Coffee and products — Export quantity 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 — Export quantity is currently reported for 173 countries. The highest value is 2,405 1000 t in Brazil; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 3 1000 t, and the mean is 77.92 1000 t.
Over the past decade 60 countries rose and 38 fell. The largest increase was in United Arab Emirates (up 4,055.6%), and the largest decrease in Albania (down 100.0%).
Coffee and products — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Brazil | 2,405 1000 t | 2023 | up 22.9% | rising |
| 2 | Viet Nam | 1,513 1000 t | 2023 | up 16.2% | rising |
| 3 | Indonesia | 912 1000 t | 2023 | up 30.1% | rising |
| 4 | Germany | 856 1000 t | 2023 | up 0.7% | rising |
| 5 | Colombia | 654 1000 t | 2023 | up 9.9% | rising |
| 6 | India | 476 1000 t | 2023 | up 22.4% | rising |
| 7 | Italy | 418 1000 t | 2023 | up 81.7% | rising |
| 8 | United Arab Emirates | 374 1000 t | 2023 | up 4,055.6% | volatile |
| 9 | Uganda | 369 1000 t | 2023 | up 60.4% | rising |
| 10 | Honduras | 334 1000 t | 2023 | up 31.0% | rising |
| 11 | Netherlands (Kingdom of the) | 312 1000 t | 2023 | up 109.4% | rising |
| 12 | United Kingdom of Great Britain and Northern Ireland | 293 1000 t | 2023 | down 13.6% | falling |
| 13 | Belgium | 286 1000 t | 2023 | up 27.1% | rising |
| 14 | Malaysia | 280 1000 t | 2023 | up 30.2% | rising |
| 15 | Poland | 244 1000 t | 2023 | up 50.6% | rising |
| 16 | Spain | 242 1000 t | 2023 | up 90.6% | rising |
| 17 | Ethiopia | 236 1000 t | 2023 | up 15.7% | rising |
| 18 | Russian Federation | 222 1000 t | 2023 | up 36.2% | volatile |
| 19 | Peru | 205 1000 t | 2023 | down 13.9% | falling |
| 20 | Guatemala | 184 1000 t | 2023 | down 15.6% | falling |
| 21 | Switzerland | 154 1000 t | 2023 | up 49.5% | rising |
| 22 | France | 152 1000 t | 2023 | up 120.3% | rising |
| 23 | Mexico | 149 1000 t | 2023 | down 2.6% | falling |
| 24 | Nicaragua | 144 1000 t | 2023 | up 45.5% | rising |
| 25 | Türkiye | 137 1000 t | 2023 | up 136.2% | volatile |
| 26 | Czechia | 104 1000 t | 2023 | up 70.5% | rising |
| 27 | Canada | 102 1000 t | 2023 | up 52.2% | rising |
| 28 | China | 94 1000 t | 2023 | down 47.8% | falling |
| 29 | United Republic of Tanzania | 85 1000 t | 2023 | up 34.9% | rising |
| 30 | Hungary | 78 1000 t | 2023 | up 5.4% | rising |
| 31 | Thailand | 72 1000 t | 2023 | down 52.0% | falling |
| 32 | Austria | 62 1000 t | 2023 | up 24.0% | rising |
| 33 | Costa Rica | 61 1000 t | 2023 | down 26.5% | falling |
| 34 | Lithuania | 60 1000 t | 2023 | up 57.9% | rising |
| 35 | Papua New Guinea | 54 1000 t | 2023 | up 14.9% | falling |
| 35 | Ukraine | 54 1000 t | 2023 | up 5.9% | volatile |
| 35 | Melanesia | 54 1000 t | 2023 | up 12.5% | falling |
| 38 | Australia and New Zealand | 53 1000 t | 2023 | up 65.6% | rising |
| 39 | Kenya | 52 1000 t | 2023 | up 6.1% | rising |
| 39 | Côte d'Ivoire | 52 1000 t | 2023 | down 45.3% | falling |
| 41 | Sweden | 50 1000 t | 2023 | down 13.8% | rising |
| 42 | Australia | 48 1000 t | 2023 | up 128.6% | rising |
| 42 | Egypt | 48 1000 t | 2023 | up 50.0% | volatile |
| 44 | Republic of Korea | 47 1000 t | 2023 | down 50.0% | flat |
| 45 | China, mainland | 42 1000 t | 2023 | down 67.9% | falling |
| 46 | China, Hong Kong SAR | 39 1000 t | 2023 | up 143.8% | volatile |
| 47 | Serbia | 38 1000 t | 2023 | up 1,166.7% | volatile |
| 48 | Ecuador | 37 1000 t | 2023 | down 57.0% | falling |
| 49 | Portugal | 35 1000 t | 2023 | up 94.4% | rising |
| 49 | Slovakia | 35 1000 t | 2023 | down 2.8% | rising |
| 49 | Lao People's Democratic Republic | 35 1000 t | 2023 | up 12.9% | rising |
| 52 | Kazakhstan | 34 1000 t | 2023 | up 325.0% | volatile |
| 53 | El Salvador | 30 1000 t | 2023 | down 55.2% | falling |
| 54 | Slovenia | 27 1000 t | 2023 | up 17.4% | rising |
| 55 | Denmark | 26 1000 t | 2023 | up 136.4% | rising |
| 56 | Bulgaria | 21 1000 t | 2023 | up 31.2% | rising |
| 56 | Croatia | 21 1000 t | 2023 | up 61.5% | volatile |
| 58 | Latvia | 19 1000 t | 2023 | up 58.3% | rising |
| 59 | Romania | 17 1000 t | 2023 | down 52.8% | falling |
| 60 | Jordan | 16 1000 t | 2023 | up 33.3% | rising |
| 60 | Rwanda | 16 1000 t | 2023 | down 5.9% | rising |
| 62 | China, Taiwan Province of | 14 1000 t | 2023 | down 56.2% | falling |
| 63 | Saudi Arabia | 13 1000 t | 2023 | up 333.3% | volatile |
| 64 | Finland | 12 1000 t | 2023 | unchanged | rising |
| 65 | Cameroon | 11 1000 t | 2023 | down 59.3% | falling |
| 65 | Greece | 11 1000 t | 2023 | down 62.1% | falling |
| 65 | Zambia | 11 1000 t | 2023 | up 1,000.0% | volatile |
| 68 | Luxembourg | 9 1000 t | 2023 | up 12.5% | rising |
| 68 | Caribbean | 9 1000 t | 2023 | up 28.6% | flat |
| 70 | Armenia | 8 1000 t | 2023 | up 300.0% | volatile |
| 71 | Burkina Faso | 7 1000 t | 2023 | up 600.0% | volatile |
| 71 | Lebanon | 7 1000 t | 2023 | up 133.3% | rising |
| 71 | Democratic Republic of the Congo | 7 1000 t | 2023 | up 75.0% | rising |
| 74 | Timor-Leste | 6 1000 t | 2023 | up 100.0% | rising |
| 75 | Guinea | 5 1000 t | 2023 | down 37.5% | volatile |
| 75 | Ireland | 5 1000 t | 2023 | up 25.0% | rising |
| 75 | Morocco | 5 1000 t | 2023 | down 37.5% | rising |
| 75 | New Zealand | 5 1000 t | 2023 | down 50.0% | volatile |
| 75 | Iran (Islamic Republic of) | 5 1000 t | 2023 | up 66.7% | volatile |
| 80 | Chile | 4 1000 t | 2023 | down 71.4% | falling |
| 80 | Dominican Republic | 4 1000 t | 2023 | unchanged | falling |
| 80 | Myanmar | 4 1000 t | 2023 | — | volatile |
| 80 | Philippines | 4 1000 t | 2023 | up 300.0% | volatile |
| 84 | Bahrain | 3 1000 t | 2023 | — | volatile |
| 84 | Congo | 3 1000 t | 2023 | — | volatile |
| 84 | Estonia | 3 1000 t | 2023 | unchanged | falling |
| 84 | Georgia | 3 1000 t | 2023 | up 200.0% | volatile |
| 84 | Ghana | 3 1000 t | 2023 | down 62.5% | rising |
| 84 | Trinidad and Tobago | 3 1000 t | 2023 | up 200.0% | volatile |
| 90 | Bosnia and Herzegovina | 2 1000 t | 2023 | unchanged | rising |
| 90 | Israel | 2 1000 t | 2023 | down 71.4% | volatile |
| 90 | Kuwait | 2 1000 t | 2023 | up 100.0% | volatile |
| 90 | Panama | 2 1000 t | 2023 | down 33.3% | falling |
| 90 | Sierra Leone | 2 1000 t | 2023 | down 33.3% | falling |
| 90 | Yemen | 2 1000 t | 2023 | down 33.3% | falling |
| 90 | Bolivia (Plurinational State of) | 2 1000 t | 2023 | down 50.0% | volatile |
| 97 | Angola | 1 1000 t | 2023 | — | volatile |
| 97 | Argentina | 1 1000 t | 2023 | down 66.7% | volatile |
| 97 | Belarus | 1 1000 t | 2023 | down 80.0% | volatile |
| 97 | Cuba | 1 1000 t | 2019 | — | rising |
| 97 | Djibouti | 1 1000 t | 2023 | down 66.7% | volatile |
| 97 | Gambia | 1 1000 t | 2023 | — | volatile |
| 97 | Jamaica | 1 1000 t | 2023 | unchanged | flat |
| 97 | Malawi | 1 1000 t | 2023 | unchanged | flat |
| 97 | Norway | 1 1000 t | 2023 | unchanged | flat |
| 97 | Uruguay | 1 1000 t | 2023 | — | volatile |
| 97 | Republic of Moldova | 1 1000 t | 2023 | — | volatile |
| 97 | Syrian Arab Republic | 1 1000 t | 2023 | unchanged | volatile |
| 97 | Venezuela (Bolivarian Republic of) | 1 1000 t | 2023 | — | volatile |
| 110 | Afghanistan | 0 1000 t | 2023 | — | volatile |
| 110 | Albania | 0 1000 t | 2023 | down 100.0% | volatile |
| 110 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 110 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 110 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 110 | Bahamas | 0 1000 t | 2023 | — | flat |
| 110 | Belize | 0 1000 t | 2023 | — | volatile |
| 110 | Barbados | 0 1000 t | 2023 | — | flat |
| 110 | Bhutan | 0 1000 t | 2023 | — | flat |
| 110 | Botswana | 0 1000 t | 2023 | — | flat |
| 110 | Comoros | 0 1000 t | 2023 | — | flat |
| 110 | Cyprus | 0 1000 t | 2023 | down 100.0% | volatile |
| 110 | Algeria | 0 1000 t | 2023 | — | volatile |
| 110 | Fiji | 0 1000 t | 2023 | — | volatile |
| 110 | Gabon | 0 1000 t | 2023 | — | flat |
| 110 | Guinea-Bissau | 0 1000 t | 2022 | — | flat |
| 110 | Grenada | 0 1000 t | 2023 | — | flat |
| 110 | Guyana | 0 1000 t | 2023 | down 100.0% | volatile |
| 110 | Haiti | 0 1000 t | 2023 | — | flat |
| 110 | Iraq | 0 1000 t | 2023 | — | flat |
| 110 | Iceland | 0 1000 t | 2023 | — | flat |
| 110 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 110 | Cambodia | 0 1000 t | 2023 | — | flat |
| 110 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | volatile |
| 110 | Liberia | 0 1000 t | 2023 | — | volatile |
| 110 | Libya | 0 1000 t | 2023 | — | flat |
| 110 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 110 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 110 | Lesotho | 0 1000 t | 2023 | — | volatile |
| 110 | Madagascar | 0 1000 t | 2023 | down 100.0% | volatile |
| 110 | North Macedonia | 0 1000 t | 2023 | — | volatile |
| 110 | Malta | 0 1000 t | 2023 | — | flat |
| 110 | Montenegro | 0 1000 t | 2023 | — | volatile |
| 110 | Mongolia | 0 1000 t | 2022 | — | flat |
| 110 | Mozambique | 0 1000 t | 2023 | — | flat |
| 110 | Mauritius | 0 1000 t | 2023 | — | flat |
| 110 | Namibia | 0 1000 t | 2023 | down 100.0% | volatile |
| 110 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 110 | Niger | 0 1000 t | 2022 | — | flat |
| 110 | Nigeria | 0 1000 t | 2023 | — | volatile |
| 110 | Nepal | 0 1000 t | 2023 | — | flat |
| 110 | Oman | 0 1000 t | 2023 | — | volatile |
| 110 | Pakistan | 0 1000 t | 2023 | — | volatile |
| 110 | Paraguay | 0 1000 t | 2023 | — | flat |
| 110 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 110 | Senegal | 0 1000 t | 2023 | — | volatile |
| 110 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 110 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 110 | Suriname | 0 1000 t | 2023 | — | volatile |
| 110 | Eswatini | 0 1000 t | 2023 | — | flat |
| 110 | Seychelles | 0 1000 t | 2019 | — | flat |
| 110 | Tajikistan | 0 1000 t | 2019 | — | flat |
| 110 | Turkmenistan | 0 1000 t | 2022 | — | flat |
| 110 | Tunisia | 0 1000 t | 2023 | down 100.0% | volatile |
| 110 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 110 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 110 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 110 | Samoa | 0 1000 t | 2023 | — | flat |
| 110 | Zimbabwe | 0 1000 t | 2023 | — | volatile |
| 110 | Micronesia | 0 1000 t | 2023 | — | flat |
| 110 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 110 | Polynesia | 0 1000 t | 2023 | — | flat |
| 110 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | flat |
| 110 | China, Macao SAR | 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 14,066 1000 t
- Americas 4,985 1000 t
- Asia 4,156 1000 t
- Europe 3,871 1000 t
- South America 3,310 1000 t
- European Union (27) 3,105 1000 t
- South-eastern Asia 2,826 1000 t
- Western Europe 1,831 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,559 1000 t
- Low Income Food Deficit Countries (LIFDCs) 961 1000 t
- Africa 946 1000 t
- Central America 905 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.