Meat — Stock Variation 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
171
Highest
207 1000 t
Germany
Lowest
-368 1000 t
China
Median
0 1000 t
Years covered
14
2010–2023
Data points
3,042
What the numbers show
Meat — Stock Variation is currently reported for 171 countries. The highest value is 207 1000 t in Germany; the lowest is -368 1000 t in China.
The median across all reporting countries is 0 1000 t, and the mean is 1.32 1000 t.
Over the past decade 51 countries rose and 63 fell. The largest increase was in Lithuania (up 2,200.0%), and the largest decrease in Netherlands (Kingdom of the) (down 2,200.0%).
Meat — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Germany | 207 1000 t | 2023 | — | volatile |
| 2 | Vietnam | 206 1000 t | 2023 | — | volatile |
| 2 | Viet Nam | 206 1000 t | 2023 | — | volatile |
| 4 | Portugal | 131 1000 t | 2023 | up 227.5% | volatile |
| 5 | France | 89 1000 t | 2023 | up 406.9% | volatile |
| 6 | Belgium | 88 1000 t | 2023 | — | volatile |
| 7 | Romania | 63 1000 t | 2023 | up 191.3% | volatile |
| 8 | Hungary | 53 1000 t | 2023 | — | volatile |
| 9 | Italy | 52 1000 t | 2023 | — | volatile |
| 9 | Philippines | 52 1000 t | 2023 | down 24.6% | volatile |
| 11 | Canada | 39 1000 t | 2023 | up 1,850.0% | volatile |
| 12 | Czechia | 37 1000 t | 2023 | — | volatile |
| 13 | Kyrgyzstan | 31 1000 t | 2023 | up 875.0% | volatile |
| 14 | Austria | 26 1000 t | 2023 | up 471.4% | volatile |
| 14 | Greece | 26 1000 t | 2023 | — | volatile |
| 16 | Azerbaijan | 25 1000 t | 2023 | up 933.3% | volatile |
| 17 | Finland | 22 1000 t | 2023 | up 633.3% | volatile |
| 18 | Croatia | 21 1000 t | 2023 | — | volatile |
| 18 | Lithuania | 21 1000 t | 2023 | up 2,200.0% | volatile |
| 20 | Argentina | 18 1000 t | 2023 | up 350.0% | volatile |
| 20 | United Republic of Tanzania | 18 1000 t | 2023 | up 125.0% | volatile |
| 22 | Sweden | 14 1000 t | 2023 | — | volatile |
| 23 | Australia | 12 1000 t | 2023 | up 150.0% | volatile |
| 24 | Indonesia | 11 1000 t | 2023 | up 184.6% | volatile |
| 25 | Australia and New Zealand | 9 1000 t | 2023 | up 139.1% | volatile |
| 26 | Saudi Arabia | 8 1000 t | 2023 | up 172.7% | volatile |
| 26 | China, Macao SAR | 8 1000 t | 2023 | up 900.0% | volatile |
| 28 | Bulgaria | 7 1000 t | 2023 | up 240.0% | volatile |
| 28 | Cambodia | 7 1000 t | 2023 | down 41.7% | rising |
| 30 | Brazil | 6 1000 t | 2023 | up 20.0% | volatile |
| 30 | Namibia | 6 1000 t | 2023 | — | volatile |
| 32 | Estonia | 5 1000 t | 2023 | — | volatile |
| 32 | Guatemala | 5 1000 t | 2023 | up 113.5% | volatile |
| 32 | Rwanda | 5 1000 t | 2023 | down 16.7% | volatile |
| 35 | Kuwait | 4 1000 t | 2023 | up 180.0% | volatile |
| 35 | Ukraine | 4 1000 t | 2023 | down 60.0% | volatile |
| 35 | Polynesia | 4 1000 t | 2023 | up 300.0% | volatile |
| 35 | China, Taiwan Province of | 4 1000 t | 2023 | down 63.6% | volatile |
| 39 | Ethiopia | 3 1000 t | 2023 | down 87.0% | volatile |
| 39 | Pakistan | 3 1000 t | 2023 | down 62.5% | volatile |
| 39 | French Polynesia | 3 1000 t | 2023 | up 200.0% | volatile |
| 39 | Slovenia | 3 1000 t | 2023 | — | volatile |
| 43 | Colombia | 2 1000 t | 2023 | up 100.0% | volatile |
| 43 | Algeria | 2 1000 t | 2023 | down 90.5% | volatile |
| 43 | Georgia | 2 1000 t | 2023 | up 300.0% | volatile |
| 43 | Slovakia | 2 1000 t | 2023 | up 300.0% | volatile |
| 47 | Afghanistan | 1 1000 t | 2023 | down 50.0% | volatile |
| 47 | Cote d'Ivoire | 1 1000 t | 2023 | down 95.5% | volatile |
| 47 | Cyprus | 1 1000 t | 2023 | unchanged | volatile |
| 47 | India | 1 1000 t | 2023 | down 99.4% | volatile |
| 47 | Iraq | 1 1000 t | 2023 | up 120.0% | volatile |
| 47 | Niger | 1 1000 t | 2023 | up 105.3% | volatile |
| 47 | Norway | 1 1000 t | 2023 | down 75.0% | volatile |
| 47 | Oman | 1 1000 t | 2023 | down 90.0% | volatile |
| 47 | Turkey | 1 1000 t | 2023 | down 93.3% | volatile |
| 47 | Samoa | 1 1000 t | 2023 | — | volatile |
| 47 | Türkiye | 1 1000 t | 2023 | down 93.3% | volatile |
| 47 | Côte d'Ivoire | 1 1000 t | 2023 | down 95.5% | volatile |
| 59 | Angola | 0 1000 t | 2023 | down 100.0% | volatile |
| 59 | Armenia | 0 1000 t | 2023 | — | volatile |
| 59 | Antigua and Barbuda | 0 1000 t | 2023 | — | volatile |
| 59 | Burkina Faso | 0 1000 t | 2023 | down 100.0% | volatile |
| 59 | Bangladesh | 0 1000 t | 2023 | down 100.0% | volatile |
| 59 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 59 | Bahamas | 0 1000 t | 2023 | down 100.0% | volatile |
| 59 | Belarus | 0 1000 t | 2023 | down 100.0% | volatile |
| 59 | Belize | 0 1000 t | 2023 | — | volatile |
| 59 | Bhutan | 0 1000 t | 2023 | — | volatile |
| 59 | Switzerland | 0 1000 t | 2023 | — | volatile |
| 59 | Chile | 0 1000 t | 2023 | down 100.0% | volatile |
| 59 | Cameroon | 0 1000 t | 2023 | down 100.0% | volatile |
| 59 | Congo | 0 1000 t | 2023 | — | volatile |
| 59 | Comoros | 0 1000 t | 2023 | up 100.0% | volatile |
| 59 | Costa Rica | 0 1000 t | 2023 | down 100.0% | volatile |
| 59 | Dominican Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 59 | Ecuador | 0 1000 t | 2023 | — | volatile |
| 59 | Spain | 0 1000 t | 2023 | — | volatile |
| 59 | Ghana | 0 1000 t | 2023 | up 100.0% | volatile |
| 59 | Guinea | 0 1000 t | 2023 | down 100.0% | volatile |
| 59 | Gambia | 0 1000 t | 2023 | up 100.0% | flat |
| 59 | Honduras | 0 1000 t | 2023 | — | volatile |
| 59 | Haiti | 0 1000 t | 2023 | — | volatile |
| 59 | Iceland | 0 1000 t | 2023 | down 100.0% | volatile |
| 59 | Israel | 0 1000 t | 2023 | up 100.0% | volatile |
| 59 | Jordan | 0 1000 t | 2023 | up 100.0% | volatile |
| 59 | Kazakhstan | 0 1000 t | 2023 | down 100.0% | volatile |
| 59 | Kenya | 0 1000 t | 2023 | up 100.0% | volatile |
| 59 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | volatile |
| 59 | Lebanon | 0 1000 t | 2023 | — | volatile |
| 59 | Liberia | 0 1000 t | 2023 | — | volatile |
| 59 | Libya | 0 1000 t | 2023 | down 100.0% | volatile |
| 59 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 59 | Sri Lanka | 0 1000 t | 2023 | down 100.0% | volatile |
| 59 | Lesotho | 0 1000 t | 2023 | — | volatile |
| 59 | Luxembourg | 0 1000 t | 2023 | — | volatile |
| 59 | Morocco | 0 1000 t | 2023 | up 100.0% | volatile |
| 59 | Moldova | 0 1000 t | 2023 | down 100.0% | volatile |
| 59 | Madagascar | 0 1000 t | 2023 | up 100.0% | volatile |
| 59 | Maldives | 0 1000 t | 2023 | down 100.0% | volatile |
| 59 | Mexico | 0 1000 t | 2023 | up 100.0% | volatile |
| 59 | Marshall Islands | 0 1000 t | 2023 | — | volatile |
| 59 | North Macedonia | 0 1000 t | 2023 | — | volatile |
| 59 | Malta | 0 1000 t | 2023 | up 100.0% | volatile |
| 59 | Myanmar | 0 1000 t | 2023 | — | volatile |
| 59 | Montenegro | 0 1000 t | 2023 | up 100.0% | volatile |
| 59 | Mozambique | 0 1000 t | 2023 | down 100.0% | volatile |
| 59 | Mauritania | 0 1000 t | 2023 | down 100.0% | volatile |
| 59 | Mauritius | 0 1000 t | 2023 | up 100.0% | volatile |
| 59 | Malawi | 0 1000 t | 2023 | down 100.0% | volatile |
| 59 | Malaysia | 0 1000 t | 2023 | — | flat |
| 59 | New Caledonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 59 | Nigeria | 0 1000 t | 2023 | up 100.0% | volatile |
| 59 | Nicaragua | 0 1000 t | 2023 | down 100.0% | volatile |
| 59 | Nepal | 0 1000 t | 2023 | — | volatile |
| 59 | Panama | 0 1000 t | 2023 | down 100.0% | volatile |
| 59 | Peru | 0 1000 t | 2023 | — | volatile |
| 59 | Papua New Guinea | 0 1000 t | 2023 | down 100.0% | volatile |
| 59 | Paraguay | 0 1000 t | 2023 | — | flat |
| 59 | Senegal | 0 1000 t | 2023 | down 100.0% | volatile |
| 59 | Solomon Islands | 0 1000 t | 2023 | down 100.0% | flat |
| 59 | Sierra Leone | 0 1000 t | 2023 | up 100.0% | volatile |
| 59 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 59 | Serbia | 0 1000 t | 2023 | up 100.0% | volatile |
| 59 | Sao Tome and Principe | 0 1000 t | 2023 | — | volatile |
| 59 | Suriname | 0 1000 t | 2023 | — | flat |
| 59 | Eswatini | 0 1000 t | 2023 | down 100.0% | volatile |
| 59 | Syria | 0 1000 t | 2023 | down 100.0% | volatile |
| 59 | Thailand | 0 1000 t | 2023 | down 100.0% | volatile |
| 59 | Tajikistan | 0 1000 t | 2023 | up 100.0% | volatile |
| 59 | Turkmenistan | 0 1000 t | 2023 | up 100.0% | volatile |
| 59 | Tunisia | 0 1000 t | 2023 | — | volatile |
| 59 | Uruguay | 0 1000 t | 2023 | up 100.0% | volatile |
| 59 | Uzbekistan | 0 1000 t | 2023 | up 100.0% | volatile |
| 59 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 59 | South Africa | 0 1000 t | 2023 | down 100.0% | volatile |
| 59 | Zambia | 0 1000 t | 2023 | down 100.0% | volatile |
| 59 | Zimbabwe | 0 1000 t | 2023 | up 100.0% | volatile |
| 59 | Micronesia | 0 1000 t | 2023 | — | volatile |
| 59 | Melanesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 59 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | volatile |
| 59 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | volatile |
| 59 | Iran (Islamic Republic of) | 0 1000 t | 2023 | up 100.0% | volatile |
| 59 | Republic of Korea | 0 1000 t | 2023 | down 100.0% | volatile |
| 59 | Republic of Moldova | 0 1000 t | 2023 | down 100.0% | volatile |
| 59 | Syrian Arab Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 59 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 170 | Botswana | -1 1000 t | 2023 | — | volatile |
| 170 | Laos | -1 1000 t | 2023 | down 133.3% | volatile |
| 170 | Lao People's Democratic Republic | -1 1000 t | 2023 | down 133.3% | volatile |
| 170 | Democratic People's Republic of Korea | -1 1000 t | 2018 | up 94.4% | volatile |
| 174 | Jamaica | -2 1000 t | 2023 | up 60.0% | volatile |
| 175 | Latvia | -3 1000 t | 2023 | — | volatile |
| 175 | New Zealand | -3 1000 t | 2023 | down 400.0% | volatile |
| 177 | Russia | -7 1000 t | 2023 | — | volatile |
| 177 | Russian Federation | -7 1000 t | 2023 | — | volatile |
| 179 | Egypt | -11 1000 t | 2023 | down 168.8% | volatile |
| 180 | Qatar | -15 1000 t | 2023 | — | volatile |
| 181 | Cuba | -20 1000 t | 2019 | — | volatile |
| 181 | Denmark | -20 1000 t | 2023 | down 164.5% | volatile |
| 183 | Mongolia | -26 1000 t | 2023 | down 750.0% | volatile |
| 184 | United Kingdom | -29 1000 t | 2023 | — | volatile |
| 184 | United Kingdom of Great Britain and Northern Ireland | -29 1000 t | 2023 | — | volatile |
| 186 | China, Hong Kong SAR | -30 1000 t | 2023 | down 650.0% | volatile |
| 187 | Caribbean | -32 1000 t | 2023 | down 900.0% | volatile |
| 188 | Poland | -39 1000 t | 2023 | up 62.5% | volatile |
| 189 | Ireland | -64 1000 t | 2023 | down 1,380.0% | volatile |
| 190 | United Arab Emirates | -67 1000 t | 2023 | down 272.2% | volatile |
| 191 | United States | -104 1000 t | 2023 | — | volatile |
| 192 | Netherlands (Kingdom of the) | -126 1000 t | 2023 | down 2,200.0% | volatile |
| 193 | China, mainland | -350 1000 t | 2023 | down 106.6% | volatile |
| 194 | China | -368 1000 t | 2023 | down 107.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- European Union (27) 617 1000 t
- Europe 585 1000 t
- World 445 1000 t
- Western Europe 284 1000 t
- South-Eastern Asia 275 1000 t
- Southern Europe 233 1000 t
- Eastern Europe 121 1000 t
- Low Income Food Deficit Countries (LIFDCs) 60 1000 t
- Land Locked Developing Countries (LLDCs) 38 1000 t
- Least Developed Countries (LDCs) 35 1000 t
- Central Asia 31 1000 t
- Africa 26 1000 t
- South America 26 1000 t
- Eastern Africa 26 1000 t
- Oceania 13 1000 t
- Southern Africa 6 1000 t
- Central America 5 1000 t
- Southern Asia 5 1000 t
- Western Africa 3 1000 t
- Middle Africa 0 1000 t
- Northern Africa -9 1000 t
- Net Food Importing Developing Countries (NFIDCs) -23 1000 t
- Small island developing States (SIDS) -28 1000 t
- Western Asia -40 1000 t
- Northern Europe -53 1000 t
- Americas -65 1000 t
- Northern America -65 1000 t
- United States of America -104 1000 t
- Asia -114 1000 t
- Eastern Asia -386 1000 t
About this data
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.