Pigmeat — Export quantity 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 — Export quantity is currently reported for 97 countries. The highest value is 3,097 1000 t in United States; the lowest is 0 1000 t in Venezuela (Bolivarian Republic of).
The median across all reporting countries is 8 1000 t, and the mean is 185.76 1000 t.
Over the past decade 39 countries rose and 27 fell. The largest increase was in Paraguay (up 900.0%), and the largest decrease in Israel (down 100.0%).
Pigmeat — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | United States | 3,097 1000 t | 2023 | up 33.8% | rising |
| 2 | Spain | 2,513 1000 t | 2023 | up 95.1% | rising |
| 3 | Germany | 1,828 1000 t | 2023 | down 24.1% | falling |
| 4 | Brazil | 1,764 1000 t | 2023 | up 133.0% | rising |
| 5 | Canada | 1,390 1000 t | 2023 | up 10.1% | rising |
| 6 | Netherlands (Kingdom of the) | 1,324 1000 t | 2023 | up 37.8% | rising |
| 7 | Denmark | 1,125 1000 t | 2023 | down 22.3% | falling |
| 8 | Belgium | 749 1000 t | 2023 | down 14.4% | falling |
| 9 | France | 553 1000 t | 2023 | down 10.5% | falling |
| 10 | Poland | 461 1000 t | 2023 | down 28.7% | rising |
| 11 | Italy | 335 1000 t | 2023 | up 22.3% | rising |
| 12 | Austria | 280 1000 t | 2023 | down 0.7% | flat |
| 13 | Mexico | 264 1000 t | 2023 | up 107.9% | rising |
| 14 | Ireland | 233 1000 t | 2023 | up 17.7% | rising |
| 15 | Hungary | 202 1000 t | 2023 | up 10.4% | rising |
| 16 | United Kingdom | 179 1000 t | 2023 | down 25.4% | rising |
| 16 | United Kingdom of Great Britain and Northern Ireland | 179 1000 t | 2023 | down 25.4% | rising |
| 18 | China | 162 1000 t | 2023 | down 62.4% | falling |
| 19 | China, mainland | 132 1000 t | 2023 | down 52.7% | falling |
| 20 | Czechia | 115 1000 t | 2023 | up 13.9% | rising |
| 21 | Russia | 100 1000 t | 2023 | up 56.2% | volatile |
| 21 | Russian Federation | 100 1000 t | 2023 | up 56.2% | volatile |
| 23 | Chile | 86 1000 t | 2023 | down 46.9% | rising |
| 24 | Australia and New Zealand | 57 1000 t | 2023 | up 29.5% | rising |
| 25 | Slovenia | 56 1000 t | 2023 | up 180.0% | rising |
| 26 | Australia | 55 1000 t | 2023 | up 27.9% | rising |
| 27 | Portugal | 54 1000 t | 2023 | down 40.0% | falling |
| 27 | Slovakia | 54 1000 t | 2023 | up 45.9% | rising |
| 29 | Romania | 52 1000 t | 2023 | up 15.6% | rising |
| 30 | Turkey | 35 1000 t | 2023 | up 105.9% | rising |
| 30 | Türkiye | 35 1000 t | 2023 | up 105.9% | rising |
| 32 | Estonia | 34 1000 t | 2023 | up 6.2% | rising |
| 33 | Finland | 33 1000 t | 2023 | down 13.2% | falling |
| 33 | Sweden | 33 1000 t | 2023 | up 17.9% | falling |
| 35 | Croatia | 30 1000 t | 2023 | up 150.0% | rising |
| 36 | Latvia | 27 1000 t | 2023 | up 50.0% | rising |
| 36 | South Africa | 27 1000 t | 2023 | up 8.0% | rising |
| 36 | China, Hong Kong SAR | 27 1000 t | 2023 | down 81.8% | volatile |
| 39 | Lithuania | 21 1000 t | 2023 | down 32.3% | flat |
| 40 | Bulgaria | 20 1000 t | 2023 | up 100.0% | rising |
| 40 | Greece | 20 1000 t | 2023 | up 122.2% | rising |
| 42 | Belarus | 18 1000 t | 2023 | down 90.1% | volatile |
| 43 | Serbia | 17 1000 t | 2023 | up 54.5% | rising |
| 44 | Guatemala | 14 1000 t | 2023 | up 7.7% | rising |
| 45 | Costa Rica | 11 1000 t | 2023 | up 10.0% | rising |
| 45 | Vietnam | 11 1000 t | 2023 | up 10.0% | rising |
| 45 | Viet Nam | 11 1000 t | 2023 | up 10.0% | rising |
| 48 | Paraguay | 10 1000 t | 2023 | up 900.0% | volatile |
| 49 | Switzerland | 8 1000 t | 2023 | up 300.0% | volatile |
| 49 | Thailand | 8 1000 t | 2023 | down 63.6% | flat |
| 51 | Georgia | 5 1000 t | 2023 | — | volatile |
| 51 | Luxembourg | 5 1000 t | 2023 | unchanged | rising |
| 51 | Montenegro | 5 1000 t | 2023 | up 150.0% | volatile |
| 51 | Republic of Korea | 5 1000 t | 2023 | up 66.7% | volatile |
| 55 | Caribbean | 4 1000 t | 2023 | up 100.0% | volatile |
| 56 | Bosnia and Herzegovina | 3 1000 t | 2023 | unchanged | falling |
| 56 | Colombia | 3 1000 t | 2023 | — | volatile |
| 56 | North Macedonia | 3 1000 t | 2023 | down 62.5% | falling |
| 56 | Malaysia | 3 1000 t | 2023 | down 70.0% | falling |
| 56 | Norway | 3 1000 t | 2023 | down 50.0% | falling |
| 56 | Ukraine | 3 1000 t | 2023 | down 66.7% | volatile |
| 56 | China, Taiwan Province of | 3 1000 t | 2023 | unchanged | rising |
| 63 | Argentina | 2 1000 t | 2023 | up 100.0% | volatile |
| 63 | Kenya | 2 1000 t | 2023 | down 33.3% | falling |
| 63 | New Zealand | 2 1000 t | 2023 | up 100.0% | rising |
| 63 | Philippines | 2 1000 t | 2023 | down 33.3% | falling |
| 63 | Trinidad and Tobago | 2 1000 t | 2023 | up 100.0% | rising |
| 68 | Armenia | 1 1000 t | 2023 | — | volatile |
| 68 | Cyprus | 1 1000 t | 2023 | unchanged | volatile |
| 68 | Fiji | 1 1000 t | 2023 | — | volatile |
| 68 | Honduras | 1 1000 t | 2023 | — | volatile |
| 68 | Jamaica | 1 1000 t | 2023 | unchanged | volatile |
| 68 | Kazakhstan | 1 1000 t | 2023 | — | volatile |
| 68 | Kyrgyzstan | 1 1000 t | 2023 | — | volatile |
| 68 | Namibia | 1 1000 t | 2023 | — | volatile |
| 68 | El Salvador | 1 1000 t | 2023 | down 66.7% | falling |
| 68 | Suriname | 1 1000 t | 2023 | — | volatile |
| 68 | Uzbekistan | 1 1000 t | 2023 | — | volatile |
| 68 | Samoa | 1 1000 t | 2021 | — | volatile |
| 68 | Zambia | 1 1000 t | 2023 | — | volatile |
| 68 | Melanesia | 1 1000 t | 2023 | — | volatile |
| 68 | Polynesia | 1 1000 t | 2021 | — | volatile |
| 83 | United Arab Emirates | 0 1000 t | 2023 | — | volatile |
| 83 | Barbados | 0 1000 t | 2023 | — | volatile |
| 83 | Dominican Republic | 0 1000 t | 2023 | — | volatile |
| 83 | Ghana | 0 1000 t | 2023 | — | volatile |
| 83 | India | 0 1000 t | 2023 | — | volatile |
| 83 | Israel | 0 1000 t | 2023 | down 100.0% | volatile |
| 83 | Lebanon | 0 1000 t | 2023 | down 100.0% | volatile |
| 83 | Sri Lanka | 0 1000 t | 2023 | — | volatile |
| 83 | Morocco | 0 1000 t | 2023 | down 100.0% | volatile |
| 83 | Moldova | 0 1000 t | 2023 | — | volatile |
| 83 | Nepal | 0 1000 t | 2021 | — | volatile |
| 83 | Oman | 0 1000 t | 2023 | — | volatile |
| 83 | Tunisia | 0 1000 t | 2023 | — | volatile |
| 83 | Republic of Moldova | 0 1000 t | 2023 | — | volatile |
| 83 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 17,470 1000 t
- Europe 10,497 1000 t
- European Union (27) 10,158 1000 t
- Americas 6,645 1000 t
- Western Europe 4,748 1000 t
- Northern America 4,486 1000 t
- United States of America 3,097 1000 t
- Southern Europe 3,036 1000 t
- South America 1,865 1000 t
- Northern Europe 1,687 1000 t
- Eastern Europe 1,026 1000 t
- Central America 290 1000 t
- Asia 239 1000 t
- Eastern Asia 170 1000 t
- Oceania 57 1000 t
- Western Asia 42 1000 t
- Africa 31 1000 t
- Southern Africa 28 1000 t
- South-Eastern Asia 24 1000 t
- Land Locked Developing Countries (LLDCs) 17 1000 t
- Net Food Importing Developing Countries (NFIDCs) 9 1000 t
- Small island developing States (SIDS) 5 1000 t
- Low Income Food Deficit Countries (LIFDCs) 4 1000 t
- Eastern Africa 3 1000 t
- Central Asia 2 1000 t
- Least Developed Countries (LDCs) 1 1000 t
- Southern Asia 1 1000 t
- Northern Africa 0 1000 t
- Western Africa 0 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.