Olives (including preserved) — Food 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) — Food is currently reported for 179 countries. The highest value is 434 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 26.01 1000 t.
Over the past decade 42 countries rose and 33 fell. The largest increase was in Saudi Arabia (up 1,982.3%), and the largest decrease in Afghanistan (down 100.0%).
Olives (including preserved) — Food: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Brazil | 434 1000 t | 2023 | up 24.4% | rising |
| 2 | Saudi Arabia | 354 1000 t | 2023 | up 1,982.3% | volatile |
| 3 | Greece | 350 1000 t | 2023 | up 250.0% | rising |
| 4 | Algeria | 334 1000 t | 2023 | up 178.3% | rising |
| 5 | France | 316 1000 t | 2023 | up 12.9% | rising |
| 6 | Egypt | 278 1000 t | 2023 | down 38.4% | rising |
| 7 | Italy | 265 1000 t | 2023 | up 18.8% | rising |
| 8 | Türkiye | 204 1000 t | 2023 | down 31.3% | volatile |
| 9 | Russian Federation | 181 1000 t | 2023 | down 61.0% | falling |
| 10 | United Kingdom of Great Britain and Northern Ireland | 155 1000 t | 2023 | up 15.7% | rising |
| 11 | Peru | 139 1000 t | 2023 | up 265.8% | volatile |
| 12 | Romania | 133 1000 t | 2023 | up 58.3% | rising |
| 13 | Morocco | 100 1000 t | 2023 | up 354.5% | volatile |
| 14 | Portugal | 97 1000 t | 2023 | up 304.2% | volatile |
| 15 | Germany | 76 1000 t | 2023 | up 8.6% | rising |
| 16 | Libya | 75 1000 t | 2023 | down 26.5% | falling |
| 17 | Tunisia | 64 1000 t | 2023 | up 433.3% | volatile |
| 17 | Australia and New Zealand | 64 1000 t | 2023 | down 41.8% | falling |
| 19 | Australia | 58 1000 t | 2023 | down 41.4% | falling |
| 19 | Belgium | 58 1000 t | 2023 | up 190.0% | rising |
| 19 | Iran (Islamic Republic of) | 58 1000 t | 2023 | up 34.9% | rising |
| 22 | Iraq | 56 1000 t | 2023 | up 154.5% | rising |
| 23 | Syrian Arab Republic | 55 1000 t | 2023 | down 24.7% | falling |
| 24 | Bulgaria | 45 1000 t | 2023 | down 13.5% | falling |
| 25 | Netherlands (Kingdom of the) | 39 1000 t | 2023 | up 39.3% | rising |
| 26 | Sweden | 37 1000 t | 2023 | unchanged | flat |
| 27 | Jordan | 36 1000 t | 2023 | up 63.6% | rising |
| 28 | Czechia | 32 1000 t | 2023 | up 18.5% | rising |
| 28 | Lebanon | 32 1000 t | 2023 | down 3.0% | rising |
| 30 | Canada | 30 1000 t | 2023 | up 15.4% | rising |
| 31 | Chile | 29 1000 t | 2023 | up 3.6% | rising |
| 32 | Albania | 28 1000 t | 2023 | up 40.0% | rising |
| 32 | Argentina | 28 1000 t | 2023 | down 6.7% | volatile |
| 34 | Switzerland | 26 1000 t | 2023 | up 23.8% | rising |
| 35 | Mexico | 25 1000 t | 2023 | down 13.8% | rising |
| 36 | Spain | 24 1000 t | 2023 | down 82.9% | falling |
| 37 | Austria | 23 1000 t | 2023 | up 15.0% | flat |
| 37 | Poland | 23 1000 t | 2023 | up 130.0% | rising |
| 39 | Hungary | 18 1000 t | 2023 | up 200.0% | volatile |
| 40 | Ireland | 16 1000 t | 2023 | up 60.0% | rising |
| 41 | Denmark | 15 1000 t | 2023 | up 25.0% | rising |
| 41 | Israel | 15 1000 t | 2023 | up 150.0% | volatile |
| 41 | North Macedonia | 15 1000 t | 2023 | up 7.1% | flat |
| 44 | United Arab Emirates | 14 1000 t | 2023 | up 75.0% | rising |
| 44 | Kuwait | 14 1000 t | 2023 | down 12.5% | flat |
| 46 | Armenia | 11 1000 t | 2023 | up 37.5% | rising |
| 46 | Finland | 11 1000 t | 2023 | unchanged | flat |
| 46 | Kazakhstan | 11 1000 t | 2023 | up 10.0% | falling |
| 46 | Ukraine | 11 1000 t | 2023 | down 15.4% | falling |
| 50 | Norway | 10 1000 t | 2023 | up 11.1% | rising |
| 51 | Croatia | 8 1000 t | 2023 | down 75.0% | volatile |
| 52 | Lithuania | 7 1000 t | 2023 | unchanged | rising |
| 52 | Latvia | 7 1000 t | 2023 | down 12.5% | rising |
| 52 | Slovakia | 7 1000 t | 2023 | unchanged | flat |
| 52 | Republic of Korea | 7 1000 t | 2023 | down 12.5% | falling |
| 52 | Venezuela (Bolivarian Republic of) | 7 1000 t | 2023 | unchanged | volatile |
| 57 | China | 6 1000 t | 2023 | unchanged | flat |
| 57 | New Zealand | 6 1000 t | 2023 | down 45.5% | falling |
| 59 | Belarus | 5 1000 t | 2023 | down 50.0% | volatile |
| 59 | Malta | 5 1000 t | 2023 | up 25.0% | rising |
| 61 | India | 4 1000 t | 2023 | up 300.0% | volatile |
| 61 | Slovenia | 4 1000 t | 2023 | unchanged | rising |
| 61 | China, Taiwan Province of | 4 1000 t | 2023 | up 33.3% | rising |
| 64 | Luxembourg | 3 1000 t | 2023 | up 200.0% | volatile |
| 64 | Montenegro | 3 1000 t | 2023 | up 200.0% | rising |
| 64 | Uruguay | 3 1000 t | 2023 | down 50.0% | falling |
| 67 | Azerbaijan | 2 1000 t | 2023 | up 100.0% | rising |
| 67 | Cyprus | 2 1000 t | 2023 | down 33.3% | falling |
| 67 | Estonia | 2 1000 t | 2023 | unchanged | rising |
| 67 | Georgia | 2 1000 t | 2023 | down 50.0% | volatile |
| 67 | Oman | 2 1000 t | 2023 | down 80.0% | volatile |
| 67 | Panama | 2 1000 t | 2023 | unchanged | rising |
| 67 | Qatar | 2 1000 t | 2023 | — | falling |
| 67 | El Salvador | 2 1000 t | 2023 | up 100.0% | rising |
| 67 | Serbia | 2 1000 t | 2023 | down 50.0% | volatile |
| 67 | Caribbean | 2 1000 t | 2023 | down 33.3% | falling |
| 67 | Republic of Moldova | 2 1000 t | 2023 | down 66.7% | falling |
| 67 | China, mainland | 2 1000 t | 2023 | up 100.0% | rising |
| 79 | Angola | 1 1000 t | 2023 | down 66.7% | volatile |
| 79 | Bahrain | 1 1000 t | 2023 | — | falling |
| 79 | Bosnia and Herzegovina | 1 1000 t | 2023 | unchanged | flat |
| 79 | Colombia | 1 1000 t | 2023 | unchanged | rising |
| 79 | Costa Rica | 1 1000 t | 2023 | down 50.0% | falling |
| 79 | Cuba | 1 1000 t | 2019 | unchanged | rising |
| 79 | Dominican Republic | 1 1000 t | 2023 | unchanged | falling |
| 79 | Ecuador | 1 1000 t | 2023 | unchanged | rising |
| 79 | Guatemala | 1 1000 t | 2023 | — | volatile |
| 79 | Honduras | 1 1000 t | 2023 | unchanged | falling |
| 79 | Iceland | 1 1000 t | 2023 | unchanged | flat |
| 79 | Maldives | 1 1000 t | 2023 | — | volatile |
| 79 | Malaysia | 1 1000 t | 2023 | unchanged | rising |
| 79 | Namibia | 1 1000 t | 2023 | — | volatile |
| 79 | Pakistan | 1 1000 t | 2023 | — | volatile |
| 79 | Philippines | 1 1000 t | 2023 | unchanged | rising |
| 79 | Paraguay | 1 1000 t | 2023 | unchanged | rising |
| 79 | Senegal | 1 1000 t | 2023 | unchanged | rising |
| 79 | Thailand | 1 1000 t | 2023 | unchanged | falling |
| 79 | Uzbekistan | 1 1000 t | 2023 | — | volatile |
| 79 | Yemen | 1 1000 t | 2023 | down 50.0% | volatile |
| 79 | China, Hong Kong SAR | 1 1000 t | 2023 | down 50.0% | falling |
| 79 | Viet Nam | 1 1000 t | 2023 | — | volatile |
| 102 | Afghanistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 102 | Antigua and Barbuda | 0 1000 t | 2023 | — | volatile |
| 102 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 102 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 102 | Bahamas | 0 1000 t | 2023 | — | flat |
| 102 | Belize | 0 1000 t | 2023 | — | flat |
| 102 | Barbados | 0 1000 t | 2023 | — | flat |
| 102 | Bhutan | 0 1000 t | 2023 | — | flat |
| 102 | Botswana | 0 1000 t | 2023 | — | volatile |
| 102 | Cameroon | 0 1000 t | 2023 | — | flat |
| 102 | Congo | 0 1000 t | 2023 | — | flat |
| 102 | Comoros | 0 1000 t | 2023 | — | flat |
| 102 | Djibouti | 0 1000 t | 2023 | — | flat |
| 102 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 102 | Fiji | 0 1000 t | 2023 | — | flat |
| 102 | Gabon | 0 1000 t | 2023 | — | flat |
| 102 | Ghana | 0 1000 t | 2023 | — | flat |
| 102 | Guinea | 0 1000 t | 2023 | — | flat |
| 102 | Gambia | 0 1000 t | 2023 | — | flat |
| 102 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 102 | Grenada | 0 1000 t | 2023 | — | flat |
| 102 | Guyana | 0 1000 t | 2023 | — | flat |
| 102 | Haiti | 0 1000 t | 2023 | — | flat |
| 102 | Indonesia | 0 1000 t | 2023 | — | flat |
| 102 | Jamaica | 0 1000 t | 2023 | — | flat |
| 102 | Kenya | 0 1000 t | 2023 | — | flat |
| 102 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 102 | Cambodia | 0 1000 t | 2023 | — | flat |
| 102 | Kiribati | 0 1000 t | 2023 | — | flat |
| 102 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 102 | Liberia | 0 1000 t | 2023 | — | flat |
| 102 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 102 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 102 | Lesotho | 0 1000 t | 2023 | — | flat |
| 102 | Madagascar | 0 1000 t | 2023 | — | flat |
| 102 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 102 | Myanmar | 0 1000 t | 2023 | — | flat |
| 102 | Mongolia | 0 1000 t | 2023 | — | flat |
| 102 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 102 | Mauritania | 0 1000 t | 2023 | — | flat |
| 102 | Mauritius | 0 1000 t | 2023 | down 100.0% | volatile |
| 102 | Malawi | 0 1000 t | 2023 | — | flat |
| 102 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 102 | Niger | 0 1000 t | 2023 | — | flat |
| 102 | Nigeria | 0 1000 t | 2023 | — | flat |
| 102 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 102 | Nepal | 0 1000 t | 2023 | — | flat |
| 102 | Nauru | 0 1000 t | 2023 | — | flat |
| 102 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 102 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 102 | Rwanda | 0 1000 t | 2023 | — | flat |
| 102 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 102 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 102 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 102 | Suriname | 0 1000 t | 2023 | — | flat |
| 102 | Eswatini | 0 1000 t | 2023 | — | flat |
| 102 | Seychelles | 0 1000 t | 2023 | — | flat |
| 102 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 102 | Turkmenistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 102 | Tonga | 0 1000 t | 2023 | — | flat |
| 102 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 102 | Uganda | 0 1000 t | 2023 | — | flat |
| 102 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 102 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 102 | Samoa | 0 1000 t | 2023 | — | flat |
| 102 | Zambia | 0 1000 t | 2023 | — | flat |
| 102 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 102 | Micronesia | 0 1000 t | 2023 | — | flat |
| 102 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 102 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 102 | Melanesia | 0 1000 t | 2023 | — | volatile |
| 102 | Polynesia | 0 1000 t | 2023 | — | flat |
| 102 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 102 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 102 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 102 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 102 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 102 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 5,099 1000 t
- Europe 2,057 1000 t
- European Union (27) 1,618 1000 t
- Americas 1,216 1000 t
- Asia 904 1000 t
- Africa 858 1000 t
- Northern Africa 850 1000 t
- Western Asia 806 1000 t
- Southern Europe 802 1000 t
- South America 642 1000 t
- Net Food Importing Developing Countries (NFIDCs) 637 1000 t
- Northern America 541 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.