Pulses, Other and products — Residuals 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 — Residuals is currently reported for 164 countries. The highest value is 26 1000 t in Djibouti; the lowest is -291 1000 t in Canada.
The median across all reporting countries is 0 1000 t, and the mean is -8.6 1000 t.
Over the past decade 7 countries rose and 7 fell. The largest increase was in France (up 100.0%), and the largest decrease in Canada (down 9,600.0%).
Pulses, Other and products — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Djibouti | 26 1000 t | 2023 | — | volatile |
| 2 | Kenya | 24 1000 t | 2023 | — | volatile |
| 3 | Angola | 0 1000 t | 2023 | — | flat |
| 3 | Albania | 0 1000 t | 2023 | — | flat |
| 3 | Armenia | 0 1000 t | 2023 | — | flat |
| 3 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 3 | Austria | 0 1000 t | 2023 | — | volatile |
| 3 | Azerbaijan | 0 1000 t | 2023 | — | volatile |
| 3 | Burkina Faso | 0 1000 t | 2023 | down 100.0% | volatile |
| 3 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 3 | Bahrain | 0 1000 t | 2023 | — | flat |
| 3 | Bahamas | 0 1000 t | 2023 | — | flat |
| 3 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 3 | Belarus, Republic of | 0 1000 t | 2023 | — | volatile |
| 3 | Belize | 0 1000 t | 2023 | — | flat |
| 3 | Barbados | 0 1000 t | 2023 | — | flat |
| 3 | Bhutan | 0 1000 t | 2023 | — | flat |
| 3 | Botswana | 0 1000 t | 2023 | — | volatile |
| 3 | Switzerland | 0 1000 t | 2023 | — | flat |
| 3 | Cameroon | 0 1000 t | 2023 | — | flat |
| 3 | Congo | 0 1000 t | 2023 | — | flat |
| 3 | Colombia | 0 1000 t | 2023 | — | flat |
| 3 | Comoros, Union of the | 0 1000 t | 2023 | — | flat |
| 3 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 3 | Cuba | 0 1000 t | 2019 | — | flat |
| 3 | Cyprus | 0 1000 t | 2023 | — | flat |
| 3 | Czechia | 0 1000 t | 2023 | — | flat |
| 3 | Germany | 0 1000 t | 2023 | — | volatile |
| 3 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 3 | Algeria | 0 1000 t | 2023 | — | flat |
| 3 | Egypt | 0 1000 t | 2023 | — | volatile |
| 3 | Spain | 0 1000 t | 2023 | — | volatile |
| 3 | Estonia | 0 1000 t | 2023 | — | volatile |
| 3 | Ethiopia, The Federal Democratic Republic of | 0 1000 t | 2023 | — | volatile |
| 3 | Finland | 0 1000 t | 2023 | — | flat |
| 3 | Fiji | 0 1000 t | 2023 | — | flat |
| 3 | France | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Gabon | 0 1000 t | 2023 | — | flat |
| 3 | Georgia | 0 1000 t | 2023 | — | flat |
| 3 | Ghana | 0 1000 t | 2023 | — | flat |
| 3 | Guinea | 0 1000 t | 2023 | — | flat |
| 3 | Gambia, The | 0 1000 t | 2023 | — | flat |
| 3 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 3 | Greece | 0 1000 t | 2023 | — | volatile |
| 3 | Grenada | 0 1000 t | 2023 | — | flat |
| 3 | Guatemala | 0 1000 t | 2023 | — | flat |
| 3 | Guyana | 0 1000 t | 2023 | — | flat |
| 3 | Honduras | 0 1000 t | 2023 | — | flat |
| 3 | Croatia | 0 1000 t | 2023 | — | volatile |
| 3 | Haiti | 0 1000 t | 2023 | — | volatile |
| 3 | Hungary | 0 1000 t | 2023 | — | flat |
| 3 | Indonesia | 0 1000 t | 2023 | — | flat |
| 3 | Ireland | 0 1000 t | 2023 | — | volatile |
| 3 | Iraq | 0 1000 t | 2023 | — | volatile |
| 3 | Iceland | 0 1000 t | 2023 | — | flat |
| 3 | Israel | 0 1000 t | 2023 | — | flat |
| 3 | Italy | 0 1000 t | 2023 | — | flat |
| 3 | Jamaica | 0 1000 t | 2023 | — | flat |
| 3 | Jordan | 0 1000 t | 2023 | — | flat |
| 3 | Kazakhstan | 0 1000 t | 2023 | — | volatile |
| 3 | Kyrgyz Republic | 0 1000 t | 2023 | — | volatile |
| 3 | Cambodia | 0 1000 t | 2023 | — | flat |
| 3 | Kiribati | 0 1000 t | 2023 | — | flat |
| 3 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 3 | Kuwait | 0 1000 t | 2023 | — | flat |
| 3 | Lebanon | 0 1000 t | 2023 | — | flat |
| 3 | Liberia | 0 1000 t | 2023 | — | flat |
| 3 | Libya | 0 1000 t | 2023 | — | flat |
| 3 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 3 | Sri Lanka | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Lesotho, Kingdom of | 0 1000 t | 2023 | — | flat |
| 3 | Lithuania | 0 1000 t | 2023 | — | volatile |
| 3 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 3 | Latvia | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Morocco | 0 1000 t | 2023 | down 100.0% | volatile |
| 3 | Madagascar, Republic of | 0 1000 t | 2023 | — | flat |
| 3 | Maldives | 0 1000 t | 2023 | — | flat |
| 3 | Mexico | 0 1000 t | 2023 | — | volatile |
| 3 | Marshall Islands, Republic of the | 0 1000 t | 2023 | — | flat |
| 3 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 3 | Malta | 0 1000 t | 2023 | — | flat |
| 3 | Montenegro | 0 1000 t | 2023 | — | flat |
| 3 | Mongolia | 0 1000 t | 2023 | — | flat |
| 3 | Mauritania | 0 1000 t | 2023 | — | flat |
| 3 | Mauritius | 0 1000 t | 2023 | — | flat |
| 3 | Malaysia | 0 1000 t | 2023 | — | flat |
| 3 | Namibia | 0 1000 t | 2023 | — | flat |
| 3 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 3 | Niger | 0 1000 t | 2023 | — | flat |
| 3 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 3 | Norway | 0 1000 t | 2023 | — | flat |
| 3 | Nepal | 0 1000 t | 2023 | — | flat |
| 3 | Naoero, Republic of | 0 1000 t | 2023 | — | flat |
| 3 | New Zealand | 0 1000 t | 2023 | — | flat |
| 3 | Oman | 0 1000 t | 2023 | — | flat |
| 3 | Panama | 0 1000 t | 2023 | — | flat |
| 3 | Philippines | 0 1000 t | 2023 | — | flat |
| 3 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 3 | Poland | 0 1000 t | 2023 | down 100.0% | volatile |
| 3 | Portugal | 0 1000 t | 2023 | — | volatile |
| 3 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 3 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 3 | Qatar | 0 1000 t | 2023 | — | flat |
| 3 | Romania | 0 1000 t | 2023 | — | volatile |
| 3 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 3 | Saudi Arabia | 0 1000 t | 2023 | — | flat |
| 3 | Senegal | 0 1000 t | 2023 | — | flat |
| 3 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 3 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 3 | El Salvador | 0 1000 t | 2023 | — | flat |
| 3 | Serbia | 0 1000 t | 2023 | — | flat |
| 3 | São Tomé and Príncipe, Democratic Republic of | 0 1000 t | 2023 | — | flat |
| 3 | Suriname | 0 1000 t | 2023 | — | flat |
| 3 | Slovak Republic | 0 1000 t | 2023 | — | flat |
| 3 | Slovenia | 0 1000 t | 2023 | — | flat |
| 3 | Sweden | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Eswatini | 0 1000 t | 2023 | — | flat |
| 3 | Seychelles | 0 1000 t | 2023 | — | flat |
| 3 | Thailand | 0 1000 t | 2023 | — | volatile |
| 3 | Tajikistan, Republic of | 0 1000 t | 2023 | — | flat |
| 3 | Turkmenistan | 0 1000 t | 2023 | — | volatile |
| 3 | Tonga | 0 1000 t | 2023 | — | flat |
| 3 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 3 | Tunisia | 0 1000 t | 2023 | — | flat |
| 3 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 3 | Uruguay | 0 1000 t | 2023 | — | flat |
| 3 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 3 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 3 | Samoa | 0 1000 t | 2023 | — | flat |
| 3 | Yemen, Republic of | 0 1000 t | 2023 | — | flat |
| 3 | South Africa | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 3 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 3 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 3 | Russian Federation | 0 1000 t | 2023 | — | volatile |
| 3 | China, mainland | 0 1000 t | 2023 | — | volatile |
| 3 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
| 139 | Chile | -1 1000 t | 2023 | — | volatile |
| 139 | Ecuador | -1 1000 t | 2023 | up 50.0% | volatile |
| 139 | Malawi | -1 1000 t | 2023 | — | volatile |
| 139 | Peru | -1 1000 t | 2023 | — | volatile |
| 139 | Uzbekistan | -1 1000 t | 2023 | — | volatile |
| 139 | Zambia | -1 1000 t | 2023 | — | volatile |
| 145 | Argentina | -2 1000 t | 2023 | — | volatile |
| 145 | Uganda | -2 1000 t | 2023 | down 100.0% | volatile |
| 147 | Bulgaria | -4 1000 t | 2023 | — | volatile |
| 147 | Pakistan | -4 1000 t | 2023 | — | volatile |
| 149 | Nigeria | -6 1000 t | 2023 | — | volatile |
| 150 | Ukraine | -9 1000 t | 2023 | down 80.0% | volatile |
| 151 | Mozambique, Republic of | -10 1000 t | 2023 | — | volatile |
| 152 | Afghanistan, Islamic Republic of | -14 1000 t | 2023 | — | volatile |
| 152 | Belgium | -14 1000 t | 2023 | — | volatile |
| 154 | Brazil | -54 1000 t | 2023 | down 2,600.0% | volatile |
| 155 | China (People’s Republic of) | -62 1000 t | 2023 | — | volatile |
| 155 | China, Taiwan Province of | -62 1000 t | 2023 | — | volatile |
| 157 | Myanmar | -66 1000 t | 2023 | — | volatile |
| 158 | Denmark | -84 1000 t | 2023 | — | volatile |
| 159 | United Arab Emirates | -109 1000 t | 2023 | — | volatile |
| 160 | India | -146 1000 t | 2023 | — | volatile |
| 161 | Australia | -155 1000 t | 2023 | — | volatile |
| 161 | Australia and New Zealand | -155 1000 t | 2023 | — | volatile |
| 163 | United Kingdom of Great Britain and Northern Ireland | -206 1000 t | 2023 | — | volatile |
| 164 | Canada | -291 1000 t | 2023 | down 9,600.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Côte d'Ivoire 0 1000 t
- United States of America 0 1000 t
- Western Europe -15 1000 t
- Land Locked Developing Countries (LLDCs) -19 1000 t
- European Union (27) -104 1000 t
- Low Income Food Deficit Countries (LIFDCs) -193 1000 t
- Net Food Importing Developing Countries (NFIDCs) -243 1000 t
- Northern Europe -290 1000 t
- Northern America -291 1000 t
- Americas -355 1000 t
- World -1,427 1000 t
- South America -64 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.