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...
What the numbers show
Soft-Fibres, Other — Domestic supply quantity is currently reported for 149 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 9 t, and the mean is 6,728 t.
The gap between the highest and lowest reporting country is a factor of about 5.
Over the past decade 33 countries rose and 63 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 | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | USSR | 390,400 t | 1991 | up 21.3% | falling |
| 2 | China, mainland | 318,874 t | 2013 | down 62.9% | volatile |
| 2 | Democratic People's Republic of Korea | 14,000 t | 2013 | up 9.4% | volatile |
| 3 | Indonesia | 66,336 t | 2013 | down 26.8% | rising |
| 4 | Russian Federation | 47,868 t | 2013 | down 25.4% | falling |
| 4 | Lao People's Democratic Republic | 2,400 t | 2013 | up 129.9% | volatile |
| 5 | Belgium | 39,264 t | 2013 | down 5.5% | volatile |
| 6 | Thailand | 35,176 t | 2013 | down 22.0% | rising |
| 6 | Iran (Islamic Republic of) | 40 t | 2013 | — | volatile |
| 7 | Netherlands (Kingdom of the) | 26,084 t | 2013 | down 8.1% | volatile |
| 7 | Republic of Moldova | 7 t | 2013 | up 600.0% | volatile |
| 8 | Belgium-Luxembourg | 24,609 t | 1999 | down 63.0% | volatile |
| 8 | Melanesia | 6 t | 2013 | — | volatile |
| 9 | Belarus | 21,627 t | 2013 | down 28.5% | falling |
| 9 | Venezuela (Bolivarian Republic of) | 4 t | 2013 | — | volatile |
| 10 | United Kingdom of Great Britain and Northern Ireland | 14,799 t | 2013 | down 62.5% | volatile |
| 10 | Bolivia (Plurinational State of) | 3 t | 2013 | up 200.0% | volatile |
| 11 | Czechia | 10,248 t | 2013 | down 51.5% | volatile |
| 11 | Polynesia | 0 t | 2013 | — | volatile |
| 11 | Viet Nam | 0 t | 2013 | down 100.0% | volatile |
| 12 | Spain | 10,057 t | 2013 | down 49.2% | volatile |
| 13 | Chile | 7,256 t | 2013 | up 6.8% | rising |
| 13 | United Republic of Tanzania | -144 t | 2013 | — | volatile |
| 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 | 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 |
| 24 | Caribbean | 12 t | 2013 | up 300.0% | 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 | 61 t | 2013 | — | volatile |
| 52 | Congo | 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 | 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 | 18 t | 2013 | down 81.4% | volatile |
| 61 | Slovakia | 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 | 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 | 1 t | 2013 | — | volatile |
| 88 | Mongolia | 1 t | 2013 | down 88.9% | volatile |
| 88 | Mozambique | 1 t | 2013 | — | volatile |
| 88 | Eswatini | 1 t | 2013 | down 83.3% | volatile |
| 96 | Azerbaijan | 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 | 0 t | 2013 | — | volatile |
| 96 | Ghana | 0 t | 2013 | down 100.0% | volatile |
| 96 | Gambia | 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 | 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 | 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 | Kyrgyzstan | -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.
- World 596,041 t
- Asia 454,706 t
- Eastern Asia 340,215 t
- Europe 121,044 t
- Land Locked Developing Countries 2,507 t
- South-Eastern Asia 105,561 t
- Eastern Europe 92,941 t
- Middle Africa 54 t
- European Union (27) 34,642 t
- Low Income Food Deficit Countries 20,421 t
- Northern Europe 18,678 t
- United States of America 15,570 t
- Southern Europe 14,660 t
- Americas 13,506 t
- South America 11,454 t
- Net Food Importing Developing Countries 8,412 t
- Northern Africa 6,618 t
- Africa 6,538 t
- Southern Asia 6,444 t
- Western Asia 2,444 t
- Least developed countries 2,276 t
- Northern America 2,035 t
- Southern Africa 333 t
- Oceania 247 t
- Western Africa 99 t
- Central Asia 42 t
- Central America 5 t
- Small Island Developing States -439 t
- Eastern Africa -566 t
- Western Europe -5,235 t
About this data
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.