Olive Oil — Food 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 — Food is currently reported for 180 countries. The highest value is 510 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 14.28 1000 t.
Over the past decade 37 countries rose and 29 fell. The largest increase was in Colombia (up 300.0%), and the largest decrease in Argentina (down 100.0%).
Olive Oil — Food: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Italy | 510 1000 t | 2023 | down 16.1% | falling |
| 2 | Spain | 430 1000 t | 2023 | down 16.2% | falling |
| 3 | Türkiye | 142 1000 t | 2023 | down 5.3% | rising |
| 4 | Morocco | 122 1000 t | 2023 | up 31.2% | rising |
| 5 | France | 105 1000 t | 2023 | down 6.2% | rising |
| 6 | Algeria | 91 1000 t | 2023 | up 37.9% | rising |
| 7 | Greece | 90 1000 t | 2023 | down 40.4% | falling |
| 8 | Syrian Arab Republic | 87 1000 t | 2023 | down 22.3% | falling |
| 9 | Brazil | 80 1000 t | 2023 | up 9.6% | rising |
| 10 | Tunisia | 71 1000 t | 2023 | up 115.2% | rising |
| 11 | Portugal | 62 1000 t | 2023 | down 3.1% | falling |
| 12 | Germany | 60 1000 t | 2023 | down 3.2% | rising |
| 12 | United Kingdom of Great Britain and Northern Ireland | 60 1000 t | 2023 | down 1.6% | rising |
| 14 | Australia and New Zealand | 52 1000 t | 2023 | up 15.6% | rising |
| 15 | Australia | 47 1000 t | 2023 | up 17.5% | rising |
| 16 | Canada | 44 1000 t | 2023 | up 29.4% | rising |
| 17 | Egypt | 35 1000 t | 2023 | up 218.2% | volatile |
| 18 | China | 33 1000 t | 2023 | down 21.4% | rising |
| 19 | Israel | 25 1000 t | 2023 | up 78.6% | rising |
| 20 | Jordan | 24 1000 t | 2023 | up 41.2% | rising |
| 21 | Mexico | 23 1000 t | 2023 | up 76.9% | rising |
| 22 | China, mainland | 22 1000 t | 2023 | down 35.3% | rising |
| 23 | Saudi Arabia | 20 1000 t | 2023 | up 5.3% | rising |
| 24 | Libya | 19 1000 t | 2023 | up 18.8% | rising |
| 25 | Switzerland | 16 1000 t | 2023 | up 14.3% | rising |
| 25 | Republic of Korea | 16 1000 t | 2023 | up 33.3% | rising |
| 27 | United Arab Emirates | 13 1000 t | 2023 | up 160.0% | volatile |
| 27 | Netherlands (Kingdom of the) | 13 1000 t | 2023 | down 13.3% | rising |
| 29 | Lebanon | 12 1000 t | 2023 | down 20.0% | falling |
| 29 | Poland | 12 1000 t | 2023 | up 33.3% | rising |
| 31 | Albania | 10 1000 t | 2023 | unchanged | rising |
| 31 | India | 10 1000 t | 2023 | unchanged | volatile |
| 31 | Russian Federation | 10 1000 t | 2023 | down 63.0% | falling |
| 34 | Austria | 9 1000 t | 2023 | unchanged | rising |
| 34 | Croatia | 9 1000 t | 2023 | up 200.0% | volatile |
| 34 | Sweden | 9 1000 t | 2023 | unchanged | rising |
| 34 | Iran (Islamic Republic of) | 9 1000 t | 2023 | down 52.6% | falling |
| 38 | Colombia | 8 1000 t | 2023 | up 300.0% | volatile |
| 38 | China, Taiwan Province of | 8 1000 t | 2023 | up 100.0% | rising |
| 40 | Belgium | 7 1000 t | 2023 | down 50.0% | falling |
| 40 | Chile | 7 1000 t | 2023 | up 133.3% | volatile |
| 42 | Burkina Faso | 6 1000 t | 2023 | — | volatile |
| 42 | Denmark | 6 1000 t | 2023 | unchanged | rising |
| 42 | Romania | 6 1000 t | 2023 | up 20.0% | rising |
| 45 | Cyprus | 5 1000 t | 2023 | up 150.0% | rising |
| 45 | New Zealand | 5 1000 t | 2023 | down 16.7% | rising |
| 45 | Philippines | 5 1000 t | 2023 | up 150.0% | rising |
| 45 | Caribbean | 5 1000 t | 2023 | up 25.0% | rising |
| 45 | Venezuela (Bolivarian Republic of) | 5 1000 t | 2023 | up 25.0% | volatile |
| 50 | Bulgaria | 4 1000 t | 2023 | up 100.0% | rising |
| 50 | Ireland | 4 1000 t | 2023 | down 33.3% | falling |
| 50 | Norway | 4 1000 t | 2023 | unchanged | rising |
| 50 | Thailand | 4 1000 t | 2023 | unchanged | rising |
| 54 | Costa Rica | 3 1000 t | 2023 | up 200.0% | rising |
| 54 | Czechia | 3 1000 t | 2023 | down 25.0% | falling |
| 54 | Dominican Republic | 3 1000 t | 2023 | up 50.0% | rising |
| 54 | Ecuador | 3 1000 t | 2023 | up 200.0% | volatile |
| 54 | Finland | 3 1000 t | 2023 | unchanged | flat |
| 54 | Hungary | 3 1000 t | 2023 | up 50.0% | rising |
| 54 | Kuwait | 3 1000 t | 2023 | down 25.0% | rising |
| 54 | Qatar | 3 1000 t | 2023 | — | falling |
| 54 | El Salvador | 3 1000 t | 2023 | up 50.0% | rising |
| 54 | China, Hong Kong SAR | 3 1000 t | 2023 | down 25.0% | falling |
| 64 | Indonesia | 2 1000 t | 2023 | up 100.0% | volatile |
| 64 | North Macedonia | 2 1000 t | 2023 | unchanged | flat |
| 64 | Malaysia | 2 1000 t | 2023 | up 100.0% | rising |
| 64 | Oman | 2 1000 t | 2023 | up 100.0% | rising |
| 64 | Pakistan | 2 1000 t | 2023 | unchanged | rising |
| 64 | Panama | 2 1000 t | 2023 | up 100.0% | rising |
| 64 | Slovenia | 2 1000 t | 2023 | unchanged | flat |
| 64 | Ukraine | 2 1000 t | 2023 | down 50.0% | falling |
| 64 | Uruguay | 2 1000 t | 2023 | up 100.0% | rising |
| 64 | Viet Nam | 2 1000 t | 2023 | — | volatile |
| 74 | Afghanistan | 1 1000 t | 2023 | unchanged | flat |
| 74 | Angola | 1 1000 t | 2023 | down 75.0% | falling |
| 74 | Azerbaijan | 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 | flat |
| 74 | Djibouti | 1 1000 t | 2023 | — | volatile |
| 74 | Ethiopia | 1 1000 t | 2023 | — | volatile |
| 74 | Ghana | 1 1000 t | 2023 | unchanged | rising |
| 74 | Guatemala | 1 1000 t | 2023 | unchanged | rising |
| 74 | Iraq | 1 1000 t | 2023 | unchanged | flat |
| 74 | Iceland | 1 1000 t | 2023 | — | volatile |
| 74 | Kazakhstan | 1 1000 t | 2023 | unchanged | flat |
| 74 | Kenya | 1 1000 t | 2023 | — | volatile |
| 74 | Lithuania | 1 1000 t | 2023 | unchanged | flat |
| 74 | Luxembourg | 1 1000 t | 2023 | unchanged | rising |
| 74 | Latvia | 1 1000 t | 2023 | down 50.0% | falling |
| 74 | Malta | 1 1000 t | 2023 | unchanged | falling |
| 74 | Mozambique | 1 1000 t | 2023 | unchanged | rising |
| 74 | Mauritania | 1 1000 t | 2023 | — | volatile |
| 74 | Mauritius | 1 1000 t | 2023 | unchanged | flat |
| 74 | Nigeria | 1 1000 t | 2023 | unchanged | flat |
| 74 | Nicaragua | 1 1000 t | 2023 | — | volatile |
| 74 | Serbia | 1 1000 t | 2023 | unchanged | rising |
| 74 | Slovakia | 1 1000 t | 2023 | down 50.0% | falling |
| 74 | Yemen | 1 1000 t | 2023 | down 50.0% | falling |
| 74 | Cabo Verde | 1 1000 t | 2023 | unchanged | flat |
| 74 | Melanesia | 1 1000 t | 2023 | unchanged | rising |
| 74 | Côte d'Ivoire | 1 1000 t | 2023 | — | volatile |
| 103 | Argentina | 0 1000 t | 2023 | down 100.0% | volatile |
| 103 | Armenia | 0 1000 t | 2023 | — | flat |
| 103 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 103 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 103 | Bahamas | 0 1000 t | 2023 | — | flat |
| 103 | Belize | 0 1000 t | 2023 | — | flat |
| 103 | Barbados | 0 1000 t | 2023 | — | flat |
| 103 | Bhutan | 0 1000 t | 2023 | — | flat |
| 103 | Botswana | 0 1000 t | 2023 | — | flat |
| 103 | Cameroon | 0 1000 t | 2023 | — | flat |
| 103 | Congo | 0 1000 t | 2023 | — | flat |
| 103 | Comoros | 0 1000 t | 2023 | — | flat |
| 103 | Cuba | 0 1000 t | 2019 | — | volatile |
| 103 | Estonia | 0 1000 t | 2023 | down 100.0% | flat |
| 103 | Fiji | 0 1000 t | 2023 | — | volatile |
| 103 | Gabon | 0 1000 t | 2023 | — | flat |
| 103 | Georgia | 0 1000 t | 2023 | — | flat |
| 103 | Guinea | 0 1000 t | 2023 | — | flat |
| 103 | Gambia | 0 1000 t | 2023 | — | flat |
| 103 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 103 | Grenada | 0 1000 t | 2023 | — | flat |
| 103 | Guyana | 0 1000 t | 2023 | — | flat |
| 103 | Honduras | 0 1000 t | 2023 | — | volatile |
| 103 | Haiti | 0 1000 t | 2023 | — | flat |
| 103 | Jamaica | 0 1000 t | 2023 | — | flat |
| 103 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 103 | Cambodia | 0 1000 t | 2023 | — | volatile |
| 103 | Kiribati | 0 1000 t | 2023 | — | flat |
| 103 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 103 | Liberia | 0 1000 t | 2023 | — | flat |
| 103 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 103 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 103 | Lesotho | 0 1000 t | 2023 | — | flat |
| 103 | Madagascar | 0 1000 t | 2023 | — | volatile |
| 103 | Maldives | 0 1000 t | 2023 | — | flat |
| 103 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 103 | Myanmar | 0 1000 t | 2023 | — | flat |
| 103 | Montenegro | 0 1000 t | 2023 | — | flat |
| 103 | Mongolia | 0 1000 t | 2023 | — | volatile |
| 103 | Malawi | 0 1000 t | 2023 | — | flat |
| 103 | Namibia | 0 1000 t | 2023 | — | volatile |
| 103 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 103 | Niger | 0 1000 t | 2023 | — | flat |
| 103 | Nepal | 0 1000 t | 2023 | — | flat |
| 103 | Nauru | 0 1000 t | 2023 | — | flat |
| 103 | Peru | 0 1000 t | 2023 | — | volatile |
| 103 | Papua New Guinea | 0 1000 t | 2023 | — | volatile |
| 103 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 103 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 103 | Rwanda | 0 1000 t | 2023 | — | flat |
| 103 | Senegal | 0 1000 t | 2023 | — | flat |
| 103 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 103 | Sierra Leone | 0 1000 t | 2022 | — | flat |
| 103 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 103 | Suriname | 0 1000 t | 2023 | — | flat |
| 103 | Eswatini | 0 1000 t | 2023 | — | flat |
| 103 | Seychelles | 0 1000 t | 2023 | — | flat |
| 103 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 103 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 103 | Tonga | 0 1000 t | 2023 | — | flat |
| 103 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 103 | Uganda | 0 1000 t | 2023 | — | flat |
| 103 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 103 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 103 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 103 | Samoa | 0 1000 t | 2023 | — | flat |
| 103 | Zambia | 0 1000 t | 2023 | — | flat |
| 103 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 103 | Micronesia | 0 1000 t | 2023 | — | flat |
| 103 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 103 | Polynesia | 0 1000 t | 2023 | — | flat |
| 103 | Democratic Republic of the Congo | 0 1000 t | 2023 | down 100.0% | volatile |
| 103 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | volatile |
| 103 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 103 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 103 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 103 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | flat |
| 103 | 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 2,934 1000 t
- Europe 1,460 1000 t
- European Union (27) 1,357 1000 t
- Southern Europe 1,118 1000 t
- Americas 558 1000 t
- Asia 500 1000 t
- Northern America 415 1000 t
- United States of America 370 1000 t
- Africa 363 1000 t
- Western Asia 360 1000 t
- Northern Africa 339 1000 t
- Net Food Importing Developing Countries (NFIDCs) 289 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.