Poultry Meat — Import 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...
Countries reporting
187
Highest
1,913 1000 t
China
Lowest
0 1000 t
Uganda
Median
25 1000 t
Years covered
14
2010–2023
Data points
3,037
What the numbers show
Poultry Meat — Import quantity is currently reported for 187 countries. The highest value is 1,913 1000 t in China; the lowest is 0 1000 t in Uganda.
The median across all reporting countries is 25 1000 t, and the mean is 109.49 1000 t.
Over the past decade 112 countries rose and 40 fell. The largest increase was in Cambodia (up 4,300.0%), and the largest decrease in Algeria (down 100.0%).
Poultry Meat — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 1,913 1000 t | 2023 | up 2.4% | rising |
| 2 | China, mainland | 1,311 1000 t | 2023 | up 124.5% | volatile |
| 3 | Mexico | 1,102 1000 t | 2023 | up 30.7% | rising |
| 4 | United Kingdom | 978 1000 t | 2023 | up 37.4% | rising |
| 4 | United Kingdom of Great Britain and Northern Ireland | 978 1000 t | 2023 | up 37.4% | rising |
| 6 | Netherlands (Kingdom of the) | 901 1000 t | 2023 | up 57.5% | rising |
| 7 | Germany | 777 1000 t | 2023 | up 7.6% | rising |
| 8 | France | 698 1000 t | 2023 | up 65.0% | rising |
| 9 | Caribbean | 637 1000 t | 2023 | up 55.0% | rising |
| 10 | United Arab Emirates | 611 1000 t | 2023 | up 63.4% | rising |
| 11 | Iraq | 520 1000 t | 2023 | up 25.9% | rising |
| 12 | Saudi Arabia | 450 1000 t | 2023 | down 48.5% | falling |
| 13 | South Africa | 329 1000 t | 2023 | down 7.6% | rising |
| 14 | China, Hong Kong SAR | 327 1000 t | 2023 | down 71.6% | falling |
| 15 | Cuba | 294 1000 t | 2019 | up 100.0% | rising |
| 15 | Republic of Korea | 294 1000 t | 2023 | up 124.4% | rising |
| 17 | Philippines | 291 1000 t | 2023 | up 193.9% | rising |
| 18 | Belgium | 285 1000 t | 2023 | up 12.6% | rising |
| 19 | Vietnam | 243 1000 t | 2023 | down 51.4% | volatile |
| 19 | Viet Nam | 243 1000 t | 2023 | down 51.4% | volatile |
| 21 | China, Taiwan Province of | 241 1000 t | 2023 | up 107.8% | rising |
| 22 | Malaysia | 238 1000 t | 2023 | up 406.4% | volatile |
| 23 | Spain | 232 1000 t | 2023 | up 40.6% | rising |
| 23 | Ghana | 232 1000 t | 2023 | up 34.9% | rising |
| 25 | Congo | 219 1000 t | 2023 | up 329.4% | volatile |
| 26 | Canada | 213 1000 t | 2023 | down 2.7% | flat |
| 27 | Angola | 212 1000 t | 2023 | down 38.0% | falling |
| 28 | Kazakhstan | 165 1000 t | 2023 | down 3.5% | rising |
| 29 | United States | 158 1000 t | 2023 | up 56.4% | rising |
| 30 | Guatemala | 154 1000 t | 2023 | up 75.0% | rising |
| 31 | Czechia | 150 1000 t | 2023 | up 51.5% | rising |
| 32 | Romania | 134 1000 t | 2023 | up 48.9% | rising |
| 33 | Kuwait | 127 1000 t | 2023 | down 7.3% | falling |
| 34 | Slovakia | 125 1000 t | 2023 | up 108.3% | rising |
| 35 | Austria | 122 1000 t | 2023 | up 16.2% | rising |
| 35 | Italy | 122 1000 t | 2023 | up 40.2% | rising |
| 37 | Yemen | 117 1000 t | 2023 | up 7.3% | rising |
| 38 | Chile | 116 1000 t | 2023 | up 43.2% | rising |
| 39 | Ireland | 112 1000 t | 2023 | up 40.0% | rising |
| 40 | Hungary | 109 1000 t | 2023 | up 113.7% | rising |
| 41 | Haiti | 108 1000 t | 2023 | up 54.3% | rising |
| 41 | Sweden | 108 1000 t | 2023 | up 47.9% | rising |
| 43 | Portugal | 107 1000 t | 2023 | up 67.2% | rising |
| 44 | Qatar | 106 1000 t | 2023 | — | falling |
| 45 | Peru | 105 1000 t | 2023 | up 238.7% | volatile |
| 46 | Uzbekistan | 104 1000 t | 2023 | up 395.2% | volatile |
| 47 | Bulgaria | 103 1000 t | 2023 | up 19.8% | rising |
| 48 | Oman | 101 1000 t | 2023 | down 12.9% | flat |
| 49 | Libya | 97 1000 t | 2023 | — | volatile |
| 50 | Russia | 95 1000 t | 2023 | down 82.0% | volatile |
| 50 | Russian Federation | 95 1000 t | 2023 | down 82.0% | volatile |
| 52 | Denmark | 90 1000 t | 2023 | down 10.9% | rising |
| 53 | Greece | 84 1000 t | 2023 | up 15.1% | rising |
| 54 | Gabon | 83 1000 t | 2023 | up 18.6% | rising |
| 55 | Poland | 76 1000 t | 2023 | up 55.1% | rising |
| 56 | Democratic Republic of the Congo | 71 1000 t | 2023 | down 9.0% | rising |
| 57 | Guinea | 70 1000 t | 2023 | up 438.5% | volatile |
| 58 | Turkey | 68 1000 t | 2023 | — | volatile |
| 58 | Iran (Islamic Republic of) | 68 1000 t | 2023 | up 300.0% | volatile |
| 58 | Türkiye | 68 1000 t | 2023 | — | volatile |
| 61 | Georgia | 66 1000 t | 2023 | up 53.5% | rising |
| 62 | Ukraine | 64 1000 t | 2023 | down 13.5% | flat |
| 63 | Melanesia | 62 1000 t | 2023 | up 77.1% | rising |
| 64 | Jordan | 61 1000 t | 2023 | down 27.4% | falling |
| 65 | Lithuania | 58 1000 t | 2023 | up 75.8% | rising |
| 66 | Bahrain | 56 1000 t | 2023 | — | falling |
| 67 | Kyrgyzstan | 54 1000 t | 2023 | up 5.9% | falling |
| 68 | Albania | 52 1000 t | 2023 | up 116.7% | rising |
| 68 | Dominican Republic | 52 1000 t | 2023 | up 116.7% | rising |
| 68 | Mauritania | 52 1000 t | 2023 | up 205.9% | volatile |
| 71 | Colombia | 51 1000 t | 2023 | down 1.9% | rising |
| 72 | Switzerland | 48 1000 t | 2023 | down 12.7% | falling |
| 72 | Mozambique | 48 1000 t | 2023 | up 380.0% | volatile |
| 74 | Latvia | 46 1000 t | 2023 | up 58.6% | rising |
| 75 | Cambodia | 44 1000 t | 2023 | up 4,300.0% | volatile |
| 75 | Polynesia | 44 1000 t | 2023 | up 51.7% | rising |
| 77 | Gambia | 41 1000 t | 2023 | up 925.0% | volatile |
| 78 | Armenia | 40 1000 t | 2023 | up 25.0% | rising |
| 78 | North Macedonia | 40 1000 t | 2023 | up 8.1% | rising |
| 80 | Croatia | 39 1000 t | 2023 | up 116.7% | rising |
| 80 | Turkmenistan | 39 1000 t | 2023 | up 3,800.0% | volatile |
| 82 | Venezuela (Bolivarian Republic of) | 35 1000 t | 2023 | down 87.5% | volatile |
| 83 | Papua New Guinea | 34 1000 t | 2023 | up 70.0% | rising |
| 83 | China, Macao SAR | 34 1000 t | 2023 | up 100.0% | rising |
| 85 | Costa Rica | 33 1000 t | 2023 | up 371.4% | volatile |
| 86 | Azerbaijan | 32 1000 t | 2023 | up 700.0% | rising |
| 87 | Sierra Leone | 31 1000 t | 2023 | up 121.4% | rising |
| 88 | Finland | 28 1000 t | 2023 | up 100.0% | rising |
| 88 | Slovenia | 28 1000 t | 2023 | up 64.7% | rising |
| 90 | Belarus | 27 1000 t | 2023 | up 80.0% | rising |
| 91 | Jamaica | 26 1000 t | 2023 | down 38.1% | falling |
| 91 | Mongolia | 26 1000 t | 2023 | up 225.0% | volatile |
| 93 | Egypt | 25 1000 t | 2023 | down 80.0% | volatile |
| 93 | Estonia | 25 1000 t | 2023 | up 25.0% | rising |
| 93 | Namibia | 25 1000 t | 2023 | up 38.9% | volatile |
| 93 | El Salvador | 25 1000 t | 2023 | up 66.7% | rising |
| 97 | Serbia | 24 1000 t | 2023 | up 100.0% | rising |
| 97 | Trinidad and Tobago | 24 1000 t | 2023 | down 4.0% | flat |
| 99 | Moldova | 23 1000 t | 2023 | up 21.1% | rising |
| 99 | Zambia | 23 1000 t | 2023 | up 1,050.0% | volatile |
| 99 | Republic of Moldova | 23 1000 t | 2023 | up 21.1% | rising |
| 102 | Bahamas | 22 1000 t | 2023 | up 22.2% | rising |
| 103 | Cyprus | 21 1000 t | 2023 | up 75.0% | rising |
| 103 | Honduras | 21 1000 t | 2023 | up 40.0% | rising |
| 105 | Syria | 20 1000 t | 2023 | down 33.3% | rising |
| 105 | Syrian Arab Republic | 20 1000 t | 2023 | down 33.3% | rising |
| 107 | Comoros | 18 1000 t | 2023 | up 125.0% | rising |
| 107 | French Polynesia | 18 1000 t | 2023 | up 12.5% | rising |
| 109 | Lesotho | 17 1000 t | 2023 | unchanged | volatile |
| 109 | Panama | 17 1000 t | 2023 | up 13.3% | rising |
| 109 | Samoa | 17 1000 t | 2023 | up 30.8% | rising |
| 112 | Bosnia and Herzegovina | 16 1000 t | 2023 | up 14.3% | falling |
| 112 | Nicaragua | 16 1000 t | 2023 | up 166.7% | rising |
| 112 | Suriname | 16 1000 t | 2023 | down 23.8% | falling |
| 115 | Maldives | 15 1000 t | 2023 | up 50.0% | rising |
| 116 | Luxembourg | 14 1000 t | 2023 | up 40.0% | rising |
| 117 | Cabo Verde | 13 1000 t | 2023 | up 62.5% | rising |
| 118 | Montenegro | 12 1000 t | 2023 | up 100.0% | rising |
| 119 | Laos | 11 1000 t | 2023 | — | volatile |
| 119 | Lebanon | 11 1000 t | 2023 | down 26.7% | falling |
| 119 | Malta | 11 1000 t | 2023 | up 37.5% | rising |
| 119 | Micronesia | 11 1000 t | 2023 | up 1,000.0% | volatile |
| 119 | Lao People's Democratic Republic | 11 1000 t | 2023 | — | volatile |
| 124 | Saint Lucia | 10 1000 t | 2023 | down 16.7% | falling |
| 124 | New Caledonia | 10 1000 t | 2023 | unchanged | flat |
| 124 | Uruguay | 10 1000 t | 2023 | up 233.3% | volatile |
| 127 | Morocco | 9 1000 t | 2023 | up 125.0% | volatile |
| 127 | Tonga | 9 1000 t | 2023 | — | falling |
| 127 | Saint Vincent and the Grenadines | 9 1000 t | 2023 | up 12.5% | rising |
| 127 | United Republic of Tanzania | 9 1000 t | 2023 | up 350.0% | volatile |
| 131 | Zimbabwe | 8 1000 t | 2023 | up 33.3% | volatile |
| 132 | Antigua and Barbuda | 7 1000 t | 2023 | up 16.7% | rising |
| 132 | Grenada | 7 1000 t | 2023 | unchanged | rising |
| 132 | Solomon Islands | 7 1000 t | 2023 | up 250.0% | rising |
| 132 | Australia and New Zealand | 7 1000 t | 2023 | down 61.1% | volatile |
| 136 | Argentina | 6 1000 t | 2023 | up 50.0% | rising |
| 136 | Tajikistan | 6 1000 t | 2023 | down 70.0% | volatile |
| 136 | East Timor | 6 1000 t | 2023 | unchanged | rising |
| 136 | Vanuatu | 6 1000 t | 2023 | up 200.0% | rising |
| 136 | Timor-Leste | 6 1000 t | 2023 | unchanged | rising |
| 141 | Afghanistan | 5 1000 t | 2023 | down 89.6% | falling |
| 141 | Australia | 5 1000 t | 2023 | down 70.6% | volatile |
| 141 | Botswana | 5 1000 t | 2023 | unchanged | rising |
| 141 | Guinea-Bissau | 5 1000 t | 2023 | up 400.0% | rising |
| 141 | Niger | 5 1000 t | 2023 | up 150.0% | volatile |
| 146 | Djibouti | 4 1000 t | 2023 | up 100.0% | rising |
| 146 | Fiji | 4 1000 t | 2023 | up 300.0% | volatile |
| 146 | Saint Kitts and Nevis | 4 1000 t | 2023 | unchanged | falling |
| 146 | Liberia | 4 1000 t | 2023 | down 84.0% | rising |
| 146 | Mauritius | 4 1000 t | 2023 | up 100.0% | rising |
| 146 | Eswatini | 4 1000 t | 2023 | up 100.0% | rising |
| 146 | Seychelles | 4 1000 t | 2023 | up 33.3% | rising |
| 146 | Micronesia (Federated States of) | 4 1000 t | 2023 | — | flat |
| 154 | Barbados | 3 1000 t | 2023 | up 200.0% | rising |
| 154 | Bhutan | 3 1000 t | 2023 | — | rising |
| 154 | Iceland | 3 1000 t | 2023 | up 200.0% | rising |
| 154 | Marshall Islands | 3 1000 t | 2023 | — | rising |
| 154 | Norway | 3 1000 t | 2023 | up 50.0% | rising |
| 154 | Sao Tome and Principe | 3 1000 t | 2023 | up 200.0% | rising |
| 154 | Bolivia (Plurinational State of) | 3 1000 t | 2023 | up 200.0% | volatile |
| 161 | Brazil | 2 1000 t | 2023 | down 33.3% | rising |
| 161 | Cameroon | 2 1000 t | 2023 | up 100.0% | volatile |
| 161 | Kiribati | 2 1000 t | 2023 | up 100.0% | rising |
| 161 | Rwanda | 2 1000 t | 2023 | — | volatile |
| 161 | Thailand | 2 1000 t | 2023 | down 81.8% | volatile |
| 166 | Cote d'Ivoire | 1 1000 t | 2023 | unchanged | rising |
| 166 | Ecuador | 1 1000 t | 2023 | unchanged | volatile |
| 166 | Guyana | 1 1000 t | 2023 | down 50.0% | falling |
| 166 | Kenya | 1 1000 t | 2023 | — | volatile |
| 166 | Nigeria | 1 1000 t | 2023 | unchanged | volatile |
| 166 | Nauru | 1 1000 t | 2023 | — | flat |
| 166 | New Zealand | 1 1000 t | 2023 | unchanged | flat |
| 166 | Paraguay | 1 1000 t | 2023 | unchanged | flat |
| 166 | Senegal | 1 1000 t | 2023 | — | volatile |
| 166 | Côte d'Ivoire | 1 1000 t | 2023 | unchanged | rising |
| 166 | Nauru | 1 1000 t | 2023 | — | flat |
| 177 | Algeria | 0 1000 t | 2023 | down 100.0% | volatile |
| 177 | Ethiopia | 0 1000 t | 2023 | — | volatile |
| 177 | Indonesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 177 | Israel | 0 1000 t | 2023 | — | volatile |
| 177 | Sri Lanka | 0 1000 t | 2023 | — | volatile |
| 177 | Madagascar | 0 1000 t | 2023 | — | volatile |
| 177 | Myanmar | 0 1000 t | 2023 | down 100.0% | volatile |
| 177 | Pakistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 177 | Tunisia | 0 1000 t | 2023 | down 100.0% | volatile |
| 177 | Tuvalu | 0 1000 t | 2023 | — | volatile |
| 177 | Uganda | 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 17,766 1000 t
- Asia 7,075 1000 t
- Europe 5,972 1000 t
- European Union (27) 4,609 1000 t
- Eastern Asia 3,362 1000 t
- Western Europe 2,845 1000 t
- Americas 2,723 1000 t
- Western Asia 2,418 1000 t
- Net Food Importing Developing Countries (NFIDCs) 2,095 1000 t
- Africa 1,873 1000 t
- Northern Europe 1,452 1000 t
- Central America 1,367 1000 t
- Low Income Food Deficit Countries (LIFDCs) 1,238 1000 t
- Least Developed Countries (LDCs) 1,112 1000 t
- Eastern Europe 906 1000 t
- Small island developing States (SIDS) 841 1000 t
- South-Eastern Asia 835 1000 t
- Southern Europe 768 1000 t
- Land Locked Developing Countries (LLDCs) 644 1000 t
- Western Africa 612 1000 t
- Middle Africa 612 1000 t
- Southern Africa 380 1000 t
- Northern America 371 1000 t
- Central Asia 368 1000 t
- South America 348 1000 t
- United States of America 158 1000 t
- Eastern Africa 135 1000 t
- Northern Africa 134 1000 t
- Oceania 123 1000 t
- Southern Asia 92 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.