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 127 countries. The highest value is 510 1000 t in Italy; the lowest is 0 1000 t in United Republic of Tanzania.
The median across all reporting countries is 3 1000 t, and the mean is 25.56 1000 t.
Over the past decade 38 countries rose and 34 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 | United States | 370 1000 t | 2023 | up 26.7% | rising |
| 4 | Turkey | 142 1000 t | 2023 | down 5.3% | rising |
| 4 | Türkiye | 142 1000 t | 2023 | down 5.3% | rising |
| 6 | Morocco | 122 1000 t | 2023 | up 31.2% | rising |
| 7 | France | 105 1000 t | 2023 | down 6.2% | rising |
| 8 | Algeria | 91 1000 t | 2023 | up 37.9% | rising |
| 9 | Greece | 90 1000 t | 2023 | down 40.4% | falling |
| 10 | Syria | 87 1000 t | 2023 | down 22.3% | falling |
| 10 | Syrian Arab Republic | 87 1000 t | 2023 | down 22.3% | falling |
| 12 | Brazil | 80 1000 t | 2023 | up 9.6% | rising |
| 13 | Tunisia | 71 1000 t | 2023 | up 115.2% | rising |
| 14 | Portugal | 62 1000 t | 2023 | down 3.1% | falling |
| 15 | Germany | 60 1000 t | 2023 | down 3.2% | rising |
| 15 | United Kingdom | 60 1000 t | 2023 | down 1.6% | rising |
| 15 | United Kingdom of Great Britain and Northern Ireland | 60 1000 t | 2023 | down 1.6% | rising |
| 18 | Australia and New Zealand | 52 1000 t | 2023 | up 15.6% | rising |
| 19 | Australia | 47 1000 t | 2023 | up 17.5% | rising |
| 20 | Canada | 44 1000 t | 2023 | up 29.4% | rising |
| 21 | Egypt | 35 1000 t | 2023 | up 218.2% | volatile |
| 22 | China | 33 1000 t | 2023 | down 21.4% | rising |
| 23 | Israel | 25 1000 t | 2023 | up 78.6% | rising |
| 24 | Jordan | 24 1000 t | 2023 | up 41.2% | rising |
| 25 | Mexico | 23 1000 t | 2023 | up 76.9% | rising |
| 26 | China, mainland | 22 1000 t | 2023 | down 35.3% | rising |
| 27 | Saudi Arabia | 20 1000 t | 2023 | up 5.3% | rising |
| 28 | Libya | 19 1000 t | 2023 | up 18.8% | rising |
| 29 | Switzerland | 16 1000 t | 2023 | up 14.3% | rising |
| 29 | Republic of Korea | 16 1000 t | 2023 | up 33.3% | rising |
| 31 | United Arab Emirates | 13 1000 t | 2023 | up 160.0% | volatile |
| 31 | Netherlands (Kingdom of the) | 13 1000 t | 2023 | down 13.3% | rising |
| 33 | Lebanon | 12 1000 t | 2023 | down 20.0% | falling |
| 33 | Poland | 12 1000 t | 2023 | up 33.3% | rising |
| 35 | Albania | 10 1000 t | 2023 | unchanged | rising |
| 35 | India | 10 1000 t | 2023 | unchanged | volatile |
| 35 | Russia | 10 1000 t | 2023 | down 63.0% | falling |
| 35 | Russian Federation | 10 1000 t | 2023 | down 63.0% | falling |
| 39 | Austria | 9 1000 t | 2023 | unchanged | rising |
| 39 | Croatia | 9 1000 t | 2023 | up 200.0% | volatile |
| 39 | Sweden | 9 1000 t | 2023 | unchanged | rising |
| 39 | Iran (Islamic Republic of) | 9 1000 t | 2023 | down 52.6% | falling |
| 43 | Colombia | 8 1000 t | 2023 | up 300.0% | volatile |
| 43 | China, Taiwan Province of | 8 1000 t | 2023 | up 100.0% | rising |
| 45 | Belgium | 7 1000 t | 2023 | down 50.0% | falling |
| 45 | Chile | 7 1000 t | 2023 | up 133.3% | volatile |
| 47 | Burkina Faso | 6 1000 t | 2023 | — | volatile |
| 47 | Denmark | 6 1000 t | 2023 | unchanged | rising |
| 47 | Romania | 6 1000 t | 2023 | up 20.0% | rising |
| 50 | Cyprus | 5 1000 t | 2023 | up 150.0% | rising |
| 50 | New Zealand | 5 1000 t | 2023 | down 16.7% | rising |
| 50 | Philippines | 5 1000 t | 2023 | up 150.0% | rising |
| 50 | Caribbean | 5 1000 t | 2023 | up 25.0% | rising |
| 50 | Venezuela (Bolivarian Republic of) | 5 1000 t | 2023 | up 25.0% | volatile |
| 55 | Bulgaria | 4 1000 t | 2023 | up 100.0% | rising |
| 55 | Ireland | 4 1000 t | 2023 | down 33.3% | falling |
| 55 | Norway | 4 1000 t | 2023 | unchanged | rising |
| 55 | Thailand | 4 1000 t | 2023 | unchanged | rising |
| 55 | South Africa | 4 1000 t | 2023 | down 20.0% | falling |
| 60 | Costa Rica | 3 1000 t | 2023 | up 200.0% | rising |
| 60 | Czechia | 3 1000 t | 2023 | down 25.0% | falling |
| 60 | Dominican Republic | 3 1000 t | 2023 | up 50.0% | rising |
| 60 | Ecuador | 3 1000 t | 2023 | up 200.0% | volatile |
| 60 | Finland | 3 1000 t | 2023 | unchanged | flat |
| 60 | Hungary | 3 1000 t | 2023 | up 50.0% | rising |
| 60 | Kuwait | 3 1000 t | 2023 | down 25.0% | rising |
| 60 | Qatar | 3 1000 t | 2023 | — | falling |
| 60 | El Salvador | 3 1000 t | 2023 | up 50.0% | rising |
| 60 | China, Hong Kong SAR | 3 1000 t | 2023 | down 25.0% | falling |
| 70 | Indonesia | 2 1000 t | 2023 | up 100.0% | volatile |
| 70 | North Macedonia | 2 1000 t | 2023 | unchanged | flat |
| 70 | Malaysia | 2 1000 t | 2023 | up 100.0% | rising |
| 70 | Oman | 2 1000 t | 2023 | up 100.0% | rising |
| 70 | Pakistan | 2 1000 t | 2023 | unchanged | rising |
| 70 | Panama | 2 1000 t | 2023 | up 100.0% | rising |
| 70 | Slovenia | 2 1000 t | 2023 | unchanged | flat |
| 70 | Ukraine | 2 1000 t | 2023 | down 50.0% | falling |
| 70 | Uruguay | 2 1000 t | 2023 | up 100.0% | rising |
| 70 | Vietnam | 2 1000 t | 2023 | — | volatile |
| 70 | Viet Nam | 2 1000 t | 2023 | — | volatile |
| 81 | Afghanistan | 1 1000 t | 2023 | unchanged | flat |
| 81 | Angola | 1 1000 t | 2023 | down 75.0% | falling |
| 81 | Azerbaijan | 1 1000 t | 2023 | unchanged | falling |
| 81 | Bahrain | 1 1000 t | 2023 | — | falling |
| 81 | Bosnia and Herzegovina | 1 1000 t | 2023 | unchanged | flat |
| 81 | Belarus | 1 1000 t | 2023 | unchanged | flat |
| 81 | Cote d'Ivoire | 1 1000 t | 2023 | — | volatile |
| 81 | Djibouti | 1 1000 t | 2023 | — | volatile |
| 81 | Ethiopia | 1 1000 t | 2023 | — | volatile |
| 81 | Ghana | 1 1000 t | 2023 | unchanged | rising |
| 81 | Guatemala | 1 1000 t | 2023 | unchanged | rising |
| 81 | Iraq | 1 1000 t | 2023 | unchanged | flat |
| 81 | Iceland | 1 1000 t | 2023 | — | volatile |
| 81 | Kazakhstan | 1 1000 t | 2023 | unchanged | flat |
| 81 | Kenya | 1 1000 t | 2023 | — | volatile |
| 81 | Lithuania | 1 1000 t | 2023 | unchanged | flat |
| 81 | Luxembourg | 1 1000 t | 2023 | unchanged | rising |
| 81 | Latvia | 1 1000 t | 2023 | down 50.0% | falling |
| 81 | Malta | 1 1000 t | 2023 | unchanged | falling |
| 81 | Mozambique | 1 1000 t | 2023 | unchanged | rising |
| 81 | Mauritania | 1 1000 t | 2023 | — | volatile |
| 81 | Mauritius | 1 1000 t | 2023 | unchanged | flat |
| 81 | Nigeria | 1 1000 t | 2023 | unchanged | flat |
| 81 | Nicaragua | 1 1000 t | 2023 | — | volatile |
| 81 | Serbia | 1 1000 t | 2023 | unchanged | rising |
| 81 | Slovakia | 1 1000 t | 2023 | down 50.0% | falling |
| 81 | Yemen | 1 1000 t | 2023 | down 50.0% | falling |
| 81 | Cabo Verde | 1 1000 t | 2023 | unchanged | flat |
| 81 | Melanesia | 1 1000 t | 2023 | unchanged | rising |
| 81 | Côte d'Ivoire | 1 1000 t | 2023 | — | volatile |
| 111 | Argentina | 0 1000 t | 2023 | down 100.0% | volatile |
| 111 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 111 | Cuba | 0 1000 t | 2019 | — | volatile |
| 111 | Estonia | 0 1000 t | 2023 | down 100.0% | flat |
| 111 | Fiji | 0 1000 t | 2023 | — | volatile |
| 111 | Honduras | 0 1000 t | 2023 | — | volatile |
| 111 | Cambodia | 0 1000 t | 2023 | — | volatile |
| 111 | Madagascar | 0 1000 t | 2023 | — | volatile |
| 111 | Mongolia | 0 1000 t | 2023 | — | volatile |
| 111 | Namibia | 0 1000 t | 2023 | — | volatile |
| 111 | Peru | 0 1000 t | 2023 | — | volatile |
| 111 | Papua New Guinea | 0 1000 t | 2023 | — | volatile |
| 111 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 111 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 111 | Democratic Republic of the Congo | 0 1000 t | 2023 | down 100.0% | volatile |
| 111 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | volatile |
| 111 | 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 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
- Western Europe 212 1000 t
- South America 105 1000 t
- Low Income Food Deficit Countries (LIFDCs) 104 1000 t
- Eastern Asia 99 1000 t
- Northern Europe 89 1000 t
- Oceania 53 1000 t
- Eastern Europe 42 1000 t
- Central America 33 1000 t
- Southern Asia 23 1000 t
- Least Developed Countries (LDCs) 18 1000 t
- South-Eastern Asia 16 1000 t
- Land Locked Developing Countries (LLDCs) 16 1000 t
- Western Africa 11 1000 t
- Small island developing States (SIDS) 9 1000 t
- Eastern Africa 7 1000 t
- Southern Africa 4 1000 t
- Central Asia 2 1000 t
- Middle Africa 2 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.