Sisal — 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
Sisal — Domestic supply quantity is currently reported for 130 countries. The highest value is 150,584 t in Brazil; the lowest is -2 t in Nepal.
The median across all reporting countries is 0 t, and the mean is 2,197 t.
The gap between the highest and lowest reporting country is a factor of about 75,292.
Over the past decade 18 countries rose and 87 fell. The largest increase was in Belgium-Luxembourg (up 1,112.8%), and the largest decrease in Nepal (down 104.9%).
Sisal — Domestic supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Brazil | 150,584 t | 2013 | up 18.5% | rising |
| 2 | United Republic of Tanzania | 34,875 t | 2013 | up 525.7% | volatile |
| 3 | Madagascar | 18,950 t | 2013 | up 42.9% | volatile |
| 4 | China, mainland | 16,500 t | 2013 | down 66.0% | rising |
| 5 | Kenya | 12,481 t | 2013 | up 466.5% | volatile |
| 6 | Mexico | 12,000 t | 2013 | down 60.0% | volatile |
| 7 | Caribbean | 9,956 t | 2013 | up 40.2% | falling |
| 8 | Haiti | 8,996 t | 2013 | up 73.0% | rising |
| 9 | Morocco | 6,139 t | 2013 | up 26.5% | flat |
| 10 | USSR | 4,000 t | 1991 | down 78.1% | volatile |
| 11 | Venezuela (Bolivarian Republic of) | 2,559 t | 2013 | down 41.0% | falling |
| 12 | Nigeria | 1,255 t | 2013 | up 597.2% | volatile |
| 13 | Belgium-Luxembourg | 1,140 t | 1999 | up 1,112.8% | volatile |
| 14 | Yugoslav SFR | 950 t | 1991 | down 88.4% | falling |
| 15 | Ethiopia PDR | 800 t | 1992 | unchanged | volatile |
| 16 | Mozambique | 675 t | 2013 | down 31.5% | volatile |
| 17 | Angola | 652 t | 2013 | up 70.2% | volatile |
| 18 | Ethiopia | 650 t | 2013 | down 27.6% | falling |
| 19 | Cuba | 465 t | 2013 | down 56.9% | volatile |
| 20 | Jamaica | 440 t | 2013 | up 89.7% | falling |
| 21 | Indonesia | 350 t | 2013 | down 77.1% | volatile |
| 21 | Czechoslovakia | 350 t | 1992 | up 16.7% | volatile |
| 23 | Guinea | 190 t | 2013 | down 14.0% | rising |
| 24 | Malawi | 138 t | 2013 | up 29.0% | volatile |
| 25 | Iraq | 90 t | 2013 | — | volatile |
| 26 | Philippines | 89 t | 2013 | down 87.3% | volatile |
| 27 | Congo | 73 t | 2013 | up 563.6% | volatile |
| 28 | Gabon | 71 t | 2013 | up 610.0% | volatile |
| 29 | Cameroon | 65 t | 2013 | down 19.8% | volatile |
| 30 | Dominican Republic | 55 t | 2013 | down 90.4% | volatile |
| 31 | Benin | 22 t | 2013 | down 68.6% | volatile |
| 32 | Thailand | 13 t | 2013 | down 94.8% | volatile |
| 33 | Botswana | 6 t | 2013 | down 14.3% | volatile |
| 34 | Albania | 0 t | 2013 | — | volatile |
| 34 | United Arab Emirates | 0 t | 2013 | — | volatile |
| 34 | Argentina | 0 t | 2013 | down 100.0% | volatile |
| 34 | Antigua and Barbuda | 0 t | 2013 | — | volatile |
| 34 | Australia | 0 t | 2013 | down 100.0% | volatile |
| 34 | Austria | 0 t | 2013 | down 100.0% | volatile |
| 34 | Belgium | 0 t | 2013 | down 100.0% | volatile |
| 34 | Burkina Faso | 0 t | 2013 | down 100.0% | volatile |
| 34 | Bangladesh | 0 t | 2013 | down 100.0% | volatile |
| 34 | Bulgaria | 0 t | 2013 | — | volatile |
| 34 | Belize | 0 t | 2013 | down 100.0% | volatile |
| 34 | Canada | 0 t | 2013 | down 100.0% | volatile |
| 34 | Switzerland | 0 t | 2013 | down 100.0% | volatile |
| 34 | Chile | 0 t | 2013 | down 100.0% | volatile |
| 34 | Colombia | 0 t | 2013 | down 100.0% | volatile |
| 34 | Costa Rica | 0 t | 2013 | down 100.0% | volatile |
| 34 | Cyprus | 0 t | 2013 | down 100.0% | volatile |
| 34 | Czechia | 0 t | 2013 | down 100.0% | volatile |
| 34 | Germany | 0 t | 2013 | down 100.0% | volatile |
| 34 | Denmark | 0 t | 2013 | down 100.0% | volatile |
| 34 | Algeria | 0 t | 2013 | down 100.0% | volatile |
| 34 | Ecuador | 0 t | 2013 | up 100.0% | volatile |
| 34 | Egypt | 0 t | 2013 | down 100.0% | volatile |
| 34 | Spain | 0 t | 2013 | down 100.0% | volatile |
| 34 | Estonia | 0 t | 2013 | down 100.0% | volatile |
| 34 | Finland | 0 t | 2013 | down 100.0% | volatile |
| 34 | France | 0 t | 2013 | down 100.0% | volatile |
| 34 | Ghana | 0 t | 2013 | down 100.0% | volatile |
| 34 | Gambia | 0 t | 2013 | — | volatile |
| 34 | Greece | 0 t | 2013 | down 100.0% | volatile |
| 34 | Guatemala | 0 t | 2013 | down 100.0% | volatile |
| 34 | Guyana | 0 t | 2013 | — | volatile |
| 34 | Honduras | 0 t | 2013 | down 100.0% | volatile |
| 34 | Croatia | 0 t | 2013 | down 100.0% | volatile |
| 34 | Hungary | 0 t | 2013 | down 100.0% | volatile |
| 34 | India | 0 t | 2013 | down 100.0% | volatile |
| 34 | Ireland | 0 t | 2013 | down 100.0% | volatile |
| 34 | Iceland | 0 t | 2013 | — | volatile |
| 34 | Israel | 0 t | 2013 | down 100.0% | volatile |
| 34 | Italy | 0 t | 2013 | down 100.0% | volatile |
| 34 | Jordan | 0 t | 2013 | down 100.0% | volatile |
| 34 | Japan | 0 t | 2013 | down 100.0% | volatile |
| 34 | Kazakhstan | 0 t | 2013 | — | volatile |
| 34 | Lebanon | 0 t | 2013 | — | volatile |
| 34 | Saint Lucia | 0 t | 2013 | — | volatile |
| 34 | Sri Lanka | 0 t | 2013 | down 100.0% | volatile |
| 34 | Lithuania | 0 t | 2013 | — | volatile |
| 34 | Mali | 0 t | 2013 | down 100.0% | volatile |
| 34 | Mongolia | 0 t | 2013 | — | volatile |
| 34 | Mauritania | 0 t | 2013 | down 100.0% | volatile |
| 34 | Malaysia | 0 t | 2013 | down 100.0% | volatile |
| 34 | Namibia | 0 t | 2013 | down 100.0% | volatile |
| 34 | Niger | 0 t | 2013 | — | volatile |
| 34 | Nicaragua | 0 t | 2013 | — | volatile |
| 34 | Norway | 0 t | 2013 | down 100.0% | volatile |
| 34 | New Zealand | 0 t | 2013 | down 100.0% | volatile |
| 34 | Oman | 0 t | 2013 | — | volatile |
| 34 | Pakistan | 0 t | 2013 | down 100.0% | volatile |
| 34 | Panama | 0 t | 2013 | down 100.0% | volatile |
| 34 | Peru | 0 t | 2013 | — | volatile |
| 34 | Poland | 0 t | 2013 | down 100.0% | volatile |
| 34 | Portugal | 0 t | 2013 | down 100.0% | volatile |
| 34 | Paraguay | 0 t | 2013 | — | volatile |
| 34 | Romania | 0 t | 2013 | down 100.0% | volatile |
| 34 | Rwanda | 0 t | 2013 | down 100.0% | volatile |
| 34 | Saudi Arabia | 0 t | 2013 | down 100.0% | volatile |
| 34 | Senegal | 0 t | 2013 | down 100.0% | volatile |
| 34 | El Salvador | 0 t | 2013 | down 100.0% | volatile |
| 34 | Slovakia | 0 t | 2013 | down 100.0% | volatile |
| 34 | Slovenia | 0 t | 2013 | down 100.0% | volatile |
| 34 | Sweden | 0 t | 2013 | down 100.0% | volatile |
| 34 | Eswatini | 0 t | 2013 | — | volatile |
| 34 | Togo | 0 t | 2013 | down 100.0% | volatile |
| 34 | Trinidad and Tobago | 0 t | 2013 | down 100.0% | volatile |
| 34 | Tunisia | 0 t | 2013 | down 100.0% | volatile |
| 34 | Uganda | 0 t | 2013 | down 100.0% | volatile |
| 34 | Uruguay | 0 t | 2013 | down 100.0% | volatile |
| 34 | Yemen | 0 t | 2013 | — | volatile |
| 34 | Zambia | 0 t | 2013 | down 100.0% | volatile |
| 34 | Zimbabwe | 0 t | 2013 | down 100.0% | volatile |
| 34 | Serbia and Montenegro | 0 t | 2005 | — | volatile |
| 34 | Sudan (former) | 0 t | 2011 | down 100.0% | volatile |
| 34 | Bolivia (Plurinational State of) | 0 t | 2013 | down 100.0% | volatile |
| 34 | China, Hong Kong SAR | 0 t | 2013 | up 100.0% | volatile |
| 34 | Iran (Islamic Republic of) | 0 t | 2013 | — | volatile |
| 34 | Republic of Korea | 0 t | 2013 | up 100.0% | volatile |
| 34 | Russian Federation | 0 t | 2013 | down 100.0% | volatile |
| 34 | Viet Nam | 0 t | 2013 | — | volatile |
| 34 | Australia and New Zealand | 0 t | 2013 | down 100.0% | volatile |
| 34 | Brunei Darussalam | 0 t | 2013 | — | volatile |
| 34 | China, Taiwan Province of | 0 t | 2013 | down 100.0% | volatile |
| 34 | Netherlands (Kingdom of the) | 0 t | 2013 | down 100.0% | volatile |
| 34 | United Kingdom of Great Britain and Northern Ireland | 0 t | 2013 | down 100.0% | volatile |
| 34 | C�te d'Ivoire | 0 t | 2013 | down 100.0% | volatile |
| 34 | Democratic People's Republic of Korea | 0 t | 2013 | down 100.0% | volatile |
| 34 | T�rkiye | 0 t | 2013 | down 100.0% | volatile |
| 130 | Nepal | -2 t | 2013 | down 104.9% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 269,961 t
- Americas 175,099 t
- South America 153,143 t
- Net Food Importing Developing Countries 87,582 t
- Low Income Food Deficit Countries 78,515 t
- Africa 77,822 t
- Eastern Africa 67,769 t
- Least Developed Countries 65,366 t
- Asia 17,040 t
- Eastern Asia 16,500 t
- Central America 12,000 t
- Small Island Developing States 9,956 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.