Groundnut Oil — Export quantity by country

A 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
111
Highest
116 1000 t
India
Lowest
0 1000 t
China, Macao SAR
Median
0 1000 t
Years covered
14
2010–2023
Data points
1,626

What the numbers show

Groundnut Oil — Export quantity is currently reported for 111 countries. The highest value is 116 1000 t in India; the lowest is 0 1000 t in China, Macao SAR.

The median across all reporting countries is 0 1000 t, and the mean is 3.06 1000 t.

Over the past decade 8 countries rose and 6 fell. The largest increase was in India (up 3,766.7%), and the largest decrease in Australia (down 100.0%).

Groundnut Oil — Export quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 India 116 1000 t 2023 up 3,766.7% volatile
2 Brazil 96 1000 t 2023 up 52.4% volatile
3 Argentina 40 1000 t 2023 down 2.4% falling
4 Nicaragua 17 1000 t 2023 up 6.2% rising
5 Belgium 15 1000 t 2023 up 25.0% falling
6 China 11 1000 t 2023 up 10.0% flat
6 Netherlands (Kingdom of the) 11 1000 t 2023 up 266.7% volatile
8 Gambia 10 1000 t 2023 volatile
8 China, mainland 10 1000 t 2023 up 42.9% rising
10 France 3 1000 t 2023 down 50.0% falling
11 Italy 2 1000 t 2023 up 100.0% rising
11 Senegal 2 1000 t 2023 down 87.5% volatile
11 China, Hong Kong SAR 2 1000 t 2023 unchanged falling
14 Germany 1 1000 t 2023 rising
14 Malaysia 1 1000 t 2023 volatile
14 Niger 1 1000 t 2023 volatile
14 Nigeria 1 1000 t 2023 down 75.0% falling
14 Viet Nam 1 1000 t 2023 volatile
19 Angola 0 1000 t 2022 flat
19 United Arab Emirates 0 1000 t 2023 flat
19 Armenia 0 1000 t 2023 flat
19 Australia 0 1000 t 2023 down 100.0% volatile
19 Austria 0 1000 t 2023 flat
19 Burkina Faso 0 1000 t 2023 flat
19 Bulgaria 0 1000 t 2023 flat
19 Barbados 0 1000 t 2023 flat
19 Botswana 0 1000 t 2023 flat
19 Canada 0 1000 t 2023 flat
19 Switzerland 0 1000 t 2023 flat
19 Cameroon 0 1000 t 2023 flat
19 Congo 0 1000 t 2023 flat
19 Colombia 0 1000 t 2023 flat
19 Czechia 0 1000 t 2023 flat
19 Denmark 0 1000 t 2023 flat
19 Algeria 0 1000 t 2021 flat
19 Egypt 0 1000 t 2023 flat
19 Spain 0 1000 t 2023 volatile
19 Estonia 0 1000 t 2023 flat
19 Finland 0 1000 t 2023 flat
19 Fiji 0 1000 t 2022 flat
19 Gabon 0 1000 t 2019 flat
19 Georgia 0 1000 t 2016 flat
19 Ghana 0 1000 t 2023 volatile
19 Guinea 0 1000 t 2023 flat
19 Guinea-Bissau 0 1000 t 2022 flat
19 Greece 0 1000 t 2022 flat
19 Guatemala 0 1000 t 2023 flat
19 Croatia 0 1000 t 2022 flat
19 Hungary 0 1000 t 2023 flat
19 Indonesia 0 1000 t 2023 flat
19 Ireland 0 1000 t 2023 flat
19 Israel 0 1000 t 2023 flat
19 Jamaica 0 1000 t 2015 flat
19 Jordan 0 1000 t 2016 flat
19 Kenya 0 1000 t 2022 flat
19 Kuwait 0 1000 t 2023 volatile
19 Lebanon 0 1000 t 2022 flat
19 Sri Lanka 0 1000 t 2023 flat
19 Lithuania 0 1000 t 2023 flat
19 Luxembourg 0 1000 t 2023 flat
19 Latvia 0 1000 t 2023 flat
19 Morocco 0 1000 t 2023 flat
19 Madagascar 0 1000 t 2017 flat
19 Mexico 0 1000 t 2018 flat
19 Malta 0 1000 t 2022 flat
19 Myanmar 0 1000 t 2023 flat
19 Montenegro 0 1000 t 2015 flat
19 Mozambique 0 1000 t 2022 flat
19 Malawi 0 1000 t 2023 flat
19 Namibia 0 1000 t 2020 flat
19 Norway 0 1000 t 2023 flat
19 Nepal 0 1000 t 2015 flat
19 New Zealand 0 1000 t 2023 flat
19 Oman 0 1000 t 2023 volatile
19 Pakistan 0 1000 t 2021 flat
19 Peru 0 1000 t 2022 flat
19 Philippines 0 1000 t 2023 volatile
19 Poland 0 1000 t 2023 flat
19 Portugal 0 1000 t 2023 flat
19 Paraguay 0 1000 t 2022 flat
19 Romania 0 1000 t 2023 flat
19 Rwanda 0 1000 t 2022 flat
19 Saudi Arabia 0 1000 t 2023 flat
19 Solomon Islands 0 1000 t 2023 flat
19 Serbia 0 1000 t 2021 flat
19 Slovakia 0 1000 t 2017 flat
19 Slovenia 0 1000 t 2023 flat
19 Sweden 0 1000 t 2023 flat
19 Eswatini 0 1000 t 2015 flat
19 Thailand 0 1000 t 2023 flat
19 Tunisia 0 1000 t 2023 flat
19 Uganda 0 1000 t 2023 flat
19 Ukraine 0 1000 t 2023 flat
19 Yemen 0 1000 t 2015 flat
19 Zambia 0 1000 t 2021 flat
19 Zimbabwe 0 1000 t 2019 flat
19 Melanesia 0 1000 t 2023 flat
19 Polynesia 0 1000 t 2018 flat
19 Democratic Republic of the Congo 0 1000 t 2023 flat
19 Caribbean 0 1000 t 2023 flat
19 Iran (Islamic Republic of) 0 1000 t 2023 volatile
19 Republic of Korea 0 1000 t 2023 flat
19 Russian Federation 0 1000 t 2023 flat
19 Syrian Arab Republic 0 1000 t 2022 flat
19 Türkiye 0 1000 t 2022 flat
19 Australia and New Zealand 0 1000 t 2023 down 100.0% volatile
19 Côte d'Ivoire 0 1000 t 2023 flat
19 United Republic of Tanzania 0 1000 t 2023 volatile
19 China, Taiwan Province of 0 1000 t 2023 flat
19 United Kingdom of Great Britain and Northern Ireland 0 1000 t 2023 flat
19 China, Macao SAR 0 1000 t 2018 flat

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 Oil — Export quantity
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
142 places, 1,626 data points, 2010–2023
Last refreshed

A 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 capita 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.