Oilcrops Oil, Other — 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...
Countries reporting
184
Highest
4,146 1000 t
Netherlands (Kingdom of the)
Lowest
0 1000 t
Zambia
Median
11 1000 t
Years covered
14
2010–2023
Data points
3,046
What the numbers show
Oilcrops Oil, Other — Import quantity is currently reported for 184 countries. The highest value is 4,146 1000 t in Netherlands (Kingdom of the); the lowest is 0 1000 t in Zambia.
The median across all reporting countries is 11 1000 t, and the mean is 100.84 1000 t.
Over the past decade 77 countries rose and 74 fell. The largest increase was in Ecuador (up 750.0%), and the largest decrease in French Polynesia (down 100.0%).
Oilcrops Oil, Other — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Netherlands (Kingdom of the) | 4,146 1000 t | 2023 | up 148.7% | rising |
| 2 | China | 1,262 1000 t | 2023 | up 161.8% | rising |
| 3 | Malaysia | 1,215 1000 t | 2023 | up 282.1% | rising |
| 4 | United States | 1,176 1000 t | 2023 | up 237.0% | rising |
| 5 | China, mainland | 1,173 1000 t | 2023 | up 223.1% | rising |
| 6 | Italy | 1,003 1000 t | 2023 | up 184.1% | rising |
| 7 | Spain | 651 1000 t | 2023 | up 385.8% | volatile |
| 8 | France | 631 1000 t | 2023 | up 30.1% | rising |
| 9 | Germany | 615 1000 t | 2023 | down 13.1% | flat |
| 10 | Poland | 490 1000 t | 2023 | up 126.9% | rising |
| 11 | Sweden | 454 1000 t | 2023 | up 65.7% | rising |
| 12 | Belgium | 327 1000 t | 2023 | up 38.6% | rising |
| 13 | Denmark | 316 1000 t | 2023 | up 38.0% | rising |
| 14 | Republic of Korea | 278 1000 t | 2023 | up 113.8% | rising |
| 15 | Austria | 269 1000 t | 2023 | up 138.1% | rising |
| 16 | Chile | 199 1000 t | 2023 | up 114.0% | rising |
| 17 | Turkey | 194 1000 t | 2023 | up 88.3% | rising |
| 17 | Türkiye | 194 1000 t | 2023 | up 88.3% | rising |
| 19 | Australia and New Zealand | 154 1000 t | 2023 | up 77.0% | rising |
| 20 | Vietnam | 151 1000 t | 2023 | up 235.6% | volatile |
| 20 | Viet Nam | 151 1000 t | 2023 | up 235.6% | volatile |
| 22 | Australia | 142 1000 t | 2023 | up 102.9% | rising |
| 23 | Canada | 140 1000 t | 2023 | down 7.9% | falling |
| 24 | United Republic of Tanzania | 127 1000 t | 2023 | up 202.4% | volatile |
| 25 | Finland | 101 1000 t | 2023 | up 461.1% | volatile |
| 26 | Algeria | 97 1000 t | 2023 | down 2.0% | rising |
| 27 | United Kingdom | 95 1000 t | 2023 | down 27.5% | falling |
| 27 | United Kingdom of Great Britain and Northern Ireland | 95 1000 t | 2023 | down 27.5% | falling |
| 29 | Slovakia | 93 1000 t | 2023 | up 447.1% | volatile |
| 30 | Russia | 90 1000 t | 2023 | down 41.6% | falling |
| 30 | Russian Federation | 90 1000 t | 2023 | down 41.6% | falling |
| 32 | India | 88 1000 t | 2023 | up 151.4% | volatile |
| 33 | Norway | 84 1000 t | 2023 | up 320.0% | volatile |
| 34 | Nigeria | 79 1000 t | 2023 | down 3.7% | falling |
| 35 | Portugal | 77 1000 t | 2023 | up 126.5% | rising |
| 36 | Lithuania | 75 1000 t | 2023 | up 158.6% | rising |
| 37 | Saudi Arabia | 74 1000 t | 2023 | down 27.5% | falling |
| 38 | China, Taiwan Province of | 72 1000 t | 2023 | down 28.0% | falling |
| 39 | Caribbean | 62 1000 t | 2023 | down 23.5% | falling |
| 40 | Brazil | 61 1000 t | 2023 | down 21.8% | falling |
| 41 | Uzbekistan | 60 1000 t | 2023 | up 328.6% | volatile |
| 42 | Bulgaria | 53 1000 t | 2023 | up 130.4% | rising |
| 43 | Bangladesh | 51 1000 t | 2023 | up 41.7% | rising |
| 43 | Egypt | 51 1000 t | 2023 | up 8.5% | flat |
| 45 | Gambia | 50 1000 t | 2023 | up 19.0% | rising |
| 46 | Switzerland | 49 1000 t | 2023 | up 14.0% | rising |
| 47 | Indonesia | 48 1000 t | 2023 | down 48.9% | volatile |
| 48 | Ireland | 43 1000 t | 2023 | up 186.7% | rising |
| 49 | Djibouti | 41 1000 t | 2023 | up 64.0% | rising |
| 50 | Greece | 39 1000 t | 2023 | down 4.9% | falling |
| 50 | Philippines | 39 1000 t | 2023 | up 21.9% | flat |
| 52 | Ghana | 38 1000 t | 2023 | up 15.2% | rising |
| 53 | Czechia | 37 1000 t | 2023 | up 94.7% | rising |
| 54 | Iraq | 35 1000 t | 2023 | down 87.3% | volatile |
| 54 | Iran (Islamic Republic of) | 35 1000 t | 2023 | up 16.7% | rising |
| 56 | Romania | 33 1000 t | 2023 | up 13.8% | rising |
| 57 | United Arab Emirates | 32 1000 t | 2023 | down 34.7% | falling |
| 58 | Cuba | 29 1000 t | 2019 | up 93.3% | rising |
| 59 | Afghanistan | 28 1000 t | 2023 | down 93.5% | volatile |
| 59 | El Salvador | 28 1000 t | 2023 | up 7.7% | flat |
| 61 | Ukraine | 27 1000 t | 2023 | unchanged | rising |
| 61 | Venezuela (Bolivarian Republic of) | 27 1000 t | 2023 | down 64.9% | volatile |
| 63 | Guatemala | 26 1000 t | 2023 | down 39.5% | falling |
| 63 | Mexico | 26 1000 t | 2023 | up 73.3% | rising |
| 65 | Kenya | 25 1000 t | 2023 | up 257.1% | volatile |
| 66 | Argentina | 24 1000 t | 2023 | unchanged | rising |
| 67 | Estonia | 23 1000 t | 2023 | up 43.8% | rising |
| 67 | Israel | 23 1000 t | 2023 | down 14.8% | falling |
| 67 | Kazakhstan | 23 1000 t | 2023 | down 8.0% | falling |
| 67 | Tunisia | 23 1000 t | 2023 | up 91.7% | flat |
| 71 | Senegal | 22 1000 t | 2023 | up 29.4% | rising |
| 71 | Tajikistan | 22 1000 t | 2023 | up 144.4% | rising |
| 73 | Thailand | 21 1000 t | 2023 | down 22.2% | falling |
| 74 | Uruguay | 20 1000 t | 2023 | down 23.1% | flat |
| 75 | Dominican Republic | 19 1000 t | 2023 | up 90.0% | rising |
| 75 | Latvia | 19 1000 t | 2023 | down 5.0% | rising |
| 77 | Madagascar | 18 1000 t | 2023 | down 18.2% | falling |
| 78 | Ecuador | 17 1000 t | 2023 | up 750.0% | volatile |
| 78 | South Africa | 17 1000 t | 2023 | down 22.7% | falling |
| 80 | China, Hong Kong SAR | 16 1000 t | 2023 | down 5.9% | rising |
| 81 | Serbia | 15 1000 t | 2023 | up 87.5% | rising |
| 82 | Bahrain | 12 1000 t | 2023 | — | flat |
| 82 | Honduras | 12 1000 t | 2023 | down 33.3% | falling |
| 82 | Jordan | 12 1000 t | 2023 | up 9.1% | rising |
| 82 | Kuwait | 12 1000 t | 2023 | down 50.0% | falling |
| 82 | New Zealand | 12 1000 t | 2023 | down 29.4% | rising |
| 82 | Zimbabwe | 12 1000 t | 2023 | down 14.3% | falling |
| 82 | Melanesia | 12 1000 t | 2023 | up 71.4% | rising |
| 89 | Angola | 11 1000 t | 2023 | down 59.3% | falling |
| 89 | Colombia | 11 1000 t | 2023 | down 66.7% | falling |
| 89 | Georgia | 11 1000 t | 2023 | down 15.4% | flat |
| 89 | Syria | 11 1000 t | 2023 | down 82.5% | volatile |
| 89 | Syrian Arab Republic | 11 1000 t | 2023 | down 82.5% | volatile |
| 94 | Croatia | 10 1000 t | 2023 | up 25.0% | rising |
| 94 | Democratic Republic of the Congo | 10 1000 t | 2023 | down 41.2% | volatile |
| 96 | Namibia | 9 1000 t | 2023 | up 80.0% | falling |
| 96 | Nepal | 9 1000 t | 2023 | down 72.7% | falling |
| 96 | Peru | 9 1000 t | 2023 | up 80.0% | volatile |
| 99 | Hungary | 8 1000 t | 2023 | up 166.7% | volatile |
| 99 | Lebanon | 8 1000 t | 2023 | down 11.1% | flat |
| 99 | Morocco | 8 1000 t | 2023 | up 100.0% | volatile |
| 99 | Maldives | 8 1000 t | 2023 | up 33.3% | rising |
| 99 | Myanmar | 8 1000 t | 2023 | down 57.9% | volatile |
| 99 | Mongolia | 8 1000 t | 2023 | up 60.0% | rising |
| 99 | Nicaragua | 8 1000 t | 2023 | down 20.0% | falling |
| 99 | Trinidad and Tobago | 8 1000 t | 2023 | up 33.3% | rising |
| 107 | Burkina Faso | 7 1000 t | 2023 | down 36.4% | falling |
| 107 | Bosnia and Herzegovina | 7 1000 t | 2023 | down 46.2% | volatile |
| 107 | Fiji | 7 1000 t | 2023 | up 250.0% | volatile |
| 107 | Libya | 7 1000 t | 2023 | down 22.2% | flat |
| 107 | Turkmenistan | 7 1000 t | 2023 | down 30.0% | flat |
| 112 | Armenia | 6 1000 t | 2023 | down 33.3% | falling |
| 112 | Belize | 6 1000 t | 2023 | up 200.0% | volatile |
| 112 | Guinea | 6 1000 t | 2023 | up 20.0% | rising |
| 112 | Guyana | 6 1000 t | 2023 | down 25.0% | falling |
| 112 | Kyrgyzstan | 6 1000 t | 2023 | unchanged | rising |
| 117 | Albania | 5 1000 t | 2023 | unchanged | falling |
| 117 | Cote d'Ivoire | 5 1000 t | 2023 | down 76.2% | volatile |
| 117 | Costa Rica | 5 1000 t | 2023 | down 44.4% | falling |
| 117 | Haiti | 5 1000 t | 2023 | down 82.8% | falling |
| 117 | Laos | 5 1000 t | 2023 | — | volatile |
| 117 | Moldova | 5 1000 t | 2023 | up 25.0% | rising |
| 117 | North Macedonia | 5 1000 t | 2023 | down 16.7% | falling |
| 117 | Mozambique | 5 1000 t | 2023 | up 150.0% | volatile |
| 117 | Panama | 5 1000 t | 2023 | unchanged | rising |
| 117 | Rwanda | 5 1000 t | 2023 | down 80.8% | falling |
| 117 | Slovenia | 5 1000 t | 2023 | up 66.7% | rising |
| 117 | Republic of Moldova | 5 1000 t | 2023 | up 25.0% | rising |
| 117 | Côte d'Ivoire | 5 1000 t | 2023 | down 76.2% | volatile |
| 117 | Lao People's Democratic Republic | 5 1000 t | 2023 | — | volatile |
| 131 | Azerbaijan | 4 1000 t | 2023 | up 300.0% | volatile |
| 131 | Bhutan | 4 1000 t | 2023 | — | rising |
| 131 | Botswana | 4 1000 t | 2023 | up 33.3% | flat |
| 131 | Congo | 4 1000 t | 2023 | up 33.3% | volatile |
| 131 | Cyprus | 4 1000 t | 2023 | up 33.3% | flat |
| 131 | Gabon | 4 1000 t | 2023 | unchanged | falling |
| 131 | Niger | 4 1000 t | 2023 | down 76.5% | volatile |
| 131 | Oman | 4 1000 t | 2023 | down 55.6% | flat |
| 131 | Paraguay | 4 1000 t | 2023 | down 33.3% | rising |
| 140 | Bahamas | 3 1000 t | 2023 | down 25.0% | flat |
| 140 | Barbados | 3 1000 t | 2023 | down 25.0% | falling |
| 140 | Cameroon | 3 1000 t | 2023 | down 70.0% | rising |
| 140 | Ethiopia | 3 1000 t | 2023 | down 82.4% | volatile |
| 140 | Guinea-Bissau | 3 1000 t | 2023 | up 50.0% | volatile |
| 140 | Jamaica | 3 1000 t | 2023 | down 25.0% | volatile |
| 140 | Liberia | 3 1000 t | 2023 | up 50.0% | flat |
| 140 | Lesotho | 3 1000 t | 2023 | up 200.0% | volatile |
| 140 | Mauritius | 3 1000 t | 2023 | down 40.0% | falling |
| 140 | Pakistan | 3 1000 t | 2023 | down 86.4% | volatile |
| 140 | Papua New Guinea | 3 1000 t | 2023 | unchanged | rising |
| 140 | Qatar | 3 1000 t | 2023 | — | falling |
| 140 | Democratic People's Republic of Korea | 3 1000 t | 2018 | up 50.0% | volatile |
| 153 | Belarus | 2 1000 t | 2023 | down 88.2% | falling |
| 153 | Iceland | 2 1000 t | 2023 | unchanged | flat |
| 153 | Sri Lanka | 2 1000 t | 2023 | down 83.3% | volatile |
| 153 | Luxembourg | 2 1000 t | 2023 | down 33.3% | falling |
| 153 | Malta | 2 1000 t | 2023 | unchanged | flat |
| 153 | Mauritania | 2 1000 t | 2023 | down 50.0% | falling |
| 153 | Sierra Leone | 2 1000 t | 2023 | down 33.3% | falling |
| 153 | Eswatini | 2 1000 t | 2023 | — | volatile |
| 153 | Cabo Verde | 2 1000 t | 2023 | unchanged | rising |
| 162 | Antigua and Barbuda | 1 1000 t | 2023 | unchanged | falling |
| 162 | Grenada | 1 1000 t | 2023 | — | volatile |
| 162 | Cambodia | 1 1000 t | 2023 | — | volatile |
| 162 | Saint Lucia | 1 1000 t | 2023 | unchanged | flat |
| 162 | Montenegro | 1 1000 t | 2023 | down 50.0% | falling |
| 162 | New Caledonia | 1 1000 t | 2023 | unchanged | flat |
| 162 | Suriname | 1 1000 t | 2023 | unchanged | flat |
| 162 | Seychelles | 1 1000 t | 2023 | unchanged | volatile |
| 162 | East Timor | 1 1000 t | 2023 | unchanged | volatile |
| 162 | Saint Vincent and the Grenadines | 1 1000 t | 2023 | unchanged | falling |
| 162 | Yemen | 1 1000 t | 2023 | down 85.7% | volatile |
| 162 | Timor-Leste | 1 1000 t | 2023 | unchanged | volatile |
| 162 | Polynesia | 1 1000 t | 2023 | unchanged | rising |
| 162 | China, Macao SAR | 1 1000 t | 2023 | unchanged | flat |
| 176 | Comoros | 0 1000 t | 2023 | — | volatile |
| 176 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | volatile |
| 176 | Malawi | 0 1000 t | 2023 | — | volatile |
| 176 | French Polynesia | 0 1000 t | 2023 | down 100.0% | falling |
| 176 | Solomon Islands | 0 1000 t | 2023 | down 100.0% | volatile |
| 176 | Uganda | 0 1000 t | 2023 | down 100.0% | volatile |
| 176 | Vanuatu | 0 1000 t | 2023 | — | volatile |
| 176 | Samoa | 0 1000 t | 2023 | — | volatile |
| 176 | Zambia | 0 1000 t | 2023 | down 100.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 16,635 1000 t
- Europe 9,910 1000 t
- European Union (27) 9,526 1000 t
- Western Europe 6,039 1000 t
- Asia 3,925 1000 t
- Americas 1,873 1000 t
- Southern Europe 1,820 1000 t
- Eastern Asia 1,642 1000 t
- South-Eastern Asia 1,489 1000 t
- Northern America 1,315 1000 t
- Northern Europe 1,212 1000 t
- United States of America 1,176 1000 t
- Eastern Europe 839 1000 t
- Net Food Importing Developing Countries (NFIDCs) 774 1000 t
- Africa 759 1000 t
- Low Income Food Deficit Countries (LIFDCs) 505 1000 t
- Least Developed Countries (LDCs) 472 1000 t
- Western Asia 449 1000 t
- South America 379 1000 t
- Eastern Africa 254 1000 t
- Land Locked Developing Countries (LLDCs) 249 1000 t
- Western Africa 228 1000 t
- Southern Asia 228 1000 t
- Northern Africa 208 1000 t
- Oceania 167 1000 t
- Central Asia 118 1000 t
- Central America 116 1000 t
- Small island developing States (SIDS) 109 1000 t
- Southern Africa 35 1000 t
- Middle Africa 33 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.