Silk — Domestic supply 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
Silk — Domestic supply quantity is currently reported for 116 countries. The highest value is 500,480 t in China, mainland; the lowest is -62 t in Pakistan.
The median across all reporting countries is 2 t, and the mean is 6,938 t.
The gap between the highest and lowest reporting country is a factor of about 8,072.
Over the past decade 30 countries rose and 39 fell. The largest increase was in Netherlands (Kingdom of the) (up 928.6%), and the largest decrease in Pakistan (down 244.2%).
Silk — Domestic supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China, mainland | 500,480 t | 2013 | up 40.2% | volatile |
| 2 | India | 176,536 t | 2013 | up 56.1% | volatile |
| 3 | USSR | 60,550 t | 1991 | up 12.8% | rising |
| 4 | Uzbekistan | 26,626 t | 2013 | up 53.6% | rising |
| 5 | Viet Nam | 9,384 t | 2013 | down 32.9% | volatile |
| 6 | Thailand | 6,420 t | 2013 | up 6.8% | volatile |
| 7 | Turkmenistan | 4,568 t | 2013 | down 2.2% | rising |
| 8 | Iran (Islamic Republic of) | 4,373 t | 2013 | down 27.2% | rising |
| 9 | Romania | 4,172 t | 2013 | up 253.0% | volatile |
| 10 | Brazil | 3,160 t | 2013 | down 73.2% | volatile |
| 11 | Democratic People's Republic of Korea | 1,300 t | 2013 | down 4.6% | volatile |
| 12 | Italy | 1,166 t | 2013 | down 62.5% | falling |
| 13 | Japan | 1,159 t | 2013 | down 68.5% | volatile |
| 14 | Tajikistan | 981 t | 2013 | up 15.7% | rising |
| 15 | Afghanistan | 750 t | 2013 | up 29.5% | rising |
| 16 | Republic of Korea | 441 t | 2013 | down 74.1% | volatile |
| 17 | France | 284 t | 2013 | down 10.7% | 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 74.4% | volatile |
| 25 | Indonesia | 121 t | 2013 | down 4.7% | volatile |
| 26 | Netherlands (Kingdom of the) | 116 t | 2013 | up 928.6% | 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 5.5% | volatile |
| 30 | Egypt | 83 t | 2013 | down 82.9% | volatile |
| 31 | United Arab Emirates | 70 t | 2013 | — | 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 | Azerbaijan | 47 t | 2013 | down 90.3% | volatile |
| 36 | Lebanon | 40 t | 2013 | down 13.0% | volatile |
| 37 | Peru | 39 t | 2013 | up 129.4% | volatile |
| 38 | Switzerland | 31 t | 2013 | down 81.7% | volatile |
| 39 | Philippines | 25 t | 2013 | up 400.0% | volatile |
| 40 | Austria | 21 t | 2013 | up 31.2% | volatile |
| 41 | Zambia | 17 t | 2013 | — | volatile |
| 42 | Belgium-Luxembourg | 14 t | 1999 | down 54.8% | volatile |
| 42 | United Kingdom of Great Britain and Northern Ireland | 14 t | 2013 | down 75.9% | volatile |
| 44 | Czechia | 13 t | 2013 | — | volatile |
| 45 | Mexico | 12 t | 2013 | up 500.0% | volatile |
| 45 | Portugal | 12 t | 2013 | up 500.0% | volatile |
| 47 | Malaysia | 11 t | 2013 | up 175.0% | volatile |
| 48 | Canada | 8 t | 2013 | down 63.6% | volatile |
| 48 | Lithuania | 8 t | 2013 | — | volatile |
| 48 | Slovenia | 8 t | 2013 | up 166.7% | volatile |
| 51 | Ethiopia | 5 t | 2013 | — | volatile |
| 51 | New Zealand | 5 t | 2013 | up 66.7% | volatile |
| 53 | Poland | 4 t | 2013 | unchanged | volatile |
| 54 | Dominican Republic | 3 t | 2013 | — | volatile |
| 54 | Hungary | 3 t | 2013 | — | volatile |
| 54 | Oman | 3 t | 2013 | — | volatile |
| 54 | Caribbean | 3 t | 2013 | — | volatile |
| 58 | Malta | 2 t | 2013 | down 96.6% | volatile |
| 58 | Saudi Arabia | 2 t | 2013 | up 100.4% | volatile |
| 58 | Uruguay | 2 t | 2013 | down 98.7% | volatile |
| 61 | Bosnia and Herzegovina | 1 t | 2013 | unchanged | volatile |
| 61 | Ireland | 1 t | 2013 | down 83.3% | volatile |
| 61 | Eswatini | 1 t | 2013 | down 93.3% | volatile |
| 61 | China, Hong Kong SAR | 1 t | 2013 | down 97.8% | volatile |
| 61 | Venezuela (Bolivarian Republic of) | 1 t | 2013 | — | volatile |
| 61 | Australia and New Zealand | 1 t | 2013 | up 100.4% | volatile |
| 61 | United Republic of Tanzania | 1 t | 2013 | unchanged | volatile |
| 68 | Albania | 0 t | 2013 | — | volatile |
| 68 | Argentina | 0 t | 2013 | — | volatile |
| 68 | Bahamas | 0 t | 2013 | — | volatile |
| 68 | Belize | 0 t | 2013 | down 100.0% | volatile |
| 68 | Botswana | 0 t | 2013 | up 100.0% | volatile |
| 68 | Chile | 0 t | 2013 | — | volatile |
| 68 | Colombia | 0 t | 2013 | — | volatile |
| 68 | Cyprus | 0 t | 2013 | — | volatile |
| 68 | Djibouti | 0 t | 2013 | — | volatile |
| 68 | Denmark | 0 t | 2013 | down 100.0% | volatile |
| 68 | Ecuador | 0 t | 2013 | — | volatile |
| 68 | Estonia | 0 t | 2013 | down 100.0% | volatile |
| 68 | Finland | 0 t | 2013 | — | volatile |
| 68 | Georgia | 0 t | 2013 | — | volatile |
| 68 | Greece | 0 t | 2013 | down 100.0% | volatile |
| 68 | Guatemala | 0 t | 2013 | down 100.0% | volatile |
| 68 | Guyana | 0 t | 2013 | — | volatile |
| 68 | Honduras | 0 t | 2013 | up 100.0% | volatile |
| 68 | Croatia | 0 t | 2013 | — | volatile |
| 68 | Iraq | 0 t | 2013 | — | volatile |
| 68 | Jordan | 0 t | 2013 | — | volatile |
| 68 | Kazakhstan | 0 t | 2013 | — | volatile |
| 68 | Kenya | 0 t | 2013 | up 100.0% | volatile |
| 68 | Sri Lanka | 0 t | 2013 | — | volatile |
| 68 | Luxembourg | 0 t | 2013 | — | volatile |
| 68 | Latvia | 0 t | 2013 | — | volatile |
| 68 | Morocco | 0 t | 2013 | — | volatile |
| 68 | North Macedonia | 0 t | 2013 | — | volatile |
| 68 | Mauritius | 0 t | 2013 | — | volatile |
| 68 | Malawi | 0 t | 2013 | — | volatile |
| 68 | Namibia | 0 t | 2013 | down 100.0% | volatile |
| 68 | Nicaragua | 0 t | 2013 | — | volatile |
| 68 | Norway | 0 t | 2013 | — | volatile |
| 68 | Paraguay | 0 t | 2013 | up 100.0% | volatile |
| 68 | El Salvador | 0 t | 2013 | down 100.0% | volatile |
| 68 | Slovakia | 0 t | 2013 | — | volatile |
| 68 | Sweden | 0 t | 2013 | — | volatile |
| 68 | Ukraine | 0 t | 2013 | — | volatile |
| 68 | Yemen | 0 t | 2013 | — | volatile |
| 68 | Bolivia (Plurinational State of) | 0 t | 2013 | — | volatile |
| 68 | Russian Federation | 0 t | 2013 | — | volatile |
| 68 | Brunei Darussalam | 0 t | 2013 | down 100.0% | volatile |
| 68 | Ethiopia PDR | 0 t | 1992 | — | volatile |
| 68 | China, Macao SAR | 0 t | 2013 | — | volatile |
| 112 | Israel | -1 t | 2013 | — | volatile |
| 113 | Australia | -4 t | 2013 | up 98.4% | volatile |
| 114 | Belgium | -14 t | 2013 | down 182.4% | volatile |
| 115 | China, Taiwan Province of | -38 t | 2013 | up 86.9% | volatile |
| 116 | Pakistan | -62 t | 2013 | down 244.2% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 742,844 t
- Asia 734,210 t
- Eastern Asia 503,343 t
- Low Income Food Deficit Countries 206,785 t
- Southern Asia 181,864 t
- Land Locked Developing Countries 33,194 t
- Central Asia 32,325 t
- South-eastern Asia 16,262 t
- Europe 6,202 t
- European Union (27) 6,156 t
- Eastern Europe 4,278 t
- South America 3,202 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.