Oilcrops Oil, Other — 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
Oilcrops Oil, Other — Stock Variation is currently reported for 164 countries. The highest value is 206 1000 t in Netherlands (Kingdom of the); the lowest is -49 1000 t in Malaysia.
The median across all reporting countries is 0 1000 t, and the mean is 2.26 1000 t.
The gap between the highest and lowest reporting country is a factor of about 4.
Over the past decade 37 countries rose and 34 fell. The largest increase was in France (up 7,600.0%), and the largest decrease in Oman (down 1,200.0%).
Oilcrops Oil, Other — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Netherlands (Kingdom of the) | 206 1000 t | 2023 | up 836.4% | volatile |
| 2 | France | 150 1000 t | 2023 | up 7,600.0% | volatile |
| 3 | Kenya | 72 1000 t | 2023 | up 132.3% | volatile |
| 4 | Ecuador | 14 1000 t | 2023 | up 800.0% | volatile |
| 4 | Spain | 14 1000 t | 2023 | — | volatile |
| 6 | Romania | 10 1000 t | 2023 | up 300.0% | volatile |
| 7 | Greece | 9 1000 t | 2023 | up 125.0% | volatile |
| 7 | India | 9 1000 t | 2023 | up 120.5% | volatile |
| 9 | Lithuania | 7 1000 t | 2023 | — | volatile |
| 10 | Poland | 6 1000 t | 2023 | up 250.0% | volatile |
| 11 | Czechia | 5 1000 t | 2023 | — | volatile |
| 12 | United Arab Emirates | 4 1000 t | 2023 | down 50.0% | volatile |
| 12 | Belgium | 4 1000 t | 2023 | down 55.6% | volatile |
| 12 | Indonesia | 4 1000 t | 2023 | up 300.0% | volatile |
| 12 | Pakistan | 4 1000 t | 2023 | up 233.3% | volatile |
| 16 | Croatia | 3 1000 t | 2023 | — | volatile |
| 16 | Slovak Republic | 3 1000 t | 2023 | up 200.0% | volatile |
| 16 | Sweden | 3 1000 t | 2023 | — | volatile |
| 16 | Trinidad and Tobago | 3 1000 t | 2023 | up 200.0% | volatile |
| 16 | Tunisia | 3 1000 t | 2023 | unchanged | volatile |
| 21 | Switzerland | 2 1000 t | 2023 | — | volatile |
| 21 | Honduras | 2 1000 t | 2023 | up 166.7% | volatile |
| 21 | Kazakhstan | 2 1000 t | 2023 | up 100.0% | volatile |
| 21 | Norway | 2 1000 t | 2023 | — | volatile |
| 21 | Nepal | 2 1000 t | 2023 | up 300.0% | volatile |
| 21 | Portugal | 2 1000 t | 2023 | — | volatile |
| 21 | Tajikistan | 2 1000 t | 2023 | up 100.0% | volatile |
| 28 | Chile | 1 1000 t | 2023 | down 80.0% | volatile |
| 28 | Cyprus | 1 1000 t | 2023 | — | volatile |
| 28 | Algeria | 1 1000 t | 2023 | down 75.0% | volatile |
| 28 | Jamaica | 1 1000 t | 2023 | down 66.7% | volatile |
| 28 | Lebanon | 1 1000 t | 2023 | up 200.0% | volatile |
| 28 | Myanmar | 1 1000 t | 2023 | unchanged | volatile |
| 28 | Mozambique | 1 1000 t | 2023 | up 200.0% | volatile |
| 28 | Namibia | 1 1000 t | 2023 | — | volatile |
| 28 | Nigeria | 1 1000 t | 2023 | down 80.0% | volatile |
| 28 | El Salvador | 1 1000 t | 2023 | unchanged | volatile |
| 28 | South Africa | 1 1000 t | 2023 | up 125.0% | volatile |
| 28 | China, Taiwan Province of | 1 1000 t | 2023 | — | volatile |
| 40 | Afghanistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Albania | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Argentina | 0 1000 t | 2023 | up 100.0% | volatile |
| 40 | Armenia | 0 1000 t | 2023 | up 100.0% | volatile |
| 40 | Antigua and Barbuda | 0 1000 t | 2023 | — | volatile |
| 40 | Azerbaijan | 0 1000 t | 2023 | up 100.0% | volatile |
| 40 | Burkina Faso | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 40 | Bulgaria | 0 1000 t | 2023 | — | volatile |
| 40 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 40 | Bahamas | 0 1000 t | 2023 | — | flat |
| 40 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | volatile |
| 40 | Belarus | 0 1000 t | 2023 | up 100.0% | volatile |
| 40 | Belize | 0 1000 t | 2023 | — | volatile |
| 40 | Barbados | 0 1000 t | 2023 | up 100.0% | volatile |
| 40 | Bhutan | 0 1000 t | 2023 | — | volatile |
| 40 | Botswana | 0 1000 t | 2023 | — | flat |
| 40 | Congo | 0 1000 t | 2023 | — | volatile |
| 40 | Comoros | 0 1000 t | 2023 | — | flat |
| 40 | Costa Rica | 0 1000 t | 2023 | up 100.0% | volatile |
| 40 | Cuba | 0 1000 t | 2019 | — | volatile |
| 40 | Denmark | 0 1000 t | 2023 | — | volatile |
| 40 | Dominican Republic | 0 1000 t | 2023 | — | volatile |
| 40 | Egypt | 0 1000 t | 2023 | up 100.0% | volatile |
| 40 | Estonia | 0 1000 t | 2023 | — | volatile |
| 40 | Ethiopia | 0 1000 t | 2023 | up 100.0% | volatile |
| 40 | Finland | 0 1000 t | 2023 | up 100.0% | volatile |
| 40 | Fiji | 0 1000 t | 2023 | — | volatile |
| 40 | Gabon | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Guinea | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Gambia | 0 1000 t | 2023 | — | volatile |
| 40 | Guinea-Bissau | 0 1000 t | 2023 | — | volatile |
| 40 | Grenada | 0 1000 t | 2023 | — | flat |
| 40 | Guyana | 0 1000 t | 2023 | — | flat |
| 40 | Haiti | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Hungary | 0 1000 t | 2023 | — | volatile |
| 40 | Ireland | 0 1000 t | 2023 | — | flat |
| 40 | Iceland | 0 1000 t | 2023 | — | volatile |
| 40 | Israel | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Italy | 0 1000 t | 2023 | up 100.0% | volatile |
| 40 | Jordan | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Kyrgyzstan | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Cambodia | 0 1000 t | 2023 | — | flat |
| 40 | Kiribati | 0 1000 t | 2023 | — | flat |
| 40 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 40 | Liberia | 0 1000 t | 2023 | — | volatile |
| 40 | Libya | 0 1000 t | 2023 | — | volatile |
| 40 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 40 | Sri Lanka | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Lesotho | 0 1000 t | 2023 | — | volatile |
| 40 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 40 | Latvia | 0 1000 t | 2023 | — | volatile |
| 40 | Morocco | 0 1000 t | 2023 | — | volatile |
| 40 | Madagascar | 0 1000 t | 2023 | — | volatile |
| 40 | Maldives | 0 1000 t | 2023 | — | volatile |
| 40 | Mexico | 0 1000 t | 2023 | up 100.0% | volatile |
| 40 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 40 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 40 | Malta | 0 1000 t | 2023 | — | flat |
| 40 | Montenegro | 0 1000 t | 2023 | — | volatile |
| 40 | Mongolia | 0 1000 t | 2023 | — | flat |
| 40 | Mauritania | 0 1000 t | 2023 | — | volatile |
| 40 | Mauritius | 0 1000 t | 2023 | — | volatile |
| 40 | Malawi | 0 1000 t | 2023 | — | flat |
| 40 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 40 | Niger | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 40 | Nauru | 0 1000 t | 2023 | — | flat |
| 40 | New Zealand | 0 1000 t | 2023 | — | volatile |
| 40 | Panama | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Peru | 0 1000 t | 2023 | — | volatile |
| 40 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 40 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 40 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 40 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 40 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 40 | Sierra Leone | 0 1000 t | 2023 | — | volatile |
| 40 | Serbia | 0 1000 t | 2023 | — | flat |
| 40 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 40 | Suriname | 0 1000 t | 2023 | — | volatile |
| 40 | Slovenia | 0 1000 t | 2023 | — | flat |
| 40 | Eswatini | 0 1000 t | 2023 | — | flat |
| 40 | Seychelles | 0 1000 t | 2023 | — | flat |
| 40 | Turkmenistan | 0 1000 t | 2023 | — | volatile |
| 40 | Tonga | 0 1000 t | 2023 | — | flat |
| 40 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 40 | Uganda | 0 1000 t | 2023 | — | volatile |
| 40 | Ukraine | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Uruguay | 0 1000 t | 2023 | up 100.0% | volatile |
| 40 | Uzbekistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | volatile |
| 40 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 40 | Samoa | 0 1000 t | 2023 | — | flat |
| 40 | Yemen | 0 1000 t | 2023 | up 100.0% | volatile |
| 40 | Zambia | 0 1000 t | 2023 | — | volatile |
| 40 | Zimbabwe | 0 1000 t | 2023 | up 100.0% | volatile |
| 40 | Republic of Korea | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | China, mainland | 0 1000 t | 2023 | up 100.0% | volatile |
| 40 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | volatile |
| 40 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
| 140 | Djibouti | -1 1000 t | 2023 | — | flat |
| 140 | Georgia | -1 1000 t | 2023 | down 200.0% | volatile |
| 140 | Iraq | -1 1000 t | 2023 | up 94.1% | volatile |
| 140 | Qatar | -1 1000 t | 2023 | — | volatile |
| 140 | Senegal | -1 1000 t | 2023 | down 150.0% | volatile |
| 140 | Russian Federation | -1 1000 t | 2023 | up 85.7% | volatile |
| 146 | Austria | -2 1000 t | 2023 | down 133.3% | volatile |
| 146 | Brazil | -2 1000 t | 2023 | down 140.0% | volatile |
| 146 | Thailand | -2 1000 t | 2023 | unchanged | volatile |
| 149 | Cameroon | -3 1000 t | 2023 | down 400.0% | volatile |
| 149 | Ghana | -3 1000 t | 2023 | down 123.1% | volatile |
| 149 | Philippines | -3 1000 t | 2023 | — | volatile |
| 149 | Saudi Arabia | -3 1000 t | 2023 | — | volatile |
| 153 | Kuwait | -4 1000 t | 2023 | down 500.0% | volatile |
| 154 | Germany | -5 1000 t | 2023 | — | volatile |
| 155 | Canada | -8 1000 t | 2023 | down 108.1% | volatile |
| 156 | Angola | -10 1000 t | 2023 | — | volatile |
| 156 | Australia | -10 1000 t | 2023 | down 300.0% | volatile |
| 156 | China (People’s Republic of) | -10 1000 t | 2023 | down 25.0% | volatile |
| 156 | Australia and New Zealand | -10 1000 t | 2023 | down 300.0% | volatile |
| 160 | Guatemala | -11 1000 t | 2023 | down 22.2% | volatile |
| 160 | Oman | -11 1000 t | 2023 | down 1,200.0% | volatile |
| 160 | China, Hong Kong SAR | -11 1000 t | 2023 | — | volatile |
| 163 | Colombia | -25 1000 t | 2023 | — | volatile |
| 164 | Malaysia | -49 1000 t | 2023 | up 35.5% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 1,163 1000 t
- United States of America 683 1000 t
- Northern America 674 1000 t
- Americas 654 1000 t
- European Union (27) 416 1000 t
- Western Europe 355 1000 t
- Net Food Importing Developing Countries (NFIDCs) 101 1000 t
- Low Income Food Deficit Countries (LIFDCs) 54 1000 t
- Northern Europe 12 1000 t
- Land Locked Developing Countries (LLDCs) -6 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.