat |
| 172 | South Africa | -8 1000 t | 2023 | down 140.0% | volatile |
| 173 | Paraguay | -15 1000 t | 2023 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 306 1000 t
- Americas 196 1000 t
- Northern America 185 1000 t
- United States of America 185 1000 t
- European Union (27) 64 1000 t
- Europe 63 1000 t
- Southern Europe 56 1000 t
- Net Food Importing Developing Countries (NFIDCs) 39 1000 t
- Africa 31 1000 t
- Low Income Food Deficit Countries (LIFDCs) 23 1000 t
- Eastern Africa 23 1000 t
- South-Eastern Asia 22 1000 t
- Northern Africa 15 1000 t
- Asia 15 1000 t
- Central America 13 1000 t
- Eastern Europe 7 1000 t
- Least Developed Countries (LDCs) 1 1000 t
- Small island developing States (SIDS) 1 1000 t
- Eastern Asia 0 1000 t
- Southern Asia 0 1000 t
- Oceania 0 1000 t
- Northern Europe 0 1000 t
- Western Africa 0 1000 t
- Western Europe 0 1000 t
- Central Asia 0 1000 t
- South America -2 1000 t
- Western Asia -7 1000 t
- Southern Africa -8 1000 t
- Land Locked Developing Countries (LLDCs) -8 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.