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 18 countries rose and 24 fell. The largest increase was in Kenya (up 32,190.3%), and the largest decrease in Brazil (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
3 United Republic of Tanzania 13,896 t 2013 — volatile
4 Kenya 10,010 t 2013 up 32,190.3% volatile
5 Belgium-Luxembourg 8,551 t 1999 up 4.1% volatile
6 Belgium 6,516 t 2013 down 24.2% falling
7 Viet Nam 2,000 t 2013 up 184.9% volatile
8 Spain 1,286 t 2013 up 1,487.7% volatile
9 Mozambique 1,100 t 2013 — volatile
10 France 873 t 2013 up 1,183.8% volatile
11 Myanmar 790 t 2013 down 76.1% volatile
12 Nepal 782 t 2013 up 1,855.0% volatile
13 Germany 511 t 2013 up 5.4% volatile
14 Ghana 136 t 2013 — volatile
15 Russian Federation 134 t 2013 — volatile
16 Thailand 110 t 2013 up 144.4% volatile
17 Netherlands (Kingdom of the) 107 t 2013 down 43.4% volatile
18 Malaysia 92 t 2013 — volatile
19 Pakistan 52 t 2013 down 84.2% volatile
20 Portugal 50 t 2013 up 4,900.0% volatile
21 Egypt 41 t 2013 unchanged volatile
22 United Kingdom of Great Britain and Northern Ireland 28 t 2013 down 34.9% volatile
23 Yugoslav SFR 20 t 1991 up 300.0% volatile
24 Armenia 18 t 2013 — volatile
24 Austria 18 t 2013 up 200.0% volatile
24 Italy 18 t 2013 up 125.0% volatile
27 T�rkiye 15 t 2013 up 150.0% volatile
28 United Arab Emirates 14 t 2013 up 180.0% volatile
28 China, Taiwan Province of 14 t 2013 up 100.0% volatile
30 Canada 12 t 2013 down 14.3% volatile
30 Israel 12 t 2013 — volatile
32 Switzerland 10 t 2013 up 233.3% volatile
33 Norway 7 t 2013 up 75.0% volatile
33 Poland 7 t 2013 — volatile
35 Belarus 6 t 2013 — volatile
35 Sweden 6 t 2013 — volatile
35 Iran (Islamic Republic of) 6 t 2013 — volatile
38 Indonesia 5 t 2013 down 98.9% volatile
39 China, mainland 4 t 2013 down 99.6% volatile
40 Mexico 2 t 2013 down 60.0% volatile
40 Philippines 2 t 2013 down 96.9% volatile
40 Trinidad and Tobago 2 t 2013 — volatile
40 Caribbean 2 t 2013 — volatile
40 Australia and New Zealand 2 t 2013 — volatile
45 Australia 1 t 2013 — volatile
45 Estonia 1 t 2013 — volatile
45 Ethiopia 1 t 2013 — volatile
45 New Zealand 1 t 2013 — volatile
45 China, Hong Kong SAR 1 t 2013 down 83.3% volatile
45 Venezuela (Bolivarian Republic of) 1 t 2013 — volatile
51 Angola 0 t 2013 — volatile
51 Argentina 0 t 2013 — volatile
51 Bulgaria 0 t 2013 — volatile
51 Brazil 0 t 2013 down 100.0% volatile
51 Botswana 0 t 2013 — volatile
51 Colombia 0 t 2013 — volatile
51 Cyprus 0 t 2013 — volatile
51 Czechia 0 t 2013 down 100.0% volatile
51 Denmark 0 t 2013 — volatile
51 Finland 0 t 2013 — volatile
51 Gambia 0 t 2013 — volatile
51 Greece 0 t 2013 — volatile
51 Guatemala 0 t 2013 down 100.0% volatile
51 Croatia 0 t 2013 — volatile
51 Hungary 0 t 2013 — volatile
51 Ireland 0 t 2013 — volatile
51 Iraq 0 t 2013 — volatile
51 Jamaica 0 t 2013 — volatile
51 Jordan 0 t 2013 — volatile
51 Japan 0 t 2013 down 100.0% volatile
51 Kazakhstan 0 t 2013 — volatile
51 Kyrgyzstan 0 t 2013 down 100.0% volatile
51 Cambodia 0 t 2013 — volatile
51 Kuwait 0 t 2013 — volatile
51 Lebanon 0 t 2013 — volatile
51 Sri Lanka 0 t 2013 down 100.0% volatile
51 Lithuania 0 t 2013 — volatile
51 Latvia 0 t 2013 — volatile
51 Morocco 0 t 2013 — volatile
51 Madagascar 0 t 2013 — volatile
51 Malta 0 t 2013 — volatile
51 Mauritius 0 t 2013 down 100.0% volatile
51 Malawi 0 t 2013 down 100.0% volatile
51 Nigeria 0 t 2013 — volatile
51 Nicaragua 0 t 2013 — volatile
51 Panama 0 t 2013 — volatile
51 Peru 0 t 2013 — volatile
51 Romania 0 t 2013 — volatile
51 Saudi Arabia 0 t 2013 down 100.0% volatile
51 Senegal 0 t 2013 — volatile
51 El Salvador 0 t 2013 down 100.0% volatile
51 Slovenia 0 t 2013 — volatile
51 Eswatini 0 t 2013 — volatile
51 Togo 0 t 2013 — volatile
51 Tunisia 0 t 2013 — volatile
51 Uganda 0 t 2013 — volatile
51 Uruguay 0 t 2013 — volatile
51 Zambia 0 t 2013 — volatile
51 Zimbabwe 0 t 2013 down 100.0% volatile
51 USSR 0 t 1991 — volatile
51 Czechoslovakia 0 t 1992 — flat
51 Republic of Korea 0 t 2013 — volatile
51 Republic of Moldova 0 t 2013 down 100.0% volatile
51 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.

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.