Olive Oil — 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
Olive Oil — Import quantity is currently reported for 179 countries. The highest value is 438 1000 t in Italy; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 1 1000 t, and the mean is 10.15 1000 t.
Over the past decade 38 countries rose and 29 fell. The largest increase was in Ecuador (up 300.0%), and the largest decrease in Bahamas (down 100.0%).
Olive Oil — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Italy | 438 1000 t | 2023 | down 8.9% | falling |
| 2 | Spain | 294 1000 t | 2023 | up 72.9% | rising |
| 3 | Portugal | 118 1000 t | 2023 | down 0.8% | rising |
| 4 | France | 116 1000 t | 2023 | up 2.7% | rising |
| 5 | Brazil | 80 1000 t | 2023 | up 9.6% | rising |
| 6 | Germany | 68 1000 t | 2023 | up 1.5% | rising |
| 6 | United Kingdom of Great Britain and Northern Ireland | 68 1000 t | 2023 | up 3.0% | rising |
| 8 | Türkiye | 63 1000 t | 2023 | — | volatile |
| 9 | Canada | 46 1000 t | 2023 | up 24.3% | rising |
| 10 | China | 37 1000 t | 2023 | down 28.8% | rising |
| 11 | Australia and New Zealand | 30 1000 t | 2023 | down 6.2% | flat |
| 12 | Australia | 25 1000 t | 2023 | down 7.4% | flat |
| 12 | China, mainland | 25 1000 t | 2023 | down 37.5% | rising |
| 14 | Saudi Arabia | 23 1000 t | 2023 | up 15.0% | rising |
| 15 | Mexico | 22 1000 t | 2023 | up 37.5% | rising |
| 15 | Netherlands (Kingdom of the) | 22 1000 t | 2023 | up 22.2% | rising |
| 17 | Burkina Faso | 21 1000 t | 2023 | — | volatile |
| 18 | United Arab Emirates | 16 1000 t | 2023 | up 100.0% | rising |
| 18 | Switzerland | 16 1000 t | 2023 | up 14.3% | rising |
| 18 | Poland | 16 1000 t | 2023 | up 60.0% | rising |
| 18 | Republic of Korea | 16 1000 t | 2023 | up 33.3% | rising |
| 22 | Belgium | 15 1000 t | 2023 | down 25.0% | rising |
| 23 | Russian Federation | 14 1000 t | 2023 | down 56.2% | falling |
| 24 | Austria | 10 1000 t | 2023 | up 11.1% | rising |
| 24 | India | 10 1000 t | 2023 | down 16.7% | volatile |
| 24 | Morocco | 10 1000 t | 2023 | unchanged | rising |
| 24 | Sweden | 10 1000 t | 2023 | up 11.1% | rising |
| 28 | Colombia | 8 1000 t | 2023 | up 100.0% | rising |
| 28 | Israel | 8 1000 t | 2023 | up 100.0% | rising |
| 28 | China, Taiwan Province of | 8 1000 t | 2023 | up 14.3% | rising |
| 31 | Denmark | 7 1000 t | 2023 | unchanged | rising |
| 32 | Romania | 6 1000 t | 2023 | up 20.0% | rising |
| 33 | Czechia | 5 1000 t | 2023 | unchanged | falling |
| 33 | Iraq | 5 1000 t | 2023 | up 150.0% | rising |
| 33 | Kuwait | 5 1000 t | 2023 | up 25.0% | rising |
| 33 | New Zealand | 5 1000 t | 2023 | unchanged | rising |
| 33 | Philippines | 5 1000 t | 2023 | up 150.0% | rising |
| 33 | Caribbean | 5 1000 t | 2023 | up 25.0% | rising |
| 33 | Venezuela (Bolivarian Republic of) | 5 1000 t | 2023 | unchanged | volatile |
| 40 | Bulgaria | 4 1000 t | 2023 | up 33.3% | rising |
| 40 | Ecuador | 4 1000 t | 2023 | up 300.0% | volatile |
| 40 | Greece | 4 1000 t | 2023 | down 33.3% | volatile |
| 40 | Croatia | 4 1000 t | 2023 | up 100.0% | rising |
| 40 | Hungary | 4 1000 t | 2023 | up 33.3% | rising |
| 40 | Ireland | 4 1000 t | 2023 | down 33.3% | falling |
| 40 | Norway | 4 1000 t | 2023 | unchanged | rising |
| 40 | Thailand | 4 1000 t | 2023 | down 20.0% | rising |
| 48 | Costa Rica | 3 1000 t | 2023 | up 50.0% | rising |
| 48 | Dominican Republic | 3 1000 t | 2023 | up 50.0% | rising |
| 48 | Finland | 3 1000 t | 2023 | down 25.0% | flat |
| 48 | Oman | 3 1000 t | 2023 | up 50.0% | rising |
| 48 | Qatar | 3 1000 t | 2023 | — | falling |
| 48 | China, Hong Kong SAR | 3 1000 t | 2023 | down 40.0% | falling |
| 54 | Azerbaijan | 2 1000 t | 2023 | up 100.0% | rising |
| 54 | Chile | 2 1000 t | 2023 | up 100.0% | rising |
| 54 | Djibouti | 2 1000 t | 2023 | — | volatile |
| 54 | Guatemala | 2 1000 t | 2023 | up 100.0% | rising |
| 54 | Indonesia | 2 1000 t | 2023 | unchanged | rising |
| 54 | Lithuania | 2 1000 t | 2023 | down 33.3% | flat |
| 54 | Luxembourg | 2 1000 t | 2023 | up 100.0% | rising |
| 54 | Latvia | 2 1000 t | 2023 | unchanged | rising |
| 54 | Malaysia | 2 1000 t | 2023 | down 77.8% | volatile |
| 54 | Pakistan | 2 1000 t | 2023 | unchanged | rising |
| 54 | Panama | 2 1000 t | 2023 | up 100.0% | rising |
| 54 | El Salvador | 2 1000 t | 2023 | up 100.0% | rising |
| 54 | Serbia | 2 1000 t | 2023 | up 100.0% | volatile |
| 54 | Slovakia | 2 1000 t | 2023 | unchanged | rising |
| 54 | Slovenia | 2 1000 t | 2023 | unchanged | rising |
| 54 | Seychelles | 2 1000 t | 2023 | down 33.3% | falling |
| 54 | Tunisia | 2 1000 t | 2023 | — | volatile |
| 54 | Ukraine | 2 1000 t | 2023 | down 60.0% | falling |
| 54 | Cabo Verde | 2 1000 t | 2023 | up 100.0% | rising |
| 54 | Viet Nam | 2 1000 t | 2023 | — | volatile |
| 74 | Angola | 1 1000 t | 2023 | down 75.0% | falling |
| 74 | Albania | 1 1000 t | 2023 | unchanged | falling |
| 74 | Bahrain | 1 1000 t | 2023 | — | falling |
| 74 | Bosnia and Herzegovina | 1 1000 t | 2023 | unchanged | flat |
| 74 | Belarus | 1 1000 t | 2023 | unchanged | rising |
| 74 | Belize | 1 1000 t | 2023 | — | volatile |
| 74 | Estonia | 1 1000 t | 2023 | unchanged | rising |
| 74 | Ethiopia | 1 1000 t | 2023 | — | volatile |
| 74 | Georgia | 1 1000 t | 2023 | — | volatile |
| 74 | Ghana | 1 1000 t | 2023 | unchanged | rising |
| 74 | Honduras | 1 1000 t | 2023 | — | volatile |
| 74 | Iceland | 1 1000 t | 2023 | — | volatile |
| 74 | Kazakhstan | 1 1000 t | 2023 | unchanged | rising |
| 74 | Kenya | 1 1000 t | 2023 | — | volatile |
| 74 | Maldives | 1 1000 t | 2023 | unchanged | volatile |
| 74 | North Macedonia | 1 1000 t | 2023 | unchanged | rising |
| 74 | Malta | 1 1000 t | 2023 | unchanged | flat |
| 74 | Mozambique | 1 1000 t | 2023 | unchanged | rising |
| 74 | Nigeria | 1 1000 t | 2023 | unchanged | falling |
| 74 | Nicaragua | 1 1000 t | 2023 | — | volatile |
| 74 | Peru | 1 1000 t | 2023 | — | volatile |
| 74 | Uruguay | 1 1000 t | 2023 | unchanged | flat |
| 74 | Uzbekistan | 1 1000 t | 2023 | — | volatile |
| 74 | Yemen | 1 1000 t | 2023 | down 50.0% | falling |
| 74 | Melanesia | 1 1000 t | 2023 | unchanged | rising |
| 74 | Côte d'Ivoire | 1 1000 t | 2023 | — | volatile |
| 100 | Afghanistan | 0 1000 t | 2023 | — | flat |
| 100 | Argentina | 0 1000 t | 2023 | — | volatile |
| 100 | Armenia | 0 1000 t | 2023 | — | volatile |
| 100 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 100 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 100 | Bahamas | 0 1000 t | 2023 | down 100.0% | volatile |
| 100 | Barbados | 0 1000 t | 2023 | — | flat |
| 100 | Bhutan | 0 1000 t | 2023 | — | flat |
| 100 | Botswana | 0 1000 t | 2023 | — | flat |
| 100 | Cameroon | 0 1000 t | 2023 | — | flat |
| 100 | Congo | 0 1000 t | 2023 | — | flat |
| 100 | Comoros | 0 1000 t | 2023 | — | flat |
| 100 | Cuba | 0 1000 t | 2019 | — | volatile |
| 100 | Cyprus | 0 1000 t | 2023 | down 100.0% | falling |
| 100 | Algeria | 0 1000 t | 2023 | — | volatile |
| 100 | Egypt | 0 1000 t | 2023 | down 100.0% | volatile |
| 100 | Fiji | 0 1000 t | 2023 | down 100.0% | volatile |
| 100 | Gabon | 0 1000 t | 2023 | — | flat |
| 100 | Guinea | 0 1000 t | 2023 | — | flat |
| 100 | Gambia | 0 1000 t | 2023 | — | flat |
| 100 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 100 | Grenada | 0 1000 t | 2023 | — | flat |
| 100 | Guyana | 0 1000 t | 2023 | — | flat |
| 100 | Haiti | 0 1000 t | 2023 | — | flat |
| 100 | Jamaica | 0 1000 t | 2023 | — | flat |
| 100 | Jordan | 0 1000 t | 2023 | — | flat |
| 100 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 100 | Cambodia | 0 1000 t | 2023 | — | volatile |
| 100 | Kiribati | 0 1000 t | 2023 | — | flat |
| 100 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 100 | Lebanon | 0 1000 t | 2023 | down 100.0% | volatile |
| 100 | Liberia | 0 1000 t | 2023 | — | flat |
| 100 | Libya | 0 1000 t | 2023 | — | volatile |
| 100 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 100 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 100 | Lesotho | 0 1000 t | 2023 | — | flat |
| 100 | Madagascar | 0 1000 t | 2023 | — | volatile |
| 100 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 100 | Myanmar | 0 1000 t | 2023 | — | flat |
| 100 | Montenegro | 0 1000 t | 2023 | — | volatile |
| 100 | Mongolia | 0 1000 t | 2023 | — | volatile |
| 100 | Mauritania | 0 1000 t | 2023 | — | volatile |
| 100 | Mauritius | 0 1000 t | 2023 | down 100.0% | falling |
| 100 | Malawi | 0 1000 t | 2023 | — | flat |
| 100 | Namibia | 0 1000 t | 2023 | — | volatile |
| 100 | New Caledonia | 0 1000 t | 2023 | — | volatile |
| 100 | Niger | 0 1000 t | 2023 | — | flat |
| 100 | Nepal | 0 1000 t | 2023 | — | flat |
| 100 | Papua New Guinea | 0 1000 t | 2023 | — | volatile |
| 100 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 100 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 100 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 100 | Senegal | 0 1000 t | 2023 | — | volatile |
| 100 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 100 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 100 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 100 | Suriname | 0 1000 t | 2023 | — | flat |
| 100 | Eswatini | 0 1000 t | 2023 | — | flat |
| 100 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 100 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 100 | Tonga | 0 1000 t | 2023 | — | flat |
| 100 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 100 | Uganda | 0 1000 t | 2023 | — | flat |
| 100 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 100 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 100 | Samoa | 0 1000 t | 2023 | — | flat |
| 100 | Zambia | 0 1000 t | 2023 | — | volatile |
| 100 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 100 | Micronesia | 0 1000 t | 2023 | — | flat |
| 100 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 100 | Polynesia | 0 1000 t | 2023 | — | flat |
| 100 | Democratic Republic of the Congo | 0 1000 t | 2023 | down 100.0% | volatile |
| 100 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | volatile |
| 100 | Iran (Islamic Republic of) | 0 1000 t | 2023 | down 100.0% | falling |
| 100 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 100 | Syrian Arab Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 100 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 100 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 100 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | flat |
| 100 | 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 2,174 1000 t
- Europe 1,270 1000 t
- European Union (27) 1,160 1000 t
- Southern Europe 866 1000 t
- Americas 546 1000 t
- Northern America 407 1000 t
- United States of America 361 1000 t
- Asia 269 1000 t
- Western Europe 248 1000 t
- Western Asia 131 1000 t
- Eastern Asia 105 1000 t
- South America 102 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.