Statizoid

Silk — 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...

Countries reporting
105
Highest
3,767 t
India
Lowest
0 t
China, Macao SAR
Median
2 t
Years covered
53
1961–2013
Data points
6,564

What the numbers show

Silk — Import Quantity is currently reported for 105 countries. The highest value is 3,767 t in India; the lowest is 0 t in China, Macao SAR.

The median across all reporting countries is 2 t, and the mean is 138.35 t.

Over the past decade 17 countries rose and 42 fell. The largest increase was in Brazil (up 1,214.3%), and the largest decrease in Belize (down 100.0%).

Silk — Import Quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 India 3,767 t 2013 down 60.5% volatile
2 China, mainland 2,647 t 2013 down 41.4% volatile
3 Italy 1,602 t 2013 down 56.5% falling
4 Romania 1,382 t 2013 up 161.7% volatile
5 Japan 766 t 2013 down 73.1% volatile
6 Viet Nam 635 t 2013 up 31.2% volatile
7 Germany 605 t 2013 down 63.2% volatile
8 USSR 450 t 1991 down 55.2% volatile
9 Republic of Korea 438 t 2013 down 74.3% volatile
10 France 287 t 2013 down 8.0% falling
11 Thailand 234 t 2013 down 64.2% volatile
12 Bangladesh 223 t 2013 up 19.3% volatile
13 Iran (Islamic Republic of) 219 t 2013 up 397.7% volatile
14 Nigeria 182 t 2013 — volatile
15 United Kingdom of Great Britain and Northern Ireland 118 t 2013 down 24.8% volatile
16 Netherlands (Kingdom of the) 117 t 2013 up 1,200.0% volatile
17 Myanmar 99 t 2013 up 22.2% volatile
18 Brazil 92 t 2013 up 1,214.3% volatile
19 T�rkiye 88 t 2013 down 52.2% volatile
20 United Arab Emirates 70 t 2013 — volatile
21 Bulgaria 66 t 2013 up 34.7% volatile
22 Tunisia 54 t 2013 up 8.0% volatile
23 Azerbaijan 47 t 2013 down 88.2% volatile
24 Peru 39 t 2013 up 129.4% volatile
25 Switzerland 32 t 2013 down 84.7% volatile
26 Philippines 25 t 2013 up 400.0% volatile
27 Pakistan 24 t 2013 down 59.3% volatile
28 Austria 23 t 2013 up 9.5% volatile
29 Zambia 17 t 2013 — volatile
30 Belgium-Luxembourg 15 t 1999 down 78.6% volatile
31 Czechia 13 t 2013 — volatile
32 Mexico 12 t 2013 up 500.0% volatile
32 Portugal 12 t 2013 up 500.0% volatile
34 Malaysia 11 t 2013 down 31.2% volatile
34 Nepal 11 t 2013 down 95.0% volatile
34 China, Taiwan Province of 11 t 2013 down 21.4% volatile
37 Canada 9 t 2013 down 59.1% volatile
38 Lithuania 8 t 2013 — volatile
38 Slovenia 8 t 2013 up 166.7% volatile
40 Australia and New Zealand 6 t 2013 down 45.5% volatile
41 Belgium 5 t 2013 down 80.0% volatile
41 Egypt 5 t 2013 down 98.8% volatile
41 Ethiopia 5 t 2013 — volatile
41 Cambodia 5 t 2013 up 400.0% volatile
41 New Zealand 5 t 2013 up 66.7% volatile
46 Spain 4 t 2013 down 97.4% volatile
46 Poland 4 t 2013 unchanged volatile
48 Dominican Republic 3 t 2013 — volatile
48 Hungary 3 t 2013 — volatile
48 Oman 3 t 2013 — volatile
48 Caribbean 3 t 2013 — volatile
48 China, Hong Kong SAR 3 t 2013 down 96.6% 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 down 75.0% volatile
53 Uruguay 2 t 2013 down 98.7% volatile
57 Australia 1 t 2013 down 87.5% volatile
57 Bosnia and Herzegovina 1 t 2013 unchanged volatile
57 Indonesia 1 t 2013 down 98.2% volatile
57 Ireland 1 t 2013 down 83.3% volatile
57 Eswatini 1 t 2013 down 93.3% volatile
57 Venezuela (Bolivarian Republic of) 1 t 2013 — volatile
57 United Republic of Tanzania 1 t 2013 — volatile
64 Albania 0 t 2013 — volatile
64 Argentina 0 t 2013 — volatile
64 Bahamas 0 t 2013 — volatile
64 Belize 0 t 2013 down 100.0% volatile
64 Botswana 0 t 2013 down 100.0% volatile
64 Chile 0 t 2013 — volatile
64 Colombia 0 t 2013 — volatile
64 Cyprus 0 t 2013 — volatile
64 Ecuador 0 t 2013 — volatile
64 Estonia 0 t 2013 down 100.0% volatile
64 Finland 0 t 2013 — volatile
64 Greece 0 t 2013 down 100.0% volatile
64 Guatemala 0 t 2013 down 100.0% volatile
64 Guyana 0 t 2013 — volatile
64 Honduras 0 t 2013 — volatile
64 Croatia 0 t 2013 — volatile
64 Iraq 0 t 2013 — volatile
64 Israel 0 t 2013 — volatile
64 Kazakhstan 0 t 2013 — volatile
64 Kyrgyzstan 0 t 2013 — volatile
64 Lebanon 0 t 2013 — volatile
64 Sri Lanka 0 t 2013 — volatile
64 Luxembourg 0 t 2013 — volatile
64 Morocco 0 t 2013 — volatile
64 Madagascar 0 t 2013 — volatile
64 North Macedonia 0 t 2013 — volatile
64 Mauritius 0 t 2013 — volatile
64 Malawi 0 t 2013 — volatile
64 Namibia 0 t 2013 down 100.0% volatile
64 Nicaragua 0 t 2013 — volatile
64 Norway 0 t 2013 — volatile
64 Paraguay 0 t 2013 down 100.0% volatile
64 El Salvador 0 t 2013 down 100.0% volatile
64 Sweden 0 t 2013 — volatile
64 Yemen 0 t 2013 — volatile
64 Bolivia (Plurinational State of) 0 t 2013 — volatile
64 Russian Federation 0 t 2013 — volatile
64 Brunei Darussalam 0 t 2013 down 100.0% volatile
64 Democratic People's Republic of Korea 0 t 2013 — volatile
64 Ethiopia PDR 0 t 1992 — volatile
64 Yugoslav SFR 0 t 1991 down 100.0% volatile
64 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.

About this data

Indicator
Silk — Import Quantity
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
135 places, 6,564 data points, 1961–2013
Last refreshed

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.