Statizoid

Jute — 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
154
Highest
84,858 t
Pakistan
Lowest
0 t
Ethiopia PDR
Median
9 t
Years covered
53
1961–2013
Data points
9,080

What the numbers show

Jute — Import Quantity is currently reported for 154 countries. The highest value is 84,858 t in Pakistan; the lowest is 0 t in Ethiopia PDR.

The median across all reporting countries is 9 t, and the mean is 2,559 t.

Over the past decade 41 countries rose and 58 fell. The largest increase was in Viet Nam (up 109,900.0%), and the largest decrease in Albania (down 100.0%).

Jute — Import Quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 Pakistan 84,858 t 2013 down 4.9% volatile
2 India 83,491 t 2013 down 25.6% volatile
3 China, mainland 60,528 t 2013 up 79.4% volatile
4 Nepal 45,214 t 2013 up 31.7% volatile
5 USSR 25,000 t 1991 down 59.1% rising
6 Afghanistan 20,189 t 2013 up 12,210.4% volatile
7 C�te d'Ivoire 12,123 t 2013 down 20.0% volatile
8 Yugoslav SFR 9,398 t 1991 down 50.3% rising
9 Russian Federation 8,671 t 2013 up 281.6% volatile
10 Germany 5,056 t 2013 up 287.7% volatile
11 Thailand 4,134 t 2013 down 88.7% volatile
12 Republic of Korea 3,852 t 2013 down 10.5% volatile
13 Belgium-Luxembourg 3,502 t 1999 down 63.3% volatile
14 Saudi Arabia 3,379 t 2013 up 89.2% volatile
15 Ethiopia 2,963 t 2013 down 45.5% volatile
16 Indonesia 2,760 t 2013 up 26.4% volatile
17 France 2,242 t 2013 up 70.8% volatile
18 United Kingdom of Great Britain and Northern Ireland 1,697 t 2013 down 39.4% volatile
19 Brazil 1,596 t 2013 down 88.5% volatile
20 Tunisia 1,474 t 2013 up 26.3% volatile
21 Belgium 1,369 t 2013 down 65.0% volatile
22 Spain 1,356 t 2013 down 74.8% volatile
23 El Salvador 1,198 t 2013 up 22.7% volatile
24 Slovenia 1,107 t 2013 up 2,891.9% volatile
25 Viet Nam 1,100 t 2013 up 109,900.0% volatile
26 Kenya 677 t 2013 up 2,156.7% volatile
27 Australia and New Zealand 465 t 2013 down 78.7% volatile
28 Australia 464 t 2013 down 78.4% volatile
29 Dominican Republic 318 t 2013 — volatile
29 Caribbean 318 t 2013 up 549.0% volatile
31 Austria 274 t 2013 up 52.2% volatile
32 Algeria 255 t 2013 up 2,218.2% volatile
33 Nigeria 201 t 2013 — volatile
34 Greece 187 t 2013 up 171.0% volatile
35 Jordan 186 t 2013 up 1,140.0% volatile
36 Belarus 170 t 2013 — volatile
37 Zambia 156 t 2013 down 77.8% volatile
38 Portugal 155 t 2013 up 715.8% volatile
39 Japan 139 t 2013 down 88.2% volatile
40 Poland 136 t 2013 — volatile
41 Switzerland 117 t 2013 up 1,362.5% volatile
42 United Arab Emirates 112 t 2013 up 2,700.0% volatile
43 Malaysia 108 t 2013 down 88.1% volatile
44 Netherlands (Kingdom of the) 95 t 2013 down 75.6% volatile
45 Djibouti 88 t 2013 — volatile
46 Malawi 75 t 2013 up 837.5% volatile
47 Iceland 72 t 2013 up 7,100.0% volatile
48 Melanesia 71 t 2013 up 688.9% volatile
49 Mexico 70 t 2013 up 600.0% volatile
50 Sri Lanka 68 t 2013 up 17.2% volatile
51 Benin 66 t 2013 — volatile
52 Iraq 62 t 2013 — volatile
53 Canada 55 t 2013 down 20.3% volatile
54 Iran (Islamic Republic of) 52 t 2013 down 97.1% volatile
55 Kuwait 50 t 2013 — volatile
56 Guinea 42 t 2013 up 200.0% volatile
57 Romania 41 t 2013 up 36.7% volatile
58 Vanuatu 38 t 2013 — volatile
59 Congo 36 t 2013 — volatile
60 Sudan (former) 30 t 2011 up 2,900.0% volatile
61 Czechia 28 t 2013 up 27.3% volatile
61 Zimbabwe 28 t 2013 — volatile
63 Fiji 27 t 2013 up 200.0% volatile
64 Italy 26 t 2013 down 90.6% volatile
64 Lebanon 26 t 2013 down 83.8% volatile
64 China, Taiwan Province of 26 t 2013 down 98.8% volatile
67 Sweden 24 t 2013 up 700.0% volatile
68 Norway 21 t 2013 down 12.5% volatile
69 Bangladesh 20 t 2013 — volatile
70 Mozambique 18 t 2013 up 800.0% volatile
71 T�rkiye 17 t 2013 up 70.0% volatile
72 Oman 16 t 2013 down 83.0% volatile
73 Hungary 15 t 2013 — volatile
73 Slovakia 15 t 2013 up 1,400.0% volatile
75 Kazakhstan 14 t 2013 — volatile
76 Denmark 11 t 2013 down 67.6% volatile
77 Ghana 9 t 2013 up 200.0% volatile
77 Senegal 9 t 2013 up 350.0% volatile
79 Philippines 8 t 2013 down 91.1% volatile
79 Ukraine 8 t 2013 down 87.9% volatile
81 Ireland 7 t 2013 down 96.8% volatile
82 New Caledonia 6 t 2013 — volatile
83 Israel 5 t 2013 up 400.0% volatile
84 Angola 4 t 2013 up 33.3% volatile
84 Croatia 4 t 2013 up 100.0% volatile
86 Guatemala 3 t 2013 down 72.7% volatile
86 Lithuania 3 t 2013 — volatile
86 United Republic of Tanzania 3 t 2013 down 99.2% volatile
89 Gambia 2 t 2013 up 100.0% volatile
90 Bulgaria 1 t 2013 — volatile
90 Chile 1 t 2013 — volatile
90 Cameroon 1 t 2013 unchanged volatile
90 Ecuador 1 t 2013 — volatile
90 Honduras 1 t 2013 unchanged volatile
90 Maldives 1 t 2013 — volatile
90 Malta 1 t 2013 — volatile
90 Nicaragua 1 t 2013 — volatile
90 New Zealand 1 t 2013 down 97.1% volatile
90 Panama 1 t 2013 unchanged volatile
90 Togo 1 t 2013 — volatile
101 Albania 0 t 2013 down 100.0% volatile
101 Argentina 0 t 2013 — volatile
101 Armenia 0 t 2013 — volatile
101 Burkina Faso 0 t 2013 down 100.0% volatile
101 Bahamas 0 t 2013 — volatile
101 Barbados 0 t 2013 down 100.0% volatile
101 Botswana 0 t 2013 — volatile
101 Colombia 0 t 2013 down 100.0% volatile
101 Costa Rica 0 t 2013 — volatile
101 Cuba 0 t 2013 — volatile
101 Cyprus 0 t 2013 — volatile
101 Egypt 0 t 2013 down 100.0% volatile
101 Estonia 0 t 2013 — volatile
101 Finland 0 t 2013 down 100.0% volatile
101 Gabon 0 t 2013 — volatile
101 Grenada 0 t 2013 down 100.0% volatile
101 Haiti 0 t 2013 — volatile
101 Jamaica 0 t 2013 down 100.0% volatile
101 Kyrgyzstan 0 t 2013 down 100.0% volatile
101 Cambodia 0 t 2013 down 100.0% volatile
101 Kiribati 0 t 2013 — volatile
101 Liberia 0 t 2013 — volatile
101 Luxembourg 0 t 2013 down 100.0% volatile
101 Latvia 0 t 2013 — volatile
101 Morocco 0 t 2013 down 100.0% volatile
101 Madagascar 0 t 2013 down 100.0% volatile
101 North Macedonia 0 t 2013 — volatile
101 Mali 0 t 2013 — volatile
101 Myanmar 0 t 2013 — volatile
101 Mongolia 0 t 2013 — volatile
101 Mauritania 0 t 2013 — volatile
101 Mauritius 0 t 2013 down 100.0% volatile
101 Peru 0 t 2013 — volatile
101 Paraguay 0 t 2013 down 100.0% volatile
101 French Polynesia 0 t 2013 — volatile
101 Rwanda 0 t 2013 down 100.0% volatile
101 Solomon Islands 0 t 2013 — volatile
101 Sierra Leone 0 t 2013 — volatile
101 Eswatini 0 t 2013 down 100.0% volatile
101 Trinidad and Tobago 0 t 2013 down 100.0% volatile
101 Uganda 0 t 2013 down 100.0% volatile
101 Uruguay 0 t 2013 — volatile
101 Yemen 0 t 2013 — volatile
101 Micronesia 0 t 2013 — volatile
101 Serbia and Montenegro 0 t 2005 — volatile
101 Czechoslovakia 0 t 1992 down 100.0% volatile
101 Polynesia 0 t 2013 — volatile
101 Bolivia (Plurinational State of) 0 t 2013 down 100.0% volatile
101 China, Hong Kong SAR 0 t 2013 down 100.0% volatile
101 Republic of Moldova 0 t 2013 — volatile
101 Venezuela (Bolivarian Republic of) 0 t 2013 down 100.0% volatile
101 Brunei Darussalam 0 t 2013 — volatile
101 Democratic People's Republic of Korea 0 t 2013 down 100.0% volatile
101 Ethiopia PDR 0 t 1992 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.

About this data

Indicator
Jute — Import Quantity
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
186 places, 9,080 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.