Fats, Animals, Raw — 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
181
Highest
219 1000 t
China
Lowest
0 1000 t
China, Macao SAR
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,807

What the numbers show

Fats, Animals, Raw — Losses is currently reported for 181 countries. The highest value is 219 1000 t in China; the lowest is 0 1000 t in China, Macao SAR.

The median across all reporting countries is 0 1000 t, and the mean is 5.47 1000 t.

Over the past decade 32 countries rose and 11 fell. The largest increase was in Malaysia (up 1,500.0%), and the largest decrease in Madagascar (down 100.0%).

Fats, Animals, Raw — Losses: full country ranking

#Country LatestYear 10-year changeTrend
1 China 219 1000 t 2023 up 5.3% flat
2 China, mainland 214 1000 t 2023 up 5.9% flat
3 India 136 1000 t 2023 up 166.7% rising
4 Germany 47 1000 t 2023 up 571.4% volatile
5 Brazil 33 1000 t 2023 up 17.9% rising
6 Australia and New Zealand 26 1000 t 2023 up 52.9% rising
7 Argentina 23 1000 t 2023 up 15.0% rising
8 Poland 21 1000 t 2023 up 600.0% volatile
9 Australia 18 1000 t 2023 up 38.5% rising
9 Spain 18 1000 t 2023 up 157.1% rising
11 Malaysia 16 1000 t 2023 up 1,500.0% volatile
12 Viet Nam 15 1000 t 2023 up 36.4% rising
13 Mexico 14 1000 t 2023 up 27.3% rising
14 Philippines 12 1000 t 2023 down 7.7% flat
15 France 11 1000 t 2023 unchanged flat
15 Pakistan 11 1000 t 2023 up 57.1% rising
17 United Kingdom of Great Britain and Northern Ireland 10 1000 t 2023 down 37.5% falling
18 Russian Federation 8 1000 t 2023 up 33.3% rising
19 Ireland 7 1000 t 2023 up 40.0% rising
19 New Zealand 7 1000 t 2023 up 40.0% rising
21 Peru 6 1000 t 2023 up 20.0% rising
21 Republic of Korea 6 1000 t 2023 up 500.0% volatile
23 Denmark 5 1000 t 2023 down 16.7% volatile
23 Saudi Arabia 5 1000 t 2023 up 66.7% rising
23 China, Taiwan Province of 5 1000 t 2023 unchanged falling
26 Colombia 4 1000 t 2023 up 33.3% rising
26 Italy 4 1000 t 2023 up 300.0% rising
26 Netherlands (Kingdom of the) 4 1000 t 2023 up 100.0% rising
29 Bangladesh 3 1000 t 2023 unchanged flat
29 Canada 3 1000 t 2023 up 200.0% rising
29 Ecuador 3 1000 t 2023 unchanged flat
29 Portugal 3 1000 t 2023 volatile
29 Thailand 3 1000 t 2023 unchanged flat
29 Uruguay 3 1000 t 2023 unchanged rising
29 Uzbekistan 3 1000 t 2023 unchanged rising
29 Iran (Islamic Republic of) 3 1000 t 2023 unchanged flat
29 Türkiye 3 1000 t 2023 up 200.0% volatile
38 Austria 2 1000 t 2023 unchanged rising
38 Belarus 2 1000 t 2023 up 100.0% rising
38 Switzerland 2 1000 t 2023 up 100.0% rising
38 Chile 2 1000 t 2023 up 100.0% rising
38 Czechia 2 1000 t 2023 up 100.0% rising
38 Egypt 2 1000 t 2023 up 100.0% rising
38 Indonesia 2 1000 t 2023 down 33.3% flat
38 Nigeria 2 1000 t 2023 unchanged flat
38 Bolivia (Plurinational State of) 2 1000 t 2023 up 100.0% rising
38 Syrian Arab Republic 2 1000 t 2023 up 100.0% rising
48 Afghanistan 1 1000 t 2023 unchanged flat
48 Angola 1 1000 t 2023 unchanged flat
48 Azerbaijan 1 1000 t 2023 volatile
48 Belgium 1 1000 t 2023 down 50.0% falling
48 Burkina Faso 1 1000 t 2023 unchanged flat
48 Bulgaria 1 1000 t 2023 volatile
48 Cameroon 1 1000 t 2023 volatile
48 Cuba 1 1000 t 2019 unchanged flat
48 Dominican Republic 1 1000 t 2023 volatile
48 Algeria 1 1000 t 2023 unchanged flat
48 Ethiopia 1 1000 t 2023 unchanged flat
48 Finland 1 1000 t 2023 unchanged flat
48 Greece 1 1000 t 2023 volatile
48 Guatemala 1 1000 t 2023 unchanged flat
48 Hungary 1 1000 t 2023 unchanged flat
48 Kazakhstan 1 1000 t 2023 unchanged flat
48 Kenya 1 1000 t 2023 down 50.0% falling
48 Kyrgyzstan 1 1000 t 2023 volatile
48 Cambodia 1 1000 t 2023 unchanged flat
48 Morocco 1 1000 t 2023 unchanged volatile
48 Myanmar 1 1000 t 2023 down 66.7% falling
48 Mongolia 1 1000 t 2023 unchanged volatile
48 Malawi 1 1000 t 2023 volatile
48 Nicaragua 1 1000 t 2023 volatile
48 Norway 1 1000 t 2023 volatile
48 Paraguay 1 1000 t 2023 unchanged rising
48 Tajikistan 1 1000 t 2023 volatile
48 Turkmenistan 1 1000 t 2023 unchanged flat
48 Uganda 1 1000 t 2023 unchanged flat
48 Ukraine 1 1000 t 2023 unchanged flat
48 Yemen 1 1000 t 2023 unchanged flat
48 Zambia 1 1000 t 2023 unchanged flat
48 Zimbabwe 1 1000 t 2023 volatile
48 Caribbean 1 1000 t 2023 down 50.0% falling
48 Venezuela (Bolivarian Republic of) 1 1000 t 2023 down 50.0% falling
48 Lao People's Democratic Republic 1 1000 t 2023 volatile
48 United Republic of Tanzania 1 1000 t 2023 unchanged flat
48 Democratic People's Republic of Korea 1 1000 t 2018 volatile
86 Albania 0 1000 t 2023 flat
86 United Arab Emirates 0 1000 t 2023 flat
86 Armenia 0 1000 t 2023 flat
86 Antigua and Barbuda 0 1000 t 2023 flat
86 Bahrain 0 1000 t 2023 flat
86 Bahamas 0 1000 t 2023 flat
86 Bosnia and Herzegovina 0 1000 t 2023 flat
86 Belize 0 1000 t 2023 flat
86 Barbados 0 1000 t 2023 flat
86 Bhutan 0 1000 t 2023 flat
86 Botswana 0 1000 t 2023 flat
86 Congo 0 1000 t 2023 flat
86 Comoros 0 1000 t 2023 flat
86 Costa Rica 0 1000 t 2023 flat
86 Cyprus 0 1000 t 2023 flat
86 Djibouti 0 1000 t 2023 flat
86 Estonia 0 1000 t 2023 flat
86 Fiji 0 1000 t 2023 flat
86 Gabon 0 1000 t 2023 flat
86 Georgia 0 1000 t 2023 flat
86 Ghana 0 1000 t 2023 flat
86 Guinea 0 1000 t 2023 flat
86 Gambia 0 1000 t 2023 flat
86 Guinea-Bissau 0 1000 t 2023 flat
86 Grenada 0 1000 t 2023 flat
86 Guyana 0 1000 t 2023 flat
86 Honduras 0 1000 t 2023 flat
86 Croatia 0 1000 t 2023 flat
86 Haiti 0 1000 t 2023 flat
86 Iraq 0 1000 t 2023 flat
86 Iceland 0 1000 t 2023 flat
86 Israel 0 1000 t 2023 volatile
86 Jamaica 0 1000 t 2023 flat
86 Jordan 0 1000 t 2023 flat
86 Kiribati 0 1000 t 2023 flat
86 Saint Kitts and Nevis 0 1000 t 2023 flat
86 Kuwait 0 1000 t 2023 flat
86 Lebanon 0 1000 t 2023 flat
86 Liberia 0 1000 t 2023 flat
86 Libya 0 1000 t 2023 flat
86 Saint Lucia 0 1000 t 2023 flat
86 Sri Lanka 0 1000 t 2023 flat
86 Lesotho 0 1000 t 2023 flat
86 Lithuania 0 1000 t 2023 flat
86 Luxembourg 0 1000 t 2023 flat
86 Latvia 0 1000 t 2023 flat
86 Madagascar 0 1000 t 2023 down 100.0% volatile
86 Marshall Islands 0 1000 t 2023 flat
86 North Macedonia 0 1000 t 2023 flat
86 Malta 0 1000 t 2023 flat
86 Montenegro 0 1000 t 2023 flat
86 Mozambique 0 1000 t 2023 volatile
86 Mauritania 0 1000 t 2023 flat
86 Mauritius 0 1000 t 2023 flat
86 Namibia 0 1000 t 2023 flat
86 New Caledonia 0 1000 t 2023 flat
86 Niger 0 1000 t 2023 flat
86 Nepal 0 1000 t 2023 down 100.0% volatile
86 Nauru 0 1000 t 2023 flat
86 Oman 0 1000 t 2023 flat
86 Panama 0 1000 t 2023 flat
86 Papua New Guinea 0 1000 t 2023 flat
86 French Polynesia 0 1000 t 2023 flat
86 Qatar 0 1000 t 2023 flat
86 Romania 0 1000 t 2023 volatile
86 Rwanda 0 1000 t 2023 flat
86 Senegal 0 1000 t 2023 flat
86 Solomon Islands 0 1000 t 2023 flat
86 Sierra Leone 0 1000 t 2023 flat
86 El Salvador 0 1000 t 2023 flat
86 Serbia 0 1000 t 2023 flat
86 Sao Tome and Principe 0 1000 t 2023 flat
86 Suriname 0 1000 t 2023 flat
86 Slovakia 0 1000 t 2023 volatile
86 Slovenia 0 1000 t 2023 volatile
86 Sweden 0 1000 t 2023 flat
86 Eswatini 0 1000 t 2023 flat
86 Seychelles 0 1000 t 2023 flat
86 Tonga 0 1000 t 2023 flat
86 Trinidad and Tobago 0 1000 t 2023 flat
86 Tunisia 0 1000 t 2023 flat
86 Tuvalu 0 1000 t 2023 flat
86 Saint Vincent and the Grenadines 0 1000 t 2023 flat
86 Vanuatu 0 1000 t 2023 flat
86 Samoa 0 1000 t 2023 flat
86 Micronesia 0 1000 t 2023 flat
86 Timor-Leste 0 1000 t 2023 flat
86 Cabo Verde 0 1000 t 2023 flat
86 Melanesia 0 1000 t 2023 flat
86 Polynesia 0 1000 t 2023 flat
86 Democratic Republic of the Congo 0 1000 t 2023 flat
86 China, Hong Kong SAR 0 1000 t 2023 flat
86 Republic of Moldova 0 1000 t 2023 flat
86 Côte d'Ivoire 0 1000 t 2023 flat
86 Micronesia (Federated States of) 0 1000 t 2023 flat
86 China, Macao SAR 0 1000 t 2023 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
Fats, Animals, Raw — Losses
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
212 places, 2,807 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.