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 134 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 8.85 1000 t.
The gap between the highest and lowest reporting country is a factor of about 6.
Over the past decade 42 countries rose and 44 fell. The largest increase was in Iraq (up 4,200.0%), and the largest decrease in Russia (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 | Turkey | 255 1000 t | 2023 | up 264.3% | volatile |
| 2 | Türkiye | 255 1000 t | 2023 | up 264.3% | volatile |
| 4 | Niger | 151 1000 t | 2023 | up 20.8% | volatile |
| 5 | Bangladesh | 111 1000 t | 2023 | up 270.0% | volatile |
| 6 | Australia and New Zealand | 98 1000 t | 2023 | up 225.6% | volatile |
| 7 | Australia | 91 1000 t | 2023 | up 218.2% | volatile |
| 8 | Iraq | 43 1000 t | 2023 | up 4,200.0% | volatile |
| 8 | Kenya | 43 1000 t | 2023 | up 115.0% | volatile |
| 10 | Spain | 32 1000 t | 2023 | down 20.0% | volatile |
| 11 | Germany | 23 1000 t | 2023 | up 1,250.0% | volatile |
| 12 | United States | 21 1000 t | 2023 | up 205.0% | volatile |
| 13 | United Kingdom | 20 1000 t | 2023 | — | volatile |
| 13 | United Kingdom of Great Britain and Northern Ireland | 20 1000 t | 2023 | — | volatile |
| 15 | United Republic of Tanzania | 18 1000 t | 2023 | down 87.3% | volatile |
| 16 | Algeria | 12 1000 t | 2023 | down 71.4% | volatile |
| 17 | France | 11 1000 t | 2023 | up 200.0% | volatile |
| 18 | Cameroon | 10 1000 t | 2023 | up 150.0% | volatile |
| 19 | Burkina Faso | 6 1000 t | 2023 | down 87.2% | volatile |
| 19 | New Zealand | 6 1000 t | 2023 | up 700.0% | volatile |
| 21 | Senegal | 5 1000 t | 2023 | up 119.2% | volatile |
| 22 | Djibouti | 4 1000 t | 2023 | — | volatile |
| 22 | Zimbabwe | 4 1000 t | 2023 | up 33.3% | volatile |
| 22 | Netherlands (Kingdom of the) | 4 1000 t | 2023 | up 180.0% | volatile |
| 25 | China | 3 1000 t | 2023 | up 102.4% | volatile |
| 25 | Lebanon | 3 1000 t | 2023 | — | volatile |
| 27 | Colombia | 2 1000 t | 2023 | up 300.0% | volatile |
| 27 | Dominican Republic | 2 1000 t | 2023 | down 66.7% | volatile |
| 27 | Libya | 2 1000 t | 2023 | down 33.3% | volatile |
| 27 | Madagascar | 2 1000 t | 2023 | up 100.0% | volatile |
| 27 | Namibia | 2 1000 t | 2023 | up 200.0% | volatile |
| 27 | Pakistan | 2 1000 t | 2023 | — | volatile |
| 27 | Democratic Republic of the Congo | 2 1000 t | 2023 | up 166.7% | volatile |
| 27 | China, mainland | 2 1000 t | 2023 | up 101.6% | volatile |
| 35 | Bulgaria | 1 1000 t | 2023 | unchanged | volatile |
| 35 | Czechia | 1 1000 t | 2023 | — | volatile |
| 35 | Guinea | 1 1000 t | 2023 | up 200.0% | volatile |
| 35 | Italy | 1 1000 t | 2023 | — | volatile |
| 35 | Jordan | 1 1000 t | 2023 | unchanged | volatile |
| 35 | Mauritius | 1 1000 t | 2023 | — | volatile |
| 35 | Norway | 1 1000 t | 2023 | — | volatile |
| 35 | Oman | 1 1000 t | 2023 | unchanged | volatile |
| 35 | Portugal | 1 1000 t | 2023 | down 50.0% | volatile |
| 35 | Uzbekistan | 1 1000 t | 2023 | — | volatile |
| 45 | Afghanistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 45 | Armenia | 0 1000 t | 2023 | — | volatile |
| 45 | Austria | 0 1000 t | 2023 | up 100.0% | volatile |
| 45 | Belgium | 0 1000 t | 2023 | — | volatile |
| 45 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | volatile |
| 45 | Brazil | 0 1000 t | 2023 | down 100.0% | flat |
| 45 | Botswana | 0 1000 t | 2023 | up 100.0% | volatile |
| 45 | Switzerland | 0 1000 t | 2023 | — | volatile |
| 45 | Chile | 0 1000 t | 2023 | down 100.0% | volatile |
| 45 | Cote d'Ivoire | 0 1000 t | 2023 | — | volatile |
| 45 | Comoros | 0 1000 t | 2023 | — | volatile |
| 45 | Cuba | 0 1000 t | 2019 | — | volatile |
| 45 | Ecuador | 0 1000 t | 2023 | down 100.0% | volatile |
| 45 | Estonia | 0 1000 t | 2023 | — | volatile |
| 45 | Fiji | 0 1000 t | 2023 | — | volatile |
| 45 | Ghana | 0 1000 t | 2023 | — | volatile |
| 45 | Greece | 0 1000 t | 2023 | — | volatile |
| 45 | Guatemala | 0 1000 t | 2023 | up 100.0% | volatile |
| 45 | Haiti | 0 1000 t | 2023 | up 100.0% | volatile |
| 45 | Hungary | 0 1000 t | 2023 | — | volatile |
| 45 | Ireland | 0 1000 t | 2023 | up 100.0% | volatile |
| 45 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 45 | Cambodia | 0 1000 t | 2023 | up 100.0% | volatile |
| 45 | Kuwait | 0 1000 t | 2023 | down 100.0% | volatile |
| 45 | Laos | 0 1000 t | 2023 | down 100.0% | volatile |
| 45 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 45 | Morocco | 0 1000 t | 2023 | down 100.0% | volatile |
| 45 | Moldova | 0 1000 t | 2023 | down 100.0% | volatile |
| 45 | Maldives | 0 1000 t | 2023 | — | volatile |
| 45 | Mexico | 0 1000 t | 2023 | up 100.0% | volatile |
| 45 | North Macedonia | 0 1000 t | 2023 | up 100.0% | volatile |
| 45 | Mozambique | 0 1000 t | 2023 | up 100.0% | volatile |
| 45 | Mauritania | 0 1000 t | 2023 | down 100.0% | volatile |
| 45 | Malaysia | 0 1000 t | 2023 | — | volatile |
| 45 | Nigeria | 0 1000 t | 2023 | down 100.0% | volatile |
| 45 | Nepal | 0 1000 t | 2023 | down 100.0% | volatile |
| 45 | Panama | 0 1000 t | 2023 | down 100.0% | volatile |
| 45 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 45 | Qatar | 0 1000 t | 2023 | — | volatile |
| 45 | Romania | 0 1000 t | 2023 | up 100.0% | volatile |
| 45 | Saudi Arabia | 0 1000 t | 2023 | down 100.0% | volatile |
| 45 | Solomon Islands | 0 1000 t | 2023 | — | volatile |
| 45 | Sierra Leone | 0 1000 t | 2023 | up 100.0% | volatile |
| 45 | Serbia | 0 1000 t | 2023 | up 100.0% | volatile |
| 45 | Slovakia | 0 1000 t | 2023 | — | volatile |
| 45 | Sweden | 0 1000 t | 2023 | — | volatile |
| 45 | Tajikistan | 0 1000 t | 2023 | — | volatile |
| 45 | Tunisia | 0 1000 t | 2023 | up 100.0% | volatile |
| 45 | Uruguay | 0 1000 t | 2023 | down 100.0% | volatile |
| 45 | Yemen | 0 1000 t | 2023 | up 100.0% | volatile |
| 45 | South Africa | 0 1000 t | 2023 | up 100.0% | volatile |
| 45 | Zambia | 0 1000 t | 2023 | down 100.0% | volatile |
| 45 | Cabo Verde | 0 1000 t | 2023 | — | volatile |
| 45 | Melanesia | 0 1000 t | 2023 | — | volatile |
| 45 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | volatile |
| 45 | Iran (Islamic Republic of) | 0 1000 t | 2023 | up 100.0% | volatile |
| 45 | Republic of Korea | 0 1000 t | 2023 | — | volatile |
| 45 | Republic of Moldova | 0 1000 t | 2023 | down 100.0% | volatile |
| 45 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 45 | Côte d'Ivoire | 0 1000 t | 2023 | — | volatile |
| 45 | Lao People's Democratic Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 45 | China, Taiwan Province of | 0 1000 t | 2023 | — | volatile |
| 164 | Kazakhstan | -1 1000 t | 2023 | down 150.0% | volatile |
| 164 | Sri Lanka | -1 1000 t | 2023 | down 114.3% | volatile |
| 164 | Malawi | -1 1000 t | 2023 | down 104.2% | volatile |
| 164 | Peru | -1 1000 t | 2023 | up 83.3% | volatile |
| 164 | Ukraine | -1 1000 t | 2023 | up 66.7% | volatile |
| 169 | Azerbaijan | -2 1000 t | 2023 | — | volatile |
| 169 | Indonesia | -2 1000 t | 2023 | down 300.0% | volatile |
| 169 | Israel | -2 1000 t | 2023 | down 122.2% | volatile |
| 169 | Philippines | -2 1000 t | 2023 | down 200.0% | volatile |
| 173 | Thailand | -3 1000 t | 2023 | down 115.8% | volatile |
| 174 | Bahrain | -4 1000 t | 2023 | — | volatile |
| 175 | Denmark | -9 1000 t | 2023 | — | volatile |
| 176 | Egypt | -12 1000 t | 2023 | up 78.2% | volatile |
| 177 | Argentina | -13 1000 t | 2023 | down 533.3% | volatile |
| 177 | Caribbean | -13 1000 t | 2023 | down 425.0% | volatile |
| 179 | Vietnam | -14 1000 t | 2023 | down 333.3% | volatile |
| 179 | Viet Nam | -14 1000 t | 2023 | down 333.3% | volatile |
| 181 | Poland | -24 1000 t | 2023 | down 155.8% | volatile |
| 182 | United Arab Emirates | -30 1000 t | 2023 | down 176.9% | volatile |
| 183 | Syria | -49 1000 t | 2023 | down 388.2% | volatile |
| 183 | Syrian Arab Republic | -49 1000 t | 2023 | down 388.2% | volatile |
| 185 | Latvia | -54 1000 t | 2023 | — | volatile |
| 186 | Lithuania | -73 1000 t | 2023 | — | volatile |
| 187 | Ethiopia | -92 1000 t | 2023 | down 513.3% | volatile |
| 188 | Myanmar | -121 1000 t | 2023 | — | volatile |
| 189 | Russia | -127 1000 t | 2023 | down 2,440.0% | volatile |
| 189 | Russian Federation | -127 1000 t | 2023 | down 2,440.0% | volatile |
| 191 | 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
- Southern Asia 1,012 1000 t
- World 999 1000 t
- Western Asia 216 1000 t
- Western Africa 165 1000 t
- Africa 156 1000 t
- Net Food Importing Developing Countries (NFIDCs) 107 1000 t
- Low Income Food Deficit Countries (LIFDCs) 100 1000 t
- Oceania 98 1000 t
- Least Developed Countries (LDCs) 85 1000 t
- Land Locked Developing Countries (LLDCs) 64 1000 t
- Western Europe 38 1000 t
- Southern Europe 34 1000 t
- United States of America 21 1000 t
- Middle Africa 11 1000 t
- Eastern Asia 3 1000 t
- Northern Africa 2 1000 t
- Southern Africa 2 1000 t
- Central Asia 0 1000 t
- Central America 0 1000 t
- South America -12 1000 t
- Small island developing States (SIDS) -13 1000 t
- Eastern Africa -24 1000 t
- European Union (27) -87 1000 t
- Northern Europe -114 1000 t
- Northern America -128 1000 t
- South-Eastern Asia -141 1000 t
- Eastern Europe -150 1000 t
- Americas -153 1000 t
- Europe -192 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.