Oilcrops — Stock Variation by country
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 — Stock Variation is currently reported for 173 countries. The highest value is 1.01 million t in USSR; the lowest is -5.34 million t in Argentina.
The median across all reporting countries is 0 t, and the mean is -63,877 t.
Over the past decade 79 countries rose and 52 fell. The largest increase was in Belarus (up 1,000,100.0%), and the largest decrease in Albania (down 65,819.6%).
Oilcrops — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | USSR | 1.01 million t | 1991 | up 7,223.2% | volatile |
| 2 | Netherlands (Kingdom of the) | 775,796 t | 2013 | up 353.4% | volatile |
| 3 | Uruguay | 563,100 t | 2013 | up 663.1% | volatile |
| 4 | Australia | 534,291 t | 2013 | up 181.5% | volatile |
| 4 | Australia and New Zealand | 534,291 t | 2013 | up 181.5% | volatile |
| 6 | Belgium | 352,400 t | 2013 | up 698.8% | volatile |
| 7 | China, Taiwan Province of | 337,455 t | 2013 | up 316.1% | volatile |
| 8 | France | 300,000 t | 2013 | up 886.8% | volatile |
| 9 | Slovakia | 240,000 t | 2013 | up 1,411.5% | volatile |
| 10 | Poland | 239,971 t | 2013 | up 167.3% | volatile |
| 11 | Ukraine | 219,490 t | 2013 | up 170.1% | volatile |
| 12 | Turkmenistan | 180,000 t | 2013 | — | volatile |
| 13 | Senegal | 168,500 t | 2013 | up 29.6% | volatile |
| 14 | Ghana | 161,205 t | 2013 | up 442.8% | volatile |
| 15 | Mexico | 107,530 t | 2013 | up 408.3% | volatile |
| 16 | United Arab Emirates | 104,286 t | 2013 | up 44,143.2% | volatile |
| 17 | Belarus | 100,000 t | 2013 | up 1,000,100.0% | volatile |
| 18 | Bolivia (Plurinational State of) | 97,700 t | 2013 | up 2.2% | volatile |
| 19 | Greece | 89,986 t | 2013 | up 550.4% | volatile |
| 20 | Egypt | 76,061 t | 2013 | up 36.8% | volatile |
| 21 | Paraguay | 63,000 t | 2013 | up 107.1% | volatile |
| 22 | Bulgaria | 57,500 t | 2013 | up 156.9% | volatile |
| 23 | Czechoslovakia | 56,200 t | 1992 | up 662.0% | volatile |
| 24 | United Kingdom of Great Britain and Northern Ireland | 50,200 t | 2013 | up 490.6% | volatile |
| 25 | Lithuania | 50,000 t | 2013 | up 1,062.8% | flat |
| 25 | Pakistan | 50,000 t | 2013 | up 149.3% | volatile |
| 27 | Serbia and Montenegro | 40,000 t | 2005 | up 525.0% | volatile |
| 28 | Israel | 35,461 t | 2013 | up 1,923.2% | volatile |
| 29 | Togo | 32,840 t | 2013 | up 756.8% | volatile |
| 30 | Yugoslav SFR | 30,200 t | 1991 | up 154.9% | volatile |
| 31 | Cuba | 24,000 t | 2013 | up 161.7% | volatile |
| 32 | Costa Rica | 23,850 t | 2013 | up 222.3% | volatile |
| 33 | Caribbean | 21,803 t | 2013 | up 135.6% | volatile |
| 34 | Croatia | 19,500 t | 2013 | down 60.9% | volatile |
| 35 | Romania | 17,010 t | 2013 | up 105.7% | volatile |
| 36 | Georgia | 13,510 t | 2013 | up 124.7% | volatile |
| 37 | Tunisia | 12,000 t | 2013 | up 1,731.1% | flat |
| 38 | Malaysia | 12,000 t | 2013 | up 11,899.7% | volatile |
| 39 | Czechia | 10,100 t | 2013 | down 88.6% | volatile |
| 40 | Zimbabwe | 10,000 t | 2013 | down 86.6% | volatile |
| 40 | T�rkiye | 10,000 t | 2013 | up 158.8% | volatile |
| 42 | Nicaragua | 8,265 t | 2013 | up 146.5% | volatile |
| 43 | Republic of Moldova | 8,000 t | 2013 | up 106.7% | volatile |
| 44 | Denmark | 7,859 t | 2013 | up 122.9% | volatile |
| 45 | French Polynesia | 7,245 t | 2013 | up 268.5% | volatile |
| 45 | Polynesia | 7,245 t | 2013 | up 183.6% | volatile |
| 47 | Vanuatu | 5,600 t | 2013 | up 107.4% | volatile |
| 48 | Ethiopia PDR | 5,000 t | 1992 | — | flat |
| 49 | Venezuela (Bolivarian Republic of) | 3,570 t | 2013 | down 9.0% | volatile |
| 50 | Panama | 2,900 t | 2013 | — | flat |
| 51 | Chile | 2,570 t | 2013 | up 110.8% | volatile |
| 52 | Uganda | 2,143 t | 2013 | — | volatile |
| 53 | Gambia | 2,000 t | 2013 | — | volatile |
| 54 | Indonesia | 1,622 t | 2013 | up 100.3% | volatile |
| 55 | Uzbekistan | 1,400 t | 2013 | up 108.8% | volatile |
| 56 | Benin | 1,200 t | 2013 | down 35.4% | volatile |
| 57 | Norway | 1,000 t | 2013 | up 105.4% | volatile |
| 58 | Djibouti | 700 t | 2013 | up 333.3% | flat |
| 58 | Saint Vincent and the Grenadines | 700 t | 2013 | — | volatile |
| 60 | Oman | 500 t | 2013 | — | flat |
| 61 | Fiji | 438.57 t | 2013 | — | volatile |
| 62 | Slovenia | 428.57 t | 2013 | up 37.1% | volatile |
| 63 | C�te d'Ivoire | 388.07 t | 2013 | up 129.9% | volatile |
| 64 | Guatemala | 355 t | 2013 | down 83.5% | volatile |
| 65 | Belize | 320 t | 2013 | up 135.6% | volatile |
| 66 | Estonia | 50 t | 2013 | up 109.0% | volatile |
| 67 | Saint Kitts and Nevis | 49.58 t | 2013 | — | volatile |
| 68 | Ethiopia | 36 t | 2013 | down 99.9% | volatile |
| 69 | Barbados | 15 t | 2013 | down 81.2% | volatile |
| 70 | Lebanon | 10 t | 2013 | — | volatile |
| 70 | Rwanda | 10 t | 2013 | — | flat |
| 72 | Saint Lucia | 2.67 t | 2013 | — | volatile |
| 73 | Afghanistan | 0 t | 2013 | up 100.0% | volatile |
| 73 | Angola | 0 t | 2013 | — | flat |
| 73 | Armenia | 0 t | 2013 | down 100.0% | flat |
| 73 | Azerbaijan | 0 t | 2013 | down 100.0% | volatile |
| 73 | Bahamas | 0 t | 2013 | down 100.0% | flat |
| 73 | Botswana | 0 t | 2013 | up 100.0% | volatile |
| 73 | Switzerland | 0 t | 2013 | down 100.0% | flat |
| 73 | Cameroon | 0 t | 2013 | down 100.0% | volatile |
| 73 | Congo | 0 t | 2013 | — | volatile |
| 73 | Cyprus | 0 t | 2013 | — | volatile |
| 73 | Dominican Republic | 0 t | 2013 | up 100.0% | flat |
| 73 | Algeria | 0 t | 2013 | up 100.0% | volatile |
| 73 | Ecuador | 0 t | 2013 | down 100.0% | volatile |
| 73 | Finland | 0 t | 2013 | — | flat |
| 73 | Gabon | 0 t | 2013 | — | volatile |
| 73 | Guinea | 0 t | 2013 | up 100.0% | flat |
| 73 | Guinea-Bissau | 0 t | 2013 | — | volatile |
| 73 | Grenada | 0 t | 2013 | — | flat |
| 73 | Honduras | 0 t | 2013 | down 100.0% | volatile |
| 73 | Ireland | 0 t | 2013 | down 100.0% | volatile |
| 73 | Iraq | 0 t | 2013 | — | flat |
| 73 | Jamaica | 0 t | 2013 | — | volatile |
| 73 | Jordan | 0 t | 2013 | — | flat |
| 73 | Kenya | 0 t | 2013 | down 100.0% | volatile |
| 73 | Kuwait | 0 t | 2013 | down 100.0% | volatile |
| 73 | Madagascar | 0 t | 2013 | — | flat |
| 73 | North Macedonia | 0 t | 2013 | up 100.0% | volatile |
| 73 | Mali | 0 t | 2013 | up 100.0% | flat |
| 73 | Malta | 0 t | 2013 | — | volatile |
| 73 | Mongolia | 0 t | 2013 | down 100.0% | flat |
| 73 | Mozambique | 0 t | 2013 | — | flat |
| 73 | Mauritania | 0 t | 2013 | up 100.0% | flat |
| 73 | Mauritius | 0 t | 2013 | up 100.0% | flat |
| 73 | Malawi | 0 t | 2013 | up 100.0% | volatile |
| 73 | Namibia | 0 t | 2013 | down 100.0% | flat |
| 73 | Niger | 0 t | 2013 | up 100.0% | volatile |
| 73 | New Zealand | 0 t | 2013 | — | flat |
| 73 | Peru | 0 t | 2013 | up 100.0% | volatile |
| 73 | Philippines | 0 t | 2013 | up 100.0% | volatile |
| 73 | Saudi Arabia | 0 t | 2013 | — | flat |
| 73 | Sierra Leone | 0 t | 2013 | — | volatile |
| 73 | El Salvador | 0 t | 2013 | down 100.0% | volatile |
| 73 | Sao Tome and Principe | 0 t | 2013 | down 100.0% | volatile |
| 73 | Suriname | 0 t | 2013 | — | flat |
| 73 | Sweden | 0 t | 2013 | down 100.0% | volatile |
| 73 | Eswatini | 0 t | 2013 | down 100.0% | volatile |
| 73 | Tajikistan | 0 t | 2013 | up 100.0% | volatile |
| 73 | Samoa | 0 t | 2013 | up 100.0% | volatile |
| 73 | Yemen | 0 t | 2013 | — | flat |
| 73 | Timor-Leste | 0 t | 2013 | — | volatile |
| 73 | Cabo Verde | 0 t | 2013 | — | flat |
| 73 | China, Hong Kong SAR | 0 t | 2013 | down 100.0% | volatile |
| 73 | Republic of Korea | 0 t | 2013 | up 100.0% | volatile |
| 73 | Viet Nam | 0 t | 2013 | up 100.0% | volatile |
| 73 | China, Macao SAR | 0 t | 2013 | — | flat |
| 73 | Netherlands Antilles (former) | 0 t | 2010 | down 100.0% | flat |
| 129 | Antigua and Barbuda | -50 t | 2013 | — | volatile |
| 130 | Trinidad and Tobago | -200 t | 2013 | up 92.1% | volatile |
| 131 | Brunei Darussalam | -250 t | 2013 | down 150.0% | volatile |
| 132 | New Caledonia | -720 t | 2013 | down 93.9% | volatile |
| 133 | Luxembourg | -732.31 t | 2013 | down 163.6% | volatile |
| 134 | Chad | -2,000 t | 2013 | unchanged | volatile |
| 135 | Austria | -2,472 t | 2013 | down 104.8% | volatile |
| 136 | Thailand | -2,500 t | 2013 | down 1,328.6% | volatile |
| 137 | Dominica | -2,714 t | 2013 | — | volatile |
| 138 | Guyana | -2,800 t | 2013 | — | volatile |
| 139 | Lao People's Democratic Republic | -3,500 t | 2013 | — | volatile |
| 140 | Melanesia | -3,775 t | 2013 | up 93.6% | volatile |
| 141 | Kyrgyzstan | -4,500 t | 2013 | — | volatile |
| 142 | Cambodia | -5,000 t | 2013 | up 50.0% | volatile |
| 143 | Japan | -7,193 t | 2013 | up 89.0% | volatile |
| 144 | Kiribati | -8,951 t | 2013 | — | volatile |
| 144 | Micronesia | -8,951 t | 2013 | — | volatile |
| 146 | Solomon Islands | -9,094 t | 2013 | down 152.7% | volatile |
| 147 | Colombia | -9,880 t | 2013 | down 131.8% | volatile |
| 148 | Albania | -10,000 t | 2013 | down 65,819.6% | volatile |
| 148 | Nigeria | -10,000 t | 2013 | up 73.5% | volatile |
| 150 | Latvia | -11,209 t | 2013 | down 4.2% | volatile |
| 151 | Bosnia and Herzegovina | -11,500 t | 2013 | down 483.3% | volatile |
| 152 | Nepal | -19,920 t | 2013 | down 498.4% | volatile |
| 153 | Morocco | -29,167 t | 2013 | up 89.2% | volatile |
| 154 | Portugal | -31,662 t | 2013 | down 445.1% | volatile |
| 155 | Serbia | -43,000 t | 2013 | up 54.7% | volatile |
| 156 | Belgium-Luxembourg | -49,300 t | 1999 | down 264.9% | volatile |
| 157 | Sri Lanka | -67,184 t | 2013 | — | volatile |
| 158 | Sudan (former) | -75,050 t | 2011 | down 354.4% | volatile |
| 159 | China, mainland | -77,000 t | 2013 | up 48.7% | volatile |
| 160 | Italy | -77,385 t | 2013 | down 184.6% | volatile |
| 161 | Zambia | -82,347 t | 2013 | down 1,958.7% | volatile |
| 162 | Iran (Islamic Republic of) | -109,838 t | 2013 | up 66.7% | volatile |
| 163 | Burkina Faso | -124,000 t | 2013 | down 4,233.3% | volatile |
| 164 | Spain | -130,071 t | 2013 | down 183.1% | volatile |
| 165 | Kazakhstan | -221,000 t | 2013 | down 246.9% | volatile |
| 166 | Hungary | -416,661 t | 2013 | down 423.8% | volatile |
| 167 | United Republic of Tanzania | -670,000 t | 2013 | down 1,821.2% | volatile |
| 168 | Brazil | -1.09 million t | 2013 | up 70.2% | volatile |
| 169 | Russian Federation | -1.25 million t | 2013 | down 1,689.3% | volatile |
| 170 | Germany | -2.09 million t | 2013 | down 288.7% | volatile |
| 171 | India | -2.79 million t | 2013 | down 2,729.9% | volatile |
| 172 | Canada | -3.05 million t | 2013 | down 686.2% | volatile |
| 173 | Argentina | -5.34 million t | 2013 | down 386.2% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Oceania 528,810 t
- Eastern Asia 253,262 t
- Western Africa 232,133 t
- Western Asia 163,767 t
- Central America 143,220 t
- Northern Europe 97,900 t
- Small Island Developing States 13,843 t
- South-eastern Asia 2,372 t
- Central African Republic 0 t
- Middle Africa -2,000 t
- Central Asia -44,100 t
- South Africa -51,846 t
About this data
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 caput 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.