Vegetable Oils — 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...
Countries reporting
187
Highest
1,837 1000 t
United States
Lowest
-268 1000 t
Ethiopia
Median
1 1000 t
Years covered
14
2010–2023
Data points
3,046
What the numbers show
Vegetable Oils — Stock Variation is currently reported for 187 countries. The highest value is 1,837 1000 t in United States; the lowest is -268 1000 t in Ethiopia.
The median across all reporting countries is 1 1000 t, and the mean is 38.87 1000 t.
The gap between the highest and lowest reporting country is a factor of about 7.
Over the past decade 85 countries rose and 53 fell. The largest increase was in Netherlands (Kingdom of the) (up 2,640.0%), and the largest decrease in Ethiopia (down 3,728.6%).
Vegetable Oils — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | United States | 1,837 1000 t | 2023 | up 2,517.1% | volatile |
| 2 | India | 798 1000 t | 2023 | up 14.0% | volatile |
| 3 | China | 760 1000 t | 2023 | down 37.0% | volatile |
| 3 | China, mainland | 760 1000 t | 2023 | down 39.1% | volatile |
| 5 | Indonesia | 571 1000 t | 2023 | up 74.6% | volatile |
| 6 | Russia | 507 1000 t | 2023 | up 804.2% | volatile |
| 6 | Russian Federation | 507 1000 t | 2023 | up 804.2% | volatile |
| 8 | Malaysia | 296 1000 t | 2023 | up 210.9% | volatile |
| 9 | Spain | 294 1000 t | 2023 | down 51.1% | volatile |
| 10 | Djibouti | 281 1000 t | 2023 | — | volatile |
| 11 | Canada | 245 1000 t | 2023 | up 140.2% | volatile |
| 12 | France | 133 1000 t | 2023 | up 280.0% | volatile |
| 12 | Vietnam | 133 1000 t | 2023 | up 9.0% | volatile |
| 12 | Viet Nam | 133 1000 t | 2023 | up 9.0% | volatile |
| 15 | Netherlands (Kingdom of the) | 127 1000 t | 2023 | up 2,640.0% | volatile |
| 16 | Burkina Faso | 105 1000 t | 2023 | up 262.1% | volatile |
| 17 | Hungary | 102 1000 t | 2023 | up 166.2% | volatile |
| 18 | Nigeria | 93 1000 t | 2023 | up 504.3% | volatile |
| 19 | Kenya | 85 1000 t | 2023 | up 226.9% | volatile |
| 20 | Democratic People's Republic of Korea | 81 1000 t | 2018 | up 361.3% | volatile |
| 21 | Turkey | 78 1000 t | 2023 | up 170.9% | volatile |
| 21 | Türkiye | 78 1000 t | 2023 | up 170.9% | volatile |
| 23 | Belgium | 77 1000 t | 2023 | up 1,825.0% | volatile |
| 24 | Afghanistan | 75 1000 t | 2023 | up 725.0% | volatile |
| 25 | Egypt | 72 1000 t | 2023 | up 7.5% | volatile |
| 26 | Cote d'Ivoire | 58 1000 t | 2023 | up 107.1% | volatile |
| 26 | Côte d'Ivoire | 58 1000 t | 2023 | up 107.1% | volatile |
| 28 | Mauritania | 55 1000 t | 2023 | — | volatile |
| 29 | Algeria | 53 1000 t | 2023 | up 507.7% | volatile |
| 30 | Paraguay | 47 1000 t | 2023 | up 361.1% | volatile |
| 31 | Guinea | 44 1000 t | 2023 | up 466.7% | volatile |
| 32 | Greece | 40 1000 t | 2023 | up 229.0% | volatile |
| 32 | Niger | 40 1000 t | 2023 | up 2,100.0% | volatile |
| 34 | Ecuador | 39 1000 t | 2023 | — | volatile |
| 35 | Guatemala | 38 1000 t | 2023 | up 353.3% | volatile |
| 36 | Ukraine | 36 1000 t | 2023 | up 350.0% | volatile |
| 37 | Saudi Arabia | 35 1000 t | 2023 | — | volatile |
| 38 | Uzbekistan | 34 1000 t | 2023 | up 70.0% | volatile |
| 39 | Senegal | 32 1000 t | 2023 | up 260.0% | volatile |
| 40 | Peru | 25 1000 t | 2023 | up 525.0% | volatile |
| 41 | Mexico | 23 1000 t | 2023 | up 124.5% | volatile |
| 42 | Myanmar | 22 1000 t | 2023 | up 269.2% | volatile |
| 43 | Czechia | 21 1000 t | 2023 | up 400.0% | volatile |
| 43 | Ghana | 21 1000 t | 2023 | up 333.3% | volatile |
| 43 | Portugal | 21 1000 t | 2023 | up 5.0% | volatile |
| 46 | Congo | 20 1000 t | 2023 | up 400.0% | volatile |
| 47 | Azerbaijan | 18 1000 t | 2023 | up 350.0% | volatile |
| 48 | United Republic of Tanzania | 17 1000 t | 2023 | down 77.0% | volatile |
| 49 | Cameroon | 14 1000 t | 2023 | up 1,300.0% | volatile |
| 49 | Cuba | 14 1000 t | 2019 | — | volatile |
| 49 | United Kingdom | 14 1000 t | 2023 | — | volatile |
| 49 | Jordan | 14 1000 t | 2023 | up 55.6% | volatile |
| 49 | United Kingdom of Great Britain and Northern Ireland | 14 1000 t | 2023 | — | volatile |
| 54 | Pakistan | 13 1000 t | 2023 | down 92.9% | volatile |
| 55 | Haiti | 11 1000 t | 2023 | up 1,200.0% | volatile |
| 55 | Sri Lanka | 11 1000 t | 2023 | down 79.2% | volatile |
| 55 | Tajikistan | 11 1000 t | 2023 | up 320.0% | volatile |
| 55 | China, Taiwan Province of | 11 1000 t | 2023 | up 126.8% | volatile |
| 59 | Gabon | 10 1000 t | 2023 | up 400.0% | volatile |
| 60 | Liberia | 9 1000 t | 2023 | — | volatile |
| 60 | Latvia | 9 1000 t | 2023 | up 50.0% | volatile |
| 60 | Sweden | 9 1000 t | 2023 | — | volatile |
| 63 | Bulgaria | 8 1000 t | 2023 | up 125.8% | volatile |
| 63 | Republic of Korea | 8 1000 t | 2023 | up 129.6% | volatile |
| 65 | Nicaragua | 7 1000 t | 2023 | up 250.0% | volatile |
| 65 | Slovenia | 7 1000 t | 2023 | up 275.0% | volatile |
| 67 | Georgia | 6 1000 t | 2023 | up 500.0% | volatile |
| 67 | Ireland | 6 1000 t | 2023 | down 66.7% | volatile |
| 67 | Oman | 6 1000 t | 2023 | down 33.3% | volatile |
| 67 | Democratic Republic of the Congo | 6 1000 t | 2023 | up 114.3% | volatile |
| 71 | Costa Rica | 5 1000 t | 2023 | down 93.1% | volatile |
| 71 | Cambodia | 5 1000 t | 2023 | up 266.7% | volatile |
| 71 | Trinidad and Tobago | 5 1000 t | 2023 | up 400.0% | volatile |
| 74 | Thailand | 4 1000 t | 2023 | down 71.4% | volatile |
| 74 | South Africa | 4 1000 t | 2023 | up 104.0% | volatile |
| 76 | Botswana | 3 1000 t | 2023 | — | volatile |
| 76 | Croatia | 3 1000 t | 2023 | down 40.0% | volatile |
| 76 | Polynesia | 3 1000 t | 2023 | — | volatile |
| 79 | Armenia | 2 1000 t | 2023 | up 300.0% | volatile |
| 79 | Cyprus | 2 1000 t | 2023 | — | volatile |
| 79 | Maldives | 2 1000 t | 2023 | — | volatile |
| 79 | Mauritius | 2 1000 t | 2023 | up 166.7% | volatile |
| 79 | Sierra Leone | 2 1000 t | 2023 | up 300.0% | volatile |
| 79 | Eswatini | 2 1000 t | 2023 | up 100.0% | volatile |
| 79 | Samoa | 2 1000 t | 2023 | — | volatile |
| 79 | Zimbabwe | 2 1000 t | 2023 | up 116.7% | volatile |
| 79 | China, Macao SAR | 2 1000 t | 2023 | — | volatile |
| 88 | Switzerland | 1 1000 t | 2023 | up 114.3% | volatile |
| 88 | Fiji | 1 1000 t | 2023 | unchanged | volatile |
| 88 | Guyana | 1 1000 t | 2023 | — | volatile |
| 88 | Iceland | 1 1000 t | 2023 | — | volatile |
| 88 | Jamaica | 1 1000 t | 2023 | down 88.9% | volatile |
| 88 | Kiribati | 1 1000 t | 2023 | — | volatile |
| 88 | Laos | 1 1000 t | 2023 | unchanged | volatile |
| 88 | Namibia | 1 1000 t | 2023 | — | volatile |
| 88 | French Polynesia | 1 1000 t | 2023 | — | volatile |
| 88 | El Salvador | 1 1000 t | 2023 | up 114.3% | volatile |
| 88 | Suriname | 1 1000 t | 2023 | down 50.0% | volatile |
| 88 | Micronesia | 1 1000 t | 2023 | — | volatile |
| 88 | Cabo Verde | 1 1000 t | 2023 | — | volatile |
| 88 | Lao People's Democratic Republic | 1 1000 t | 2023 | unchanged | volatile |
| 102 | Albania | 0 1000 t | 2023 | down 100.0% | volatile |
| 102 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 102 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 102 | Bahamas | 0 1000 t | 2023 | — | volatile |
| 102 | Belize | 0 1000 t | 2023 | — | volatile |
| 102 | Barbados | 0 1000 t | 2023 | up 100.0% | volatile |
| 102 | Bhutan | 0 1000 t | 2023 | — | volatile |
| 102 | Gambia | 0 1000 t | 2023 | up 100.0% | volatile |
| 102 | Guinea-Bissau | 0 1000 t | 2023 | down 100.0% | flat |
| 102 | Grenada | 0 1000 t | 2023 | — | volatile |
| 102 | Kyrgyzstan | 0 1000 t | 2023 | up 100.0% | volatile |
| 102 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | volatile |
| 102 | Lesotho | 0 1000 t | 2023 | — | volatile |
| 102 | Luxembourg | 0 1000 t | 2023 | — | volatile |
| 102 | Malta | 0 1000 t | 2023 | — | volatile |
| 102 | Malawi | 0 1000 t | 2023 | down 100.0% | volatile |
| 102 | New Caledonia | 0 1000 t | 2023 | — | volatile |
| 102 | New Zealand | 0 1000 t | 2023 | — | volatile |
| 102 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 102 | Solomon Islands | 0 1000 t | 2023 | up 100.0% | volatile |
| 102 | Sao Tome and Principe | 0 1000 t | 2023 | down 100.0% | volatile |
| 102 | Seychelles | 0 1000 t | 2023 | — | flat |
| 102 | Turkmenistan | 0 1000 t | 2023 | up 100.0% | volatile |
| 102 | East Timor | 0 1000 t | 2023 | up 100.0% | volatile |
| 102 | Uganda | 0 1000 t | 2023 | — | volatile |
| 102 | Uruguay | 0 1000 t | 2023 | down 100.0% | volatile |
| 102 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | volatile |
| 102 | Vanuatu | 0 1000 t | 2023 | up 100.0% | volatile |
| 102 | Yemen | 0 1000 t | 2023 | up 100.0% | volatile |
| 102 | Timor-Leste | 0 1000 t | 2023 | up 100.0% | volatile |
| 102 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | up 100.0% | volatile |
| 140 | Finland | -1 1000 t | 2023 | up 50.0% | volatile |
| 140 | North Macedonia | -1 1000 t | 2023 | — | volatile |
| 140 | Montenegro | -1 1000 t | 2023 | — | flat |
| 140 | Zambia | -1 1000 t | 2023 | down 116.7% | volatile |
| 144 | Comoros | -2 1000 t | 2023 | — | volatile |
| 144 | Kazakhstan | -2 1000 t | 2023 | down 120.0% | volatile |
| 144 | Lithuania | -2 1000 t | 2023 | — | volatile |
| 144 | Madagascar | -2 1000 t | 2023 | — | volatile |
| 148 | Denmark | -3 1000 t | 2023 | down 133.3% | volatile |
| 148 | Estonia | -3 1000 t | 2023 | up 87.0% | volatile |
| 148 | Mongolia | -3 1000 t | 2023 | — | volatile |
| 151 | Kuwait | -4 1000 t | 2023 | down 33.3% | volatile |
| 151 | Qatar | -4 1000 t | 2023 | — | volatile |
| 153 | Serbia | -5 1000 t | 2023 | up 73.7% | volatile |
| 153 | Slovakia | -5 1000 t | 2023 | up 84.4% | volatile |
| 155 | Panama | -7 1000 t | 2023 | unchanged | volatile |
| 156 | Austria | -8 1000 t | 2023 | down 166.7% | volatile |
| 156 | Lebanon | -8 1000 t | 2023 | up 55.6% | flat |
| 156 | Moldova | -8 1000 t | 2023 | down 366.7% | volatile |
| 156 | Norway | -8 1000 t | 2023 | down 166.7% | volatile |
| 156 | Republic of Moldova | -8 1000 t | 2023 | down 366.7% | volatile |
| 161 | Dominican Republic | -9 1000 t | 2023 | down 800.0% | volatile |
| 162 | Mozambique | -11 1000 t | 2023 | up 56.0% | volatile |
| 163 | Israel | -12 1000 t | 2023 | down 180.0% | volatile |
| 164 | Germany | -13 1000 t | 2023 | up 61.8% | volatile |
| 164 | China, Hong Kong SAR | -13 1000 t | 2023 | down 1,400.0% | volatile |
| 166 | Bangladesh | -14 1000 t | 2023 | down 55.6% | volatile |
| 167 | Bolivia (Plurinational State of) | -15 1000 t | 2023 | up 37.5% | volatile |
| 168 | Bosnia and Herzegovina | -16 1000 t | 2023 | down 100.0% | volatile |
| 169 | Libya | -18 1000 t | 2023 | down 228.6% | volatile |
| 169 | Nepal | -18 1000 t | 2023 | down 151.4% | volatile |
| 171 | Morocco | -20 1000 t | 2023 | down 100.0% | volatile |
| 171 | Caribbean | -20 1000 t | 2023 | down 385.7% | volatile |
| 173 | Chile | -25 1000 t | 2023 | down 725.0% | volatile |
| 174 | Honduras | -27 1000 t | 2023 | down 68.8% | volatile |
| 174 | Papua New Guinea | -27 1000 t | 2023 | up 38.6% | volatile |
| 174 | Melanesia | -27 1000 t | 2023 | up 38.6% | volatile |
| 177 | Australia | -29 1000 t | 2023 | down 281.2% | volatile |
| 177 | Australia and New Zealand | -29 1000 t | 2023 | down 293.3% | volatile |
| 179 | Tunisia | -31 1000 t | 2023 | down 247.6% | volatile |
| 180 | Italy | -54 1000 t | 2023 | up 74.3% | volatile |
| 181 | Colombia | -62 1000 t | 2023 | down 542.9% | volatile |
| 182 | Belarus | -65 1000 t | 2023 | down 442.1% | volatile |
| 183 | Argentina | -69 1000 t | 2023 | down 132.2% | volatile |
| 184 | Poland | -70 1000 t | 2023 | down 683.3% | volatile |
| 185 | Iraq | -76 1000 t | 2023 | down 195.0% | volatile |
| 185 | Iran (Islamic Republic of) | -76 1000 t | 2023 | down 416.7% | volatile |
| 187 | Angola | -84 1000 t | 2023 | down 278.7% | volatile |
| 188 | Syria | -86 1000 t | 2023 | down 268.6% | volatile |
| 188 | Syrian Arab Republic | -86 1000 t | 2023 | down 268.6% | volatile |
| 190 | Romania | -87 1000 t | 2023 | down 22.5% | volatile |
| 191 | United Arab Emirates | -107 1000 t | 2023 | up 31.8% | volatile |
| 192 | Philippines | -144 1000 t | 2023 | down 48.5% | volatile |
| 193 | Brazil | -244 1000 t | 2023 | down 941.4% | volatile |
| 194 | Ethiopia | -268 1000 t | 2023 | down 3,728.6% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 5,848 1000 t
- Asia 2,375 1000 t
- Northern America 2,082 1000 t
- United States of America 1,837 1000 t
- Americas 1,801 1000 t
- Europe 1,065 1000 t
- South-Eastern Asia 887 1000 t
- Eastern Asia 792 1000 t
- Southern Asia 791 1000 t
- Africa 659 1000 t
- European Union (27) 613 1000 t
- Net Food Importing Developing Countries (NFIDCs) 558 1000 t
- Western Africa 542 1000 t
- Eastern Europe 439 1000 t
- Least Developed Countries (LDCs) 369 1000 t
- Western Europe 317 1000 t
- Southern Europe 288 1000 t
- Low Income Food Deficit Countries (LIFDCs) 255 1000 t
- Eastern Africa 109 1000 t
- Northern Africa 43 1000 t
- Central Asia 42 1000 t
- Central America 40 1000 t
- Northern Europe 22 1000 t
- Southern Africa 9 1000 t
- Land Locked Developing Countries (LLDCs) 0 1000 t
- Small island developing States (SIDS) -38 1000 t
- Middle Africa -45 1000 t
- Oceania -52 1000 t
- Western Asia -137 1000 t
- South America -301 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.