Statizoid

Sisal — Import 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
129
Highest
4,495 t
Morocco
Lowest
0 t
T�rkiye
Median
0 t
Years covered
53
1961–2013
Data points
7,905

What the numbers show

Sisal — Import Quantity is currently reported for 129 countries. The highest value is 4,495 t in Morocco; the lowest is 0 t in T�rkiye.

The median across all reporting countries is 0 t, and the mean is 115.29 t.

Over the past decade 7 countries rose and 92 fell. The largest increase was in Gabon (up 610.0%), and the largest decrease in Bolivia (Plurinational State of) (down 100.0%).

Sisal — Import Quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 Morocco 4,495 t 2013 up 38.4% falling
2 USSR 4,000 t 1991 down 78.1% volatile
3 Belgium-Luxembourg 1,825 t 1999 up 25.4% volatile
3 Venezuela (Bolivarian Republic of) 144 t 2013 — volatile
4 Nigeria 1,255 t 2013 up 597.2% volatile
5 Kenya 1,136 t 2013 down 23.1% volatile
5 Bolivia (Plurinational State of) 0 t 2013 down 100.0% volatile
5 Iran (Islamic Republic of) 0 t 2013 — volatile
5 Viet Nam 0 t 2013 — volatile
5 United Republic of Tanzania 0 t 2013 down 100.0% volatile
5 Democratic People's Republic of Korea 0 t 2013 down 100.0% volatile
6 Yugoslav SFR 950 t 1991 down 88.4% falling
7 Czechoslovakia 350 t 1992 up 16.7% volatile
8 Philippines 335 t 2013 down 57.2% volatile
9 Iraq 90 t 2013 — volatile
10 Congo 73 t 2013 up 563.6% volatile
11 Gabon 71 t 2013 up 610.0% volatile
12 Cameroon 65 t 2013 down 19.8% volatile
13 Dominican Republic 25 t 2013 up 25.0% volatile
13 Caribbean 25 t 2013 down 97.0% volatile
14 Benin 22 t 2013 down 68.6% volatile
15 Botswana 6 t 2013 down 14.3% volatile
16 Guinea 5 t 2013 down 86.5% volatile
17 Albania 0 t 2013 — volatile
17 United Arab Emirates 0 t 2013 — volatile
17 Argentina 0 t 2013 down 100.0% volatile
17 Antigua and Barbuda 0 t 2013 — volatile
17 Australia 0 t 2013 down 100.0% volatile
17 Austria 0 t 2013 down 100.0% volatile
17 Belgium 0 t 2013 down 100.0% volatile
17 Burkina Faso 0 t 2013 down 100.0% volatile
17 Bangladesh 0 t 2013 down 100.0% volatile
17 Bulgaria 0 t 2013 — volatile
17 Belize 0 t 2013 down 100.0% volatile
17 Brazil 0 t 2013 down 100.0% volatile
17 Canada 0 t 2013 down 100.0% volatile
17 Switzerland 0 t 2013 down 100.0% volatile
17 Chile 0 t 2013 down 100.0% volatile
17 Colombia 0 t 2013 down 100.0% volatile
17 Costa Rica 0 t 2013 down 100.0% volatile
17 Cuba 0 t 2013 down 100.0% volatile
17 Cyprus 0 t 2013 down 100.0% volatile
17 Czechia 0 t 2013 down 100.0% volatile
17 Germany 0 t 2013 down 100.0% volatile
17 Denmark 0 t 2013 down 100.0% volatile
17 Algeria 0 t 2013 down 100.0% volatile
17 Ecuador 0 t 2013 — volatile
17 Egypt 0 t 2013 down 100.0% volatile
17 Spain 0 t 2013 down 100.0% volatile
17 Estonia 0 t 2013 down 100.0% volatile
17 Ethiopia 0 t 2013 down 100.0% volatile
17 Finland 0 t 2013 down 100.0% volatile
17 France 0 t 2013 down 100.0% volatile
17 Ghana 0 t 2013 down 100.0% volatile
17 Gambia 0 t 2013 — volatile
17 Greece 0 t 2013 down 100.0% volatile
17 Guatemala 0 t 2013 down 100.0% volatile
17 Guyana 0 t 2013 — volatile
17 Honduras 0 t 2013 down 100.0% volatile
17 Croatia 0 t 2013 down 100.0% volatile
17 Haiti 0 t 2013 — volatile
17 Hungary 0 t 2013 down 100.0% volatile
17 Indonesia 0 t 2013 down 100.0% volatile
17 India 0 t 2013 down 100.0% volatile
17 Ireland 0 t 2013 down 100.0% volatile
17 Iceland 0 t 2013 — volatile
17 Israel 0 t 2013 down 100.0% volatile
17 Italy 0 t 2013 down 100.0% volatile
17 Jamaica 0 t 2013 — volatile
17 Jordan 0 t 2013 down 100.0% volatile
17 Japan 0 t 2013 down 100.0% volatile
17 Kazakhstan 0 t 2013 — volatile
17 Lebanon 0 t 2013 — volatile
17 Saint Lucia 0 t 2013 — volatile
17 Sri Lanka 0 t 2013 down 100.0% volatile
17 Lithuania 0 t 2013 — volatile
17 Madagascar 0 t 2013 — volatile
17 Mexico 0 t 2013 down 100.0% volatile
17 Mali 0 t 2013 down 100.0% volatile
17 Mongolia 0 t 2013 — volatile
17 Mauritania 0 t 2013 down 100.0% volatile
17 Malawi 0 t 2013 down 100.0% volatile
17 Malaysia 0 t 2013 down 100.0% volatile
17 Namibia 0 t 2013 down 100.0% volatile
17 Niger 0 t 2013 — volatile
17 Nicaragua 0 t 2013 — volatile
17 Norway 0 t 2013 down 100.0% volatile
17 Nepal 0 t 2013 down 100.0% volatile
17 New Zealand 0 t 2013 down 100.0% volatile
17 Oman 0 t 2013 — volatile
17 Pakistan 0 t 2013 down 100.0% volatile
17 Panama 0 t 2013 down 100.0% volatile
17 Peru 0 t 2013 — volatile
17 Poland 0 t 2013 down 100.0% volatile
17 Portugal 0 t 2013 down 100.0% volatile
17 Paraguay 0 t 2013 — volatile
17 Romania 0 t 2013 down 100.0% volatile
17 Rwanda 0 t 2013 down 100.0% volatile
17 Saudi Arabia 0 t 2013 down 100.0% volatile
17 Senegal 0 t 2013 down 100.0% volatile
17 El Salvador 0 t 2013 down 100.0% volatile
17 Slovakia 0 t 2013 down 100.0% volatile
17 Slovenia 0 t 2013 down 100.0% volatile
17 Sweden 0 t 2013 down 100.0% volatile
17 Eswatini 0 t 2013 — volatile
17 Togo 0 t 2013 down 100.0% volatile
17 Thailand 0 t 2013 down 100.0% volatile
17 Trinidad and Tobago 0 t 2013 down 100.0% volatile
17 Tunisia 0 t 2013 down 100.0% volatile
17 Uganda 0 t 2013 down 100.0% volatile
17 Uruguay 0 t 2013 down 100.0% volatile
17 Yemen 0 t 2013 — volatile
17 South Africa 0 t 2013 down 100.0% volatile
17 Zambia 0 t 2013 down 100.0% volatile
17 Zimbabwe 0 t 2013 down 100.0% volatile
17 Serbia and Montenegro 0 t 2005 — volatile
17 Sudan (former) 0 t 2011 down 100.0% volatile
17 China, Hong Kong SAR 0 t 2013 down 100.0% volatile
17 Republic of Korea 0 t 2013 down 100.0% volatile
17 Russian Federation 0 t 2013 down 100.0% volatile
17 Australia and New Zealand 0 t 2013 down 100.0% volatile
17 China, mainland 0 t 2013 down 100.0% volatile
17 Brunei Darussalam 0 t 2013 — volatile
17 China, Taiwan Province of 0 t 2013 down 100.0% volatile
17 Netherlands (Kingdom of the) 0 t 2013 down 100.0% volatile
17 United Kingdom of Great Britain and Northern Ireland 0 t 2013 down 100.0% volatile
17 C�te d'Ivoire 0 t 2013 down 100.0% volatile
17 Ethiopia PDR 0 t 1992 — volatile
17 T�rkiye 0 t 2013 down 100.0% 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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Sisal — Import Quantity by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 06 October 2026, from https://agriculture.statizoid.com/stat/sisal-import-quantity/

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About this data

Indicator
Sisal — Import Quantity
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
159 places, 7,905 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.