Statizoid

Soft-Fibres, Other — 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
138
Highest
390,400 t
USSR
Lowest
-80,189 t
France
Median
10.5 t
Years covered
53
1961–2013
Data points
8,573

What the numbers show

Soft-Fibres, Other — Domestic supply quantity is currently reported for 138 countries. The highest value is 390,400 t in USSR; the lowest is -80,189 t in France.

The median across all reporting countries is 10.5 t, and the mean is 7,146 t.

The gap between the highest and lowest reporting country is a factor of about 5.

Over the past decade 28 countries rose and 62 fell. The largest increase was in Australia and New Zealand (up 11,950.0%), and the largest decrease in Canada (down 1,456.2%).

Soft-Fibres, Other — Domestic supply quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 USSR 390,400 t 1991 up 21.3% falling
2 China, mainland 318,874 t 2013 down 62.9% volatile
3 Indonesia 66,336 t 2013 down 26.8% rising
4 Russian Federation 47,868 t 2013 down 25.4% falling
5 Belgium 39,264 t 2013 down 5.5% volatile
6 Thailand 35,176 t 2013 down 22.0% rising
7 Netherlands (Kingdom of the) 26,084 t 2013 down 8.1% volatile
8 Belgium-Luxembourg 24,609 t 1999 down 63.0% volatile
9 Belarus, Republic of 21,627 t 2013 down 28.5% falling
10 United Kingdom of Great Britain and Northern Ireland 14,799 t 2013 down 62.5% volatile
11 Czechia 10,248 t 2013 down 51.5% volatile
12 Spain 10,057 t 2013 down 49.2% volatile
13 Chile 7,256 t 2013 up 6.8% rising
14 Japan 6,958 t 2013 down 52.0% falling
15 Germany 6,926 t 2013 down 30.7% volatile
16 India 6,436 t 2013 up 167.9% volatile
17 Poland 5,698 t 2013 down 5.1% volatile
18 Czechoslovakia 4,336 t 1992 down 83.6% falling
19 Egypt, Arab Republic of 4,275 t 2013 up 466.0% volatile
20 Romania 4,072 t 2013 down 8.8% volatile
21 Italy 3,496 t 2013 down 77.7% volatile
22 Argentina 2,762 t 2013 up 64.8% falling
23 Lithuania 2,668 t 2013 down 70.1% volatile
24 Tunisia 2,196 t 2013 up 55.6% volatile
25 Austria 2,166 t 2013 down 68.0% falling
26 Yugoslav SFR 2,158 t 1991 down 68.6% volatile
27 T�rkiye 2,156 t 2013 up 15.9% volatile
28 Hungary 1,752 t 2013 up 28.3% volatile
29 Philippines 1,562 t 2013 up 8.9% volatile
30 Ukraine 1,538 t 2013 down 65.8% volatile
31 Brazil 1,420 t 2013 down 26.8% volatile
32 Latvia 931 t 2013 down 39.9% volatile
33 Slovenia 754 t 2013 up 58.4% volatile
34 Switzerland 512 t 2013 up 21.0% volatile
35 China, Taiwan Province of 360 t 2013 down 84.8% volatile
36 South Africa 308 t 2013 down 65.0% volatile
37 Australia and New Zealand 241 t 2013 up 11,950.0% volatile
38 Australia 226 t 2013 up 11,200.0% volatile
39 United Arab Emirates 193 t 2013 — volatile
40 Denmark 185 t 2013 up 46.8% volatile
41 Portugal 169 t 2013 up 28.0% volatile
42 Greece 152 t 2013 down 45.1% volatile
43 Ethiopia PDR 150 t 1992 — volatile
44 Saudi Arabia 122 t 2013 down 79.0% volatile
45 Bulgaria 113 t 2013 down 77.5% volatile
46 Serbia and Montenegro 90 t 2005 down 85.4% falling
47 Malaysia 87 t 2013 down 91.2% volatile
48 Morocco 78 t 2013 up 25.8% volatile
49 C�te d'Ivoire 67 t 2013 up 1,240.0% volatile
50 Israel 61 t 2013 up 165.2% volatile
50 Kazakhstan, Republic of 61 t 2013 — volatile
52 Congo, Republic of 38 t 2013 — volatile
53 Pakistan 37 t 2013 down 2.6% volatile
54 Nigeria 28 t 2013 — volatile
55 Botswana 24 t 2013 down 33.3% volatile
55 Ethiopia, The Federal Democratic Republic of 24 t 2013 up 100.0% volatile
57 Estonia 23 t 2013 down 99.1% volatile
57 Lebanon 23 t 2013 up 27.8% volatile
59 Sweden 22 t 2013 down 62.7% volatile
59 Republic of Korea 22 t 2013 down 96.9% volatile
61 Finland 18 t 2013 down 96.3% volatile
61 Serbia, Republic of 18 t 2013 down 81.4% volatile
61 Slovak Republic 18 t 2013 down 98.6% volatile
64 New Zealand 15 t 2013 — volatile
65 Oman 14 t 2013 unchanged volatile
66 Ireland 13 t 2013 down 31.6% volatile
67 Jamaica 12 t 2013 — volatile
68 Algeria 11 t 2013 down 47.6% volatile
68 Gabon 11 t 2013 — volatile
70 Norway 10 t 2013 down 9.1% volatile
71 Iceland 9 t 2013 up 50.0% volatile
71 Sri Lanka 9 t 2013 up 50.0% volatile
73 Bosnia and Herzegovina 8 t 2013 down 27.3% volatile
74 Peru 7 t 2013 down 30.0% volatile
74 Zambia 7 t 2013 — volatile
76 New Caledonia 6 t 2013 — volatile
77 Cameroon 4 t 2013 up 100.0% volatile
78 Albania 3 t 2013 up 200.0% volatile
78 Mexico 3 t 2013 down 95.2% volatile
78 North Macedonia, Republic of 3 t 2013 unchanged volatile
81 Georgia 2 t 2013 — volatile
81 Kuwait 2 t 2013 — volatile
81 Luxembourg 2 t 2013 up 140.0% volatile
81 Niger 2 t 2013 — volatile
81 Rwanda 2 t 2013 — volatile
81 Senegal 2 t 2013 down 60.0% volatile
81 Uruguay 2 t 2013 down 84.6% volatile
88 Angola 1 t 2013 — volatile
88 Guatemala 1 t 2013 — volatile
88 Honduras 1 t 2013 unchanged volatile
88 Iraq 1 t 2013 — volatile
88 Madagascar, Republic of 1 t 2013 — volatile
88 Mongolia 1 t 2013 down 88.9% volatile
88 Mozambique, Republic of 1 t 2013 — volatile
88 Eswatini, Kingdom of 1 t 2013 down 83.3% volatile
96 Azerbaijan, Republic of 0 t 2013 — volatile
96 Benin 0 t 2013 — volatile
96 Barbados 0 t 2013 down 100.0% volatile
96 Colombia 0 t 2013 down 100.0% volatile
96 Costa Rica 0 t 2013 — volatile
96 Cyprus 0 t 2013 down 100.0% volatile
96 Djibouti 0 t 2013 — volatile
96 Dominican Republic 0 t 2013 — volatile
96 Ecuador 0 t 2013 — volatile
96 Fiji, Republic of 0 t 2013 — volatile
96 Ghana 0 t 2013 down 100.0% volatile
96 Gambia, The 0 t 2013 down 100.0% volatile
96 Grenada 0 t 2013 — volatile
96 Guyana 0 t 2013 — volatile
96 Croatia 0 t 2013 down 100.0% volatile
96 Haiti 0 t 2013 — volatile
96 Kenya 0 t 2013 up 100.0% volatile
96 Cambodia 0 t 2013 — volatile
96 Malta 0 t 2013 down 100.0% volatile
96 Myanmar 0 t 2013 — volatile
96 Mauritania, Islamic Republic of 0 t 2013 — volatile
96 Namibia 0 t 2013 down 100.0% volatile
96 Nicaragua 0 t 2013 — volatile
96 Panama 0 t 2013 — volatile
96 Paraguay 0 t 2013 — volatile
96 French Polynesia 0 t 2013 — volatile
96 El Salvador 0 t 2013 down 100.0% volatile
96 Suriname 0 t 2013 — volatile
96 Togo 0 t 2013 — volatile
96 Turkmenistan 0 t 2013 — volatile
96 Trinidad and Tobago 0 t 2013 — volatile
96 Uganda 0 t 2013 up 100.0% volatile
96 Yemen, Republic of 0 t 2013 down 100.0% volatile
96 Zimbabwe 0 t 2013 — volatile
96 China, Hong Kong SAR 0 t 2013 up 100.0% volatile
96 China, Macao SAR 0 t 2013 — volatile
132 Nepal -9 t 2013 down 109.0% volatile
133 Kyrgyz Republic -19 t 2013 — volatile
134 Bangladesh -69 t 2013 — volatile
135 Jordan -130 t 2013 down 461.1% volatile
136 Mauritius -457 t 2013 — volatile
137 Canada -13,535 t 2013 down 1,456.2% volatile
138 France -80,189 t 2013 down 20.3% 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 — Domestic supply quantity by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 18 August 2026, from https://agriculture.statizoid.com/stat/soft-fibres-other-domestic-supply-quantity/

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About this data

Indicator
Soft-Fibres, Other — Domestic supply quantity
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
179 places, 8,573 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.