Olive Oil — Export 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 — Export quantity is currently reported for 59 countries. The highest value is 781 1000 t in Spain; the lowest is 0 1000 t in Malaysia.
The median across all reporting countries is 1 1000 t, and the mean is 40.68 1000 t.
Over the past decade 20 countries rose and 14 fell. The largest increase was in United Arab Emirates (up 600.0%), and the largest decrease in Canada (down 100.0%).
Olive Oil — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Spain | 781 1000 t | 2023 | up 0.8% | rising |
| 2 | Italy | 325 1000 t | 2023 | down 15.6% | falling |
| 3 | Greece | 241 1000 t | 2023 | up 23.0% | rising |
| 4 | Portugal | 212 1000 t | 2023 | up 94.5% | rising |
| 5 | Tunisia | 171 1000 t | 2023 | up 8.9% | rising |
| 6 | Turkey | 164 1000 t | 2023 | up 69.1% | volatile |
| 6 | Türkiye | 164 1000 t | 2023 | up 69.1% | volatile |
| 8 | Syria | 83 1000 t | 2023 | up 207.4% | rising |
| 8 | Syrian Arab Republic | 83 1000 t | 2023 | up 207.4% | rising |
| 10 | Argentina | 37 1000 t | 2023 | up 68.2% | rising |
| 11 | United States | 21 1000 t | 2023 | up 61.5% | rising |
| 12 | Chile | 18 1000 t | 2023 | up 63.6% | rising |
| 13 | France | 14 1000 t | 2023 | up 133.3% | rising |
| 14 | Morocco | 12 1000 t | 2023 | down 14.3% | flat |
| 15 | Belgium | 8 1000 t | 2023 | up 33.3% | rising |
| 16 | United Arab Emirates | 7 1000 t | 2023 | up 600.0% | volatile |
| 17 | Germany | 6 1000 t | 2023 | up 20.0% | rising |
| 18 | Netherlands (Kingdom of the) | 5 1000 t | 2023 | up 150.0% | volatile |
| 18 | Australia and New Zealand | 5 1000 t | 2023 | unchanged | falling |
| 18 | Albania | 5 1000 t | 2023 | — | volatile |
| 18 | Australia | 5 1000 t | 2023 | unchanged | falling |
| 18 | Egypt | 5 1000 t | 2023 | up 66.7% | volatile |
| 18 | Lebanon | 5 1000 t | 2023 | down 28.6% | rising |
| 24 | Peru | 4 1000 t | 2023 | up 300.0% | volatile |
| 25 | South Africa | 2 1000 t | 2023 | up 100.0% | volatile |
| 25 | Poland | 2 1000 t | 2023 | up 100.0% | volatile |
| 25 | United Kingdom of Great Britain and Northern Ireland | 2 1000 t | 2023 | down 33.3% | falling |
| 25 | United Kingdom | 2 1000 t | 2023 | down 33.3% | falling |
| 29 | Latvia | 1 1000 t | 2023 | — | volatile |
| 29 | Algeria | 1 1000 t | 2023 | — | volatile |
| 29 | Czechia | 1 1000 t | 2023 | unchanged | rising |
| 29 | Cyprus | 1 1000 t | 2023 | — | volatile |
| 29 | Slovenia | 1 1000 t | 2023 | — | volatile |
| 29 | Azerbaijan | 1 1000 t | 2023 | — | volatile |
| 29 | Jordan | 1 1000 t | 2023 | down 50.0% | volatile |
| 29 | Austria | 1 1000 t | 2023 | down 50.0% | rising |
| 29 | Mexico | 1 1000 t | 2023 | unchanged | volatile |
| 29 | Lithuania | 1 1000 t | 2023 | down 50.0% | falling |
| 29 | Uruguay | 1 1000 t | 2023 | — | volatile |
| 40 | Bulgaria | 0 1000 t | 2023 | — | volatile |
| 40 | Canada | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | China, Taiwan Province of | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | China | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Oman | 0 1000 t | 2023 | — | volatile |
| 40 | Niger | 0 1000 t | 2023 | — | volatile |
| 40 | Ecuador | 0 1000 t | 2023 | — | volatile |
| 40 | China, Hong Kong SAR | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Rwanda | 0 1000 t | 2022 | — | volatile |
| 40 | Saudi Arabia | 0 1000 t | 2023 | — | volatile |
| 40 | Slovakia | 0 1000 t | 2023 | — | volatile |
| 40 | Estonia | 0 1000 t | 2023 | — | volatile |
| 40 | Nicaragua | 0 1000 t | 2021 | — | volatile |
| 40 | Croatia | 0 1000 t | 2023 | — | volatile |
| 40 | Indonesia | 0 1000 t | 2023 | — | volatile |
| 40 | India | 0 1000 t | 2023 | — | volatile |
| 40 | Iraq | 0 1000 t | 2023 | — | volatile |
| 40 | Israel | 0 1000 t | 2023 | — | volatile |
| 40 | Zambia | 0 1000 t | 2022 | down 100.0% | volatile |
| 40 | Malaysia | 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 2,156 1000 t
- Europe 1,607 1000 t
- European Union (27) 1,600 1000 t
- Southern Europe 1,565 1000 t
- Asia 269 1000 t
- Western Asia 268 1000 t
- Net Food Importing Developing Countries (NFIDCs) 195 1000 t
- Africa 192 1000 t
- Northern Africa 189 1000 t
- Low Income Food Deficit Countries (LIFDCs) 83 1000 t
- Americas 83 1000 t
- South America 60 1000 t
- Western Europe 34 1000 t
- Northern America 21 1000 t
- United States of America 21 1000 t
- Northern Europe 5 1000 t
- Oceania 5 1000 t
- Eastern Europe 4 1000 t
- Southern Africa 2 1000 t
- Least Developed Countries (LDCs) 1 1000 t
- Land Locked Developing Countries (LLDCs) 1 1000 t
- Eastern Asia 1 1000 t
- Central America 1 1000 t
- Eastern Africa 1 1000 t
- Western Africa 0 1000 t
- Southern Asia 0 1000 t
- South-Eastern Asia 0 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.