Statizoid

Jute — Domestic supply 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
155
Highest
2.01 million t
India
Lowest
-13,893 t
United Republic of Tanzania
Median
9 t
Years covered
53
1961–2013
Data points
9,102

What the numbers show

Jute — Domestic supply quantity is currently reported for 155 countries. The highest value is 2.01 million t in India; the lowest is -13,893 t in United Republic of Tanzania.

The median across all reporting countries is 9 t, and the mean is 22,530 t.

The gap between the highest and lowest reporting country is a factor of about 145.

Over the past decade 44 countries rose and 62 fell. The largest increase was in Afghanistan (up 12,210.4%), and the largest decrease in Mozambique (down 54,200.0%).

Jute — Domestic supply quantity: 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 6,324 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 Zimbabwe 2,528 t 2013 up 57.5% rising
20 Egypt 2,459 t 2013 down 14.4% 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
31 Caribbean 316 t 2013 up 544.9% 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 Melanesia 71 t 2013 up 688.9% volatile
53 Spain 70 t 2013 down 98.7% volatile
54 Sri Lanka 68 t 2013 up 6,900.0% volatile
54 Mexico 68 t 2013 up 1,260.0% volatile
56 Benin 66 t 2013 — volatile
57 Iraq 62 t 2013 — volatile
58 Kuwait 50 t 2013 — volatile
59 Iran (Islamic Republic of) 46 t 2013 down 97.5% volatile
60 Canada 43 t 2013 up 72.0% volatile
61 Guinea 42 t 2013 up 200.0% volatile
62 Romania 41 t 2013 up 36.7% volatile
63 Vanuatu 38 t 2013 — volatile
64 Congo 36 t 2013 — volatile
65 Czechia 28 t 2013 up 33.3% volatile
66 Fiji 27 t 2013 up 200.0% volatile
67 Lebanon 26 t 2013 down 83.8% volatile
68 Ghana 23 t 2013 up 666.7% volatile
69 Sweden 18 t 2013 up 500.0% volatile
70 Malaysia 16 t 2013 down 98.2% volatile
70 Oman 16 t 2013 down 83.0% volatile
72 Hungary 15 t 2013 — volatile
72 Slovakia 15 t 2013 up 1,400.0% volatile
74 Kazakhstan 14 t 2013 — volatile
74 Norway 14 t 2013 down 30.0% volatile
76 China, Taiwan Province of 12 t 2013 down 99.4% volatile
77 Denmark 11 t 2013 down 67.6% volatile
78 Senegal 9 t 2013 up 350.0% volatile
79 Italy 8 t 2013 down 97.0% volatile
79 Ukraine 8 t 2013 down 87.9% volatile
79 Netherlands (Kingdom of the) 8 t 2013 down 92.1% volatile
82 Ireland 7 t 2013 down 96.8% volatile
83 New Caledonia 6 t 2013 — volatile
83 Philippines 6 t 2013 down 76.0% volatile
85 Angola 4 t 2013 up 33.3% volatile
85 Croatia 4 t 2013 up 100.0% volatile
87 Guatemala 3 t 2013 down 70.0% volatile
87 Lithuania 3 t 2013 — volatile
89 Gambia 2 t 2013 up 100.0% volatile
89 T�rkiye 2 t 2013 down 50.0% volatile
91 Bulgaria 1 t 2013 — volatile
91 Chile 1 t 2013 — volatile
91 Ecuador 1 t 2013 — volatile
91 Honduras 1 t 2013 unchanged volatile
91 Maldives 1 t 2013 — volatile
91 Malta 1 t 2013 — volatile
91 Nicaragua 1 t 2013 — volatile
91 Panama 1 t 2013 unchanged volatile
91 Togo 1 t 2013 — volatile
100 Albania 0 t 2013 down 100.0% volatile
100 Argentina 0 t 2013 — volatile
100 Burkina Faso 0 t 2013 down 100.0% volatile
100 Bahamas 0 t 2013 — volatile
100 Barbados 0 t 2013 down 100.0% volatile
100 Botswana 0 t 2013 — volatile
100 Colombia 0 t 2013 down 100.0% volatile
100 Costa Rica 0 t 2013 — volatile
100 Cuba 0 t 2013 — volatile
100 Cyprus 0 t 2013 — volatile
100 Finland 0 t 2013 down 100.0% volatile
100 Gabon 0 t 2013 — volatile
100 Grenada 0 t 2013 down 100.0% volatile
100 Haiti 0 t 2013 — volatile
100 Jamaica 0 t 2013 down 100.0% volatile
100 Kyrgyzstan 0 t 2013 down 100.0% volatile
100 Kiribati 0 t 2013 — volatile
100 Liberia 0 t 2013 — volatile
100 Luxembourg 0 t 2013 down 100.0% volatile
100 Latvia 0 t 2013 — volatile
100 Morocco 0 t 2013 down 100.0% volatile
100 Madagascar 0 t 2013 down 100.0% volatile
100 North Macedonia 0 t 2013 — volatile
100 Mali 0 t 2013 — volatile
100 Mongolia 0 t 2013 — volatile
100 Mauritania 0 t 2013 — volatile
100 Mauritius 0 t 2013 up 100.0% volatile
100 New Zealand 0 t 2013 down 100.0% volatile
100 Paraguay 0 t 2013 down 100.0% volatile
100 French Polynesia 0 t 2013 — volatile
100 Rwanda 0 t 2013 down 100.0% volatile
100 Solomon Islands 0 t 2013 — volatile
100 Sierra Leone 0 t 2013 — volatile
100 Eswatini 0 t 2013 down 100.0% volatile
100 Uganda 0 t 2013 down 100.0% volatile
100 Uruguay 0 t 2013 — volatile
100 Yemen 0 t 2013 — volatile
100 Micronesia 0 t 2013 — volatile
100 Serbia and Montenegro 0 t 2005 — volatile
100 Czechoslovakia 0 t 1992 down 100.0% volatile
100 Polynesia 0 t 2013 — volatile
100 Bolivia (Plurinational State of) 0 t 2013 down 100.0% volatile
100 Republic of Moldova 0 t 2013 up 100.0% volatile
100 Brunei Darussalam 0 t 2013 — volatile
100 Democratic People's Republic of Korea 0 t 2013 down 100.0% volatile
145 Estonia -1 t 2013 — volatile
145 China, Hong Kong SAR -1 t 2013 down 105.6% volatile
145 Venezuela (Bolivarian Republic of) -1 t 2013 down 114.3% volatile
148 Trinidad and Tobago -2 t 2013 down 200.0% volatile
149 Israel -7 t 2013 down 800.0% volatile
150 Armenia -18 t 2013 — volatile
151 Mozambique -1,082 t 2013 down 54,200.0% volatile
152 Belgium-Luxembourg -5,049 t 1999 down 1,672.9% volatile
153 Belgium -5,147 t 2013 down 10.0% falling
154 Kenya -9,333 t 2013 down 32,282.8% volatile
155 United Republic of Tanzania -13,893 t 2013 down 3,708.6% 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 — Domestic supply quantity
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
187 places, 9,102 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.