Pigmeat — 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...
What the numbers show
Pigmeat — Stock Variation is currently reported for 116 countries. The highest value is 200 1000 t in Vietnam; the lowest is -449 1000 t in China.
The median across all reporting countries is 0 1000 t, and the mean is -4.16 1000 t.
Over the past decade 18 countries rose and 34 fell. The largest increase was in Bulgaria (up 700.0%), and the largest decrease in Caribbean (down 2,800.0%).
Pigmeat — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Vietnam | 200 1000 t | 2023 | — | volatile |
| 1 | Viet Nam | 200 1000 t | 2023 | — | volatile |
| 3 | Germany | 72 1000 t | 2023 | — | volatile |
| 4 | Belgium | 63 1000 t | 2023 | down 35.7% | volatile |
| 5 | Philippines | 35 1000 t | 2023 | up 600.0% | volatile |
| 6 | Portugal | 34 1000 t | 2023 | up 580.0% | volatile |
| 7 | Romania | 28 1000 t | 2023 | — | volatile |
| 8 | Sweden | 20 1000 t | 2023 | — | volatile |
| 9 | Czechia | 19 1000 t | 2023 | — | volatile |
| 10 | Greece | 16 1000 t | 2023 | — | volatile |
| 11 | Bulgaria | 8 1000 t | 2023 | up 700.0% | volatile |
| 11 | Lithuania | 8 1000 t | 2023 | — | volatile |
| 13 | Italy | 5 1000 t | 2023 | — | volatile |
| 14 | Argentina | 3 1000 t | 2023 | unchanged | volatile |
| 14 | Hungary | 3 1000 t | 2023 | — | volatile |
| 14 | Indonesia | 3 1000 t | 2023 | up 105.0% | volatile |
| 17 | Georgia | 2 1000 t | 2023 | — | volatile |
| 18 | Cyprus | 1 1000 t | 2023 | — | volatile |
| 18 | India | 1 1000 t | 2023 | down 93.3% | flat |
| 18 | Cambodia | 1 1000 t | 2023 | — | volatile |
| 18 | Latvia | 1 1000 t | 2023 | — | flat |
| 18 | Poland | 1 1000 t | 2023 | up 116.7% | volatile |
| 18 | Slovakia | 1 1000 t | 2023 | up 200.0% | volatile |
| 18 | China, Macao SAR | 1 1000 t | 2023 | — | volatile |
| 25 | Angola | 0 1000 t | 2023 | down 100.0% | volatile |
| 25 | United Arab Emirates | 0 1000 t | 2023 | — | volatile |
| 25 | Australia | 0 1000 t | 2023 | down 100.0% | volatile |
| 25 | Austria | 0 1000 t | 2023 | — | volatile |
| 25 | Bahamas | 0 1000 t | 2023 | — | volatile |
| 25 | Belarus | 0 1000 t | 2023 | down 100.0% | volatile |
| 25 | Belize | 0 1000 t | 2023 | — | volatile |
| 25 | Brazil | 0 1000 t | 2023 | — | volatile |
| 25 | Switzerland | 0 1000 t | 2023 | — | volatile |
| 25 | Chile | 0 1000 t | 2023 | down 100.0% | volatile |
| 25 | Cote d'Ivoire | 0 1000 t | 2023 | — | volatile |
| 25 | Cameroon | 0 1000 t | 2023 | — | flat |
| 25 | Congo | 0 1000 t | 2023 | — | volatile |
| 25 | Colombia | 0 1000 t | 2023 | — | volatile |
| 25 | Costa Rica | 0 1000 t | 2023 | — | volatile |
| 25 | Ecuador | 0 1000 t | 2023 | — | volatile |
| 25 | Egypt | 0 1000 t | 2023 | — | volatile |
| 25 | Spain | 0 1000 t | 2023 | — | volatile |
| 25 | Estonia | 0 1000 t | 2023 | — | volatile |
| 25 | Finland | 0 1000 t | 2023 | up 100.0% | volatile |
| 25 | France | 0 1000 t | 2023 | up 100.0% | volatile |
| 25 | Ghana | 0 1000 t | 2023 | — | volatile |
| 25 | Guatemala | 0 1000 t | 2023 | up 100.0% | volatile |
| 25 | Honduras | 0 1000 t | 2023 | — | volatile |
| 25 | Croatia | 0 1000 t | 2023 | — | volatile |
| 25 | Ireland | 0 1000 t | 2023 | down 100.0% | volatile |
| 25 | Iceland | 0 1000 t | 2023 | — | volatile |
| 25 | Israel | 0 1000 t | 2023 | — | volatile |
| 25 | Jamaica | 0 1000 t | 2023 | — | volatile |
| 25 | Kazakhstan | 0 1000 t | 2023 | — | volatile |
| 25 | Kenya | 0 1000 t | 2023 | down 100.0% | volatile |
| 25 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 25 | Liberia | 0 1000 t | 2023 | — | volatile |
| 25 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 25 | Lesotho | 0 1000 t | 2023 | up 100.0% | volatile |
| 25 | Luxembourg | 0 1000 t | 2023 | down 100.0% | volatile |
| 25 | Moldova | 0 1000 t | 2023 | down 100.0% | volatile |
| 25 | Mexico | 0 1000 t | 2023 | up 100.0% | volatile |
| 25 | North Macedonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 25 | Myanmar | 0 1000 t | 2023 | — | volatile |
| 25 | Montenegro | 0 1000 t | 2023 | up 100.0% | volatile |
| 25 | Mozambique | 0 1000 t | 2023 | down 100.0% | volatile |
| 25 | Malawi | 0 1000 t | 2023 | down 100.0% | volatile |
| 25 | Namibia | 0 1000 t | 2023 | — | volatile |
| 25 | New Caledonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 25 | Nigeria | 0 1000 t | 2023 | up 100.0% | volatile |
| 25 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 25 | Norway | 0 1000 t | 2023 | — | volatile |
| 25 | Nepal | 0 1000 t | 2023 | — | volatile |
| 25 | New Zealand | 0 1000 t | 2023 | — | volatile |
| 25 | Panama | 0 1000 t | 2023 | down 100.0% | volatile |
| 25 | Papua New Guinea | 0 1000 t | 2023 | — | volatile |
| 25 | French Polynesia | 0 1000 t | 2023 | — | volatile |
| 25 | Russia | 0 1000 t | 2023 | — | volatile |
| 25 | Rwanda | 0 1000 t | 2023 | down 100.0% | volatile |
| 25 | Senegal | 0 1000 t | 2023 | up 100.0% | volatile |
| 25 | Sierra Leone | 0 1000 t | 2023 | — | volatile |
| 25 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 25 | Serbia | 0 1000 t | 2023 | up 100.0% | volatile |
| 25 | Suriname | 0 1000 t | 2023 | — | volatile |
| 25 | Slovenia | 0 1000 t | 2023 | — | volatile |
| 25 | Eswatini | 0 1000 t | 2023 | — | volatile |
| 25 | Tajikistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 25 | Ukraine | 0 1000 t | 2023 | down 100.0% | volatile |
| 25 | Uzbekistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 25 | South Africa | 0 1000 t | 2023 | down 100.0% | volatile |
| 25 | Zimbabwe | 0 1000 t | 2023 | up 100.0% | volatile |
| 25 | Melanesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 25 | Polynesia | 0 1000 t | 2023 | — | volatile |
| 25 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | volatile |
| 25 | Republic of Korea | 0 1000 t | 2023 | — | volatile |
| 25 | Republic of Moldova | 0 1000 t | 2023 | down 100.0% | volatile |
| 25 | Russian Federation | 0 1000 t | 2023 | — | volatile |
| 25 | Australia and New Zealand | 0 1000 t | 2023 | down 100.0% | volatile |
| 25 | Côte d'Ivoire | 0 1000 t | 2023 | — | volatile |
| 25 | United Republic of Tanzania | 0 1000 t | 2023 | down 100.0% | flat |
| 25 | China, Taiwan Province of | 0 1000 t | 2023 | up 100.0% | volatile |
| 25 | Democratic People's Republic of Korea | 0 1000 t | 2018 | up 100.0% | volatile |
| 178 | Laos | -1 1000 t | 2023 | down 150.0% | volatile |
| 178 | Thailand | -1 1000 t | 2023 | down 103.0% | volatile |
| 178 | Lao People's Democratic Republic | -1 1000 t | 2023 | down 150.0% | volatile |
| 181 | Mongolia | -5 1000 t | 2023 | — | volatile |
| 182 | Canada | -9 1000 t | 2023 | down 400.0% | volatile |
| 183 | China, Hong Kong SAR | -18 1000 t | 2023 | down 38.5% | volatile |
| 184 | United Kingdom | -21 1000 t | 2023 | — | volatile |
| 184 | United Kingdom of Great Britain and Northern Ireland | -21 1000 t | 2023 | — | volatile |
| 186 | Caribbean | -29 1000 t | 2023 | down 2,800.0% | volatile |
| 187 | Denmark | -30 1000 t | 2023 | down 400.0% | volatile |
| 188 | United States | -49 1000 t | 2023 | — | volatile |
| 189 | Netherlands (Kingdom of the) | -143 1000 t | 2023 | down 2,483.3% | volatile |
| 190 | China, mainland | -432 1000 t | 2023 | down 109.8% | volatile |
| 191 | China | -449 1000 t | 2023 | down 110.2% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- South-Eastern Asia 237 1000 t
- European Union (27) 108 1000 t
- Europe 87 1000 t
- Eastern Europe 60 1000 t
- Southern Europe 55 1000 t
- South America 3 1000 t
- Western Asia 3 1000 t
- Africa 1 1000 t
- Least Developed Countries (LDCs) 1 1000 t
- Southern Asia 1 1000 t
- Oceania 0 1000 t
- Central Asia 0 1000 t
- Eastern Africa 0 1000 t
- Northern Africa 0 1000 t
- Southern Africa 0 1000 t
- Western Africa 0 1000 t
- Central America 0 1000 t
- Middle Africa 0 1000 t
- Low Income Food Deficit Countries (LIFDCs) 0 1000 t
- Land Locked Developing Countries (LLDCs) -5 1000 t
- Western Europe -7 1000 t
- Northern Europe -21 1000 t
- Small island developing States (SIDS) -29 1000 t
- Net Food Importing Developing Countries (NFIDCs) -34 1000 t
- United States of America -49 1000 t
- Northern America -58 1000 t
- Americas -84 1000 t
- World -206 1000 t
- Asia -210 1000 t
- Eastern Asia -450 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.