Coffee and products — Residuals 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 — Residuals is currently reported for 50 countries. The highest value is 0 1000 t in El Salvador; the lowest is -132 1000 t in Indonesia.
The median across all reporting countries is 0 1000 t, and the mean is -8.02 1000 t.
Over the past decade 13 countries rose and 7 fell. The largest increase was in El Salvador (up 100.0%), and the largest decrease in India (down 5,700.0%).
Coffee and products — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | El Salvador | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Laos | 0 1000 t | 2023 | — | volatile |
| 1 | Lesotho | 0 1000 t | 2023 | — | volatile |
| 1 | Latvia | 0 1000 t | 2023 | — | volatile |
| 1 | Mexico | 0 1000 t | 2023 | — | volatile |
| 1 | Malawi | 0 1000 t | 2023 | — | volatile |
| 1 | Oman | 0 1000 t | 2023 | — | volatile |
| 1 | Panama | 0 1000 t | 2023 | — | volatile |
| 1 | Papua New Guinea | 0 1000 t | 2023 | — | volatile |
| 1 | Poland | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Sierra Leone | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Democratic Republic of the Congo | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Thailand | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Uganda | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Ukraine | 0 1000 t | 2023 | — | volatile |
| 1 | Vietnam | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Viet Nam | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | volatile |
| 1 | China, Hong Kong SAR | 0 1000 t | 2023 | — | volatile |
| 1 | China, mainland | 0 1000 t | 2023 | — | volatile |
| 1 | Belize | 0 1000 t | 2023 | — | volatile |
| 1 | China | 0 1000 t | 2023 | — | volatile |
| 1 | Cote d'Ivoire | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 1 | Congo | 0 1000 t | 2023 | — | volatile |
| 1 | Colombia | 0 1000 t | 2023 | — | volatile |
| 1 | Costa Rica | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | China, Taiwan Province of | 0 1000 t | 2023 | — | volatile |
| 1 | Djibouti | 0 1000 t | 2023 | — | volatile |
| 1 | Melanesia | 0 1000 t | 2023 | — | volatile |
| 1 | Spain | 0 1000 t | 2023 | — | volatile |
| 1 | Guinea | 0 1000 t | 2023 | — | volatile |
| 1 | Greece | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Croatia | 0 1000 t | 2023 | — | volatile |
| 1 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 1 | Côte d'Ivoire | 0 1000 t | 2023 | up 100.0% | volatile |
| 181 | Nicaragua | -1 1000 t | 2023 | up 94.4% | volatile |
| 181 | Ghana | -1 1000 t | 2023 | up 80.0% | volatile |
| 183 | Zambia | -2 1000 t | 2023 | — | volatile |
| 183 | Kenya | -2 1000 t | 2023 | up 81.8% | volatile |
| 185 | Burkina Faso | -3 1000 t | 2023 | — | volatile |
| 186 | Egypt | -4 1000 t | 2023 | — | volatile |
| 187 | Czechia | -13 1000 t | 2023 | — | volatile |
| 188 | Ecuador | -17 1000 t | 2023 | up 76.4% | volatile |
| 189 | United Republic of Tanzania | -23 1000 t | 2023 | — | volatile |
| 190 | Hungary | -32 1000 t | 2023 | down 39.1% | volatile |
| 191 | United Arab Emirates | -33 1000 t | 2023 | — | volatile |
| 192 | India | -58 1000 t | 2023 | down 5,700.0% | volatile |
| 193 | Malaysia | -80 1000 t | 2023 | down 77.8% | falling |
| 194 | Indonesia | -132 1000 t | 2023 | down 473.9% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Northern Europe 0 1000 t
- Southern Africa 0 1000 t
- Oceania 0 1000 t
- Small island developing States (SIDS) 0 1000 t
- Eastern Asia 0 1000 t
- Middle Africa 0 1000 t
- Southern Europe 0 1000 t
- Central America -1 1000 t
- Western Africa -4 1000 t
- Northern Africa -4 1000 t
- Land Locked Developing Countries (LLDCs) -7 1000 t
- South America -17 1000 t
- Americas -18 1000 t
- Eastern Africa -28 1000 t
- Least Developed Countries (LDCs) -30 1000 t
- Low Income Food Deficit Countries (LIFDCs) -30 1000 t
- Western Asia -34 1000 t
- Net Food Importing Developing Countries (NFIDCs) -35 1000 t
- Africa -36 1000 t
- Europe -45 1000 t
- European Union (27) -45 1000 t
- Eastern Europe -45 1000 t
- Southern Asia -58 1000 t
- South-Eastern Asia -212 1000 t
- Asia -304 1000 t
- World -403 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.