Wool (Clean Eq.) — 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
Wool (Clean Eq.) — Import Quantity is currently reported for 130 countries. The highest value is 345,048 t in China, mainland; the lowest is 0 t in China, Macao SAR.
The median across all reporting countries is 105.5 t, and the mean is 6,793 t.
Over the past decade 24 countries rose and 74 fell. The largest increase was in Panama (up 2,200.0%), and the largest decrease in Albania (down 100.0%).
Wool (Clean Eq.) — Import Quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China, mainland | 345,048 t | 2013 | up 109.2% | volatile |
| 2 | India | 88,822 t | 2013 | up 5.0% | volatile |
| 3 | USSR | 79,500 t | 1991 | down 37.1% | rising |
| 4 | United Kingdom of Great Britain and Northern Ireland | 37,347 t | 2013 | down 29.5% | volatile |
| 5 | Germany | 36,695 t | 2013 | down 10.9% | falling |
| 6 | Italy | 35,246 t | 2013 | down 57.5% | falling |
| 7 | Czechia | 32,116 t | 2013 | up 48.7% | rising |
| 8 | Belgium-Luxembourg | 30,493 t | 1999 | down 55.9% | falling |
| 9 | Belgium | 21,798 t | 2013 | down 38.6% | falling |
| 10 | T�rkiye | 20,531 t | 2013 | down 27.4% | volatile |
| 11 | Uruguay | 17,584 t | 2013 | up 41.1% | volatile |
| 12 | Russian Federation | 9,506 t | 2013 | down 52.7% | volatile |
| 13 | Yugoslav SFR | 8,180 t | 1991 | down 69.6% | rising |
| 14 | Republic of Korea | 8,138 t | 2013 | down 35.7% | volatile |
| 15 | Poland | 8,137 t | 2013 | up 263.7% | volatile |
| 16 | Japan | 7,303 t | 2013 | down 55.2% | volatile |
| 17 | Czechoslovakia | 7,230 t | 1992 | down 64.3% | falling |
| 18 | Lithuania | 6,719 t | 2013 | up 215.2% | volatile |
| 19 | Belarus | 6,690 t | 2013 | up 31.6% | volatile |
| 20 | Denmark | 6,365 t | 2013 | up 0.9% | rising |
| 21 | Malaysia | 5,981 t | 2013 | up 292.5% | volatile |
| 22 | Egypt | 5,570 t | 2013 | up 907.2% | volatile |
| 23 | Portugal | 5,525 t | 2013 | down 17.2% | rising |
| 24 | Ireland | 4,166 t | 2013 | up 277.4% | falling |
| 25 | China, Taiwan Province of | 4,055 t | 2013 | down 82.6% | volatile |
| 26 | Nepal | 3,564 t | 2013 | down 69.2% | volatile |
| 27 | Netherlands (Kingdom of the) | 3,363 t | 2013 | up 296.6% | volatile |
| 28 | Spain | 3,194 t | 2013 | down 70.2% | falling |
| 29 | France | 2,781 t | 2013 | down 93.9% | volatile |
| 30 | Bulgaria | 2,496 t | 2013 | down 77.1% | volatile |
| 31 | Slovakia | 2,451 t | 2013 | up 107.9% | volatile |
| 32 | Australia and New Zealand | 2,334 t | 2013 | down 83.6% | rising |
| 33 | Hungary | 2,318 t | 2013 | down 68.3% | volatile |
| 34 | Thailand | 2,256 t | 2013 | down 75.6% | volatile |
| 35 | Iran (Islamic Republic of) | 2,189 t | 2013 | down 39.9% | volatile |
| 36 | Australia | 1,884 t | 2013 | down 85.9% | rising |
| 37 | Ukraine | 1,718 t | 2013 | up 243.6% | volatile |
| 38 | Pakistan | 1,404 t | 2013 | down 81.9% | volatile |
| 39 | Austria | 1,322 t | 2013 | up 46.2% | volatile |
| 40 | Republic of Moldova | 1,077 t | 2013 | down 12.9% | rising |
| 41 | Mexico | 833 t | 2013 | down 40.9% | volatile |
| 42 | Mauritius | 705 t | 2013 | down 0.3% | volatile |
| 43 | Canada | 665 t | 2013 | down 21.5% | volatile |
| 44 | United Arab Emirates | 585 t | 2013 | up 317.9% | volatile |
| 45 | China, Hong Kong SAR | 580 t | 2013 | down 57.3% | volatile |
| 46 | Switzerland | 533 t | 2013 | down 38.6% | volatile |
| 47 | Serbia | 529 t | 2013 | up 56.0% | volatile |
| 48 | Kuwait | 524 t | 2013 | — | volatile |
| 49 | Latvia | 503 t | 2013 | down 44.7% | volatile |
| 50 | New Zealand | 450 t | 2013 | down 48.9% | volatile |
| 51 | Estonia | 444 t | 2013 | down 61.6% | volatile |
| 52 | Kyrgyzstan | 425 t | 2013 | up 63.5% | volatile |
| 53 | Romania | 359 t | 2013 | up 398.6% | volatile |
| 54 | Indonesia | 330 t | 2013 | down 33.2% | volatile |
| 55 | Norway | 283 t | 2013 | down 61.4% | volatile |
| 56 | Morocco | 266 t | 2013 | down 46.0% | volatile |
| 57 | Greece | 230 t | 2013 | down 92.1% | volatile |
| 58 | North Macedonia | 203 t | 2013 | up 331.9% | volatile |
| 58 | Tunisia | 203 t | 2013 | down 57.3% | volatile |
| 60 | Serbia and Montenegro | 187 t | 2005 | — | volatile |
| 61 | Argentina | 179 t | 2013 | down 75.5% | volatile |
| 62 | Brazil | 155 t | 2013 | down 12.9% | volatile |
| 63 | Sweden | 135 t | 2013 | down 74.5% | volatile |
| 64 | Ecuador | 132 t | 2013 | down 17.0% | volatile |
| 65 | Iceland | 107 t | 2013 | up 48.6% | volatile |
| 66 | Kazakhstan | 104 t | 2013 | — | volatile |
| 67 | Burkina Faso | 38 t | 2013 | — | volatile |
| 68 | Viet Nam | 30 t | 2013 | down 23.1% | volatile |
| 69 | Slovenia | 26 t | 2013 | down 58.1% | volatile |
| 70 | Chile | 25 t | 2013 | up 150.0% | volatile |
| 71 | Panama | 23 t | 2013 | up 2,200.0% | volatile |
| 71 | Bolivia (Plurinational State of) | 23 t | 2013 | — | volatile |
| 73 | Armenia | 21 t | 2013 | down 16.0% | volatile |
| 73 | Peru | 21 t | 2013 | down 47.5% | volatile |
| 75 | Cameroon | 18 t | 2013 | — | volatile |
| 76 | Botswana | 16 t | 2013 | up 33.3% | volatile |
| 77 | Azerbaijan | 14 t | 2013 | — | volatile |
| 77 | Colombia | 14 t | 2013 | down 80.8% | volatile |
| 79 | United Republic of Tanzania | 9 t | 2013 | down 25.0% | volatile |
| 80 | Nigeria | 8 t | 2013 | down 20.0% | volatile |
| 81 | Sri Lanka | 5 t | 2013 | down 37.5% | volatile |
| 82 | Lesotho | 4 t | 2013 | — | volatile |
| 83 | Afghanistan | 2 t | 2013 | down 97.7% | volatile |
| 83 | Honduras | 2 t | 2013 | down 33.3% | volatile |
| 83 | Montenegro | 2 t | 2013 | down 90.5% | volatile |
| 83 | Namibia | 2 t | 2013 | — | volatile |
| 83 | Oman | 2 t | 2013 | — | volatile |
| 83 | Senegal | 2 t | 2013 | — | volatile |
| 83 | Eswatini | 2 t | 2013 | down 33.3% | volatile |
| 90 | Cyprus | 1 t | 2013 | — | volatile |
| 90 | Mauritania | 1 t | 2013 | — | volatile |
| 90 | Philippines | 1 t | 2013 | down 99.7% | volatile |
| 90 | Zambia | 1 t | 2013 | down 87.5% | volatile |
| 94 | Albania | 0 t | 2013 | down 100.0% | volatile |
| 94 | Bangladesh | 0 t | 2013 | down 100.0% | volatile |
| 94 | Bosnia and Herzegovina | 0 t | 2013 | down 100.0% | volatile |
| 94 | Djibouti | 0 t | 2013 | — | volatile |
| 94 | Algeria | 0 t | 2013 | down 100.0% | volatile |
| 94 | Ethiopia | 0 t | 2013 | — | volatile |
| 94 | Finland | 0 t | 2013 | down 100.0% | volatile |
| 94 | Georgia | 0 t | 2013 | down 100.0% | volatile |
| 94 | Guinea | 0 t | 2013 | down 100.0% | volatile |
| 94 | Guatemala | 0 t | 2013 | — | volatile |
| 94 | Croatia | 0 t | 2013 | down 100.0% | volatile |
| 94 | Iraq | 0 t | 2013 | — | volatile |
| 94 | Israel | 0 t | 2013 | — | volatile |
| 94 | Jamaica | 0 t | 2013 | down 100.0% | volatile |
| 94 | Jordan | 0 t | 2013 | — | volatile |
| 94 | Kenya | 0 t | 2013 | — | volatile |
| 94 | Lebanon | 0 t | 2013 | — | volatile |
| 94 | Mali | 0 t | 2013 | down 100.0% | volatile |
| 94 | Malta | 0 t | 2013 | down 100.0% | volatile |
| 94 | Mongolia | 0 t | 2013 | — | volatile |
| 94 | Malawi | 0 t | 2013 | — | volatile |
| 94 | Nicaragua | 0 t | 2013 | — | volatile |
| 94 | Paraguay | 0 t | 2013 | — | volatile |
| 94 | Saudi Arabia | 0 t | 2013 | down 100.0% | volatile |
| 94 | Solomon Islands | 0 t | 2013 | — | volatile |
| 94 | El Salvador | 0 t | 2013 | down 100.0% | volatile |
| 94 | Togo | 0 t | 2013 | — | volatile |
| 94 | Trinidad and Tobago | 0 t | 2013 | — | volatile |
| 94 | Uzbekistan | 0 t | 2013 | — | volatile |
| 94 | Zimbabwe | 0 t | 2013 | down 100.0% | volatile |
| 94 | Melanesia | 0 t | 2013 | — | volatile |
| 94 | Caribbean | 0 t | 2013 | down 100.0% | volatile |
| 94 | Venezuela (Bolivarian Republic of) | 0 t | 2013 | — | volatile |
| 94 | Brunei Darussalam | 0 t | 2013 | down 100.0% | volatile |
| 94 | Democratic People's Republic of Korea | 0 t | 2013 | down 100.0% | volatile |
| 94 | Ethiopia PDR | 0 t | 1992 | — | volatile |
| 94 | 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 761,748 t
- Asia 491,915 t
- Eastern Asia 365,124 t
- Europe 234,384 t
- European Union (27) 176,390 t
- Southern Asia 95,986 t
- Low Income Food Deficit Countries 94,297 t
- Eastern Europe 66,868 t
- Western Europe 66,492 t
- Northern Europe 56,069 t
- Southern Europe 44,955 t
- Americas 23,106 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.