Cereals, other — 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
Cereals, other — Stock Variation is currently reported for 113 countries. The highest value is 109 1000 t in China; the lowest is -43 1000 t in Russian Federation.
The median across all reporting countries is 0 1000 t, and the mean is 3.15 1000 t.
The gap between the highest and lowest reporting country is a factor of about 3.
Over the past decade 38 countries rose and 20 fell. The largest increase was in Laos (up 3,900.0%), and the largest decrease in Cote d'Ivoire (down 800.0%).
Cereals, other — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 109 1000 t | 2023 | up 878.6% | volatile |
| 2 | China, mainland | 108 1000 t | 2023 | up 871.4% | volatile |
| 3 | Germany | 44 1000 t | 2023 | up 173.3% | volatile |
| 4 | Laos | 40 1000 t | 2023 | up 3,900.0% | volatile |
| 4 | Ukraine | 40 1000 t | 2023 | up 500.0% | volatile |
| 4 | Lao People's Democratic Republic | 40 1000 t | 2023 | up 3,900.0% | volatile |
| 7 | Argentina | 36 1000 t | 2023 | up 1,100.0% | volatile |
| 8 | Netherlands (Kingdom of the) | 21 1000 t | 2023 | down 41.7% | volatile |
| 9 | Belgium | 12 1000 t | 2023 | — | volatile |
| 9 | Uruguay | 12 1000 t | 2023 | — | volatile |
| 11 | Australia | 7 1000 t | 2023 | up 75.0% | volatile |
| 11 | Uzbekistan | 7 1000 t | 2023 | up 133.3% | volatile |
| 11 | Australia and New Zealand | 7 1000 t | 2023 | up 75.0% | volatile |
| 14 | Ghana | 6 1000 t | 2023 | up 300.0% | volatile |
| 15 | France | 5 1000 t | 2023 | up 108.5% | volatile |
| 15 | Romania | 5 1000 t | 2023 | up 111.9% | volatile |
| 17 | Cyprus | 4 1000 t | 2023 | — | volatile |
| 18 | Italy | 3 1000 t | 2023 | — | volatile |
| 18 | Republic of Korea | 3 1000 t | 2023 | up 400.0% | volatile |
| 20 | Finland | 2 1000 t | 2023 | up 100.0% | volatile |
| 20 | Mexico | 2 1000 t | 2023 | up 108.0% | volatile |
| 20 | Turkey | 2 1000 t | 2023 | up 110.5% | volatile |
| 20 | Türkiye | 2 1000 t | 2023 | up 110.5% | volatile |
| 24 | Austria | 1 1000 t | 2023 | up 114.3% | volatile |
| 24 | Bangladesh | 1 1000 t | 2023 | — | volatile |
| 24 | Brazil | 1 1000 t | 2023 | — | volatile |
| 24 | Ireland | 1 1000 t | 2023 | down 66.7% | volatile |
| 24 | Myanmar | 1 1000 t | 2023 | — | volatile |
| 24 | Nigeria | 1 1000 t | 2023 | — | volatile |
| 24 | Oman | 1 1000 t | 2023 | — | volatile |
| 24 | Peru | 1 1000 t | 2023 | up 116.7% | volatile |
| 24 | Poland | 1 1000 t | 2023 | up 101.6% | volatile |
| 24 | Vietnam | 1 1000 t | 2023 | — | volatile |
| 24 | Viet Nam | 1 1000 t | 2023 | — | volatile |
| 24 | China, Taiwan Province of | 1 1000 t | 2023 | — | volatile |
| 36 | United Arab Emirates | 0 1000 t | 2023 | down 100.0% | volatile |
| 36 | Armenia | 0 1000 t | 2023 | up 100.0% | volatile |
| 36 | Azerbaijan | 0 1000 t | 2023 | up 100.0% | volatile |
| 36 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 36 | Bhutan | 0 1000 t | 2023 | — | volatile |
| 36 | Botswana | 0 1000 t | 2023 | — | volatile |
| 36 | Switzerland | 0 1000 t | 2023 | — | volatile |
| 36 | Chile | 0 1000 t | 2023 | — | volatile |
| 36 | Cameroon | 0 1000 t | 2023 | — | flat |
| 36 | Colombia | 0 1000 t | 2023 | — | flat |
| 36 | Algeria | 0 1000 t | 2023 | — | volatile |
| 36 | Ecuador | 0 1000 t | 2023 | — | flat |
| 36 | Egypt | 0 1000 t | 2023 | up 100.0% | volatile |
| 36 | Estonia | 0 1000 t | 2023 | — | volatile |
| 36 | Ethiopia | 0 1000 t | 2023 | down 100.0% | volatile |
| 36 | United Kingdom | 0 1000 t | 2023 | — | volatile |
| 36 | Georgia | 0 1000 t | 2023 | up 100.0% | volatile |
| 36 | Guinea-Bissau | 0 1000 t | 2023 | — | volatile |
| 36 | Greece | 0 1000 t | 2023 | — | volatile |
| 36 | Honduras | 0 1000 t | 2023 | — | volatile |
| 36 | Croatia | 0 1000 t | 2023 | — | volatile |
| 36 | Haiti | 0 1000 t | 2023 | — | volatile |
| 36 | Hungary | 0 1000 t | 2023 | down 100.0% | volatile |
| 36 | Indonesia | 0 1000 t | 2023 | up 100.0% | volatile |
| 36 | India | 0 1000 t | 2023 | — | volatile |
| 36 | Kyrgyzstan | 0 1000 t | 2023 | down 100.0% | volatile |
| 36 | Luxembourg | 0 1000 t | 2023 | down 100.0% | volatile |
| 36 | Moldova | 0 1000 t | 2023 | down 100.0% | volatile |
| 36 | North Macedonia | 0 1000 t | 2023 | — | volatile |
| 36 | Montenegro | 0 1000 t | 2023 | — | volatile |
| 36 | Mongolia | 0 1000 t | 2023 | down 100.0% | volatile |
| 36 | Mozambique | 0 1000 t | 2023 | down 100.0% | flat |
| 36 | Niger | 0 1000 t | 2023 | down 100.0% | flat |
| 36 | Nepal | 0 1000 t | 2023 | down 100.0% | volatile |
| 36 | New Zealand | 0 1000 t | 2023 | — | flat |
| 36 | Pakistan | 0 1000 t | 2023 | up 100.0% | volatile |
| 36 | Philippines | 0 1000 t | 2023 | up 100.0% | flat |
| 36 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 36 | Portugal | 0 1000 t | 2023 | — | volatile |
| 36 | Paraguay | 0 1000 t | 2023 | — | flat |
| 36 | Qatar | 0 1000 t | 2023 | — | volatile |
| 36 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 36 | Saudi Arabia | 0 1000 t | 2023 | — | volatile |
| 36 | Serbia | 0 1000 t | 2023 | — | volatile |
| 36 | Slovakia | 0 1000 t | 2023 | — | volatile |
| 36 | Slovenia | 0 1000 t | 2023 | — | volatile |
| 36 | Eswatini | 0 1000 t | 2023 | — | volatile |
| 36 | Trinidad and Tobago | 0 1000 t | 2023 | down 100.0% | volatile |
| 36 | Tunisia | 0 1000 t | 2023 | — | volatile |
| 36 | Vanuatu | 0 1000 t | 2023 | — | volatile |
| 36 | South Africa | 0 1000 t | 2023 | up 100.0% | volatile |
| 36 | Zambia | 0 1000 t | 2023 | up 100.0% | volatile |
| 36 | Melanesia | 0 1000 t | 2023 | — | volatile |
| 36 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | volatile |
| 36 | Caribbean | 0 1000 t | 2023 | down 100.0% | flat |
| 36 | Republic of Moldova | 0 1000 t | 2023 | down 100.0% | volatile |
| 36 | United Republic of Tanzania | 0 1000 t | 2023 | up 100.0% | volatile |
| 36 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | volatile |
| 168 | Czechia | -1 1000 t | 2023 | up 87.5% | volatile |
| 168 | Denmark | -1 1000 t | 2023 | — | volatile |
| 168 | Spain | -1 1000 t | 2023 | down 102.0% | volatile |
| 168 | Guinea | -1 1000 t | 2023 | up 93.3% | volatile |
| 168 | Sweden | -1 1000 t | 2023 | up 94.1% | volatile |
| 168 | Thailand | -1 1000 t | 2023 | down 120.0% | volatile |
| 168 | United States | -1 1000 t | 2023 | — | volatile |
| 175 | Latvia | -2 1000 t | 2023 | — | volatile |
| 176 | Belarus | -3 1000 t | 2023 | up 85.7% | volatile |
| 176 | Kazakhstan | -3 1000 t | 2023 | up 40.0% | volatile |
| 176 | Kenya | -3 1000 t | 2023 | up 50.0% | volatile |
| 179 | Bulgaria | -4 1000 t | 2023 | — | volatile |
| 179 | Malaysia | -4 1000 t | 2023 | — | volatile |
| 181 | Bolivia (Plurinational State of) | -7 1000 t | 2023 | — | volatile |
| 182 | Cote d'Ivoire | -9 1000 t | 2023 | down 800.0% | volatile |
| 182 | Côte d'Ivoire | -9 1000 t | 2023 | down 800.0% | volatile |
| 184 | Lithuania | -10 1000 t | 2023 | down 114.3% | volatile |
| 185 | Canada | -26 1000 t | 2023 | up 25.7% | volatile |
| 186 | Russia | -43 1000 t | 2023 | — | volatile |
| 186 | Russian Federation | -43 1000 t | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 258 1000 t
- Asia 161 1000 t
- Eastern Asia 113 1000 t
- Western Europe 83 1000 t
- European Union (27) 78 1000 t
- Europe 68 1000 t
- Least Developed Countries (LDCs) 50 1000 t
- Land Locked Developing Countries (LLDCs) 45 1000 t
- South America 42 1000 t
- Net Food Importing Developing Countries (NFIDCs) 39 1000 t
- South-Eastern Asia 37 1000 t
- Americas 18 1000 t
- Low Income Food Deficit Countries (LIFDCs) 12 1000 t
- Oceania 7 1000 t
- Western Asia 7 1000 t
- Western Africa 6 1000 t
- Central Asia 4 1000 t
- Africa 3 1000 t
- Central America 2 1000 t
- Southern Europe 2 1000 t
- Southern Asia 1 1000 t
- Small island developing States (SIDS) 0 1000 t
- Southern Africa 0 1000 t
- Middle Africa 0 1000 t
- Northern Africa -1 1000 t
- United States of America -1 1000 t
- Eastern Africa -2 1000 t
- Eastern Europe -6 1000 t
- Northern Europe -12 1000 t
- Northern America -27 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.