Stimulants — Losses 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 — Losses is currently reported for 96 countries. The highest value is 237 1000 t in Brazil; the lowest is 0 1000 t in Russian Federation.
The median across all reporting countries is 1 1000 t, and the mean is 15.93 1000 t.
Over the past decade 32 countries rose and 14 fell. The largest increase was in Guinea (up 1,000.0%), and the largest decrease in Cuba (down 100.0%).
Stimulants — Losses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Brazil | 237 1000 t | 2023 | down 4.8% | flat |
| 2 | China | 199 1000 t | 2023 | up 80.9% | rising |
| 3 | China, mainland | 198 1000 t | 2023 | up 81.7% | rising |
| 4 | Viet Nam | 140 1000 t | 2023 | up 68.7% | rising |
| 5 | Indonesia | 110 1000 t | 2023 | up 37.5% | rising |
| 6 | Côte d'Ivoire | 86 1000 t | 2023 | up 59.3% | rising |
| 7 | Kenya | 73 1000 t | 2023 | up 192.0% | volatile |
| 8 | India | 69 1000 t | 2023 | up 245.0% | volatile |
| 9 | Uganda | 41 1000 t | 2023 | up 156.2% | rising |
| 10 | Spain | 31 1000 t | 2023 | up 19.2% | rising |
| 11 | Peru | 26 1000 t | 2023 | up 73.3% | rising |
| 12 | Ecuador | 22 1000 t | 2023 | up 214.3% | rising |
| 13 | Argentina | 20 1000 t | 2023 | down 23.1% | volatile |
| 14 | Bangladesh | 19 1000 t | 2023 | up 375.0% | volatile |
| 15 | Cameroon | 17 1000 t | 2023 | up 6.2% | rising |
| 15 | Ethiopia | 17 1000 t | 2023 | down 22.7% | falling |
| 15 | Türkiye | 17 1000 t | 2023 | up 183.3% | volatile |
| 18 | Nigeria | 16 1000 t | 2023 | down 11.1% | falling |
| 19 | Sri Lanka | 15 1000 t | 2023 | down 21.1% | falling |
| 20 | Mexico | 12 1000 t | 2023 | down 7.7% | falling |
| 21 | Colombia | 11 1000 t | 2023 | up 22.2% | rising |
| 21 | Guinea | 11 1000 t | 2023 | up 1,000.0% | volatile |
| 21 | Malawi | 11 1000 t | 2023 | up 266.7% | volatile |
| 21 | Lao People's Democratic Republic | 11 1000 t | 2023 | up 120.0% | rising |
| 25 | Honduras | 8 1000 t | 2023 | down 46.7% | falling |
| 25 | Nicaragua | 8 1000 t | 2023 | up 60.0% | rising |
| 27 | Myanmar | 7 1000 t | 2023 | up 16.7% | rising |
| 27 | Papua New Guinea | 7 1000 t | 2023 | up 40.0% | rising |
| 27 | Thailand | 7 1000 t | 2023 | up 16.7% | rising |
| 27 | Melanesia | 7 1000 t | 2023 | up 40.0% | flat |
| 27 | United Republic of Tanzania | 7 1000 t | 2023 | up 16.7% | rising |
| 32 | Guatemala | 6 1000 t | 2023 | up 20.0% | rising |
| 32 | Rwanda | 6 1000 t | 2023 | up 200.0% | rising |
| 32 | Caribbean | 6 1000 t | 2023 | unchanged | rising |
| 35 | United Arab Emirates | 5 1000 t | 2023 | unchanged | rising |
| 35 | Pakistan | 5 1000 t | 2023 | up 150.0% | rising |
| 37 | Costa Rica | 4 1000 t | 2023 | unchanged | falling |
| 37 | Dominican Republic | 4 1000 t | 2023 | up 300.0% | volatile |
| 37 | Madagascar | 4 1000 t | 2023 | up 33.3% | rising |
| 37 | Philippines | 4 1000 t | 2023 | unchanged | falling |
| 37 | Democratic Republic of the Congo | 4 1000 t | 2023 | up 100.0% | rising |
| 37 | Iran (Islamic Republic of) | 4 1000 t | 2023 | down 20.0% | falling |
| 43 | Nepal | 3 1000 t | 2023 | up 200.0% | volatile |
| 44 | Yemen | 2 1000 t | 2023 | up 100.0% | rising |
| 44 | Bolivia (Plurinational State of) | 2 1000 t | 2023 | unchanged | rising |
| 46 | Angola | 1 1000 t | 2023 | unchanged | flat |
| 46 | Congo | 1 1000 t | 2023 | — | volatile |
| 46 | Liberia | 1 1000 t | 2023 | — | volatile |
| 46 | Malaysia | 1 1000 t | 2023 | unchanged | falling |
| 46 | Panama | 1 1000 t | 2023 | — | volatile |
| 46 | Sierra Leone | 1 1000 t | 2023 | down 66.7% | falling |
| 46 | El Salvador | 1 1000 t | 2023 | unchanged | falling |
| 46 | Zambia | 1 1000 t | 2023 | — | volatile |
| 46 | Venezuela (Bolivarian Republic of) | 1 1000 t | 2023 | down 66.7% | falling |
| 46 | China, Taiwan Province of | 1 1000 t | 2023 | unchanged | flat |
| 56 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 56 | Bahrain | 0 1000 t | 2023 | — | flat |
| 56 | Belize | 0 1000 t | 2023 | — | flat |
| 56 | Bhutan | 0 1000 t | 2023 | — | flat |
| 56 | Comoros | 0 1000 t | 2023 | — | flat |
| 56 | Cuba | 0 1000 t | 2019 | down 100.0% | volatile |
| 56 | Fiji | 0 1000 t | 2023 | — | flat |
| 56 | Gabon | 0 1000 t | 2023 | — | flat |
| 56 | Georgia | 0 1000 t | 2023 | — | flat |
| 56 | Ghana | 0 1000 t | 2023 | — | flat |
| 56 | Grenada | 0 1000 t | 2023 | — | flat |
| 56 | Guyana | 0 1000 t | 2023 | — | flat |
| 56 | Haiti | 0 1000 t | 2023 | down 100.0% | volatile |
| 56 | Jamaica | 0 1000 t | 2023 | — | flat |
| 56 | Cambodia | 0 1000 t | 2023 | — | flat |
| 56 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 56 | Montenegro | 0 1000 t | 2023 | — | flat |
| 56 | Mozambique | 0 1000 t | 2023 | down 100.0% | volatile |
| 56 | Mauritius | 0 1000 t | 2023 | — | flat |
| 56 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 56 | Portugal | 0 1000 t | 2023 | — | flat |
| 56 | Paraguay | 0 1000 t | 2023 | down 100.0% | volatile |
| 56 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 56 | Qatar | 0 1000 t | 2023 | — | flat |
| 56 | Saudi Arabia | 0 1000 t | 2019 | — | flat |
| 56 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 56 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 56 | Suriname | 0 1000 t | 2023 | — | flat |
| 56 | Seychelles | 0 1000 t | 2023 | — | flat |
| 56 | Tonga | 0 1000 t | 2023 | — | flat |
| 56 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 56 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 56 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 56 | Samoa | 0 1000 t | 2023 | — | flat |
| 56 | Zimbabwe | 0 1000 t | 2023 | — | volatile |
| 56 | Timor-Leste | 0 1000 t | 2023 | — | volatile |
| 56 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 56 | Polynesia | 0 1000 t | 2023 | — | flat |
| 56 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 56 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 56 | Russian Federation | 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 1,351 1000 t
- Asia 626 1000 t
- Net Food Importing Developing Countries (NFIDCs) 393 1000 t
- Americas 365 1000 t
- Africa 323 1000 t
- South America 318 1000 t
- South-eastern Asia 281 1000 t
- Low Income Food Deficit Countries (LIFDCs) 233 1000 t
- Eastern Asia 205 1000 t
- Least Developed Countries (LDCs) 174 1000 t
- Eastern Africa 165 1000 t
- Western Africa 117 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.