Olives (including preserved) β 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
Olives (including preserved) β Export quantity is currently reported for 128 countries. The highest value is 478 1000 t in Spain; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 0 1000 t, and the mean is 11.63 1000 t.
Over the past decade 17 countries rose and 19 fell. The largest increase was in Albania (up 600.0%), and the largest decrease in Belarus (down 100.0%).
Olives (including preserved) β Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Spain | 478 1000 t | 2023 | up 18.0% | rising |
| 2 | Greece | 300 1000 t | 2023 | up 54.6% | rising |
| 3 | Egypt | 93 1000 t | 2023 | up 2.2% | rising |
| 4 | Portugal | 89 1000 t | 2023 | up 117.1% | rising |
| 5 | TΓΌrkiye | 88 1000 t | 2023 | up 27.5% | rising |
| 6 | Morocco | 78 1000 t | 2023 | up 6.8% | rising |
| 7 | Belgium | 56 1000 t | 2023 | up 55.6% | rising |
| 8 | Argentina | 52 1000 t | 2023 | down 35.8% | falling |
| 9 | Italy | 42 1000 t | 2023 | up 61.5% | rising |
| 9 | Peru | 42 1000 t | 2023 | up 90.9% | rising |
| 11 | Netherlands (Kingdom of the) | 33 1000 t | 2023 | up 153.8% | rising |
| 12 | Czechia | 15 1000 t | 2023 | down 6.2% | rising |
| 13 | Albania | 14 1000 t | 2023 | up 600.0% | volatile |
| 14 | France | 11 1000 t | 2023 | down 15.4% | falling |
| 14 | Jordan | 11 1000 t | 2023 | down 15.4% | rising |
| 16 | Lithuania | 10 1000 t | 2023 | up 400.0% | volatile |
| 17 | Latvia | 9 1000 t | 2023 | up 350.0% | volatile |
| 18 | Germany | 8 1000 t | 2023 | down 11.1% | falling |
| 19 | Poland | 7 1000 t | 2023 | up 16.7% | volatile |
| 19 | Syrian Arab Republic | 7 1000 t | 2023 | up 75.0% | rising |
| 21 | Armenia | 6 1000 t | 2023 | up 100.0% | volatile |
| 21 | Bulgaria | 6 1000 t | 2023 | down 72.7% | falling |
| 23 | United Arab Emirates | 5 1000 t | 2023 | up 400.0% | volatile |
| 24 | Austria | 2 1000 t | 2023 | down 75.0% | falling |
| 24 | Lebanon | 2 1000 t | 2023 | unchanged | rising |
| 24 | Pakistan | 2 1000 t | 2019 | β | volatile |
| 24 | Philippines | 2 1000 t | 2023 | β | volatile |
| 24 | Romania | 2 1000 t | 2023 | β | volatile |
| 24 | Russian Federation | 2 1000 t | 2023 | down 50.0% | volatile |
| 24 | United Kingdom of Great Britain and Northern Ireland | 2 1000 t | 2023 | down 50.0% | falling |
| 31 | Australia | 1 1000 t | 2023 | unchanged | volatile |
| 31 | Brazil | 1 1000 t | 2023 | unchanged | flat |
| 31 | Switzerland | 1 1000 t | 2023 | β | volatile |
| 31 | Chile | 1 1000 t | 2023 | down 50.0% | volatile |
| 31 | China | 1 1000 t | 2023 | down 50.0% | volatile |
| 31 | Denmark | 1 1000 t | 2023 | unchanged | volatile |
| 31 | Hungary | 1 1000 t | 2023 | unchanged | volatile |
| 31 | Ireland | 1 1000 t | 2023 | β | volatile |
| 31 | North Macedonia | 1 1000 t | 2023 | down 80.0% | volatile |
| 31 | Saudi Arabia | 1 1000 t | 2023 | β | volatile |
| 31 | Slovakia | 1 1000 t | 2023 | β | volatile |
| 31 | Sweden | 1 1000 t | 2023 | unchanged | flat |
| 31 | Uzbekistan | 1 1000 t | 2018 | β | volatile |
| 31 | Australia and New Zealand | 1 1000 t | 2023 | unchanged | volatile |
| 31 | China, mainland | 1 1000 t | 2023 | β | volatile |
| 46 | Afghanistan | 0 1000 t | 2023 | β | flat |
| 46 | Angola | 0 1000 t | 2022 | β | flat |
| 46 | Azerbaijan | 0 1000 t | 2023 | β | flat |
| 46 | Bangladesh | 0 1000 t | 2023 | β | flat |
| 46 | Bahrain | 0 1000 t | 2023 | β | flat |
| 46 | Bahamas | 0 1000 t | 2018 | β | flat |
| 46 | Bosnia and Herzegovina | 0 1000 t | 2023 | β | flat |
| 46 | Belarus | 0 1000 t | 2023 | down 100.0% | volatile |
| 46 | Botswana | 0 1000 t | 2023 | β | flat |
| 46 | Canada | 0 1000 t | 2023 | β | flat |
| 46 | Congo | 0 1000 t | 2021 | β | flat |
| 46 | Colombia | 0 1000 t | 2023 | β | flat |
| 46 | Costa Rica | 0 1000 t | 2023 | β | flat |
| 46 | Cyprus | 0 1000 t | 2023 | β | flat |
| 46 | Dominican Republic | 0 1000 t | 2023 | β | flat |
| 46 | Algeria | 0 1000 t | 2023 | β | flat |
| 46 | Ecuador | 0 1000 t | 2023 | β | flat |
| 46 | Estonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 46 | Finland | 0 1000 t | 2023 | down 100.0% | volatile |
| 46 | Fiji | 0 1000 t | 2023 | β | flat |
| 46 | Georgia | 0 1000 t | 2023 | β | flat |
| 46 | Ghana | 0 1000 t | 2021 | β | flat |
| 46 | Guatemala | 0 1000 t | 2023 | β | flat |
| 46 | Guyana | 0 1000 t | 2019 | β | flat |
| 46 | Honduras | 0 1000 t | 2022 | β | flat |
| 46 | Croatia | 0 1000 t | 2023 | β | volatile |
| 46 | Indonesia | 0 1000 t | 2023 | β | flat |
| 46 | India | 0 1000 t | 2023 | β | flat |
| 46 | Iraq | 0 1000 t | 2023 | β | volatile |
| 46 | Iceland | 0 1000 t | 2022 | β | flat |
| 46 | Israel | 0 1000 t | 2023 | down 100.0% | volatile |
| 46 | Jamaica | 0 1000 t | 2014 | β | flat |
| 46 | Kazakhstan | 0 1000 t | 2023 | β | flat |
| 46 | Kenya | 0 1000 t | 2023 | β | volatile |
| 46 | Kyrgyzstan | 0 1000 t | 2023 | β | flat |
| 46 | Kuwait | 0 1000 t | 2023 | β | volatile |
| 46 | Libya | 0 1000 t | 2020 | β | volatile |
| 46 | Saint Lucia | 0 1000 t | 2023 | β | flat |
| 46 | Sri Lanka | 0 1000 t | 2023 | β | flat |
| 46 | Luxembourg | 0 1000 t | 2023 | β | flat |
| 46 | Mexico | 0 1000 t | 2023 | β | volatile |
| 46 | Malta | 0 1000 t | 2023 | β | flat |
| 46 | Myanmar | 0 1000 t | 2023 | β | flat |
| 46 | Montenegro | 0 1000 t | 2023 | β | flat |
| 46 | Mozambique | 0 1000 t | 2023 | β | flat |
| 46 | Mauritania | 0 1000 t | 2018 | β | flat |
| 46 | Mauritius | 0 1000 t | 2023 | β | flat |
| 46 | Malaysia | 0 1000 t | 2023 | β | flat |
| 46 | Namibia | 0 1000 t | 2023 | β | flat |
| 46 | New Caledonia | 0 1000 t | 2015 | β | flat |
| 46 | Nigeria | 0 1000 t | 2023 | β | flat |
| 46 | Nicaragua | 0 1000 t | 2022 | β | flat |
| 46 | Norway | 0 1000 t | 2023 | β | flat |
| 46 | New Zealand | 0 1000 t | 2023 | β | volatile |
| 46 | Oman | 0 1000 t | 2023 | β | volatile |
| 46 | Panama | 0 1000 t | 2020 | β | flat |
| 46 | Senegal | 0 1000 t | 2023 | β | flat |
| 46 | Sierra Leone | 0 1000 t | 2023 | β | flat |
| 46 | El Salvador | 0 1000 t | 2023 | β | flat |
| 46 | Serbia | 0 1000 t | 2023 | down 100.0% | volatile |
| 46 | Slovenia | 0 1000 t | 2023 | β | volatile |
| 46 | Eswatini | 0 1000 t | 2020 | β | flat |
| 46 | Thailand | 0 1000 t | 2023 | β | volatile |
| 46 | Trinidad and Tobago | 0 1000 t | 2023 | β | flat |
| 46 | Tunisia | 0 1000 t | 2023 | down 100.0% | volatile |
| 46 | Uganda | 0 1000 t | 2023 | β | flat |
| 46 | Ukraine | 0 1000 t | 2023 | β | flat |
| 46 | Uruguay | 0 1000 t | 2022 | β | flat |
| 46 | Yemen | 0 1000 t | 2023 | β | flat |
| 46 | Zimbabwe | 0 1000 t | 2020 | β | flat |
| 46 | Cabo Verde | 0 1000 t | 2023 | β | flat |
| 46 | Melanesia | 0 1000 t | 2023 | β | flat |
| 46 | Caribbean | 0 1000 t | 2023 | β | flat |
| 46 | China, Hong Kong SAR | 0 1000 t | 2023 | down 100.0% | volatile |
| 46 | Iran (Islamic Republic of) | 0 1000 t | 2023 | β | flat |
| 46 | Republic of Korea | 0 1000 t | 2023 | β | flat |
| 46 | Republic of Moldova | 0 1000 t | 2023 | β | flat |
| 46 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | β | flat |
| 46 | Viet Nam | 0 1000 t | 2023 | β | flat |
| 46 | CΓ΄te d'Ivoire | 0 1000 t | 2023 | β | flat |
| 46 | United Republic of Tanzania | 0 1000 t | 2021 | β | flat |
| 46 | China, Taiwan Province of | 0 1000 t | 2023 | β | flat |
| 46 | China, Macao SAR | 0 1000 t | 2018 | β | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 1,511 1000 t
- Europe 1,095 1000 t
- European Union (27) 1,075 1000 t
- Southern Europe 925 1000 t
- Net Food Importing Developing Countries (NFIDCs) 224 1000 t
- Africa 173 1000 t
- Northern Africa 171 1000 t
- Asia 123 1000 t
- Western Asia 120 1000 t
- Americas 118 1000 t
- Western Europe 111 1000 t
- South America 97 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.