Olives (including preserved) — Import 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) — Import quantity is currently reported for 179 countries. The highest value is 420 1000 t in Brazil; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 1 1000 t, and the mean is 14.92 1000 t.
Over the past decade 46 countries rose and 30 fell. The largest increase was in Iraq (up 625.0%), and the largest decrease in Afghanistan (down 100.0%).
Olives (including preserved) — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Brazil | 420 1000 t | 2023 | up 15.4% | rising |
| 2 | France | 316 1000 t | 2023 | up 10.1% | rising |
| 3 | Russian Federation | 183 1000 t | 2023 | down 60.9% | falling |
| 4 | United Kingdom of Great Britain and Northern Ireland | 162 1000 t | 2023 | up 18.2% | rising |
| 5 | Romania | 135 1000 t | 2023 | up 42.1% | rising |
| 6 | Italy | 129 1000 t | 2023 | up 59.3% | rising |
| 7 | Belgium | 114 1000 t | 2023 | up 103.6% | rising |
| 8 | Spain | 91 1000 t | 2023 | up 203.3% | volatile |
| 9 | Germany | 87 1000 t | 2023 | up 10.1% | rising |
| 10 | Portugal | 82 1000 t | 2023 | up 412.5% | volatile |
| 11 | Netherlands (Kingdom of the) | 72 1000 t | 2023 | up 75.6% | rising |
| 12 | Australia and New Zealand | 65 1000 t | 2023 | down 38.1% | falling |
| 13 | Australia | 59 1000 t | 2023 | down 41.0% | falling |
| 14 | Czechia | 55 1000 t | 2023 | up 27.9% | rising |
| 15 | Bulgaria | 50 1000 t | 2023 | down 37.5% | falling |
| 16 | Sweden | 41 1000 t | 2023 | up 7.9% | rising |
| 17 | Greece | 32 1000 t | 2023 | up 146.2% | rising |
| 18 | Canada | 30 1000 t | 2023 | up 15.4% | rising |
| 18 | Poland | 30 1000 t | 2023 | up 76.5% | rising |
| 18 | Saudi Arabia | 30 1000 t | 2023 | up 76.5% | rising |
| 21 | Switzerland | 29 1000 t | 2023 | up 31.8% | rising |
| 21 | Iraq | 29 1000 t | 2023 | up 625.0% | rising |
| 23 | Austria | 25 1000 t | 2023 | down 7.4% | falling |
| 24 | Chile | 23 1000 t | 2023 | up 76.9% | rising |
| 25 | Hungary | 21 1000 t | 2023 | up 200.0% | rising |
| 26 | United Arab Emirates | 20 1000 t | 2023 | up 33.3% | rising |
| 27 | Armenia | 18 1000 t | 2023 | up 50.0% | rising |
| 27 | Ireland | 18 1000 t | 2023 | up 80.0% | rising |
| 27 | Lithuania | 18 1000 t | 2023 | up 100.0% | rising |
| 30 | Latvia | 17 1000 t | 2023 | up 70.0% | rising |
| 30 | North Macedonia | 17 1000 t | 2023 | up 13.3% | rising |
| 32 | Denmark | 16 1000 t | 2023 | up 45.5% | rising |
| 33 | Israel | 15 1000 t | 2023 | up 25.0% | rising |
| 34 | Kuwait | 14 1000 t | 2023 | down 6.7% | flat |
| 35 | Albania | 11 1000 t | 2023 | up 450.0% | volatile |
| 35 | Finland | 11 1000 t | 2023 | down 8.3% | falling |
| 35 | Kazakhstan | 11 1000 t | 2023 | up 10.0% | falling |
| 35 | Norway | 11 1000 t | 2023 | up 37.5% | rising |
| 35 | Ukraine | 11 1000 t | 2023 | down 31.2% | falling |
| 40 | Mexico | 9 1000 t | 2023 | up 12.5% | rising |
| 41 | Libya | 8 1000 t | 2023 | down 60.0% | volatile |
| 41 | Slovakia | 8 1000 t | 2023 | unchanged | rising |
| 43 | Republic of Korea | 7 1000 t | 2023 | down 22.2% | rising |
| 43 | Venezuela (Bolivarian Republic of) | 7 1000 t | 2023 | down 22.2% | volatile |
| 45 | New Zealand | 6 1000 t | 2023 | up 20.0% | falling |
| 46 | Belarus | 5 1000 t | 2023 | down 72.2% | volatile |
| 46 | China | 5 1000 t | 2023 | down 16.7% | falling |
| 46 | Algeria | 5 1000 t | 2023 | down 58.3% | volatile |
| 46 | India | 5 1000 t | 2023 | up 400.0% | volatile |
| 46 | Malta | 5 1000 t | 2023 | up 25.0% | rising |
| 46 | Slovenia | 5 1000 t | 2023 | up 25.0% | rising |
| 52 | Luxembourg | 4 1000 t | 2023 | up 300.0% | rising |
| 52 | Morocco | 4 1000 t | 2023 | — | volatile |
| 54 | Croatia | 3 1000 t | 2023 | up 50.0% | rising |
| 54 | Serbia | 3 1000 t | 2023 | down 40.0% | falling |
| 54 | Uruguay | 3 1000 t | 2023 | up 50.0% | rising |
| 54 | Türkiye | 3 1000 t | 2023 | — | volatile |
| 58 | Azerbaijan | 2 1000 t | 2023 | up 100.0% | rising |
| 58 | Cuba | 2 1000 t | 2019 | up 100.0% | rising |
| 58 | Estonia | 2 1000 t | 2023 | down 33.3% | rising |
| 58 | Georgia | 2 1000 t | 2023 | down 50.0% | falling |
| 58 | Jordan | 2 1000 t | 2023 | unchanged | rising |
| 58 | Lebanon | 2 1000 t | 2023 | down 71.4% | falling |
| 58 | Montenegro | 2 1000 t | 2023 | up 100.0% | rising |
| 58 | Malaysia | 2 1000 t | 2023 | up 100.0% | rising |
| 58 | Oman | 2 1000 t | 2023 | down 80.0% | falling |
| 58 | Panama | 2 1000 t | 2023 | unchanged | rising |
| 58 | Qatar | 2 1000 t | 2023 | — | falling |
| 58 | El Salvador | 2 1000 t | 2023 | up 100.0% | rising |
| 58 | Caribbean | 2 1000 t | 2023 | down 33.3% | falling |
| 58 | Republic of Moldova | 2 1000 t | 2023 | down 66.7% | falling |
| 58 | China, mainland | 2 1000 t | 2023 | up 100.0% | rising |
| 58 | China, Taiwan Province of | 2 1000 t | 2023 | up 100.0% | rising |
| 74 | Angola | 1 1000 t | 2023 | down 66.7% | falling |
| 74 | Bahrain | 1 1000 t | 2023 | — | falling |
| 74 | Bosnia and Herzegovina | 1 1000 t | 2023 | — | volatile |
| 74 | Colombia | 1 1000 t | 2023 | unchanged | rising |
| 74 | Costa Rica | 1 1000 t | 2023 | down 50.0% | falling |
| 74 | Cyprus | 1 1000 t | 2023 | unchanged | flat |
| 74 | Dominican Republic | 1 1000 t | 2023 | unchanged | falling |
| 74 | Ecuador | 1 1000 t | 2023 | unchanged | rising |
| 74 | Guatemala | 1 1000 t | 2023 | unchanged | rising |
| 74 | Honduras | 1 1000 t | 2023 | unchanged | falling |
| 74 | Iceland | 1 1000 t | 2023 | unchanged | flat |
| 74 | Maldives | 1 1000 t | 2023 | — | volatile |
| 74 | Namibia | 1 1000 t | 2023 | — | volatile |
| 74 | Pakistan | 1 1000 t | 2023 | — | volatile |
| 74 | Peru | 1 1000 t | 2023 | — | volatile |
| 74 | Philippines | 1 1000 t | 2023 | unchanged | rising |
| 74 | Paraguay | 1 1000 t | 2023 | unchanged | rising |
| 74 | Senegal | 1 1000 t | 2023 | unchanged | rising |
| 74 | Thailand | 1 1000 t | 2023 | unchanged | falling |
| 74 | Tunisia | 1 1000 t | 2023 | unchanged | volatile |
| 74 | Uzbekistan | 1 1000 t | 2023 | — | volatile |
| 74 | Yemen | 1 1000 t | 2023 | down 50.0% | volatile |
| 74 | China, Hong Kong SAR | 1 1000 t | 2023 | down 66.7% | falling |
| 74 | Viet Nam | 1 1000 t | 2023 | — | volatile |
| 74 | Côte d'Ivoire | 1 1000 t | 2023 | — | volatile |
| 99 | Afghanistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 99 | Argentina | 0 1000 t | 2023 | — | flat |
| 99 | Antigua and Barbuda | 0 1000 t | 2023 | — | volatile |
| 99 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 99 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 99 | Bahamas | 0 1000 t | 2023 | — | flat |
| 99 | Belize | 0 1000 t | 2023 | — | flat |
| 99 | Barbados | 0 1000 t | 2023 | — | flat |
| 99 | Bhutan | 0 1000 t | 2023 | — | flat |
| 99 | Botswana | 0 1000 t | 2023 | — | volatile |
| 99 | Cameroon | 0 1000 t | 2023 | — | flat |
| 99 | Congo | 0 1000 t | 2023 | — | flat |
| 99 | Comoros | 0 1000 t | 2023 | — | flat |
| 99 | Djibouti | 0 1000 t | 2023 | — | flat |
| 99 | Egypt | 0 1000 t | 2023 | down 100.0% | volatile |
| 99 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 99 | Fiji | 0 1000 t | 2023 | — | flat |
| 99 | Gabon | 0 1000 t | 2023 | — | flat |
| 99 | Ghana | 0 1000 t | 2023 | — | flat |
| 99 | Guinea | 0 1000 t | 2023 | — | flat |
| 99 | Gambia | 0 1000 t | 2023 | — | flat |
| 99 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 99 | Grenada | 0 1000 t | 2023 | — | flat |
| 99 | Guyana | 0 1000 t | 2023 | — | flat |
| 99 | Haiti | 0 1000 t | 2023 | — | flat |
| 99 | Indonesia | 0 1000 t | 2023 | — | flat |
| 99 | Jamaica | 0 1000 t | 2023 | — | flat |
| 99 | Kenya | 0 1000 t | 2023 | — | flat |
| 99 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 99 | Cambodia | 0 1000 t | 2023 | — | flat |
| 99 | Kiribati | 0 1000 t | 2023 | — | flat |
| 99 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 99 | Liberia | 0 1000 t | 2023 | — | flat |
| 99 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 99 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 99 | Lesotho | 0 1000 t | 2023 | — | flat |
| 99 | Madagascar | 0 1000 t | 2023 | — | flat |
| 99 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 99 | Myanmar | 0 1000 t | 2023 | — | flat |
| 99 | Mongolia | 0 1000 t | 2023 | — | flat |
| 99 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 99 | Mauritania | 0 1000 t | 2023 | — | flat |
| 99 | Mauritius | 0 1000 t | 2023 | down 100.0% | volatile |
| 99 | Malawi | 0 1000 t | 2023 | — | flat |
| 99 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 99 | Niger | 0 1000 t | 2023 | — | flat |
| 99 | Nigeria | 0 1000 t | 2023 | — | flat |
| 99 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 99 | Nepal | 0 1000 t | 2023 | — | flat |
| 99 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 99 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 99 | Rwanda | 0 1000 t | 2023 | — | flat |
| 99 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 99 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 99 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 99 | Suriname | 0 1000 t | 2023 | — | flat |
| 99 | Eswatini | 0 1000 t | 2023 | — | flat |
| 99 | Seychelles | 0 1000 t | 2023 | — | flat |
| 99 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 99 | Turkmenistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 99 | Tonga | 0 1000 t | 2023 | — | flat |
| 99 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 99 | Uganda | 0 1000 t | 2023 | — | flat |
| 99 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 99 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 99 | Samoa | 0 1000 t | 2023 | — | flat |
| 99 | Zambia | 0 1000 t | 2023 | — | flat |
| 99 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 99 | Micronesia | 0 1000 t | 2023 | — | flat |
| 99 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 99 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 99 | Melanesia | 0 1000 t | 2023 | — | flat |
| 99 | Polynesia | 0 1000 t | 2023 | — | flat |
| 99 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 99 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 99 | Iran (Islamic Republic of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 99 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 99 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 99 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 99 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | flat |
| 99 | China, Macao SAR | 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 3,117 1000 t
- Europe 1,823 1000 t
- European Union (27) 1,385 1000 t
- Americas 1,010 1000 t
- Western Europe 646 1000 t
- Northern America 535 1000 t
- United States of America 505 1000 t
- Eastern Europe 500 1000 t
- South America 457 1000 t
- Southern Europe 381 1000 t
- Northern Europe 296 1000 t
- Asia 189 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.