Oilcrops — Other uses (non-food) 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 — Other uses (non-food) is currently reported for 162 countries. The highest value is 5.71 million t in Philippines; the lowest is 0 t in New Zealand.
The median across all reporting countries is 1,736 t, and the mean is 132,723 t.
Over the past decade 89 countries rose and 59 fell. The largest increase was in Uruguay (up 409,067.0%), and the largest decrease in Cuba (down 100.0%).
Oilcrops — Other uses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Philippines | 5.71 million t | 2013 | up 125.5% | volatile |
| 2 | Indonesia | 4.21 million t | 2013 | up 62.0% | volatile |
| 2 | Melanesia | 682,959 t | 2013 | up 359.9% | volatile |
| 3 | Ukraine | 3.47 million t | 2013 | up 2,956.8% | volatile |
| 4 | China, mainland | 998,953 t | 2013 | up 329.5% | volatile |
| 4 | United Republic of Tanzania | 210,005 t | 2013 | up 200.0% | volatile |
| 5 | Mexico | 459,515 t | 2013 | down 66.0% | volatile |
| 5 | Micronesia | 116,400 t | 2013 | up 271.9% | volatile |
| 6 | Brazil | 439,937 t | 2013 | up 136.0% | volatile |
| 7 | Pakistan | 402,084 t | 2013 | up 23.4% | volatile |
| 7 | Polynesia | 68,882 t | 2013 | up 267.2% | volatile |
| 8 | Vanuatu | 381,002 t | 2013 | up 1,270.3% | volatile |
| 8 | Iran (Islamic Republic of) | 56,445 t | 2013 | up 13.0% | volatile |
| 9 | Sudan (former) | 356,217 t | 2011 | up 68.4% | volatile |
| 9 | Viet Nam | 50,908 t | 2013 | up 159.0% | volatile |
| 10 | Sri Lanka | 300,002 t | 2013 | up 36.3% | volatile |
| 10 | Venezuela (Bolivarian Republic of) | 2,641 t | 2013 | up 51.5% | volatile |
| 11 | Senegal | 267,370 t | 2013 | up 199.5% | volatile |
| 11 | Lao People's Democratic Republic | 1,112 t | 2013 | up 78.2% | volatile |
| 12 | USSR | 250,000 t | 1991 | down 30.6% | volatile |
| 12 | Bolivia (Plurinational State of) | 92 t | 2013 | down 14.8% | volatile |
| 13 | Solomon Islands | 205,861 t | 2013 | up 124.1% | volatile |
| 13 | Republic of Moldova | 50.4 t | 2013 | — | volatile |
| 14 | Thailand | 197,485 t | 2013 | down 72.3% | volatile |
| 15 | Mali | 192,746 t | 2013 | up 131.0% | volatile |
| 16 | Argentina | 175,401 t | 2013 | up 270.3% | volatile |
| 17 | Myanmar | 170,243 t | 2013 | up 11.6% | volatile |
| 18 | Jamaica | 168,942 t | 2013 | up 15.4% | volatile |
| 19 | Nigeria | 128,465 t | 2013 | down 79.8% | volatile |
| 20 | Greece | 127,888 t | 2013 | up 107.8% | volatile |
| 21 | Caribbean | 176,414 t | 2013 | up 16.7% | volatile |
| 21 | Kiribati | 116,400 t | 2013 | up 271.9% | volatile |
| 22 | Peru | 109,217 t | 2013 | up 55.7% | volatile |
| 23 | Benin | 102,910 t | 2013 | up 954.3% | volatile |
| 24 | Morocco | 98,469 t | 2013 | up 37,340.8% | volatile |
| 25 | Belgium | 98,316 t | 2013 | up 2,650.9% | volatile |
| 26 | Fiji | 84,776 t | 2013 | up 331.3% | volatile |
| 27 | France | 82,608 t | 2013 | down 9.5% | volatile |
| 28 | Serbia and Montenegro | 78,918 t | 2005 | up 262,960.0% | volatile |
| 29 | United Arab Emirates | 63,564 t | 2013 | up 53.7% | volatile |
| 29 | Cabo Verde | 82 t | 2013 | up 22.4% | volatile |
| 30 | Samoa | 62,462 t | 2013 | up 1,372.5% | volatile |
| 31 | Guinea | 61,794 t | 2013 | down 0.0% | volatile |
| 32 | Australia | 61,065 t | 2013 | down 33.6% | volatile |
| 32 | Australia and New Zealand | 61,065 t | 2013 | down 33.6% | volatile |
| 34 | Canada | 51,102 t | 2013 | up 174.1% | rising |
| 35 | Cameroon | 42,028 t | 2013 | up 625.9% | volatile |
| 36 | United Kingdom of Great Britain and Northern Ireland | 37,185 t | 2013 | down 38.7% | volatile |
| 37 | Netherlands (Kingdom of the) | 28,977 t | 2013 | up 673.5% | volatile |
| 38 | Malaysia | 28,915 t | 2013 | up 177.3% | volatile |
| 39 | Central African Republic | 26,273 t | 2013 | up 99.5% | rising |
| 40 | Colombia | 13,380 t | 2013 | down 7.5% | volatile |
| 41 | Uruguay | 12,275 t | 2013 | up 409,067.0% | volatile |
| 42 | India | 11,685 t | 2013 | up 30.1% | volatile |
| 43 | New Caledonia | 11,320 t | 2013 | up 22.9% | rising |
| 44 | Guyana | 10,003 t | 2013 | up 25.0% | volatile |
| 45 | Costa Rica | 9,590 t | 2013 | up 982.4% | volatile |
| 46 | Czechoslovakia | 8,723 t | 1992 | up 135.7% | flat |
| 47 | Zimbabwe | 8,572 t | 2013 | up 662.0% | volatile |
| 48 | T�rkiye | 8,523 t | 2013 | up 1,031.9% | volatile |
| 49 | Israel | 8,000 t | 2013 | down 50.0% | volatile |
| 50 | Hungary | 7,900 t | 2013 | down 86.0% | volatile |
| 51 | Russian Federation | 7,060 t | 2013 | down 46.1% | volatile |
| 52 | French Polynesia | 6,420 t | 2013 | down 55.8% | volatile |
| 53 | Paraguay | 6,107 t | 2013 | up 305,250.0% | volatile |
| 54 | Panama | 5,750 t | 2013 | down 16.5% | volatile |
| 55 | Serbia | 5,213 t | 2013 | down 33.6% | volatile |
| 56 | Poland | 4,936 t | 2013 | down 49.1% | volatile |
| 57 | Haiti | 4,200 t | 2013 | up 14.3% | rising |
| 58 | Guatemala | 3,380 t | 2013 | down 4.1% | volatile |
| 59 | Tunisia | 3,318 t | 2013 | down 0.2% | volatile |
| 60 | Czechia | 3,162 t | 2013 | down 62.9% | volatile |
| 61 | Algeria | 3,092 t | 2013 | up 302.1% | volatile |
| 62 | Germany | 3,032 t | 2013 | down 68.1% | volatile |
| 63 | Gambia | 2,784 t | 2013 | down 25.5% | volatile |
| 64 | Romania | 2,727 t | 2013 | up 45.6% | volatile |
| 65 | Ecuador | 2,640 t | 2013 | up 69.2% | volatile |
| 66 | Guinea-Bissau | 2,500 t | 2013 | down 11.8% | volatile |
| 67 | Madagascar | 2,487 t | 2013 | up 51.7% | volatile |
| 68 | Chile | 2,296 t | 2013 | up 127.8% | volatile |
| 69 | Belgium-Luxembourg | 2,245 t | 1999 | up 30.5% | volatile |
| 70 | Croatia | 2,195 t | 2013 | up 239.3% | volatile |
| 71 | Italy | 1,943 t | 2013 | down 57.6% | volatile |
| 72 | Angola | 1,808 t | 2013 | down 24.7% | volatile |
| 73 | Ireland | 1,793 t | 2013 | up 270.5% | volatile |
| 74 | Dominica | 1,680 t | 2013 | up 779.6% | volatile |
| 75 | South Africa | 1,517 t | 2013 | up 60.5% | volatile |
| 76 | Ghana | 1,386 t | 2013 | up 342.8% | volatile |
| 77 | Cambodia | 1,331 t | 2013 | down 46.4% | rising |
| 78 | Yugoslav SFR | 1,214 t | 1991 | up 10.7% | volatile |
| 79 | Spain | 1,200 t | 2013 | — | volatile |
| 80 | Sweden | 1,181 t | 2013 | up 30.5% | volatile |
| 81 | Kuwait | 1,173 t | 2013 | up 369.2% | volatile |
| 82 | Gabon | 1,080 t | 2013 | up 72.8% | volatile |
| 83 | Slovenia | 1,038 t | 2013 | up 75.3% | volatile |
| 84 | Togo | 996 t | 2013 | up 19.9% | volatile |
| 85 | Japan | 993 t | 2013 | down 31.9% | falling |
| 86 | Slovakia | 865 t | 2013 | down 12.1% | falling |
| 87 | China, Hong Kong SAR | 862 t | 2013 | down 36.5% | rising |
| 88 | Bosnia and Herzegovina | 679 t | 2013 | up 218.8% | volatile |
| 89 | Norway | 654 t | 2013 | up 95.2% | rising |
| 90 | Saint Kitts and Nevis | 600 t | 2013 | up 431.0% | volatile |
| 91 | North Macedonia | 582 t | 2013 | up 12.4% | volatile |
| 92 | Chad | 530 t | 2013 | down 24.9% | volatile |
| 93 | Trinidad and Tobago | 483.57 t | 2013 | up 137.7% | volatile |
| 94 | Austria | 455 t | 2013 | up 0.7% | volatile |
| 95 | Bulgaria | 420 t | 2013 | up 6,900.0% | volatile |
| 96 | Latvia | 400 t | 2013 | down 37.6% | volatile |
| 97 | Kazakhstan | 368 t | 2013 | up 28.2% | volatile |
| 98 | Oman | 333 t | 2013 | down 53.7% | volatile |
| 99 | Grenada | 320 t | 2013 | down 39.2% | rising |
| 100 | Yemen | 307 t | 2013 | — | volatile |
| 101 | Azerbaijan | 302 t | 2013 | up 5,940.0% | volatile |
| 102 | Bangladesh | 287.14 t | 2013 | up 1,082.1% | volatile |
| 103 | China, Taiwan Province of | 286 t | 2013 | up 14,200.0% | volatile |
| 104 | Jordan | 254 t | 2013 | — | volatile |
| 105 | Saudi Arabia | 249 t | 2013 | down 30.6% | volatile |
| 106 | Denmark | 232 t | 2013 | down 82.2% | volatile |
| 107 | Nicaragua | 219 t | 2013 | up 259.0% | volatile |
| 108 | Malta | 211.95 t | 2013 | down 42.3% | volatile |
| 109 | Belize | 208 t | 2013 | down 18.1% | volatile |
| 110 | Iceland | 195 t | 2013 | up 6.0% | volatile |
| 111 | Finland | 187 t | 2013 | down 28.4% | volatile |
| 112 | Egypt | 174 t | 2013 | down 99.7% | volatile |
| 113 | Lithuania | 164.5 t | 2013 | up 158.2% | volatile |
| 114 | El Salvador | 129 t | 2013 | down 38.6% | volatile |
| 115 | Eswatini | 118 t | 2013 | down 45.6% | volatile |
| 116 | Brunei Darussalam | 99 t | 2013 | down 5.7% | volatile |
| 117 | Albania | 96 t | 2013 | up 772.7% | volatile |
| 118 | Antigua and Barbuda | 91.67 t | 2013 | up 44.7% | volatile |
| 119 | Lebanon | 88 t | 2013 | down 99.7% | volatile |
| 120 | Bermuda | 70 t | 2013 | — | volatile |
| 121 | Honduras | 69 t | 2013 | up 228.6% | volatile |
| 122 | Mauritius | 62 t | 2013 | down 87.1% | volatile |
| 123 | Saint Vincent and the Grenadines | 51 t | 2013 | up 168.4% | volatile |
| 124 | Barbados | 41 t | 2013 | up 485.7% | volatile |
| 125 | Botswana | 38 t | 2013 | up 81.0% | volatile |
| 126 | Cyprus | 26 t | 2013 | down 86.2% | volatile |
| 127 | Rwanda | 25 t | 2013 | — | volatile |
| 128 | Luxembourg | 23 t | 2013 | down 72.3% | volatile |
| 128 | C�te d'Ivoire | 23 t | 2013 | — | volatile |
| 130 | Switzerland | 17 t | 2013 | down 67.9% | volatile |
| 131 | Montenegro | 15 t | 2013 | down 57.1% | rising |
| 131 | China, Macao SAR | 15 t | 2013 | up 24.4% | volatile |
| 133 | Netherlands Antilles (former) | 6 t | 2010 | down 93.0% | volatile |
| 134 | Dominican Republic | 5 t | 2013 | down 68.8% | volatile |
| 134 | Kenya | 5 t | 2013 | down 61.5% | volatile |
| 134 | Nepal | 5 t | 2013 | down 98.0% | volatile |
| 134 | Zambia | 5 t | 2013 | down 61.5% | volatile |
| 138 | Namibia | 4 t | 2013 | up 33.3% | volatile |
| 139 | Mauritania | 2 t | 2013 | — | volatile |
| 139 | Malawi | 2 t | 2013 | — | volatile |
| 139 | Republic of Korea | 2 t | 2013 | down 80.0% | volatile |
| 142 | Uganda | 1 t | 2013 | down 50.0% | volatile |
| 143 | Cuba | 0 t | 2013 | down 100.0% | volatile |
| 143 | Kyrgyzstan | 0 t | 2013 | down 100.0% | volatile |
| 143 | Liberia | 0 t | 2013 | — | volatile |
| 143 | Saint Lucia | 0 t | 2013 | — | volatile |
| 143 | Maldives | 0 t | 2013 | down 100.0% | volatile |
| 143 | Mongolia | 0 t | 2013 | — | volatile |
| 143 | Niger | 0 t | 2013 | — | volatile |
| 143 | New Zealand | 0 t | 2013 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 20.12 million t
- Asia 12.23 million t
- South-Eastern Asia 10.38 million t
- Europe 3.89 million t
- Land Locked Developing Countries 236,928 t
- Eastern Europe 3.50 million t
- Net Food Importing Developing Countries 3.23 million t
- Least developed countries 2.14 million t
- Middle Africa 71,719 t
- Low Income Food Deficit Countries 2.07 million t
- Africa 1.55 million t
- Americas 1.52 million t
- Small Island Developing States 1.06 million t
- Eastern Asia 1.00 million t
- Oceania 929,307 t
- South America 773,989 t
- Southern Asia 770,508 t
- Western Africa 761,058 t
- Northern Africa 496,259 t
- Central America 478,860 t
- European Union (27) 371,880 t
- Eastern Africa 221,164 t
- Western Europe 213,428 t
- Southern Europe 141,061 t
- Northern America 86,813 t
- Western Asia 82,819 t
- Northern Europe 41,992 t
- United States of America 35,641 t
- Southern Africa 1,677 t
- Central Asia 368 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.