Peas — Production 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 — Production is currently reported for 97 countries. The highest value is 3,707 1000 t in Russian Federation; the lowest is 0 1000 t in Venezuela (Bolivarian Republic of).
The median across all reporting countries is 9 1000 t, and the mean is 152.27 1000 t.
Over the past decade 32 countries rose and 28 fell. The largest increase was in Greece (up 3,300.0%), and the largest decrease in Guyana (down 100.0%).
Peas — Production: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Russian Federation | 3,707 1000 t | 2023 | up 174.6% | rising |
| 2 | Canada | 2,609 1000 t | 2023 | down 34.1% | flat |
| 3 | China | 1,500 1000 t | 2023 | up 18.5% | rising |
| 3 | China, mainland | 1,500 1000 t | 2023 | up 18.5% | rising |
| 5 | India | 1,134 1000 t | 2023 | up 34.5% | rising |
| 6 | France | 485 1000 t | 2023 | down 2.8% | falling |
| 7 | Ethiopia | 406 1000 t | 2023 | up 3.0% | rising |
| 8 | Ukraine | 368 1000 t | 2023 | up 37.8% | rising |
| 9 | Australia and New Zealand | 338 1000 t | 2023 | down 7.9% | falling |
| 10 | Australia | 314 1000 t | 2023 | down 8.2% | falling |
| 11 | Germany | 266 1000 t | 2023 | up 104.6% | rising |
| 12 | United Kingdom of Great Britain and Northern Ireland | 183 1000 t | 2023 | up 71.0% | rising |
| 13 | Kazakhstan | 155 1000 t | 2023 | up 260.5% | rising |
| 14 | Spain | 153 1000 t | 2023 | down 23.9% | falling |
| 15 | Romania | 151 1000 t | 2023 | up 179.6% | volatile |
| 16 | Lithuania | 149 1000 t | 2023 | up 192.2% | volatile |
| 17 | Czechia | 106 1000 t | 2023 | up 241.9% | rising |
| 18 | Estonia | 94 1000 t | 2023 | up 203.2% | volatile |
| 19 | Finland | 87 1000 t | 2023 | up 690.9% | volatile |
| 20 | Belarus | 73 1000 t | 2023 | up 25.9% | rising |
| 21 | Poland | 69 1000 t | 2023 | up 109.1% | rising |
| 22 | Latvia | 66 1000 t | 2023 | up 1,220.0% | volatile |
| 23 | Argentina | 60 1000 t | 2023 | down 25.0% | rising |
| 24 | Denmark | 55 1000 t | 2023 | up 266.7% | volatile |
| 25 | Sweden | 54 1000 t | 2023 | up 31.7% | rising |
| 26 | Peru | 50 1000 t | 2023 | down 7.4% | flat |
| 27 | Colombia | 43 1000 t | 2023 | down 21.8% | volatile |
| 27 | Malawi | 43 1000 t | 2023 | up 7.5% | rising |
| 29 | Italy | 41 1000 t | 2023 | up 95.2% | rising |
| 30 | Myanmar | 38 1000 t | 2023 | down 45.7% | falling |
| 31 | Greece | 34 1000 t | 2023 | up 3,300.0% | volatile |
| 32 | Morocco | 33 1000 t | 2023 | down 10.8% | falling |
| 33 | Slovakia | 30 1000 t | 2023 | up 328.6% | rising |
| 33 | United Republic of Tanzania | 30 1000 t | 2023 | down 76.9% | volatile |
| 35 | Hungary | 27 1000 t | 2023 | down 40.0% | falling |
| 36 | New Zealand | 25 1000 t | 2023 | unchanged | falling |
| 36 | Republic of Moldova | 25 1000 t | 2023 | up 150.0% | volatile |
| 38 | Madagascar | 20 1000 t | 2023 | up 5.3% | rising |
| 39 | Bulgaria | 19 1000 t | 2023 | up 850.0% | volatile |
| 39 | Pakistan | 19 1000 t | 2023 | down 38.7% | falling |
| 41 | Turkmenistan | 18 1000 t | 2023 | up 50.0% | rising |
| 42 | Austria | 15 1000 t | 2023 | down 16.7% | falling |
| 43 | Uganda | 13 1000 t | 2023 | down 23.5% | falling |
| 44 | Rwanda | 12 1000 t | 2023 | down 57.1% | falling |
| 44 | Tajikistan | 12 1000 t | 2023 | up 71.4% | rising |
| 46 | Algeria | 11 1000 t | 2023 | unchanged | rising |
| 47 | Israel | 10 1000 t | 2023 | — | volatile |
| 48 | Azerbaijan | 9 1000 t | 2023 | down 10.0% | falling |
| 48 | Mauritania | 9 1000 t | 2023 | unchanged | falling |
| 50 | Bangladesh | 8 1000 t | 2023 | down 38.5% | falling |
| 51 | Congo | 7 1000 t | 2023 | unchanged | rising |
| 52 | Switzerland | 6 1000 t | 2023 | down 50.0% | falling |
| 52 | Libya | 6 1000 t | 2023 | unchanged | flat |
| 52 | Norway | 6 1000 t | 2023 | up 500.0% | rising |
| 55 | Bosnia and Herzegovina | 5 1000 t | 2023 | up 25.0% | rising |
| 55 | Paraguay | 5 1000 t | 2023 | unchanged | flat |
| 55 | Tunisia | 5 1000 t | 2023 | down 64.3% | falling |
| 55 | Bolivia (Plurinational State of) | 5 1000 t | 2023 | unchanged | flat |
| 59 | Lebanon | 4 1000 t | 2023 | up 33.3% | rising |
| 59 | Syrian Arab Republic | 4 1000 t | 2023 | unchanged | flat |
| 59 | Türkiye | 4 1000 t | 2023 | up 33.3% | falling |
| 62 | Brazil | 3 1000 t | 2023 | unchanged | falling |
| 62 | Ireland | 3 1000 t | 2023 | unchanged | falling |
| 62 | Sierra Leone | 3 1000 t | 2023 | unchanged | flat |
| 62 | Uruguay | 3 1000 t | 2023 | unchanged | flat |
| 62 | Uzbekistan | 3 1000 t | 2023 | unchanged | rising |
| 62 | Netherlands (Kingdom of the) | 3 1000 t | 2018 | down 40.0% | falling |
| 68 | Belgium | 2 1000 t | 2023 | unchanged | falling |
| 68 | Mexico | 2 1000 t | 2023 | unchanged | falling |
| 68 | North Macedonia | 2 1000 t | 2023 | unchanged | falling |
| 68 | Yemen | 2 1000 t | 2023 | down 33.3% | falling |
| 72 | Belize | 1 1000 t | 2023 | down 66.7% | falling |
| 72 | Bhutan | 1 1000 t | 2023 | — | flat |
| 72 | Chile | 1 1000 t | 2023 | unchanged | volatile |
| 72 | Ecuador | 1 1000 t | 2023 | unchanged | falling |
| 72 | Croatia | 1 1000 t | 2023 | — | volatile |
| 72 | Jamaica | 1 1000 t | 2023 | unchanged | flat |
| 72 | Montenegro | 1 1000 t | 2023 | unchanged | flat |
| 72 | Niger | 1 1000 t | 2023 | unchanged | flat |
| 72 | Slovenia | 1 1000 t | 2023 | — | falling |
| 72 | Democratic Republic of the Congo | 1 1000 t | 2023 | unchanged | flat |
| 72 | Caribbean | 1 1000 t | 2023 | down 50.0% | falling |
| 83 | Armenia | 0 1000 t | 2023 | — | flat |
| 83 | Cyprus | 0 1000 t | 2023 | — | flat |
| 83 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 83 | Egypt | 0 1000 t | 2023 | — | volatile |
| 83 | Georgia | 0 1000 t | 2023 | — | flat |
| 83 | Guyana | 0 1000 t | 2023 | down 100.0% | volatile |
| 83 | Kyrgyzstan | 0 1000 t | 2023 | down 100.0% | volatile |
| 83 | Lesotho | 0 1000 t | 2023 | down 100.0% | volatile |
| 83 | Luxembourg | 0 1000 t | 2023 | down 100.0% | falling |
| 83 | Malta | 0 1000 t | 2023 | — | flat |
| 83 | Philippines | 0 1000 t | 2023 | — | flat |
| 83 | Serbia | 0 1000 t | 2023 | — | flat |
| 83 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | flat |
| 83 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 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 13,801 1000 t
- Europe 6,286 1000 t
- Eastern Europe 4,575 1000 t
- Americas 3,605 1000 t
- Northern America 3,429 1000 t
- Asia 2,959 1000 t
- European Union (27) 1,909 1000 t
- Eastern Asia 1,501 1000 t
- Southern Asia 1,199 1000 t
- United States of America 820 1000 t
- Western Europe 774 1000 t
- Land Locked Developing Countries (LLDCs) 759 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.