Groundnuts — Losses 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
76
Highest
999 1000 t
China
Lowest
0 1000 t
Venezuela (Bolivarian Republic of)
Median
3.5 1000 t
Years covered
14
2010–2023
Data points
2,083

What the numbers show

Groundnuts — Losses is currently reported for 76 countries. The highest value is 999 1000 t in China; the lowest is 0 1000 t in Venezuela (Bolivarian Republic of).

The median across all reporting countries is 3.5 1000 t, and the mean is 49.78 1000 t.

Over the past decade 25 countries rose and 24 fell. The largest increase was in Egypt (up 650.0%), and the largest decrease in Jamaica (down 100.0%).

Groundnuts — Losses: full country ranking

#Country LatestYear 10-year changeTrend
1 China 999 1000 t 2023 up 13.9% rising
2 China, mainland 998 1000 t 2023 up 13.9% rising
3 India 417 1000 t 2023 down 4.1% falling
4 Nigeria 309 1000 t 2023 up 66.1% rising
5 Guinea 200 1000 t 2023 up 640.7% volatile
6 United States 166 1000 t 2023 up 13.7% flat
7 Myanmar 96 1000 t 2023 up 24.7% rising
8 Burkina Faso 50 1000 t 2023 up 92.3% rising
9 United Republic of Tanzania 44 1000 t 2023 down 58.9% falling
10 Cameroon 41 1000 t 2023 down 14.6% falling
11 Senegal 37 1000 t 2023 up 117.6% rising
12 Indonesia 32 1000 t 2023 up 357.1% volatile
13 Vietnam 30 1000 t 2023 down 18.9% falling
13 Viet Nam 30 1000 t 2023 down 18.9% falling
15 Democratic Republic of the Congo 25 1000 t 2023 down 19.4% falling
16 Malawi 20 1000 t 2023 down 9.1% flat
17 Angola 19 1000 t 2023 up 35.7% rising
18 Brazil 18 1000 t 2023 up 125.0% rising
18 Cote d'Ivoire 18 1000 t 2023 up 157.1% rising
18 Ghana 18 1000 t 2023 up 80.0% rising
18 Côte d'Ivoire 18 1000 t 2023 up 157.1% rising
22 Mozambique 17 1000 t 2023 up 142.9% flat
23 Egypt 15 1000 t 2023 up 650.0% volatile
24 Niger 14 1000 t 2023 up 40.0% rising
24 Zambia 14 1000 t 2023 up 75.0% falling
26 Zimbabwe 12 1000 t 2023 up 140.0% rising
27 Argentina 10 1000 t 2023 unchanged rising
27 Turkey 10 1000 t 2023 up 42.9% rising
27 Türkiye 10 1000 t 2023 up 42.9% rising
30 Ethiopia 9 1000 t 2023 up 12.5% rising
31 Pakistan 8 1000 t 2023 unchanged rising
32 Mexico 7 1000 t 2023 down 12.5% falling
32 Nicaragua 7 1000 t 2023 down 50.0% falling
32 Sierra Leone 7 1000 t 2023 unchanged rising
35 Guinea-Bissau 6 1000 t 2023 up 100.0% rising
36 Gambia 4 1000 t 2023 down 42.9% falling
36 Uganda 4 1000 t 2023 down 50.0% falling
36 South Africa 4 1000 t 2023 up 33.3% falling
39 Laos 3 1000 t 2023 down 25.0% falling
39 Lao People's Democratic Republic 3 1000 t 2023 down 25.0% falling
41 Congo 2 1000 t 2023 unchanged flat
41 Madagascar 2 1000 t 2023 up 100.0% rising
41 Thailand 2 1000 t 2023 down 33.3% falling
41 Caribbean 2 1000 t 2023 down 60.0% falling
45 Australia 1 1000 t 2023 down 50.0% falling
45 Bangladesh 1 1000 t 2023 unchanged rising
45 Dominican Republic 1 1000 t 2023 — volatile
45 Algeria 1 1000 t 2023 — volatile
45 Gabon 1 1000 t 2023 unchanged flat
45 Guatemala 1 1000 t 2023 unchanged flat
45 Haiti 1 1000 t 2023 down 66.7% falling
45 Israel 1 1000 t 2023 unchanged flat
45 Kenya 1 1000 t 2023 down 85.7% volatile
45 Cambodia 1 1000 t 2023 down 50.0% falling
45 Lebanon 1 1000 t 2023 unchanged flat
45 Liberia 1 1000 t 2023 — volatile
45 Libya 1 1000 t 2023 unchanged falling
45 Sri Lanka 1 1000 t 2023 unchanged flat
45 Morocco 1 1000 t 2023 unchanged flat
45 Paraguay 1 1000 t 2023 down 50.0% falling
45 Rwanda 1 1000 t 2023 unchanged rising
45 Syria 1 1000 t 2023 unchanged rising
45 Tajikistan 1 1000 t 2023 — volatile
45 Uzbekistan 1 1000 t 2023 — volatile
45 Bolivia (Plurinational State of) 1 1000 t 2023 unchanged flat
45 Iran (Islamic Republic of) 1 1000 t 2023 down 50.0% falling
45 Republic of Korea 1 1000 t 2023 unchanged flat
45 Syrian Arab Republic 1 1000 t 2023 unchanged rising
45 Australia and New Zealand 1 1000 t 2023 down 50.0% falling
45 China, Taiwan Province of 1 1000 t 2023 unchanged falling
71 Germany 0 1000 t 2023 — volatile
71 Ecuador 0 1000 t 2023 — volatile
71 Iraq 0 1000 t 2023 — volatile
71 Jamaica 0 1000 t 2023 down 100.0% volatile
71 Philippines 0 1000 t 2023 down 100.0% volatile
71 Venezuela (Bolivarian Republic of) 0 1000 t 2023 — 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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Groundnuts — Losses by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 28 September 2026, from https://agriculture.statizoid.com/stat/groundnuts-losses/

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About this data

Indicator
Groundnuts — Losses
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
158 places, 2,083 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.