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 104 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 4 t, and the mean is 7,208 t.
Over the past decade 24 countries rose and 39 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 |
| 4 | Viet Nam | 9,395 t | 2013 | down 37.5% | volatile |
| 5 | Thailand | 6,420 t | 2013 | up 6.8% | volatile |
| 6 | Turkmenistan | 4,480 t | 2013 | down 0.2% | rising |
| 7 | Iran (Islamic Republic of) | 4,413 t | 2013 | down 27.7% | rising |
| 8 | Romania | 4,172 t | 2013 | up 253.0% | volatile |
| 9 | Brazil | 3,241 t | 2013 | down 73.4% | volatile |
| 10 | USSR | 2,550 t | 1991 | down 4.5% | rising |
| 11 | Tajikistan | 1,762 t | 2013 | up 11.0% | rising |
| 12 | Italy | 1,166 t | 2013 | down 62.5% | falling |
| 13 | Japan | 1,159 t | 2013 | down 68.5% | volatile |
| 14 | Democratic People's Republic of Korea | 800 t | 2013 | up 1,566.7% | volatile |
| 15 | Afghanistan | 750 t | 2013 | up 29.5% | rising |
| 16 | Republic of Korea | 414 t | 2013 | down 75.0% | volatile |
| 17 | France | 280 t | 2013 | down 9.4% | falling |
| 18 | T�rkiye | 255 t | 2013 | down 34.1% | volatile |
| 19 | Yugoslav SFR | 225 t | 1991 | down 7.4% | volatile |
| 20 | Bangladesh | 218 t | 2013 | up 16.6% | volatile |
| 21 | Cambodia | 202 t | 2013 | down 38.0% | flat |
| 22 | Nigeria | 182 t | 2013 | — | volatile |
| 23 | Germany | 176 t | 2013 | down 63.3% | volatile |
| 24 | Kyrgyzstan | 150 t | 2013 | up 40.2% | volatile |
| 25 | Egypt | 123 t | 2013 | down 74.7% | volatile |
| 26 | Indonesia | 121 t | 2013 | up 6.1% | volatile |
| 27 | Myanmar | 99 t | 2013 | up 22.2% | volatile |
| 28 | Spain | 98 t | 2013 | down 66.9% | falling |
| 29 | Bulgaria | 86 t | 2013 | down 2.3% | volatile |
| 30 | United Arab Emirates | 70 t | 2013 | — | volatile |
| 31 | United Kingdom of Great Britain and Northern Ireland | 56 t | 2013 | down 3.4% | volatile |
| 32 | Tunisia | 54 t | 2013 | up 8.0% | volatile |
| 33 | Madagascar | 49 t | 2013 | up 22.5% | volatile |
| 33 | Nepal | 49 t | 2013 | down 80.7% | volatile |
| 35 | Lebanon | 40 t | 2013 | down 13.0% | volatile |
| 36 | Peru | 39 t | 2013 | up 129.4% | volatile |
| 37 | Switzerland | 31 t | 2013 | down 81.7% | volatile |
| 38 | Pakistan | 24 t | 2013 | down 53.8% | volatile |
| 39 | Austria | 21 t | 2013 | up 16.7% | volatile |
| 40 | Zambia | 17 t | 2013 | — | volatile |
| 41 | Czechia | 13 t | 2013 | — | volatile |
| 42 | Mexico | 12 t | 2013 | up 500.0% | volatile |
| 42 | Portugal | 12 t | 2013 | up 500.0% | volatile |
| 42 | China, Taiwan Province of | 12 t | 2013 | up 500.0% | volatile |
| 45 | Malaysia | 11 t | 2013 | up 120.0% | volatile |
| 46 | Canada | 8 t | 2013 | down 63.6% | volatile |
| 46 | Lithuania | 8 t | 2013 | — | volatile |
| 46 | Slovenia | 8 t | 2013 | up 166.7% | volatile |
| 49 | Bosnia and Herzegovina | 5 t | 2013 | up 400.0% | volatile |
| 49 | Ethiopia | 5 t | 2013 | — | volatile |
| 49 | New Zealand | 5 t | 2013 | up 66.7% | volatile |
| 49 | Australia and New Zealand | 5 t | 2013 | up 66.7% | volatile |
| 53 | Dominican Republic | 3 t | 2013 | — | volatile |
| 53 | Hungary | 3 t | 2013 | — | volatile |
| 53 | Poland | 3 t | 2013 | down 25.0% | volatile |
| 57 | Denmark | 2 t | 2013 | down 96.2% | volatile |
| 57 | Malta | 2 t | 2013 | down 96.6% | volatile |
| 57 | Saudi Arabia | 2 t | 2013 | — | volatile |
| 57 | Uruguay | 2 t | 2013 | down 98.7% | volatile |
| 61 | Azerbaijan | 1 t | 2013 | down 99.8% | volatile |
| 61 | Ireland | 1 t | 2013 | down 80.0% | volatile |
| 61 | Eswatini | 1 t | 2013 | down 93.3% | volatile |
| 61 | Venezuela (Bolivarian Republic of) | 1 t | 2013 | — | volatile |
| 61 | United Republic of Tanzania | 1 t | 2013 | unchanged | volatile |
| 66 | Albania | 0 t | 2013 | — | volatile |
| 66 | Argentina | 0 t | 2013 | — | volatile |
| 66 | Australia | 0 t | 2013 | — | volatile |
| 66 | Belgium | 0 t | 2013 | down 100.0% | volatile |
| 66 | Bahamas | 0 t | 2013 | — | volatile |
| 66 | Belize | 0 t | 2013 | down 100.0% | volatile |
| 66 | Botswana | 0 t | 2013 | — | volatile |
| 66 | Chile | 0 t | 2013 | — | volatile |
| 66 | Colombia | 0 t | 2013 | — | volatile |
| 66 | Cyprus | 0 t | 2013 | — | volatile |
| 66 | Djibouti | 0 t | 2013 | — | volatile |
| 66 | Ecuador | 0 t | 2013 | — | volatile |
| 66 | Estonia | 0 t | 2013 | down 100.0% | volatile |
| 66 | Finland | 0 t | 2013 | — | volatile |
| 66 | Greece | 0 t | 2013 | down 100.0% | volatile |
| 66 | Guatemala | 0 t | 2013 | down 100.0% | volatile |
| 66 | Guyana | 0 t | 2013 | — | volatile |
| 66 | Honduras | 0 t | 2013 | — | volatile |
| 66 | Croatia | 0 t | 2013 | — | volatile |
| 66 | Iraq | 0 t | 2013 | — | volatile |
| 66 | Israel | 0 t | 2013 | — | volatile |
| 66 | Kazakhstan | 0 t | 2013 | — | volatile |
| 66 | Sri Lanka | 0 t | 2013 | — | volatile |
| 66 | Morocco | 0 t | 2013 | — | volatile |
| 66 | North Macedonia | 0 t | 2013 | — | volatile |
| 66 | Mauritius | 0 t | 2013 | — | volatile |
| 66 | Malawi | 0 t | 2013 | — | volatile |
| 66 | Nicaragua | 0 t | 2013 | — | volatile |
| 66 | Norway | 0 t | 2013 | — | volatile |
| 66 | Philippines | 0 t | 2013 | down 100.0% | volatile |
| 66 | Paraguay | 0 t | 2013 | down 100.0% | volatile |
| 66 | El Salvador | 0 t | 2013 | down 100.0% | volatile |
| 66 | Sweden | 0 t | 2013 | — | volatile |
| 66 | Yemen | 0 t | 2013 | — | volatile |
| 66 | Bolivia (Plurinational State of) | 0 t | 2013 | — | volatile |
| 66 | China, Hong Kong SAR | 0 t | 2013 | down 100.0% | volatile |
| 66 | Russian Federation | 0 t | 2013 | — | volatile |
| 66 | Brunei Darussalam | 0 t | 2013 | down 100.0% | volatile |
| 66 | Netherlands (Kingdom of the) | 0 t | 2013 | — | volatile |
| 66 | 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
- Low Income Food Deficit Countries 209,592 t
- Southern Asia 183,733 t
- Land Locked Developing Countries 34,538 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
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.