Peas — Food 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
174
Highest
1,222 1000 t
China
Lowest
0 1000 t
China, Macao SAR
Median
4 1000 t
Years covered
14
2010–2023
Data points
2,769
What the numbers show
Peas — Food is currently reported for 174 countries. The highest value is 1,222 1000 t in China; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 4 1000 t, and the mean is 38.25 1000 t.
Over the past decade 61 countries rose and 36 fell. The largest increase was in Afghanistan (up 3,100.0%), and the largest decrease in Guinea (down 100.0%).
Peas — Food: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 1,222 1000 t | 2023 | up 84.3% | rising |
| 2 | China, mainland | 1,201 1000 t | 2023 | up 86.8% | rising |
| 3 | India | 995 1000 t | 2023 | down 49.7% | falling |
| 4 | Ethiopia | 469 1000 t | 2023 | up 33.6% | rising |
| 5 | Bangladesh | 251 1000 t | 2023 | down 13.1% | rising |
| 6 | Pakistan | 230 1000 t | 2023 | up 46.5% | volatile |
| 7 | Russian Federation | 207 1000 t | 2023 | down 20.4% | flat |
| 8 | Italy | 152 1000 t | 2023 | up 70.8% | rising |
| 9 | Iraq | 117 1000 t | 2023 | up 963.6% | volatile |
| 10 | Spain | 80 1000 t | 2023 | up 135.3% | rising |
| 11 | Peru | 76 1000 t | 2023 | up 10.1% | rising |
| 12 | Colombia | 72 1000 t | 2023 | down 10.0% | rising |
| 13 | Norway | 70 1000 t | 2023 | up 180.0% | volatile |
| 13 | Australia and New Zealand | 70 1000 t | 2023 | up 600.0% | volatile |
| 15 | Australia | 67 1000 t | 2023 | up 1,240.0% | volatile |
| 16 | Afghanistan | 64 1000 t | 2023 | up 3,100.0% | volatile |
| 16 | Kazakhstan | 64 1000 t | 2023 | up 700.0% | volatile |
| 18 | Kenya | 58 1000 t | 2023 | up 190.0% | rising |
| 19 | Philippines | 50 1000 t | 2023 | up 47.1% | rising |
| 19 | Yemen | 50 1000 t | 2023 | up 455.6% | volatile |
| 19 | Venezuela (Bolivarian Republic of) | 50 1000 t | 2023 | up 194.1% | volatile |
| 22 | Argentina | 49 1000 t | 2023 | up 32.4% | volatile |
| 23 | Morocco | 47 1000 t | 2023 | up 51.6% | rising |
| 24 | Finland | 41 1000 t | 2023 | up 583.3% | volatile |
| 25 | Malaysia | 36 1000 t | 2023 | up 44.0% | rising |
| 25 | Poland | 36 1000 t | 2023 | down 12.2% | falling |
| 27 | Sri Lanka | 35 1000 t | 2023 | up 16.7% | rising |
| 28 | United Arab Emirates | 31 1000 t | 2023 | up 55.0% | rising |
| 29 | Myanmar | 27 1000 t | 2023 | unchanged | falling |
| 30 | Brazil | 26 1000 t | 2023 | down 39.5% | falling |
| 31 | Netherlands (Kingdom of the) | 24 1000 t | 2023 | up 60.0% | rising |
| 32 | Uganda | 23 1000 t | 2023 | up 283.3% | rising |
| 33 | Egypt | 22 1000 t | 2023 | up 46.7% | rising |
| 34 | Malawi | 21 1000 t | 2023 | up 2,000.0% | volatile |
| 35 | Algeria | 20 1000 t | 2023 | up 17.6% | flat |
| 35 | United Republic of Tanzania | 20 1000 t | 2023 | up 233.3% | volatile |
| 35 | China, Taiwan Province of | 20 1000 t | 2023 | up 5.3% | flat |
| 38 | Czechia | 19 1000 t | 2023 | up 58.3% | rising |
| 38 | Portugal | 19 1000 t | 2023 | up 280.0% | volatile |
| 40 | Belgium | 18 1000 t | 2023 | down 10.0% | rising |
| 40 | Turkmenistan | 18 1000 t | 2023 | up 100.0% | rising |
| 42 | Germany | 17 1000 t | 2023 | down 43.3% | falling |
| 42 | Denmark | 17 1000 t | 2023 | up 325.0% | volatile |
| 42 | Senegal | 17 1000 t | 2023 | up 142.9% | rising |
| 45 | Kyrgyzstan | 16 1000 t | 2023 | up 433.3% | volatile |
| 45 | Mexico | 16 1000 t | 2023 | up 6.7% | flat |
| 45 | United Kingdom of Great Britain and Northern Ireland | 16 1000 t | 2023 | down 87.0% | volatile |
| 48 | Madagascar | 15 1000 t | 2023 | up 25.0% | rising |
| 48 | Ukraine | 15 1000 t | 2023 | down 71.7% | falling |
| 50 | Estonia | 14 1000 t | 2023 | up 27.3% | rising |
| 50 | France | 14 1000 t | 2023 | down 17.6% | falling |
| 50 | Slovakia | 14 1000 t | 2023 | up 366.7% | volatile |
| 53 | Saudi Arabia | 13 1000 t | 2023 | up 30.0% | rising |
| 53 | Tajikistan | 13 1000 t | 2023 | up 225.0% | rising |
| 55 | Republic of Moldova | 12 1000 t | 2023 | up 300.0% | rising |
| 55 | Türkiye | 12 1000 t | 2023 | unchanged | volatile |
| 57 | Djibouti | 11 1000 t | 2023 | up 37.5% | rising |
| 57 | Hungary | 11 1000 t | 2023 | down 50.0% | falling |
| 57 | Sweden | 11 1000 t | 2023 | down 8.3% | rising |
| 60 | Canada | 10 1000 t | 2023 | down 66.7% | rising |
| 60 | Switzerland | 10 1000 t | 2023 | unchanged | flat |
| 60 | Rwanda | 10 1000 t | 2023 | down 47.4% | falling |
| 60 | Thailand | 10 1000 t | 2023 | up 42.9% | rising |
| 64 | Belarus | 9 1000 t | 2023 | — | rising |
| 64 | Israel | 9 1000 t | 2023 | up 200.0% | volatile |
| 64 | Mauritania | 9 1000 t | 2023 | unchanged | falling |
| 67 | Congo | 8 1000 t | 2023 | up 33.3% | rising |
| 67 | Uzbekistan | 8 1000 t | 2023 | up 60.0% | rising |
| 69 | Greece | 7 1000 t | 2023 | up 600.0% | volatile |
| 69 | Caribbean | 7 1000 t | 2023 | down 36.4% | volatile |
| 71 | Tunisia | 6 1000 t | 2023 | down 45.5% | falling |
| 72 | Bosnia and Herzegovina | 5 1000 t | 2023 | up 66.7% | flat |
| 72 | Chile | 5 1000 t | 2023 | down 16.7% | falling |
| 72 | Ecuador | 5 1000 t | 2023 | up 25.0% | rising |
| 72 | Lithuania | 5 1000 t | 2023 | down 28.6% | falling |
| 72 | Paraguay | 5 1000 t | 2023 | unchanged | rising |
| 72 | Bolivia (Plurinational State of) | 5 1000 t | 2023 | unchanged | falling |
| 72 | Republic of Korea | 5 1000 t | 2023 | up 66.7% | rising |
| 79 | Bulgaria | 4 1000 t | 2023 | up 300.0% | volatile |
| 79 | Fiji | 4 1000 t | 2021 | down 42.9% | falling |
| 79 | Indonesia | 4 1000 t | 2023 | down 50.0% | falling |
| 79 | Ireland | 4 1000 t | 2023 | up 33.3% | falling |
| 79 | Lebanon | 4 1000 t | 2023 | unchanged | rising |
| 79 | Libya | 4 1000 t | 2023 | unchanged | rising |
| 79 | Mauritius | 4 1000 t | 2023 | unchanged | flat |
| 79 | Oman | 4 1000 t | 2023 | up 300.0% | volatile |
| 79 | Qatar | 4 1000 t | 2023 | — | rising |
| 79 | Trinidad and Tobago | 4 1000 t | 2023 | down 20.0% | falling |
| 89 | Armenia | 3 1000 t | 2023 | up 200.0% | volatile |
| 89 | Burkina Faso | 3 1000 t | 2023 | up 200.0% | volatile |
| 89 | Bahrain | 3 1000 t | 2023 | — | rising |
| 89 | Cameroon | 3 1000 t | 2023 | up 200.0% | volatile |
| 89 | Guyana | 3 1000 t | 2023 | unchanged | falling |
| 89 | New Zealand | 3 1000 t | 2023 | down 25.0% | volatile |
| 89 | Romania | 3 1000 t | 2023 | unchanged | rising |
| 89 | Sierra Leone | 3 1000 t | 2023 | down 40.0% | falling |
| 97 | Austria | 2 1000 t | 2023 | up 100.0% | rising |
| 97 | Gambia | 2 1000 t | 2023 | — | volatile |
| 97 | Lesotho | 2 1000 t | 2023 | unchanged | volatile |
| 97 | North Macedonia | 2 1000 t | 2023 | unchanged | flat |
| 97 | Montenegro | 2 1000 t | 2023 | up 100.0% | rising |
| 97 | Serbia | 2 1000 t | 2023 | up 100.0% | rising |
| 97 | Uruguay | 2 1000 t | 2023 | unchanged | flat |
| 97 | Syrian Arab Republic | 2 1000 t | 2023 | down 33.3% | volatile |
| 97 | Viet Nam | 2 1000 t | 2023 | — | volatile |
| 106 | Belize | 1 1000 t | 2023 | unchanged | rising |
| 106 | Bhutan | 1 1000 t | 2023 | — | flat |
| 106 | Dominican Republic | 1 1000 t | 2023 | unchanged | volatile |
| 106 | Croatia | 1 1000 t | 2023 | — | volatile |
| 106 | Haiti | 1 1000 t | 2023 | down 75.0% | volatile |
| 106 | Jamaica | 1 1000 t | 2023 | unchanged | flat |
| 106 | Jordan | 1 1000 t | 2023 | unchanged | volatile |
| 106 | Kuwait | 1 1000 t | 2023 | — | volatile |
| 106 | Liberia | 1 1000 t | 2023 | down 50.0% | volatile |
| 106 | Niger | 1 1000 t | 2023 | unchanged | falling |
| 106 | Panama | 1 1000 t | 2023 | unchanged | rising |
| 106 | Suriname | 1 1000 t | 2023 | unchanged | flat |
| 106 | Zimbabwe | 1 1000 t | 2023 | down 88.9% | volatile |
| 106 | Democratic Republic of the Congo | 1 1000 t | 2023 | down 66.7% | falling |
| 106 | Côte d'Ivoire | 1 1000 t | 2023 | down 50.0% | volatile |
| 121 | Angola | 0 1000 t | 2023 | — | flat |
| 121 | Albania | 0 1000 t | 2023 | — | flat |
| 121 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 121 | Bahamas | 0 1000 t | 2023 | — | flat |
| 121 | Barbados | 0 1000 t | 2023 | — | volatile |
| 121 | Botswana | 0 1000 t | 2023 | — | volatile |
| 121 | Comoros | 0 1000 t | 2023 | — | flat |
| 121 | Costa Rica | 0 1000 t | 2023 | — | volatile |
| 121 | Cyprus | 0 1000 t | 2023 | — | flat |
| 121 | Gabon | 0 1000 t | 2023 | — | flat |
| 121 | Ghana | 0 1000 t | 2023 | — | flat |
| 121 | Guinea | 0 1000 t | 2023 | down 100.0% | volatile |
| 121 | Guinea-Bissau | 0 1000 t | 2023 | — | volatile |
| 121 | Grenada | 0 1000 t | 2023 | — | flat |
| 121 | Guatemala | 0 1000 t | 2023 | down 100.0% | volatile |
| 121 | Honduras | 0 1000 t | 2023 | — | flat |
| 121 | Iceland | 0 1000 t | 2023 | — | flat |
| 121 | Cambodia | 0 1000 t | 2023 | — | volatile |
| 121 | Kiribati | 0 1000 t | 2023 | — | flat |
| 121 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 121 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 121 | Luxembourg | 0 1000 t | 2023 | — | volatile |
| 121 | Maldives | 0 1000 t | 2023 | — | flat |
| 121 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 121 | Malta | 0 1000 t | 2023 | — | flat |
| 121 | Mongolia | 0 1000 t | 2023 | — | flat |
| 121 | Mozambique | 0 1000 t | 2023 | — | flat |
| 121 | Namibia | 0 1000 t | 2023 | — | volatile |
| 121 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 121 | Nigeria | 0 1000 t | 2023 | — | flat |
| 121 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 121 | Nepal | 0 1000 t | 2023 | down 100.0% | volatile |
| 121 | Nauru | 0 1000 t | 2023 | — | flat |
| 121 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 121 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 121 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 121 | El Salvador | 0 1000 t | 2023 | — | flat |
| 121 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 121 | Slovenia | 0 1000 t | 2023 | down 100.0% | falling |
| 121 | Eswatini | 0 1000 t | 2023 | — | volatile |
| 121 | Seychelles | 0 1000 t | 2023 | — | flat |
| 121 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 121 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 121 | Samoa | 0 1000 t | 2023 | — | flat |
| 121 | Zambia | 0 1000 t | 2023 | down 100.0% | volatile |
| 121 | Micronesia | 0 1000 t | 2023 | — | flat |
| 121 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 121 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 121 | Melanesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 121 | Polynesia | 0 1000 t | 2023 | — | flat |
| 121 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 121 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | volatile |
| 121 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 121 | 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 5,654 1000 t
- Asia 3,322 1000 t
- Southern Asia 1,576 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,568 1000 t
- Eastern Asia 1,234 1000 t
- Least Developed Countries (LDCs) 1,031 1000 t
- Europe 864 1000 t
- Low Income Food Deficit Countries (LIFDCs) 850 1000 t
- Africa 823 1000 t
- Land Locked Developing Countries (LLDCs) 770 1000 t
- Eastern Africa 654 1000 t
- Americas 575 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.