Coffee and products — Import 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...
Countries reporting
184
Highest
2,082 1000 t
United States
Lowest
0 1000 t
Micronesia (Federated States of)
Median
21.5 1000 t
Years covered
14
2010–2023
Data points
3,046
What the numbers show
Coffee and products — Import quantity is currently reported for 184 countries. The highest value is 2,082 1000 t in United States; the lowest is 0 1000 t in Micronesia (Federated States of).
The median across all reporting countries is 21.5 1000 t, and the mean is 97.1 1000 t.
Over the past decade 114 countries rose and 29 fell. The largest increase was in Fiji (up 1,300.0%), and the largest decrease in Venezuela (Bolivarian Republic of) (down 92.6%).
Coffee and products — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | United States | 2,082 1000 t | 2023 | up 7.3% | rising |
| 2 | Germany | 1,305 1000 t | 2023 | down 3.2% | rising |
| 3 | Italy | 783 1000 t | 2023 | up 27.1% | rising |
| 4 | China | 745 1000 t | 2023 | up 223.9% | rising |
| 5 | United Kingdom | 675 1000 t | 2023 | up 27.6% | rising |
| 5 | United Kingdom of Great Britain and Northern Ireland | 675 1000 t | 2023 | up 27.6% | rising |
| 7 | France | 498 1000 t | 2023 | up 16.4% | rising |
| 8 | Philippines | 466 1000 t | 2023 | up 119.8% | rising |
| 9 | Spain | 448 1000 t | 2023 | up 34.5% | rising |
| 10 | China, Hong Kong SAR | 420 1000 t | 2023 | up 311.8% | volatile |
| 11 | Russia | 409 1000 t | 2023 | down 44.0% | falling |
| 11 | Russian Federation | 409 1000 t | 2023 | down 44.0% | falling |
| 13 | Canada | 403 1000 t | 2023 | up 21.4% | rising |
| 14 | Netherlands (Kingdom of the) | 395 1000 t | 2023 | up 138.0% | rising |
| 15 | Belgium | 369 1000 t | 2023 | up 10.8% | rising |
| 16 | United Arab Emirates | 355 1000 t | 2023 | up 262.2% | rising |
| 17 | Poland | 327 1000 t | 2023 | up 48.6% | rising |
| 18 | Turkey | 299 1000 t | 2023 | up 169.4% | rising |
| 18 | Türkiye | 299 1000 t | 2023 | up 169.4% | rising |
| 20 | Australia and New Zealand | 275 1000 t | 2023 | up 44.0% | rising |
| 21 | China, mainland | 243 1000 t | 2023 | up 211.5% | rising |
| 22 | Switzerland | 216 1000 t | 2023 | up 31.7% | rising |
| 23 | Australia | 203 1000 t | 2023 | up 39.0% | rising |
| 23 | Saudi Arabia | 203 1000 t | 2023 | up 11.5% | rising |
| 25 | Malaysia | 194 1000 t | 2023 | up 23.6% | rising |
| 26 | Romania | 187 1000 t | 2023 | up 96.8% | rising |
| 27 | Republic of Korea | 184 1000 t | 2023 | up 23.5% | rising |
| 28 | Sweden | 165 1000 t | 2023 | unchanged | rising |
| 29 | Ukraine | 160 1000 t | 2023 | down 32.5% | falling |
| 30 | Greece | 122 1000 t | 2023 | down 35.4% | falling |
| 31 | Serbia | 121 1000 t | 2023 | up 44.0% | rising |
| 32 | Austria | 119 1000 t | 2023 | down 30.4% | falling |
| 32 | Kazakhstan | 119 1000 t | 2023 | up 75.0% | rising |
| 34 | Czechia | 118 1000 t | 2023 | up 25.5% | rising |
| 35 | Argentina | 116 1000 t | 2023 | up 31.8% | rising |
| 36 | Indonesia | 109 1000 t | 2023 | up 94.6% | rising |
| 36 | Thailand | 109 1000 t | 2023 | up 51.4% | rising |
| 38 | Egypt | 108 1000 t | 2023 | up 54.3% | rising |
| 39 | Jordan | 103 1000 t | 2023 | up 49.3% | rising |
| 39 | Lebanon | 103 1000 t | 2023 | up 13.2% | rising |
| 41 | Colombia | 102 1000 t | 2023 | up 240.0% | volatile |
| 42 | Lithuania | 100 1000 t | 2023 | up 26.6% | rising |
| 43 | India | 96 1000 t | 2023 | up 47.7% | rising |
| 44 | Denmark | 95 1000 t | 2023 | up 9.2% | rising |
| 44 | Portugal | 95 1000 t | 2023 | up 28.4% | rising |
| 44 | Slovakia | 95 1000 t | 2023 | down 2.1% | rising |
| 47 | Ireland | 94 1000 t | 2023 | up 176.5% | rising |
| 48 | Bulgaria | 93 1000 t | 2023 | down 14.7% | rising |
| 49 | South Africa | 82 1000 t | 2023 | up 28.1% | rising |
| 50 | Melanesia | 81 1000 t | 2023 | up 523.1% | volatile |
| 51 | Finland | 73 1000 t | 2023 | down 18.9% | falling |
| 52 | Mexico | 71 1000 t | 2023 | up 255.0% | rising |
| 52 | New Zealand | 71 1000 t | 2023 | up 57.8% | rising |
| 54 | China, Taiwan Province of | 68 1000 t | 2023 | up 54.5% | rising |
| 55 | Algeria | 66 1000 t | 2023 | down 51.1% | falling |
| 55 | Hungary | 66 1000 t | 2023 | up 24.5% | rising |
| 57 | Iran (Islamic Republic of) | 64 1000 t | 2023 | up 30.6% | rising |
| 58 | Norway | 60 1000 t | 2023 | unchanged | flat |
| 59 | Croatia | 58 1000 t | 2023 | up 20.8% | rising |
| 60 | Vietnam | 56 1000 t | 2023 | up 366.7% | volatile |
| 60 | Viet Nam | 56 1000 t | 2023 | up 366.7% | volatile |
| 62 | Morocco | 55 1000 t | 2023 | up 14.6% | rising |
| 62 | Slovenia | 55 1000 t | 2023 | up 31.0% | rising |
| 64 | Georgia | 53 1000 t | 2023 | up 51.4% | rising |
| 64 | Papua New Guinea | 53 1000 t | 2023 | up 783.3% | volatile |
| 66 | Iraq | 50 1000 t | 2023 | up 614.3% | volatile |
| 67 | Caribbean | 48 1000 t | 2023 | up 60.0% | rising |
| 68 | Bosnia and Herzegovina | 47 1000 t | 2023 | up 27.0% | rising |
| 69 | Libya | 43 1000 t | 2023 | up 95.5% | rising |
| 70 | Latvia | 42 1000 t | 2023 | up 20.0% | rising |
| 71 | Israel | 38 1000 t | 2023 | down 9.5% | rising |
| 72 | Cambodia | 35 1000 t | 2023 | up 775.0% | volatile |
| 72 | Laos | 35 1000 t | 2023 | down 31.4% | falling |
| 72 | Uzbekistan | 35 1000 t | 2023 | — | volatile |
| 72 | Lao People's Democratic Republic | 35 1000 t | 2023 | down 31.4% | falling |
| 76 | Armenia | 33 1000 t | 2023 | up 73.7% | rising |
| 77 | Azerbaijan | 32 1000 t | 2023 | up 255.6% | rising |
| 77 | Chile | 32 1000 t | 2023 | up 39.1% | rising |
| 79 | Kuwait | 31 1000 t | 2023 | up 6.9% | rising |
| 80 | Qatar | 29 1000 t | 2023 | — | flat |
| 81 | Guatemala | 26 1000 t | 2023 | up 85.7% | rising |
| 81 | Moldova | 26 1000 t | 2023 | up 52.9% | rising |
| 81 | Nigeria | 26 1000 t | 2023 | up 420.0% | volatile |
| 81 | Tunisia | 26 1000 t | 2023 | down 29.7% | rising |
| 81 | Republic of Moldova | 26 1000 t | 2023 | up 52.9% | rising |
| 86 | Estonia | 24 1000 t | 2023 | up 4.3% | rising |
| 86 | Kyrgyzstan | 24 1000 t | 2023 | up 140.0% | rising |
| 86 | Myanmar | 24 1000 t | 2023 | down 56.4% | falling |
| 89 | Dominican Republic | 23 1000 t | 2023 | up 1,050.0% | volatile |
| 89 | Peru | 23 1000 t | 2023 | up 109.1% | rising |
| 91 | Syria | 22 1000 t | 2023 | down 18.5% | flat |
| 91 | Syrian Arab Republic | 22 1000 t | 2023 | down 18.5% | flat |
| 93 | Luxembourg | 21 1000 t | 2023 | unchanged | rising |
| 94 | Oman | 20 1000 t | 2023 | up 17.6% | rising |
| 95 | Cyprus | 19 1000 t | 2023 | up 26.7% | rising |
| 95 | North Macedonia | 19 1000 t | 2023 | up 11.8% | rising |
| 97 | Costa Rica | 18 1000 t | 2023 | up 350.0% | rising |
| 98 | Senegal | 16 1000 t | 2023 | up 300.0% | volatile |
| 98 | East Timor | 16 1000 t | 2023 | unchanged | falling |
| 98 | Timor-Leste | 16 1000 t | 2023 | unchanged | falling |
| 101 | Ecuador | 15 1000 t | 2023 | up 150.0% | rising |
| 101 | El Salvador | 15 1000 t | 2023 | up 36.4% | rising |
| 103 | Bahrain | 14 1000 t | 2023 | — | rising |
| 103 | Fiji | 14 1000 t | 2023 | up 1,300.0% | volatile |
| 103 | China, Macao SAR | 14 1000 t | 2023 | up 100.0% | rising |
| 106 | Belarus | 13 1000 t | 2023 | down 67.5% | rising |
| 106 | Brazil | 13 1000 t | 2023 | up 225.0% | rising |
| 108 | Albania | 11 1000 t | 2023 | up 22.2% | rising |
| 108 | Burkina Faso | 11 1000 t | 2023 | up 120.0% | rising |
| 108 | Maldives | 11 1000 t | 2023 | up 10.0% | rising |
| 111 | Mongolia | 10 1000 t | 2023 | down 23.1% | rising |
| 111 | Panama | 10 1000 t | 2023 | up 150.0% | rising |
| 111 | Democratic People's Republic of Korea | 10 1000 t | 2018 | up 66.7% | volatile |
| 114 | Namibia | 9 1000 t | 2023 | up 50.0% | rising |
| 114 | Solomon Islands | 9 1000 t | 2023 | up 800.0% | volatile |
| 114 | Uruguay | 9 1000 t | 2023 | down 18.2% | falling |
| 117 | Guyana | 8 1000 t | 2023 | up 100.0% | rising |
| 117 | Trinidad and Tobago | 8 1000 t | 2023 | unchanged | rising |
| 119 | Montenegro | 7 1000 t | 2023 | unchanged | falling |
| 119 | Bolivia (Plurinational State of) | 7 1000 t | 2023 | up 133.3% | rising |
| 121 | Malta | 6 1000 t | 2023 | down 14.3% | rising |
| 121 | Mauritius | 6 1000 t | 2023 | up 50.0% | rising |
| 121 | Polynesia | 6 1000 t | 2023 | up 20.0% | rising |
| 124 | Bangladesh | 5 1000 t | 2023 | up 400.0% | volatile |
| 124 | Kenya | 5 1000 t | 2023 | up 150.0% | rising |
| 124 | Liberia | 5 1000 t | 2023 | up 150.0% | volatile |
| 124 | Nicaragua | 5 1000 t | 2023 | up 150.0% | falling |
| 124 | Tajikistan | 5 1000 t | 2023 | up 400.0% | volatile |
| 124 | Uganda | 5 1000 t | 2023 | up 400.0% | volatile |
| 130 | Botswana | 4 1000 t | 2023 | up 33.3% | rising |
| 130 | Cuba | 4 1000 t | 2019 | down 77.8% | falling |
| 130 | New Caledonia | 4 1000 t | 2023 | unchanged | falling |
| 130 | Paraguay | 4 1000 t | 2023 | up 100.0% | rising |
| 130 | French Polynesia | 4 1000 t | 2023 | up 33.3% | rising |
| 130 | Turkmenistan | 4 1000 t | 2023 | — | volatile |
| 136 | Bahamas | 3 1000 t | 2023 | down 40.0% | volatile |
| 136 | Barbados | 3 1000 t | 2023 | up 50.0% | rising |
| 136 | Cote d'Ivoire | 3 1000 t | 2023 | up 200.0% | volatile |
| 136 | Honduras | 3 1000 t | 2023 | up 200.0% | volatile |
| 136 | Iceland | 3 1000 t | 2023 | unchanged | rising |
| 136 | Suriname | 3 1000 t | 2023 | up 200.0% | rising |
| 136 | Yemen | 3 1000 t | 2023 | up 200.0% | volatile |
| 136 | Micronesia | 3 1000 t | 2023 | — | volatile |
| 136 | Democratic Republic of the Congo | 3 1000 t | 2023 | up 200.0% | volatile |
| 136 | Côte d'Ivoire | 3 1000 t | 2023 | up 200.0% | volatile |
| 146 | Angola | 2 1000 t | 2023 | up 100.0% | volatile |
| 146 | Belize | 2 1000 t | 2023 | down 66.7% | rising |
| 146 | Cameroon | 2 1000 t | 2023 | up 100.0% | rising |
| 146 | Gabon | 2 1000 t | 2023 | unchanged | rising |
| 146 | Gambia | 2 1000 t | 2023 | — | volatile |
| 146 | Jamaica | 2 1000 t | 2023 | up 100.0% | rising |
| 146 | Madagascar | 2 1000 t | 2023 | — | volatile |
| 146 | Marshall Islands | 2 1000 t | 2023 | — | rising |
| 146 | Mozambique | 2 1000 t | 2023 | unchanged | rising |
| 146 | Mauritania | 2 1000 t | 2023 | — | volatile |
| 146 | Nepal | 2 1000 t | 2023 | up 100.0% | rising |
| 146 | Pakistan | 2 1000 t | 2023 | up 100.0% | volatile |
| 146 | Samoa | 2 1000 t | 2023 | unchanged | falling |
| 146 | Zimbabwe | 2 1000 t | 2023 | unchanged | falling |
| 146 | Cabo Verde | 2 1000 t | 2023 | unchanged | flat |
| 146 | Venezuela (Bolivarian Republic of) | 2 1000 t | 2023 | down 92.6% | volatile |
| 146 | United Republic of Tanzania | 2 1000 t | 2023 | up 100.0% | volatile |
| 163 | Afghanistan | 1 1000 t | 2023 | — | volatile |
| 163 | Antigua and Barbuda | 1 1000 t | 2023 | unchanged | rising |
| 163 | Bhutan | 1 1000 t | 2023 | — | flat |
| 163 | Congo | 1 1000 t | 2023 | unchanged | volatile |
| 163 | Djibouti | 1 1000 t | 2023 | down 80.0% | volatile |
| 163 | Ghana | 1 1000 t | 2023 | down 50.0% | rising |
| 163 | Guinea | 1 1000 t | 2023 | unchanged | rising |
| 163 | Sri Lanka | 1 1000 t | 2023 | unchanged | rising |
| 163 | Niger | 1 1000 t | 2023 | down 50.0% | rising |
| 163 | Eswatini | 1 1000 t | 2023 | down 66.7% | volatile |
| 163 | Seychelles | 1 1000 t | 2023 | — | volatile |
| 163 | Vanuatu | 1 1000 t | 2023 | unchanged | rising |
| 163 | Zambia | 1 1000 t | 2023 | unchanged | rising |
| 176 | Ethiopia | 0 1000 t | 2023 | — | volatile |
| 176 | Guinea-Bissau | 0 1000 t | 2023 | — | volatile |
| 176 | Haiti | 0 1000 t | 2023 | — | volatile |
| 176 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 176 | Lesotho | 0 1000 t | 2023 | — | volatile |
| 176 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 176 | Sierra Leone | 0 1000 t | 2023 | — | volatile |
| 176 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | volatile |
| 176 | Micronesia (Federated States of) | 0 1000 t | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 15,837 1000 t
- Europe 7,520 1000 t
- European Union (27) 5,772 1000 t
- Asia 4,344 1000 t
- Americas 3,015 1000 t
- Western Europe 2,923 1000 t
- Northern America 2,484 1000 t
- United States of America 2,082 1000 t
- Southern Europe 1,772 1000 t
- Eastern Asia 1,523 1000 t
- Eastern Europe 1,494 1000 t
- Western Asia 1,408 1000 t
- Northern Europe 1,331 1000 t
- South-Eastern Asia 1,044 1000 t
- Net Food Importing Developing Countries (NFIDCs) 714 1000 t
- Africa 594 1000 t
- Land Locked Developing Countries (LLDCs) 393 1000 t
- Oceania 364 1000 t
- Northern Africa 363 1000 t
- South America 334 1000 t
- Least Developed Countries (LDCs) 278 1000 t
- Low Income Food Deficit Countries (LIFDCs) 257 1000 t
- Small island developing States (SIDS) 187 1000 t
- Central Asia 186 1000 t
- Southern Asia 183 1000 t
- Central America 150 1000 t
- Southern Africa 96 1000 t
- Western Africa 91 1000 t
- Eastern Africa 32 1000 t
- Middle Africa 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.