Pulses, Other and products — Stock Variation 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 — Stock Variation is currently reported for 161 countries. The highest value is 900 1000 t in India; the lowest is -148 1000 t in Canada.
The median across all reporting countries is 0 1000 t, and the mean is 5.47 1000 t.
The gap between the highest and lowest reporting country is a factor of about 6.
Over the past decade 37 countries rose and 33 fell. The largest increase was in Iraq (up 4,200.0%), and the largest decrease in Russian Federation (down 2,440.0%).
Pulses, Other and products — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 900 1000 t | 2023 | down 1.2% | volatile |
| 2 | Niger | 151 1000 t | 2023 | up 20.8% | volatile |
| 3 | Bangladesh | 111 1000 t | 2023 | up 270.0% | volatile |
| 4 | Australia and New Zealand | 98 1000 t | 2023 | up 225.6% | volatile |
| 5 | Australia | 91 1000 t | 2023 | up 218.2% | volatile |
| 6 | Iraq | 43 1000 t | 2023 | up 4,200.0% | volatile |
| 6 | Kenya | 43 1000 t | 2023 | up 115.0% | volatile |
| 8 | Spain | 32 1000 t | 2023 | down 20.0% | volatile |
| 9 | Germany | 23 1000 t | 2023 | up 1,250.0% | volatile |
| 10 | United Kingdom of Great Britain and Northern Ireland | 20 1000 t | 2023 | — | volatile |
| 11 | Algeria | 12 1000 t | 2023 | down 71.4% | volatile |
| 12 | France | 11 1000 t | 2023 | up 200.0% | volatile |
| 13 | Cameroon | 10 1000 t | 2023 | up 150.0% | volatile |
| 14 | Burkina Faso | 6 1000 t | 2023 | down 87.2% | volatile |
| 14 | New Zealand | 6 1000 t | 2023 | up 700.0% | volatile |
| 16 | Senegal | 5 1000 t | 2023 | up 119.2% | volatile |
| 17 | Djibouti | 4 1000 t | 2023 | — | volatile |
| 17 | Zimbabwe | 4 1000 t | 2023 | up 33.3% | volatile |
| 17 | Netherlands (Kingdom of the) | 4 1000 t | 2023 | up 180.0% | volatile |
| 20 | China, People's Republic of | 3 1000 t | 2023 | up 102.4% | volatile |
| 20 | Lebanon | 3 1000 t | 2023 | — | volatile |
| 22 | Colombia | 2 1000 t | 2023 | up 300.0% | volatile |
| 22 | Dominican Republic | 2 1000 t | 2023 | down 66.7% | volatile |
| 22 | Libya | 2 1000 t | 2023 | down 33.3% | volatile |
| 22 | Madagascar, Republic of | 2 1000 t | 2023 | up 100.0% | volatile |
| 22 | Namibia | 2 1000 t | 2023 | up 200.0% | volatile |
| 22 | Pakistan | 2 1000 t | 2023 | — | volatile |
| 22 | China, mainland | 2 1000 t | 2023 | up 101.6% | volatile |
| 29 | Bulgaria | 1 1000 t | 2023 | unchanged | volatile |
| 29 | Czech Republic | 1 1000 t | 2023 | — | volatile |
| 29 | Guinea | 1 1000 t | 2023 | up 200.0% | volatile |
| 29 | Italy | 1 1000 t | 2023 | — | volatile |
| 29 | Jordan | 1 1000 t | 2023 | unchanged | volatile |
| 29 | Mauritius | 1 1000 t | 2023 | — | volatile |
| 29 | Norway | 1 1000 t | 2023 | — | volatile |
| 29 | Oman | 1 1000 t | 2023 | unchanged | volatile |
| 29 | Portugal | 1 1000 t | 2023 | down 50.0% | volatile |
| 29 | Uzbekistan, Republic of | 1 1000 t | 2023 | — | volatile |
| 39 | Afghanistan, Islamic Republic of | 0 1000 t | 2023 | down 100.0% | volatile |
| 39 | Albania | 0 1000 t | 2023 | — | flat |
| 39 | Armenia, Republic of | 0 1000 t | 2023 | — | volatile |
| 39 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 39 | Austria | 0 1000 t | 2023 | up 100.0% | volatile |
| 39 | Belgium | 0 1000 t | 2023 | — | volatile |
| 39 | Bahamas, The | 0 1000 t | 2023 | — | flat |
| 39 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | volatile |
| 39 | Belarus, Republic of | 0 1000 t | 2023 | — | flat |
| 39 | Belize | 0 1000 t | 2023 | — | flat |
| 39 | Brazil | 0 1000 t | 2023 | down 100.0% | flat |
| 39 | Barbados | 0 1000 t | 2023 | — | flat |
| 39 | Bhutan | 0 1000 t | 2023 | — | flat |
| 39 | Botswana | 0 1000 t | 2023 | up 100.0% | volatile |
| 39 | Switzerland | 0 1000 t | 2023 | — | volatile |
| 39 | Chile | 0 1000 t | 2023 | down 100.0% | volatile |
| 39 | Congo, Republic of | 0 1000 t | 2023 | — | flat |
| 39 | Comoros, Union of the | 0 1000 t | 2023 | — | volatile |
| 39 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 39 | Cuba | 0 1000 t | 2019 | — | volatile |
| 39 | Cyprus | 0 1000 t | 2023 | — | flat |
| 39 | Ecuador | 0 1000 t | 2023 | down 100.0% | volatile |
| 39 | Estonia | 0 1000 t | 2023 | — | volatile |
| 39 | Finland | 0 1000 t | 2023 | — | flat |
| 39 | Fiji, Republic of | 0 1000 t | 2023 | — | volatile |
| 39 | Gabon | 0 1000 t | 2023 | — | flat |
| 39 | Georgia | 0 1000 t | 2023 | — | flat |
| 39 | Ghana | 0 1000 t | 2023 | — | volatile |
| 39 | Gambia, The | 0 1000 t | 2023 | — | flat |
| 39 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 39 | Greece | 0 1000 t | 2023 | — | volatile |
| 39 | Grenada | 0 1000 t | 2023 | — | flat |
| 39 | Guatemala | 0 1000 t | 2023 | up 100.0% | volatile |
| 39 | Guyana | 0 1000 t | 2023 | — | flat |
| 39 | Honduras | 0 1000 t | 2023 | — | flat |
| 39 | Croatia, Republic of | 0 1000 t | 2023 | — | flat |
| 39 | Haiti | 0 1000 t | 2023 | up 100.0% | volatile |
| 39 | Hungary | 0 1000 t | 2023 | — | volatile |
| 39 | Ireland | 0 1000 t | 2023 | up 100.0% | volatile |
| 39 | Iceland | 0 1000 t | 2023 | — | flat |
| 39 | Jamaica | 0 1000 t | 2023 | — | flat |
| 39 | Kyrgyz Republic | 0 1000 t | 2023 | — | volatile |
| 39 | Cambodia | 0 1000 t | 2023 | up 100.0% | volatile |
| 39 | Kiribati | 0 1000 t | 2023 | — | flat |
| 39 | St. Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 39 | Kuwait | 0 1000 t | 2023 | down 100.0% | volatile |
| 39 | Liberia | 0 1000 t | 2023 | — | flat |
| 39 | St. Lucia | 0 1000 t | 2023 | — | volatile |
| 39 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 39 | Morocco | 0 1000 t | 2023 | down 100.0% | volatile |
| 39 | Maldives | 0 1000 t | 2023 | — | volatile |
| 39 | Mexico | 0 1000 t | 2023 | up 100.0% | volatile |
| 39 | Marshall Islands, Republic of the | 0 1000 t | 2023 | — | flat |
| 39 | North Macedonia, Republic of | 0 1000 t | 2023 | up 100.0% | volatile |
| 39 | Malta | 0 1000 t | 2023 | — | flat |
| 39 | Montenegro | 0 1000 t | 2023 | — | flat |
| 39 | Mongolia | 0 1000 t | 2023 | — | flat |
| 39 | Mozambique, Republic of | 0 1000 t | 2023 | up 100.0% | volatile |
| 39 | Mauritania, Islamic Republic of | 0 1000 t | 2023 | down 100.0% | volatile |
| 39 | Malaysia | 0 1000 t | 2023 | — | volatile |
| 39 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 39 | Nigeria | 0 1000 t | 2023 | down 100.0% | volatile |
| 39 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 39 | Nepal | 0 1000 t | 2023 | down 100.0% | volatile |
| 39 | Naoero, Republic of | 0 1000 t | 2023 | — | flat |
| 39 | Panama | 0 1000 t | 2023 | down 100.0% | volatile |
| 39 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 39 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 39 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 39 | Qatar | 0 1000 t | 2023 | — | volatile |
| 39 | Romania | 0 1000 t | 2023 | up 100.0% | volatile |
| 39 | Rwanda | 0 1000 t | 2023 | — | flat |
| 39 | Saudi Arabia | 0 1000 t | 2023 | down 100.0% | volatile |
| 39 | Solomon Islands | 0 1000 t | 2023 | — | volatile |
| 39 | Sierra Leone | 0 1000 t | 2023 | up 100.0% | volatile |
| 39 | El Salvador | 0 1000 t | 2023 | — | flat |
| 39 | Serbia, Republic of | 0 1000 t | 2023 | up 100.0% | volatile |
| 39 | São Tomé and Príncipe, Democratic Republic of | 0 1000 t | 2023 | — | flat |
| 39 | Suriname | 0 1000 t | 2023 | — | flat |
| 39 | Slovak Republic | 0 1000 t | 2023 | — | volatile |
| 39 | Slovenia, Republic of | 0 1000 t | 2023 | — | flat |
| 39 | Sweden | 0 1000 t | 2023 | — | volatile |
| 39 | Eswatini, Kingdom of | 0 1000 t | 2023 | — | flat |
| 39 | Seychelles | 0 1000 t | 2023 | — | flat |
| 39 | Tajikistan, Republic of | 0 1000 t | 2023 | — | volatile |
| 39 | Tonga | 0 1000 t | 2023 | — | flat |
| 39 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 39 | Tunisia | 0 1000 t | 2023 | up 100.0% | volatile |
| 39 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 39 | Uganda | 0 1000 t | 2023 | — | flat |
| 39 | Uruguay | 0 1000 t | 2023 | down 100.0% | volatile |
| 39 | St. Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 39 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 39 | Samoa | 0 1000 t | 2023 | — | flat |
| 39 | Yemen, Republic of | 0 1000 t | 2023 | up 100.0% | volatile |
| 39 | South Africa | 0 1000 t | 2023 | up 100.0% | volatile |
| 39 | Zambia | 0 1000 t | 2023 | down 100.0% | volatile |
| 39 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 39 | Republic of Korea | 0 1000 t | 2023 | — | volatile |
| 39 | China, Taiwan Province of | 0 1000 t | 2023 | — | volatile |
| 39 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
| 140 | Kazakhstan, Republic of | -1 1000 t | 2023 | down 150.0% | volatile |
| 140 | Sri Lanka | -1 1000 t | 2023 | down 114.3% | volatile |
| 140 | Malawi | -1 1000 t | 2023 | down 104.2% | volatile |
| 140 | Peru | -1 1000 t | 2023 | up 83.3% | volatile |
| 140 | Ukraine | -1 1000 t | 2023 | up 66.7% | volatile |
| 145 | Azerbaijan, Republic of | -2 1000 t | 2023 | — | volatile |
| 145 | Indonesia | -2 1000 t | 2023 | down 300.0% | volatile |
| 145 | Israel | -2 1000 t | 2023 | down 122.2% | volatile |
| 145 | Philippines | -2 1000 t | 2023 | down 200.0% | volatile |
| 149 | Thailand | -3 1000 t | 2023 | down 115.8% | volatile |
| 150 | Bahrain, Kingdom of | -4 1000 t | 2023 | — | volatile |
| 151 | Denmark | -9 1000 t | 2023 | — | volatile |
| 152 | Egypt, Arab Republic of | -12 1000 t | 2023 | up 78.2% | volatile |
| 153 | Argentina | -13 1000 t | 2023 | down 533.3% | volatile |
| 154 | Poland, Republic of | -24 1000 t | 2023 | down 155.8% | volatile |
| 155 | United Arab Emirates | -30 1000 t | 2023 | down 176.9% | volatile |
| 156 | Latvia, Republic of | -54 1000 t | 2023 | — | volatile |
| 157 | Lithuania, Republic of | -73 1000 t | 2023 | — | volatile |
| 158 | Ethiopia, The Federal Democratic Republic of | -92 1000 t | 2023 | down 513.3% | volatile |
| 159 | Myanmar | -121 1000 t | 2023 | — | volatile |
| 160 | Russian Federation | -127 1000 t | 2023 | down 2,440.0% | volatile |
| 161 | Canada | -148 1000 t | 2023 | down 202.1% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Asia 1,090 1000 t
- World 999 1000 t
- Net Food Importing Developing Countries (NFIDCs) 107 1000 t
- Low Income Food Deficit Countries (LIFDCs) 100 1000 t
- Land Locked Developing Countries (LLDCs) 64 1000 t
- Western Europe 38 1000 t
- Africa 156 1000 t
- United States of America 21 1000 t
- Oceania 98 1000 t
- European Union (27) -87 1000 t
- Northern Europe -114 1000 t
- Northern America -128 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.