Peas — 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
Peas — Export quantity is currently reported for 129 countries. The highest value is 2,544 1000 t in Canada; the lowest is 0 1000 t in China, Taiwan Province of.
The median across all reporting countries is 0 1000 t, and the mean is 53.81 1000 t.
Over the past decade 26 countries rose and 18 fell. The largest increase was in Poland (up 2,100.0%), and the largest decrease in Belize (down 100.0%).
Peas — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Canada | 2,544 1000 t | 2023 | down 10.2% | rising |
| 2 | Russian Federation | 2,294 1000 t | 2023 | up 582.7% | volatile |
| 3 | Türkiye | 334 1000 t | 2023 | up 977.4% | volatile |
| 4 | Ukraine | 267 1000 t | 2023 | up 154.3% | volatile |
| 5 | France | 247 1000 t | 2023 | up 4.2% | falling |
| 6 | Latvia | 205 1000 t | 2023 | — | volatile |
| 7 | Australia and New Zealand | 136 1000 t | 2023 | down 28.0% | falling |
| 8 | Australia | 121 1000 t | 2023 | down 30.9% | falling |
| 9 | Lithuania | 109 1000 t | 2023 | up 373.9% | volatile |
| 10 | United Arab Emirates | 74 1000 t | 2023 | up 722.2% | volatile |
| 11 | Kazakhstan | 62 1000 t | 2023 | up 588.9% | volatile |
| 12 | Czechia | 59 1000 t | 2023 | up 436.4% | volatile |
| 12 | Estonia | 59 1000 t | 2023 | up 268.8% | volatile |
| 14 | Iran (Islamic Republic of) | 53 1000 t | 2023 | up 657.1% | volatile |
| 15 | United Kingdom of Great Britain and Northern Ireland | 39 1000 t | 2023 | up 30.0% | falling |
| 16 | Germany | 27 1000 t | 2023 | up 50.0% | rising |
| 17 | Sweden | 25 1000 t | 2023 | up 316.7% | rising |
| 18 | Poland | 22 1000 t | 2023 | up 2,100.0% | volatile |
| 19 | Hungary | 21 1000 t | 2023 | up 23.5% | rising |
| 19 | Kenya | 21 1000 t | 2023 | up 110.0% | volatile |
| 19 | Netherlands (Kingdom of the) | 21 1000 t | 2023 | down 8.7% | volatile |
| 22 | India | 20 1000 t | 2023 | up 1,900.0% | volatile |
| 23 | Denmark | 17 1000 t | 2023 | up 183.3% | rising |
| 23 | Malawi | 17 1000 t | 2023 | down 41.4% | falling |
| 25 | Belgium | 15 1000 t | 2023 | down 48.3% | volatile |
| 25 | Ethiopia | 15 1000 t | 2023 | — | volatile |
| 25 | Kyrgyzstan | 15 1000 t | 2023 | — | volatile |
| 28 | New Zealand | 14 1000 t | 2023 | unchanged | rising |
| 29 | Argentina | 11 1000 t | 2023 | down 73.8% | falling |
| 30 | Slovakia | 10 1000 t | 2023 | up 900.0% | volatile |
| 31 | Afghanistan | 9 1000 t | 2023 | — | volatile |
| 32 | Egypt | 7 1000 t | 2023 | up 133.3% | volatile |
| 33 | Belarus | 6 1000 t | 2023 | up 500.0% | volatile |
| 33 | Norway | 6 1000 t | 2023 | up 500.0% | volatile |
| 35 | Madagascar | 5 1000 t | 2023 | down 16.7% | falling |
| 35 | United Republic of Tanzania | 5 1000 t | 2023 | down 95.8% | volatile |
| 37 | Austria | 4 1000 t | 2023 | up 100.0% | rising |
| 37 | Spain | 4 1000 t | 2023 | down 33.3% | volatile |
| 37 | Republic of Moldova | 4 1000 t | 2023 | — | volatile |
| 40 | China | 3 1000 t | 2023 | up 200.0% | volatile |
| 40 | China, mainland | 3 1000 t | 2023 | up 200.0% | volatile |
| 42 | Chile | 2 1000 t | 2023 | — | volatile |
| 42 | Italy | 2 1000 t | 2023 | unchanged | volatile |
| 42 | Romania | 2 1000 t | 2023 | up 100.0% | volatile |
| 45 | Botswana | 1 1000 t | 2023 | — | volatile |
| 45 | Portugal | 1 1000 t | 2023 | — | volatile |
| 45 | Saudi Arabia | 1 1000 t | 2023 | — | volatile |
| 45 | Uzbekistan | 1 1000 t | 2023 | — | volatile |
| 45 | Viet Nam | 1 1000 t | 2023 | — | volatile |
| 50 | Angola | 0 1000 t | 2021 | — | flat |
| 50 | Albania | 0 1000 t | 2017 | — | flat |
| 50 | Armenia | 0 1000 t | 2023 | — | flat |
| 50 | Azerbaijan | 0 1000 t | 2022 | — | volatile |
| 50 | Burkina Faso | 0 1000 t | 2014 | — | flat |
| 50 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 50 | Bulgaria | 0 1000 t | 2023 | — | volatile |
| 50 | Bahrain | 0 1000 t | 2023 | — | flat |
| 50 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 50 | Belize | 0 1000 t | 2023 | down 100.0% | volatile |
| 50 | Brazil | 0 1000 t | 2023 | — | flat |
| 50 | Barbados | 0 1000 t | 2023 | — | flat |
| 50 | Switzerland | 0 1000 t | 2023 | — | flat |
| 50 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 50 | Colombia | 0 1000 t | 2023 | — | volatile |
| 50 | Cyprus | 0 1000 t | 2015 | — | flat |
| 50 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 50 | Algeria | 0 1000 t | 2023 | — | flat |
| 50 | Ecuador | 0 1000 t | 2023 | — | flat |
| 50 | Finland | 0 1000 t | 2023 | — | flat |
| 50 | Fiji | 0 1000 t | 2019 | — | flat |
| 50 | Georgia | 0 1000 t | 2023 | — | flat |
| 50 | Ghana | 0 1000 t | 2022 | down 100.0% | volatile |
| 50 | Guinea | 0 1000 t | 2018 | — | flat |
| 50 | Greece | 0 1000 t | 2023 | — | flat |
| 50 | Guatemala | 0 1000 t | 2022 | — | flat |
| 50 | Guyana | 0 1000 t | 2023 | — | flat |
| 50 | Croatia | 0 1000 t | 2023 | down 100.0% | volatile |
| 50 | Indonesia | 0 1000 t | 2023 | — | volatile |
| 50 | Ireland | 0 1000 t | 2023 | — | flat |
| 50 | Israel | 0 1000 t | 2022 | — | flat |
| 50 | Jamaica | 0 1000 t | 2023 | — | flat |
| 50 | Jordan | 0 1000 t | 2021 | — | volatile |
| 50 | Kuwait | 0 1000 t | 2014 | — | flat |
| 50 | Lebanon | 0 1000 t | 2023 | — | flat |
| 50 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 50 | Sri Lanka | 0 1000 t | 2023 | — | volatile |
| 50 | Lesotho | 0 1000 t | 2023 | — | flat |
| 50 | Luxembourg | 0 1000 t | 2023 | down 100.0% | volatile |
| 50 | Morocco | 0 1000 t | 2023 | — | flat |
| 50 | Mexico | 0 1000 t | 2023 | — | volatile |
| 50 | North Macedonia | 0 1000 t | 2017 | — | flat |
| 50 | Malta | 0 1000 t | 2021 | — | flat |
| 50 | Myanmar | 0 1000 t | 2023 | — | volatile |
| 50 | Mozambique | 0 1000 t | 2023 | down 100.0% | volatile |
| 50 | Mauritius | 0 1000 t | 2023 | — | flat |
| 50 | Malaysia | 0 1000 t | 2023 | — | volatile |
| 50 | Namibia | 0 1000 t | 2023 | — | flat |
| 50 | Niger | 0 1000 t | 2019 | — | flat |
| 50 | Nigeria | 0 1000 t | 2023 | — | flat |
| 50 | Nepal | 0 1000 t | 2023 | — | flat |
| 50 | Oman | 0 1000 t | 2023 | — | volatile |
| 50 | Pakistan | 0 1000 t | 2015 | — | volatile |
| 50 | Peru | 0 1000 t | 2023 | — | flat |
| 50 | Philippines | 0 1000 t | 2023 | — | flat |
| 50 | Rwanda | 0 1000 t | 2023 | down 100.0% | volatile |
| 50 | Senegal | 0 1000 t | 2023 | — | volatile |
| 50 | Serbia | 0 1000 t | 2023 | down 100.0% | volatile |
| 50 | Suriname | 0 1000 t | 2022 | — | flat |
| 50 | Slovenia | 0 1000 t | 2023 | — | volatile |
| 50 | Eswatini | 0 1000 t | 2023 | — | flat |
| 50 | Thailand | 0 1000 t | 2023 | — | flat |
| 50 | Tajikistan | 0 1000 t | 2020 | — | flat |
| 50 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 50 | Tunisia | 0 1000 t | 2023 | — | volatile |
| 50 | Uganda | 0 1000 t | 2023 | down 100.0% | volatile |
| 50 | Uruguay | 0 1000 t | 2023 | — | volatile |
| 50 | Yemen | 0 1000 t | 2023 | — | volatile |
| 50 | Zambia | 0 1000 t | 2022 | — | flat |
| 50 | Zimbabwe | 0 1000 t | 2023 | — | volatile |
| 50 | Melanesia | 0 1000 t | 2019 | — | flat |
| 50 | Democratic Republic of the Congo | 0 1000 t | 2022 | — | flat |
| 50 | Caribbean | 0 1000 t | 2023 | — | flat |
| 50 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 50 | China, Hong Kong SAR | 0 1000 t | 2023 | — | volatile |
| 50 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 50 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 50 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2021 | — | flat |
| 50 | Côte d'Ivoire | 0 1000 t | 2022 | — | flat |
| 50 | China, Taiwan Province of | 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 7,131 1000 t
- Europe 3,467 1000 t
- Americas 2,880 1000 t
- Northern America 2,867 1000 t
- Eastern Europe 2,685 1000 t
- European Union (27) 850 1000 t
- Asia 575 1000 t
- Northern Europe 460 1000 t
- Western Asia 410 1000 t
- United States of America 323 1000 t
- Western Europe 314 1000 t
- Oceania 136 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.