Statizoid

Soft-Fibres, Other — 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
97
Highest
217,353 t
France
Lowest
0 t
China, Macao SAR
Median
8 t
Years covered
53
1961–2013
Data points
5,938

What the numbers show

Soft-Fibres, Other — Export Quantity is currently reported for 97 countries. The highest value is 217,353 t in France; the lowest is 0 t in China, Macao SAR.

The median across all reporting countries is 8 t, and the mean is 5,724 t.

Over the past decade 17 countries rose and 37 fell. The largest increase was in Canada (up 10,194.9%), and the largest decrease in Estonia (down 100.0%).

Soft-Fibres, Other — Export Quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 France 217,353 t 2013 up 10.9% rising
2 Belgium 142,790 t 2013 up 6.6% falling
2 United Republic of Tanzania 145 t 2013 — volatile
3 Belgium-Luxembourg 111,816 t 1999 up 50.9% falling
4 Belarus 23,532 t 2013 up 59.7% volatile
4 Iran (Islamic Republic of) 15 t 2013 — volatile
5 Canada 14,001 t 2013 up 10,194.9% volatile
5 Republic of Moldova 0 t 2013 — volatile
5 Venezuela (Bolivarian Republic of) 0 t 2013 — volatile
6 Netherlands (Kingdom of the) 9,034 t 2013 down 35.2% volatile
7 Lithuania 7,176 t 2013 down 60.5% volatile
8 China, mainland 6,782 t 2013 up 30.5% volatile
9 Czechoslovakia 6,300 t 1992 up 152.0% volatile
10 Egypt 5,027 t 2013 down 69.7% rising
11 USSR 3,000 t 1991 down 55.3% falling
12 United Kingdom of Great Britain and Northern Ireland 1,514 t 2013 down 31.0% falling
13 Poland 1,146 t 2013 down 67.8% volatile
14 Ukraine 756 t 2013 down 89.8% volatile
15 India 602 t 2013 up 256.2% volatile
16 Germany 565 t 2013 down 47.2% volatile
17 Italy 502 t 2013 down 91.3% volatile
18 Mauritius 457 t 2013 — volatile
19 Yugoslav SFR 400 t 1991 down 66.4% volatile
20 Russian Federation 391 t 2013 down 81.9% volatile
21 China, Taiwan Province of 245 t 2013 up 40.8% volatile
22 Latvia 207 t 2013 down 80.8% volatile
23 Tunisia 181 t 2013 up 57.4% volatile
24 Jordan 154 t 2013 — volatile
25 Hungary 135 t 2013 down 88.5% volatile
26 Czechia 119 t 2013 down 90.1% volatile
26 Denmark 119 t 2013 up 41.7% volatile
26 Caribbean 0 t 2013 — volatile
28 Spain 108 t 2013 up 248.4% volatile
29 Brazil 73 t 2013 down 24.7% volatile
30 Bangladesh 69 t 2013 — volatile
31 Switzerland 66 t 2013 up 46.7% volatile
32 T�rkiye 61 t 2013 down 87.7% volatile
33 Republic of Korea 40 t 2013 — volatile
34 Romania 37 t 2013 down 96.7% volatile
35 Australia 32 t 2013 — volatile
35 Australia and New Zealand 32 t 2013 — volatile
37 Pakistan 31 t 2013 — volatile
38 Philippines 28 t 2013 down 79.6% volatile
39 Kyrgyzstan 19 t 2013 — volatile
40 Nepal 18 t 2013 down 94.0% volatile
41 Austria 16 t 2013 down 96.5% volatile
42 Portugal 15 t 2013 up 114.3% volatile
43 Japan 14 t 2013 down 50.0% volatile
43 South Africa 14 t 2013 — volatile
45 Slovakia 13 t 2013 down 98.3% volatile
46 Slovenia 10 t 2013 up 900.0% volatile
47 Sweden 8 t 2013 up 700.0% volatile
48 Croatia 7 t 2013 — volatile
49 Norway 5 t 2013 up 400.0% volatile
50 Ethiopia 4 t 2013 — volatile
50 Serbia 4 t 2013 — volatile
52 United Arab Emirates 2 t 2013 — volatile
52 Bulgaria 2 t 2013 down 97.8% volatile
52 Greece 2 t 2013 — volatile
55 Peru 1 t 2013 — volatile
55 Thailand 1 t 2013 down 87.5% volatile
57 Argentina 0 t 2013 — volatile
57 Botswana 0 t 2013 — volatile
57 Chile 0 t 2013 — volatile
57 Colombia 0 t 2013 — volatile
57 Cyprus 0 t 2013 — volatile
57 Ecuador 0 t 2013 — volatile
57 Estonia 0 t 2013 down 100.0% volatile
57 Finland 0 t 2013 down 100.0% volatile
57 Georgia 0 t 2013 — volatile
57 Honduras 0 t 2013 — volatile
57 Indonesia 0 t 2013 down 100.0% volatile
57 Ireland 0 t 2013 down 100.0% volatile
57 Israel 0 t 2013 down 100.0% volatile
57 Jamaica 0 t 2013 — volatile
57 Kazakhstan 0 t 2013 — volatile
57 Kenya 0 t 2013 down 100.0% volatile
57 Cambodia 0 t 2013 — volatile
57 Lebanon 0 t 2013 — volatile
57 Sri Lanka 0 t 2013 down 100.0% volatile
57 Luxembourg 0 t 2013 down 100.0% volatile
57 Madagascar 0 t 2013 — volatile
57 Mexico 0 t 2013 down 100.0% volatile
57 Malta 0 t 2013 — volatile
57 Myanmar 0 t 2013 — volatile
57 Malaysia 0 t 2013 down 100.0% volatile
57 Namibia 0 t 2013 — volatile
57 Nigeria 0 t 2013 — volatile
57 New Zealand 0 t 2013 — volatile
57 Saudi Arabia 0 t 2013 down 100.0% volatile
57 El Salvador 0 t 2013 — volatile
57 Togo 0 t 2013 — volatile
57 Uganda 0 t 2013 down 100.0% volatile
57 Zambia 0 t 2013 — volatile
57 Serbia and Montenegro 0 t 2005 — volatile
57 China, Hong Kong SAR 0 t 2013 down 100.0% volatile
57 China, Macao SAR 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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Soft-Fibres, Other — 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/soft-fibres-other-export-quantity/

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About this data

Indicator
Soft-Fibres, Other — Export Quantity
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
126 places, 5,938 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.