Olive Oil — Stock Variation 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 — Stock Variation is currently reported for 177 countries. The highest value is 23 1000 t in Greece; the lowest is -80 1000 t in Syrian Arab Republic.
The median across all reporting countries is 0 1000 t, and the mean is -0.8249 1000 t.
Over the past decade 12 countries rose and 19 fell. The largest increase was in Greece (up 192.0%), and the largest decrease in United Arab Emirates (down 700.0%).
Olive Oil — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Greece | 23 1000 t | 2023 | up 192.0% | volatile |
| 2 | Burkina Faso | 15 1000 t | 2023 | — | volatile |
| 3 | Portugal | 12 1000 t | 2023 | down 7.7% | volatile |
| 4 | Türkiye | 3 1000 t | 2023 | up 105.6% | volatile |
| 5 | Netherlands (Kingdom of the) | 2 1000 t | 2023 | — | volatile |
| 6 | Canada | 1 1000 t | 2023 | down 50.0% | volatile |
| 6 | China | 1 1000 t | 2023 | down 75.0% | volatile |
| 6 | Ecuador | 1 1000 t | 2023 | — | volatile |
| 6 | Lebanon | 1 1000 t | 2023 | up 150.0% | volatile |
| 6 | Sweden | 1 1000 t | 2023 | — | volatile |
| 6 | Cabo Verde | 1 1000 t | 2023 | — | volatile |
| 6 | Iran (Islamic Republic of) | 1 1000 t | 2023 | unchanged | volatile |
| 6 | China, mainland | 1 1000 t | 2023 | down 66.7% | volatile |
| 6 | United Kingdom of Great Britain and Northern Ireland | 1 1000 t | 2023 | — | volatile |
| 15 | Afghanistan | 0 1000 t | 2023 | — | flat |
| 15 | Angola | 0 1000 t | 2023 | — | volatile |
| 15 | Albania | 0 1000 t | 2023 | — | volatile |
| 15 | Armenia | 0 1000 t | 2023 | — | flat |
| 15 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 15 | Austria | 0 1000 t | 2023 | up 100.0% | volatile |
| 15 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 15 | Belgium | 0 1000 t | 2023 | down 100.0% | volatile |
| 15 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 15 | Bulgaria | 0 1000 t | 2023 | down 100.0% | volatile |
| 15 | Bahrain | 0 1000 t | 2023 | — | flat |
| 15 | Bahamas | 0 1000 t | 2023 | — | flat |
| 15 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 15 | Belarus | 0 1000 t | 2023 | — | flat |
| 15 | Belize | 0 1000 t | 2023 | — | flat |
| 15 | Brazil | 0 1000 t | 2023 | up 100.0% | flat |
| 15 | Barbados | 0 1000 t | 2023 | — | flat |
| 15 | Bhutan | 0 1000 t | 2023 | — | flat |
| 15 | Botswana | 0 1000 t | 2023 | — | flat |
| 15 | Switzerland | 0 1000 t | 2023 | — | flat |
| 15 | Chile | 0 1000 t | 2023 | up 100.0% | volatile |
| 15 | Cameroon | 0 1000 t | 2023 | — | flat |
| 15 | Congo | 0 1000 t | 2023 | — | flat |
| 15 | Comoros | 0 1000 t | 2023 | — | flat |
| 15 | Costa Rica | 0 1000 t | 2023 | — | volatile |
| 15 | Cuba | 0 1000 t | 2019 | — | flat |
| 15 | Cyprus | 0 1000 t | 2023 | — | volatile |
| 15 | Czechia | 0 1000 t | 2023 | — | volatile |
| 15 | Germany | 0 1000 t | 2023 | — | volatile |
| 15 | Djibouti | 0 1000 t | 2023 | — | flat |
| 15 | Denmark | 0 1000 t | 2023 | down 100.0% | flat |
| 15 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 15 | Egypt | 0 1000 t | 2023 | down 100.0% | volatile |
| 15 | Estonia | 0 1000 t | 2023 | — | volatile |
| 15 | Ethiopia | 0 1000 t | 2023 | — | volatile |
| 15 | Finland | 0 1000 t | 2023 | — | volatile |
| 15 | Fiji | 0 1000 t | 2023 | — | volatile |
| 15 | France | 0 1000 t | 2023 | — | flat |
| 15 | Gabon | 0 1000 t | 2023 | — | flat |
| 15 | Georgia | 0 1000 t | 2023 | — | flat |
| 15 | Ghana | 0 1000 t | 2023 | — | volatile |
| 15 | Guinea | 0 1000 t | 2023 | — | flat |
| 15 | Gambia | 0 1000 t | 2023 | — | flat |
| 15 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 15 | Grenada | 0 1000 t | 2023 | — | flat |
| 15 | Guatemala | 0 1000 t | 2023 | — | volatile |
| 15 | Guyana | 0 1000 t | 2023 | — | flat |
| 15 | Honduras | 0 1000 t | 2023 | — | flat |
| 15 | Croatia | 0 1000 t | 2023 | — | volatile |
| 15 | Haiti | 0 1000 t | 2023 | — | flat |
| 15 | Hungary | 0 1000 t | 2023 | — | volatile |
| 15 | Indonesia | 0 1000 t | 2023 | — | volatile |
| 15 | India | 0 1000 t | 2023 | down 100.0% | volatile |
| 15 | Ireland | 0 1000 t | 2023 | — | volatile |
| 15 | Iraq | 0 1000 t | 2023 | — | volatile |
| 15 | Iceland | 0 1000 t | 2023 | — | flat |
| 15 | Jamaica | 0 1000 t | 2023 | — | flat |
| 15 | Jordan | 0 1000 t | 2023 | — | volatile |
| 15 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 15 | Kenya | 0 1000 t | 2023 | — | flat |
| 15 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 15 | Cambodia | 0 1000 t | 2023 | — | flat |
| 15 | Kiribati | 0 1000 t | 2023 | — | flat |
| 15 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 15 | Kuwait | 0 1000 t | 2023 | — | flat |
| 15 | Liberia | 0 1000 t | 2023 | — | flat |
| 15 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 15 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 15 | Lithuania | 0 1000 t | 2023 | — | flat |
| 15 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 15 | Latvia | 0 1000 t | 2023 | — | flat |
| 15 | Madagascar | 0 1000 t | 2023 | — | flat |
| 15 | Maldives | 0 1000 t | 2023 | — | volatile |
| 15 | Mexico | 0 1000 t | 2023 | down 100.0% | volatile |
| 15 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 15 | North Macedonia | 0 1000 t | 2023 | — | volatile |
| 15 | Malta | 0 1000 t | 2023 | — | volatile |
| 15 | Myanmar | 0 1000 t | 2023 | — | flat |
| 15 | Montenegro | 0 1000 t | 2023 | — | flat |
| 15 | Mongolia | 0 1000 t | 2023 | — | flat |
| 15 | Mozambique | 0 1000 t | 2023 | — | flat |
| 15 | Mauritania | 0 1000 t | 2023 | — | flat |
| 15 | Malawi | 0 1000 t | 2023 | — | flat |
| 15 | Malaysia | 0 1000 t | 2023 | — | flat |
| 15 | Namibia | 0 1000 t | 2023 | — | volatile |
| 15 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 15 | Niger | 0 1000 t | 2023 | — | flat |
| 15 | Nigeria | 0 1000 t | 2023 | — | volatile |
| 15 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 15 | Norway | 0 1000 t | 2023 | — | volatile |
| 15 | Nepal | 0 1000 t | 2023 | — | flat |
| 15 | Nauru | 0 1000 t | 2023 | — | flat |
| 15 | New Zealand | 0 1000 t | 2023 | up 100.0% | volatile |
| 15 | Oman | 0 1000 t | 2023 | — | flat |
| 15 | Pakistan | 0 1000 t | 2023 | — | flat |
| 15 | Panama | 0 1000 t | 2023 | — | volatile |
| 15 | Peru | 0 1000 t | 2023 | — | volatile |
| 15 | Philippines | 0 1000 t | 2023 | — | volatile |
| 15 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 15 | Poland | 0 1000 t | 2023 | up 100.0% | volatile |
| 15 | Paraguay | 0 1000 t | 2023 | — | flat |
| 15 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 15 | Romania | 0 1000 t | 2023 | — | volatile |
| 15 | Rwanda | 0 1000 t | 2023 | — | flat |
| 15 | Saudi Arabia | 0 1000 t | 2023 | — | volatile |
| 15 | Senegal | 0 1000 t | 2023 | — | volatile |
| 15 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 15 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 15 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 15 | Serbia | 0 1000 t | 2023 | — | flat |
| 15 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 15 | Suriname | 0 1000 t | 2023 | — | flat |
| 15 | Slovakia | 0 1000 t | 2023 | — | flat |
| 15 | Slovenia | 0 1000 t | 2023 | — | volatile |
| 15 | Eswatini | 0 1000 t | 2023 | — | flat |
| 15 | Seychelles | 0 1000 t | 2023 | — | volatile |
| 15 | Thailand | 0 1000 t | 2023 | — | flat |
| 15 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 15 | Tonga | 0 1000 t | 2023 | — | flat |
| 15 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 15 | Uganda | 0 1000 t | 2023 | — | flat |
| 15 | Ukraine | 0 1000 t | 2023 | down 100.0% | flat |
| 15 | Uruguay | 0 1000 t | 2023 | — | volatile |
| 15 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 15 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 15 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 15 | Samoa | 0 1000 t | 2023 | — | flat |
| 15 | Yemen | 0 1000 t | 2023 | — | volatile |
| 15 | Zambia | 0 1000 t | 2023 | — | flat |
| 15 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 15 | Micronesia | 0 1000 t | 2023 | — | flat |
| 15 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 15 | Melanesia | 0 1000 t | 2023 | — | volatile |
| 15 | Polynesia | 0 1000 t | 2023 | — | flat |
| 15 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | volatile |
| 15 | Caribbean | 0 1000 t | 2023 | — | flat |
| 15 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 15 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 15 | Republic of Korea | 0 1000 t | 2023 | — | volatile |
| 15 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 15 | Russian Federation | 0 1000 t | 2023 | — | flat |
| 15 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | down 100.0% | flat |
| 15 | Viet Nam | 0 1000 t | 2023 | — | flat |
| 15 | Côte d'Ivoire | 0 1000 t | 2023 | — | volatile |
| 15 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 15 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 15 | China, Taiwan Province of | 0 1000 t | 2023 | down 100.0% | volatile |
| 15 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
| 163 | Libya | -1 1000 t | 2023 | — | volatile |
| 163 | Mauritius | -1 1000 t | 2023 | — | volatile |
| 163 | Qatar | -1 1000 t | 2023 | — | volatile |
| 166 | Colombia | -2 1000 t | 2023 | — | volatile |
| 166 | Israel | -2 1000 t | 2023 | down 166.7% | volatile |
| 168 | Australia and New Zealand | -3 1000 t | 2023 | up 50.0% | volatile |
| 169 | Argentina | -4 1000 t | 2023 | up 33.3% | flat |
| 169 | Australia | -4 1000 t | 2023 | up 20.0% | volatile |
| 169 | Algeria | -4 1000 t | 2023 | unchanged | volatile |
| 172 | United Arab Emirates | -8 1000 t | 2023 | down 700.0% | volatile |
| 173 | Spain | -12 1000 t | 2023 | down 102.0% | volatile |
| 174 | Morocco | -18 1000 t | 2023 | down 205.9% | volatile |
| 175 | Tunisia | -20 1000 t | 2023 | down 281.8% | volatile |
| 176 | Italy | -50 1000 t | 2023 | up 10.7% | volatile |
| 177 | Syrian Arab Republic | -80 1000 t | 2023 | down 433.3% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Western Africa 16 1000 t
- Least Developed Countries (LDCs) 15 1000 t
- Land Locked Developing Countries (LLDCs) 15 1000 t
- Western Europe 2 1000 t
- Northern Europe 2 1000 t
- Small Island Developing States (SIDS) 1 1000 t
- Eastern Europe 1 1000 t
- Central America 1 1000 t
- Southern Asia 1 1000 t
- South-eastern Asia 1 1000 t
- South Africa 0 1000 t
- Central 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.