Olives (including preserved) — Domestic supply 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) — Domestic supply quantity is currently reported for 179 countries. The highest value is 4,713 1000 t in Spain; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 1 1000 t, and the mean is 119.69 1000 t.
Over the past decade 44 countries rose and 31 fell. The largest increase was in Saudi Arabia (up 2,070.6%), and the largest decrease in Mauritius (down 100.0%).
Olives (including preserved) — Domestic supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Spain | 4,713 1000 t | 2023 | down 46.8% | falling |
| 2 | Greece | 2,831 1000 t | 2023 | up 55.2% | rising |
| 3 | Italy | 2,481 1000 t | 2023 | down 19.4% | falling |
| 4 | Türkiye | 1,458 1000 t | 2023 | down 9.3% | rising |
| 5 | Morocco | 1,107 1000 t | 2023 | down 0.2% | rising |
| 6 | Portugal | 1,098 1000 t | 2023 | up 76.5% | rising |
| 7 | Tunisia | 1,078 1000 t | 2023 | down 1.8% | rising |
| 8 | Egypt | 942 1000 t | 2023 | up 99.6% | rising |
| 9 | Algeria | 904 1000 t | 2023 | up 62.3% | rising |
| 10 | Syrian Arab Republic | 691 1000 t | 2023 | down 17.3% | falling |
| 11 | Brazil | 435 1000 t | 2023 | up 24.6% | rising |
| 12 | Saudi Arabia | 369 1000 t | 2023 | up 2,070.6% | volatile |
| 13 | France | 335 1000 t | 2023 | up 10.6% | rising |
| 14 | Argentina | 292 1000 t | 2023 | up 57.0% | rising |
| 15 | Russian Federation | 181 1000 t | 2023 | down 61.0% | falling |
| 16 | Peru | 166 1000 t | 2023 | up 260.9% | volatile |
| 17 | Australia and New Zealand | 165 1000 t | 2023 | down 19.1% | falling |
| 18 | Jordan | 161 1000 t | 2023 | up 32.0% | rising |
| 19 | Australia | 159 1000 t | 2023 | down 17.6% | falling |
| 19 | Chile | 159 1000 t | 2023 | up 45.9% | rising |
| 21 | United Kingdom of Great Britain and Northern Ireland | 155 1000 t | 2023 | up 15.7% | rising |
| 22 | Libya | 152 1000 t | 2023 | down 25.1% | falling |
| 23 | Romania | 133 1000 t | 2023 | up 58.3% | rising |
| 24 | Lebanon | 121 1000 t | 2023 | up 12.0% | flat |
| 25 | Albania | 112 1000 t | 2023 | up 21.7% | rising |
| 26 | Iran (Islamic Republic of) | 110 1000 t | 2023 | up 15.8% | rising |
| 27 | Germany | 76 1000 t | 2023 | up 8.6% | rising |
| 28 | Israel | 61 1000 t | 2023 | down 29.9% | rising |
| 29 | Belgium | 58 1000 t | 2023 | up 190.0% | rising |
| 29 | Iraq | 58 1000 t | 2023 | up 141.7% | rising |
| 31 | Bulgaria | 45 1000 t | 2023 | down 13.5% | falling |
| 32 | Netherlands (Kingdom of the) | 39 1000 t | 2023 | up 39.3% | rising |
| 33 | Sweden | 37 1000 t | 2023 | unchanged | flat |
| 34 | Croatia | 33 1000 t | 2023 | down 8.3% | falling |
| 34 | Mexico | 33 1000 t | 2023 | down 5.7% | rising |
| 36 | Czechia | 32 1000 t | 2023 | up 18.5% | rising |
| 37 | Canada | 30 1000 t | 2023 | up 15.4% | rising |
| 38 | Switzerland | 26 1000 t | 2023 | up 23.8% | rising |
| 38 | North Macedonia | 26 1000 t | 2023 | up 13.0% | rising |
| 40 | Austria | 23 1000 t | 2023 | up 15.0% | flat |
| 40 | Cyprus | 23 1000 t | 2023 | up 76.9% | rising |
| 40 | Poland | 23 1000 t | 2023 | up 130.0% | rising |
| 43 | United Arab Emirates | 19 1000 t | 2023 | up 46.2% | rising |
| 44 | Hungary | 18 1000 t | 2023 | up 200.0% | volatile |
| 45 | Uruguay | 17 1000 t | 2023 | up 88.9% | rising |
| 46 | Ireland | 16 1000 t | 2023 | up 60.0% | rising |
| 47 | Denmark | 14 1000 t | 2023 | up 16.7% | rising |
| 47 | Kuwait | 14 1000 t | 2023 | down 12.5% | flat |
| 49 | El Salvador | 13 1000 t | 2023 | up 18.2% | rising |
| 50 | Armenia | 11 1000 t | 2023 | up 37.5% | rising |
| 50 | Finland | 11 1000 t | 2023 | unchanged | flat |
| 50 | Kazakhstan | 11 1000 t | 2023 | up 10.0% | falling |
| 50 | Ukraine | 11 1000 t | 2023 | down 15.4% | falling |
| 54 | Norway | 10 1000 t | 2023 | up 11.1% | rising |
| 55 | Afghanistan | 8 1000 t | 2023 | up 14.3% | rising |
| 56 | Azerbaijan | 7 1000 t | 2023 | up 600.0% | volatile |
| 56 | Lithuania | 7 1000 t | 2023 | unchanged | rising |
| 56 | Latvia | 7 1000 t | 2023 | down 12.5% | rising |
| 56 | Slovakia | 7 1000 t | 2023 | unchanged | flat |
| 56 | Republic of Korea | 7 1000 t | 2023 | down 12.5% | falling |
| 56 | Venezuela (Bolivarian Republic of) | 7 1000 t | 2023 | unchanged | volatile |
| 62 | New Zealand | 6 1000 t | 2023 | down 45.5% | falling |
| 63 | Belarus | 5 1000 t | 2023 | down 50.0% | volatile |
| 63 | China | 5 1000 t | 2023 | down 16.7% | falling |
| 63 | Malta | 5 1000 t | 2023 | up 25.0% | rising |
| 63 | Slovenia | 5 1000 t | 2023 | unchanged | rising |
| 67 | India | 4 1000 t | 2023 | up 300.0% | volatile |
| 67 | China, Taiwan Province of | 4 1000 t | 2023 | up 33.3% | rising |
| 69 | Luxembourg | 3 1000 t | 2023 | up 200.0% | volatile |
| 69 | Montenegro | 3 1000 t | 2023 | up 200.0% | rising |
| 71 | Cuba | 2 1000 t | 2019 | up 100.0% | rising |
| 71 | Estonia | 2 1000 t | 2023 | unchanged | rising |
| 71 | Georgia | 2 1000 t | 2023 | down 50.0% | volatile |
| 71 | Oman | 2 1000 t | 2023 | down 80.0% | volatile |
| 71 | Panama | 2 1000 t | 2023 | unchanged | rising |
| 71 | Qatar | 2 1000 t | 2023 | — | falling |
| 71 | Serbia | 2 1000 t | 2023 | down 50.0% | volatile |
| 71 | Republic of Moldova | 2 1000 t | 2023 | down 66.7% | falling |
| 80 | Angola | 1 1000 t | 2023 | — | volatile |
| 80 | Bahrain | 1 1000 t | 2023 | — | falling |
| 80 | Bosnia and Herzegovina | 1 1000 t | 2023 | unchanged | rising |
| 80 | Colombia | 1 1000 t | 2023 | unchanged | rising |
| 80 | Costa Rica | 1 1000 t | 2023 | down 50.0% | falling |
| 80 | Dominican Republic | 1 1000 t | 2023 | unchanged | falling |
| 80 | Ecuador | 1 1000 t | 2023 | unchanged | rising |
| 80 | Guatemala | 1 1000 t | 2023 | — | volatile |
| 80 | Honduras | 1 1000 t | 2023 | unchanged | falling |
| 80 | Iceland | 1 1000 t | 2023 | unchanged | flat |
| 80 | Maldives | 1 1000 t | 2023 | — | volatile |
| 80 | Malaysia | 1 1000 t | 2023 | unchanged | rising |
| 80 | Namibia | 1 1000 t | 2023 | — | volatile |
| 80 | Pakistan | 1 1000 t | 2023 | — | volatile |
| 80 | Paraguay | 1 1000 t | 2023 | unchanged | rising |
| 80 | Senegal | 1 1000 t | 2023 | unchanged | rising |
| 80 | Thailand | 1 1000 t | 2023 | unchanged | flat |
| 80 | Uzbekistan | 1 1000 t | 2023 | — | volatile |
| 80 | Yemen | 1 1000 t | 2023 | down 50.0% | volatile |
| 80 | China, Hong Kong SAR | 1 1000 t | 2023 | down 50.0% | falling |
| 80 | Viet Nam | 1 1000 t | 2023 | — | volatile |
| 80 | China, mainland | 1 1000 t | 2023 | unchanged | rising |
| 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 | Philippines | 0 1000 t | 2023 | down 100.0% | volatile |
| 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 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | 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 21,967 1000 t
- Europe 12,584 1000 t
- European Union (27) 12,072 1000 t
- Southern Europe 11,311 1000 t
- Africa 4,190 1000 t
- Northern Africa 4,182 1000 t
- Net Food Importing Developing Countries (NFIDCs) 3,493 1000 t
- Asia 3,271 1000 t
- Western Asia 3,116 1000 t
- Americas 1,756 1000 t
- South America 1,079 1000 t
- Low Income Food Deficit Countries (LIFDCs) 705 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.