Rubber — Import Quantity 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
Rubber — Import Quantity is currently reported for 160 countries. The highest value is 2.47 million t in China, mainland; the lowest is 0 t in China, Macao SAR.
The median across all reporting countries is 424.5 t, and the mean is 49,475 t.
Over the past decade 55 countries rose and 80 fell. The largest increase was in Jamaica (up 7,700.0%), and the largest decrease in Congo (down 100.0%).
Rubber — Import Quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China, mainland | 2.47 million t | 2013 | up 105.5% | volatile |
| 2 | Malaysia | 1.00 million t | 2013 | up 130.4% | volatile |
| 2 | Viet Nam | 90,000 t | 2013 | up 1,813.7% | volatile |
| 3 | Japan | 728,581 t | 2013 | down 9.0% | rising |
| 3 | Iran (Islamic Republic of) | 70,493 t | 2013 | up 53.1% | volatile |
| 4 | Republic of Korea | 396,347 t | 2013 | up 16.1% | volatile |
| 5 | Germany | 374,717 t | 2013 | up 26.6% | rising |
| 5 | Venezuela (Bolivarian Republic of) | 10,092 t | 2013 | down 48.4% | rising |
| 6 | India | 334,266 t | 2013 | up 684.1% | volatile |
| 6 | Lao People's Democratic Republic | 5,973 t | 2013 | up 399.0% | volatile |
| 7 | Brazil | 223,752 t | 2013 | up 38.3% | volatile |
| 7 | Democratic People's Republic of Korea | 4,000 t | 2013 | down 35.3% | volatile |
| 8 | France | 165,197 t | 2013 | down 49.3% | rising |
| 8 | Bolivia (Plurinational State of) | 776 t | 2013 | up 6,954.6% | volatile |
| 9 | Spain | 146,660 t | 2013 | down 22.7% | rising |
| 9 | United Republic of Tanzania | 177 t | 2013 | down 95.5% | volatile |
| 10 | T�rkiye | 136,172 t | 2013 | up 24.2% | volatile |
| 11 | Canada | 131,684 t | 2013 | down 11.4% | rising |
| 11 | Polynesia | 21 t | 2013 | — | volatile |
| 12 | Italy | 118,349 t | 2013 | down 28.0% | rising |
| 12 | Melanesia | 13 t | 2013 | down 53.6% | volatile |
| 13 | China, Taiwan Province of | 109,981 t | 2013 | down 7.9% | volatile |
| 13 | Republic of Moldova | 2 t | 2013 | — | volatile |
| 14 | Poland | 109,089 t | 2013 | up 46.5% | rising |
| 15 | Luxembourg | 84,741 t | 2013 | up 90.6% | volatile |
| 16 | Mexico | 81,628 t | 2013 | down 3.4% | rising |
| 17 | USSR | 80,000 t | 1991 | down 63.3% | falling |
| 18 | Russian Federation | 77,166 t | 2013 | up 104.6% | volatile |
| 19 | Czechia | 69,649 t | 2013 | up 33.0% | rising |
| 20 | Netherlands (Kingdom of the) | 68,973 t | 2013 | up 92.5% | volatile |
| 21 | Belgium | 66,009 t | 2013 | up 21.0% | rising |
| 22 | Slovakia | 58,393 t | 2013 | up 63.9% | rising |
| 23 | United Kingdom of Great Britain and Northern Ireland | 58,325 t | 2013 | down 40.9% | falling |
| 24 | Romania | 51,324 t | 2013 | up 274.8% | volatile |
| 25 | South Africa | 47,732 t | 2013 | down 28.5% | rising |
| 26 | Yugoslav SFR | 44,000 t | 1991 | up 14.7% | rising |
| 27 | Argentina | 43,861 t | 2013 | up 27.6% | rising |
| 27 | Caribbean | 213 t | 2013 | down 83.2% | volatile |
| 28 | Belgium-Luxembourg | 39,936 t | 1999 | down 18.3% | rising |
| 29 | Belarus | 33,318 t | 2013 | up 1,079.0% | volatile |
| 30 | Czechoslovakia | 31,500 t | 1992 | down 35.4% | falling |
| 31 | Pakistan | 28,954 t | 2013 | down 26.9% | volatile |
| 32 | Hungary | 28,935 t | 2013 | up 101.7% | falling |
| 33 | Egypt | 25,204 t | 2013 | up 224.1% | volatile |
| 34 | Indonesia | 24,527 t | 2013 | up 74.4% | volatile |
| 35 | Portugal | 24,081 t | 2013 | up 7.6% | volatile |
| 36 | Finland | 16,254 t | 2013 | down 37.2% | volatile |
| 37 | Slovenia | 15,715 t | 2013 | down 24.1% | rising |
| 38 | Serbia | 15,005 t | 2013 | up 95.1% | rising |
| 39 | Peru | 14,168 t | 2013 | up 73.4% | volatile |
| 40 | Colombia | 13,881 t | 2013 | down 11.5% | rising |
| 41 | Chile | 13,163 t | 2013 | down 11.4% | rising |
| 42 | Serbia and Montenegro | 11,172 t | 2005 | — | volatile |
| 43 | Sri Lanka | 11,156 t | 2013 | up 46.7% | volatile |
| 44 | Costa Rica | 8,920 t | 2013 | up 57.8% | volatile |
| 45 | Israel | 8,616 t | 2013 | down 11.6% | rising |
| 46 | Australia and New Zealand | 8,369 t | 2013 | down 77.8% | falling |
| 47 | Australia | 7,382 t | 2013 | down 74.1% | falling |
| 48 | Sweden | 6,588 t | 2013 | down 6.5% | falling |
| 49 | Austria | 6,128 t | 2013 | down 79.5% | rising |
| 50 | United Arab Emirates | 5,905 t | 2013 | up 411.7% | volatile |
| 51 | China, Hong Kong SAR | 5,700 t | 2013 | down 89.7% | volatile |
| 52 | Ecuador | 5,058 t | 2013 | up 4.4% | volatile |
| 53 | Tunisia | 4,555 t | 2013 | down 32.8% | volatile |
| 54 | Guatemala | 3,570 t | 2013 | up 2,379.1% | volatile |
| 55 | Ukraine | 3,298 t | 2013 | — | volatile |
| 56 | Greece | 2,932 t | 2013 | down 50.3% | rising |
| 57 | Thailand | 2,606 t | 2013 | up 30.9% | volatile |
| 58 | Uruguay | 2,528 t | 2013 | up 1,115.4% | falling |
| 59 | Saudi Arabia | 2,293 t | 2013 | up 53.7% | volatile |
| 60 | Kenya | 2,123 t | 2013 | down 38.4% | rising |
| 61 | Ethiopia | 1,724 t | 2013 | down 3.0% | volatile |
| 62 | C�te d'Ivoire | 1,281 t | 2013 | down 54.9% | volatile |
| 63 | Bangladesh | 1,019 t | 2013 | down 56.9% | volatile |
| 64 | New Zealand | 987 t | 2013 | down 89.2% | falling |
| 65 | Croatia | 971 t | 2013 | down 16.6% | rising |
| 66 | Zimbabwe | 914 t | 2013 | down 52.3% | falling |
| 67 | Bulgaria | 786 t | 2013 | down 74.2% | volatile |
| 68 | Burkina Faso | 742 t | 2013 | up 82.3% | volatile |
| 69 | Nepal | 657 t | 2013 | down 23.1% | volatile |
| 70 | Switzerland | 647 t | 2013 | down 78.3% | volatile |
| 71 | Jordan | 593 t | 2013 | up 285.1% | volatile |
| 72 | Morocco | 501 t | 2013 | down 88.2% | volatile |
| 73 | Norway | 486 t | 2013 | up 254.7% | volatile |
| 74 | Senegal | 446 t | 2013 | up 450.6% | volatile |
| 75 | Ireland | 403 t | 2013 | down 63.9% | volatile |
| 76 | Ethiopia PDR | 380 t | 1992 | down 80.8% | volatile |
| 77 | Azerbaijan | 367 t | 2013 | — | volatile |
| 78 | Zambia | 323 t | 2013 | down 14.6% | volatile |
| 79 | Denmark | 305 t | 2013 | down 83.4% | volatile |
| 80 | Algeria | 295 t | 2013 | down 85.1% | volatile |
| 81 | Oman | 261 t | 2013 | down 46.5% | volatile |
| 82 | Lithuania | 236 t | 2013 | down 74.7% | volatile |
| 83 | Kuwait | 197 t | 2013 | up 556.7% | volatile |
| 84 | Namibia | 190 t | 2013 | up 251.9% | volatile |
| 85 | Honduras | 157 t | 2013 | down 35.9% | volatile |
| 86 | Nigeria | 143 t | 2013 | up 7,050.0% | volatile |
| 87 | Nicaragua | 120 t | 2013 | up 50.0% | volatile |
| 88 | El Salvador | 110 t | 2013 | down 45.8% | volatile |
| 89 | Philippines | 103 t | 2013 | down 96.9% | volatile |
| 90 | Iraq | 101 t | 2013 | down 1.9% | volatile |
| 91 | Angola | 100 t | 2013 | up 1,900.0% | volatile |
| 92 | Cuba | 97 t | 2013 | down 87.9% | volatile |
| 92 | Kazakhstan | 97 t | 2013 | — | volatile |
| 94 | Mauritius | 93 t | 2013 | down 17.7% | volatile |
| 95 | Latvia | 92 t | 2013 | up 73.6% | volatile |
| 96 | Estonia | 81 t | 2013 | down 33.6% | volatile |
| 97 | Jamaica | 78 t | 2013 | up 7,700.0% | volatile |
| 98 | Bosnia and Herzegovina | 74 t | 2013 | up 393.3% | volatile |
| 98 | Malawi | 74 t | 2013 | up 825.0% | volatile |
| 100 | Lebanon | 70 t | 2013 | down 9.1% | volatile |
| 101 | Botswana | 56 t | 2013 | down 3.4% | volatile |
| 102 | Sudan (former) | 46 t | 2011 | down 89.8% | volatile |
| 103 | Ghana | 36 t | 2013 | up 414.3% | volatile |
| 104 | Cambodia | 29 t | 2013 | down 91.5% | volatile |
| 104 | Mali | 29 t | 2013 | down 27.5% | volatile |
| 106 | Myanmar | 28 t | 2013 | down 98.1% | volatile |
| 107 | Albania | 27 t | 2013 | down 87.6% | volatile |
| 108 | Mauritania | 25 t | 2013 | — | volatile |
| 109 | Guinea | 24 t | 2013 | up 50.0% | volatile |
| 109 | Paraguay | 24 t | 2013 | up 41.2% | volatile |
| 109 | Rwanda | 24 t | 2013 | up 26.3% | volatile |
| 112 | Yemen | 22 t | 2013 | — | volatile |
| 113 | Samoa | 20 t | 2013 | — | volatile |
| 114 | Dominican Republic | 17 t | 2013 | down 73.0% | volatile |
| 115 | Georgia | 12 t | 2013 | — | volatile |
| 116 | Niger | 11 t | 2013 | — | volatile |
| 117 | Grenada | 9 t | 2013 | — | volatile |
| 117 | Malta | 9 t | 2013 | down 50.0% | volatile |
| 119 | New Caledonia | 8 t | 2013 | up 33.3% | volatile |
| 120 | Eswatini | 7 t | 2013 | down 90.0% | volatile |
| 120 | Trinidad and Tobago | 7 t | 2013 | down 98.3% | volatile |
| 122 | Cameroon | 6 t | 2013 | up 500.0% | volatile |
| 122 | North Macedonia | 6 t | 2013 | down 85.0% | volatile |
| 122 | Mozambique | 6 t | 2013 | down 98.2% | volatile |
| 122 | Uganda | 6 t | 2013 | down 87.5% | volatile |
| 126 | Armenia | 5 t | 2013 | down 78.3% | volatile |
| 126 | Fiji | 5 t | 2013 | down 77.3% | volatile |
| 128 | Iceland | 4 t | 2013 | — | volatile |
| 128 | Panama | 4 t | 2013 | down 98.1% | volatile |
| 130 | Bahamas | 3 t | 2013 | — | volatile |
| 131 | Kyrgyzstan | 2 t | 2013 | — | volatile |
| 131 | Saint Kitts and Nevis | 2 t | 2013 | — | volatile |
| 131 | Montenegro | 2 t | 2013 | down 86.7% | volatile |
| 134 | Gambia | 1 t | 2013 | — | volatile |
| 134 | French Polynesia | 1 t | 2013 | — | volatile |
| 136 | Benin | 0 t | 2013 | — | volatile |
| 136 | Barbados | 0 t | 2013 | — | volatile |
| 136 | Central African Republic | 0 t | 2013 | — | volatile |
| 136 | Congo | 0 t | 2013 | down 100.0% | volatile |
| 136 | Cyprus | 0 t | 2013 | — | volatile |
| 136 | Djibouti | 0 t | 2013 | — | volatile |
| 136 | Guyana | 0 t | 2013 | down 100.0% | volatile |
| 136 | Liberia | 0 t | 2013 | — | volatile |
| 136 | Madagascar | 0 t | 2013 | down 100.0% | volatile |
| 136 | Mongolia | 0 t | 2013 | down 100.0% | volatile |
| 136 | Chad | 0 t | 2013 | — | volatile |
| 136 | Togo | 0 t | 2013 | down 100.0% | volatile |
| 136 | Brunei Darussalam | 0 t | 2013 | down 100.0% | volatile |
| 136 | China, Macao SAR | 0 t | 2013 | down 100.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 8.63 million t
- Asia 5.45 million t
- Eastern Asia 3.72 million t
- Europe 1.60 million t
- Americas 1.48 million t
- Land Locked Developing Countries 11,819 t
- European Union (27) 1.42 million t
- South-Eastern Asia 1.13 million t
- Northern America 1.06 million t
- United States of America 927,335 t
- Western Europe 766,412 t
- Southern Asia 446,545 t
- Middle Africa 106 t
- Eastern Europe 431,960 t
- Low Income Food Deficit Countries 376,835 t
- South America 327,303 t
- Southern Europe 323,831 t
- Western Asia 154,614 t
- Net Food Importing Developing Countries 110,893 t
- Central America 94,509 t
- Africa 86,851 t
- Northern Europe 82,774 t
- Southern Africa 47,985 t
- Northern Africa 30,558 t
- Least developed countries 11,443 t
- Oceania 8,403 t
- Eastern Africa 5,464 t
- Western Africa 2,738 t
- Small Island Developing States 340 t
- Central Asia 99 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.