Pulses, Other and products — Losses 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 — Losses is currently reported for 150 countries. The highest value is 693 1000 t in Niger; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 1 1000 t, and the mean is 20.89 1000 t.
Over the past decade 32 countries rose and 27 fell. The largest increase was in Germany (up 450.0%), and the largest decrease in Indonesia (down 100.0%).
Pulses, Other and products — Losses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Niger | 693 1000 t | 2023 | up 50.0% | rising |
| 2 | India | 613 1000 t | 2023 | down 7.7% | flat |
| 3 | Nigeria | 451 1000 t | 2023 | down 7.0% | rising |
| 4 | Australia and New Zealand | 131 1000 t | 2023 | up 47.2% | flat |
| 5 | Australia | 130 1000 t | 2023 | up 47.7% | flat |
| 6 | China | 109 1000 t | 2023 | up 25.3% | rising |
| 6 | China, mainland | 109 1000 t | 2023 | up 25.3% | rising |
| 8 | Ethiopia | 104 1000 t | 2023 | up 14.3% | rising |
| 9 | Malawi | 52 1000 t | 2023 | up 4.0% | rising |
| 10 | Myanmar | 51 1000 t | 2023 | down 41.4% | falling |
| 11 | Türkiye | 47 1000 t | 2023 | up 42.4% | rising |
| 12 | Russian Federation | 46 1000 t | 2023 | up 9.5% | rising |
| 13 | Canada | 45 1000 t | 2023 | down 23.7% | rising |
| 13 | United Kingdom of Great Britain and Northern Ireland | 45 1000 t | 2023 | — | volatile |
| 15 | Burkina Faso | 42 1000 t | 2023 | down 36.4% | falling |
| 16 | Bangladesh | 32 1000 t | 2023 | up 220.0% | rising |
| 16 | Pakistan | 32 1000 t | 2023 | up 3.2% | falling |
| 18 | Egypt | 27 1000 t | 2023 | down 25.0% | falling |
| 19 | France | 25 1000 t | 2023 | up 66.7% | rising |
| 20 | United Republic of Tanzania | 22 1000 t | 2023 | down 31.2% | falling |
| 21 | Nepal | 18 1000 t | 2023 | up 28.6% | rising |
| 21 | Peru | 18 1000 t | 2023 | up 38.5% | rising |
| 23 | Democratic Republic of the Congo | 16 1000 t | 2023 | up 166.7% | rising |
| 24 | Mozambique | 15 1000 t | 2023 | unchanged | rising |
| 24 | Poland | 15 1000 t | 2023 | up 150.0% | rising |
| 26 | Cameroon | 13 1000 t | 2023 | up 18.2% | rising |
| 27 | Spain | 12 1000 t | 2023 | down 25.0% | flat |
| 27 | Kenya | 12 1000 t | 2023 | down 45.5% | rising |
| 27 | Morocco | 12 1000 t | 2023 | down 20.0% | falling |
| 27 | Mexico | 12 1000 t | 2023 | down 29.4% | flat |
| 27 | Iran (Islamic Republic of) | 12 1000 t | 2023 | down 20.0% | flat |
| 32 | Germany | 11 1000 t | 2023 | up 450.0% | volatile |
| 33 | Sierra Leone | 8 1000 t | 2023 | unchanged | rising |
| 34 | Sri Lanka | 7 1000 t | 2023 | up 16.7% | rising |
| 34 | Senegal | 7 1000 t | 2023 | up 250.0% | volatile |
| 34 | Syrian Arab Republic | 7 1000 t | 2023 | down 36.4% | flat |
| 34 | Viet Nam | 7 1000 t | 2023 | up 16.7% | rising |
| 38 | Algeria | 6 1000 t | 2023 | up 50.0% | rising |
| 38 | Italy | 6 1000 t | 2023 | up 50.0% | rising |
| 38 | Lithuania | 6 1000 t | 2023 | down 14.3% | volatile |
| 38 | Saudi Arabia | 6 1000 t | 2023 | up 50.0% | rising |
| 38 | Thailand | 6 1000 t | 2023 | up 20.0% | rising |
| 43 | Guatemala | 5 1000 t | 2023 | unchanged | rising |
| 43 | Tunisia | 5 1000 t | 2023 | unchanged | rising |
| 43 | Yemen | 5 1000 t | 2023 | up 25.0% | rising |
| 43 | Zimbabwe | 5 1000 t | 2023 | up 150.0% | volatile |
| 47 | United Arab Emirates | 4 1000 t | 2023 | down 20.0% | rising |
| 47 | Greece | 4 1000 t | 2023 | up 100.0% | rising |
| 47 | Norway | 4 1000 t | 2023 | up 300.0% | volatile |
| 47 | Uzbekistan | 4 1000 t | 2023 | up 33.3% | rising |
| 52 | Guinea | 3 1000 t | 2023 | unchanged | flat |
| 52 | Kyrgyzstan | 3 1000 t | 2023 | — | volatile |
| 52 | Mauritania | 3 1000 t | 2023 | unchanged | flat |
| 55 | Argentina | 2 1000 t | 2023 | down 33.3% | rising |
| 55 | Belarus | 2 1000 t | 2023 | down 50.0% | falling |
| 55 | Chile | 2 1000 t | 2023 | unchanged | falling |
| 55 | Dominican Republic | 2 1000 t | 2023 | unchanged | flat |
| 55 | Haiti | 2 1000 t | 2023 | down 66.7% | falling |
| 55 | Ireland | 2 1000 t | 2023 | up 100.0% | rising |
| 55 | Latvia | 2 1000 t | 2023 | — | volatile |
| 55 | Madagascar | 2 1000 t | 2023 | up 100.0% | rising |
| 55 | Philippines | 2 1000 t | 2023 | unchanged | falling |
| 55 | Serbia | 2 1000 t | 2023 | unchanged | falling |
| 55 | Sweden | 2 1000 t | 2023 | down 33.3% | falling |
| 55 | Venezuela (Bolivarian Republic of) | 2 1000 t | 2023 | down 81.8% | volatile |
| 67 | Afghanistan | 1 1000 t | 2023 | down 66.7% | falling |
| 67 | Austria | 1 1000 t | 2023 | unchanged | flat |
| 67 | Bulgaria | 1 1000 t | 2023 | — | volatile |
| 67 | Bosnia and Herzegovina | 1 1000 t | 2023 | — | volatile |
| 67 | Comoros | 1 1000 t | 2023 | unchanged | flat |
| 67 | Cuba | 1 1000 t | 2019 | unchanged | rising |
| 67 | Czechia | 1 1000 t | 2023 | — | volatile |
| 67 | Denmark | 1 1000 t | 2023 | — | volatile |
| 67 | Ghana | 1 1000 t | 2023 | unchanged | flat |
| 67 | Iraq | 1 1000 t | 2023 | — | volatile |
| 67 | Jordan | 1 1000 t | 2023 | unchanged | flat |
| 67 | Kazakhstan | 1 1000 t | 2023 | unchanged | volatile |
| 67 | Libya | 1 1000 t | 2023 | — | volatile |
| 67 | North Macedonia | 1 1000 t | 2023 | unchanged | rising |
| 67 | Namibia | 1 1000 t | 2023 | unchanged | flat |
| 67 | Portugal | 1 1000 t | 2023 | — | volatile |
| 67 | Paraguay | 1 1000 t | 2023 | unchanged | flat |
| 67 | Qatar | 1 1000 t | 2023 | — | flat |
| 67 | Tajikistan | 1 1000 t | 2023 | down 50.0% | volatile |
| 67 | Uganda | 1 1000 t | 2023 | down 50.0% | rising |
| 67 | Ukraine | 1 1000 t | 2023 | down 66.7% | volatile |
| 67 | Zambia | 1 1000 t | 2023 | down 50.0% | flat |
| 67 | Melanesia | 1 1000 t | 2023 | unchanged | rising |
| 67 | Bolivia (Plurinational State of) | 1 1000 t | 2023 | unchanged | flat |
| 67 | Côte d'Ivoire | 1 1000 t | 2023 | unchanged | flat |
| 67 | Netherlands (Kingdom of the) | 1 1000 t | 2023 | — | volatile |
| 93 | Albania | 0 1000 t | 2023 | — | flat |
| 93 | Armenia | 0 1000 t | 2023 | — | flat |
| 93 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 93 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 93 | Belgium | 0 1000 t | 2023 | — | volatile |
| 93 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 93 | Bahamas | 0 1000 t | 2023 | — | flat |
| 93 | Brazil | 0 1000 t | 2023 | — | volatile |
| 93 | Barbados | 0 1000 t | 2023 | — | flat |
| 93 | Bhutan | 0 1000 t | 2023 | — | flat |
| 93 | Botswana | 0 1000 t | 2023 | — | volatile |
| 93 | Switzerland | 0 1000 t | 2023 | — | flat |
| 93 | Colombia | 0 1000 t | 2023 | — | volatile |
| 93 | Cyprus | 0 1000 t | 2023 | — | flat |
| 93 | Ecuador | 0 1000 t | 2023 | — | flat |
| 93 | Estonia | 0 1000 t | 2023 | — | flat |
| 93 | Fiji | 0 1000 t | 2023 | — | flat |
| 93 | Gabon | 0 1000 t | 2023 | — | flat |
| 93 | Gambia | 0 1000 t | 2023 | — | flat |
| 93 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 93 | Grenada | 0 1000 t | 2023 | — | flat |
| 93 | Guyana | 0 1000 t | 2023 | — | flat |
| 93 | Croatia | 0 1000 t | 2023 | — | flat |
| 93 | Hungary | 0 1000 t | 2023 | — | flat |
| 93 | Indonesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 93 | Israel | 0 1000 t | 2023 | down 100.0% | volatile |
| 93 | Jamaica | 0 1000 t | 2023 | — | flat |
| 93 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 93 | Lebanon | 0 1000 t | 2023 | — | flat |
| 93 | Liberia | 0 1000 t | 2023 | — | flat |
| 93 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 93 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 93 | Maldives | 0 1000 t | 2023 | — | flat |
| 93 | Malta | 0 1000 t | 2023 | — | flat |
| 93 | Mongolia | 0 1000 t | 2023 | — | flat |
| 93 | Mauritius | 0 1000 t | 2019 | — | flat |
| 93 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 93 | New Zealand | 0 1000 t | 2023 | — | flat |
| 93 | Panama | 0 1000 t | 2023 | — | volatile |
| 93 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 93 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 93 | Romania | 0 1000 t | 2023 | — | flat |
| 93 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 93 | Suriname | 0 1000 t | 2023 | — | flat |
| 93 | Slovakia | 0 1000 t | 2023 | — | flat |
| 93 | Slovenia | 0 1000 t | 2023 | — | flat |
| 93 | Eswatini | 0 1000 t | 2023 | — | flat |
| 93 | Seychelles | 0 1000 t | 2023 | — | flat |
| 93 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 93 | Uruguay | 0 1000 t | 2023 | — | flat |
| 93 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 93 | Timor-Leste | 0 1000 t | 2018 | — | flat |
| 93 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 93 | Polynesia | 0 1000 t | 2023 | — | flat |
| 93 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 93 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 93 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 93 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | flat |
| 93 | China, Macao SAR | 0 1000 t | 2019 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 2,971 1000 t
- Africa 1,554 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,248 1000 t
- Western Africa 1,227 1000 t
- Least Developed Countries (LDCs) 1,128 1000 t
- Low Income Food Deficit Countries (LIFDCs) 1,089 1000 t
- Asia 973 1000 t
- Land Locked Developing Countries (LLDCs) 948 1000 t
- Southern Asia 716 1000 t
- Eastern Africa 217 1000 t
- Europe 193 1000 t
- Oceania 131 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.