Stimulants — Processing 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
Stimulants — Processing is currently reported for 94 countries. The highest value is 27 1000 t in Côte d'Ivoire; the lowest is 0 1000 t in China, mainland.
The median across all reporting countries is 0 1000 t, and the mean is 1.21 1000 t.
Over the past decade 9 countries rose and 2 fell. The largest increase was in Côte d'Ivoire (up 285.7%), and the largest decrease in Indonesia (down 66.7%).
Stimulants — Processing: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Côte d'Ivoire | 27 1000 t | 2023 | up 285.7% | volatile |
| 2 | Ethiopia | 14 1000 t | 2023 | — | volatile |
| 3 | Netherlands (Kingdom of the) | 11 1000 t | 2023 | up 175.0% | rising |
| 4 | China | 7 1000 t | 2023 | up 133.3% | volatile |
| 4 | Viet Nam | 7 1000 t | 2023 | — | volatile |
| 4 | China, Taiwan Province of | 7 1000 t | 2023 | up 133.3% | volatile |
| 7 | Republic of Korea | 5 1000 t | 2023 | up 25.0% | rising |
| 8 | Ireland | 4 1000 t | 2023 | up 100.0% | rising |
| 8 | Lebanon | 4 1000 t | 2023 | down 20.0% | flat |
| 10 | Rwanda | 3 1000 t | 2023 | — | volatile |
| 11 | Australia | 2 1000 t | 2023 | unchanged | rising |
| 11 | Czechia | 2 1000 t | 2023 | unchanged | rising |
| 11 | Honduras | 2 1000 t | 2023 | — | volatile |
| 11 | Indonesia | 2 1000 t | 2023 | down 66.7% | volatile |
| 11 | India | 2 1000 t | 2023 | up 100.0% | rising |
| 11 | Israel | 2 1000 t | 2023 | up 100.0% | rising |
| 11 | Italy | 2 1000 t | 2023 | up 100.0% | rising |
| 11 | Slovenia | 2 1000 t | 2023 | unchanged | flat |
| 11 | Australia and New Zealand | 2 1000 t | 2023 | unchanged | rising |
| 20 | Belgium | 1 1000 t | 2023 | unchanged | rising |
| 20 | Spain | 1 1000 t | 2023 | unchanged | rising |
| 20 | Nigeria | 1 1000 t | 2023 | unchanged | falling |
| 20 | Slovakia | 1 1000 t | 2023 | unchanged | falling |
| 20 | Thailand | 1 1000 t | 2023 | unchanged | flat |
| 20 | Iran (Islamic Republic of) | 1 1000 t | 2023 | — | volatile |
| 20 | United Kingdom of Great Britain and Northern Ireland | 1 1000 t | 2023 | unchanged | rising |
| 27 | Angola | 0 1000 t | 2023 | — | flat |
| 27 | Argentina | 0 1000 t | 2023 | — | flat |
| 27 | Austria | 0 1000 t | 2023 | — | flat |
| 27 | Bulgaria | 0 1000 t | 2023 | — | volatile |
| 27 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 27 | Belize | 0 1000 t | 2023 | — | flat |
| 27 | Brazil | 0 1000 t | 2023 | — | flat |
| 27 | Canada | 0 1000 t | 2023 | — | flat |
| 27 | Switzerland | 0 1000 t | 2023 | — | flat |
| 27 | Cameroon | 0 1000 t | 2023 | — | flat |
| 27 | Congo | 0 1000 t | 2023 | — | flat |
| 27 | Colombia | 0 1000 t | 2023 | — | volatile |
| 27 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 27 | Cuba | 0 1000 t | 2019 | — | flat |
| 27 | Cyprus | 0 1000 t | 2023 | — | flat |
| 27 | Germany | 0 1000 t | 2023 | — | flat |
| 27 | Denmark | 0 1000 t | 2023 | — | volatile |
| 27 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 27 | Algeria | 0 1000 t | 2023 | — | flat |
| 27 | Egypt | 0 1000 t | 2023 | — | flat |
| 27 | Estonia | 0 1000 t | 2023 | — | flat |
| 27 | Finland | 0 1000 t | 2023 | — | flat |
| 27 | France | 0 1000 t | 2023 | — | flat |
| 27 | Ghana | 0 1000 t | 2023 | — | flat |
| 27 | Greece | 0 1000 t | 2023 | — | flat |
| 27 | Guatemala | 0 1000 t | 2023 | — | flat |
| 27 | Guyana | 0 1000 t | 2023 | — | flat |
| 27 | Croatia | 0 1000 t | 2023 | — | flat |
| 27 | Haiti | 0 1000 t | 2023 | — | flat |
| 27 | Hungary | 0 1000 t | 2023 | — | flat |
| 27 | Iceland | 0 1000 t | 2023 | — | flat |
| 27 | Jamaica | 0 1000 t | 2023 | — | flat |
| 27 | Kenya | 0 1000 t | 2023 | — | flat |
| 27 | Libya | 0 1000 t | 2023 | — | flat |
| 27 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 27 | Lithuania | 0 1000 t | 2023 | — | flat |
| 27 | Latvia | 0 1000 t | 2023 | — | flat |
| 27 | Morocco | 0 1000 t | 2023 | — | flat |
| 27 | Mexico | 0 1000 t | 2023 | — | flat |
| 27 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 27 | Malaysia | 0 1000 t | 2023 | — | flat |
| 27 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 27 | Norway | 0 1000 t | 2023 | — | flat |
| 27 | New Zealand | 0 1000 t | 2023 | — | flat |
| 27 | Panama | 0 1000 t | 2023 | — | flat |
| 27 | Peru | 0 1000 t | 2023 | — | flat |
| 27 | Philippines | 0 1000 t | 2023 | — | flat |
| 27 | Poland | 0 1000 t | 2023 | — | flat |
| 27 | Portugal | 0 1000 t | 2023 | — | flat |
| 27 | Romania | 0 1000 t | 2023 | — | flat |
| 27 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 27 | El Salvador | 0 1000 t | 2023 | — | flat |
| 27 | Serbia | 0 1000 t | 2023 | — | flat |
| 27 | Suriname | 0 1000 t | 2023 | — | flat |
| 27 | Sweden | 0 1000 t | 2023 | — | flat |
| 27 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 27 | Tunisia | 0 1000 t | 2023 | — | flat |
| 27 | Ukraine | 0 1000 t | 2023 | — | flat |
| 27 | Uruguay | 0 1000 t | 2023 | — | flat |
| 27 | Samoa | 0 1000 t | 2023 | — | flat |
| 27 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 27 | Polynesia | 0 1000 t | 2023 | — | flat |
| 27 | Caribbean | 0 1000 t | 2023 | — | flat |
| 27 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 27 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 27 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 27 | Türkiye | 0 1000 t | 2023 | — | flat |
| 27 | China, mainland | 0 1000 t | 2023 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 120 1000 t
- Africa 53 1000 t
- Net Food Importing Developing Countries (NFIDCs) 50 1000 t
- Asia 34 1000 t
- Western Africa 30 1000 t
- Europe 26 1000 t
- European Union (27) 25 1000 t
- Least Developed Countries (LDCs) 21 1000 t
- Low Income Food Deficit Countries (LIFDCs) 19 1000 t
- Eastern Africa 17 1000 t
- Land Locked Developing Countries (LLDCs) 17 1000 t
- Eastern Asia 12 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.