Coffee and products — 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
Coffee and products — Losses is currently reported for 81 countries. The highest value is 184 1000 t in Brazil; the lowest is 0 1000 t in China, Taiwan Province of.
The median across all reporting countries is 0 1000 t, and the mean is 6.6 1000 t.
Over the past decade 16 countries rose and 14 fell. The largest increase was in Guinea (up 900.0%), and the largest decrease in Haiti (down 100.0%).
Coffee and products — Losses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Brazil | 184 1000 t | 2023 | up 15.7% | rising |
| 2 | Viet Nam | 105 1000 t | 2023 | up 47.9% | rising |
| 3 | Indonesia | 42 1000 t | 2023 | up 16.7% | rising |
| 4 | Spain | 31 1000 t | 2023 | up 19.2% | rising |
| 5 | Uganda | 18 1000 t | 2023 | up 50.0% | rising |
| 6 | Peru | 15 1000 t | 2023 | up 50.0% | rising |
| 7 | Ethiopia | 14 1000 t | 2023 | down 33.3% | falling |
| 8 | Guinea | 10 1000 t | 2023 | up 900.0% | volatile |
| 8 | Mexico | 10 1000 t | 2023 | down 16.7% | falling |
| 8 | Lao People's Democratic Republic | 10 1000 t | 2023 | up 100.0% | rising |
| 11 | China | 9 1000 t | 2023 | up 50.0% | rising |
| 11 | China, mainland | 9 1000 t | 2023 | up 50.0% | rising |
| 13 | Colombia | 8 1000 t | 2023 | up 14.3% | rising |
| 13 | Honduras | 8 1000 t | 2023 | down 46.7% | falling |
| 13 | India | 8 1000 t | 2023 | unchanged | rising |
| 13 | Nicaragua | 8 1000 t | 2023 | up 60.0% | rising |
| 17 | Costa Rica | 4 1000 t | 2023 | unchanged | falling |
| 18 | Kenya | 3 1000 t | 2023 | up 50.0% | rising |
| 18 | Madagascar | 3 1000 t | 2023 | unchanged | falling |
| 18 | Philippines | 3 1000 t | 2023 | down 25.0% | falling |
| 18 | Papua New Guinea | 3 1000 t | 2023 | unchanged | falling |
| 18 | Melanesia | 3 1000 t | 2023 | unchanged | falling |
| 18 | Democratic Republic of the Congo | 3 1000 t | 2023 | up 50.0% | rising |
| 18 | Côte d'Ivoire | 3 1000 t | 2023 | down 50.0% | falling |
| 18 | United Republic of Tanzania | 3 1000 t | 2023 | down 25.0% | rising |
| 26 | United Arab Emirates | 2 1000 t | 2023 | up 100.0% | volatile |
| 26 | Yemen | 2 1000 t | 2023 | up 100.0% | rising |
| 26 | Caribbean | 2 1000 t | 2023 | down 60.0% | falling |
| 29 | Angola | 1 1000 t | 2023 | unchanged | flat |
| 29 | Cameroon | 1 1000 t | 2023 | down 50.0% | falling |
| 29 | Dominican Republic | 1 1000 t | 2023 | unchanged | flat |
| 29 | Ecuador | 1 1000 t | 2023 | — | volatile |
| 29 | Guatemala | 1 1000 t | 2023 | unchanged | flat |
| 29 | Malawi | 1 1000 t | 2023 | — | volatile |
| 29 | Panama | 1 1000 t | 2023 | — | volatile |
| 29 | Rwanda | 1 1000 t | 2023 | unchanged | rising |
| 29 | El Salvador | 1 1000 t | 2023 | unchanged | falling |
| 29 | Thailand | 1 1000 t | 2023 | down 50.0% | falling |
| 29 | Bolivia (Plurinational State of) | 1 1000 t | 2023 | down 50.0% | falling |
| 29 | Venezuela (Bolivarian Republic of) | 1 1000 t | 2023 | down 66.7% | falling |
| 41 | Bahrain | 0 1000 t | 2023 | — | flat |
| 41 | Belize | 0 1000 t | 2023 | — | flat |
| 41 | Bhutan | 0 1000 t | 2023 | — | flat |
| 41 | Congo | 0 1000 t | 2023 | — | flat |
| 41 | Comoros | 0 1000 t | 2023 | — | flat |
| 41 | Cuba | 0 1000 t | 2019 | — | volatile |
| 41 | Fiji | 0 1000 t | 2023 | — | flat |
| 41 | Gabon | 0 1000 t | 2023 | — | flat |
| 41 | Ghana | 0 1000 t | 2023 | — | flat |
| 41 | Guyana | 0 1000 t | 2023 | — | flat |
| 41 | Haiti | 0 1000 t | 2023 | down 100.0% | volatile |
| 41 | Jamaica | 0 1000 t | 2023 | — | flat |
| 41 | Cambodia | 0 1000 t | 2023 | — | flat |
| 41 | Liberia | 0 1000 t | 2023 | — | flat |
| 41 | Saint Lucia | 0 1000 t | 2019 | — | flat |
| 41 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 41 | Myanmar | 0 1000 t | 2023 | — | flat |
| 41 | Mozambique | 0 1000 t | 2023 | — | flat |
| 41 | Mauritius | 0 1000 t | 2019 | — | flat |
| 41 | Malaysia | 0 1000 t | 2023 | down 100.0% | volatile |
| 41 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 41 | Nigeria | 0 1000 t | 2023 | — | flat |
| 41 | Nepal | 0 1000 t | 2023 | — | flat |
| 41 | Paraguay | 0 1000 t | 2023 | — | flat |
| 41 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 41 | Qatar | 0 1000 t | 2023 | — | flat |
| 41 | Saudi Arabia | 0 1000 t | 2019 | — | flat |
| 41 | Sierra Leone | 0 1000 t | 2023 | down 100.0% | volatile |
| 41 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 41 | Suriname | 0 1000 t | 2023 | — | flat |
| 41 | Tonga | 0 1000 t | 2023 | — | flat |
| 41 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 41 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 41 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 41 | Samoa | 0 1000 t | 2023 | — | flat |
| 41 | Zambia | 0 1000 t | 2023 | — | flat |
| 41 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 41 | Timor-Leste | 0 1000 t | 2023 | — | volatile |
| 41 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 41 | Polynesia | 0 1000 t | 2023 | — | flat |
| 41 | China, Taiwan Province of | 0 1000 t | 2019 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 544 1000 t
- Americas 245 1000 t
- South America 209 1000 t
- Asia 184 1000 t
- South-eastern Asia 163 1000 t
- Net Food Importing Developing Countries (NFIDCs) 120 1000 t
- Least Developed Countries (LDCs) 88 1000 t
- Low Income Food Deficit Countries (LIFDCs) 86 1000 t
- Africa 82 1000 t
- Land Locked Developing Countries (LLDCs) 64 1000 t
- Eastern Africa 44 1000 t
- Central America 34 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.