Groundnut Oil — 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
Groundnut Oil — Stock Variation is currently reported for 66 countries. The highest value is 9 1000 t in Brazil; the lowest is -13 1000 t in United Arab Emirates.
The median across all reporting countries is 0 1000 t, and the mean is -0.1364 1000 t.
Over the past decade 11 countries rose and 24 fell. The largest increase was in Ghana (up 260.0%), and the largest decrease in China (down 114.3%).
Groundnut Oil — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Brazil | 9 1000 t | 2023 | — | volatile |
| 2 | Ghana | 8 1000 t | 2023 | up 260.0% | volatile |
| 3 | Guinea | 3 1000 t | 2023 | up 115.0% | volatile |
| 4 | Myanmar | 2 1000 t | 2023 | — | volatile |
| 5 | Netherlands (Kingdom of the) | 1 1000 t | 2023 | down 93.3% | volatile |
| 5 | Sierra Leone | 1 1000 t | 2023 | down 50.0% | volatile |
| 5 | Nigeria | 1 1000 t | 2023 | — | volatile |
| 5 | Nepal | 1 1000 t | 2023 | — | volatile |
| 5 | Greece | 1 1000 t | 2023 | — | volatile |
| 5 | Pakistan | 1 1000 t | 2023 | down 66.7% | volatile |
| 5 | Portugal | 1 1000 t | 2023 | — | volatile |
| 5 | Canada | 1 1000 t | 2023 | — | volatile |
| 13 | Angola | 0 1000 t | 2023 | — | volatile |
| 13 | China, Taiwan Province of | 0 1000 t | 2023 | — | volatile |
| 13 | United Republic of Tanzania | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Paraguay | 0 1000 t | 2023 | up 100.0% | volatile |
| 13 | Saudi Arabia | 0 1000 t | 2023 | — | volatile |
| 13 | Lao People's Democratic Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Côte d'Ivoire | 0 1000 t | 2023 | — | volatile |
| 13 | Thailand | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Vietnam | 0 1000 t | 2023 | — | volatile |
| 13 | South Africa | 0 1000 t | 2023 | down 100.0% | flat |
| 13 | Australia and New Zealand | 0 1000 t | 2023 | — | flat |
| 13 | Zambia | 0 1000 t | 2023 | down 100.0% | flat |
| 13 | Zimbabwe | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | volatile |
| 13 | China, Hong Kong SAR | 0 1000 t | 2023 | up 100.0% | flat |
| 13 | Viet Nam | 0 1000 t | 2023 | — | volatile |
| 13 | Democratic Republic of the Congo | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Germany | 0 1000 t | 2023 | up 100.0% | volatile |
| 13 | Argentina | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Guatemala | 0 1000 t | 2023 | — | volatile |
| 13 | Guinea-Bissau | 0 1000 t | 2023 | down 100.0% | flat |
| 13 | Gambia | 0 1000 t | 2023 | down 100.0% | flat |
| 13 | France | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Poland | 0 1000 t | 2023 | — | volatile |
| 13 | Spain | 0 1000 t | 2023 | down 100.0% | flat |
| 13 | Egypt | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Algeria | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Norway | 0 1000 t | 2023 | up 100.0% | volatile |
| 13 | Congo | 0 1000 t | 2023 | down 100.0% | flat |
| 13 | Cote d'Ivoire | 0 1000 t | 2023 | — | volatile |
| 13 | Australia | 0 1000 t | 2023 | — | flat |
| 13 | Switzerland | 0 1000 t | 2023 | — | flat |
| 13 | Bulgaria | 0 1000 t | 2023 | — | volatile |
| 13 | Bangladesh | 0 1000 t | 2023 | up 100.0% | volatile |
| 13 | Burkina Faso | 0 1000 t | 2023 | — | volatile |
| 13 | Belgium | 0 1000 t | 2023 | — | volatile |
| 13 | Indonesia | 0 1000 t | 2023 | down 100.0% | flat |
| 13 | India | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Iraq | 0 1000 t | 2023 | up 100.0% | volatile |
| 13 | Italy | 0 1000 t | 2023 | — | volatile |
| 13 | Laos | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 13 | Lebanon | 0 1000 t | 2023 | — | volatile |
| 13 | Morocco | 0 1000 t | 2023 | — | volatile |
| 13 | Mexico | 0 1000 t | 2023 | — | volatile |
| 13 | Mozambique | 0 1000 t | 2023 | up 100.0% | volatile |
| 13 | Malawi | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Niger | 0 1000 t | 2023 | up 100.0% | flat |
| 13 | Malaysia | 0 1000 t | 2023 | — | flat |
| 182 | Senegal | -4 1000 t | 2023 | up 60.0% | volatile |
| 183 | China, mainland | -7 1000 t | 2023 | down 114.0% | falling |
| 183 | China | -7 1000 t | 2023 | down 114.3% | falling |
| 185 | United States | -8 1000 t | 2023 | — | volatile |
| 186 | United Arab Emirates | -13 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.
- South America 9 1000 t
- Western Africa 8 1000 t
- Europe 3 1000 t
- European Union (27) 2 1000 t
- Southern Asia 2 1000 t
- South-Eastern Asia 2 1000 t
- Southern Europe 1 1000 t
- Americas 1 1000 t
- Western Europe 1 1000 t
- Southern Africa 0 1000 t
- Oceania 0 1000 t
- Northern Europe 0 1000 t
- Small island developing States (SIDS) 0 1000 t
- Central America 0 1000 t
- Eastern Europe 0 1000 t
- Eastern Africa 0 1000 t
- Northern America -7 1000 t
- Eastern Asia -7 1000 t
- United States of America -8 1000 t
- Land Locked Developing Countries (LLDCs) -10 1000 t
- Middle Africa -11 1000 t
- Western Asia -12 1000 t
- Asia -14 1000 t
- Northern Africa -16 1000 t
- Africa -19 1000 t
- Net Food Importing Developing Countries (NFIDCs) -24 1000 t
- Least Developed Countries (LDCs) -25 1000 t
- Low Income Food Deficit Countries (LIFDCs) -27 1000 t
- World -29 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.