Pulses, Other and products — 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
150
Highest
693 1000 t
Niger
Lowest
0 1000 t
China, Macao SAR
Median
1 1000 t
Years covered
14
2010–2023
Data points
2,439

What the numbers show

Pulses, Other and products — Losses is currently reported for 150 countries. The highest value is 693 1000 t in Niger; the lowest is 0 1000 t in China, Macao SAR.

The median across all reporting countries is 1 1000 t, and the mean is 20.89 1000 t.

Over the past decade 32 countries rose and 27 fell. The largest increase was in Germany (up 450.0%), and the largest decrease in Indonesia (down 100.0%).

Pulses, Other and products — Losses: full country ranking

#Country LatestYear 10-year changeTrend
1 Niger 693 1000 t 2023 up 50.0% rising
2 India 613 1000 t 2023 down 7.7% flat
3 Nigeria 451 1000 t 2023 down 7.0% rising
4 Australia and New Zealand 131 1000 t 2023 up 47.2% flat
5 Australia 130 1000 t 2023 up 47.7% flat
6 China 109 1000 t 2023 up 25.3% rising
6 China, mainland 109 1000 t 2023 up 25.3% rising
8 Ethiopia 104 1000 t 2023 up 14.3% rising
9 Malawi 52 1000 t 2023 up 4.0% rising
10 Myanmar 51 1000 t 2023 down 41.4% falling
11 Türkiye 47 1000 t 2023 up 42.4% rising
12 Russian Federation 46 1000 t 2023 up 9.5% rising
13 Canada 45 1000 t 2023 down 23.7% rising
13 United Kingdom of Great Britain and Northern Ireland 45 1000 t 2023 volatile
15 Burkina Faso 42 1000 t 2023 down 36.4% falling
16 Bangladesh 32 1000 t 2023 up 220.0% rising
16 Pakistan 32 1000 t 2023 up 3.2% falling
18 Egypt 27 1000 t 2023 down 25.0% falling
19 France 25 1000 t 2023 up 66.7% rising
20 United Republic of Tanzania 22 1000 t 2023 down 31.2% falling
21 Nepal 18 1000 t 2023 up 28.6% rising
21 Peru 18 1000 t 2023 up 38.5% rising
23 Democratic Republic of the Congo 16 1000 t 2023 up 166.7% rising
24 Mozambique 15 1000 t 2023 unchanged rising
24 Poland 15 1000 t 2023 up 150.0% rising
26 Cameroon 13 1000 t 2023 up 18.2% rising
27 Spain 12 1000 t 2023 down 25.0% flat
27 Kenya 12 1000 t 2023 down 45.5% rising
27 Morocco 12 1000 t 2023 down 20.0% falling
27 Mexico 12 1000 t 2023 down 29.4% flat
27 Iran (Islamic Republic of) 12 1000 t 2023 down 20.0% flat
32 Germany 11 1000 t 2023 up 450.0% volatile
33 Sierra Leone 8 1000 t 2023 unchanged rising
34 Sri Lanka 7 1000 t 2023 up 16.7% rising
34 Senegal 7 1000 t 2023 up 250.0% volatile
34 Syrian Arab Republic 7 1000 t 2023 down 36.4% flat
34 Viet Nam 7 1000 t 2023 up 16.7% rising
38 Algeria 6 1000 t 2023 up 50.0% rising
38 Italy 6 1000 t 2023 up 50.0% rising
38 Lithuania 6 1000 t 2023 down 14.3% volatile
38 Saudi Arabia 6 1000 t 2023 up 50.0% rising
38 Thailand 6 1000 t 2023 up 20.0% rising
43 Guatemala 5 1000 t 2023 unchanged rising
43 Tunisia 5 1000 t 2023 unchanged rising
43 Yemen 5 1000 t 2023 up 25.0% rising
43 Zimbabwe 5 1000 t 2023 up 150.0% volatile
47 United Arab Emirates 4 1000 t 2023 down 20.0% rising
47 Greece 4 1000 t 2023 up 100.0% rising
47 Norway 4 1000 t 2023 up 300.0% volatile
47 Uzbekistan 4 1000 t 2023 up 33.3% rising
52 Guinea 3 1000 t 2023 unchanged flat
52 Kyrgyzstan 3 1000 t 2023 volatile
52 Mauritania 3 1000 t 2023 unchanged flat
55 Argentina 2 1000 t 2023 down 33.3% rising
55 Belarus 2 1000 t 2023 down 50.0% falling
55 Chile 2 1000 t 2023 unchanged falling
55 Dominican Republic 2 1000 t 2023 unchanged flat
55 Haiti 2 1000 t 2023 down 66.7% falling
55 Ireland 2 1000 t 2023 up 100.0% rising
55 Latvia 2 1000 t 2023 volatile
55 Madagascar 2 1000 t 2023 up 100.0% rising
55 Philippines 2 1000 t 2023 unchanged falling
55 Serbia 2 1000 t 2023 unchanged falling
55 Sweden 2 1000 t 2023 down 33.3% falling
55 Venezuela (Bolivarian Republic of) 2 1000 t 2023 down 81.8% volatile
67 Afghanistan 1 1000 t 2023 down 66.7% falling
67 Austria 1 1000 t 2023 unchanged flat
67 Bulgaria 1 1000 t 2023 volatile
67 Bosnia and Herzegovina 1 1000 t 2023 volatile
67 Comoros 1 1000 t 2023 unchanged flat
67 Cuba 1 1000 t 2019 unchanged rising
67 Czechia 1 1000 t 2023 volatile
67 Denmark 1 1000 t 2023 volatile
67 Ghana 1 1000 t 2023 unchanged flat
67 Iraq 1 1000 t 2023 volatile
67 Jordan 1 1000 t 2023 unchanged flat
67 Kazakhstan 1 1000 t 2023 unchanged volatile
67 Libya 1 1000 t 2023 volatile
67 North Macedonia 1 1000 t 2023 unchanged rising
67 Namibia 1 1000 t 2023 unchanged flat
67 Portugal 1 1000 t 2023 volatile
67 Paraguay 1 1000 t 2023 unchanged flat
67 Qatar 1 1000 t 2023 flat
67 Tajikistan 1 1000 t 2023 down 50.0% volatile
67 Uganda 1 1000 t 2023 down 50.0% rising
67 Ukraine 1 1000 t 2023 down 66.7% volatile
67 Zambia 1 1000 t 2023 down 50.0% flat
67 Melanesia 1 1000 t 2023 unchanged rising
67 Bolivia (Plurinational State of) 1 1000 t 2023 unchanged flat
67 Côte d'Ivoire 1 1000 t 2023 unchanged flat
67 Netherlands (Kingdom of the) 1 1000 t 2023 volatile
93 Albania 0 1000 t 2023 flat
93 Armenia 0 1000 t 2023 flat
93 Antigua and Barbuda 0 1000 t 2023 flat
93 Azerbaijan 0 1000 t 2023 flat
93 Belgium 0 1000 t 2023 volatile
93 Bahrain 0 1000 t 2023 volatile
93 Bahamas 0 1000 t 2023 flat
93 Brazil 0 1000 t 2023 volatile
93 Barbados 0 1000 t 2023 flat
93 Bhutan 0 1000 t 2023 flat
93 Botswana 0 1000 t 2023 volatile
93 Switzerland 0 1000 t 2023 flat
93 Colombia 0 1000 t 2023 volatile
93 Cyprus 0 1000 t 2023 flat
93 Ecuador 0 1000 t 2023 flat
93 Estonia 0 1000 t 2023 flat
93 Fiji 0 1000 t 2023 flat
93 Gabon 0 1000 t 2023 flat
93 Gambia 0 1000 t 2023 flat
93 Guinea-Bissau 0 1000 t 2023 flat
93 Grenada 0 1000 t 2023 flat
93 Guyana 0 1000 t 2023 flat
93 Croatia 0 1000 t 2023 flat
93 Hungary 0 1000 t 2023 flat
93 Indonesia 0 1000 t 2023 down 100.0% volatile
93 Israel 0 1000 t 2023 down 100.0% volatile
93 Jamaica 0 1000 t 2023 flat
93 Saint Kitts and Nevis 0 1000 t 2023 flat
93 Lebanon 0 1000 t 2023 flat
93 Liberia 0 1000 t 2023 flat
93 Saint Lucia 0 1000 t 2023 flat
93 Luxembourg 0 1000 t 2023 flat
93 Maldives 0 1000 t 2023 flat
93 Malta 0 1000 t 2023 flat
93 Mongolia 0 1000 t 2023 flat
93 Mauritius 0 1000 t 2019 flat
93 New Caledonia 0 1000 t 2023 flat
93 New Zealand 0 1000 t 2023 flat
93 Panama 0 1000 t 2023 volatile
93 Papua New Guinea 0 1000 t 2023 flat
93 French Polynesia 0 1000 t 2023 flat
93 Romania 0 1000 t 2023 flat
93 Solomon Islands 0 1000 t 2023 flat
93 Suriname 0 1000 t 2023 flat
93 Slovakia 0 1000 t 2023 flat
93 Slovenia 0 1000 t 2023 flat
93 Eswatini 0 1000 t 2023 flat
93 Seychelles 0 1000 t 2023 flat
93 Trinidad and Tobago 0 1000 t 2023 flat
93 Uruguay 0 1000 t 2023 flat
93 Saint Vincent and the Grenadines 0 1000 t 2023 flat
93 Timor-Leste 0 1000 t 2018 flat
93 Cabo Verde 0 1000 t 2023 flat
93 Polynesia 0 1000 t 2023 flat
93 Republic of Korea 0 1000 t 2023 flat
93 Republic of Moldova 0 1000 t 2023 flat
93 Lao People's Democratic Republic 0 1000 t 2023 volatile
93 Democratic People's Republic of Korea 0 1000 t 2018 flat
93 China, Macao SAR 0 1000 t 2019 flat

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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Pulses, Other and products — Losses by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 16 August 2026, from https://agriculture.statizoid.com/stat/pulses-other-and-products-losses/

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About this data

Indicator
Pulses, Other and products — Losses
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
182 places, 2,439 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.