Pulses, Other and products — 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
Pulses, Other and products — Export quantity is currently reported for 157 countries. The highest value is 3,238 1000 t in Australia; the lowest is 0 1000 t in Côte d'Ivoire.
The median across all reporting countries is 0 1000 t, and the mean is 96.9 1000 t.
Over the past decade 38 countries rose and 24 fell. The largest increase was in Lithuania (up 24,100.0%), and the largest decrease in Guatemala (down 100.0%).
Pulses, Other and products — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Australia | 3,238 1000 t | 2023 | up 174.4% | rising |
| 1 | Australia and New Zealand | 3,238 1000 t | 2023 | up 174.4% | rising |
| 3 | Canada | 2,294 1000 t | 2023 | up 19.8% | rising |
| 4 | Türkiye | 917 1000 t | 2023 | up 358.5% | volatile |
| 5 | India | 851 1000 t | 2023 | up 100.7% | volatile |
| 6 | Russian Federation | 735 1000 t | 2023 | up 282.8% | volatile |
| 7 | United Arab Emirates | 515 1000 t | 2023 | up 430.9% | volatile |
| 8 | Myanmar | 381 1000 t | 2023 | up 605.6% | volatile |
| 9 | United Republic of Tanzania | 343 1000 t | 2023 | up 600.0% | volatile |
| 10 | Mozambique | 294 1000 t | 2023 | up 1,533.3% | volatile |
| 11 | United Kingdom of Great Britain and Northern Ireland | 251 1000 t | 2023 | up 20.7% | rising |
| 12 | Lithuania | 242 1000 t | 2023 | up 24,100.0% | volatile |
| 13 | Egypt | 200 1000 t | 2023 | up 506.1% | volatile |
| 14 | Kazakhstan | 169 1000 t | 2023 | up 5,533.3% | volatile |
| 15 | Denmark | 161 1000 t | 2023 | up 5,266.7% | volatile |
| 16 | Latvia | 158 1000 t | 2023 | up 7,800.0% | volatile |
| 17 | France | 104 1000 t | 2023 | down 45.8% | falling |
| 18 | China | 103 1000 t | 2023 | up 30.4% | rising |
| 19 | Ethiopia | 93 1000 t | 2023 | down 23.1% | falling |
| 20 | Argentina | 73 1000 t | 2023 | up 2.8% | rising |
| 21 | Germany | 71 1000 t | 2023 | up 343.8% | volatile |
| 21 | Mexico | 71 1000 t | 2023 | down 37.7% | falling |
| 23 | China, Taiwan Province of | 69 1000 t | 2023 | — | volatile |
| 24 | Belgium | 66 1000 t | 2023 | up 500.0% | volatile |
| 25 | Malawi | 63 1000 t | 2023 | up 530.0% | volatile |
| 26 | Netherlands (Kingdom of the) | 55 1000 t | 2023 | up 587.5% | volatile |
| 27 | Brazil | 54 1000 t | 2023 | up 2,600.0% | volatile |
| 28 | Afghanistan | 39 1000 t | 2023 | — | volatile |
| 29 | China, mainland | 33 1000 t | 2023 | down 57.7% | falling |
| 30 | Poland | 28 1000 t | 2023 | unchanged | volatile |
| 31 | Estonia | 25 1000 t | 2023 | — | volatile |
| 32 | Thailand | 23 1000 t | 2023 | up 360.0% | volatile |
| 33 | Spain | 21 1000 t | 2023 | down 4.5% | rising |
| 33 | Italy | 21 1000 t | 2023 | up 200.0% | rising |
| 35 | Madagascar | 20 1000 t | 2023 | up 185.7% | volatile |
| 35 | Ukraine | 20 1000 t | 2023 | up 185.7% | volatile |
| 37 | Iran (Islamic Republic of) | 16 1000 t | 2023 | up 700.0% | volatile |
| 38 | Kenya | 15 1000 t | 2023 | down 34.8% | volatile |
| 39 | Peru | 12 1000 t | 2023 | down 20.0% | rising |
| 40 | Norway | 11 1000 t | 2023 | up 175.0% | volatile |
| 41 | Bahrain | 10 1000 t | 2023 | — | volatile |
| 41 | Syrian Arab Republic | 10 1000 t | 2023 | down 52.4% | falling |
| 43 | Djibouti | 9 1000 t | 2023 | — | volatile |
| 44 | Nigeria | 8 1000 t | 2023 | up 700.0% | volatile |
| 45 | Bulgaria | 7 1000 t | 2023 | up 600.0% | volatile |
| 45 | Kyrgyzstan | 7 1000 t | 2023 | — | volatile |
| 45 | Portugal | 7 1000 t | 2023 | up 16.7% | volatile |
| 48 | Czechia | 6 1000 t | 2023 | up 200.0% | rising |
| 49 | Venezuela (Bolivarian Republic of) | 5 1000 t | 2023 | — | volatile |
| 50 | Malaysia | 4 1000 t | 2023 | up 33.3% | volatile |
| 50 | Uzbekistan | 4 1000 t | 2023 | down 84.6% | volatile |
| 52 | Austria | 3 1000 t | 2023 | up 50.0% | rising |
| 52 | Chile | 3 1000 t | 2023 | down 72.7% | flat |
| 52 | Sri Lanka | 3 1000 t | 2023 | down 76.9% | volatile |
| 52 | Saudi Arabia | 3 1000 t | 2023 | down 25.0% | falling |
| 52 | Uganda | 3 1000 t | 2023 | up 200.0% | volatile |
| 52 | Viet Nam | 3 1000 t | 2023 | up 200.0% | volatile |
| 58 | Colombia | 2 1000 t | 2023 | — | volatile |
| 58 | Greece | 2 1000 t | 2023 | up 100.0% | volatile |
| 58 | Sweden | 2 1000 t | 2023 | down 50.0% | volatile |
| 58 | Zambia | 2 1000 t | 2023 | — | volatile |
| 58 | Lao People's Democratic Republic | 2 1000 t | 2021 | — | volatile |
| 63 | Azerbaijan | 1 1000 t | 2023 | — | volatile |
| 63 | Burkina Faso | 1 1000 t | 2023 | — | volatile |
| 63 | Bangladesh | 1 1000 t | 2023 | — | volatile |
| 63 | Algeria | 1 1000 t | 2023 | — | volatile |
| 63 | Ecuador | 1 1000 t | 2023 | down 50.0% | volatile |
| 63 | Hungary | 1 1000 t | 2023 | — | volatile |
| 63 | Ireland | 1 1000 t | 2023 | down 50.0% | volatile |
| 63 | Iraq | 1 1000 t | 2023 | — | volatile |
| 63 | Lebanon | 1 1000 t | 2023 | down 66.7% | volatile |
| 63 | Niger | 1 1000 t | 2023 | down 87.5% | volatile |
| 63 | Nepal | 1 1000 t | 2023 | down 92.3% | volatile |
| 63 | Romania | 1 1000 t | 2023 | — | volatile |
| 63 | Slovakia | 1 1000 t | 2023 | unchanged | rising |
| 63 | Slovenia | 1 1000 t | 2023 | — | volatile |
| 63 | Bolivia (Plurinational State of) | 1 1000 t | 2023 | down 66.7% | volatile |
| 63 | Republic of Korea | 1 1000 t | 2023 | — | volatile |
| 79 | Angola | 0 1000 t | 2023 | — | flat |
| 79 | Albania | 0 1000 t | 2023 | — | flat |
| 79 | Armenia | 0 1000 t | 2023 | — | flat |
| 79 | Antigua and Barbuda | 0 1000 t | 2020 | — | flat |
| 79 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 79 | Belarus | 0 1000 t | 2023 | — | volatile |
| 79 | Belize | 0 1000 t | 2023 | — | flat |
| 79 | Barbados | 0 1000 t | 2023 | — | flat |
| 79 | Botswana | 0 1000 t | 2023 | — | volatile |
| 79 | Switzerland | 0 1000 t | 2023 | — | flat |
| 79 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 79 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 79 | Cyprus | 0 1000 t | 2023 | — | flat |
| 79 | Dominican Republic | 0 1000 t | 2023 | — | volatile |
| 79 | Finland | 0 1000 t | 2023 | — | volatile |
| 79 | Fiji | 0 1000 t | 2023 | — | flat |
| 79 | Gabon | 0 1000 t | 2023 | — | flat |
| 79 | Georgia | 0 1000 t | 2023 | — | volatile |
| 79 | Ghana | 0 1000 t | 2023 | — | volatile |
| 79 | Guinea | 0 1000 t | 2023 | — | flat |
| 79 | Guinea-Bissau | 0 1000 t | 2020 | — | flat |
| 79 | Grenada | 0 1000 t | 2019 | — | flat |
| 79 | Guatemala | 0 1000 t | 2023 | down 100.0% | volatile |
| 79 | Guyana | 0 1000 t | 2023 | — | flat |
| 79 | Honduras | 0 1000 t | 2023 | — | flat |
| 79 | Croatia | 0 1000 t | 2023 | — | flat |
| 79 | Haiti | 0 1000 t | 2022 | — | flat |
| 79 | Indonesia | 0 1000 t | 2023 | — | volatile |
| 79 | Iceland | 0 1000 t | 2023 | — | flat |
| 79 | Israel | 0 1000 t | 2023 | — | volatile |
| 79 | Jamaica | 0 1000 t | 2023 | — | flat |
| 79 | Jordan | 0 1000 t | 2023 | down 100.0% | volatile |
| 79 | Cambodia | 0 1000 t | 2023 | — | flat |
| 79 | Kuwait | 0 1000 t | 2023 | — | volatile |
| 79 | Libya | 0 1000 t | 2023 | — | flat |
| 79 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 79 | Lesotho | 0 1000 t | 2023 | — | flat |
| 79 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 79 | Morocco | 0 1000 t | 2023 | down 100.0% | volatile |
| 79 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 79 | Malta | 0 1000 t | 2021 | — | flat |
| 79 | Montenegro | 0 1000 t | 2022 | — | flat |
| 79 | Mauritius | 0 1000 t | 2023 | down 100.0% | volatile |
| 79 | Namibia | 0 1000 t | 2023 | — | flat |
| 79 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 79 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 79 | New Zealand | 0 1000 t | 2023 | — | flat |
| 79 | Oman | 0 1000 t | 2023 | — | volatile |
| 79 | Pakistan | 0 1000 t | 2023 | — | volatile |
| 79 | Panama | 0 1000 t | 2020 | — | volatile |
| 79 | Philippines | 0 1000 t | 2023 | — | flat |
| 79 | Papua New Guinea | 0 1000 t | 2022 | — | flat |
| 79 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 79 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 79 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 79 | Senegal | 0 1000 t | 2023 | — | flat |
| 79 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 79 | El Salvador | 0 1000 t | 2023 | — | flat |
| 79 | Serbia | 0 1000 t | 2023 | — | flat |
| 79 | Suriname | 0 1000 t | 2017 | — | flat |
| 79 | Eswatini | 0 1000 t | 2022 | — | flat |
| 79 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 79 | Turkmenistan | 0 1000 t | 2023 | — | volatile |
| 79 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 79 | Tunisia | 0 1000 t | 2023 | down 100.0% | volatile |
| 79 | Uruguay | 0 1000 t | 2022 | — | volatile |
| 79 | Saint Vincent and the Grenadines | 0 1000 t | 2017 | — | flat |
| 79 | Samoa | 0 1000 t | 2021 | — | flat |
| 79 | Yemen | 0 1000 t | 2023 | — | volatile |
| 79 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 79 | Timor-Leste | 0 1000 t | 2017 | — | flat |
| 79 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 79 | Melanesia | 0 1000 t | 2023 | — | flat |
| 79 | Polynesia | 0 1000 t | 2023 | — | flat |
| 79 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 79 | Caribbean | 0 1000 t | 2023 | — | volatile |
| 79 | China, Hong Kong SAR | 0 1000 t | 2023 | — | volatile |
| 79 | Republic of Moldova | 0 1000 t | 2023 | — | volatile |
| 79 | Côte d'Ivoire | 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 12,559 1000 t
- Oceania 3,238 1000 t
- Asia 3,064 1000 t
- Americas 3,044 1000 t
- Northern America 2,822 1000 t
- Europe 2,005 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,637 1000 t
- Western Asia 1,460 1000 t
- Least Developed Countries (LDCs) 1,400 1000 t
- Africa 1,209 1000 t
- Low Income Food Deficit Countries (LIFDCs) 1,043 1000 t
- European Union (27) 987 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.