Statizoid

Jute — Export 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
104
Highest
260,000 t
Bangladesh
Lowest
0 t
C�te d'Ivoire
Median
0 t
Years covered
53
1961–2013
Data points
6,601

What the numbers show

Jute — Export Quantity is currently reported for 104 countries. The highest value is 260,000 t in Bangladesh; the lowest is 0 t in C�te d'Ivoire.

The median across all reporting countries is 0 t, and the mean is 3,115 t.

Over the past decade 19 countries rose and 24 fell. The largest increase was in Kenya (up 32,190.3%), and the largest decrease in Republic of Moldova (down 100.0%).

Jute — Export Quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 Bangladesh 260,000 t 2013 down 20.0% falling
2 India 16,711 t 2013 up 74.5% volatile
2 United Republic of Tanzania 13,896 t 2013 — volatile
3 Kenya 10,010 t 2013 up 32,190.3% volatile
3 Viet Nam 2,000 t 2013 up 184.9% volatile
4 Belgium-Luxembourg 8,551 t 1999 up 4.1% volatile
5 Belgium 6,516 t 2013 down 24.2% falling
5 Iran (Islamic Republic of) 6 t 2013 — volatile
6 Spain 1,286 t 2013 up 1,487.7% volatile
6 Venezuela (Bolivarian Republic of) 1 t 2013 — volatile
7 Mozambique 1,100 t 2013 — volatile
7 Republic of Moldova 0 t 2013 down 100.0% volatile
8 France 873 t 2013 up 1,183.8% volatile
9 Myanmar 790 t 2013 down 76.1% volatile
10 Nepal 782 t 2013 up 1,855.0% volatile
11 Germany 511 t 2013 up 5.4% volatile
12 Ghana 136 t 2013 — volatile
13 Russian Federation 134 t 2013 — volatile
14 Thailand 110 t 2013 up 144.4% volatile
15 Netherlands (Kingdom of the) 107 t 2013 down 43.4% volatile
16 Malaysia 92 t 2013 — volatile
17 Pakistan 52 t 2013 down 84.2% volatile
18 Portugal 50 t 2013 up 4,900.0% volatile
19 Egypt 41 t 2013 unchanged volatile
20 United Kingdom of Great Britain and Northern Ireland 28 t 2013 down 34.9% volatile
21 Yugoslav SFR 20 t 1991 up 300.0% volatile
22 Armenia 18 t 2013 — volatile
22 Austria 18 t 2013 up 200.0% volatile
22 Italy 18 t 2013 up 125.0% volatile
23 Caribbean 2 t 2013 — volatile
25 T�rkiye 15 t 2013 up 150.0% volatile
26 United Arab Emirates 14 t 2013 up 180.0% volatile
26 China, Taiwan Province of 14 t 2013 up 100.0% volatile
28 Canada 12 t 2013 down 14.3% volatile
28 Israel 12 t 2013 — volatile
30 Switzerland 10 t 2013 up 233.3% volatile
31 Norway 7 t 2013 up 75.0% volatile
31 Poland 7 t 2013 — volatile
33 Belarus 6 t 2013 — volatile
33 Sweden 6 t 2013 — volatile
33 South Africa 6 t 2013 up 50.0% volatile
36 Indonesia 5 t 2013 down 98.9% volatile
37 China, mainland 4 t 2013 down 99.6% volatile
38 Mexico 2 t 2013 down 60.0% volatile
38 Philippines 2 t 2013 down 96.9% volatile
38 Trinidad and Tobago 2 t 2013 — volatile
38 Australia and New Zealand 2 t 2013 — volatile
42 Australia 1 t 2013 — volatile
42 Estonia 1 t 2013 — volatile
42 Ethiopia 1 t 2013 — volatile
42 New Zealand 1 t 2013 — volatile
42 China, Hong Kong SAR 1 t 2013 down 83.3% volatile
47 Angola 0 t 2013 — volatile
47 Argentina 0 t 2013 — volatile
47 Bulgaria 0 t 2013 — volatile
47 Brazil 0 t 2013 down 100.0% volatile
47 Botswana 0 t 2013 — volatile
47 Colombia 0 t 2013 — volatile
47 Cyprus 0 t 2013 — volatile
47 Czechia 0 t 2013 down 100.0% volatile
47 Denmark 0 t 2013 — volatile
47 Finland 0 t 2013 — volatile
47 Gambia 0 t 2013 — volatile
47 Greece 0 t 2013 — volatile
47 Guatemala 0 t 2013 down 100.0% volatile
47 Croatia 0 t 2013 — volatile
47 Hungary 0 t 2013 — volatile
47 Ireland 0 t 2013 — volatile
47 Iraq 0 t 2013 — volatile
47 Jamaica 0 t 2013 — volatile
47 Jordan 0 t 2013 — volatile
47 Japan 0 t 2013 down 100.0% volatile
47 Kazakhstan 0 t 2013 — volatile
47 Kyrgyzstan 0 t 2013 down 100.0% volatile
47 Cambodia 0 t 2013 — volatile
47 Kuwait 0 t 2013 — volatile
47 Lebanon 0 t 2013 — volatile
47 Sri Lanka 0 t 2013 down 100.0% volatile
47 Lithuania 0 t 2013 — volatile
47 Latvia 0 t 2013 — volatile
47 Morocco 0 t 2013 — volatile
47 Madagascar 0 t 2013 — volatile
47 Malta 0 t 2013 — volatile
47 Mauritius 0 t 2013 down 100.0% volatile
47 Malawi 0 t 2013 down 100.0% volatile
47 Nigeria 0 t 2013 — volatile
47 Nicaragua 0 t 2013 — volatile
47 Panama 0 t 2013 — volatile
47 Peru 0 t 2013 — volatile
47 Romania 0 t 2013 — volatile
47 Saudi Arabia 0 t 2013 down 100.0% volatile
47 Senegal 0 t 2013 — volatile
47 El Salvador 0 t 2013 down 100.0% volatile
47 Slovenia 0 t 2013 — volatile
47 Eswatini 0 t 2013 — volatile
47 Togo 0 t 2013 — volatile
47 Tunisia 0 t 2013 — volatile
47 Uganda 0 t 2013 — volatile
47 Uruguay 0 t 2013 — volatile
47 Zambia 0 t 2013 — volatile
47 Zimbabwe 0 t 2013 down 100.0% volatile
47 USSR 0 t 1991 — volatile
47 Republic of Korea 0 t 2013 — volatile
47 C�te d'Ivoire 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.

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Jute — Export Quantity by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 05 October 2026, from https://agriculture.statizoid.com/stat/jute-export-quantity/

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About this data

Indicator
Jute — Export Quantity
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
135 places, 6,601 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.