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 83 countries. The highest value is 2,544 1000 t in Canada; the lowest is 0 1000 t in China, Hong Kong SAR.
The median across all reporting countries is 4 1000 t, and the mean is 119.73 1000 t.
Over the past decade 29 countries rose and 20 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 | Russia | 2,294 1000 t | 2023 | up 582.7% | volatile |
| 2 | Russian Federation | 2,294 1000 t | 2023 | up 582.7% | volatile |
| 4 | Turkey | 334 1000 t | 2023 | up 977.4% | volatile |
| 4 | Türkiye | 334 1000 t | 2023 | up 977.4% | volatile |
| 6 | United States | 323 1000 t | 2023 | down 26.8% | falling |
| 7 | Ukraine | 267 1000 t | 2023 | up 154.3% | volatile |
| 8 | France | 247 1000 t | 2023 | up 4.2% | falling |
| 9 | Latvia | 205 1000 t | 2023 | — | volatile |
| 10 | Australia and New Zealand | 136 1000 t | 2023 | down 28.0% | falling |
| 11 | Australia | 121 1000 t | 2023 | down 30.9% | falling |
| 12 | Lithuania | 109 1000 t | 2023 | up 373.9% | volatile |
| 13 | United Arab Emirates | 74 1000 t | 2023 | up 722.2% | volatile |
| 14 | Kazakhstan | 62 1000 t | 2023 | up 588.9% | volatile |
| 15 | Czechia | 59 1000 t | 2023 | up 436.4% | volatile |
| 15 | Estonia | 59 1000 t | 2023 | up 268.8% | volatile |
| 17 | Iran (Islamic Republic of) | 53 1000 t | 2023 | up 657.1% | volatile |
| 18 | United Kingdom | 39 1000 t | 2023 | up 30.0% | falling |
| 18 | United Kingdom of Great Britain and Northern Ireland | 39 1000 t | 2023 | up 30.0% | falling |
| 20 | Germany | 27 1000 t | 2023 | up 50.0% | rising |
| 21 | Sweden | 25 1000 t | 2023 | up 316.7% | rising |
| 22 | Poland | 22 1000 t | 2023 | up 2,100.0% | volatile |
| 23 | Hungary | 21 1000 t | 2023 | up 23.5% | rising |
| 23 | Kenya | 21 1000 t | 2023 | up 110.0% | volatile |
| 23 | Netherlands (Kingdom of the) | 21 1000 t | 2023 | down 8.7% | volatile |
| 26 | India | 20 1000 t | 2023 | up 1,900.0% | volatile |
| 27 | Denmark | 17 1000 t | 2023 | up 183.3% | rising |
| 27 | Malawi | 17 1000 t | 2023 | down 41.4% | falling |
| 29 | Belgium | 15 1000 t | 2023 | down 48.3% | volatile |
| 29 | Ethiopia | 15 1000 t | 2023 | — | volatile |
| 29 | Kyrgyzstan | 15 1000 t | 2023 | — | volatile |
| 32 | New Zealand | 14 1000 t | 2023 | unchanged | rising |
| 33 | Argentina | 11 1000 t | 2023 | down 73.8% | falling |
| 34 | Slovakia | 10 1000 t | 2023 | up 900.0% | volatile |
| 35 | Afghanistan | 9 1000 t | 2023 | — | volatile |
| 36 | Egypt | 7 1000 t | 2023 | up 133.3% | volatile |
| 37 | Belarus | 6 1000 t | 2023 | up 500.0% | volatile |
| 37 | Norway | 6 1000 t | 2023 | up 500.0% | volatile |
| 39 | Madagascar | 5 1000 t | 2023 | down 16.7% | falling |
| 39 | United Republic of Tanzania | 5 1000 t | 2023 | down 95.8% | volatile |
| 41 | Austria | 4 1000 t | 2023 | up 100.0% | rising |
| 41 | Spain | 4 1000 t | 2023 | down 33.3% | volatile |
| 41 | Moldova | 4 1000 t | 2023 | — | volatile |
| 41 | Republic of Moldova | 4 1000 t | 2023 | — | volatile |
| 45 | China | 3 1000 t | 2023 | up 200.0% | volatile |
| 45 | China, mainland | 3 1000 t | 2023 | up 200.0% | volatile |
| 47 | Chile | 2 1000 t | 2023 | — | volatile |
| 47 | Italy | 2 1000 t | 2023 | unchanged | volatile |
| 47 | Romania | 2 1000 t | 2023 | up 100.0% | volatile |
| 47 | South Africa | 2 1000 t | 2023 | down 50.0% | volatile |
| 51 | Botswana | 1 1000 t | 2023 | — | volatile |
| 51 | Portugal | 1 1000 t | 2023 | — | volatile |
| 51 | Saudi Arabia | 1 1000 t | 2023 | — | volatile |
| 51 | Uzbekistan | 1 1000 t | 2023 | — | volatile |
| 51 | Vietnam | 1 1000 t | 2023 | — | volatile |
| 51 | Viet Nam | 1 1000 t | 2023 | — | volatile |
| 57 | Azerbaijan | 0 1000 t | 2022 | — | volatile |
| 57 | Bulgaria | 0 1000 t | 2023 | — | volatile |
| 57 | Belize | 0 1000 t | 2023 | down 100.0% | volatile |
| 57 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 57 | Colombia | 0 1000 t | 2023 | — | volatile |
| 57 | Ghana | 0 1000 t | 2022 | down 100.0% | volatile |
| 57 | Croatia | 0 1000 t | 2023 | down 100.0% | volatile |
| 57 | Indonesia | 0 1000 t | 2023 | — | volatile |
| 57 | Jordan | 0 1000 t | 2021 | — | volatile |
| 57 | Sri Lanka | 0 1000 t | 2023 | — | volatile |
| 57 | Luxembourg | 0 1000 t | 2023 | down 100.0% | volatile |
| 57 | Mexico | 0 1000 t | 2023 | — | volatile |
| 57 | Myanmar | 0 1000 t | 2023 | — | volatile |
| 57 | Mozambique | 0 1000 t | 2023 | down 100.0% | volatile |
| 57 | Malaysia | 0 1000 t | 2023 | — | volatile |
| 57 | Oman | 0 1000 t | 2023 | — | volatile |
| 57 | Pakistan | 0 1000 t | 2015 | — | volatile |
| 57 | Rwanda | 0 1000 t | 2023 | down 100.0% | volatile |
| 57 | Senegal | 0 1000 t | 2023 | — | volatile |
| 57 | Serbia | 0 1000 t | 2023 | down 100.0% | volatile |
| 57 | Slovenia | 0 1000 t | 2023 | — | volatile |
| 57 | Tunisia | 0 1000 t | 2023 | — | volatile |
| 57 | Uganda | 0 1000 t | 2023 | down 100.0% | volatile |
| 57 | Uruguay | 0 1000 t | 2023 | — | volatile |
| 57 | Yemen | 0 1000 t | 2023 | — | volatile |
| 57 | Zimbabwe | 0 1000 t | 2023 | — | volatile |
| 57 | China, Hong Kong SAR | 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 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
- Land Locked Developing Countries (LLDCs) 124 1000 t
- Low Income Food Deficit Countries (LIFDCs) 88 1000 t
- Southern Asia 82 1000 t
- Net Food Importing Developing Countries (NFIDCs) 81 1000 t
- Central Asia 78 1000 t
- Africa 74 1000 t
- Eastern Africa 63 1000 t
- Least Developed Countries (LDCs) 51 1000 t
- South America 13 1000 t
- Southern Europe 8 1000 t
- Northern Africa 7 1000 t
- Southern Africa 3 1000 t
- Eastern Asia 3 1000 t
- Western Africa 1 1000 t
- South-Eastern Asia 1 1000 t
- Small island developing States (SIDS) 0 1000 t
- Central America 0 1000 t
- Middle 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.