Onions — Import 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 — Import quantity is currently reported for 173 countries. The highest value is 888 1000 t in Bangladesh; the lowest is 0 1000 t in United Republic of Tanzania.
The median across all reporting countries is 8 1000 t, and the mean is 48.18 1000 t.
Over the past decade 73 countries rose and 49 fell. The largest increase was in Ukraine (up 1,600.0%), and the largest decrease in Argentina (down 100.0%).
Onions — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Bangladesh | 888 1000 t | 2023 | up 146.7% | rising |
| 2 | Malaysia | 566 1000 t | 2023 | up 23.0% | rising |
| 3 | Pakistan | 388 1000 t | 2023 | up 126.9% | volatile |
| 4 | United Arab Emirates | 384 1000 t | 2023 | up 92.0% | rising |
| 5 | United Kingdom of Great Britain and Northern Ireland | 381 1000 t | 2023 | down 12.4% | falling |
| 6 | Viet Nam | 350 1000 t | 2023 | up 105.9% | volatile |
| 7 | Sri Lanka | 306 1000 t | 2023 | up 66.3% | rising |
| 8 | Germany | 259 1000 t | 2023 | up 9.3% | flat |
| 9 | Netherlands (Kingdom of the) | 258 1000 t | 2023 | up 55.4% | rising |
| 10 | Canada | 227 1000 t | 2023 | up 22.0% | rising |
| 11 | Russian Federation | 206 1000 t | 2023 | down 15.6% | falling |
| 12 | Kazakhstan | 199 1000 t | 2023 | up 48.5% | rising |
| 12 | Poland | 199 1000 t | 2023 | up 192.6% | volatile |
| 14 | Senegal | 195 1000 t | 2023 | up 47.7% | rising |
| 15 | Saudi Arabia | 181 1000 t | 2023 | down 35.1% | falling |
| 16 | Indonesia | 157 1000 t | 2023 | up 460.7% | rising |
| 17 | Spain | 148 1000 t | 2023 | up 131.2% | rising |
| 18 | Nepal | 134 1000 t | 2023 | up 65.4% | rising |
| 19 | France | 130 1000 t | 2023 | down 4.4% | rising |
| 20 | Republic of Korea | 126 1000 t | 2023 | up 113.6% | volatile |
| 21 | Iraq | 119 1000 t | 2023 | up 14.4% | volatile |
| 22 | Belgium | 109 1000 t | 2023 | down 8.4% | falling |
| 23 | Thailand | 104 1000 t | 2023 | up 5.1% | rising |
| 24 | Oman | 101 1000 t | 2023 | up 80.4% | rising |
| 25 | Italy | 98 1000 t | 2023 | up 21.0% | rising |
| 25 | Kuwait | 98 1000 t | 2023 | down 12.5% | rising |
| 27 | Portugal | 90 1000 t | 2023 | up 57.9% | rising |
| 28 | China | 76 1000 t | 2023 | down 8.4% | rising |
| 29 | Mozambique | 74 1000 t | 2023 | up 252.4% | volatile |
| 30 | Guinea | 69 1000 t | 2023 | up 50.0% | rising |
| 30 | Romania | 69 1000 t | 2023 | up 76.9% | rising |
| 32 | Mexico | 68 1000 t | 2023 | up 19.3% | rising |
| 32 | Ukraine | 68 1000 t | 2023 | up 1,600.0% | volatile |
| 32 | China, Taiwan Province of | 68 1000 t | 2023 | up 9.7% | rising |
| 35 | Philippines | 65 1000 t | 2023 | up 622.2% | volatile |
| 36 | Czechia | 64 1000 t | 2023 | down 5.9% | flat |
| 37 | Qatar | 62 1000 t | 2023 | — | falling |
| 38 | Mauritania | 60 1000 t | 2023 | up 39.5% | rising |
| 39 | Colombia | 58 1000 t | 2023 | down 30.1% | falling |
| 40 | Caribbean | 46 1000 t | 2023 | up 53.3% | rising |
| 41 | Ireland | 42 1000 t | 2023 | up 20.0% | rising |
| 41 | El Salvador | 42 1000 t | 2023 | up 35.5% | rising |
| 41 | Uganda | 42 1000 t | 2023 | up 600.0% | volatile |
| 44 | Uzbekistan | 35 1000 t | 2023 | up 52.2% | volatile |
| 45 | Israel | 33 1000 t | 2023 | up 175.0% | volatile |
| 46 | Bahrain | 32 1000 t | 2023 | — | falling |
| 46 | Chile | 32 1000 t | 2023 | up 45.5% | volatile |
| 46 | Georgia | 32 1000 t | 2023 | up 68.4% | rising |
| 49 | Croatia | 28 1000 t | 2023 | up 75.0% | rising |
| 50 | Greece | 27 1000 t | 2023 | up 440.0% | volatile |
| 50 | Slovenia | 27 1000 t | 2023 | up 80.0% | rising |
| 52 | Nicaragua | 26 1000 t | 2023 | up 73.3% | rising |
| 52 | Sweden | 26 1000 t | 2023 | down 3.7% | falling |
| 54 | Ghana | 24 1000 t | 2023 | down 57.1% | rising |
| 55 | Djibouti | 23 1000 t | 2023 | up 76.9% | rising |
| 56 | Bulgaria | 22 1000 t | 2023 | unchanged | rising |
| 57 | Afghanistan | 21 1000 t | 2023 | up 133.3% | volatile |
| 57 | Dominican Republic | 21 1000 t | 2023 | up 162.5% | rising |
| 57 | Ethiopia | 21 1000 t | 2023 | up 110.0% | volatile |
| 57 | India | 21 1000 t | 2023 | up 16.7% | volatile |
| 61 | Mongolia | 18 1000 t | 2023 | up 5.9% | rising |
| 62 | Latvia | 17 1000 t | 2023 | up 70.0% | rising |
| 62 | Sierra Leone | 17 1000 t | 2023 | unchanged | rising |
| 62 | Serbia | 17 1000 t | 2023 | up 70.0% | rising |
| 62 | Syrian Arab Republic | 17 1000 t | 2023 | down 22.7% | falling |
| 66 | Hungary | 16 1000 t | 2023 | up 77.8% | rising |
| 67 | Maldives | 15 1000 t | 2023 | up 87.5% | rising |
| 68 | Mauritius | 14 1000 t | 2023 | up 55.6% | rising |
| 69 | Niger | 13 1000 t | 2023 | — | volatile |
| 69 | Slovakia | 13 1000 t | 2023 | down 31.6% | falling |
| 71 | Congo | 12 1000 t | 2023 | up 50.0% | rising |
| 71 | Lebanon | 12 1000 t | 2023 | down 20.0% | falling |
| 73 | Austria | 11 1000 t | 2023 | down 31.2% | falling |
| 73 | Bosnia and Herzegovina | 11 1000 t | 2023 | up 37.5% | rising |
| 73 | Finland | 11 1000 t | 2023 | down 15.4% | rising |
| 73 | Honduras | 11 1000 t | 2023 | down 15.4% | flat |
| 73 | Kyrgyzstan | 11 1000 t | 2023 | — | volatile |
| 73 | Lithuania | 11 1000 t | 2023 | down 35.3% | falling |
| 73 | Melanesia | 11 1000 t | 2023 | up 10.0% | rising |
| 80 | Angola | 10 1000 t | 2023 | up 42.9% | volatile |
| 80 | Switzerland | 10 1000 t | 2023 | up 233.3% | rising |
| 80 | Estonia | 10 1000 t | 2023 | up 100.0% | rising |
| 80 | Haiti | 10 1000 t | 2023 | up 25.0% | rising |
| 80 | Democratic Republic of the Congo | 10 1000 t | 2023 | up 25.0% | rising |
| 85 | Belarus | 8 1000 t | 2023 | down 11.1% | volatile |
| 85 | Fiji | 8 1000 t | 2023 | down 11.1% | rising |
| 85 | Jamaica | 8 1000 t | 2023 | down 11.1% | flat |
| 85 | Norway | 8 1000 t | 2023 | down 27.3% | flat |
| 89 | Guatemala | 7 1000 t | 2023 | down 74.1% | volatile |
| 89 | North Macedonia | 7 1000 t | 2023 | up 250.0% | volatile |
| 89 | Republic of Moldova | 7 1000 t | 2023 | up 133.3% | volatile |
| 92 | Albania | 6 1000 t | 2023 | up 20.0% | falling |
| 92 | Armenia | 6 1000 t | 2023 | down 14.3% | falling |
| 92 | Australia | 6 1000 t | 2023 | unchanged | falling |
| 92 | Denmark | 6 1000 t | 2023 | down 50.0% | falling |
| 92 | Nigeria | 6 1000 t | 2023 | — | volatile |
| 92 | Panama | 6 1000 t | 2023 | down 50.0% | rising |
| 92 | Turkmenistan | 6 1000 t | 2023 | down 53.8% | volatile |
| 92 | Australia and New Zealand | 6 1000 t | 2023 | unchanged | falling |
| 100 | Gabon | 5 1000 t | 2023 | unchanged | rising |
| 100 | Guyana | 5 1000 t | 2023 | up 25.0% | rising |
| 100 | Montenegro | 5 1000 t | 2023 | up 25.0% | rising |
| 100 | Suriname | 5 1000 t | 2023 | unchanged | rising |
| 100 | Eswatini | 5 1000 t | 2023 | up 25.0% | volatile |
| 100 | Iran (Islamic Republic of) | 5 1000 t | 2023 | — | volatile |
| 100 | Democratic People's Republic of Korea | 5 1000 t | 2018 | — | volatile |
| 107 | Bhutan | 4 1000 t | 2023 | — | rising |
| 107 | Cyprus | 4 1000 t | 2023 | up 33.3% | rising |
| 107 | Guinea-Bissau | 4 1000 t | 2023 | unchanged | rising |
| 107 | Libya | 4 1000 t | 2023 | down 85.7% | volatile |
| 107 | China, Macao SAR | 4 1000 t | 2023 | up 100.0% | rising |
| 112 | Bahamas | 3 1000 t | 2023 | up 200.0% | volatile |
| 112 | Comoros | 3 1000 t | 2023 | up 50.0% | rising |
| 112 | Luxembourg | 3 1000 t | 2023 | unchanged | flat |
| 112 | Namibia | 3 1000 t | 2023 | down 25.0% | volatile |
| 112 | Cabo Verde | 3 1000 t | 2023 | up 50.0% | rising |
| 112 | China, Hong Kong SAR | 3 1000 t | 2023 | down 83.3% | volatile |
| 118 | Azerbaijan | 2 1000 t | 2023 | down 66.7% | volatile |
| 118 | Barbados | 2 1000 t | 2023 | unchanged | flat |
| 118 | Costa Rica | 2 1000 t | 2023 | up 100.0% | volatile |
| 118 | Iceland | 2 1000 t | 2023 | unchanged | flat |
| 118 | Malta | 2 1000 t | 2023 | — | volatile |
| 118 | Papua New Guinea | 2 1000 t | 2023 | up 100.0% | volatile |
| 118 | Seychelles | 2 1000 t | 2023 | unchanged | rising |
| 118 | Zambia | 2 1000 t | 2022 | down 71.4% | volatile |
| 118 | Polynesia | 2 1000 t | 2023 | down 33.3% | rising |
| 118 | Bolivia (Plurinational State of) | 2 1000 t | 2023 | down 60.0% | volatile |
| 128 | Antigua and Barbuda | 1 1000 t | 2023 | — | volatile |
| 128 | Belize | 1 1000 t | 2023 | unchanged | rising |
| 128 | Cameroon | 1 1000 t | 2023 | down 80.0% | falling |
| 128 | Grenada | 1 1000 t | 2023 | — | volatile |
| 128 | Saint Lucia | 1 1000 t | 2023 | unchanged | flat |
| 128 | Uruguay | 1 1000 t | 2019 | — | volatile |
| 128 | Samoa | 1 1000 t | 2023 | unchanged | rising |
| 128 | China, mainland | 1 1000 t | 2023 | — | volatile |
| 128 | Lao People's Democratic Republic | 1 1000 t | 2023 | — | volatile |
| 137 | Argentina | 0 1000 t | 2023 | down 100.0% | volatile |
| 137 | Botswana | 0 1000 t | 2023 | down 100.0% | falling |
| 137 | Cuba | 0 1000 t | 2019 | down 100.0% | volatile |
| 137 | Algeria | 0 1000 t | 2023 | — | flat |
| 137 | Ecuador | 0 1000 t | 2023 | down 100.0% | volatile |
| 137 | Egypt | 0 1000 t | 2022 | — | volatile |
| 137 | Jordan | 0 1000 t | 2023 | down 100.0% | volatile |
| 137 | Kenya | 0 1000 t | 2023 | down 100.0% | volatile |
| 137 | Cambodia | 0 1000 t | 2023 | — | volatile |
| 137 | Kiribati | 0 1000 t | 2023 | — | flat |
| 137 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 137 | Liberia | 0 1000 t | 2021 | — | flat |
| 137 | Lesotho | 0 1000 t | 2023 | — | flat |
| 137 | Morocco | 0 1000 t | 2023 | — | flat |
| 137 | Madagascar | 0 1000 t | 2023 | — | flat |
| 137 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 137 | Myanmar | 0 1000 t | 2019 | — | volatile |
| 137 | Malawi | 0 1000 t | 2023 | — | flat |
| 137 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 137 | Nauru | 0 1000 t | 2023 | — | flat |
| 137 | Peru | 0 1000 t | 2014 | — | flat |
| 137 | French Polynesia | 0 1000 t | 2023 | down 100.0% | falling |
| 137 | Rwanda | 0 1000 t | 2023 | down 100.0% | volatile |
| 137 | Solomon Islands | 0 1000 t | 2023 | — | volatile |
| 137 | Sao Tome and Principe | 0 1000 t | 2023 | down 100.0% | volatile |
| 137 | Tajikistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 137 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 137 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 137 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | volatile |
| 137 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 137 | Yemen | 0 1000 t | 2023 | — | volatile |
| 137 | Zimbabwe | 0 1000 t | 2020 | down 100.0% | volatile |
| 137 | Micronesia | 0 1000 t | 2023 | — | flat |
| 137 | Timor-Leste | 0 1000 t | 2023 | down 100.0% | volatile |
| 137 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2021 | down 100.0% | volatile |
| 137 | Türkiye | 0 1000 t | 2023 | down 100.0% | volatile |
| 137 | United Republic of Tanzania | 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 9,127 1000 t
- Asia 4,821 1000 t
- Net Food Importing Developing Countries (NFIDCs) 2,502 1000 t
- Europe 2,431 1000 t
- Southern Asia 1,782 1000 t
- European Union (27) 1,699 1000 t
- Least Developed Countries (LDCs) 1,656 1000 t
- South-eastern Asia 1,243 1000 t
- Americas 1,164 1000 t
- Western Asia 1,084 1000 t
- Northern America 853 1000 t
- Low Income Food Deficit Countries (LIFDCs) 836 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.