Pulses — 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...
Countries reporting
162
Highest
1,212 1000 t
India
Lowest
-513 1000 t
Canada
Median
0 1000 t
Years covered
14
2010–2023
Data points
3,038
What the numbers show
Pulses — Stock Variation is currently reported for 162 countries. The highest value is 1,212 1000 t in India; the lowest is -513 1000 t in Canada.
The median across all reporting countries is 0 1000 t, and the mean is 6.94 1000 t.
The gap between the highest and lowest reporting country is a factor of about 2.
Over the past decade 60 countries rose and 52 fell. The largest increase was in Iraq (up 3,900.0%), and the largest decrease in Russia (down 9,000.0%).
Pulses — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 1,212 1000 t | 2023 | up 21.8% | volatile |
| 2 | Spain | 254 1000 t | 2023 | up 946.7% | volatile |
| 3 | Turkey | 248 1000 t | 2023 | up 335.1% | volatile |
| 3 | Türkiye | 248 1000 t | 2023 | up 335.1% | volatile |
| 5 | China | 247 1000 t | 2023 | up 223.5% | volatile |
| 5 | China, mainland | 247 1000 t | 2023 | up 222.9% | volatile |
| 7 | Australia and New Zealand | 165 1000 t | 2023 | up 320.0% | volatile |
| 8 | Australia | 157 1000 t | 2023 | up 312.2% | volatile |
| 9 | Niger | 151 1000 t | 2023 | up 19.8% | volatile |
| 10 | United Republic of Tanzania | 150 1000 t | 2023 | down 64.9% | volatile |
| 11 | Bangladesh | 115 1000 t | 2023 | up 105.4% | volatile |
| 12 | Iraq | 80 1000 t | 2023 | up 3,900.0% | volatile |
| 13 | Kazakhstan | 46 1000 t | 2023 | up 1,433.3% | volatile |
| 14 | Zambia | 40 1000 t | 2023 | up 3,900.0% | volatile |
| 15 | Romania | 38 1000 t | 2023 | up 733.3% | volatile |
| 16 | Dominican Republic | 26 1000 t | 2023 | up 13.0% | volatile |
| 17 | Pakistan | 25 1000 t | 2023 | — | volatile |
| 18 | Argentina | 21 1000 t | 2023 | up 400.0% | volatile |
| 18 | Mozambique | 21 1000 t | 2023 | down 63.2% | volatile |
| 20 | Germany | 19 1000 t | 2023 | up 1,050.0% | volatile |
| 21 | Djibouti | 17 1000 t | 2023 | up 466.7% | volatile |
| 22 | Democratic Republic of the Congo | 14 1000 t | 2023 | down 39.1% | volatile |
| 23 | Brazil | 13 1000 t | 2023 | up 105.4% | volatile |
| 23 | Algeria | 13 1000 t | 2023 | down 70.5% | volatile |
| 25 | Tajikistan | 10 1000 t | 2023 | up 900.0% | volatile |
| 25 | Netherlands (Kingdom of the) | 10 1000 t | 2023 | up 300.0% | volatile |
| 27 | Estonia | 8 1000 t | 2023 | — | volatile |
| 27 | New Zealand | 8 1000 t | 2023 | up 900.0% | volatile |
| 29 | Burkina Faso | 6 1000 t | 2023 | down 87.2% | volatile |
| 29 | Senegal | 6 1000 t | 2023 | up 125.0% | volatile |
| 31 | Kyrgyzstan | 5 1000 t | 2023 | up 400.0% | volatile |
| 31 | Zimbabwe | 5 1000 t | 2023 | up 66.7% | volatile |
| 33 | Lebanon | 4 1000 t | 2023 | — | volatile |
| 34 | Finland | 3 1000 t | 2023 | up 400.0% | volatile |
| 34 | Ghana | 3 1000 t | 2023 | up 130.0% | volatile |
| 34 | Libya | 3 1000 t | 2023 | down 50.0% | volatile |
| 34 | Moldova | 3 1000 t | 2023 | up 200.0% | volatile |
| 34 | Yemen | 3 1000 t | 2023 | up 400.0% | volatile |
| 34 | Republic of Moldova | 3 1000 t | 2023 | up 200.0% | volatile |
| 40 | Albania | 2 1000 t | 2023 | unchanged | volatile |
| 40 | Bosnia and Herzegovina | 2 1000 t | 2023 | down 50.0% | volatile |
| 40 | Guinea | 2 1000 t | 2023 | up 300.0% | volatile |
| 40 | Guatemala | 2 1000 t | 2023 | up 115.4% | volatile |
| 40 | Croatia | 2 1000 t | 2023 | — | volatile |
| 40 | Hungary | 2 1000 t | 2023 | — | volatile |
| 40 | Madagascar | 2 1000 t | 2023 | — | volatile |
| 40 | Mauritius | 2 1000 t | 2023 | — | volatile |
| 40 | Namibia | 2 1000 t | 2023 | up 300.0% | volatile |
| 40 | Vietnam | 2 1000 t | 2023 | up 140.0% | volatile |
| 40 | Viet Nam | 2 1000 t | 2023 | up 140.0% | volatile |
| 51 | Bulgaria | 1 1000 t | 2023 | unchanged | volatile |
| 51 | Switzerland | 1 1000 t | 2023 | — | volatile |
| 51 | Chile | 1 1000 t | 2023 | down 88.9% | volatile |
| 51 | Czechia | 1 1000 t | 2023 | — | volatile |
| 51 | Greece | 1 1000 t | 2023 | — | volatile |
| 51 | Italy | 1 1000 t | 2023 | — | volatile |
| 51 | Jordan | 1 1000 t | 2023 | — | volatile |
| 51 | Cambodia | 1 1000 t | 2023 | up 200.0% | volatile |
| 51 | Oman | 1 1000 t | 2023 | down 50.0% | volatile |
| 51 | Philippines | 1 1000 t | 2023 | down 83.3% | volatile |
| 51 | Portugal | 1 1000 t | 2023 | down 50.0% | volatile |
| 51 | Rwanda | 1 1000 t | 2023 | down 96.8% | volatile |
| 51 | Republic of Korea | 1 1000 t | 2023 | — | volatile |
| 51 | China, Taiwan Province of | 1 1000 t | 2023 | unchanged | volatile |
| 65 | Afghanistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 65 | Austria | 0 1000 t | 2023 | up 100.0% | volatile |
| 65 | Belgium | 0 1000 t | 2023 | — | volatile |
| 65 | Bhutan | 0 1000 t | 2023 | — | volatile |
| 65 | Botswana | 0 1000 t | 2023 | down 100.0% | volatile |
| 65 | Cote d'Ivoire | 0 1000 t | 2023 | up 100.0% | volatile |
| 65 | Congo | 0 1000 t | 2023 | up 100.0% | volatile |
| 65 | Comoros | 0 1000 t | 2023 | — | volatile |
| 65 | Costa Rica | 0 1000 t | 2023 | up 100.0% | volatile |
| 65 | Cuba | 0 1000 t | 2019 | — | volatile |
| 65 | Cyprus | 0 1000 t | 2023 | — | volatile |
| 65 | Ecuador | 0 1000 t | 2023 | — | volatile |
| 65 | Fiji | 0 1000 t | 2023 | down 100.0% | volatile |
| 65 | United Kingdom | 0 1000 t | 2023 | — | volatile |
| 65 | Georgia | 0 1000 t | 2023 | — | volatile |
| 65 | Guyana | 0 1000 t | 2023 | — | volatile |
| 65 | Honduras | 0 1000 t | 2023 | — | volatile |
| 65 | Haiti | 0 1000 t | 2023 | down 100.0% | volatile |
| 65 | Ireland | 0 1000 t | 2023 | up 100.0% | volatile |
| 65 | Jamaica | 0 1000 t | 2023 | up 100.0% | volatile |
| 65 | Kuwait | 0 1000 t | 2023 | down 100.0% | volatile |
| 65 | Laos | 0 1000 t | 2023 | down 100.0% | volatile |
| 65 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 65 | Morocco | 0 1000 t | 2023 | down 100.0% | volatile |
| 65 | Maldives | 0 1000 t | 2023 | — | volatile |
| 65 | Marshall Islands | 0 1000 t | 2023 | — | volatile |
| 65 | North Macedonia | 0 1000 t | 2023 | — | volatile |
| 65 | Montenegro | 0 1000 t | 2023 | — | volatile |
| 65 | Mauritania | 0 1000 t | 2023 | down 100.0% | volatile |
| 65 | Malaysia | 0 1000 t | 2023 | up 100.0% | volatile |
| 65 | Nigeria | 0 1000 t | 2023 | down 100.0% | volatile |
| 65 | Nepal | 0 1000 t | 2023 | down 100.0% | volatile |
| 65 | Panama | 0 1000 t | 2023 | — | volatile |
| 65 | Qatar | 0 1000 t | 2023 | — | volatile |
| 65 | Saudi Arabia | 0 1000 t | 2023 | — | volatile |
| 65 | Solomon Islands | 0 1000 t | 2023 | — | volatile |
| 65 | Sierra Leone | 0 1000 t | 2023 | up 100.0% | volatile |
| 65 | El Salvador | 0 1000 t | 2023 | down 100.0% | volatile |
| 65 | Serbia | 0 1000 t | 2023 | up 100.0% | volatile |
| 65 | Suriname | 0 1000 t | 2023 | — | flat |
| 65 | Slovakia | 0 1000 t | 2023 | up 100.0% | volatile |
| 65 | Slovenia | 0 1000 t | 2023 | up 100.0% | volatile |
| 65 | Sweden | 0 1000 t | 2023 | — | volatile |
| 65 | Eswatini | 0 1000 t | 2023 | up 100.0% | volatile |
| 65 | Turkmenistan | 0 1000 t | 2023 | down 100.0% | flat |
| 65 | Trinidad and Tobago | 0 1000 t | 2023 | up 100.0% | flat |
| 65 | Tunisia | 0 1000 t | 2023 | — | volatile |
| 65 | Uruguay | 0 1000 t | 2023 | down 100.0% | flat |
| 65 | Uzbekistan | 0 1000 t | 2023 | up 100.0% | volatile |
| 65 | South Africa | 0 1000 t | 2023 | down 100.0% | volatile |
| 65 | Micronesia | 0 1000 t | 2023 | — | volatile |
| 65 | Cabo Verde | 0 1000 t | 2023 | — | volatile |
| 65 | Melanesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 65 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | up 100.0% | volatile |
| 65 | China, Hong Kong SAR | 0 1000 t | 2023 | up 100.0% | volatile |
| 65 | Iran (Islamic Republic of) | 0 1000 t | 2023 | up 100.0% | volatile |
| 65 | Côte d'Ivoire | 0 1000 t | 2023 | up 100.0% | volatile |
| 65 | Lao People's Democratic Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 65 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | volatile |
| 65 | Democratic People's Republic of Korea | 0 1000 t | 2018 | down 100.0% | volatile |
| 157 | Armenia | -1 1000 t | 2023 | — | flat |
| 157 | Belize | -1 1000 t | 2023 | unchanged | volatile |
| 157 | Sri Lanka | -1 1000 t | 2023 | — | volatile |
| 157 | Lesotho | -1 1000 t | 2023 | down 133.3% | volatile |
| 157 | Malawi | -1 1000 t | 2023 | down 102.0% | volatile |
| 157 | Peru | -1 1000 t | 2023 | up 80.0% | volatile |
| 163 | Indonesia | -2 1000 t | 2023 | up 71.4% | volatile |
| 163 | Thailand | -2 1000 t | 2023 | down 109.1% | volatile |
| 165 | Azerbaijan | -3 1000 t | 2023 | — | volatile |
| 165 | Bahrain | -3 1000 t | 2023 | — | volatile |
| 165 | Belarus | -3 1000 t | 2023 | — | volatile |
| 165 | Israel | -3 1000 t | 2023 | down 133.3% | volatile |
| 169 | Colombia | -6 1000 t | 2023 | up 71.4% | volatile |
| 170 | Cameroon | -7 1000 t | 2023 | down 128.0% | volatile |
| 171 | Paraguay | -8 1000 t | 2023 | down 366.7% | volatile |
| 172 | Denmark | -9 1000 t | 2023 | down 550.0% | volatile |
| 172 | France | -9 1000 t | 2023 | up 72.7% | volatile |
| 174 | Nicaragua | -15 1000 t | 2023 | up 42.3% | volatile |
| 174 | Norway | -15 1000 t | 2023 | — | volatile |
| 176 | Mexico | -19 1000 t | 2023 | down 533.3% | volatile |
| 177 | Kenya | -20 1000 t | 2023 | down 242.9% | volatile |
| 177 | Venezuela (Bolivarian Republic of) | -20 1000 t | 2023 | up 50.0% | volatile |
| 179 | Caribbean | -23 1000 t | 2023 | down 200.0% | volatile |
| 180 | Poland | -24 1000 t | 2023 | down 196.0% | volatile |
| 181 | United Arab Emirates | -47 1000 t | 2023 | down 274.1% | volatile |
| 181 | Latvia | -47 1000 t | 2023 | — | volatile |
| 183 | Syria | -49 1000 t | 2023 | down 372.2% | volatile |
| 183 | Syrian Arab Republic | -49 1000 t | 2023 | down 372.2% | volatile |
| 185 | Angola | -52 1000 t | 2023 | down 165.0% | volatile |
| 186 | Egypt | -57 1000 t | 2023 | down 42.5% | volatile |
| 186 | Ukraine | -57 1000 t | 2023 | down 470.0% | volatile |
| 188 | Lithuania | -82 1000 t | 2023 | — | volatile |
| 189 | Ethiopia | -116 1000 t | 2023 | down 39.8% | volatile |
| 190 | Myanmar | -178 1000 t | 2023 | down 204.1% | volatile |
| 191 | United States | -205 1000 t | 2023 | down 13.9% | volatile |
| 192 | Russia | -455 1000 t | 2023 | down 9,000.0% | volatile |
| 192 | Russian Federation | -455 1000 t | 2023 | down 9,000.0% | volatile |
| 194 | Canada | -513 1000 t | 2023 | down 170.3% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Asia 1,713 1000 t
- Southern Asia 1,351 1000 t
- World 928 1000 t
- Southern Europe 264 1000 t
- Eastern Asia 250 1000 t
- Western Asia 228 1000 t
- Africa 177 1000 t
- Western Africa 177 1000 t
- Least Developed Countries (LDCs) 175 1000 t
- European Union (27) 171 1000 t
- Low Income Food Deficit Countries (LIFDCs) 170 1000 t
- Oceania 165 1000 t
- Land Locked Developing Countries (LLDCs) 120 1000 t
- Eastern Africa 97 1000 t
- Net Food Importing Developing Countries (NFIDCs) 82 1000 t
- Central Asia 62 1000 t
- Western Europe 21 1000 t
- Southern Africa 1 1000 t
- South America -1 1000 t
- Small island developing States (SIDS) -22 1000 t
- Central America -34 1000 t
- Northern Africa -39 1000 t
- Middle Africa -59 1000 t
- Northern Europe -142 1000 t
- South-Eastern Asia -178 1000 t
- United States of America -205 1000 t
- Europe -350 1000 t
- Eastern Europe -494 1000 t
- Northern America -719 1000 t
- Americas -776 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.