Peas — Domestic supply 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 — Domestic supply quantity is currently reported for 152 countries. The highest value is 4,130 1000 t in China; the lowest is -52 1000 t in Iran (Islamic Republic of).
The median across all reporting countries is 12 1000 t, and the mean is 134.47 1000 t.
The gap between the highest and lowest reporting country is a factor of about 79.
Over the past decade 78 countries rose and 41 fell. The largest increase was in Greece (up 3,200.0%), and the largest decrease in Iran (Islamic Republic of) (down 642.9%).
Peas — Domestic supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 4,130 1000 t | 2023 | up 76.7% | rising |
| 2 | China, mainland | 4,109 1000 t | 2023 | up 77.3% | rising |
| 3 | Russia | 1,743 1000 t | 2023 | up 70.4% | rising |
| 3 | Russian Federation | 1,743 1000 t | 2023 | up 70.4% | rising |
| 5 | India | 1,125 1000 t | 2023 | down 47.9% | falling |
| 6 | United States | 1,011 1000 t | 2023 | up 144.8% | volatile |
| 7 | Spain | 525 1000 t | 2023 | up 76.8% | rising |
| 8 | Ethiopia | 501 1000 t | 2023 | up 31.2% | rising |
| 9 | Canada | 483 1000 t | 2023 | down 5.1% | rising |
| 10 | Germany | 427 1000 t | 2023 | up 106.3% | rising |
| 11 | Bangladesh | 311 1000 t | 2023 | down 15.7% | rising |
| 12 | France | 281 1000 t | 2023 | down 3.8% | falling |
| 13 | Pakistan | 269 1000 t | 2023 | up 45.4% | volatile |
| 14 | Italy | 259 1000 t | 2023 | up 127.2% | rising |
| 15 | United Kingdom | 191 1000 t | 2023 | up 46.9% | rising |
| 15 | United Kingdom of Great Britain and Northern Ireland | 191 1000 t | 2023 | up 46.9% | rising |
| 17 | Australia and New Zealand | 162 1000 t | 2023 | down 8.5% | flat |
| 18 | Australia | 154 1000 t | 2023 | down 7.8% | rising |
| 19 | Kazakhstan | 135 1000 t | 2023 | up 275.0% | rising |
| 20 | Norway | 134 1000 t | 2023 | up 139.3% | rising |
| 21 | Iraq | 125 1000 t | 2023 | up 861.5% | volatile |
| 22 | Romania | 118 1000 t | 2023 | up 93.4% | rising |
| 23 | Ukraine | 99 1000 t | 2023 | down 41.8% | volatile |
| 24 | Netherlands (Kingdom of the) | 98 1000 t | 2023 | up 226.7% | rising |
| 25 | Belgium | 90 1000 t | 2023 | down 21.1% | rising |
| 26 | Finland | 86 1000 t | 2023 | up 616.7% | volatile |
| 27 | Peru | 85 1000 t | 2023 | up 13.3% | rising |
| 28 | Afghanistan | 83 1000 t | 2023 | up 2,666.7% | volatile |
| 29 | Colombia | 76 1000 t | 2023 | down 9.5% | flat |
| 30 | Lithuania | 72 1000 t | 2023 | up 140.0% | volatile |
| 31 | Belarus | 70 1000 t | 2023 | up 12.9% | rising |
| 32 | Poland | 65 1000 t | 2023 | up 12.1% | falling |
| 33 | Kenya | 63 1000 t | 2023 | up 215.0% | rising |
| 34 | Latvia | 60 1000 t | 2023 | up 900.0% | volatile |
| 35 | Argentina | 54 1000 t | 2023 | up 25.6% | volatile |
| 36 | United Arab Emirates | 52 1000 t | 2023 | up 33.3% | rising |
| 36 | Philippines | 52 1000 t | 2023 | up 52.9% | rising |
| 38 | Czechia | 51 1000 t | 2023 | up 131.8% | rising |
| 38 | Morocco | 51 1000 t | 2023 | up 54.5% | rising |
| 38 | Venezuela (Bolivarian Republic of) | 51 1000 t | 2023 | up 183.3% | volatile |
| 41 | Yemen | 50 1000 t | 2023 | up 455.6% | volatile |
| 42 | Myanmar | 43 1000 t | 2023 | down 28.3% | falling |
| 43 | Denmark | 41 1000 t | 2023 | up 127.8% | rising |
| 44 | Malaysia | 37 1000 t | 2023 | up 48.0% | rising |
| 45 | Sri Lanka | 36 1000 t | 2023 | up 12.5% | rising |
| 46 | Sweden | 35 1000 t | 2023 | down 2.8% | rising |
| 47 | Djibouti | 34 1000 t | 2023 | up 100.0% | rising |
| 48 | Greece | 33 1000 t | 2023 | up 3,200.0% | volatile |
| 49 | Estonia | 29 1000 t | 2023 | up 81.2% | rising |
| 49 | United Republic of Tanzania | 29 1000 t | 2023 | up 11.5% | rising |
| 51 | Uganda | 27 1000 t | 2023 | up 200.0% | rising |
| 52 | Brazil | 26 1000 t | 2023 | down 39.5% | falling |
| 52 | Malawi | 26 1000 t | 2023 | up 271.4% | volatile |
| 54 | Switzerland | 24 1000 t | 2023 | down 17.2% | falling |
| 54 | Algeria | 24 1000 t | 2023 | up 33.3% | rising |
| 54 | Slovakia | 24 1000 t | 2023 | up 242.9% | rising |
| 57 | Egypt | 23 1000 t | 2023 | up 53.3% | rising |
| 58 | Portugal | 22 1000 t | 2023 | up 340.0% | volatile |
| 59 | Moldova | 21 1000 t | 2023 | up 110.0% | rising |
| 59 | Senegal | 21 1000 t | 2023 | up 200.0% | volatile |
| 59 | Republic of Moldova | 21 1000 t | 2023 | up 110.0% | rising |
| 62 | Bulgaria | 20 1000 t | 2023 | up 566.7% | volatile |
| 62 | China, Taiwan Province of | 20 1000 t | 2023 | up 5.3% | flat |
| 64 | Austria | 19 1000 t | 2023 | up 5.6% | falling |
| 64 | Mexico | 19 1000 t | 2023 | unchanged | falling |
| 66 | Turkmenistan | 18 1000 t | 2023 | up 100.0% | rising |
| 67 | Hungary | 17 1000 t | 2023 | down 46.9% | falling |
| 67 | Kyrgyzstan | 17 1000 t | 2023 | up 466.7% | volatile |
| 67 | Madagascar | 17 1000 t | 2023 | up 21.4% | rising |
| 67 | Uzbekistan | 17 1000 t | 2023 | up 142.9% | rising |
| 71 | Tajikistan | 16 1000 t | 2023 | up 77.8% | rising |
| 72 | Turkey | 15 1000 t | 2023 | up 7.1% | volatile |
| 72 | Türkiye | 15 1000 t | 2023 | up 7.1% | volatile |
| 74 | Israel | 13 1000 t | 2023 | up 333.3% | volatile |
| 74 | Saudi Arabia | 13 1000 t | 2023 | up 30.0% | rising |
| 76 | Cameroon | 12 1000 t | 2023 | up 200.0% | volatile |
| 76 | South Africa | 12 1000 t | 2023 | down 14.3% | falling |
| 78 | Azerbaijan | 11 1000 t | 2023 | down 8.3% | volatile |
| 78 | Rwanda | 11 1000 t | 2023 | down 50.0% | falling |
| 80 | Congo | 10 1000 t | 2023 | up 42.9% | rising |
| 80 | Thailand | 10 1000 t | 2023 | up 25.0% | rising |
| 82 | Mauritania | 9 1000 t | 2023 | unchanged | falling |
| 82 | New Zealand | 9 1000 t | 2023 | down 10.0% | falling |
| 82 | Democratic Republic of the Congo | 9 1000 t | 2023 | up 200.0% | rising |
| 85 | Caribbean | 7 1000 t | 2023 | down 41.7% | volatile |
| 86 | Libya | 6 1000 t | 2023 | up 20.0% | rising |
| 86 | Paraguay | 6 1000 t | 2023 | up 20.0% | rising |
| 86 | Tunisia | 6 1000 t | 2023 | down 45.5% | falling |
| 86 | Vietnam | 6 1000 t | 2023 | up 500.0% | volatile |
| 86 | Viet Nam | 6 1000 t | 2023 | up 500.0% | volatile |
| 91 | Bosnia and Herzegovina | 5 1000 t | 2023 | up 25.0% | falling |
| 91 | Chile | 5 1000 t | 2023 | down 16.7% | falling |
| 91 | Ecuador | 5 1000 t | 2023 | up 25.0% | rising |
| 91 | Fiji | 5 1000 t | 2021 | down 28.6% | falling |
| 91 | Indonesia | 5 1000 t | 2023 | down 37.5% | flat |
| 91 | Oman | 5 1000 t | 2023 | up 150.0% | volatile |
| 91 | Bolivia (Plurinational State of) | 5 1000 t | 2023 | unchanged | falling |
| 91 | Republic of Korea | 5 1000 t | 2023 | up 66.7% | rising |
| 99 | Ireland | 4 1000 t | 2023 | unchanged | falling |
| 99 | Lebanon | 4 1000 t | 2023 | unchanged | rising |
| 99 | Mauritius | 4 1000 t | 2023 | unchanged | flat |
| 99 | Qatar | 4 1000 t | 2023 | — | flat |
| 99 | Syria | 4 1000 t | 2023 | down 20.0% | volatile |
| 99 | Trinidad and Tobago | 4 1000 t | 2023 | down 20.0% | falling |
| 99 | Syrian Arab Republic | 4 1000 t | 2023 | down 20.0% | volatile |
| 106 | Armenia | 3 1000 t | 2023 | up 200.0% | volatile |
| 106 | Burkina Faso | 3 1000 t | 2023 | up 200.0% | volatile |
| 106 | Bahrain | 3 1000 t | 2023 | — | rising |
| 106 | Guyana | 3 1000 t | 2023 | unchanged | falling |
| 106 | Sierra Leone | 3 1000 t | 2023 | down 50.0% | falling |
| 106 | Uruguay | 3 1000 t | 2023 | unchanged | flat |
| 112 | Belize | 2 1000 t | 2023 | up 100.0% | rising |
| 112 | Gambia | 2 1000 t | 2023 | — | volatile |
| 112 | Lesotho | 2 1000 t | 2023 | unchanged | volatile |
| 112 | North Macedonia | 2 1000 t | 2023 | unchanged | falling |
| 112 | Montenegro | 2 1000 t | 2023 | up 100.0% | rising |
| 112 | Serbia | 2 1000 t | 2023 | up 100.0% | rising |
| 118 | Bhutan | 1 1000 t | 2023 | — | flat |
| 118 | Cote d'Ivoire | 1 1000 t | 2023 | down 50.0% | volatile |
| 118 | Dominican Republic | 1 1000 t | 2023 | unchanged | volatile |
| 118 | Georgia | 1 1000 t | 2023 | down 50.0% | falling |
| 118 | Croatia | 1 1000 t | 2023 | — | volatile |
| 118 | Haiti | 1 1000 t | 2023 | down 75.0% | volatile |
| 118 | Jamaica | 1 1000 t | 2023 | unchanged | flat |
| 118 | Jordan | 1 1000 t | 2023 | unchanged | volatile |
| 118 | Kuwait | 1 1000 t | 2023 | — | volatile |
| 118 | Liberia | 1 1000 t | 2023 | down 50.0% | volatile |
| 118 | Mozambique | 1 1000 t | 2023 | up 112.5% | volatile |
| 118 | Niger | 1 1000 t | 2023 | unchanged | volatile |
| 118 | Nepal | 1 1000 t | 2023 | down 95.2% | volatile |
| 118 | Panama | 1 1000 t | 2023 | unchanged | rising |
| 118 | Suriname | 1 1000 t | 2023 | unchanged | rising |
| 118 | Slovenia | 1 1000 t | 2023 | down 50.0% | volatile |
| 118 | Zimbabwe | 1 1000 t | 2023 | down 88.9% | volatile |
| 118 | Côte d'Ivoire | 1 1000 t | 2023 | down 50.0% | volatile |
| 136 | Barbados | 0 1000 t | 2023 | down 100.0% | volatile |
| 136 | Costa Rica | 0 1000 t | 2023 | — | volatile |
| 136 | Cyprus | 0 1000 t | 2023 | — | volatile |
| 136 | Ghana | 0 1000 t | 2023 | — | volatile |
| 136 | Guinea | 0 1000 t | 2023 | down 100.0% | volatile |
| 136 | Guinea-Bissau | 0 1000 t | 2023 | — | volatile |
| 136 | Guatemala | 0 1000 t | 2023 | down 100.0% | volatile |
| 136 | Cambodia | 0 1000 t | 2023 | — | volatile |
| 136 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 136 | Luxembourg | 0 1000 t | 2023 | — | volatile |
| 136 | Namibia | 0 1000 t | 2023 | — | volatile |
| 136 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 136 | Eswatini | 0 1000 t | 2023 | — | volatile |
| 136 | Zambia | 0 1000 t | 2023 | down 100.0% | volatile |
| 136 | Melanesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 191 | Botswana | -1 1000 t | 2023 | — | flat |
| 192 | Iran (Islamic Republic of) | -52 1000 t | 2023 | down 642.9% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 14,213 1000 t
- Asia 6,585 1000 t
- Europe 4,673 1000 t
- Eastern Asia 4,148 1000 t
- European Union (27) 2,379 1000 t
- Eastern Europe 2,228 1000 t
- Americas 1,843 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,824 1000 t
- Southern Asia 1,774 1000 t
- Northern America 1,494 1000 t
- Least Developed Countries (LDCs) 1,227 1000 t
- United States of America 1,011 1000 t
- Low Income Food Deficit Countries (LIFDCs) 979 1000 t
- Africa 950 1000 t
- Western Europe 939 1000 t
- Land Locked Developing Countries (LLDCs) 932 1000 t
- Southern Europe 852 1000 t
- Eastern Africa 742 1000 t
- Northern Europe 653 1000 t
- South America 319 1000 t
- Western Asia 307 1000 t
- Central Asia 203 1000 t
- Oceania 162 1000 t
- South-Eastern Asia 153 1000 t
- Northern Africa 114 1000 t
- Western Africa 47 1000 t
- Middle Africa 35 1000 t
- Central America 23 1000 t
- Small island developing States (SIDS) 17 1000 t
- Southern Africa 13 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.