Olive Oil — Domestic supply 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 — Domestic supply quantity is currently reported for 179 countries. The highest value is 535 1000 t in Italy; the lowest is -3 1000 t in Peru.
The median across all reporting countries is 1 1000 t, and the mean is 15.59 1000 t.
The gap between the highest and lowest reporting country is a factor of about 178.
Over the past decade 42 countries rose and 30 fell. The largest increase was in Egypt (up 218.2%), and the largest decrease in Bahamas (down 100.0%).
Olive Oil — Domestic supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Italy | 535 1000 t | 2023 | down 18.3% | falling |
| 2 | Spain | 493 1000 t | 2023 | down 26.2% | falling |
| 3 | Türkiye | 150 1000 t | 2023 | down 10.2% | rising |
| 4 | Morocco | 146 1000 t | 2023 | up 37.7% | rising |
| 5 | France | 105 1000 t | 2023 | down 6.2% | rising |
| 6 | Greece | 104 1000 t | 2023 | down 36.6% | falling |
| 7 | Syrian Arab Republic | 99 1000 t | 2023 | down 25.6% | falling |
| 8 | Algeria | 91 1000 t | 2023 | up 37.9% | rising |
| 9 | Portugal | 82 1000 t | 2023 | down 14.6% | falling |
| 10 | Brazil | 80 1000 t | 2023 | up 9.6% | rising |
| 11 | Tunisia | 70 1000 t | 2023 | up 100.0% | rising |
| 12 | United Kingdom of Great Britain and Northern Ireland | 65 1000 t | 2023 | up 1.6% | rising |
| 13 | Germany | 62 1000 t | 2023 | down 1.6% | rising |
| 14 | Australia and New Zealand | 54 1000 t | 2023 | up 17.4% | rising |
| 15 | Australia | 49 1000 t | 2023 | up 22.5% | rising |
| 16 | Canada | 45 1000 t | 2023 | up 28.6% | rising |
| 17 | China | 36 1000 t | 2023 | down 21.7% | rising |
| 18 | Egypt | 35 1000 t | 2023 | up 218.2% | volatile |
| 19 | Israel | 26 1000 t | 2023 | up 85.7% | rising |
| 20 | Jordan | 25 1000 t | 2023 | up 31.6% | rising |
| 20 | Saudi Arabia | 25 1000 t | 2023 | up 31.6% | rising |
| 22 | China, mainland | 24 1000 t | 2023 | down 35.1% | rising |
| 23 | Mexico | 23 1000 t | 2023 | up 76.9% | rising |
| 24 | Libya | 22 1000 t | 2023 | up 15.8% | rising |
| 25 | United Arab Emirates | 17 1000 t | 2023 | up 112.5% | rising |
| 26 | Switzerland | 16 1000 t | 2023 | up 14.3% | rising |
| 26 | Republic of Korea | 16 1000 t | 2023 | up 33.3% | rising |
| 28 | Lebanon | 15 1000 t | 2023 | down 16.7% | falling |
| 28 | Poland | 15 1000 t | 2023 | up 50.0% | rising |
| 30 | Netherlands (Kingdom of the) | 14 1000 t | 2023 | down 12.5% | rising |
| 31 | Russian Federation | 13 1000 t | 2023 | down 59.4% | falling |
| 32 | Albania | 11 1000 t | 2023 | down 8.3% | rising |
| 33 | India | 10 1000 t | 2023 | unchanged | volatile |
| 34 | Austria | 9 1000 t | 2023 | unchanged | rising |
| 34 | Chile | 9 1000 t | 2023 | up 125.0% | rising |
| 34 | Colombia | 9 1000 t | 2023 | up 125.0% | 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 |
| 40 | China, Taiwan Province of | 8 1000 t | 2023 | up 60.0% | rising |
| 41 | Belgium | 7 1000 t | 2023 | down 50.0% | falling |
| 41 | Denmark | 7 1000 t | 2023 | up 16.7% | rising |
| 43 | Burkina Faso | 6 1000 t | 2023 | — | volatile |
| 43 | Romania | 6 1000 t | 2023 | up 20.0% | rising |
| 45 | Cyprus | 5 1000 t | 2023 | up 66.7% | rising |
| 45 | Iraq | 5 1000 t | 2023 | up 150.0% | volatile |
| 45 | Norway | 5 1000 t | 2023 | up 25.0% | rising |
| 45 | New Zealand | 5 1000 t | 2023 | down 16.7% | rising |
| 45 | Philippines | 5 1000 t | 2023 | up 150.0% | rising |
| 45 | Venezuela (Bolivarian Republic of) | 5 1000 t | 2023 | up 25.0% | volatile |
| 52 | Bulgaria | 4 1000 t | 2023 | up 100.0% | rising |
| 52 | Czechia | 4 1000 t | 2023 | unchanged | falling |
| 52 | Ireland | 4 1000 t | 2023 | down 33.3% | falling |
| 52 | Kuwait | 4 1000 t | 2023 | down 20.0% | rising |
| 52 | Qatar | 4 1000 t | 2023 | — | falling |
| 52 | Thailand | 4 1000 t | 2023 | unchanged | rising |
| 58 | Azerbaijan | 3 1000 t | 2023 | up 200.0% | rising |
| 58 | Costa Rica | 3 1000 t | 2023 | up 200.0% | rising |
| 58 | Dominican Republic | 3 1000 t | 2023 | up 50.0% | rising |
| 58 | Ecuador | 3 1000 t | 2023 | up 200.0% | volatile |
| 58 | Finland | 3 1000 t | 2023 | unchanged | flat |
| 58 | Hungary | 3 1000 t | 2023 | unchanged | rising |
| 58 | Oman | 3 1000 t | 2023 | up 200.0% | rising |
| 58 | El Salvador | 3 1000 t | 2023 | up 50.0% | rising |
| 58 | China, Hong Kong SAR | 3 1000 t | 2023 | down 25.0% | falling |
| 67 | Indonesia | 2 1000 t | 2023 | up 100.0% | volatile |
| 67 | North Macedonia | 2 1000 t | 2023 | unchanged | rising |
| 67 | Malaysia | 2 1000 t | 2023 | up 166.7% | volatile |
| 67 | Pakistan | 2 1000 t | 2023 | unchanged | rising |
| 67 | Panama | 2 1000 t | 2023 | up 100.0% | rising |
| 67 | Serbia | 2 1000 t | 2023 | up 100.0% | volatile |
| 67 | Slovakia | 2 1000 t | 2023 | unchanged | flat |
| 67 | Seychelles | 2 1000 t | 2023 | down 33.3% | falling |
| 67 | Ukraine | 2 1000 t | 2023 | down 50.0% | falling |
| 67 | Uruguay | 2 1000 t | 2023 | up 100.0% | rising |
| 67 | Viet Nam | 2 1000 t | 2023 | — | volatile |
| 78 | Afghanistan | 1 1000 t | 2023 | unchanged | flat |
| 78 | Angola | 1 1000 t | 2023 | down 75.0% | falling |
| 78 | Argentina | 1 1000 t | 2023 | down 85.7% | rising |
| 78 | Bahrain | 1 1000 t | 2023 | — | falling |
| 78 | Bosnia and Herzegovina | 1 1000 t | 2023 | unchanged | flat |
| 78 | Belarus | 1 1000 t | 2023 | unchanged | flat |
| 78 | Djibouti | 1 1000 t | 2023 | — | volatile |
| 78 | Estonia | 1 1000 t | 2023 | unchanged | rising |
| 78 | Ethiopia | 1 1000 t | 2023 | — | volatile |
| 78 | Georgia | 1 1000 t | 2023 | — | volatile |
| 78 | Ghana | 1 1000 t | 2023 | unchanged | rising |
| 78 | Guatemala | 1 1000 t | 2023 | unchanged | rising |
| 78 | Iceland | 1 1000 t | 2023 | — | volatile |
| 78 | Kazakhstan | 1 1000 t | 2023 | unchanged | rising |
| 78 | Kenya | 1 1000 t | 2023 | — | volatile |
| 78 | Lithuania | 1 1000 t | 2023 | unchanged | rising |
| 78 | Luxembourg | 1 1000 t | 2023 | unchanged | rising |
| 78 | Latvia | 1 1000 t | 2023 | down 50.0% | rising |
| 78 | Maldives | 1 1000 t | 2023 | unchanged | volatile |
| 78 | Malta | 1 1000 t | 2023 | unchanged | falling |
| 78 | Mozambique | 1 1000 t | 2023 | unchanged | rising |
| 78 | Mauritania | 1 1000 t | 2023 | — | volatile |
| 78 | Mauritius | 1 1000 t | 2023 | unchanged | flat |
| 78 | Nigeria | 1 1000 t | 2023 | unchanged | flat |
| 78 | Nicaragua | 1 1000 t | 2023 | — | volatile |
| 78 | Slovenia | 1 1000 t | 2023 | down 50.0% | falling |
| 78 | Yemen | 1 1000 t | 2023 | down 50.0% | falling |
| 78 | Cabo Verde | 1 1000 t | 2023 | unchanged | flat |
| 78 | Melanesia | 1 1000 t | 2023 | unchanged | rising |
| 78 | Côte d'Ivoire | 1 1000 t | 2023 | — | volatile |
| 108 | Armenia | 0 1000 t | 2023 | — | flat |
| 108 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 108 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 108 | Bahamas | 0 1000 t | 2023 | down 100.0% | volatile |
| 108 | Belize | 0 1000 t | 2023 | — | flat |
| 108 | Barbados | 0 1000 t | 2023 | — | flat |
| 108 | Bhutan | 0 1000 t | 2023 | — | flat |
| 108 | Botswana | 0 1000 t | 2023 | — | flat |
| 108 | Cameroon | 0 1000 t | 2023 | — | flat |
| 108 | Congo | 0 1000 t | 2023 | — | flat |
| 108 | Comoros | 0 1000 t | 2023 | — | flat |
| 108 | Cuba | 0 1000 t | 2019 | — | volatile |
| 108 | Fiji | 0 1000 t | 2023 | down 100.0% | volatile |
| 108 | Gabon | 0 1000 t | 2023 | — | flat |
| 108 | Guinea | 0 1000 t | 2023 | — | flat |
| 108 | Gambia | 0 1000 t | 2023 | — | flat |
| 108 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 108 | Grenada | 0 1000 t | 2023 | — | flat |
| 108 | Guyana | 0 1000 t | 2023 | — | flat |
| 108 | Honduras | 0 1000 t | 2023 | — | volatile |
| 108 | Haiti | 0 1000 t | 2023 | — | flat |
| 108 | Jamaica | 0 1000 t | 2023 | — | flat |
| 108 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 108 | Cambodia | 0 1000 t | 2023 | — | volatile |
| 108 | Kiribati | 0 1000 t | 2023 | — | flat |
| 108 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 108 | Liberia | 0 1000 t | 2023 | — | flat |
| 108 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 108 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 108 | Lesotho | 0 1000 t | 2023 | — | flat |
| 108 | Madagascar | 0 1000 t | 2023 | — | volatile |
| 108 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 108 | Myanmar | 0 1000 t | 2023 | — | flat |
| 108 | Montenegro | 0 1000 t | 2023 | — | volatile |
| 108 | Mongolia | 0 1000 t | 2023 | — | volatile |
| 108 | Malawi | 0 1000 t | 2023 | — | flat |
| 108 | Namibia | 0 1000 t | 2023 | — | volatile |
| 108 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 108 | Niger | 0 1000 t | 2023 | — | volatile |
| 108 | Nepal | 0 1000 t | 2023 | — | flat |
| 108 | Nauru | 0 1000 t | 2023 | — | flat |
| 108 | Papua New Guinea | 0 1000 t | 2023 | — | volatile |
| 108 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 108 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 108 | Rwanda | 0 1000 t | 2023 | — | flat |
| 108 | Senegal | 0 1000 t | 2023 | — | flat |
| 108 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 108 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 108 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 108 | Suriname | 0 1000 t | 2023 | — | flat |
| 108 | Eswatini | 0 1000 t | 2023 | — | flat |
| 108 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 108 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 108 | Tonga | 0 1000 t | 2023 | — | flat |
| 108 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 108 | Uganda | 0 1000 t | 2023 | — | flat |
| 108 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 108 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 108 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 108 | Samoa | 0 1000 t | 2023 | — | flat |
| 108 | Zambia | 0 1000 t | 2023 | up 100.0% | volatile |
| 108 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 108 | Micronesia | 0 1000 t | 2023 | — | flat |
| 108 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 108 | Polynesia | 0 1000 t | 2023 | — | flat |
| 108 | Democratic Republic of the Congo | 0 1000 t | 2023 | down 100.0% | volatile |
| 108 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | volatile |
| 108 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 108 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 108 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 108 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | flat |
| 108 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
| 180 | Peru | -3 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 3,161 1000 t
- Europe 1,603 1000 t
- European Union (27) 1,489 1000 t
- Southern Europe 1,243 1000 t
- Americas 561 1000 t
- Asia 551 1000 t
- Northern America 416 1000 t
- Western Asia 406 1000 t
- Africa 391 1000 t
- United States of America 370 1000 t
- Northern Africa 365 1000 t
- Net Food Importing Developing Countries (NFIDCs) 311 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.