Hard 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
Hard Fibres, Other — Domestic supply quantity is currently reported for 144 countries. The highest value is 547,114 t in China, mainland; the lowest is -161,906 t in Sri Lanka.
The median across all reporting countries is 157 t, and the mean is 5,033 t.
The gap between the highest and lowest reporting country is a factor of about 3.
Over the past decade 64 countries rose and 49 fell. The largest increase was in Sudan (former) (up 7,666.7%), and the largest decrease in Indonesia (down 5,595.7%).
Hard Fibres, Other — Domestic supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China, mainland | 547,114 t | 2013 | up 453.8% | volatile |
| 2 | Brazil | 60,384 t | 2013 | down 38.1% | rising |
| 3 | Ghana | 40,439 t | 2013 | up 4.8% | volatile |
| 4 | Canada | 39,277 t | 2013 | up 1,435.5% | volatile |
| 5 | Netherlands (Kingdom of the) | 27,030 t | 2013 | up 322.1% | volatile |
| 6 | Ethiopia | 21,442 t | 2013 | up 8.0% | rising |
| 7 | United Kingdom of Great Britain and Northern Ireland | 20,713 t | 2013 | up 289.1% | volatile |
| 8 | Mexico | 18,650 t | 2013 | up 193.8% | volatile |
| 9 | Ethiopia PDR | 17,573 t | 1992 | down 26.5% | rising |
| 10 | Spain | 16,770 t | 2013 | up 69.1% | volatile |
| 11 | Colombia | 16,023 t | 2013 | down 21.9% | falling |
| 12 | Russian Federation | 11,998 t | 2013 | up 864.5% | volatile |
| 13 | Germany | 11,488 t | 2013 | up 40.3% | falling |
| 14 | Bangladesh | 10,838 t | 2013 | down 8.2% | rising |
| 15 | Sierra Leone | 9,187 t | 2013 | up 13.0% | volatile |
| 16 | Australia and New Zealand | 8,797 t | 2013 | up 93.3% | volatile |
| 17 | Yugoslav SFR | 7,600 t | 1991 | up 22.5% | volatile |
| 18 | Malaysia | 7,373 t | 2013 | down 72.2% | falling |
| 19 | Slovenia | 7,020 t | 2013 | up 90.8% | rising |
| 20 | South Africa | 6,916 t | 2013 | up 49.7% | rising |
| 21 | Thailand | 6,760 t | 2013 | up 231.5% | volatile |
| 22 | Nicaragua | 5,250 t | 2013 | up 23.5% | volatile |
| 23 | Poland | 4,611 t | 2013 | up 135.9% | volatile |
| 24 | New Zealand | 4,563 t | 2013 | up 30.0% | falling |
| 25 | Cuba | 4,523 t | 2013 | up 10.7% | falling |
| 26 | Australia | 4,234 t | 2013 | up 305.9% | volatile |
| 27 | Saudi Arabia | 4,104 t | 2013 | up 5,161.5% | volatile |
| 28 | Cambodia | 3,650 t | 2013 | up 14.1% | rising |
| 29 | Italy | 3,504 t | 2013 | up 83.3% | volatile |
| 30 | Portugal | 3,465 t | 2013 | up 247.2% | volatile |
| 31 | Pakistan | 3,373 t | 2013 | up 210.6% | volatile |
| 32 | Ireland | 3,178 t | 2013 | up 719.1% | volatile |
| 33 | France | 3,150 t | 2013 | up 43.6% | volatile |
| 34 | El Salvador | 3,134 t | 2013 | up 12.9% | volatile |
| 35 | Algeria | 2,334 t | 2013 | — | volatile |
| 36 | Belgium | 2,258 t | 2013 | up 31.4% | rising |
| 37 | Egypt | 2,064 t | 2013 | up 6,558.1% | volatile |
| 38 | Greece | 2,042 t | 2013 | down 12.2% | volatile |
| 39 | Chile | 2,027 t | 2013 | up 18.6% | rising |
| 40 | Japan | 1,897 t | 2013 | down 66.9% | volatile |
| 41 | United Arab Emirates | 1,777 t | 2013 | up 5,453.1% | volatile |
| 42 | Republic of Korea | 1,740 t | 2013 | up 30.7% | volatile |
| 43 | Argentina | 1,650 t | 2013 | up 3.5% | volatile |
| 44 | Belgium-Luxembourg | 1,242 t | 1999 | up 3.2% | falling |
| 45 | China, Taiwan Province of | 1,164 t | 2013 | down 87.0% | falling |
| 46 | Switzerland | 1,095 t | 2013 | up 130.5% | volatile |
| 47 | Azerbaijan | 901 t | 2013 | — | volatile |
| 48 | Denmark | 810 t | 2013 | up 629.7% | volatile |
| 49 | Israel | 780 t | 2013 | down 62.0% | volatile |
| 50 | Norway | 762 t | 2013 | up 116.5% | volatile |
| 51 | T�rkiye | 751 t | 2013 | up 3,476.2% | volatile |
| 52 | Romania | 701 t | 2013 | up 3,405.0% | volatile |
| 53 | USSR | 700 t | 1991 | down 66.9% | volatile |
| 54 | Kazakhstan | 490 t | 2013 | — | volatile |
| 55 | Nepal | 482 t | 2013 | up 760.7% | volatile |
| 56 | Guatemala | 470 t | 2013 | up 201.3% | volatile |
| 57 | New Caledonia | 435 t | 2013 | up 888.6% | volatile |
| 58 | Kuwait | 423 t | 2013 | — | volatile |
| 59 | Samoa | 420 t | 2013 | down 11.4% | falling |
| 60 | Latvia | 410 t | 2013 | up 1,105.9% | volatile |
| 61 | Jamaica | 322 t | 2013 | up 307.6% | volatile |
| 62 | Cyprus | 315 t | 2013 | up 462.5% | volatile |
| 63 | Austria | 299 t | 2013 | down 70.8% | volatile |
| 64 | Tunisia | 279 t | 2013 | up 896.4% | volatile |
| 65 | Oman | 248 t | 2013 | down 59.1% | volatile |
| 66 | Sudan (former) | 233 t | 2011 | up 7,666.7% | volatile |
| 67 | Dominican Republic | 186 t | 2013 | — | volatile |
| 68 | Panama | 178 t | 2013 | up 641.7% | volatile |
| 69 | Czechia | 163 t | 2013 | down 61.1% | volatile |
| 70 | Bulgaria | 162 t | 2013 | up 68.8% | volatile |
| 70 | Croatia | 162 t | 2013 | up 710.0% | volatile |
| 72 | C�te d'Ivoire | 159 t | 2013 | down 81.5% | volatile |
| 73 | Myanmar | 155 t | 2013 | down 4.9% | falling |
| 74 | Georgia | 141 t | 2013 | — | volatile |
| 75 | Morocco | 128 t | 2013 | down 26.9% | volatile |
| 76 | Sweden | 120 t | 2013 | down 60.3% | volatile |
| 77 | Gabon | 98 t | 2013 | — | volatile |
| 78 | Burkina Faso | 96 t | 2013 | up 638.5% | volatile |
| 79 | Brunei Darussalam | 93 t | 2013 | up 675.0% | volatile |
| 80 | Hungary | 92 t | 2013 | down 37.0% | volatile |
| 81 | Costa Rica | 85 t | 2013 | up 372.2% | volatile |
| 82 | Uganda | 83 t | 2013 | up 2,666.7% | volatile |
| 83 | Slovak Republic | 82 t | 2013 | down 57.3% | volatile |
| 84 | Mauritius | 79 t | 2013 | down 26.9% | volatile |
| 85 | Nigeria | 76 t | 2013 | down 30.9% | volatile |
| 86 | Lebanon | 75 t | 2013 | up 56.2% | volatile |
| 87 | Ukraine | 73 t | 2013 | — | volatile |
| 88 | Estonia | 66 t | 2013 | up 6,500.0% | volatile |
| 88 | Yemen | 66 t | 2013 | — | volatile |
| 90 | Peru | 62 t | 2013 | down 12.7% | volatile |
| 91 | Liberia | 42 t | 2013 | — | volatile |
| 92 | Jordan | 34 t | 2013 | — | volatile |
| 92 | China, Hong Kong SAR | 34 t | 2013 | down 52.8% | volatile |
| 94 | Maldives | 30 t | 2013 | up 20.0% | volatile |
| 95 | Cameroon | 29 t | 2013 | — | volatile |
| 96 | Gambia | 27 t | 2013 | — | volatile |
| 97 | Uruguay | 26 t | 2013 | up 2,500.0% | volatile |
| 98 | Bosnia and Herzegovina | 25 t | 2013 | up 1,150.0% | volatile |
| 98 | Iraq | 25 t | 2013 | — | volatile |
| 98 | Kenya | 25 t | 2013 | down 99.0% | volatile |
| 98 | Malta | 25 t | 2013 | down 28.6% | volatile |
| 102 | Armenia | 24 t | 2013 | — | volatile |
| 102 | North Macedonia | 24 t | 2013 | — | volatile |
| 102 | Togo | 24 t | 2013 | — | volatile |
| 105 | Senegal | 21 t | 2013 | up 200.0% | volatile |
| 106 | Finland | 20 t | 2013 | down 59.2% | volatile |
| 107 | Belarus | 19 t | 2013 | up 1,800.0% | volatile |
| 107 | Suriname | 19 t | 2013 | down 20.8% | volatile |
| 109 | Congo | 14 t | 2013 | — | volatile |
| 109 | Iceland | 14 t | 2013 | — | volatile |
| 111 | Zambia | 12 t | 2013 | down 70.7% | volatile |
| 112 | Luxembourg | 10 t | 2013 | down 76.2% | volatile |
| 113 | Angola | 6 t | 2013 | down 99.8% | volatile |
| 114 | Trinidad and Tobago | 3 t | 2013 | — | volatile |
| 115 | Serbia | 2 t | 2013 | down 81.8% | volatile |
| 115 | Zimbabwe | 2 t | 2013 | down 85.7% | volatile |
| 117 | Albania | 1 t | 2013 | — | volatile |
| 118 | Antigua and Barbuda | 0 t | 2013 | — | volatile |
| 118 | Bahamas | 0 t | 2013 | — | volatile |
| 118 | Barbados | 0 t | 2013 | down 100.0% | volatile |
| 118 | Botswana | 0 t | 2013 | — | volatile |
| 118 | Fiji | 0 t | 2013 | — | volatile |
| 118 | Guinea | 0 t | 2013 | — | volatile |
| 118 | Grenada | 0 t | 2013 | — | volatile |
| 118 | Guyana | 0 t | 2013 | down 100.0% | volatile |
| 118 | Honduras | 0 t | 2013 | up 100.0% | volatile |
| 118 | Kyrgyzstan | 0 t | 2013 | — | volatile |
| 118 | Mali | 0 t | 2013 | — | volatile |
| 118 | Malawi | 0 t | 2013 | down 100.0% | volatile |
| 118 | Namibia | 0 t | 2013 | down 100.0% | volatile |
| 118 | Niger | 0 t | 2013 | down 100.0% | volatile |
| 118 | Paraguay | 0 t | 2013 | down 100.0% | volatile |
| 118 | French Polynesia | 0 t | 2013 | down 100.0% | volatile |
| 118 | Rwanda | 0 t | 2013 | — | volatile |
| 118 | Eswatini | 0 t | 2013 | down 100.0% | volatile |
| 118 | Czechoslovakia | 0 t | 1992 | down 100.0% | volatile |
| 118 | Netherlands Antilles (former) | 0 t | 2010 | — | volatile |
| 138 | Lithuania | -139 t | 2013 | down 1,258.3% | volatile |
| 139 | Ecuador | -5,198 t | 2013 | down 319.9% | volatile |
| 140 | Madagascar | -8,491 t | 2013 | down 568.3% | volatile |
| 141 | Philippines | -23,255 t | 2013 | down 1,349.6% | volatile |
| 142 | Indonesia | -23,808 t | 2013 | down 5,595.7% | volatile |
| 143 | India | -51,314 t | 2013 | down 110.2% | rising |
| 144 | Sri Lanka | -161,906 t | 2013 | down 2,017.6% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Eastern Asia 551,949 t
- South-Eastern Asia 283,468 t
- Americas 176,497 t
- Europe 122,225 t
- European Union (27) 87,814 t
- Africa 81,292 t
- South America 75,167 t
- Northern America 68,529 t
- Western Africa 50,071 t
- Western Europe 45,330 t
- Least developed countries 43,841 t
- Low Income Food Deficit Countries 38,057 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.