Bovine Meat — Residuals 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
182
Highest
26 1000 t
Guatemala
Lowest
-67 1000 t
China, mainland
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,901

What the numbers show

Bovine Meat — Residuals is currently reported for 182 countries. The highest value is 26 1000 t in Guatemala; the lowest is -67 1000 t in China, mainland.

The median across all reporting countries is 0 1000 t, and the mean is -1.14 1000 t.

Over the past decade 7 countries rose and 9 fell. The largest increase was in Botswana (up 100.0%), and the largest decrease in Poland (down 900.0%).

Bovine Meat — Residuals: full country ranking

#Country LatestYear 10-year changeTrend
1 Guatemala 26 1000 t 2023 volatile
2 Afghanistan 0 1000 t 2023 flat
2 Angola 0 1000 t 2023 flat
2 Albania 0 1000 t 2023 flat
2 Argentina 0 1000 t 2023 volatile
2 Armenia 0 1000 t 2023 flat
2 Antigua and Barbuda 0 1000 t 2023 volatile
2 Australia 0 1000 t 2023 volatile
2 Austria 0 1000 t 2023 flat
2 Azerbaijan 0 1000 t 2023 down 100.0% volatile
2 Burkina Faso 0 1000 t 2023 flat
2 Bulgaria 0 1000 t 2023 flat
2 Bahrain 0 1000 t 2023 flat
2 Bahamas 0 1000 t 2023 flat
2 Bosnia and Herzegovina 0 1000 t 2023 volatile
2 Belarus 0 1000 t 2023 flat
2 Belize 0 1000 t 2023 flat
2 Brazil 0 1000 t 2023 flat
2 Barbados 0 1000 t 2023 flat
2 Bhutan 0 1000 t 2023 flat
2 Botswana 0 1000 t 2023 up 100.0% volatile
2 Canada 0 1000 t 2023 flat
2 Switzerland 0 1000 t 2023 flat
2 Chile 0 1000 t 2023 volatile
2 Cameroon 0 1000 t 2023 volatile
2 Congo 0 1000 t 2023 flat
2 Colombia 0 1000 t 2023 flat
2 Comoros 0 1000 t 2023 flat
2 Costa Rica 0 1000 t 2023 volatile
2 Cuba 0 1000 t 2019 flat
2 Cyprus 0 1000 t 2023 flat
2 Czechia 0 1000 t 2023 volatile
2 Djibouti 0 1000 t 2023 flat
2 Dominican Republic 0 1000 t 2023 flat
2 Algeria 0 1000 t 2023 flat
2 Ecuador 0 1000 t 2023 flat
2 Egypt 0 1000 t 2023 flat
2 Estonia 0 1000 t 2023 flat
2 Ethiopia 0 1000 t 2023 flat
2 Finland 0 1000 t 2023 flat
2 Fiji 0 1000 t 2023 flat
2 Gabon 0 1000 t 2023 flat
2 Georgia 0 1000 t 2023 down 100.0% volatile
2 Ghana 0 1000 t 2023 flat
2 Guinea 0 1000 t 2023 flat
2 Gambia 0 1000 t 2023 flat
2 Guinea-Bissau 0 1000 t 2023 flat
2 Greece 0 1000 t 2023 down 100.0% volatile
2 Grenada 0 1000 t 2023 flat
2 Guyana 0 1000 t 2023 flat
2 Honduras 0 1000 t 2023 flat
2 Croatia 0 1000 t 2023 flat
2 Haiti 0 1000 t 2023 flat
2 Hungary 0 1000 t 2023 up 100.0% volatile
2 Iraq 0 1000 t 2023 flat
2 Iceland 0 1000 t 2023 flat
2 Israel 0 1000 t 2023 volatile
2 Italy 0 1000 t 2023 volatile
2 Jamaica 0 1000 t 2023 flat
2 Jordan 0 1000 t 2023 volatile
2 Kazakhstan 0 1000 t 2023 flat
2 Kenya 0 1000 t 2023 up 100.0% volatile
2 Kyrgyzstan 0 1000 t 2023 down 100.0% volatile
2 Cambodia 0 1000 t 2023 flat
2 Kiribati 0 1000 t 2023 flat
2 Saint Kitts and Nevis 0 1000 t 2023 flat
2 Kuwait 0 1000 t 2023 flat
2 Lebanon 0 1000 t 2023 volatile
2 Liberia 0 1000 t 2023 flat
2 Libya 0 1000 t 2023 flat
2 Saint Lucia 0 1000 t 2023 flat
2 Sri Lanka 0 1000 t 2023 volatile
2 Lesotho 0 1000 t 2023 flat
2 Lithuania 0 1000 t 2023 flat
2 Luxembourg 0 1000 t 2023 volatile
2 Latvia 0 1000 t 2023 flat
2 Madagascar 0 1000 t 2023 flat
2 Maldives 0 1000 t 2023 volatile
2 Mexico 0 1000 t 2023 flat
2 Marshall Islands 0 1000 t 2023 flat
2 North Macedonia 0 1000 t 2023 flat
2 Malta 0 1000 t 2023 flat
2 Myanmar 0 1000 t 2023 volatile
2 Montenegro 0 1000 t 2023 flat
2 Mongolia 0 1000 t 2023 volatile
2 Mozambique 0 1000 t 2023 flat
2 Mauritania 0 1000 t 2023 flat
2 Mauritius 0 1000 t 2023 flat
2 Malawi 0 1000 t 2023 flat
2 Malaysia 0 1000 t 2023 flat
2 Namibia 0 1000 t 2023 flat
2 New Caledonia 0 1000 t 2023 volatile
2 Niger 0 1000 t 2023 flat
2 Nigeria 0 1000 t 2023 flat
2 Nicaragua 0 1000 t 2023 volatile
2 Norway 0 1000 t 2023 flat
2 Nepal 0 1000 t 2023 flat
2 Nauru 0 1000 t 2023 flat
2 New Zealand 0 1000 t 2023 volatile
2 Oman 0 1000 t 2023 flat
2 Pakistan 0 1000 t 2023 flat
2 Panama 0 1000 t 2023 volatile
2 Peru 0 1000 t 2023 flat
2 Philippines 0 1000 t 2023 volatile
2 Papua New Guinea 0 1000 t 2023 flat
2 Portugal 0 1000 t 2023 down 100.0% volatile
2 French Polynesia 0 1000 t 2023 volatile
2 Qatar 0 1000 t 2023 flat
2 Romania 0 1000 t 2023 volatile
2 Rwanda 0 1000 t 2023 up 100.0% volatile
2 Saudi Arabia 0 1000 t 2023 volatile
2 Senegal 0 1000 t 2023 up 100.0% volatile
2 Solomon Islands 0 1000 t 2023 flat
2 Sierra Leone 0 1000 t 2023 flat
2 El Salvador 0 1000 t 2023 flat
2 Serbia 0 1000 t 2023 flat
2 Sao Tome and Principe 0 1000 t 2023 flat
2 Suriname 0 1000 t 2023 flat
2 Slovakia 0 1000 t 2023 flat
2 Slovenia 0 1000 t 2023 flat
2 Sweden 0 1000 t 2023 flat
2 Eswatini 0 1000 t 2023 flat
2 Seychelles 0 1000 t 2023 flat
2 Thailand 0 1000 t 2023 flat
2 Tajikistan 0 1000 t 2023 flat
2 Turkmenistan 0 1000 t 2023 flat
2 Tonga 0 1000 t 2023 flat
2 Trinidad and Tobago 0 1000 t 2023 flat
2 Tunisia 0 1000 t 2023 flat
2 Tuvalu 0 1000 t 2023 flat
2 Uganda 0 1000 t 2023 up 100.0% volatile
2 Ukraine 0 1000 t 2023 volatile
2 Uruguay 0 1000 t 2023 volatile
2 Uzbekistan 0 1000 t 2023 flat
2 Saint Vincent and the Grenadines 0 1000 t 2023 flat
2 Vanuatu 0 1000 t 2023 flat
2 Samoa 0 1000 t 2023 flat
2 Yemen 0 1000 t 2023 flat
2 Zimbabwe 0 1000 t 2023 flat
2 Micronesia 0 1000 t 2023 flat
2 Timor-Leste 0 1000 t 2023 flat
2 Cabo Verde 0 1000 t 2023 flat
2 Melanesia 0 1000 t 2023 volatile
2 Polynesia 0 1000 t 2023 volatile
2 Democratic Republic of the Congo 0 1000 t 2023 flat
2 Caribbean 0 1000 t 2023 volatile
2 Bolivia (Plurinational State of) 0 1000 t 2023 flat
2 China, Hong Kong SAR 0 1000 t 2023 volatile
2 Republic of Korea 0 1000 t 2023 flat
2 Republic of Moldova 0 1000 t 2023 flat
2 Russian Federation 0 1000 t 2023 flat
2 Syrian Arab Republic 0 1000 t 2023 flat
2 Venezuela (Bolivarian Republic of) 0 1000 t 2023 flat
2 Viet Nam 0 1000 t 2023 volatile
2 Türkiye 0 1000 t 2023 flat
2 Australia and New Zealand 0 1000 t 2023 volatile
2 Côte d'Ivoire 0 1000 t 2023 flat
2 Lao People's Democratic Republic 0 1000 t 2023 flat
2 United Republic of Tanzania 0 1000 t 2023 volatile
2 China, Taiwan Province of 0 1000 t 2023 flat
2 Netherlands (Kingdom of the) 0 1000 t 2023 volatile
2 United Kingdom of Great Britain and Northern Ireland 0 1000 t 2023 flat
2 Democratic People's Republic of Korea 0 1000 t 2018 flat
2 Micronesia (Federated States of) 0 1000 t 2023 flat
2 China, Macao SAR 0 1000 t 2023 flat
166 Bangladesh -1 1000 t 2023 volatile
166 Germany -1 1000 t 2023 volatile
166 Denmark -1 1000 t 2023 volatile
166 India -1 1000 t 2023 volatile
166 Morocco -1 1000 t 2023 volatile
166 Zambia -1 1000 t 2023 volatile
166 Iran (Islamic Republic of) -1 1000 t 2023 up 50.0% volatile
173 Indonesia -2 1000 t 2023 volatile
173 Paraguay -2 1000 t 2023 volatile
175 United Arab Emirates -3 1000 t 2023 volatile
176 Spain -6 1000 t 2023 volatile
176 France -6 1000 t 2023 volatile
178 Belgium -8 1000 t 2023 volatile
179 Ireland -25 1000 t 2023 down 150.0% volatile
180 Poland -40 1000 t 2023 down 900.0% volatile
181 China -67 1000 t 2023 down 157.7% volatile
181 China, mainland -67 1000 t 2023 down 157.7% falling

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
Bovine Meat — Residuals
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
213 places, 2,901 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.