Statizoid

Groundnut Cake — Export 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
102
Highest
18,018 t
Nicaragua
Lowest
0 t
China, Macao SAR
Median
0 t
Years covered
53
1961–2013
Data points
6,750

What the numbers show

Groundnut Cake — Export Quantity is currently reported for 102 countries. The highest value is 18,018 t in Nicaragua; the lowest is 0 t in China, Macao SAR.

The median across all reporting countries is 0 t, and the mean is 875.99 t.

Over the past decade 7 countries rose and 22 fell. The largest increase was in Bulgaria (up 14,700.0%), and the largest decrease in Burkina Faso (down 100.0%).

Groundnut Cake — Export Quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 Nicaragua 18,018 t 2013 up 119.3% volatile
2 Senegal 17,949 t 2013 down 48.2% volatile
3 Argentina 13,666 t 2013 down 31.8% volatile
4 India 8,551 t 2013 down 94.0% volatile
5 Belgium-Luxembourg 7,670 t 1999 up 704.0% volatile
6 Malaysia 7,453 t 2013 — volatile
7 Netherlands (Kingdom of the) 6,446 t 2013 up 71.5% volatile
8 Myanmar 3,000 t 2013 down 16.7% volatile
9 Pakistan 1,640 t 2013 up 1,507.8% volatile
10 Belgium 1,367 t 2013 down 67.1% volatile
11 China, mainland 854 t 2013 down 86.8% volatile
12 Indonesia 658 t 2013 up 135.0% volatile
13 Saudi Arabia 362 t 2013 up 4,425.0% volatile
14 Viet Nam 343 t 2013 down 40.0% volatile
15 Bulgaria 296 t 2013 up 14,700.0% volatile
16 Solomon Islands 254 t 2013 — volatile
16 Melanesia 254 t 2013 — volatile
18 Norway 200 t 2013 — volatile
19 France 70 t 2013 down 97.5% volatile
20 Ethiopia 51 t 2013 — volatile
21 Nigeria 49 t 2013 down 45.6% volatile
22 Sudan (former) 30 t 2011 down 99.7% volatile
23 Mozambique 28 t 2013 — volatile
24 Chad 21 t 2013 — volatile
25 Egypt 19 t 2013 — volatile
26 Jamaica 17 t 2013 — volatile
26 Caribbean 17 t 2013 — volatile
28 Sri Lanka 16 t 2013 — volatile
28 Nepal 16 t 2013 down 95.6% volatile
28 Thailand 16 t 2013 — volatile
31 Cameroon 10 t 2013 — volatile
32 Zimbabwe 5 t 2013 — volatile
33 United Kingdom of Great Britain and Northern Ireland 3 t 2013 — volatile
34 Canada 1 t 2013 — volatile
34 Serbia 1 t 2013 — volatile
36 Angola 0 t 2013 — volatile
36 Albania 0 t 2013 — volatile
36 United Arab Emirates 0 t 2013 — volatile
36 Australia 0 t 2013 — volatile
36 Austria 0 t 2013 — volatile
36 Burkina Faso 0 t 2013 down 100.0% volatile
36 Bangladesh 0 t 2013 — volatile
36 Brazil 0 t 2013 — volatile
36 Botswana 0 t 2013 down 100.0% volatile
36 Switzerland 0 t 2013 — volatile
36 Chile 0 t 2013 — volatile
36 Congo 0 t 2013 — volatile
36 Costa Rica 0 t 2013 — volatile
36 Czechia 0 t 2013 — volatile
36 Germany 0 t 2013 down 100.0% volatile
36 Denmark 0 t 2013 — volatile
36 Dominican Republic 0 t 2013 — volatile
36 Algeria 0 t 2013 — volatile
36 Spain 0 t 2013 — volatile
36 Georgia 0 t 2013 — volatile
36 Ghana 0 t 2013 down 100.0% volatile
36 Gambia 0 t 2013 down 100.0% volatile
36 Guinea-Bissau 0 t 2013 — volatile
36 Greece 0 t 2013 — volatile
36 Guatemala 0 t 2013 — volatile
36 Honduras 0 t 2013 — volatile
36 Hungary 0 t 2013 — volatile
36 Ireland 0 t 2013 — volatile
36 Italy 0 t 2013 — volatile
36 Jordan 0 t 2013 — volatile
36 Kenya 0 t 2013 — volatile
36 Lebanon 0 t 2013 — volatile
36 Lithuania 0 t 2013 — volatile
36 Morocco 0 t 2013 — volatile
36 Madagascar 0 t 2013 down 100.0% volatile
36 Mexico 0 t 2013 — volatile
36 Mali 0 t 2013 down 100.0% volatile
36 Malawi 0 t 2013 — volatile
36 Namibia 0 t 2013 — volatile
36 Niger 0 t 2013 down 100.0% volatile
36 Peru 0 t 2013 — volatile
36 Philippines 0 t 2013 — volatile
36 Poland 0 t 2013 — volatile
36 Portugal 0 t 2013 — volatile
36 Paraguay 0 t 2013 — volatile
36 Romania 0 t 2013 — volatile
36 Rwanda 0 t 2013 — volatile
36 El Salvador 0 t 2013 — volatile
36 Sweden 0 t 2013 — volatile
36 Eswatini 0 t 2013 down 100.0% volatile
36 Togo 0 t 2013 down 100.0% volatile
36 Trinidad and Tobago 0 t 2013 — volatile
36 Uganda 0 t 2013 — volatile
36 Ukraine 0 t 2013 — volatile
36 Uruguay 0 t 2013 — volatile
36 Zambia 0 t 2013 — volatile
36 Czechoslovakia 0 t 1992 — volatile
36 China, Hong Kong SAR 0 t 2013 — volatile
36 Iran (Islamic Republic of) 0 t 2013 — volatile
36 Republic of Korea 0 t 2013 — volatile
36 Venezuela (Bolivarian Republic of) 0 t 2013 — volatile
36 Australia and New Zealand 0 t 2013 — volatile
36 United Republic of Tanzania 0 t 2013 — volatile
36 C�te d'Ivoire 0 t 2013 — volatile
36 Ethiopia PDR 0 t 1992 down 100.0% volatile
36 T�rkiye 0 t 2013 — volatile
36 China, Macao SAR 0 t 2013 — volatile

Regions and income groups

Aggregates are excluded from the country ranking above so that a region can never outrank a country.

About this data

Indicator
Groundnut Cake — Export Quantity
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
133 places, 6,750 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.