Oilcrops — 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
178
Highest
2,131 1000 t
China, mainland
Lowest
-8,124 1000 t
Brazil
Median
0 1000 t
Years covered
14
2010–2023
Data points
3,040
What the numbers show
Oilcrops — Stock Variation is currently reported for 178 countries. The highest value is 2,131 1000 t in China, mainland; the lowest is -8,124 1000 t in Brazil.
The median across all reporting countries is 0 1000 t, and the mean is -71.04 1000 t.
Over the past decade 81 countries rose and 55 fell. The largest increase was in Senegal (up 4,800.0%), and the largest decrease in Morocco (down 13,800.0%).
Oilcrops — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China, mainland | 2,131 1000 t | 2023 | up 120.1% | volatile |
| 2 | China | 2,096 1000 t | 2023 | up 112.6% | volatile |
| 3 | India | 1,682 1000 t | 2023 | up 80.9% | volatile |
| 4 | Australia and New Zealand | 1,559 1000 t | 2023 | up 396.4% | volatile |
| 5 | Australia | 1,557 1000 t | 2023 | up 402.3% | volatile |
| 6 | Canada | 952 1000 t | 2023 | down 77.5% | volatile |
| 7 | Bangladesh | 435 1000 t | 2023 | up 1,044.7% | volatile |
| 8 | Germany | 416 1000 t | 2023 | down 80.1% | volatile |
| 9 | Burkina Faso | 348 1000 t | 2023 | up 3,000.0% | volatile |
| 10 | Myanmar | 329 1000 t | 2023 | up 1,196.7% | volatile |
| 11 | Turkey | 327 1000 t | 2023 | up 275.9% | volatile |
| 11 | Türkiye | 327 1000 t | 2023 | up 275.9% | volatile |
| 13 | Pakistan | 322 1000 t | 2023 | up 169.1% | volatile |
| 14 | Cameroon | 273 1000 t | 2023 | up 1,920.0% | volatile |
| 15 | Melanesia | 260 1000 t | 2023 | up 308.0% | volatile |
| 16 | Papua New Guinea | 252 1000 t | 2023 | up 296.9% | volatile |
| 17 | Cote d'Ivoire | 238 1000 t | 2023 | up 158.7% | volatile |
| 17 | Côte d'Ivoire | 238 1000 t | 2023 | up 158.7% | volatile |
| 19 | Hungary | 233 1000 t | 2023 | down 44.1% | volatile |
| 20 | Malaysia | 214 1000 t | 2023 | up 113.8% | volatile |
| 21 | Democratic Republic of the Congo | 205 1000 t | 2023 | up 217.8% | volatile |
| 22 | France | 193 1000 t | 2023 | up 121.3% | volatile |
| 23 | Czechia | 192 1000 t | 2023 | up 2,020.0% | volatile |
| 24 | Serbia | 180 1000 t | 2023 | up 311.8% | volatile |
| 25 | Colombia | 177 1000 t | 2023 | up 447.1% | volatile |
| 26 | Senegal | 141 1000 t | 2023 | up 4,800.0% | volatile |
| 27 | Guatemala | 137 1000 t | 2023 | up 344.6% | volatile |
| 28 | Peru | 135 1000 t | 2023 | up 662.5% | volatile |
| 29 | Turkmenistan | 134 1000 t | 2023 | — | volatile |
| 30 | Cambodia | 118 1000 t | 2023 | — | volatile |
| 31 | Ghana | 115 1000 t | 2023 | up 126.1% | volatile |
| 32 | Zambia | 110 1000 t | 2023 | up 300.0% | volatile |
| 33 | Sri Lanka | 97 1000 t | 2023 | down 14.2% | volatile |
| 34 | Egypt | 94 1000 t | 2023 | up 135.7% | volatile |
| 35 | Sierra Leone | 84 1000 t | 2023 | up 286.7% | volatile |
| 36 | Portugal | 82 1000 t | 2023 | up 67.3% | volatile |
| 37 | Netherlands (Kingdom of the) | 66 1000 t | 2023 | up 108.5% | volatile |
| 38 | Caribbean | 57 1000 t | 2023 | up 1,040.0% | volatile |
| 39 | Zimbabwe | 53 1000 t | 2023 | up 220.5% | volatile |
| 40 | United Kingdom | 45 1000 t | 2023 | up 190.0% | volatile |
| 40 | United Kingdom of Great Britain and Northern Ireland | 45 1000 t | 2023 | up 190.0% | volatile |
| 42 | Italy | 38 1000 t | 2023 | down 50.6% | volatile |
| 43 | Kenya | 36 1000 t | 2023 | up 500.0% | volatile |
| 44 | Philippines | 34 1000 t | 2023 | up 189.5% | volatile |
| 45 | Afghanistan | 33 1000 t | 2023 | up 1,550.0% | volatile |
| 45 | Dominican Republic | 33 1000 t | 2023 | up 466.7% | volatile |
| 47 | Slovenia | 32 1000 t | 2023 | — | volatile |
| 48 | Jamaica | 21 1000 t | 2023 | up 50.0% | volatile |
| 49 | Belgium | 17 1000 t | 2023 | up 104.8% | volatile |
| 50 | Austria | 16 1000 t | 2023 | up 300.0% | volatile |
| 50 | Iraq | 16 1000 t | 2023 | up 188.9% | volatile |
| 52 | Bosnia and Herzegovina | 10 1000 t | 2023 | down 28.6% | volatile |
| 53 | Lithuania | 9 1000 t | 2023 | up 118.0% | volatile |
| 54 | Algeria | 8 1000 t | 2023 | down 80.5% | volatile |
| 54 | Ireland | 8 1000 t | 2023 | — | volatile |
| 54 | Solomon Islands | 8 1000 t | 2023 | up 60.0% | volatile |
| 54 | Vietnam | 8 1000 t | 2023 | up 123.5% | volatile |
| 54 | Viet Nam | 8 1000 t | 2023 | up 123.5% | volatile |
| 59 | Gabon | 5 1000 t | 2023 | up 225.0% | volatile |
| 59 | Guinea | 5 1000 t | 2023 | up 108.8% | volatile |
| 59 | Tunisia | 5 1000 t | 2023 | up 162.5% | volatile |
| 62 | Albania | 4 1000 t | 2023 | — | volatile |
| 62 | Kyrgyzstan | 4 1000 t | 2023 | up 500.0% | volatile |
| 62 | Libya | 4 1000 t | 2023 | unchanged | volatile |
| 62 | Sao Tome and Principe | 4 1000 t | 2023 | — | volatile |
| 66 | Azerbaijan | 3 1000 t | 2023 | up 109.7% | volatile |
| 67 | Liberia | 2 1000 t | 2023 | up 140.0% | volatile |
| 67 | Niger | 2 1000 t | 2023 | down 50.0% | volatile |
| 67 | New Zealand | 2 1000 t | 2023 | up 118.2% | volatile |
| 67 | Trinidad and Tobago | 2 1000 t | 2023 | — | volatile |
| 71 | Armenia | 1 1000 t | 2023 | — | volatile |
| 71 | Switzerland | 1 1000 t | 2023 | — | volatile |
| 71 | Honduras | 1 1000 t | 2023 | down 98.2% | volatile |
| 71 | Kuwait | 1 1000 t | 2023 | up 200.0% | volatile |
| 71 | Lebanon | 1 1000 t | 2023 | — | volatile |
| 71 | Montenegro | 1 1000 t | 2023 | — | volatile |
| 71 | Malawi | 1 1000 t | 2023 | unchanged | volatile |
| 71 | Namibia | 1 1000 t | 2023 | — | volatile |
| 71 | Oman | 1 1000 t | 2023 | — | volatile |
| 71 | Polynesia | 1 1000 t | 2023 | up 112.5% | volatile |
| 81 | Antigua and Barbuda | 0 1000 t | 2023 | — | volatile |
| 81 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 81 | Belize | 0 1000 t | 2023 | — | volatile |
| 81 | Barbados | 0 1000 t | 2023 | — | volatile |
| 81 | Botswana | 0 1000 t | 2023 | — | volatile |
| 81 | Cuba | 0 1000 t | 2019 | — | volatile |
| 81 | Cyprus | 0 1000 t | 2023 | — | volatile |
| 81 | Ecuador | 0 1000 t | 2023 | up 100.0% | volatile |
| 81 | Fiji | 0 1000 t | 2023 | down 100.0% | volatile |
| 81 | Georgia | 0 1000 t | 2023 | up 100.0% | volatile |
| 81 | Gambia | 0 1000 t | 2023 | up 100.0% | volatile |
| 81 | Guinea-Bissau | 0 1000 t | 2023 | up 100.0% | volatile |
| 81 | Guyana | 0 1000 t | 2023 | down 100.0% | volatile |
| 81 | Haiti | 0 1000 t | 2023 | down 100.0% | volatile |
| 81 | Jordan | 0 1000 t | 2023 | up 100.0% | volatile |
| 81 | Kiribati | 0 1000 t | 2023 | down 100.0% | volatile |
| 81 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | volatile |
| 81 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 81 | Luxembourg | 0 1000 t | 2023 | down 100.0% | volatile |
| 81 | Madagascar | 0 1000 t | 2023 | up 100.0% | volatile |
| 81 | North Macedonia | 0 1000 t | 2023 | — | volatile |
| 81 | Malta | 0 1000 t | 2023 | — | volatile |
| 81 | Mauritius | 0 1000 t | 2023 | — | volatile |
| 81 | New Caledonia | 0 1000 t | 2023 | — | volatile |
| 81 | French Polynesia | 0 1000 t | 2023 | up 100.0% | volatile |
| 81 | Qatar | 0 1000 t | 2023 | — | volatile |
| 81 | Rwanda | 0 1000 t | 2023 | up 100.0% | volatile |
| 81 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 81 | Suriname | 0 1000 t | 2023 | — | volatile |
| 81 | Eswatini | 0 1000 t | 2023 | down 100.0% | volatile |
| 81 | East Timor | 0 1000 t | 2023 | — | volatile |
| 81 | Tonga | 0 1000 t | 2023 | — | volatile |
| 81 | Uganda | 0 1000 t | 2023 | — | volatile |
| 81 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | volatile |
| 81 | Vanuatu | 0 1000 t | 2023 | up 100.0% | volatile |
| 81 | Samoa | 0 1000 t | 2023 | up 100.0% | volatile |
| 81 | Yemen | 0 1000 t | 2023 | — | volatile |
| 81 | Micronesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 81 | Timor-Leste | 0 1000 t | 2023 | — | volatile |
| 81 | China, Hong Kong SAR | 0 1000 t | 2023 | up 100.0% | volatile |
| 81 | China, Macao SAR | 0 1000 t | 2023 | — | volatile |
| 138 | Congo | -1 1000 t | 2023 | up 50.0% | rising |
| 138 | Nigeria | -1 1000 t | 2023 | up 99.7% | volatile |
| 140 | Spain | -2 1000 t | 2023 | down 101.6% | volatile |
| 140 | Israel | -2 1000 t | 2023 | up 50.0% | volatile |
| 140 | Mozambique | -2 1000 t | 2023 | up 94.3% | volatile |
| 143 | Chile | -3 1000 t | 2023 | up 85.7% | volatile |
| 144 | Estonia | -4 1000 t | 2023 | — | volatile |
| 144 | Finland | -4 1000 t | 2023 | up 83.3% | volatile |
| 146 | Saudi Arabia | -5 1000 t | 2023 | — | volatile |
| 147 | Laos | -6 1000 t | 2023 | down 200.0% | volatile |
| 147 | Uruguay | -6 1000 t | 2023 | up 14.3% | volatile |
| 147 | Lao People's Democratic Republic | -6 1000 t | 2023 | down 200.0% | volatile |
| 150 | Latvia | -7 1000 t | 2023 | down 163.6% | volatile |
| 150 | Syria | -7 1000 t | 2023 | up 81.6% | volatile |
| 150 | Tajikistan | -7 1000 t | 2023 | down 200.0% | volatile |
| 150 | Syrian Arab Republic | -7 1000 t | 2023 | up 81.6% | volatile |
| 154 | Nepal | -10 1000 t | 2023 | down 600.0% | volatile |
| 155 | Republic of Korea | -11 1000 t | 2023 | down 466.7% | volatile |
| 156 | Panama | -13 1000 t | 2023 | down 262.5% | volatile |
| 157 | Mongolia | -15 1000 t | 2023 | — | volatile |
| 158 | Costa Rica | -18 1000 t | 2023 | down 5.9% | volatile |
| 159 | Norway | -22 1000 t | 2023 | down 344.4% | volatile |
| 160 | Venezuela (Bolivarian Republic of) | -24 1000 t | 2023 | down 107.0% | volatile |
| 161 | Slovakia | -26 1000 t | 2023 | up 89.8% | volatile |
| 162 | Thailand | -33 1000 t | 2023 | up 99.5% | volatile |
| 163 | China, Taiwan Province of | -35 1000 t | 2023 | down 275.0% | volatile |
| 164 | South Africa | -40 1000 t | 2023 | down 233.3% | volatile |
| 165 | Ethiopia | -44 1000 t | 2023 | down 309.5% | volatile |
| 166 | Sweden | -48 1000 t | 2023 | — | volatile |
| 167 | United Arab Emirates | -49 1000 t | 2023 | up 63.2% | volatile |
| 168 | Denmark | -57 1000 t | 2023 | down 5,800.0% | volatile |
| 169 | Croatia | -61 1000 t | 2023 | down 205.0% | volatile |
| 170 | Nicaragua | -68 1000 t | 2023 | up 34.6% | volatile |
| 171 | Greece | -89 1000 t | 2023 | up 1.1% | volatile |
| 172 | Angola | -97 1000 t | 2023 | down 362.2% | volatile |
| 173 | Iran (Islamic Republic of) | -107 1000 t | 2023 | down 1,683.3% | volatile |
| 174 | Moldova | -109 1000 t | 2023 | down 217.2% | volatile |
| 174 | Republic of Moldova | -109 1000 t | 2023 | down 217.2% | volatile |
| 176 | Democratic People's Republic of Korea | -120 1000 t | 2018 | down 110.5% | volatile |
| 177 | Uzbekistan | -133 1000 t | 2023 | down 1,762.5% | volatile |
| 178 | Morocco | -139 1000 t | 2023 | down 13,800.0% | volatile |
| 179 | United Republic of Tanzania | -140 1000 t | 2023 | down 196.6% | volatile |
| 180 | Belarus | -147 1000 t | 2023 | down 7,450.0% | flat |
| 181 | Ukraine | -156 1000 t | 2023 | down 214.7% | volatile |
| 182 | Kazakhstan | -267 1000 t | 2023 | down 257.1% | volatile |
| 183 | Bolivia (Plurinational State of) | -318 1000 t | 2023 | down 360.9% | volatile |
| 184 | Paraguay | -348 1000 t | 2023 | down 312.2% | volatile |
| 185 | Bulgaria | -443 1000 t | 2023 | down 3,927.3% | volatile |
| 186 | Mexico | -589 1000 t | 2023 | down 295.3% | volatile |
| 187 | Romania | -746 1000 t | 2023 | down 646.0% | volatile |
| 188 | Poland | -803 1000 t | 2023 | down 131.4% | volatile |
| 189 | Russia | -1,741 1000 t | 2023 | down 238.9% | volatile |
| 189 | Russian Federation | -1,741 1000 t | 2023 | down 238.9% | volatile |
| 191 | United States | -2,111 1000 t | 2023 | down 2,369.9% | volatile |
| 192 | Argentina | -3,610 1000 t | 2023 | down 214.1% | volatile |
| 193 | Indonesia | -6,850 1000 t | 2023 | down 130.2% | volatile |
| 194 | Brazil | -8,124 1000 t | 2023 | down 1,395.7% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Southern Asia 2,452 1000 t
- Net Food Importing Developing Countries (NFIDCs) 2,203 1000 t
- Eastern Asia 1,907 1000 t
- Oceania 1,819 1000 t
- Least Developed Countries (LDCs) 1,388 1000 t
- Africa 1,132 1000 t
- Western Africa 1,039 1000 t
- Western Europe 710 1000 t
- Low Income Food Deficit Countries (LIFDCs) 632 1000 t
- Small island developing States (SIDS) 321 1000 t
- Western Asia 288 1000 t
- Middle Africa 258 1000 t
- Southern Europe 195 1000 t
- Eastern Africa 18 1000 t
- Southern Africa -38 1000 t
- Northern Europe -80 1000 t
- Northern Africa -146 1000 t
- Central Asia -269 1000 t
- Central America -550 1000 t
- Land Locked Developing Countries (LLDCs) -719 1000 t
- European Union (27) -986 1000 t
- Northern America -1,159 1000 t
- Asia -1,807 1000 t
- United States of America -2,111 1000 t
- Europe -2,921 1000 t
- Eastern Europe -3,747 1000 t
- South-Eastern Asia -6,185 1000 t
- South America -12,120 1000 t
- Americas -13,773 1000 t
- World -15,550 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.