Wool (Clean Eq.) — 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
Wool (Clean Eq.) — Other uses (non-food) is currently reported for 135 countries. The highest value is 1.02 million t in China, mainland; the lowest is 0 t in China, Macao SAR.
The median across all reporting countries is 2,990 t, and the mean is 28,459 t.
Over the past decade 51 countries rose and 68 fell. The largest increase was in Mauritius (up 4,935.7%), and the largest decrease in Guinea (down 100.0%).
Wool (Clean Eq.) — Other uses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China, mainland | 1.02 million t | 2013 | up 55.0% | volatile |
| 2 | USSR | 777,409 t | 1991 | down 9.6% | rising |
| 3 | Australia and New Zealand | 206,744 t | 2013 | down 59.8% | falling |
| 4 | New Zealand | 169,955 t | 2013 | down 38.6% | falling |
| 5 | India | 166,557 t | 2013 | up 0.6% | rising |
| 6 | United Kingdom of Great Britain and Northern Ireland | 109,792 t | 2013 | down 4.0% | falling |
| 7 | T�rkiye | 80,538 t | 2013 | down 1.7% | flat |
| 8 | Sudan (former) | 80,200 t | 2011 | up 15.4% | volatile |
| 9 | Iran (Islamic Republic of) | 67,862 t | 2013 | down 10.4% | rising |
| 10 | Morocco | 66,902 t | 2013 | up 11.3% | rising |
| 11 | Pakistan | 64,822 t | 2013 | down 7.1% | rising |
| 12 | Argentina | 58,002 t | 2013 | down 37.4% | falling |
| 13 | Turkmenistan | 55,969 t | 2013 | up 29.3% | rising |
| 14 | Kazakhstan | 54,623 t | 2013 | up 27.4% | volatile |
| 15 | Uruguay | 50,055 t | 2013 | down 17.7% | falling |
| 16 | Algeria | 41,000 t | 2013 | up 28.0% | rising |
| 17 | Italy | 38,860 t | 2013 | down 56.5% | falling |
| 18 | Australia | 36,789 t | 2013 | down 84.5% | volatile |
| 19 | Germany | 33,814 t | 2013 | down 27.4% | falling |
| 20 | Russian Federation | 33,551 t | 2013 | up 16.8% | volatile |
| 21 | Czechia | 32,302 t | 2013 | up 59.7% | rising |
| 22 | Indonesia | 31,079 t | 2013 | up 29.9% | rising |
| 23 | Spain | 24,568 t | 2013 | down 45.7% | falling |
| 24 | Afghanistan | 24,197 t | 2013 | up 48.6% | falling |
| 25 | Mongolia | 23,907 t | 2013 | up 50.8% | rising |
| 26 | Iraq | 23,088 t | 2013 | down 4.1% | rising |
| 27 | Egypt | 21,435 t | 2013 | up 166.7% | rising |
| 28 | Uzbekistan | 19,120 t | 2013 | up 83.2% | rising |
| 29 | France | 18,666 t | 2013 | down 67.0% | falling |
| 30 | Ethiopia PDR | 18,650 t | 1992 | up 0.1% | rising |
| 31 | Kyrgyzstan | 18,592 t | 2013 | up 15.2% | volatile |
| 32 | Belgium-Luxembourg | 18,223 t | 1999 | up 105.5% | volatile |
| 33 | Ireland | 17,973 t | 2013 | up 58.0% | falling |
| 34 | Romania | 16,791 t | 2013 | up 16.1% | falling |
| 35 | Saudi Arabia | 16,615 t | 2013 | up 151.4% | rising |
| 36 | Tunisia | 15,225 t | 2013 | down 1.6% | rising |
| 37 | Bolivia (Plurinational State of) | 13,116 t | 2013 | up 8.8% | rising |
| 38 | Bulgaria | 12,918 t | 2013 | up 128.8% | falling |
| 39 | Chile | 12,611 t | 2013 | down 32.9% | falling |
| 40 | Yemen | 12,501 t | 2013 | up 29.2% | rising |
| 41 | Brazil | 11,781 t | 2013 | down 26.4% | falling |
| 42 | Portugal | 11,473 t | 2013 | down 34.9% | falling |
| 43 | Ethiopia | 11,300 t | 2013 | down 3.8% | falling |
| 44 | Czechoslovakia | 10,524 t | 1992 | down 61.6% | flat |
| 45 | Tajikistan | 10,504 t | 2013 | up 92.1% | rising |
| 46 | Belgium | 10,238 t | 2013 | down 56.9% | falling |
| 47 | Azerbaijan | 10,114 t | 2013 | up 47.3% | rising |
| 48 | Peru | 9,245 t | 2013 | down 28.1% | falling |
| 49 | United Republic of Tanzania | 8,859 t | 2013 | up 54.3% | rising |
| 50 | Poland | 8,763 t | 2013 | up 117.5% | volatile |
| 51 | Republic of Korea | 8,138 t | 2013 | down 35.3% | volatile |
| 52 | Greece | 7,739 t | 2013 | down 39.2% | falling |
| 53 | Japan | 7,303 t | 2013 | down 55.1% | volatile |
| 54 | Mexico | 7,093 t | 2013 | down 9.6% | falling |
| 55 | Denmark | 6,527 t | 2013 | up 3.8% | rising |
| 56 | Lithuania | 6,453 t | 2013 | up 284.8% | volatile |
| 57 | Malaysia | 6,156 t | 2013 | up 275.8% | volatile |
| 58 | Yugoslav SFR | 5,835 t | 1991 | down 24.1% | falling |
| 59 | Colombia | 5,594 t | 2013 | up 14.6% | falling |
| 60 | Nepal | 4,752 t | 2013 | down 62.2% | volatile |
| 61 | Belarus | 4,622 t | 2013 | down 12.0% | volatile |
| 62 | Hungary | 4,463 t | 2013 | down 2.1% | volatile |
| 63 | Lesotho | 4,389 t | 2013 | up 39.1% | volatile |
| 64 | Albania | 4,341 t | 2013 | down 3.0% | rising |
| 65 | Bangladesh | 3,590 t | 2013 | up 43.5% | rising |
| 66 | Ukraine | 3,168 t | 2013 | up 67.8% | volatile |
| 67 | Lebanon | 3,026 t | 2013 | up 28.7% | volatile |
| 68 | Zimbabwe | 2,990 t | 2013 | up 57.5% | rising |
| 69 | Norway | 2,984 t | 2013 | down 35.6% | falling |
| 70 | Netherlands (Kingdom of the) | 2,976 t | 2013 | down 4.7% | volatile |
| 71 | Canada | 2,540 t | 2013 | up 15.2% | volatile |
| 72 | Namibia | 2,449 t | 2013 | down 25.8% | falling |
| 73 | China, Taiwan Province of | 2,378 t | 2013 | down 88.9% | volatile |
| 74 | Georgia | 2,354 t | 2013 | down 27.7% | falling |
| 75 | Armenia | 2,293 t | 2013 | up 19.9% | falling |
| 76 | Thailand | 2,256 t | 2013 | down 75.6% | volatile |
| 77 | Serbia | 1,921 t | 2013 | down 13.1% | falling |
| 78 | Austria | 1,849 t | 2013 | up 16.9% | falling |
| 79 | Republic of Moldova | 1,633 t | 2013 | up 13.2% | falling |
| 80 | Croatia | 1,497 t | 2013 | up 87.4% | rising |
| 81 | Serbia and Montenegro | 1,490 t | 2005 | down 36.0% | falling |
| 82 | Israel | 1,483 t | 2013 | up 5.2% | volatile |
| 83 | Bosnia and Herzegovina | 1,198 t | 2013 | up 51.1% | rising |
| 84 | Ecuador | 1,132 t | 2013 | down 13.2% | rising |
| 85 | Kenya | 1,112 t | 2013 | down 18.2% | rising |
| 86 | Myanmar | 1,082 t | 2013 | up 53.7% | rising |
| 87 | Paraguay | 1,000 t | 2013 | up 15.6% | rising |
| 88 | Switzerland | 949 t | 2013 | down 18.8% | volatile |
| 89 | Iceland | 757 t | 2013 | up 239.5% | volatile |
| 90 | Estonia | 711 t | 2013 | down 41.2% | volatile |
| 91 | Mauritius | 705 t | 2013 | up 4,935.7% | volatile |
| 92 | Latvia | 594 t | 2013 | down 35.5% | falling |
| 93 | North Macedonia | 456 t | 2013 | down 71.0% | volatile |
| 94 | Montenegro | 426 t | 2013 | down 9.9% | falling |
| 95 | Jordan | 387 t | 2013 | down 63.8% | rising |
| 96 | Slovakia | 379 t | 2013 | down 59.2% | volatile |
| 97 | Sweden | 369 t | 2013 | down 44.3% | volatile |
| 98 | United Arab Emirates | 288 t | 2013 | up 105.7% | volatile |
| 99 | Finland | 154 t | 2013 | down 73.9% | volatile |
| 100 | Slovenia | 141 t | 2013 | up 0.7% | flat |
| 101 | Cyprus | 124 t | 2013 | down 69.1% | volatile |
| 102 | China, Hong Kong SAR | 120 t | 2013 | down 94.7% | volatile |
| 103 | Kuwait | 61 t | 2013 | — | volatile |
| 104 | Burkina Faso | 38 t | 2013 | — | volatile |
| 105 | Malta | 35 t | 2013 | down 35.2% | rising |
| 106 | Viet Nam | 30 t | 2013 | down 23.1% | volatile |
| 107 | Panama | 23 t | 2013 | up 2,200.0% | volatile |
| 108 | Botswana | 16 t | 2013 | up 33.3% | volatile |
| 108 | Cameroon | 16 t | 2013 | — | volatile |
| 110 | Nigeria | 8 t | 2013 | down 20.0% | volatile |
| 111 | Luxembourg | 6 t | 2013 | down 95.0% | volatile |
| 112 | Sri Lanka | 5 t | 2013 | down 37.5% | volatile |
| 113 | Honduras | 2 t | 2013 | unchanged | volatile |
| 113 | Senegal | 2 t | 2013 | — | volatile |
| 113 | Eswatini | 2 t | 2013 | down 33.3% | volatile |
| 116 | Mauritania | 1 t | 2013 | — | volatile |
| 116 | Oman | 1 t | 2013 | — | volatile |
| 116 | Philippines | 1 t | 2013 | down 99.7% | volatile |
| 116 | Zambia | 1 t | 2013 | down 87.5% | volatile |
| 120 | Djibouti | 0 t | 2013 | — | volatile |
| 120 | Guinea | 0 t | 2013 | down 100.0% | volatile |
| 120 | Guatemala | 0 t | 2013 | — | volatile |
| 120 | Jamaica | 0 t | 2013 | down 100.0% | volatile |
| 120 | Mali | 0 t | 2013 | down 100.0% | volatile |
| 120 | Malawi | 0 t | 2013 | — | volatile |
| 120 | Nicaragua | 0 t | 2013 | — | volatile |
| 120 | Solomon Islands | 0 t | 2013 | — | volatile |
| 120 | El Salvador | 0 t | 2013 | down 100.0% | volatile |
| 120 | Togo | 0 t | 2013 | — | volatile |
| 120 | Trinidad and Tobago | 0 t | 2013 | — | volatile |
| 120 | Melanesia | 0 t | 2013 | — | volatile |
| 120 | Venezuela (Bolivarian Republic of) | 0 t | 2013 | — | volatile |
| 120 | Brunei Darussalam | 0 t | 2013 | down 100.0% | volatile |
| 120 | Democratic People's Republic of Korea | 0 t | 2013 | down 100.0% | volatile |
| 120 | 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 2.86 million t
- Asia 1.74 million t
- Eastern Asia 1.06 million t
- Low Income Food Deficit Countries 428,350 t
- Europe 426,057 t
- Net Food Importing Developing Countries 351,926 t
- Southern Asia 331,785 t
- Africa 290,023 t
- European Union (27) 260,383 t
- Land Locked Developing Countries 259,012 t
- Northern Africa 219,562 t
- Oceania 206,744 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.