Silk — 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
Silk — Other uses (non-food) is currently reported for 106 countries. The highest value is 500,480 t in China, mainland; the lowest is 0 t in China, Macao SAR.
The median across all reporting countries is 3 t, and the mean is 7,072 t.
Over the past decade 24 countries rose and 40 fell. The largest increase was in Democratic People's Republic of Korea (up 1,566.7%), and the largest decrease in Belgium (down 100.0%).
Silk — Other uses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China, mainland | 500,480 t | 2013 | up 40.2% | volatile |
| 2 | India | 178,279 t | 2013 | up 57.6% | volatile |
| 3 | Uzbekistan | 27,323 t | 2013 | up 56.7% | rising |
| 3 | Viet Nam | 9,395 t | 2013 | down 37.5% | volatile |
| 4 | Thailand | 6,420 t | 2013 | up 6.8% | volatile |
| 4 | Iran (Islamic Republic of) | 4,413 t | 2013 | down 27.7% | rising |
| 5 | Turkmenistan | 4,480 t | 2013 | down 0.2% | rising |
| 5 | Democratic People's Republic of Korea | 800 t | 2013 | up 1,566.7% | volatile |
| 6 | Romania | 4,172 t | 2013 | up 253.0% | volatile |
| 6 | Venezuela (Bolivarian Republic of) | 1 t | 2013 | — | volatile |
| 6 | United Republic of Tanzania | 1 t | 2013 | unchanged | volatile |
| 7 | Brazil | 3,241 t | 2013 | down 73.4% | volatile |
| 8 | USSR | 2,550 t | 1991 | down 4.5% | rising |
| 8 | Bolivia (Plurinational State of) | 0 t | 2013 | — | volatile |
| 9 | Tajikistan | 1,762 t | 2013 | up 11.0% | rising |
| 10 | Italy | 1,166 t | 2013 | down 62.5% | falling |
| 11 | Japan | 1,159 t | 2013 | down 68.5% | volatile |
| 12 | Afghanistan | 750 t | 2013 | up 29.5% | rising |
| 13 | Republic of Korea | 414 t | 2013 | down 75.0% | volatile |
| 14 | France | 280 t | 2013 | down 9.4% | falling |
| 15 | T�rkiye | 255 t | 2013 | down 34.1% | volatile |
| 16 | Yugoslav SFR | 225 t | 1991 | down 7.4% | volatile |
| 17 | Bangladesh | 218 t | 2013 | up 16.6% | volatile |
| 18 | Cambodia | 202 t | 2013 | down 38.0% | flat |
| 19 | Nigeria | 182 t | 2013 | — | volatile |
| 20 | Germany | 176 t | 2013 | down 63.3% | volatile |
| 21 | Kyrgyzstan | 150 t | 2013 | up 40.2% | volatile |
| 22 | Egypt | 123 t | 2013 | down 74.7% | volatile |
| 23 | Indonesia | 121 t | 2013 | up 6.1% | volatile |
| 24 | Myanmar | 99 t | 2013 | up 22.2% | volatile |
| 25 | Spain | 98 t | 2013 | down 66.9% | falling |
| 25 | Caribbean | 3 t | 2013 | — | volatile |
| 26 | Bulgaria | 86 t | 2013 | down 2.3% | volatile |
| 27 | United Arab Emirates | 70 t | 2013 | — | volatile |
| 28 | United Kingdom of Great Britain and Northern Ireland | 56 t | 2013 | down 3.4% | volatile |
| 29 | Tunisia | 54 t | 2013 | up 8.0% | volatile |
| 30 | Madagascar | 49 t | 2013 | up 22.5% | volatile |
| 30 | Nepal | 49 t | 2013 | down 80.7% | volatile |
| 32 | Lebanon | 40 t | 2013 | down 13.0% | volatile |
| 33 | Peru | 39 t | 2013 | up 129.4% | volatile |
| 34 | Switzerland | 31 t | 2013 | down 81.7% | volatile |
| 35 | Pakistan | 24 t | 2013 | down 53.8% | volatile |
| 36 | Austria | 21 t | 2013 | up 16.7% | volatile |
| 37 | Zambia | 17 t | 2013 | — | volatile |
| 38 | Czechia | 13 t | 2013 | — | volatile |
| 39 | Mexico | 12 t | 2013 | up 500.0% | volatile |
| 39 | Portugal | 12 t | 2013 | up 500.0% | volatile |
| 39 | China, Taiwan Province of | 12 t | 2013 | up 500.0% | volatile |
| 42 | Malaysia | 11 t | 2013 | up 120.0% | volatile |
| 43 | Canada | 8 t | 2013 | down 63.6% | volatile |
| 43 | Lithuania | 8 t | 2013 | — | volatile |
| 43 | Slovenia | 8 t | 2013 | up 166.7% | volatile |
| 46 | Bosnia and Herzegovina | 5 t | 2013 | up 400.0% | volatile |
| 46 | Ethiopia | 5 t | 2013 | — | volatile |
| 46 | New Zealand | 5 t | 2013 | up 66.7% | volatile |
| 46 | Australia and New Zealand | 5 t | 2013 | up 66.7% | volatile |
| 50 | Dominican Republic | 3 t | 2013 | — | volatile |
| 50 | Hungary | 3 t | 2013 | — | volatile |
| 50 | Poland | 3 t | 2013 | down 25.0% | volatile |
| 53 | Denmark | 2 t | 2013 | down 96.2% | volatile |
| 53 | Malta | 2 t | 2013 | down 96.6% | volatile |
| 53 | Saudi Arabia | 2 t | 2013 | — | volatile |
| 53 | Uruguay | 2 t | 2013 | down 98.7% | volatile |
| 57 | Azerbaijan | 1 t | 2013 | down 99.8% | volatile |
| 57 | Ireland | 1 t | 2013 | down 80.0% | volatile |
| 57 | Eswatini | 1 t | 2013 | down 93.3% | volatile |
| 60 | Albania | 0 t | 2013 | — | volatile |
| 60 | Argentina | 0 t | 2013 | — | volatile |
| 60 | Australia | 0 t | 2013 | — | volatile |
| 60 | Belgium | 0 t | 2013 | down 100.0% | volatile |
| 60 | Bahamas | 0 t | 2013 | — | volatile |
| 60 | Belize | 0 t | 2013 | down 100.0% | volatile |
| 60 | Botswana | 0 t | 2013 | — | volatile |
| 60 | Chile | 0 t | 2013 | — | volatile |
| 60 | Colombia | 0 t | 2013 | — | volatile |
| 60 | Cyprus | 0 t | 2013 | — | volatile |
| 60 | Djibouti | 0 t | 2013 | — | volatile |
| 60 | Ecuador | 0 t | 2013 | — | volatile |
| 60 | Estonia | 0 t | 2013 | down 100.0% | volatile |
| 60 | Finland | 0 t | 2013 | — | volatile |
| 60 | Greece | 0 t | 2013 | down 100.0% | volatile |
| 60 | Guatemala | 0 t | 2013 | down 100.0% | volatile |
| 60 | Guyana | 0 t | 2013 | — | volatile |
| 60 | Honduras | 0 t | 2013 | — | volatile |
| 60 | Croatia | 0 t | 2013 | — | volatile |
| 60 | Iraq | 0 t | 2013 | — | volatile |
| 60 | Israel | 0 t | 2013 | — | volatile |
| 60 | Kazakhstan | 0 t | 2013 | — | volatile |
| 60 | Sri Lanka | 0 t | 2013 | — | volatile |
| 60 | Morocco | 0 t | 2013 | — | volatile |
| 60 | North Macedonia | 0 t | 2013 | — | volatile |
| 60 | Mauritius | 0 t | 2013 | — | volatile |
| 60 | Malawi | 0 t | 2013 | — | volatile |
| 60 | Nicaragua | 0 t | 2013 | — | volatile |
| 60 | Norway | 0 t | 2013 | — | volatile |
| 60 | Philippines | 0 t | 2013 | down 100.0% | volatile |
| 60 | Paraguay | 0 t | 2013 | down 100.0% | volatile |
| 60 | El Salvador | 0 t | 2013 | down 100.0% | volatile |
| 60 | Sweden | 0 t | 2013 | — | volatile |
| 60 | Yemen | 0 t | 2013 | — | volatile |
| 60 | South Africa | 0 t | 2013 | down 100.0% | volatile |
| 60 | China, Hong Kong SAR | 0 t | 2013 | down 100.0% | volatile |
| 60 | Russian Federation | 0 t | 2013 | — | volatile |
| 60 | Brunei Darussalam | 0 t | 2013 | down 100.0% | volatile |
| 60 | Netherlands (Kingdom of the) | 0 t | 2013 | — | volatile |
| 60 | China, Macao SAR | 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 746,815 t
- Asia 736,929 t
- Eastern Asia 502,865 t
- Land Locked Developing Countries 34,538 t
- Low Income Food Deficit Countries 209,592 t
- Southern Asia 183,733 t
- Central Asia 33,715 t
- South-Eastern Asia 16,248 t
- Europe 6,143 t
- European Union (27) 6,051 t
- Eastern Europe 4,277 t
- Americas 3,306 t
- South America 3,283 t
- Net Food Importing Developing Countries 1,635 t
- Least developed countries 1,390 t
- Southern Europe 1,291 t
- Western Europe 508 t
- Africa 432 t
- Western Asia 368 t
- Western Africa 182 t
- Northern Africa 177 t
- Eastern Africa 72 t
- Northern Europe 67 t
- Central America 12 t
- Northern America 8 t
- Oceania 5 t
- Small Island Developing States 3 t
- Southern Africa 1 t
- United States of America 0 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.