Onions — 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
Onions — Export quantity is currently reported for 142 countries. The highest value is 2,529 1000 t in India; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 1 1000 t, and the mean is 75.84 1000 t.
Over the past decade 39 countries rose and 31 fell. The largest increase was in Russian Federation (up 5,200.0%), and the largest decrease in Costa Rica (down 100.0%).
Onions — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 2,529 1000 t | 2023 | up 71.2% | rising |
| 2 | Netherlands (Kingdom of the) | 1,516 1000 t | 2023 | up 24.1% | rising |
| 3 | China | 1,192 1000 t | 2023 | up 60.0% | rising |
| 3 | China, mainland | 1,192 1000 t | 2023 | up 60.4% | rising |
| 5 | Mexico | 536 1000 t | 2023 | up 41.8% | rising |
| 6 | Egypt | 533 1000 t | 2023 | up 61.5% | rising |
| 7 | Uzbekistan | 302 1000 t | 2023 | up 2,416.7% | volatile |
| 8 | Spain | 294 1000 t | 2023 | up 2.1% | rising |
| 9 | Afghanistan | 279 1000 t | 2023 | — | volatile |
| 10 | Peru | 260 1000 t | 2023 | up 32.7% | rising |
| 11 | Pakistan | 198 1000 t | 2023 | up 94.1% | volatile |
| 12 | Argentina | 161 1000 t | 2023 | down 28.4% | falling |
| 13 | Poland | 156 1000 t | 2023 | up 39.3% | rising |
| 14 | Niger | 121 1000 t | 2023 | up 28.7% | rising |
| 14 | Türkiye | 121 1000 t | 2023 | down 23.4% | rising |
| 16 | Kazakhstan | 117 1000 t | 2023 | up 408.7% | volatile |
| 17 | Myanmar | 106 1000 t | 2023 | up 2,020.0% | volatile |
| 18 | France | 99 1000 t | 2023 | up 8.8% | rising |
| 19 | Yemen | 87 1000 t | 2023 | down 30.4% | flat |
| 20 | Austria | 77 1000 t | 2023 | up 30.5% | rising |
| 20 | Germany | 77 1000 t | 2023 | down 1.3% | falling |
| 22 | United Arab Emirates | 67 1000 t | 2023 | up 318.8% | volatile |
| 23 | Canada | 65 1000 t | 2023 | up 27.5% | rising |
| 24 | Iran (Islamic Republic of) | 64 1000 t | 2023 | up 39.1% | volatile |
| 25 | Belgium | 55 1000 t | 2023 | up 31.0% | rising |
| 26 | Russian Federation | 53 1000 t | 2023 | up 5,200.0% | volatile |
| 27 | Australia | 41 1000 t | 2023 | down 21.2% | falling |
| 27 | Australia and New Zealand | 41 1000 t | 2023 | down 21.2% | falling |
| 29 | Chile | 28 1000 t | 2023 | up 12.0% | volatile |
| 30 | Malaysia | 27 1000 t | 2023 | down 57.1% | volatile |
| 31 | Guatemala | 26 1000 t | 2023 | down 13.3% | rising |
| 32 | Italy | 25 1000 t | 2023 | down 35.9% | falling |
| 32 | Viet Nam | 25 1000 t | 2023 | up 525.0% | volatile |
| 34 | Azerbaijan | 23 1000 t | 2023 | up 666.7% | volatile |
| 35 | Serbia | 22 1000 t | 2023 | up 266.7% | rising |
| 36 | Slovakia | 17 1000 t | 2023 | up 1,600.0% | volatile |
| 36 | Thailand | 17 1000 t | 2023 | down 58.5% | volatile |
| 38 | Portugal | 16 1000 t | 2023 | up 220.0% | volatile |
| 38 | Senegal | 16 1000 t | 2023 | up 433.3% | volatile |
| 40 | Nigeria | 15 1000 t | 2023 | — | volatile |
| 40 | Slovenia | 15 1000 t | 2023 | up 275.0% | volatile |
| 42 | United Republic of Tanzania | 13 1000 t | 2023 | up 44.4% | volatile |
| 43 | Kyrgyzstan | 12 1000 t | 2023 | down 62.5% | volatile |
| 44 | Republic of Moldova | 11 1000 t | 2023 | — | volatile |
| 45 | Denmark | 10 1000 t | 2023 | down 9.1% | falling |
| 45 | Syrian Arab Republic | 10 1000 t | 2023 | down 16.7% | volatile |
| 47 | Latvia | 8 1000 t | 2023 | up 166.7% | rising |
| 47 | Namibia | 8 1000 t | 2023 | down 33.3% | volatile |
| 49 | Czechia | 6 1000 t | 2023 | down 40.0% | falling |
| 49 | Greece | 6 1000 t | 2023 | up 100.0% | volatile |
| 51 | Cameroon | 5 1000 t | 2023 | — | volatile |
| 51 | Kenya | 5 1000 t | 2023 | up 66.7% | volatile |
| 51 | Lithuania | 5 1000 t | 2023 | down 64.3% | falling |
| 51 | Uganda | 5 1000 t | 2023 | — | volatile |
| 51 | United Kingdom of Great Britain and Northern Ireland | 5 1000 t | 2023 | unchanged | falling |
| 56 | Ethiopia | 4 1000 t | 2023 | down 69.2% | falling |
| 56 | Ghana | 4 1000 t | 2023 | up 300.0% | volatile |
| 56 | Jordan | 4 1000 t | 2023 | up 100.0% | volatile |
| 56 | Madagascar | 4 1000 t | 2023 | up 33.3% | rising |
| 60 | Belarus | 3 1000 t | 2023 | up 50.0% | volatile |
| 60 | North Macedonia | 3 1000 t | 2023 | down 62.5% | volatile |
| 62 | Croatia | 2 1000 t | 2023 | up 100.0% | volatile |
| 62 | Ireland | 2 1000 t | 2023 | up 100.0% | rising |
| 62 | Kuwait | 2 1000 t | 2023 | unchanged | volatile |
| 62 | Lebanon | 2 1000 t | 2023 | down 92.9% | volatile |
| 62 | Sweden | 2 1000 t | 2023 | — | volatile |
| 62 | Ukraine | 2 1000 t | 2023 | down 96.1% | volatile |
| 68 | Albania | 1 1000 t | 2023 | unchanged | volatile |
| 68 | Armenia | 1 1000 t | 2023 | — | volatile |
| 68 | Bulgaria | 1 1000 t | 2023 | — | volatile |
| 68 | Colombia | 1 1000 t | 2023 | — | volatile |
| 68 | Algeria | 1 1000 t | 2023 | — | volatile |
| 68 | Ecuador | 1 1000 t | 2023 | down 95.5% | volatile |
| 68 | Georgia | 1 1000 t | 2023 | — | volatile |
| 68 | Honduras | 1 1000 t | 2023 | down 50.0% | volatile |
| 68 | Hungary | 1 1000 t | 2023 | down 66.7% | falling |
| 68 | Israel | 1 1000 t | 2016 | — | volatile |
| 68 | Nicaragua | 1 1000 t | 2023 | — | volatile |
| 68 | Oman | 1 1000 t | 2023 | unchanged | volatile |
| 68 | Rwanda | 1 1000 t | 2022 | — | volatile |
| 68 | Saudi Arabia | 1 1000 t | 2023 | — | volatile |
| 68 | Zambia | 1 1000 t | 2023 | — | volatile |
| 83 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 83 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 83 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 83 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | volatile |
| 83 | Belize | 0 1000 t | 2016 | — | flat |
| 83 | Barbados | 0 1000 t | 2016 | — | flat |
| 83 | Botswana | 0 1000 t | 2023 | — | volatile |
| 83 | Switzerland | 0 1000 t | 2023 | — | volatile |
| 83 | Congo | 0 1000 t | 2023 | — | flat |
| 83 | Costa Rica | 0 1000 t | 2023 | down 100.0% | volatile |
| 83 | Cyprus | 0 1000 t | 2020 | — | flat |
| 83 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 83 | Estonia | 0 1000 t | 2023 | — | flat |
| 83 | Finland | 0 1000 t | 2023 | — | flat |
| 83 | Fiji | 0 1000 t | 2023 | — | flat |
| 83 | Gabon | 0 1000 t | 2023 | — | flat |
| 83 | Grenada | 0 1000 t | 2014 | — | flat |
| 83 | Guyana | 0 1000 t | 2023 | — | flat |
| 83 | Indonesia | 0 1000 t | 2022 | — | volatile |
| 83 | Iraq | 0 1000 t | 2023 | — | flat |
| 83 | Iceland | 0 1000 t | 2023 | — | flat |
| 83 | Jamaica | 0 1000 t | 2023 | — | flat |
| 83 | Cambodia | 0 1000 t | 2023 | — | flat |
| 83 | Saint Kitts and Nevis | 0 1000 t | 2022 | — | flat |
| 83 | Libya | 0 1000 t | 2014 | — | flat |
| 83 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 83 | Sri Lanka | 0 1000 t | 2023 | — | volatile |
| 83 | Luxembourg | 0 1000 t | 2023 | — | volatile |
| 83 | Morocco | 0 1000 t | 2023 | down 100.0% | volatile |
| 83 | Malta | 0 1000 t | 2023 | — | flat |
| 83 | Montenegro | 0 1000 t | 2023 | — | flat |
| 83 | Mongolia | 0 1000 t | 2023 | — | flat |
| 83 | Mozambique | 0 1000 t | 2023 | — | flat |
| 83 | Mauritania | 0 1000 t | 2022 | — | volatile |
| 83 | Mauritius | 0 1000 t | 2022 | — | flat |
| 83 | Malawi | 0 1000 t | 2023 | — | flat |
| 83 | Norway | 0 1000 t | 2023 | — | flat |
| 83 | Nepal | 0 1000 t | 2023 | — | flat |
| 83 | Panama | 0 1000 t | 2019 | — | flat |
| 83 | Philippines | 0 1000 t | 2023 | down 100.0% | volatile |
| 83 | Romania | 0 1000 t | 2023 | down 100.0% | volatile |
| 83 | El Salvador | 0 1000 t | 2023 | — | flat |
| 83 | Suriname | 0 1000 t | 2018 | — | flat |
| 83 | Eswatini | 0 1000 t | 2020 | — | flat |
| 83 | Tajikistan | 0 1000 t | 2023 | down 100.0% | falling |
| 83 | Turkmenistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 83 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 83 | Uruguay | 0 1000 t | 2021 | — | flat |
| 83 | Samoa | 0 1000 t | 2023 | — | flat |
| 83 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 83 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 83 | Melanesia | 0 1000 t | 2023 | — | flat |
| 83 | Polynesia | 0 1000 t | 2023 | — | flat |
| 83 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 83 | Caribbean | 0 1000 t | 2023 | — | flat |
| 83 | China, Hong Kong SAR | 0 1000 t | 2023 | — | volatile |
| 83 | Republic of Korea | 0 1000 t | 2023 | down 100.0% | volatile |
| 83 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 83 | China, Taiwan Province of | 0 1000 t | 2023 | down 100.0% | volatile |
| 83 | China, Macao SAR | 0 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 10,015 1000 t
- Asia 5,190 1000 t
- Southern Asia 3,070 1000 t
- Europe 2,493 1000 t
- European Union (27) 2,392 1000 t
- Western Europe 1,825 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,681 1000 t
- Americas 1,412 1000 t
- Eastern Asia 1,197 1000 t
- Low Income Food Deficit Countries (LIFDCs) 898 1000 t
- Land Locked Developing Countries (LLDCs) 883 1000 t
- Africa 880 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.