Statizoid

Jute — 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...

Countries reporting
152
Highest
2.01 million t
India
Lowest
0 t
Democratic People's Republic of Korea
Median
8.5 t
Years covered
53
1961–2013
Data points
9,035

What the numbers show

Jute — Other uses (non-food) is currently reported for 152 countries. The highest value is 2.01 million t in India; the lowest is 0 t in Democratic People's Republic of Korea.

The median across all reporting countries is 8.5 t, and the mean is 23,196 t.

Over the past decade 40 countries rose and 61 fell. The largest increase was in Afghanistan (up 12,210.4%), and the largest decrease in Albania (down 100.0%).

Jute — Other uses: full country ranking

#Country LatestYear 10-year changeTrend
1 India 2.01 million t 2013 up 3.2% rising
2 Bangladesh 1.13 million t 2013 up 141.1% rising
3 China, mainland 96,024 t 2013 up 8.2% volatile
4 Pakistan 84,826 t 2013 down 4.6% volatile
5 Nepal 59,932 t 2013 up 16.8% volatile
6 USSR 25,000 t 1991 down 59.1% rising
7 Uzbekistan 21,000 t 2013 up 5.0% volatile
8 Afghanistan 20,189 t 2013 up 12,210.4% volatile
9 C�te d'Ivoire 12,123 t 2013 down 20.0% volatile
10 Yugoslav SFR 9,378 t 1991 down 50.4% rising
11 Russian Federation 8,537 t 2013 up 275.7% volatile
12 Thailand 6,131 t 2013 down 84.6% volatile
13 Germany 4,545 t 2013 up 454.9% volatile
14 Republic of Korea 3,852 t 2013 down 10.5% volatile
15 Saudi Arabia 3,379 t 2013 up 113.9% volatile
16 Sudan (former) 3,230 t 2011 down 3.6% volatile
17 Ethiopia 2,962 t 2013 down 45.5% volatile
18 Indonesia 2,755 t 2013 up 280.0% volatile
19 Egypt 2,459 t 2013 down 14.4% volatile
20 Zimbabwe 2,275 t 2013 up 57.5% volatile
21 Brazil 1,907 t 2013 down 87.6% volatile
22 United Kingdom of Great Britain and Northern Ireland 1,669 t 2013 down 39.4% volatile
23 Tunisia 1,474 t 2013 up 26.3% volatile
24 France 1,369 t 2013 up 10.0% volatile
25 El Salvador 1,245 t 2013 up 30.0% volatile
26 Myanmar 1,110 t 2013 down 97.0% volatile
27 Slovenia 1,107 t 2013 up 2,891.9% volatile
28 Australia 463 t 2013 down 78.5% volatile
28 Australia and New Zealand 463 t 2013 down 78.8% volatile
30 Dominican Republic 318 t 2013 — volatile
32 Cambodia 315 t 2013 down 48.3% volatile
33 Viet Nam 303 t 2013 down 97.4% volatile
34 Peru 280 t 2013 up 40.0% volatile
35 Austria 256 t 2013 up 47.1% volatile
36 Algeria 255 t 2013 up 2,218.2% volatile
37 Nigeria 201 t 2013 — volatile
38 Greece 187 t 2013 up 171.0% volatile
39 Jordan 186 t 2013 up 1,140.0% volatile
40 Belarus 164 t 2013 — volatile
41 Zambia 156 t 2013 down 77.8% volatile
42 Japan 139 t 2013 down 88.0% volatile
43 Poland 129 t 2013 — volatile
44 Switzerland 107 t 2013 up 2,040.0% volatile
45 Portugal 105 t 2013 up 483.3% volatile
46 Cameroon 101 t 2013 up 27.8% volatile
47 Ethiopia PDR 100 t 1992 down 97.9% volatile
48 United Arab Emirates 98 t 2013 up 988.9% volatile
49 Djibouti 88 t 2013 — volatile
50 Malawi 75 t 2013 up 1,150.0% volatile
51 Iceland 72 t 2013 up 7,100.0% volatile
52 Spain 70 t 2013 down 98.7% volatile
53 Sri Lanka 68 t 2013 — volatile
53 Mexico 68 t 2013 up 1,260.0% volatile
55 Benin 66 t 2013 — volatile
56 Iraq 62 t 2013 — volatile
57 Kuwait 50 t 2013 — volatile
58 Iran (Islamic Republic of) 46 t 2013 down 97.5% volatile
59 Canada 43 t 2013 up 72.0% volatile
60 Guinea 42 t 2013 up 200.0% volatile
61 Romania 41 t 2013 up 36.7% volatile
62 Congo 36 t 2013 — volatile
63 Melanesia 33 t 2013 up 266.7% volatile
64 Czechia 28 t 2013 up 33.3% volatile
65 Fiji 27 t 2013 up 200.0% volatile
66 Lebanon 26 t 2013 down 83.8% volatile
67 Ghana 23 t 2013 up 666.7% volatile
68 Sweden 18 t 2013 up 500.0% volatile
69 Malaysia 16 t 2013 down 98.2% volatile
69 Oman 16 t 2013 down 83.0% volatile
71 Hungary 15 t 2013 — volatile
71 Slovakia 15 t 2013 up 1,400.0% volatile
73 Kazakhstan 14 t 2013 — volatile
73 Norway 14 t 2013 down 30.0% volatile
75 China, Taiwan Province of 12 t 2013 down 99.4% volatile
76 Denmark 11 t 2013 down 67.6% volatile
77 Senegal 9 t 2013 up 350.0% volatile
78 Italy 8 t 2013 down 97.0% volatile
78 Netherlands (Kingdom of the) 8 t 2013 down 92.1% volatile
80 Ireland 7 t 2013 down 96.8% volatile
80 Ukraine 7 t 2013 down 89.4% volatile
82 New Caledonia 6 t 2013 — volatile
82 Philippines 6 t 2013 down 76.0% 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 70.0% volatile
86 Lithuania 3 t 2013 — volatile
88 Gambia 2 t 2013 up 100.0% volatile
88 T�rkiye 2 t 2013 down 50.0% volatile
90 Bulgaria 1 t 2013 — volatile
90 Chile 1 t 2013 — 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 Panama 1 t 2013 unchanged volatile
90 Togo 1 t 2013 — volatile
99 Albania 0 t 2013 down 100.0% volatile
99 Argentina 0 t 2013 — volatile
99 Armenia 0 t 2013 — volatile
99 Burkina Faso 0 t 2013 down 100.0% volatile
99 Bahamas 0 t 2013 — volatile
99 Barbados 0 t 2013 down 100.0% volatile
99 Botswana 0 t 2013 — volatile
99 Colombia 0 t 2013 down 100.0% volatile
99 Costa Rica 0 t 2013 — volatile
99 Cuba 0 t 2013 — volatile
99 Cyprus 0 t 2013 — volatile
99 Estonia 0 t 2013 — volatile
99 Finland 0 t 2013 down 100.0% volatile
99 Gabon 0 t 2013 — volatile
99 Grenada 0 t 2013 down 100.0% volatile
99 Haiti 0 t 2013 — volatile
99 Israel 0 t 2013 down 100.0% volatile
99 Jamaica 0 t 2013 down 100.0% volatile
99 Kenya 0 t 2013 down 100.0% volatile
99 Kyrgyzstan 0 t 2013 down 100.0% volatile
99 Kiribati 0 t 2013 — volatile
99 Liberia 0 t 2013 — volatile
99 Luxembourg 0 t 2013 down 100.0% volatile
99 Latvia 0 t 2013 — volatile
99 Morocco 0 t 2013 down 100.0% volatile
99 Madagascar 0 t 2013 down 100.0% volatile
99 North Macedonia 0 t 2013 — volatile
99 Mali 0 t 2013 — volatile
99 Mongolia 0 t 2013 — volatile
99 Mozambique 0 t 2013 down 100.0% volatile
99 Mauritania 0 t 2013 — volatile
99 Mauritius 0 t 2013 — volatile
99 New Zealand 0 t 2013 down 100.0% volatile
99 Paraguay 0 t 2013 down 100.0% volatile
99 French Polynesia 0 t 2013 — volatile
99 Rwanda 0 t 2013 down 100.0% volatile
99 Solomon Islands 0 t 2013 — volatile
99 Sierra Leone 0 t 2013 — volatile
99 Eswatini 0 t 2013 down 100.0% volatile
99 Trinidad and Tobago 0 t 2013 down 100.0% volatile
99 Uganda 0 t 2013 down 100.0% volatile
99 Uruguay 0 t 2013 — volatile
99 Yemen 0 t 2013 — volatile
99 Micronesia 0 t 2013 — volatile
99 Serbia and Montenegro 0 t 2005 — volatile
99 Czechoslovakia 0 t 1992 down 100.0% volatile
99 Polynesia 0 t 2013 — volatile
99 Bolivia (Plurinational State of) 0 t 2013 down 100.0% volatile
99 China, Hong Kong SAR 0 t 2013 down 100.0% volatile
99 Republic of Moldova 0 t 2013 — volatile
99 Venezuela (Bolivarian Republic of) 0 t 2013 down 100.0% volatile
99 Belgium-Luxembourg 0 t 1999 down 100.0% volatile
99 United Republic of Tanzania 0 t 2013 down 100.0% volatile
99 Brunei Darussalam 0 t 2013 — volatile
99 Democratic People's Republic of Korea 0 t 2013 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.

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Jute — Other uses by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 16 August 2026, from https://agriculture.statizoid.com/stat/jute-other-uses-non-food/

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About this data

Indicator
Jute — Other uses (non-food)
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
185 places, 9,035 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.