Statizoid

Sisal — Other uses (non-food) 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
138,537 t
Brazil
Lowest
0 t
T�rkiye
Median
0 t
Years covered
53
1961–2013
Data points
7,934

What the numbers show

Sisal — Other uses (non-food) is currently reported for 129 countries. The highest value is 138,537 t in Brazil; the lowest is 0 t in T�rkiye.

The median across all reporting countries is 0 t, and the mean is 2,133 t.

Over the past decade 15 countries rose and 89 fell. The largest increase was in Belgium-Luxembourg (up 1,112.8%), and the largest decrease in Bolivia (Plurinational State of) (down 100.0%).

Sisal — Other uses: full country ranking

#Country LatestYear 10-year changeTrend
1 Brazil 138,537 t 2013 up 23.5% volatile
1 United Republic of Tanzania 34,875 t 2013 up 525.7% volatile
2 Madagascar 18,950 t 2013 up 42.9% volatile
3 China, mainland 16,500 t 2013 down 66.0% rising
3 Venezuela (Bolivarian Republic of) 2,559 t 2013 down 41.0% falling
4 Kenya 12,481 t 2013 up 466.5% volatile
5 Mexico 12,000 t 2013 down 60.0% volatile
6 Haiti 8,996 t 2013 up 73.0% rising
6 Bolivia (Plurinational State of) 0 t 2013 down 100.0% volatile
6 Iran (Islamic Republic of) 0 t 2013 — volatile
6 Viet Nam 0 t 2013 — volatile
6 Democratic People's Republic of Korea 0 t 2013 down 100.0% volatile
7 Morocco 6,139 t 2013 up 26.5% flat
8 USSR 4,000 t 1991 down 78.1% volatile
9 South Africa 1,360 t 2013 down 48.1% volatile
10 Nigeria 1,255 t 2013 up 597.2% volatile
11 Caribbean 9,956 t 2013 up 40.2% falling
11 Belgium-Luxembourg 1,140 t 1999 up 1,112.8% volatile
12 Yugoslav SFR 950 t 1991 down 88.4% falling
13 Ethiopia PDR 800 t 1992 unchanged volatile
14 Mozambique 675 t 2013 down 31.5% volatile
15 Angola 652 t 2013 up 70.2% volatile
16 Ethiopia 650 t 2013 down 27.6% falling
17 Cuba 465 t 2013 down 56.9% volatile
18 Jamaica 440 t 2013 up 89.7% falling
19 Indonesia 350 t 2013 down 77.1% volatile
19 Czechoslovakia 350 t 1992 up 16.7% volatile
21 Central African Republic 220 t 2013 down 8.7% rising
22 Guinea 190 t 2013 down 14.0% rising
23 Malawi 138 t 2013 up 29.0% volatile
24 Iraq 90 t 2013 — volatile
25 Philippines 89 t 2013 down 87.3% volatile
26 Congo 73 t 2013 up 563.6% volatile
27 Gabon 71 t 2013 up 610.0% volatile
28 Cameroon 65 t 2013 down 19.8% volatile
29 Dominican Republic 55 t 2013 down 90.4% volatile
30 Benin 22 t 2013 down 68.6% volatile
31 Thailand 13 t 2013 down 94.8% volatile
32 Botswana 6 t 2013 down 14.3% volatile
33 Albania 0 t 2013 — volatile
33 Argentina 0 t 2013 down 100.0% volatile
33 Antigua and Barbuda 0 t 2013 — volatile
33 Australia 0 t 2013 down 100.0% volatile
33 Austria 0 t 2013 down 100.0% volatile
33 Belgium 0 t 2013 down 100.0% volatile
33 Burkina Faso 0 t 2013 down 100.0% volatile
33 Bangladesh 0 t 2013 down 100.0% volatile
33 Bulgaria 0 t 2013 — volatile
33 Belize 0 t 2013 down 100.0% volatile
33 Canada 0 t 2013 down 100.0% volatile
33 Switzerland 0 t 2013 down 100.0% volatile
33 Chile 0 t 2013 down 100.0% volatile
33 Colombia 0 t 2013 down 100.0% volatile
33 Costa Rica 0 t 2013 down 100.0% volatile
33 Cyprus 0 t 2013 down 100.0% volatile
33 Czechia 0 t 2013 down 100.0% volatile
33 Germany 0 t 2013 down 100.0% volatile
33 Denmark 0 t 2013 down 100.0% volatile
33 Algeria 0 t 2013 down 100.0% volatile
33 Egypt 0 t 2013 down 100.0% volatile
33 Spain 0 t 2013 down 100.0% volatile
33 Estonia 0 t 2013 down 100.0% volatile
33 Finland 0 t 2013 down 100.0% volatile
33 France 0 t 2013 down 100.0% volatile
33 Ghana 0 t 2013 down 100.0% volatile
33 Gambia 0 t 2013 — volatile
33 Greece 0 t 2013 down 100.0% volatile
33 Guatemala 0 t 2013 down 100.0% volatile
33 Guyana 0 t 2013 — volatile
33 Honduras 0 t 2013 down 100.0% volatile
33 Croatia 0 t 2013 down 100.0% volatile
33 Hungary 0 t 2013 down 100.0% volatile
33 India 0 t 2013 down 100.0% volatile
33 Ireland 0 t 2013 down 100.0% volatile
33 Iceland 0 t 2013 — volatile
33 Israel 0 t 2013 down 100.0% volatile
33 Italy 0 t 2013 down 100.0% volatile
33 Jordan 0 t 2013 down 100.0% volatile
33 Japan 0 t 2013 down 100.0% volatile
33 Kazakhstan 0 t 2013 — volatile
33 Lebanon 0 t 2013 — volatile
33 Saint Lucia 0 t 2013 — volatile
33 Sri Lanka 0 t 2013 down 100.0% volatile
33 Lithuania 0 t 2013 — volatile
33 Mali 0 t 2013 down 100.0% volatile
33 Mongolia 0 t 2013 — volatile
33 Mauritania 0 t 2013 down 100.0% volatile
33 Malaysia 0 t 2013 down 100.0% volatile
33 Namibia 0 t 2013 down 100.0% volatile
33 Niger 0 t 2013 — volatile
33 Nicaragua 0 t 2013 — volatile
33 Norway 0 t 2013 down 100.0% volatile
33 Nepal 0 t 2013 down 100.0% volatile
33 New Zealand 0 t 2013 down 100.0% volatile
33 Pakistan 0 t 2013 down 100.0% volatile
33 Panama 0 t 2013 down 100.0% volatile
33 Peru 0 t 2013 — volatile
33 Poland 0 t 2013 down 100.0% volatile
33 Portugal 0 t 2013 down 100.0% volatile
33 Paraguay 0 t 2013 — volatile
33 Romania 0 t 2013 down 100.0% volatile
33 Rwanda 0 t 2013 down 100.0% volatile
33 Saudi Arabia 0 t 2013 down 100.0% volatile
33 Senegal 0 t 2013 down 100.0% volatile
33 El Salvador 0 t 2013 down 100.0% volatile
33 Slovakia 0 t 2013 down 100.0% volatile
33 Slovenia 0 t 2013 down 100.0% volatile
33 Sweden 0 t 2013 down 100.0% volatile
33 Eswatini 0 t 2013 — volatile
33 Togo 0 t 2013 down 100.0% volatile
33 Trinidad and Tobago 0 t 2013 down 100.0% volatile
33 Tunisia 0 t 2013 down 100.0% volatile
33 Uganda 0 t 2013 down 100.0% volatile
33 Uruguay 0 t 2013 down 100.0% volatile
33 Yemen 0 t 2013 — volatile
33 Zambia 0 t 2013 down 100.0% volatile
33 Zimbabwe 0 t 2013 down 100.0% volatile
33 Serbia and Montenegro 0 t 2005 — volatile
33 Sudan (former) 0 t 2011 down 100.0% volatile
33 China, Hong Kong SAR 0 t 2013 — volatile
33 Republic of Korea 0 t 2013 — volatile
33 Russian Federation 0 t 2013 down 100.0% volatile
33 Australia and New Zealand 0 t 2013 down 100.0% volatile
33 Brunei Darussalam 0 t 2013 — volatile
33 China, Taiwan Province of 0 t 2013 down 100.0% volatile
33 Netherlands (Kingdom of the) 0 t 2013 down 100.0% volatile
33 United Kingdom of Great Britain and Northern Ireland 0 t 2013 down 100.0% volatile
33 C�te d'Ivoire 0 t 2013 down 100.0% volatile
33 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 — Other uses by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 05 October 2026, from https://agriculture.statizoid.com/stat/sisal-other-uses-non-food/

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About this data

Indicator
Sisal — Other uses (non-food)
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
159 places, 7,934 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.