Olives (including preserved) β 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
Olives (including preserved) β Stock Variation is currently reported for 169 countries. The highest value is 90 1000 t in Portugal; the lowest is -134 1000 t in Morocco.
The median across all reporting countries is 0 1000 t, and the mean is -0.1538 1000 t.
Over the past decade 19 countries rose and 16 fell. The largest increase was in Portugal (up 1,700.0%), and the largest decrease in United Arab Emirates (down 400.0%).
Olives (including preserved) β Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Portugal | 90 1000 t | 2023 | up 1,700.0% | volatile |
| 2 | Czechia | 7 1000 t | 2023 | β | rising |
| 3 | Algeria | 5 1000 t | 2023 | down 85.3% | volatile |
| 3 | United Kingdom of Great Britain and Northern Ireland | 5 1000 t | 2023 | β | volatile |
| 5 | Libya | 4 1000 t | 2023 | unchanged | volatile |
| 5 | Iran (Islamic Republic of) | 4 1000 t | 2023 | unchanged | volatile |
| 7 | Albania | 3 1000 t | 2023 | β | volatile |
| 7 | Italy | 3 1000 t | 2023 | up 103.6% | volatile |
| 7 | Sweden | 3 1000 t | 2023 | β | volatile |
| 10 | Switzerland | 2 1000 t | 2023 | up 100.0% | rising |
| 10 | Germany | 2 1000 t | 2023 | up 133.3% | volatile |
| 10 | Hungary | 2 1000 t | 2023 | unchanged | volatile |
| 10 | Norway | 2 1000 t | 2023 | β | volatile |
| 14 | Armenia | 1 1000 t | 2023 | unchanged | volatile |
| 14 | China | 1 1000 t | 2023 | β | volatile |
| 14 | Denmark | 1 1000 t | 2023 | up 150.0% | volatile |
| 14 | Spain | 1 1000 t | 2023 | down 90.0% | volatile |
| 14 | Ireland | 1 1000 t | 2023 | β | volatile |
| 14 | Lithuania | 1 1000 t | 2023 | β | rising |
| 14 | Latvia | 1 1000 t | 2023 | up 200.0% | volatile |
| 14 | North Macedonia | 1 1000 t | 2023 | β | volatile |
| 14 | Slovenia | 1 1000 t | 2023 | β | rising |
| 14 | Uzbekistan | 1 1000 t | 2023 | β | volatile |
| 14 | China, Taiwan Province of | 1 1000 t | 2023 | β | volatile |
| 25 | Angola | 0 1000 t | 2023 | β | volatile |
| 25 | Argentina | 0 1000 t | 2023 | up 100.0% | volatile |
| 25 | Antigua and Barbuda | 0 1000 t | 2023 | β | flat |
| 25 | Australia | 0 1000 t | 2023 | β | flat |
| 25 | Austria | 0 1000 t | 2023 | up 100.0% | volatile |
| 25 | Azerbaijan | 0 1000 t | 2023 | β | flat |
| 25 | Belgium | 0 1000 t | 2023 | β | volatile |
| 25 | Burkina Faso | 0 1000 t | 2023 | β | flat |
| 25 | Bangladesh | 0 1000 t | 2023 | β | flat |
| 25 | Bulgaria | 0 1000 t | 2023 | down 100.0% | volatile |
| 25 | Bahrain | 0 1000 t | 2023 | β | flat |
| 25 | Bahamas | 0 1000 t | 2023 | β | flat |
| 25 | Bosnia and Herzegovina | 0 1000 t | 2023 | β | flat |
| 25 | Belarus | 0 1000 t | 2023 | down 100.0% | volatile |
| 25 | Belize | 0 1000 t | 2023 | β | flat |
| 25 | Barbados | 0 1000 t | 2023 | β | flat |
| 25 | Bhutan | 0 1000 t | 2023 | β | flat |
| 25 | Botswana | 0 1000 t | 2023 | β | flat |
| 25 | Canada | 0 1000 t | 2023 | up 100.0% | volatile |
| 25 | Chile | 0 1000 t | 2023 | up 100.0% | volatile |
| 25 | Cameroon | 0 1000 t | 2023 | β | flat |
| 25 | Congo | 0 1000 t | 2023 | β | flat |
| 25 | Colombia | 0 1000 t | 2023 | β | volatile |
| 25 | Comoros | 0 1000 t | 2023 | β | flat |
| 25 | Costa Rica | 0 1000 t | 2023 | β | flat |
| 25 | Cuba | 0 1000 t | 2019 | β | flat |
| 25 | Cyprus | 0 1000 t | 2023 | β | flat |
| 25 | Dominican Republic | 0 1000 t | 2023 | β | flat |
| 25 | Ecuador | 0 1000 t | 2023 | β | flat |
| 25 | Egypt | 0 1000 t | 2023 | up 100.0% | flat |
| 25 | Estonia | 0 1000 t | 2023 | β | volatile |
| 25 | Ethiopia | 0 1000 t | 2023 | β | flat |
| 25 | Finland | 0 1000 t | 2023 | up 100.0% | volatile |
| 25 | Fiji | 0 1000 t | 2023 | β | flat |
| 25 | France | 0 1000 t | 2023 | β | flat |
| 25 | Gabon | 0 1000 t | 2023 | β | flat |
| 25 | Georgia | 0 1000 t | 2023 | β | flat |
| 25 | Ghana | 0 1000 t | 2023 | β | flat |
| 25 | Guinea | 0 1000 t | 2023 | β | flat |
| 25 | Gambia | 0 1000 t | 2023 | β | flat |
| 25 | Greece | 0 1000 t | 2023 | up 100.0% | volatile |
| 25 | Grenada | 0 1000 t | 2023 | β | flat |
| 25 | Guatemala | 0 1000 t | 2023 | β | flat |
| 25 | Guyana | 0 1000 t | 2023 | β | flat |
| 25 | Honduras | 0 1000 t | 2023 | β | flat |
| 25 | Croatia | 0 1000 t | 2023 | β | volatile |
| 25 | Haiti | 0 1000 t | 2023 | β | flat |
| 25 | Indonesia | 0 1000 t | 2023 | β | flat |
| 25 | India | 0 1000 t | 2023 | β | volatile |
| 25 | Iraq | 0 1000 t | 2023 | β | flat |
| 25 | Iceland | 0 1000 t | 2023 | β | flat |
| 25 | Israel | 0 1000 t | 2023 | β | volatile |
| 25 | Jamaica | 0 1000 t | 2023 | β | flat |
| 25 | Jordan | 0 1000 t | 2023 | up 100.0% | volatile |
| 25 | Kazakhstan | 0 1000 t | 2023 | β | flat |
| 25 | Kenya | 0 1000 t | 2023 | β | flat |
| 25 | Kyrgyzstan | 0 1000 t | 2023 | β | flat |
| 25 | Cambodia | 0 1000 t | 2023 | β | flat |
| 25 | Kuwait | 0 1000 t | 2023 | up 100.0% | volatile |
| 25 | Lebanon | 0 1000 t | 2023 | down 100.0% | volatile |
| 25 | Saint Lucia | 0 1000 t | 2023 | β | flat |
| 25 | Sri Lanka | 0 1000 t | 2023 | β | flat |
| 25 | Luxembourg | 0 1000 t | 2023 | down 100.0% | volatile |
| 25 | Madagascar | 0 1000 t | 2023 | β | flat |
| 25 | Maldives | 0 1000 t | 2023 | β | flat |
| 25 | Mexico | 0 1000 t | 2023 | β | volatile |
| 25 | Marshall Islands | 0 1000 t | 2023 | β | flat |
| 25 | Malta | 0 1000 t | 2023 | β | flat |
| 25 | Myanmar | 0 1000 t | 2023 | β | flat |
| 25 | Montenegro | 0 1000 t | 2023 | β | volatile |
| 25 | Mongolia | 0 1000 t | 2023 | β | flat |
| 25 | Mozambique | 0 1000 t | 2023 | β | flat |
| 25 | Mauritania | 0 1000 t | 2023 | β | flat |
| 25 | Mauritius | 0 1000 t | 2023 | β | flat |
| 25 | Malawi | 0 1000 t | 2023 | β | flat |
| 25 | Malaysia | 0 1000 t | 2023 | β | flat |
| 25 | Namibia | 0 1000 t | 2023 | β | flat |
| 25 | New Caledonia | 0 1000 t | 2023 | β | flat |
| 25 | Niger | 0 1000 t | 2023 | β | flat |
| 25 | Nigeria | 0 1000 t | 2023 | β | flat |
| 25 | Nicaragua | 0 1000 t | 2023 | β | flat |
| 25 | Nepal | 0 1000 t | 2023 | β | flat |
| 25 | Nauru | 0 1000 t | 2023 | β | flat |
| 25 | New Zealand | 0 1000 t | 2023 | up 100.0% | volatile |
| 25 | Oman | 0 1000 t | 2023 | up 100.0% | volatile |
| 25 | Pakistan | 0 1000 t | 2023 | β | flat |
| 25 | Panama | 0 1000 t | 2023 | β | volatile |
| 25 | Peru | 0 1000 t | 2023 | up 100.0% | volatile |
| 25 | Philippines | 0 1000 t | 2023 | β | flat |
| 25 | Papua New Guinea | 0 1000 t | 2023 | β | flat |
| 25 | Poland | 0 1000 t | 2023 | β | volatile |
| 25 | Paraguay | 0 1000 t | 2023 | β | flat |
| 25 | French Polynesia | 0 1000 t | 2023 | β | flat |
| 25 | Qatar | 0 1000 t | 2023 | β | flat |
| 25 | Romania | 0 1000 t | 2023 | down 100.0% | volatile |
| 25 | Rwanda | 0 1000 t | 2023 | β | flat |
| 25 | Saudi Arabia | 0 1000 t | 2023 | β | volatile |
| 25 | Senegal | 0 1000 t | 2023 | β | flat |
| 25 | Solomon Islands | 0 1000 t | 2023 | β | flat |
| 25 | Sierra Leone | 0 1000 t | 2023 | β | flat |
| 25 | El Salvador | 0 1000 t | 2023 | β | volatile |
| 25 | Serbia | 0 1000 t | 2023 | β | flat |
| 25 | Sao Tome and Principe | 0 1000 t | 2023 | β | flat |
| 25 | Suriname | 0 1000 t | 2023 | β | flat |
| 25 | Slovakia | 0 1000 t | 2023 | β | volatile |
| 25 | Eswatini | 0 1000 t | 2023 | β | flat |
| 25 | Seychelles | 0 1000 t | 2023 | β | flat |
| 25 | Thailand | 0 1000 t | 2023 | β | flat |
| 25 | Tajikistan | 0 1000 t | 2023 | β | flat |
| 25 | Tonga | 0 1000 t | 2023 | β | flat |
| 25 | Trinidad and Tobago | 0 1000 t | 2023 | β | flat |
| 25 | Tunisia | 0 1000 t | 2023 | down 100.0% | volatile |
| 25 | Uganda | 0 1000 t | 2023 | β | flat |
| 25 | Ukraine | 0 1000 t | 2023 | down 100.0% | flat |
| 25 | Uruguay | 0 1000 t | 2023 | β | flat |
| 25 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | β | flat |
| 25 | Vanuatu | 0 1000 t | 2023 | β | flat |
| 25 | Samoa | 0 1000 t | 2023 | β | flat |
| 25 | Yemen | 0 1000 t | 2023 | β | volatile |
| 25 | Zambia | 0 1000 t | 2023 | β | flat |
| 25 | Zimbabwe | 0 1000 t | 2023 | β | flat |
| 25 | Micronesia | 0 1000 t | 2023 | β | flat |
| 25 | Cabo Verde | 0 1000 t | 2023 | β | flat |
| 25 | Melanesia | 0 1000 t | 2023 | β | flat |
| 25 | Polynesia | 0 1000 t | 2023 | β | flat |
| 25 | Democratic Republic of the Congo | 0 1000 t | 2023 | β | flat |
| 25 | Caribbean | 0 1000 t | 2023 | β | flat |
| 25 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | β | flat |
| 25 | China, Hong Kong SAR | 0 1000 t | 2023 | β | flat |
| 25 | Republic of Korea | 0 1000 t | 2023 | down 100.0% | volatile |
| 25 | Republic of Moldova | 0 1000 t | 2023 | β | flat |
| 25 | Russian Federation | 0 1000 t | 2023 | down 100.0% | volatile |
| 25 | Syrian Arab Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 25 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | down 100.0% | flat |
| 25 | Viet Nam | 0 1000 t | 2023 | β | flat |
| 25 | Australia and New Zealand | 0 1000 t | 2023 | up 100.0% | volatile |
| 25 | China, mainland | 0 1000 t | 2023 | β | flat |
| 25 | CΓ΄te d'Ivoire | 0 1000 t | 2023 | β | flat |
| 25 | United Republic of Tanzania | 0 1000 t | 2023 | β | flat |
| 25 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | down 100.0% | volatile |
| 25 | China, Macao SAR | 0 1000 t | 2023 | β | flat |
| 166 | United Arab Emirates | -3 1000 t | 2023 | down 400.0% | volatile |
| 167 | Brazil | -9 1000 t | 2023 | down 164.3% | volatile |
| 168 | TΓΌrkiye | -23 1000 t | 2023 | β | volatile |
| 169 | Morocco | -134 1000 t | 2023 | β | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Europe 129 1000 t
- European Union (27) 115 1000 t
- Southern Europe 100 1000 t
- Northern Europe 14 1000 t
- Eastern Europe 9 1000 t
- Western Europe 5 1000 t
- Southern Asia 5 1000 t
- Land Locked Developing Countries (LLDCs) 3 1000 t
- Central Asia 1 1000 t
- Eastern Asia 1 1000 t
- Low Income Food Deficit Countries (LIFDCs) 1 1000 t
- South Africa 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.