Peas — 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
176
Highest
2,677 1000 t
China
Lowest
0 1000 t
China, Macao SAR
Median
1 1000 t
Years covered
14
2010–2023
Data points
2,770
What the numbers show
Peas — Import quantity is currently reported for 176 countries. The highest value is 2,677 1000 t in China; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 1 1000 t, and the mean is 52.56 1000 t.
Over the past decade 59 countries rose and 33 fell. The largest increase was in Latvia (up 20,500.0%), and the largest decrease in Barbados (down 100.0%).
Peas — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 2,677 1000 t | 2023 | up 154.0% | volatile |
| 2 | China, mainland | 2,656 1000 t | 2023 | up 157.1% | volatile |
| 3 | Spain | 598 1000 t | 2023 | up 1,768.8% | volatile |
| 4 | Türkiye | 346 1000 t | 2023 | up 686.4% | volatile |
| 5 | Bangladesh | 303 1000 t | 2023 | down 22.5% | rising |
| 6 | Pakistan | 251 1000 t | 2023 | up 55.9% | volatile |
| 7 | Italy | 221 1000 t | 2023 | up 135.1% | rising |
| 8 | Latvia | 206 1000 t | 2023 | up 20,500.0% | volatile |
| 9 | Germany | 183 1000 t | 2023 | up 92.6% | rising |
| 10 | Iraq | 149 1000 t | 2023 | up 964.3% | volatile |
| 11 | Netherlands (Kingdom of the) | 124 1000 t | 2023 | up 148.0% | rising |
| 12 | United Arab Emirates | 121 1000 t | 2023 | up 137.3% | rising |
| 13 | Norway | 118 1000 t | 2023 | up 110.7% | rising |
| 14 | Belgium | 103 1000 t | 2023 | down 27.0% | rising |
| 15 | Ethiopia | 86 1000 t | 2023 | up 437.5% | rising |
| 16 | Kenya | 85 1000 t | 2023 | up 254.2% | rising |
| 17 | Canada | 64 1000 t | 2023 | up 190.9% | volatile |
| 18 | Afghanistan | 55 1000 t | 2023 | up 1,733.3% | volatile |
| 19 | Philippines | 52 1000 t | 2023 | up 48.6% | rising |
| 20 | Yemen | 51 1000 t | 2023 | up 466.7% | volatile |
| 21 | Djibouti | 42 1000 t | 2023 | up 110.0% | rising |
| 22 | Malaysia | 38 1000 t | 2023 | up 72.7% | rising |
| 23 | Sri Lanka | 36 1000 t | 2023 | up 16.1% | rising |
| 24 | Peru | 35 1000 t | 2023 | up 66.7% | rising |
| 25 | Colombia | 32 1000 t | 2023 | up 10.3% | rising |
| 26 | Venezuela (Bolivarian Republic of) | 31 1000 t | 2023 | up 82.4% | volatile |
| 27 | Kazakhstan | 30 1000 t | 2023 | up 2,900.0% | volatile |
| 27 | Kyrgyzstan | 30 1000 t | 2023 | up 1,400.0% | volatile |
| 29 | Egypt | 29 1000 t | 2023 | up 38.1% | rising |
| 30 | United Kingdom of Great Britain and Northern Ireland | 26 1000 t | 2023 | down 50.9% | falling |
| 31 | Brazil | 23 1000 t | 2023 | down 48.9% | falling |
| 31 | Lithuania | 23 1000 t | 2023 | up 1,050.0% | volatile |
| 31 | Portugal | 23 1000 t | 2023 | up 360.0% | volatile |
| 34 | France | 22 1000 t | 2023 | up 100.0% | volatile |
| 35 | Senegal | 21 1000 t | 2023 | up 133.3% | volatile |
| 35 | China, Taiwan Province of | 21 1000 t | 2023 | up 5.0% | falling |
| 37 | Switzerland | 18 1000 t | 2023 | up 12.5% | rising |
| 37 | Morocco | 18 1000 t | 2023 | up 200.0% | volatile |
| 37 | Mexico | 18 1000 t | 2023 | up 20.0% | flat |
| 37 | Poland | 18 1000 t | 2023 | up 100.0% | volatile |
| 41 | Saudi Arabia | 15 1000 t | 2023 | up 50.0% | rising |
| 42 | Uganda | 14 1000 t | 2023 | up 1,300.0% | volatile |
| 42 | Uzbekistan | 14 1000 t | 2023 | up 75.0% | rising |
| 44 | Algeria | 13 1000 t | 2023 | up 62.5% | rising |
| 45 | Cameroon | 12 1000 t | 2023 | up 140.0% | volatile |
| 46 | Hungary | 11 1000 t | 2023 | up 120.0% | rising |
| 46 | India | 11 1000 t | 2023 | down 99.1% | volatile |
| 48 | Thailand | 10 1000 t | 2023 | unchanged | rising |
| 48 | Democratic Republic of the Congo | 10 1000 t | 2023 | up 400.0% | volatile |
| 50 | Austria | 9 1000 t | 2023 | up 125.0% | rising |
| 51 | Viet Nam | 7 1000 t | 2023 | up 600.0% | volatile |
| 52 | Chile | 6 1000 t | 2023 | up 20.0% | rising |
| 52 | Romania | 6 1000 t | 2023 | up 500.0% | volatile |
| 52 | Sweden | 6 1000 t | 2023 | up 200.0% | volatile |
| 52 | Caribbean | 6 1000 t | 2023 | down 45.5% | volatile |
| 56 | Czechia | 5 1000 t | 2023 | up 150.0% | volatile |
| 56 | Indonesia | 5 1000 t | 2023 | down 28.6% | flat |
| 56 | Mauritius | 5 1000 t | 2023 | up 25.0% | rising |
| 56 | Oman | 5 1000 t | 2023 | up 150.0% | volatile |
| 56 | Tajikistan | 5 1000 t | 2023 | up 66.7% | falling |
| 56 | Trinidad and Tobago | 5 1000 t | 2023 | unchanged | falling |
| 56 | Republic of Korea | 5 1000 t | 2023 | up 66.7% | rising |
| 63 | Argentina | 4 1000 t | 2023 | up 300.0% | volatile |
| 63 | Ecuador | 4 1000 t | 2023 | unchanged | rising |
| 63 | Qatar | 4 1000 t | 2023 | — | rising |
| 63 | Slovakia | 4 1000 t | 2023 | up 300.0% | volatile |
| 63 | Russian Federation | 4 1000 t | 2023 | down 55.6% | falling |
| 63 | United Republic of Tanzania | 4 1000 t | 2023 | up 100.0% | volatile |
| 69 | Burkina Faso | 3 1000 t | 2023 | up 200.0% | volatile |
| 69 | Bahrain | 3 1000 t | 2023 | — | rising |
| 69 | Congo | 3 1000 t | 2023 | — | volatile |
| 69 | Mozambique | 3 1000 t | 2023 | — | volatile |
| 69 | Republic of Moldova | 3 1000 t | 2023 | — | volatile |
| 74 | Armenia | 2 1000 t | 2023 | unchanged | rising |
| 74 | Denmark | 2 1000 t | 2023 | down 83.3% | volatile |
| 74 | Finland | 2 1000 t | 2023 | — | volatile |
| 74 | Fiji | 2 1000 t | 2021 | down 71.4% | volatile |
| 74 | Gambia | 2 1000 t | 2023 | — | volatile |
| 74 | Guyana | 2 1000 t | 2023 | down 33.3% | falling |
| 74 | Ireland | 2 1000 t | 2023 | unchanged | volatile |
| 74 | Israel | 2 1000 t | 2023 | down 33.3% | falling |
| 74 | Madagascar | 2 1000 t | 2023 | up 100.0% | volatile |
| 74 | Serbia | 2 1000 t | 2023 | up 100.0% | rising |
| 84 | Australia | 1 1000 t | 2023 | down 50.0% | falling |
| 84 | Azerbaijan | 1 1000 t | 2023 | down 50.0% | volatile |
| 84 | Bulgaria | 1 1000 t | 2023 | unchanged | rising |
| 84 | Belarus | 1 1000 t | 2023 | down 75.0% | falling |
| 84 | Estonia | 1 1000 t | 2023 | unchanged | volatile |
| 84 | Georgia | 1 1000 t | 2023 | down 50.0% | falling |
| 84 | Greece | 1 1000 t | 2023 | unchanged | falling |
| 84 | Croatia | 1 1000 t | 2023 | — | volatile |
| 84 | Haiti | 1 1000 t | 2023 | down 75.0% | volatile |
| 84 | Jordan | 1 1000 t | 2023 | unchanged | rising |
| 84 | Kuwait | 1 1000 t | 2023 | — | volatile |
| 84 | Liberia | 1 1000 t | 2023 | down 50.0% | volatile |
| 84 | Libya | 1 1000 t | 2023 | unchanged | volatile |
| 84 | Lesotho | 1 1000 t | 2023 | down 50.0% | volatile |
| 84 | Nepal | 1 1000 t | 2023 | down 95.2% | volatile |
| 84 | Panama | 1 1000 t | 2023 | unchanged | falling |
| 84 | Suriname | 1 1000 t | 2023 | unchanged | rising |
| 84 | Turkmenistan | 1 1000 t | 2023 | down 50.0% | falling |
| 84 | Tunisia | 1 1000 t | 2023 | — | volatile |
| 84 | Ukraine | 1 1000 t | 2023 | unchanged | volatile |
| 84 | Zimbabwe | 1 1000 t | 2023 | down 88.9% | volatile |
| 84 | Iran (Islamic Republic of) | 1 1000 t | 2023 | — | volatile |
| 84 | Australia and New Zealand | 1 1000 t | 2023 | down 66.7% | falling |
| 84 | Côte d'Ivoire | 1 1000 t | 2023 | down 50.0% | volatile |
| 108 | Angola | 0 1000 t | 2023 | — | flat |
| 108 | Albania | 0 1000 t | 2023 | — | flat |
| 108 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 108 | Bahamas | 0 1000 t | 2023 | — | flat |
| 108 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 108 | Belize | 0 1000 t | 2023 | — | flat |
| 108 | Barbados | 0 1000 t | 2023 | down 100.0% | volatile |
| 108 | Bhutan | 0 1000 t | 2023 | — | flat |
| 108 | Botswana | 0 1000 t | 2023 | — | volatile |
| 108 | Comoros | 0 1000 t | 2023 | — | flat |
| 108 | Costa Rica | 0 1000 t | 2023 | — | volatile |
| 108 | Cyprus | 0 1000 t | 2023 | — | volatile |
| 108 | Dominican Republic | 0 1000 t | 2023 | — | volatile |
| 108 | Gabon | 0 1000 t | 2023 | — | flat |
| 108 | Ghana | 0 1000 t | 2023 | — | flat |
| 108 | Guinea | 0 1000 t | 2023 | — | volatile |
| 108 | Guinea-Bissau | 0 1000 t | 2023 | — | volatile |
| 108 | Grenada | 0 1000 t | 2023 | — | flat |
| 108 | Guatemala | 0 1000 t | 2023 | down 100.0% | volatile |
| 108 | Honduras | 0 1000 t | 2023 | — | flat |
| 108 | Iceland | 0 1000 t | 2023 | — | flat |
| 108 | Jamaica | 0 1000 t | 2023 | down 100.0% | volatile |
| 108 | Cambodia | 0 1000 t | 2023 | — | volatile |
| 108 | Kiribati | 0 1000 t | 2023 | — | flat |
| 108 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 108 | Lebanon | 0 1000 t | 2023 | down 100.0% | volatile |
| 108 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 108 | Luxembourg | 0 1000 t | 2023 | down 100.0% | volatile |
| 108 | Maldives | 0 1000 t | 2023 | — | flat |
| 108 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 108 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 108 | Malta | 0 1000 t | 2023 | — | flat |
| 108 | Myanmar | 0 1000 t | 2023 | down 100.0% | volatile |
| 108 | Montenegro | 0 1000 t | 2023 | — | flat |
| 108 | Mongolia | 0 1000 t | 2023 | — | flat |
| 108 | Mauritania | 0 1000 t | 2023 | down 100.0% | volatile |
| 108 | Malawi | 0 1000 t | 2023 | — | volatile |
| 108 | Namibia | 0 1000 t | 2023 | — | volatile |
| 108 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 108 | Niger | 0 1000 t | 2023 | — | volatile |
| 108 | Nigeria | 0 1000 t | 2023 | — | flat |
| 108 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 108 | New Zealand | 0 1000 t | 2023 | — | volatile |
| 108 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 108 | Paraguay | 0 1000 t | 2023 | — | flat |
| 108 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 108 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 108 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 108 | Sierra Leone | 0 1000 t | 2023 | down 100.0% | volatile |
| 108 | El Salvador | 0 1000 t | 2023 | — | flat |
| 108 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 108 | Slovenia | 0 1000 t | 2023 | — | volatile |
| 108 | Eswatini | 0 1000 t | 2023 | — | volatile |
| 108 | Seychelles | 0 1000 t | 2023 | — | flat |
| 108 | Uruguay | 0 1000 t | 2023 | — | flat |
| 108 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 108 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 108 | Samoa | 0 1000 t | 2023 | — | flat |
| 108 | Zambia | 0 1000 t | 2023 | — | volatile |
| 108 | Micronesia | 0 1000 t | 2023 | — | flat |
| 108 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 108 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 108 | Melanesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 108 | Polynesia | 0 1000 t | 2023 | — | flat |
| 108 | Bolivia (Plurinational State of) | 0 1000 t | 2022 | — | volatile |
| 108 | China, Hong Kong SAR | 0 1000 t | 2023 | — | volatile |
| 108 | Syrian Arab Republic | 0 1000 t | 2023 | — | volatile |
| 108 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 108 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 6,918 1000 t
- Asia 4,250 1000 t
- Eastern Asia 2,694 1000 t
- Europe 1,747 1000 t
- European Union (27) 1,573 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,132 1000 t
- Southern Europe 847 1000 t
- Western Asia 705 1000 t
- Southern Asia 659 1000 t
- Least Developed Countries (LDCs) 632 1000 t
- Americas 517 1000 t
- Western Europe 460 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.