Pulses, Other and products — Import 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 — Import quantity is currently reported for 157 countries. The highest value is 2,852 1000 t in India; the lowest is 0 1000 t in Democratic Republic of the Congo.
The median across all reporting countries is 10 1000 t, and the mean is 89.7 1000 t.
Over the past decade 79 countries rose and 26 fell. The largest increase was in Cambodia (up 3,425.0%), and the largest decrease in Burkina Faso (down 100.0%).
Pulses, Other and products — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 2,852 1000 t | 2023 | up 68.6% | rising |
| 2 | Turkey | 1,210 1000 t | 2023 | up 263.4% | rising |
| 2 | Türkiye | 1,210 1000 t | 2023 | up 263.4% | rising |
| 4 | Pakistan | 959 1000 t | 2023 | up 444.9% | rising |
| 5 | Bangladesh | 844 1000 t | 2023 | up 104.4% | rising |
| 6 | United Arab Emirates | 547 1000 t | 2023 | up 54.5% | rising |
| 7 | Uruguay | 448 1000 t | 2023 | up 31.8% | flat |
| 8 | Norway | 370 1000 t | 2023 | up 1,380.0% | volatile |
| 9 | United States | 328 1000 t | 2023 | up 126.2% | rising |
| 10 | Egypt | 316 1000 t | 2023 | down 17.1% | falling |
| 11 | Iraq | 283 1000 t | 2023 | up 396.5% | volatile |
| 12 | Algeria | 251 1000 t | 2023 | up 30.1% | rising |
| 13 | Sri Lanka | 222 1000 t | 2023 | up 24.0% | rising |
| 14 | China | 199 1000 t | 2023 | up 226.2% | volatile |
| 15 | Canada | 186 1000 t | 2023 | up 272.0% | rising |
| 16 | Saudi Arabia | 183 1000 t | 2023 | up 18.8% | volatile |
| 17 | Italy | 177 1000 t | 2023 | up 94.5% | rising |
| 18 | China, mainland | 175 1000 t | 2023 | up 250.0% | volatile |
| 19 | Spain | 162 1000 t | 2023 | up 5.2% | flat |
| 20 | Netherlands (Kingdom of the) | 160 1000 t | 2023 | up 540.0% | volatile |
| 21 | Nepal | 152 1000 t | 2023 | up 176.4% | volatile |
| 22 | United Kingdom | 147 1000 t | 2023 | up 98.6% | rising |
| 22 | United Kingdom of Great Britain and Northern Ireland | 147 1000 t | 2023 | up 98.6% | rising |
| 24 | Cambodia | 141 1000 t | 2023 | up 3,425.0% | volatile |
| 25 | Morocco | 133 1000 t | 2023 | up 1,230.0% | volatile |
| 26 | Djibouti | 122 1000 t | 2023 | up 1,425.0% | volatile |
| 27 | France | 113 1000 t | 2023 | up 73.8% | rising |
| 28 | Oman | 108 1000 t | 2023 | up 575.0% | volatile |
| 29 | Colombia | 97 1000 t | 2023 | up 44.8% | rising |
| 30 | Germany | 88 1000 t | 2023 | up 175.0% | rising |
| 31 | Cuba | 80 1000 t | 2019 | up 17.6% | rising |
| 32 | Venezuela (Bolivarian Republic of) | 75 1000 t | 2023 | up 108.3% | volatile |
| 33 | Jordan | 69 1000 t | 2023 | up 16.9% | rising |
| 34 | Iran (Islamic Republic of) | 68 1000 t | 2023 | up 100.0% | volatile |
| 35 | Ethiopia | 66 1000 t | 2023 | up 1,550.0% | volatile |
| 36 | Peru | 65 1000 t | 2023 | up 44.4% | rising |
| 36 | Caribbean | 65 1000 t | 2023 | down 27.8% | flat |
| 38 | Denmark | 64 1000 t | 2023 | up 966.7% | volatile |
| 39 | Belgium | 60 1000 t | 2023 | up 275.0% | volatile |
| 40 | Republic of Korea | 52 1000 t | 2023 | up 100.0% | volatile |
| 41 | Syria | 45 1000 t | 2023 | up 104.5% | volatile |
| 41 | Syrian Arab Republic | 45 1000 t | 2023 | up 104.5% | volatile |
| 43 | Israel | 43 1000 t | 2023 | up 87.0% | volatile |
| 44 | Libya | 38 1000 t | 2023 | up 192.3% | volatile |
| 44 | Mexico | 38 1000 t | 2023 | down 37.7% | volatile |
| 46 | Greece | 36 1000 t | 2023 | up 125.0% | rising |
| 47 | Australia and New Zealand | 35 1000 t | 2023 | up 250.0% | volatile |
| 48 | Latvia | 32 1000 t | 2023 | up 700.0% | volatile |
| 49 | Vietnam | 31 1000 t | 2023 | — | volatile |
| 49 | Viet Nam | 31 1000 t | 2023 | — | volatile |
| 51 | Brazil | 27 1000 t | 2023 | up 3.8% | rising |
| 51 | Chile | 27 1000 t | 2023 | up 8.0% | rising |
| 53 | Lebanon | 26 1000 t | 2023 | down 27.8% | flat |
| 53 | Malaysia | 26 1000 t | 2023 | down 38.1% | falling |
| 55 | Kuwait | 25 1000 t | 2023 | down 7.4% | rising |
| 56 | Poland | 24 1000 t | 2023 | down 57.1% | volatile |
| 57 | Czechia | 23 1000 t | 2023 | up 130.0% | rising |
| 58 | Indonesia | 22 1000 t | 2023 | down 31.2% | falling |
| 58 | New Zealand | 22 1000 t | 2023 | up 633.3% | volatile |
| 58 | Qatar | 22 1000 t | 2023 | — | flat |
| 58 | Yemen | 22 1000 t | 2023 | up 22.2% | volatile |
| 62 | Ecuador | 21 1000 t | 2023 | down 4.5% | rising |
| 63 | Kazakhstan | 20 1000 t | 2023 | up 900.0% | volatile |
| 64 | Thailand | 19 1000 t | 2023 | down 44.1% | volatile |
| 64 | Tunisia | 19 1000 t | 2023 | up 111.1% | rising |
| 66 | Portugal | 16 1000 t | 2023 | down 33.3% | volatile |
| 67 | Austria | 15 1000 t | 2023 | up 200.0% | volatile |
| 67 | Bahrain | 15 1000 t | 2023 | — | rising |
| 67 | Kenya | 15 1000 t | 2023 | up 275.0% | volatile |
| 67 | Kyrgyzstan | 15 1000 t | 2023 | — | volatile |
| 67 | Uzbekistan | 15 1000 t | 2023 | up 1,400.0% | volatile |
| 72 | Senegal | 14 1000 t | 2023 | up 1,300.0% | volatile |
| 72 | South Africa | 14 1000 t | 2023 | up 55.6% | rising |
| 74 | Australia | 13 1000 t | 2023 | up 116.7% | rising |
| 74 | China, Taiwan Province of | 13 1000 t | 2023 | up 62.5% | rising |
| 76 | Guatemala | 12 1000 t | 2023 | up 300.0% | volatile |
| 77 | Bulgaria | 11 1000 t | 2023 | up 57.1% | rising |
| 77 | China, Hong Kong SAR | 11 1000 t | 2023 | up 450.0% | volatile |
| 79 | Sweden | 10 1000 t | 2023 | up 66.7% | rising |
| 80 | Panama | 9 1000 t | 2023 | up 28.6% | rising |
| 81 | Afghanistan | 8 1000 t | 2023 | down 69.2% | volatile |
| 81 | Argentina | 8 1000 t | 2023 | up 300.0% | volatile |
| 81 | Azerbaijan | 8 1000 t | 2023 | up 100.0% | rising |
| 81 | Hungary | 8 1000 t | 2023 | up 166.7% | volatile |
| 81 | Ireland | 8 1000 t | 2023 | up 300.0% | volatile |
| 81 | Lithuania | 8 1000 t | 2023 | up 700.0% | volatile |
| 81 | Mauritius | 8 1000 t | 2023 | down 11.1% | falling |
| 88 | Switzerland | 7 1000 t | 2023 | up 133.3% | rising |
| 88 | Liberia | 7 1000 t | 2023 | — | volatile |
| 90 | Slovakia | 6 1000 t | 2023 | down 25.0% | falling |
| 90 | Tajikistan | 6 1000 t | 2023 | up 500.0% | volatile |
| 90 | Trinidad and Tobago | 6 1000 t | 2023 | up 20.0% | rising |
| 93 | Costa Rica | 5 1000 t | 2023 | up 150.0% | rising |
| 93 | Dominican Republic | 5 1000 t | 2023 | — | volatile |
| 95 | Romania | 4 1000 t | 2023 | up 300.0% | volatile |
| 96 | Armenia | 3 1000 t | 2023 | unchanged | rising |
| 96 | Bhutan | 3 1000 t | 2023 | — | rising |
| 96 | Croatia | 3 1000 t | 2023 | up 200.0% | rising |
| 96 | Laos | 3 1000 t | 2023 | — | volatile |
| 96 | Maldives | 3 1000 t | 2023 | up 200.0% | rising |
| 96 | Philippines | 3 1000 t | 2023 | unchanged | falling |
| 96 | Lao People's Democratic Republic | 3 1000 t | 2023 | — | volatile |
| 96 | United Republic of Tanzania | 3 1000 t | 2023 | — | volatile |
| 104 | Cyprus | 2 1000 t | 2023 | unchanged | rising |
| 104 | Georgia | 2 1000 t | 2023 | — | volatile |
| 104 | Ghana | 2 1000 t | 2023 | up 100.0% | volatile |
| 104 | Guyana | 2 1000 t | 2023 | up 100.0% | falling |
| 104 | Russia | 2 1000 t | 2023 | down 66.7% | volatile |
| 104 | Serbia | 2 1000 t | 2023 | up 100.0% | rising |
| 104 | Slovenia | 2 1000 t | 2023 | — | volatile |
| 104 | Zimbabwe | 2 1000 t | 2023 | unchanged | volatile |
| 104 | Bolivia (Plurinational State of) | 2 1000 t | 2023 | unchanged | rising |
| 104 | Russian Federation | 2 1000 t | 2023 | down 66.7% | volatile |
| 114 | Angola | 1 1000 t | 2023 | — | volatile |
| 114 | Albania | 1 1000 t | 2023 | — | volatile |
| 114 | Comoros | 1 1000 t | 2023 | unchanged | volatile |
| 114 | Estonia | 1 1000 t | 2023 | — | volatile |
| 114 | Finland | 1 1000 t | 2023 | — | volatile |
| 114 | Fiji | 1 1000 t | 2023 | unchanged | volatile |
| 114 | Gambia | 1 1000 t | 2023 | — | volatile |
| 114 | Haiti | 1 1000 t | 2023 | down 80.0% | volatile |
| 114 | Saint Lucia | 1 1000 t | 2023 | unchanged | falling |
| 114 | Lesotho | 1 1000 t | 2023 | — | volatile |
| 114 | Moldova | 1 1000 t | 2023 | — | volatile |
| 114 | Madagascar | 1 1000 t | 2023 | unchanged | volatile |
| 114 | North Macedonia | 1 1000 t | 2023 | unchanged | flat |
| 114 | Mozambique | 1 1000 t | 2023 | — | volatile |
| 114 | Mauritania | 1 1000 t | 2023 | down 83.3% | volatile |
| 114 | Namibia | 1 1000 t | 2023 | down 50.0% | volatile |
| 114 | Niger | 1 1000 t | 2023 | down 66.7% | volatile |
| 114 | Nigeria | 1 1000 t | 2023 | unchanged | volatile |
| 114 | French Polynesia | 1 1000 t | 2023 | unchanged | volatile |
| 114 | Seychelles | 1 1000 t | 2023 | down 50.0% | rising |
| 114 | Turkmenistan | 1 1000 t | 2023 | unchanged | flat |
| 114 | Ukraine | 1 1000 t | 2023 | unchanged | volatile |
| 114 | Cabo Verde | 1 1000 t | 2023 | unchanged | volatile |
| 114 | Melanesia | 1 1000 t | 2023 | unchanged | rising |
| 114 | Polynesia | 1 1000 t | 2023 | unchanged | volatile |
| 114 | Republic of Moldova | 1 1000 t | 2023 | — | volatile |
| 140 | Burkina Faso | 0 1000 t | 2023 | down 100.0% | volatile |
| 140 | Belarus | 0 1000 t | 2023 | — | volatile |
| 140 | Botswana | 0 1000 t | 2023 | down 100.0% | volatile |
| 140 | Cameroon | 0 1000 t | 2023 | down 100.0% | volatile |
| 140 | Congo | 0 1000 t | 2023 | — | volatile |
| 140 | Guinea | 0 1000 t | 2023 | — | volatile |
| 140 | Jamaica | 0 1000 t | 2023 | down 100.0% | volatile |
| 140 | Luxembourg | 0 1000 t | 2023 | — | volatile |
| 140 | Myanmar | 0 1000 t | 2023 | — | volatile |
| 140 | Malawi | 0 1000 t | 2023 | — | volatile |
| 140 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 140 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 140 | Sierra Leone | 0 1000 t | 2023 | — | volatile |
| 140 | Sao Tome and Principe | 0 1000 t | 2023 | — | volatile |
| 140 | Eswatini | 0 1000 t | 2023 | — | volatile |
| 140 | Uganda | 0 1000 t | 2023 | — | volatile |
| 140 | Zambia | 0 1000 t | 2023 | — | volatile |
| 140 | Democratic Republic of the Congo | 0 1000 t | 2023 | down 100.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 12,541 1000 t
- Asia 8,352 1000 t
- Southern Asia 5,111 1000 t
- Net Food Importing Developing Countries (NFIDCs) 3,496 1000 t
- Western Asia 2,633 1000 t
- Europe 1,564 1000 t
- Least Developed Countries (LDCs) 1,544 1000 t
- Americas 1,413 1000 t
- Africa 1,175 1000 t
- European Union (27) 1,035 1000 t
- Northern Africa 877 1000 t
- South America 770 1000 t
- Northern Europe 642 1000 t
- Low Income Food Deficit Countries (LIFDCs) 530 1000 t
- Northern America 514 1000 t
- Western Europe 443 1000 t
- Southern Europe 400 1000 t
- United States of America 328 1000 t
- Land Locked Developing Countries (LLDCs) 316 1000 t
- Eastern Asia 305 1000 t
- Eastern Africa 250 1000 t
- South-Eastern Asia 246 1000 t
- Small island developing States (SIDS) 81 1000 t
- Eastern Europe 80 1000 t
- Central America 65 1000 t
- Central Asia 58 1000 t
- Oceania 37 1000 t
- Western Africa 29 1000 t
- Southern Africa 16 1000 t
- Middle Africa 3 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.