Rubber — 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
Rubber — Other uses (non-food) is currently reported for 163 countries. The highest value is 3.32 million t in China, mainland; the lowest is 0 t in China, Macao SAR.
The median across all reporting countries is 742 t, and the mean is 65,737 t.
Over the past decade 60 countries rose and 76 fell. The largest increase was in Jamaica (up 7,700.0%), and the largest decrease in Guyana (down 100.0%).
Rubber — Other uses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China, mainland | 3.32 million t | 2013 | up 88.2% | volatile |
| 2 | India | 1.21 million t | 2013 | up 71.6% | volatile |
| 2 | Iran (Islamic Republic of) | 69,892 t | 2013 | up 51.8% | volatile |
| 3 | Malaysia | 983,886 t | 2013 | up 106.3% | volatile |
| 4 | Japan | 728,265 t | 2013 | down 8.0% | rising |
| 4 | Bolivia (Plurinational State of) | 18,776 t | 2013 | up 56.3% | volatile |
| 5 | Indonesia | 430,077 t | 2013 | up 168.0% | volatile |
| 5 | Viet Nam | 12,821 t | 2013 | up 300.3% | volatile |
| 6 | Thailand | 428,629 t | 2013 | up 250.1% | volatile |
| 7 | Brazil | 402,052 t | 2013 | up 57.5% | volatile |
| 7 | Venezuela (Bolivarian Republic of) | 10,092 t | 2013 | down 48.4% | rising |
| 8 | Republic of Korea | 396,029 t | 2013 | up 16.3% | volatile |
| 8 | Lao People's Democratic Republic | 5,973 t | 2013 | up 399.0% | volatile |
| 9 | Germany | 256,020 t | 2013 | down 5.1% | rising |
| 9 | Democratic People's Republic of Korea | 4,000 t | 2013 | down 35.3% | volatile |
| 10 | Myanmar | 147,948 t | 2013 | up 1,298.5% | volatile |
| 10 | Polynesia | 21 t | 2013 | — | volatile |
| 11 | Spain | 141,586 t | 2013 | down 24.2% | rising |
| 11 | Melanesia | 16 t | 2013 | down 50.0% | volatile |
| 12 | T�rkiye | 134,524 t | 2013 | up 23.0% | volatile |
| 12 | United Republic of Tanzania | 13 t | 2013 | down 99.5% | volatile |
| 13 | Mexico | 129,602 t | 2013 | up 17.7% | volatile |
| 13 | Republic of Moldova | 2 t | 2013 | — | volatile |
| 14 | Canada | 126,329 t | 2013 | down 12.7% | rising |
| 14 | Timor-Leste | 0 t | 2013 | — | volatile |
| 15 | France | 125,154 t | 2013 | down 59.2% | rising |
| 16 | Sri Lanka | 117,991 t | 2013 | up 82.7% | volatile |
| 17 | China, Taiwan Province of | 106,132 t | 2013 | down 10.8% | volatile |
| 18 | Italy | 103,595 t | 2013 | down 34.1% | rising |
| 19 | Poland | 102,361 t | 2013 | up 41.6% | rising |
| 20 | Nigeria | 80,142 t | 2013 | down 32.9% | volatile |
| 21 | USSR | 80,000 t | 1991 | down 63.3% | falling |
| 22 | Russian Federation | 76,979 t | 2013 | up 104.8% | volatile |
| 23 | Czechia | 67,962 t | 2013 | up 30.5% | rising |
| 24 | Slovakia | 54,970 t | 2013 | up 57.7% | rising |
| 25 | United Kingdom of Great Britain and Northern Ireland | 49,845 t | 2013 | down 48.4% | falling |
| 26 | Romania | 49,512 t | 2013 | up 261.6% | volatile |
| 27 | South Africa | 46,499 t | 2013 | down 29.4% | rising |
| 27 | Caribbean | 245 t | 2013 | down 81.3% | volatile |
| 28 | Yugoslav SFR | 44,000 t | 1991 | up 14.7% | rising |
| 29 | Argentina | 43,830 t | 2013 | up 27.8% | rising |
| 30 | Philippines | 43,645 t | 2013 | up 14.4% | volatile |
| 31 | Netherlands (Kingdom of the) | 41,064 t | 2013 | up 192.7% | volatile |
| 32 | Belgium-Luxembourg | 35,679 t | 1999 | down 26.1% | rising |
| 33 | Belarus | 33,317 t | 2013 | up 1,113.3% | volatile |
| 34 | Czechoslovakia | 31,500 t | 1992 | down 35.4% | falling |
| 35 | C�te d'Ivoire | 30,984 t | 2013 | up 1,037.4% | volatile |
| 36 | Pakistan | 28,933 t | 2013 | down 26.9% | volatile |
| 37 | Hungary | 28,763 t | 2013 | up 109.4% | falling |
| 38 | Luxembourg | 27,341 t | 2013 | down 38.3% | volatile |
| 39 | Egypt | 24,865 t | 2013 | up 255.8% | volatile |
| 40 | Ecuador | 24,411 t | 2013 | up 83.1% | volatile |
| 41 | Portugal | 24,001 t | 2013 | up 8.2% | volatile |
| 42 | Guatemala | 20,595 t | 2013 | up 51.8% | volatile |
| 43 | Slovenia | 15,572 t | 2013 | down 23.7% | rising |
| 44 | Serbia | 14,887 t | 2013 | up 109.7% | rising |
| 45 | Finland | 14,272 t | 2013 | down 44.8% | volatile |
| 46 | Peru | 13,714 t | 2013 | up 71.7% | rising |
| 47 | Chile | 12,934 t | 2013 | down 12.4% | rising |
| 48 | Colombia | 12,632 t | 2013 | down 19.1% | rising |
| 49 | Serbia and Montenegro | 10,894 t | 2005 | — | volatile |
| 50 | Costa Rica | 8,901 t | 2013 | up 57.8% | volatile |
| 51 | Israel | 8,581 t | 2013 | down 10.3% | rising |
| 52 | Belgium | 7,910 t | 2013 | down 65.2% | falling |
| 53 | Australia and New Zealand | 7,822 t | 2013 | down 79.0% | falling |
| 54 | Ghana | 7,748 t | 2013 | up 2,082.5% | volatile |
| 55 | Bangladesh | 6,938 t | 2013 | down 8.3% | volatile |
| 56 | Australia | 6,865 t | 2013 | down 75.7% | falling |
| 57 | Cameroon | 6,262 t | 2013 | up 160.2% | volatile |
| 58 | Austria | 6,048 t | 2013 | down 79.4% | rising |
| 59 | Sweden | 6,003 t | 2013 | down 4.1% | falling |
| 60 | United Arab Emirates | 4,821 t | 2013 | up 317.8% | volatile |
| 61 | Tunisia | 4,539 t | 2013 | down 33.0% | volatile |
| 62 | Guinea | 4,070 t | 2013 | down 19.2% | volatile |
| 63 | Ukraine | 3,298 t | 2013 | — | volatile |
| 64 | Greece | 2,750 t | 2013 | down 53.1% | rising |
| 65 | Uruguay | 2,528 t | 2013 | up 1,121.3% | falling |
| 66 | Congo | 2,100 t | 2013 | up 381.7% | volatile |
| 67 | Kenya | 2,095 t | 2013 | down 34.9% | rising |
| 68 | Gabon | 2,001 t | 2013 | down 63.3% | volatile |
| 69 | Ethiopia | 1,724 t | 2013 | down 47.4% | rising |
| 70 | Central African Republic | 1,475 t | 2013 | up 39.8% | volatile |
| 71 | Saudi Arabia | 1,100 t | 2013 | up 77.1% | volatile |
| 72 | Croatia | 969 t | 2013 | down 16.8% | rising |
| 73 | New Zealand | 957 t | 2013 | down 89.5% | falling |
| 74 | Zimbabwe | 914 t | 2013 | down 66.4% | falling |
| 75 | Bulgaria | 749 t | 2013 | down 74.6% | volatile |
| 76 | Burkina Faso | 742 t | 2013 | up 82.3% | volatile |
| 77 | China, Hong Kong SAR | 700 t | 2013 | down 97.8% | volatile |
| 78 | Nepal | 657 t | 2013 | down 23.1% | volatile |
| 79 | Switzerland | 622 t | 2013 | down 78.9% | volatile |
| 80 | Jordan | 593 t | 2013 | up 285.1% | volatile |
| 81 | Morocco | 501 t | 2013 | down 88.2% | volatile |
| 82 | Norway | 481 t | 2013 | up 291.1% | volatile |
| 83 | Senegal | 419 t | 2013 | up 417.3% | volatile |
| 84 | Ireland | 382 t | 2013 | down 59.1% | volatile |
| 85 | Azerbaijan | 367 t | 2013 | — | volatile |
| 86 | Algeria | 295 t | 2013 | down 85.1% | volatile |
| 87 | Oman | 261 t | 2013 | down 46.5% | volatile |
| 88 | Brunei Darussalam | 240 t | 2013 | up 1.3% | volatile |
| 89 | Cambodia | 203 t | 2013 | down 94.2% | volatile |
| 90 | Kuwait | 195 t | 2013 | up 550.0% | volatile |
| 91 | Lithuania | 175 t | 2013 | down 34.9% | volatile |
| 92 | Namibia | 162 t | 2013 | up 2,600.0% | volatile |
| 93 | Honduras | 142 t | 2013 | down 41.3% | volatile |
| 94 | Denmark | 127 t | 2013 | down 87.4% | volatile |
| 95 | Nicaragua | 120 t | 2013 | up 50.0% | volatile |
| 96 | El Salvador | 110 t | 2013 | down 45.8% | volatile |
| 97 | Zambia | 103 t | 2013 | down 71.2% | volatile |
| 98 | Iraq | 101 t | 2013 | down 1.9% | volatile |
| 99 | Angola | 100 t | 2013 | up 1,900.0% | volatile |
| 100 | Cuba | 97 t | 2013 | down 87.9% | volatile |
| 100 | Kazakhstan | 97 t | 2013 | — | volatile |
| 102 | Mauritius | 93 t | 2013 | down 17.7% | volatile |
| 103 | Latvia | 92 t | 2013 | up 162.9% | volatile |
| 104 | Jamaica | 78 t | 2013 | up 7,700.0% | volatile |
| 105 | Bosnia and Herzegovina | 74 t | 2013 | up 393.3% | volatile |
| 106 | Malawi | 71 t | 2013 | up 1,320.0% | volatile |
| 107 | Lebanon | 70 t | 2013 | up 6.1% | volatile |
| 108 | Botswana | 56 t | 2013 | up 19.1% | volatile |
| 109 | Liberia | 54 t | 2013 | — | volatile |
| 110 | Dominican Republic | 49 t | 2013 | down 53.3% | volatile |
| 111 | Sudan (former) | 46 t | 2011 | down 89.8% | volatile |
| 112 | Mali | 29 t | 2013 | up 2,800.0% | volatile |
| 113 | Albania | 27 t | 2013 | down 87.6% | volatile |
| 114 | Mauritania | 25 t | 2013 | — | volatile |
| 115 | Paraguay | 24 t | 2013 | up 41.2% | volatile |
| 115 | Rwanda | 24 t | 2013 | up 26.3% | volatile |
| 117 | Yemen | 22 t | 2013 | — | volatile |
| 118 | Samoa | 20 t | 2013 | — | volatile |
| 119 | Georgia | 12 t | 2013 | — | volatile |
| 120 | Niger | 11 t | 2013 | — | volatile |
| 121 | Grenada | 9 t | 2013 | — | volatile |
| 121 | Malta | 9 t | 2013 | down 50.0% | volatile |
| 123 | Fiji | 8 t | 2013 | down 69.2% | volatile |
| 123 | New Caledonia | 8 t | 2013 | up 33.3% | volatile |
| 125 | Eswatini | 7 t | 2013 | down 87.5% | volatile |
| 125 | Trinidad and Tobago | 7 t | 2013 | down 98.3% | volatile |
| 127 | North Macedonia | 6 t | 2013 | down 84.6% | volatile |
| 127 | Mozambique | 6 t | 2013 | down 98.2% | volatile |
| 129 | Armenia | 5 t | 2013 | down 78.3% | volatile |
| 129 | Uganda | 5 t | 2013 | down 89.6% | volatile |
| 131 | Iceland | 4 t | 2013 | — | volatile |
| 131 | Panama | 4 t | 2013 | down 98.1% | volatile |
| 133 | Bahamas | 3 t | 2013 | — | volatile |
| 133 | Estonia | 3 t | 2013 | unchanged | volatile |
| 135 | Kyrgyzstan | 2 t | 2013 | — | volatile |
| 135 | Saint Kitts and Nevis | 2 t | 2013 | — | volatile |
| 135 | Montenegro | 2 t | 2013 | down 86.7% | volatile |
| 138 | Gambia | 1 t | 2013 | — | volatile |
| 138 | French Polynesia | 1 t | 2013 | — | volatile |
| 140 | Benin | 0 t | 2013 | — | volatile |
| 140 | Barbados | 0 t | 2013 | — | volatile |
| 140 | Cyprus | 0 t | 2013 | — | volatile |
| 140 | Djibouti | 0 t | 2013 | — | volatile |
| 140 | Guinea-Bissau | 0 t | 2013 | — | volatile |
| 140 | Guyana | 0 t | 2013 | down 100.0% | volatile |
| 140 | Madagascar | 0 t | 2013 | down 100.0% | volatile |
| 140 | Mongolia | 0 t | 2013 | down 100.0% | volatile |
| 140 | Chad | 0 t | 2013 | — | volatile |
| 140 | Togo | 0 t | 2013 | down 100.0% | volatile |
| 140 | Ethiopia PDR | 0 t | 1992 | down 100.0% | volatile |
| 140 | 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 11.40 million t
- Asia 8.20 million t
- Eastern Asia 4.56 million t
- South-Eastern Asia 2.05 million t
- Land Locked Developing Countries 31,070 t
- Americas 1.72 million t
- Southern Asia 1.43 million t
- Low Income Food Deficit Countries 1.38 million t
- Middle Africa 11,938 t
- Europe 1.26 million t
- European Union (27) 1.08 million t
- Northern America 1.02 million t
- United States of America 894,802 t
- South America 540,993 t
- Western Europe 464,159 t
- Eastern Europe 417,913 t
- Net Food Importing Developing Countries 407,733 t
- Southern Europe 303,478 t
- Africa 218,135 t
- Least developed countries 170,613 t
- Central America 159,474 t
- Western Asia 150,652 t
- Western Africa 124,225 t
- Northern Europe 71,384 t
- Southern Africa 46,724 t
- Northern Africa 30,200 t
- Oceania 7,859 t
- Eastern Africa 5,048 t
- Small Island Developing States 375 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.