Pulses, Other and products — Feed 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
Pulses, Other and products — Feed is currently reported for 174 countries. The highest value is 2,726 1000 t in India; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 3 1000 t, and the mean is 85.91 1000 t.
Over the past decade 63 countries rose and 37 fell. The largest increase was in Ireland (up 7,500.0%), and the largest decrease in Botswana (down 100.0%).
Pulses, Other and products — Feed: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 2,726 1000 t | 2023 | up 77.5% | rising |
| 2 | Australia | 1,192 1000 t | 2023 | up 96.1% | rising |
| 2 | Australia and New Zealand | 1,192 1000 t | 2023 | up 96.1% | rising |
| 4 | China | 1,022 1000 t | 2023 | up 36.4% | rising |
| 5 | China, mainland | 1,012 1000 t | 2023 | up 35.7% | rising |
| 6 | Nigeria | 963 1000 t | 2023 | down 34.3% | flat |
| 7 | United Kingdom of Great Britain and Northern Ireland | 852 1000 t | 2023 | up 475.7% | volatile |
| 8 | Poland | 648 1000 t | 2023 | up 153.1% | rising |
| 9 | France | 456 1000 t | 2023 | up 270.7% | volatile |
| 10 | Uruguay | 444 1000 t | 2023 | up 32.1% | flat |
| 11 | Norway | 367 1000 t | 2023 | up 1,083.9% | volatile |
| 12 | Ghana | 305 1000 t | 2023 | up 52.5% | rising |
| 13 | Russian Federation | 290 1000 t | 2023 | down 45.6% | falling |
| 14 | Germany | 284 1000 t | 2023 | up 198.9% | rising |
| 15 | Myanmar | 227 1000 t | 2023 | down 59.4% | falling |
| 16 | Niger | 209 1000 t | 2023 | down 6.7% | falling |
| 17 | Bangladesh | 141 1000 t | 2023 | up 327.3% | volatile |
| 18 | Malawi | 138 1000 t | 2023 | up 50.0% | rising |
| 19 | Greece | 134 1000 t | 2023 | up 688.2% | volatile |
| 20 | Cambodia | 132 1000 t | 2023 | — | volatile |
| 21 | Spain | 112 1000 t | 2023 | up 16.7% | flat |
| 22 | Kenya | 97 1000 t | 2023 | up 4.3% | flat |
| 23 | Canada | 94 1000 t | 2023 | down 43.4% | falling |
| 24 | Italy | 93 1000 t | 2023 | up 97.9% | rising |
| 24 | Netherlands (Kingdom of the) | 93 1000 t | 2023 | up 447.1% | volatile |
| 26 | Türkiye | 85 1000 t | 2023 | down 69.4% | falling |
| 27 | Oman | 83 1000 t | 2023 | up 4,050.0% | volatile |
| 28 | United Republic of Tanzania | 80 1000 t | 2023 | down 8.0% | falling |
| 29 | Ireland | 76 1000 t | 2023 | up 7,500.0% | volatile |
| 30 | Djibouti | 74 1000 t | 2023 | up 1,133.3% | volatile |
| 31 | Kyrgyzstan | 72 1000 t | 2023 | up 7,100.0% | volatile |
| 32 | Denmark | 68 1000 t | 2023 | up 518.2% | volatile |
| 33 | Senegal | 64 1000 t | 2023 | — | volatile |
| 34 | Morocco | 62 1000 t | 2023 | up 1.6% | falling |
| 35 | Uzbekistan | 54 1000 t | 2023 | up 157.1% | volatile |
| 35 | Iran (Islamic Republic of) | 54 1000 t | 2023 | up 17.4% | rising |
| 37 | Sweden | 53 1000 t | 2023 | up 1,666.7% | volatile |
| 38 | Nepal | 52 1000 t | 2023 | up 67.7% | rising |
| 38 | Syrian Arab Republic | 52 1000 t | 2023 | up 116.7% | rising |
| 40 | Serbia | 41 1000 t | 2023 | down 2.4% | falling |
| 41 | Ethiopia | 40 1000 t | 2023 | down 21.6% | rising |
| 41 | Tunisia | 40 1000 t | 2023 | up 42.9% | rising |
| 43 | Pakistan | 39 1000 t | 2023 | down 9.3% | volatile |
| 43 | Republic of Korea | 39 1000 t | 2023 | up 56.0% | volatile |
| 45 | Algeria | 36 1000 t | 2023 | up 44.0% | rising |
| 46 | Belarus | 33 1000 t | 2023 | down 60.2% | falling |
| 47 | Egypt | 32 1000 t | 2023 | down 71.9% | falling |
| 48 | Austria | 30 1000 t | 2023 | up 20.0% | rising |
| 49 | Lithuania | 26 1000 t | 2023 | up 13.0% | volatile |
| 50 | Israel | 24 1000 t | 2023 | up 200.0% | volatile |
| 51 | Peru | 23 1000 t | 2023 | up 15.0% | rising |
| 53 | Mexico | 22 1000 t | 2023 | down 37.1% | rising |
| 54 | Portugal | 21 1000 t | 2023 | up 320.0% | volatile |
| 55 | Saudi Arabia | 17 1000 t | 2023 | — | volatile |
| 56 | Chile | 16 1000 t | 2023 | up 14.3% | volatile |
| 57 | Bosnia and Herzegovina | 15 1000 t | 2023 | up 1,400.0% | volatile |
| 58 | Bulgaria | 14 1000 t | 2023 | up 100.0% | volatile |
| 58 | Malaysia | 14 1000 t | 2023 | up 16.7% | volatile |
| 60 | Colombia | 13 1000 t | 2023 | up 160.0% | rising |
| 60 | Czechia | 13 1000 t | 2023 | up 44.4% | rising |
| 60 | Guatemala | 13 1000 t | 2023 | up 160.0% | rising |
| 60 | Viet Nam | 13 1000 t | 2023 | up 550.0% | volatile |
| 64 | Finland | 12 1000 t | 2023 | — | volatile |
| 64 | Iraq | 12 1000 t | 2023 | up 300.0% | volatile |
| 64 | Tajikistan | 12 1000 t | 2023 | down 73.9% | volatile |
| 67 | Romania | 11 1000 t | 2023 | up 450.0% | volatile |
| 67 | Ukraine | 11 1000 t | 2023 | down 83.6% | falling |
| 69 | Haiti | 10 1000 t | 2023 | up 11.1% | volatile |
| 69 | China, Hong Kong SAR | 10 1000 t | 2023 | up 900.0% | volatile |
| 71 | North Macedonia | 9 1000 t | 2023 | down 10.0% | falling |
| 72 | Belgium | 8 1000 t | 2023 | up 33.3% | rising |
| 72 | Libya | 8 1000 t | 2023 | up 100.0% | volatile |
| 72 | Yemen | 8 1000 t | 2023 | up 60.0% | volatile |
| 75 | Angola | 7 1000 t | 2023 | up 75.0% | rising |
| 75 | Dominican Republic | 7 1000 t | 2023 | — | volatile |
| 77 | Azerbaijan | 6 1000 t | 2023 | down 25.0% | rising |
| 77 | Cameroon | 6 1000 t | 2023 | up 500.0% | rising |
| 77 | Cuba | 6 1000 t | 2019 | up 20.0% | rising |
| 80 | Switzerland | 5 1000 t | 2023 | up 150.0% | rising |
| 80 | Hungary | 5 1000 t | 2023 | — | volatile |
| 80 | Kuwait | 5 1000 t | 2023 | — | volatile |
| 80 | Slovakia | 5 1000 t | 2023 | down 28.6% | falling |
| 84 | Ecuador | 4 1000 t | 2023 | up 33.3% | volatile |
| 84 | Indonesia | 4 1000 t | 2023 | down 66.7% | falling |
| 84 | Bolivia (Plurinational State of) | 4 1000 t | 2023 | up 300.0% | rising |
| 87 | Kazakhstan | 3 1000 t | 2023 | down 88.0% | volatile |
| 87 | Lebanon | 3 1000 t | 2023 | up 200.0% | rising |
| 87 | Sri Lanka | 3 1000 t | 2023 | down 40.0% | rising |
| 87 | Latvia | 3 1000 t | 2023 | down 25.0% | volatile |
| 87 | Madagascar | 3 1000 t | 2023 | up 50.0% | falling |
| 92 | Albania | 2 1000 t | 2023 | up 100.0% | rising |
| 92 | United Arab Emirates | 2 1000 t | 2023 | down 85.7% | volatile |
| 92 | Burkina Faso | 2 1000 t | 2023 | down 99.1% | volatile |
| 92 | Bahrain | 2 1000 t | 2023 | — | falling |
| 92 | Costa Rica | 2 1000 t | 2023 | — | volatile |
| 92 | Jordan | 2 1000 t | 2023 | up 100.0% | volatile |
| 92 | Slovenia | 2 1000 t | 2023 | — | volatile |
| 99 | Afghanistan | 1 1000 t | 2023 | unchanged | volatile |
| 99 | Brazil | 1 1000 t | 2023 | unchanged | falling |
| 99 | Barbados | 1 1000 t | 2023 | unchanged | rising |
| 99 | Estonia | 1 1000 t | 2023 | — | volatile |
| 99 | Fiji | 1 1000 t | 2023 | — | volatile |
| 99 | Guinea | 1 1000 t | 2023 | down 75.0% | volatile |
| 99 | Gambia | 1 1000 t | 2023 | — | volatile |
| 99 | Croatia | 1 1000 t | 2023 | down 50.0% | volatile |
| 99 | Mauritius | 1 1000 t | 2023 | — | volatile |
| 99 | Panama | 1 1000 t | 2023 | — | volatile |
| 99 | Philippines | 1 1000 t | 2023 | unchanged | volatile |
| 99 | Qatar | 1 1000 t | 2023 | — | falling |
| 99 | Sierra Leone | 1 1000 t | 2023 | down 50.0% | volatile |
| 99 | Thailand | 1 1000 t | 2023 | — | volatile |
| 99 | Zimbabwe | 1 1000 t | 2023 | — | volatile |
| 99 | Melanesia | 1 1000 t | 2023 | — | volatile |
| 99 | Republic of Moldova | 1 1000 t | 2023 | — | volatile |
| 99 | Lao People's Democratic Republic | 1 1000 t | 2023 | — | volatile |
| 117 | Argentina | 0 1000 t | 2023 | — | volatile |
| 117 | Armenia | 0 1000 t | 2023 | — | volatile |
| 117 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 117 | Bahamas | 0 1000 t | 2023 | — | flat |
| 117 | Belize | 0 1000 t | 2023 | — | flat |
| 117 | Bhutan | 0 1000 t | 2023 | — | flat |
| 117 | Botswana | 0 1000 t | 2023 | down 100.0% | volatile |
| 117 | Congo | 0 1000 t | 2023 | — | volatile |
| 117 | Comoros | 0 1000 t | 2023 | — | volatile |
| 117 | Cyprus | 0 1000 t | 2023 | — | flat |
| 117 | Gabon | 0 1000 t | 2023 | — | flat |
| 117 | Georgia | 0 1000 t | 2023 | — | flat |
| 117 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 117 | Grenada | 0 1000 t | 2023 | — | flat |
| 117 | Guyana | 0 1000 t | 2023 | — | flat |
| 117 | Honduras | 0 1000 t | 2023 | — | flat |
| 117 | Iceland | 0 1000 t | 2023 | — | flat |
| 117 | Jamaica | 0 1000 t | 2023 | down 100.0% | volatile |
| 117 | Liberia | 0 1000 t | 2023 | — | flat |
| 117 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 117 | Lesotho | 0 1000 t | 2023 | — | flat |
| 117 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 117 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 117 | Malta | 0 1000 t | 2023 | down 100.0% | volatile |
| 117 | Montenegro | 0 1000 t | 2023 | — | flat |
| 117 | Mongolia | 0 1000 t | 2023 | — | flat |
| 117 | Mozambique | 0 1000 t | 2023 | down 100.0% | volatile |
| 117 | Mauritania | 0 1000 t | 2023 | down 100.0% | volatile |
| 117 | Namibia | 0 1000 t | 2023 | down 100.0% | volatile |
| 117 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 117 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 117 | New Zealand | 0 1000 t | 2023 | — | flat |
| 117 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 117 | Paraguay | 0 1000 t | 2023 | — | flat |
| 117 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 117 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 117 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 117 | El Salvador | 0 1000 t | 2023 | — | flat |
| 117 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 117 | Suriname | 0 1000 t | 2023 | — | flat |
| 117 | Eswatini | 0 1000 t | 2023 | — | flat |
| 117 | Seychelles | 0 1000 t | 2023 | — | flat |
| 117 | Turkmenistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 117 | Tonga | 0 1000 t | 2023 | — | flat |
| 117 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 117 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 117 | Uganda | 0 1000 t | 2023 | — | flat |
| 117 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 117 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 117 | Samoa | 0 1000 t | 2023 | — | flat |
| 117 | Zambia | 0 1000 t | 2023 | — | volatile |
| 117 | Micronesia | 0 1000 t | 2023 | — | flat |
| 117 | Cabo Verde | 0 1000 t | 2023 | — | volatile |
| 117 | Polynesia | 0 1000 t | 2023 | — | flat |
| 117 | Democratic Republic of the Congo | 0 1000 t | 2023 | down 100.0% | volatile |
| 117 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 117 | Côte d'Ivoire | 0 1000 t | 2023 | down 100.0% | volatile |
| 117 | China, Taiwan Province of | 0 1000 t | 2023 | down 100.0% | volatile |
| 117 | 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 13,179 1000 t
- Asia 4,975 1000 t
- Europe 3,795 1000 t
- Southern Asia 3,016 1000 t
- Africa 2,222 1000 t
- European Union (27) 2,168 1000 t
- Western Africa 1,570 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,539 1000 t
- Northern Europe 1,457 1000 t
- Least Developed Countries (LDCs) 1,224 1000 t
- Oceania 1,193 1000 t
- Eastern Asia 1,116 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.