Coffee and products — Food 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
185
Highest
1,431 1000 t
United States
Lowest
0 1000 t
Micronesia (Federated States of)
Median
22 1000 t
Years covered
14
2010–2023
Data points
3,028
What the numbers show
Coffee and products — Food is currently reported for 185 countries. The highest value is 1,431 1000 t in United States; the lowest is 0 1000 t in Micronesia (Federated States of).
The median across all reporting countries is 22 1000 t, and the mean is 75.43 1000 t.
Over the past decade 109 countries rose and 41 fell. The largest increase was in Democratic Republic of the Congo (up 5,500.0%), and the largest decrease in Djibouti (down 100.0%).
Coffee and products — Food: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | United States | 1,431 1000 t | 2023 | up 2.2% | rising |
| 2 | Brazil | 1,061 1000 t | 2023 | up 18.9% | volatile |
| 3 | China | 678 1000 t | 2023 | up 374.1% | volatile |
| 4 | Philippines | 489 1000 t | 2023 | up 94.0% | rising |
| 5 | Germany | 449 1000 t | 2023 | down 19.7% | flat |
| 6 | Vietnam | 387 1000 t | 2023 | — | volatile |
| 6 | Viet Nam | 387 1000 t | 2023 | — | volatile |
| 8 | Italy | 363 1000 t | 2023 | down 5.7% | falling |
| 9 | France | 346 1000 t | 2023 | down 5.5% | flat |
| 10 | United Kingdom | 343 1000 t | 2023 | up 81.5% | rising |
| 10 | United Kingdom of Great Britain and Northern Ireland | 343 1000 t | 2023 | up 81.5% | rising |
| 12 | China, Hong Kong SAR | 322 1000 t | 2023 | up 347.2% | volatile |
| 13 | China, mainland | 300 1000 t | 2023 | up 445.5% | volatile |
| 14 | Ethiopia | 295 1000 t | 2023 | up 76.6% | rising |
| 15 | Canada | 269 1000 t | 2023 | up 3.9% | flat |
| 16 | Australia and New Zealand | 222 1000 t | 2023 | up 17.5% | rising |
| 17 | Russia | 186 1000 t | 2023 | down 67.2% | falling |
| 17 | Russian Federation | 186 1000 t | 2023 | down 67.2% | falling |
| 19 | Saudi Arabia | 179 1000 t | 2023 | unchanged | rising |
| 20 | Spain | 174 1000 t | 2023 | down 2.8% | falling |
| 21 | Laos | 173 1000 t | 2023 | up 66.3% | rising |
| 21 | Lao People's Democratic Republic | 173 1000 t | 2023 | up 66.3% | rising |
| 23 | Peru | 172 1000 t | 2023 | up 805.3% | volatile |
| 24 | Romania | 166 1000 t | 2023 | up 172.1% | rising |
| 25 | Turkey | 159 1000 t | 2023 | up 152.4% | rising |
| 25 | Türkiye | 159 1000 t | 2023 | up 152.4% | rising |
| 27 | Australia | 155 1000 t | 2023 | up 14.8% | rising |
| 28 | Guinea | 144 1000 t | 2023 | up 1,100.0% | volatile |
| 29 | Republic of Korea | 133 1000 t | 2023 | up 155.8% | rising |
| 30 | Argentina | 115 1000 t | 2023 | up 33.7% | rising |
| 30 | Sweden | 115 1000 t | 2023 | up 7.5% | rising |
| 32 | Mexico | 107 1000 t | 2023 | up 8.1% | flat |
| 33 | Ukraine | 106 1000 t | 2023 | down 43.0% | falling |
| 34 | Greece | 102 1000 t | 2023 | down 35.4% | falling |
| 35 | Jordan | 87 1000 t | 2023 | up 64.2% | rising |
| 36 | Kazakhstan | 83 1000 t | 2023 | up 66.0% | rising |
| 36 | Poland | 83 1000 t | 2023 | up 66.0% | rising |
| 38 | Ireland | 82 1000 t | 2023 | up 192.9% | rising |
| 38 | Serbia | 82 1000 t | 2023 | up 1.2% | rising |
| 40 | Caribbean | 79 1000 t | 2023 | down 29.5% | falling |
| 41 | Indonesia | 78 1000 t | 2023 | up 550.0% | rising |
| 42 | Colombia | 75 1000 t | 2023 | up 38.9% | rising |
| 42 | Lebanon | 75 1000 t | 2023 | up 2.7% | flat |
| 44 | Belgium | 74 1000 t | 2023 | down 9.8% | rising |
| 45 | Bulgaria | 72 1000 t | 2023 | down 8.9% | falling |
| 45 | Netherlands (Kingdom of the) | 72 1000 t | 2023 | up 80.0% | rising |
| 47 | Denmark | 69 1000 t | 2023 | up 3.0% | flat |
| 48 | New Zealand | 66 1000 t | 2023 | up 22.2% | rising |
| 49 | South Africa | 64 1000 t | 2023 | up 20.8% | rising |
| 50 | Algeria | 63 1000 t | 2023 | down 53.3% | falling |
| 50 | Egypt | 63 1000 t | 2023 | up 65.8% | rising |
| 52 | Guatemala | 62 1000 t | 2023 | up 21.6% | rising |
| 53 | Finland | 60 1000 t | 2023 | down 20.0% | falling |
| 54 | Melanesia | 59 1000 t | 2023 | up 436.4% | volatile |
| 54 | Venezuela (Bolivarian Republic of) | 59 1000 t | 2023 | down 22.4% | falling |
| 56 | Norway | 58 1000 t | 2023 | down 1.7% | rising |
| 56 | Portugal | 58 1000 t | 2023 | up 11.5% | flat |
| 56 | Slovakia | 58 1000 t | 2023 | up 5.5% | rising |
| 56 | Iran (Islamic Republic of) | 58 1000 t | 2023 | up 34.9% | rising |
| 60 | Switzerland | 57 1000 t | 2023 | down 8.1% | rising |
| 61 | Austria | 56 1000 t | 2023 | down 48.1% | falling |
| 61 | Democratic Republic of the Congo | 56 1000 t | 2023 | up 5,500.0% | volatile |
| 63 | Thailand | 50 1000 t | 2023 | up 212.5% | volatile |
| 64 | Georgia | 48 1000 t | 2023 | up 50.0% | rising |
| 64 | Madagascar | 48 1000 t | 2023 | up 26.3% | rising |
| 66 | Bosnia and Herzegovina | 45 1000 t | 2023 | up 21.6% | rising |
| 66 | Morocco | 45 1000 t | 2023 | up 32.4% | rising |
| 68 | China, Taiwan Province of | 44 1000 t | 2023 | up 450.0% | volatile |
| 69 | Honduras | 43 1000 t | 2023 | up 377.8% | volatile |
| 69 | Libya | 43 1000 t | 2023 | up 138.9% | rising |
| 71 | Dominican Republic | 41 1000 t | 2023 | up 127.8% | rising |
| 72 | Lithuania | 38 1000 t | 2023 | down 7.3% | rising |
| 73 | Papua New Guinea | 37 1000 t | 2023 | up 640.0% | volatile |
| 74 | Croatia | 36 1000 t | 2023 | unchanged | rising |
| 75 | Cambodia | 35 1000 t | 2023 | up 775.0% | volatile |
| 76 | Uzbekistan | 34 1000 t | 2023 | — | volatile |
| 77 | Israel | 33 1000 t | 2023 | up 3.1% | rising |
| 78 | Costa Rica | 31 1000 t | 2023 | up 675.0% | rising |
| 79 | Iraq | 30 1000 t | 2023 | up 400.0% | volatile |
| 80 | Qatar | 29 1000 t | 2023 | — | flat |
| 80 | Yemen | 29 1000 t | 2023 | up 70.6% | rising |
| 82 | Chile | 28 1000 t | 2023 | up 154.5% | rising |
| 82 | Kuwait | 28 1000 t | 2023 | up 16.7% | rising |
| 84 | Myanmar | 27 1000 t | 2023 | down 57.1% | falling |
| 84 | Bolivia (Plurinational State of) | 27 1000 t | 2023 | up 17.4% | rising |
| 86 | Nigeria | 26 1000 t | 2023 | up 420.0% | volatile |
| 87 | Moldova | 25 1000 t | 2023 | up 47.1% | rising |
| 87 | Republic of Moldova | 25 1000 t | 2023 | up 47.1% | rising |
| 89 | Armenia | 24 1000 t | 2023 | up 50.0% | rising |
| 90 | Kyrgyzstan | 23 1000 t | 2023 | up 155.6% | rising |
| 90 | Latvia | 23 1000 t | 2023 | unchanged | falling |
| 90 | Tunisia | 23 1000 t | 2023 | down 30.3% | rising |
| 93 | Azerbaijan | 22 1000 t | 2023 | up 120.0% | rising |
| 93 | Slovenia | 22 1000 t | 2023 | up 22.2% | rising |
| 95 | Czechia | 21 1000 t | 2023 | down 34.4% | falling |
| 95 | Estonia | 21 1000 t | 2023 | up 5.0% | rising |
| 95 | Syria | 21 1000 t | 2023 | down 4.5% | falling |
| 95 | Syrian Arab Republic | 21 1000 t | 2023 | down 4.5% | falling |
| 99 | Angola | 20 1000 t | 2023 | up 53.8% | rising |
| 99 | Panama | 20 1000 t | 2023 | up 150.0% | rising |
| 101 | Hungary | 19 1000 t | 2023 | up 1,800.0% | volatile |
| 101 | North Macedonia | 19 1000 t | 2023 | up 18.8% | rising |
| 101 | Oman | 19 1000 t | 2023 | up 35.7% | rising |
| 104 | East Timor | 17 1000 t | 2023 | up 21.4% | rising |
| 104 | Timor-Leste | 17 1000 t | 2023 | up 21.4% | rising |
| 106 | Cyprus | 16 1000 t | 2023 | up 14.3% | rising |
| 106 | El Salvador | 16 1000 t | 2023 | up 23.1% | rising |
| 108 | Senegal | 14 1000 t | 2023 | up 366.7% | volatile |
| 109 | Cameroon | 13 1000 t | 2023 | down 7.1% | volatile |
| 109 | Luxembourg | 13 1000 t | 2023 | unchanged | flat |
| 111 | Belarus | 12 1000 t | 2023 | down 64.7% | rising |
| 111 | China, Macao SAR | 12 1000 t | 2023 | up 71.4% | rising |
| 113 | Maldives | 11 1000 t | 2023 | up 22.2% | rising |
| 114 | Albania | 10 1000 t | 2023 | up 11.1% | rising |
| 114 | Bahrain | 10 1000 t | 2023 | — | rising |
| 114 | Cuba | 10 1000 t | 2019 | down 61.5% | falling |
| 114 | Kenya | 10 1000 t | 2023 | up 900.0% | volatile |
| 114 | Mongolia | 10 1000 t | 2023 | down 33.3% | rising |
| 114 | Malawi | 10 1000 t | 2023 | up 100.0% | rising |
| 114 | Democratic People's Republic of Korea | 10 1000 t | 2018 | up 66.7% | volatile |
| 121 | Jamaica | 9 1000 t | 2023 | up 28.6% | flat |
| 121 | Solomon Islands | 9 1000 t | 2023 | up 800.0% | volatile |
| 123 | Guyana | 8 1000 t | 2023 | — | volatile |
| 123 | Uruguay | 8 1000 t | 2023 | down 27.3% | falling |
| 125 | United Arab Emirates | 7 1000 t | 2023 | down 87.5% | volatile |
| 125 | Burkina Faso | 7 1000 t | 2023 | up 40.0% | rising |
| 125 | Fiji | 7 1000 t | 2023 | up 600.0% | volatile |
| 125 | Namibia | 7 1000 t | 2023 | up 75.0% | rising |
| 125 | Rwanda | 7 1000 t | 2023 | — | volatile |
| 125 | Uganda | 7 1000 t | 2023 | up 600.0% | volatile |
| 131 | Malta | 6 1000 t | 2023 | unchanged | rising |
| 131 | Montenegro | 6 1000 t | 2023 | up 20.0% | falling |
| 131 | Mauritius | 6 1000 t | 2023 | up 50.0% | rising |
| 131 | Trinidad and Tobago | 6 1000 t | 2023 | down 14.3% | rising |
| 131 | Polynesia | 6 1000 t | 2023 | up 20.0% | rising |
| 136 | Bangladesh | 5 1000 t | 2023 | up 400.0% | volatile |
| 136 | Haiti | 5 1000 t | 2023 | down 90.9% | volatile |
| 136 | Sri Lanka | 5 1000 t | 2023 | down 16.7% | flat |
| 139 | Botswana | 4 1000 t | 2023 | up 33.3% | rising |
| 139 | Liberia | 4 1000 t | 2023 | up 100.0% | rising |
| 139 | New Caledonia | 4 1000 t | 2023 | up 33.3% | falling |
| 139 | Paraguay | 4 1000 t | 2023 | up 33.3% | rising |
| 139 | French Polynesia | 4 1000 t | 2023 | up 33.3% | rising |
| 139 | Turkmenistan | 4 1000 t | 2023 | up 100.0% | rising |
| 145 | Barbados | 3 1000 t | 2023 | up 50.0% | rising |
| 145 | Cote d'Ivoire | 3 1000 t | 2023 | up 200.0% | volatile |
| 145 | India | 3 1000 t | 2023 | up 200.0% | volatile |
| 145 | Iceland | 3 1000 t | 2023 | unchanged | rising |
| 145 | Mozambique | 3 1000 t | 2023 | unchanged | rising |
| 145 | Suriname | 3 1000 t | 2023 | up 200.0% | volatile |
| 145 | Tajikistan | 3 1000 t | 2023 | up 200.0% | rising |
| 145 | Côte d'Ivoire | 3 1000 t | 2023 | up 200.0% | volatile |
| 153 | Bahamas | 2 1000 t | 2023 | down 33.3% | volatile |
| 153 | Belize | 2 1000 t | 2023 | down 50.0% | rising |
| 153 | Gabon | 2 1000 t | 2023 | unchanged | rising |
| 153 | Gambia | 2 1000 t | 2023 | — | volatile |
| 153 | Mauritania | 2 1000 t | 2023 | — | volatile |
| 153 | Nicaragua | 2 1000 t | 2023 | up 100.0% | volatile |
| 153 | Nepal | 2 1000 t | 2023 | up 100.0% | rising |
| 153 | Pakistan | 2 1000 t | 2023 | up 100.0% | volatile |
| 153 | Samoa | 2 1000 t | 2023 | down 33.3% | falling |
| 153 | Zimbabwe | 2 1000 t | 2023 | unchanged | falling |
| 153 | Cabo Verde | 2 1000 t | 2023 | unchanged | flat |
| 164 | Afghanistan | 1 1000 t | 2023 | — | volatile |
| 164 | Antigua and Barbuda | 1 1000 t | 2023 | unchanged | rising |
| 164 | Bhutan | 1 1000 t | 2023 | — | flat |
| 164 | Congo | 1 1000 t | 2023 | down 66.7% | rising |
| 164 | Ecuador | 1 1000 t | 2023 | — | volatile |
| 164 | Marshall Islands | 1 1000 t | 2023 | — | flat |
| 164 | Niger | 1 1000 t | 2023 | unchanged | rising |
| 164 | Sierra Leone | 1 1000 t | 2023 | — | volatile |
| 164 | Eswatini | 1 1000 t | 2023 | down 50.0% | volatile |
| 164 | Seychelles | 1 1000 t | 2023 | — | volatile |
| 164 | Vanuatu | 1 1000 t | 2023 | unchanged | rising |
| 164 | Zambia | 1 1000 t | 2023 | down 83.3% | falling |
| 164 | Micronesia | 1 1000 t | 2023 | — | volatile |
| 177 | Djibouti | 0 1000 t | 2023 | down 100.0% | volatile |
| 177 | Ghana | 0 1000 t | 2023 | — | volatile |
| 177 | Guinea-Bissau | 0 1000 t | 2023 | — | volatile |
| 177 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 177 | Lesotho | 0 1000 t | 2023 | — | volatile |
| 177 | Malaysia | 0 1000 t | 2023 | down 100.0% | volatile |
| 177 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | volatile |
| 177 | United Republic of Tanzania | 0 1000 t | 2023 | down 100.0% | volatile |
| 177 | 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 12,484 1000 t
- Americas 3,623 1000 t
- Asia 3,618 1000 t
- Europe 3,553 1000 t
- European Union (27) 2,616 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,971 1000 t
- Northern America 1,699 1000 t
- South America 1,562 1000 t
- United States of America 1,431 1000 t
- Africa 1,403 1000 t
- Least Developed Countries (LDCs) 1,326 1000 t
- Eastern Asia 1,306 1000 t
- South-Eastern Asia 1,258 1000 t
- Low Income Food Deficit Countries (LIFDCs) 1,155 1000 t
- Land Locked Developing Countries (LLDCs) 1,102 1000 t
- Western Europe 1,067 1000 t
- Southern Europe 924 1000 t
- Western Asia 818 1000 t
- Northern Europe 814 1000 t
- Eastern Europe 749 1000 t
- Eastern Africa 395 1000 t
- Middle Africa 392 1000 t
- Northern Africa 302 1000 t
- Oceania 288 1000 t
- Central America 283 1000 t
- Western Africa 237 1000 t
- Small island developing States (SIDS) 196 1000 t
- Central Asia 148 1000 t
- Southern Asia 88 1000 t
- Southern Africa 76 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.