Wine — Export quantity 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
Wine — Export quantity is currently reported for 98 countries. The highest value is 2,252 1000 t in Italy; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 6 1000 t, and the mean is 116.53 1000 t.
Over the past decade 32 countries rose and 34 fell. The largest increase was in Ireland (up 1,800.0%), and the largest decrease in Belarus (down 100.0%).
Wine — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Italy | 2,252 1000 t | 2023 | up 5.1% | flat |
| 2 | Spain | 2,127 1000 t | 2023 | up 12.3% | flat |
| 3 | France | 1,347 1000 t | 2023 | down 12.1% | flat |
| 4 | Australia and New Zealand | 895 1000 t | 2023 | up 0.9% | flat |
| 5 | Chile | 651 1000 t | 2023 | down 26.0% | rising |
| 6 | Australia | 625 1000 t | 2023 | down 12.1% | falling |
| 7 | Germany | 357 1000 t | 2023 | down 17.6% | falling |
| 8 | South Africa | 356 1000 t | 2023 | down 41.2% | falling |
| 9 | Portugal | 324 1000 t | 2023 | up 5.5% | rising |
| 10 | New Zealand | 270 1000 t | 2023 | up 53.4% | rising |
| 11 | Canada | 226 1000 t | 2023 | up 425.6% | volatile |
| 12 | United States | 216 1000 t | 2023 | down 48.9% | falling |
| 13 | Argentina | 195 1000 t | 2023 | down 39.4% | falling |
| 14 | Latvia | 163 1000 t | 2023 | up 226.0% | rising |
| 15 | Belgium | 160 1000 t | 2023 | up 332.4% | volatile |
| 16 | Netherlands (Kingdom of the) | 115 1000 t | 2023 | up 210.8% | rising |
| 17 | Moldova | 111 1000 t | 2023 | down 10.5% | flat |
| 17 | Republic of Moldova | 111 1000 t | 2023 | down 10.5% | flat |
| 19 | Hungary | 107 1000 t | 2023 | up 101.9% | rising |
| 20 | Georgia | 90 1000 t | 2023 | up 150.0% | rising |
| 21 | Lithuania | 81 1000 t | 2023 | down 8.0% | rising |
| 22 | Austria | 74 1000 t | 2023 | up 48.0% | rising |
| 23 | Slovakia | 60 1000 t | 2023 | up 275.0% | volatile |
| 24 | North Macedonia | 54 1000 t | 2023 | down 41.3% | falling |
| 25 | Denmark | 43 1000 t | 2023 | down 23.2% | flat |
| 26 | Greece | 29 1000 t | 2023 | up 7.4% | falling |
| 27 | United Kingdom | 28 1000 t | 2023 | down 72.5% | falling |
| 27 | United Kingdom of Great Britain and Northern Ireland | 28 1000 t | 2023 | down 72.5% | falling |
| 29 | Thailand | 22 1000 t | 2023 | up 175.0% | rising |
| 30 | Finland | 20 1000 t | 2023 | up 900.0% | volatile |
| 31 | Ireland | 19 1000 t | 2023 | up 1,800.0% | volatile |
| 31 | Poland | 19 1000 t | 2023 | up 137.5% | volatile |
| 33 | Bulgaria | 18 1000 t | 2023 | down 66.0% | falling |
| 34 | Romania | 17 1000 t | 2023 | up 54.5% | rising |
| 35 | China | 15 1000 t | 2023 | down 28.6% | falling |
| 36 | Ukraine | 12 1000 t | 2023 | down 84.6% | volatile |
| 37 | Serbia | 11 1000 t | 2023 | down 15.4% | falling |
| 37 | Caribbean | 11 1000 t | 2023 | up 266.7% | rising |
| 37 | China, Hong Kong SAR | 11 1000 t | 2023 | down 42.1% | falling |
| 40 | United Arab Emirates | 9 1000 t | 2023 | up 350.0% | volatile |
| 40 | Luxembourg | 9 1000 t | 2023 | up 80.0% | rising |
| 40 | Sweden | 9 1000 t | 2023 | unchanged | rising |
| 43 | Armenia | 8 1000 t | 2023 | up 300.0% | volatile |
| 43 | Ghana | 8 1000 t | 2023 | — | volatile |
| 45 | Brazil | 7 1000 t | 2023 | down 66.7% | volatile |
| 45 | Jamaica | 7 1000 t | 2023 | up 133.3% | volatile |
| 45 | Turkey | 7 1000 t | 2023 | up 40.0% | rising |
| 45 | Türkiye | 7 1000 t | 2023 | up 40.0% | rising |
| 49 | Czechia | 6 1000 t | 2023 | down 82.4% | volatile |
| 49 | Montenegro | 6 1000 t | 2023 | unchanged | falling |
| 49 | Uzbekistan | 6 1000 t | 2023 | down 14.3% | falling |
| 52 | Azerbaijan | 5 1000 t | 2023 | down 16.7% | falling |
| 52 | Estonia | 5 1000 t | 2023 | up 25.0% | flat |
| 52 | Israel | 5 1000 t | 2023 | unchanged | rising |
| 55 | Dominican Republic | 4 1000 t | 2023 | — | volatile |
| 55 | Croatia | 4 1000 t | 2023 | up 33.3% | rising |
| 55 | Slovenia | 4 1000 t | 2023 | down 50.0% | falling |
| 55 | Uruguay | 4 1000 t | 2023 | unchanged | volatile |
| 55 | China, mainland | 4 1000 t | 2023 | up 33.3% | volatile |
| 60 | Bosnia and Herzegovina | 3 1000 t | 2023 | unchanged | rising |
| 60 | Morocco | 3 1000 t | 2023 | down 25.0% | falling |
| 62 | Lebanon | 2 1000 t | 2023 | unchanged | rising |
| 62 | Malaysia | 2 1000 t | 2023 | unchanged | falling |
| 62 | Norway | 2 1000 t | 2023 | up 100.0% | rising |
| 62 | Russia | 2 1000 t | 2023 | up 100.0% | volatile |
| 62 | Russian Federation | 2 1000 t | 2023 | up 100.0% | volatile |
| 67 | Angola | 1 1000 t | 2023 | — | volatile |
| 67 | Switzerland | 1 1000 t | 2023 | down 50.0% | falling |
| 67 | Gambia | 1 1000 t | 2023 | — | volatile |
| 67 | Guatemala | 1 1000 t | 2023 | — | volatile |
| 67 | India | 1 1000 t | 2023 | down 50.0% | falling |
| 67 | Mexico | 1 1000 t | 2023 | unchanged | rising |
| 67 | Namibia | 1 1000 t | 2023 | down 50.0% | volatile |
| 67 | Panama | 1 1000 t | 2020 | — | volatile |
| 67 | Eswatini | 1 1000 t | 2023 | — | volatile |
| 67 | Republic of Korea | 1 1000 t | 2023 | — | volatile |
| 77 | Belarus | 0 1000 t | 2023 | down 100.0% | volatile |
| 77 | Botswana | 0 1000 t | 2023 | — | volatile |
| 77 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 77 | Congo | 0 1000 t | 2023 | — | volatile |
| 77 | Cyprus | 0 1000 t | 2023 | down 100.0% | volatile |
| 77 | Algeria | 0 1000 t | 2023 | — | volatile |
| 77 | Fiji | 0 1000 t | 2023 | — | volatile |
| 77 | Indonesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 77 | Kazakhstan | 0 1000 t | 2023 | — | volatile |
| 77 | Kenya | 0 1000 t | 2023 | down 100.0% | volatile |
| 77 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 77 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 77 | Myanmar | 0 1000 t | 2022 | — | volatile |
| 77 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 77 | Philippines | 0 1000 t | 2023 | — | volatile |
| 77 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 77 | Tunisia | 0 1000 t | 2023 | down 100.0% | volatile |
| 77 | Uganda | 0 1000 t | 2023 | down 100.0% | volatile |
| 77 | Vietnam | 0 1000 t | 2023 | — | volatile |
| 77 | Melanesia | 0 1000 t | 2023 | — | volatile |
| 77 | Viet Nam | 0 1000 t | 2023 | — | volatile |
| 77 | China, Macao SAR | 0 1000 t | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 10,377 1000 t
- Europe 7,598 1000 t
- European Union (27) 7,369 1000 t
- Southern Europe 4,813 1000 t
- Western Europe 2,063 1000 t
- Americas 1,311 1000 t
- Oceania 895 1000 t
- South America 858 1000 t
- Northern America 442 1000 t
- Africa 397 1000 t
- Northern Europe 370 1000 t
- Southern Africa 358 1000 t
- Eastern Europe 352 1000 t
- United States of America 216 1000 t
- Land Locked Developing Countries (LLDCs) 186 1000 t
- Asia 176 1000 t
- Western Asia 127 1000 t
- Net Food Importing Developing Countries (NFIDCs) 44 1000 t
- Low Income Food Deficit Countries (LIFDCs) 32 1000 t
- Western Africa 31 1000 t
- Least Developed Countries (LDCs) 26 1000 t
- South-Eastern Asia 24 1000 t
- Eastern Asia 17 1000 t
- Small island developing States (SIDS) 11 1000 t
- Central Asia 7 1000 t
- Northern Africa 4 1000 t
- Eastern Africa 2 1000 t
- Central America 1 1000 t
- Middle Africa 1 1000 t
- Southern Asia 1 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.