Oilcrops, 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
Oilcrops, Other — Stock Variation is currently reported for 78 countries. The highest value is 403 1000 t in China; the lowest is -611 1000 t in Russian Federation.
The median across all reporting countries is 0 1000 t, and the mean is -8.26 1000 t.
Over the past decade 29 countries rose and 13 fell. The largest increase was in Ghana (up 2,066.7%), and the largest decrease in United States (down 2,000.0%).
Oilcrops, Other — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 403 1000 t | 2023 | up 1,512.0% | volatile |
| 1 | China, mainland | 403 1000 t | 2023 | up 1,512.0% | volatile |
| 3 | Ghana | 65 1000 t | 2023 | up 2,066.7% | volatile |
| 4 | India | 31 1000 t | 2023 | up 240.9% | volatile |
| 5 | Belgium | 15 1000 t | 2023 | — | volatile |
| 6 | Brazil | 12 1000 t | 2023 | up 1,300.0% | volatile |
| 7 | Poland | 11 1000 t | 2023 | up 1,200.0% | volatile |
| 8 | Argentina | 9 1000 t | 2023 | up 160.0% | volatile |
| 9 | Afghanistan | 6 1000 t | 2023 | — | volatile |
| 10 | Italy | 4 1000 t | 2023 | — | volatile |
| 11 | Czechia | 3 1000 t | 2023 | up 160.0% | volatile |
| 11 | Ethiopia | 3 1000 t | 2023 | up 130.0% | volatile |
| 13 | Cameroon | 2 1000 t | 2023 | up 100.0% | volatile |
| 13 | Egypt | 2 1000 t | 2023 | up 166.7% | volatile |
| 13 | Spain | 2 1000 t | 2023 | up 300.0% | volatile |
| 13 | Mozambique | 2 1000 t | 2023 | up 100.0% | volatile |
| 17 | Angola | 1 1000 t | 2023 | — | volatile |
| 17 | Austria | 1 1000 t | 2023 | up 104.3% | volatile |
| 17 | Germany | 1 1000 t | 2023 | up 112.5% | volatile |
| 17 | Lithuania | 1 1000 t | 2023 | — | volatile |
| 17 | Paraguay | 1 1000 t | 2023 | — | volatile |
| 17 | Slovakia | 1 1000 t | 2023 | — | volatile |
| 17 | Ukraine | 1 1000 t | 2023 | up 114.3% | volatile |
| 17 | Uzbekistan | 1 1000 t | 2023 | up 200.0% | volatile |
| 25 | Azerbaijan | 0 1000 t | 2023 | down 100.0% | volatile |
| 25 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 25 | Bulgaria | 0 1000 t | 2023 | up 100.0% | volatile |
| 25 | Belarus | 0 1000 t | 2023 | — | volatile |
| 25 | Cote d'Ivoire | 0 1000 t | 2023 | — | volatile |
| 25 | Denmark | 0 1000 t | 2023 | up 100.0% | volatile |
| 25 | France | 0 1000 t | 2023 | — | volatile |
| 25 | Georgia | 0 1000 t | 2023 | — | volatile |
| 25 | Greece | 0 1000 t | 2023 | up 100.0% | volatile |
| 25 | Indonesia | 0 1000 t | 2023 | — | volatile |
| 25 | Jordan | 0 1000 t | 2023 | down 100.0% | volatile |
| 25 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 25 | Luxembourg | 0 1000 t | 2023 | — | volatile |
| 25 | Latvia | 0 1000 t | 2023 | — | flat |
| 25 | Mexico | 0 1000 t | 2023 | up 100.0% | flat |
| 25 | Niger | 0 1000 t | 2023 | — | volatile |
| 25 | Norway | 0 1000 t | 2023 | — | volatile |
| 25 | Nepal | 0 1000 t | 2023 | — | volatile |
| 25 | Oman | 0 1000 t | 2023 | — | volatile |
| 25 | Pakistan | 0 1000 t | 2023 | up 100.0% | volatile |
| 25 | Panama | 0 1000 t | 2023 | up 100.0% | flat |
| 25 | Peru | 0 1000 t | 2023 | — | flat |
| 25 | Portugal | 0 1000 t | 2023 | — | volatile |
| 25 | Romania | 0 1000 t | 2023 | — | volatile |
| 25 | Serbia | 0 1000 t | 2023 | — | volatile |
| 25 | Sweden | 0 1000 t | 2023 | — | volatile |
| 25 | Thailand | 0 1000 t | 2023 | up 100.0% | volatile |
| 25 | South Africa | 0 1000 t | 2023 | — | volatile |
| 25 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | up 100.0% | volatile |
| 25 | Iran (Islamic Republic of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 25 | Côte d'Ivoire | 0 1000 t | 2023 | — | volatile |
| 25 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 25 | China, Taiwan Province of | 0 1000 t | 2023 | up 100.0% | volatile |
| 25 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | down 100.0% | volatile |
| 167 | Australia | -1 1000 t | 2023 | unchanged | volatile |
| 167 | Switzerland | -1 1000 t | 2023 | — | flat |
| 167 | Hungary | -1 1000 t | 2023 | down 200.0% | volatile |
| 167 | Syria | -1 1000 t | 2023 | — | flat |
| 167 | Syrian Arab Republic | -1 1000 t | 2023 | — | flat |
| 167 | Australia and New Zealand | -1 1000 t | 2023 | unchanged | volatile |
| 173 | Malaysia | -2 1000 t | 2023 | up 77.8% | volatile |
| 173 | Republic of Korea | -2 1000 t | 2023 | down 300.0% | flat |
| 175 | United Kingdom | -8 1000 t | 2023 | — | volatile |
| 175 | Turkey | -8 1000 t | 2023 | up 38.5% | volatile |
| 175 | Türkiye | -8 1000 t | 2023 | up 38.5% | volatile |
| 175 | United Kingdom of Great Britain and Northern Ireland | -8 1000 t | 2023 | — | volatile |
| 179 | Democratic Republic of the Congo | -12 1000 t | 2023 | down 233.3% | volatile |
| 180 | Burkina Faso | -17 1000 t | 2023 | — | volatile |
| 181 | Canada | -18 1000 t | 2023 | down 118.0% | volatile |
| 182 | United States | -19 1000 t | 2023 | down 2,000.0% | volatile |
| 183 | Nigeria | -40 1000 t | 2023 | down 671.4% | volatile |
| 184 | Kazakhstan | -255 1000 t | 2023 | down 631.2% | volatile |
| 185 | Russia | -611 1000 t | 2023 | down 1,200.0% | volatile |
| 185 | Russian Federation | -611 1000 t | 2023 | down 1,200.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Eastern Asia 401 1000 t
- Asia 173 1000 t
- Western Africa 53 1000 t
- Africa 51 1000 t
- European Union (27) 40 1000 t
- Southern Asia 38 1000 t
- Net Food Importing Developing Countries (NFIDCs) 30 1000 t
- Least Developed Countries (LDCs) 28 1000 t
- Low Income Food Deficit Countries (LIFDCs) 28 1000 t
- South America 22 1000 t
- Western Europe 17 1000 t
- Southern Europe 6 1000 t
- Eastern Africa 5 1000 t
- Northern Africa 3 1000 t
- Southern Africa 0 1000 t
- Central America 0 1000 t
- Oceania -1 1000 t
- South-Eastern Asia -2 1000 t
- Northern Europe -6 1000 t
- Western Asia -9 1000 t
- Middle Africa -10 1000 t
- Americas -15 1000 t
- United States of America -19 1000 t
- Northern America -37 1000 t
- Central Asia -254 1000 t
- Land Locked Developing Countries (LLDCs) -277 1000 t
- World -368 1000 t
- Europe -578 1000 t
- Eastern Europe -594 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.