Coffee and products — Domestic supply 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
186
Highest
1,433 1000 t
United States
Lowest
-80 1000 t
Malaysia
Median
23 1000 t
Years covered
14
2010–2023
Data points
3,046
What the numbers show
Coffee and products — Domestic supply quantity is currently reported for 186 countries. The highest value is 1,433 1000 t in United States; the lowest is -80 1000 t in Malaysia.
The median across all reporting countries is 23 1000 t, and the mean is 77.85 1000 t.
The gap between the highest and lowest reporting country is a factor of about 18.
Over the past decade 109 countries rose and 44 fell. The largest increase was in Fiji (up 1,300.0%), and the largest decrease in India (down 600.0%).
Coffee and products — Domestic supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | United States | 1,433 1000 t | 2023 | up 2.4% | rising |
| 2 | Brazil | 1,245 1000 t | 2023 | up 18.3% | rising |
| 3 | China | 730 1000 t | 2023 | up 359.1% | volatile |
| 4 | Vietnam | 499 1000 t | 2023 | up 1,248.7% | volatile |
| 4 | Viet Nam | 499 1000 t | 2023 | up 1,248.7% | volatile |
| 6 | Philippines | 493 1000 t | 2023 | up 92.6% | rising |
| 7 | Germany | 449 1000 t | 2023 | down 19.7% | flat |
| 8 | Italy | 365 1000 t | 2023 | down 5.4% | falling |
| 9 | China, Hong Kong SAR | 359 1000 t | 2023 | up 354.4% | volatile |
| 10 | France | 346 1000 t | 2023 | down 5.5% | flat |
| 11 | United Kingdom | 345 1000 t | 2023 | up 80.6% | rising |
| 11 | United Kingdom of Great Britain and Northern Ireland | 345 1000 t | 2023 | up 80.6% | rising |
| 13 | Ethiopia | 324 1000 t | 2023 | up 72.3% | rising |
| 14 | China, mainland | 308 1000 t | 2023 | up 404.9% | volatile |
| 15 | Canada | 269 1000 t | 2023 | up 3.9% | flat |
| 16 | Australia and New Zealand | 224 1000 t | 2023 | up 17.3% | rising |
| 17 | Spain | 206 1000 t | 2023 | down 0.5% | falling |
| 18 | Peru | 187 1000 t | 2023 | up 544.8% | volatile |
| 19 | Russia | 186 1000 t | 2023 | down 67.2% | falling |
| 19 | Russian Federation | 186 1000 t | 2023 | down 67.2% | falling |
| 21 | Laos | 183 1000 t | 2023 | up 66.4% | rising |
| 21 | Lao People's Democratic Republic | 183 1000 t | 2023 | up 66.4% | rising |
| 23 | Saudi Arabia | 179 1000 t | 2023 | unchanged | rising |
| 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 | 158 1000 t | 2023 | up 15.3% | rising |
| 28 | Guinea | 154 1000 t | 2023 | up 1,084.6% | volatile |
| 29 | Republic of Korea | 138 1000 t | 2023 | up 146.4% | rising |
| 30 | Mexico | 118 1000 t | 2023 | up 6.3% | flat |
| 31 | Argentina | 115 1000 t | 2023 | up 33.7% | rising |
| 31 | Sweden | 115 1000 t | 2023 | up 7.5% | rising |
| 33 | Ukraine | 106 1000 t | 2023 | down 43.0% | volatile |
| 34 | Greece | 102 1000 t | 2023 | down 36.2% | falling |
| 35 | Jordan | 87 1000 t | 2023 | up 64.2% | rising |
| 36 | Ireland | 86 1000 t | 2023 | up 186.7% | rising |
| 37 | Colombia | 83 1000 t | 2023 | up 36.1% | rising |
| 37 | Kazakhstan | 83 1000 t | 2023 | up 66.0% | rising |
| 37 | Poland | 83 1000 t | 2023 | up 80.4% | rising |
| 37 | Caribbean | 83 1000 t | 2023 | down 29.7% | falling |
| 37 | Netherlands (Kingdom of the) | 83 1000 t | 2023 | up 88.6% | rising |
| 42 | Serbia | 82 1000 t | 2023 | up 1.2% | rising |
| 43 | Lebanon | 79 1000 t | 2023 | up 1.3% | flat |
| 44 | Belgium | 74 1000 t | 2023 | down 10.8% | rising |
| 45 | Bulgaria | 73 1000 t | 2023 | down 8.8% | falling |
| 46 | Denmark | 70 1000 t | 2023 | up 4.5% | flat |
| 46 | South Africa | 70 1000 t | 2023 | up 25.0% | rising |
| 48 | Melanesia | 68 1000 t | 2023 | up 385.7% | volatile |
| 49 | New Zealand | 66 1000 t | 2023 | up 22.2% | rising |
| 50 | Algeria | 63 1000 t | 2023 | down 53.3% | falling |
| 50 | Guatemala | 63 1000 t | 2023 | up 21.2% | rising |
| 52 | Finland | 60 1000 t | 2023 | down 20.0% | falling |
| 52 | Slovakia | 60 1000 t | 2023 | up 7.1% | rising |
| 52 | Venezuela (Bolivarian Republic of) | 60 1000 t | 2023 | down 24.1% | falling |
| 55 | Egypt | 59 1000 t | 2023 | up 55.3% | rising |
| 55 | Iran (Islamic Republic of) | 59 1000 t | 2023 | up 34.1% | rising |
| 57 | Norway | 58 1000 t | 2023 | down 1.7% | rising |
| 57 | Portugal | 58 1000 t | 2023 | up 11.5% | flat |
| 57 | Democratic Republic of the Congo | 58 1000 t | 2023 | up 123.1% | rising |
| 60 | Austria | 57 1000 t | 2023 | down 47.7% | falling |
| 60 | Switzerland | 57 1000 t | 2023 | down 8.1% | rising |
| 62 | Honduras | 53 1000 t | 2023 | up 120.8% | rising |
| 63 | Thailand | 52 1000 t | 2023 | up 226.8% | volatile |
| 64 | Madagascar | 51 1000 t | 2023 | up 24.4% | rising |
| 64 | China, Taiwan Province of | 51 1000 t | 2023 | up 325.0% | volatile |
| 66 | Georgia | 48 1000 t | 2023 | up 50.0% | rising |
| 67 | Bosnia and Herzegovina | 45 1000 t | 2023 | up 21.6% | rising |
| 67 | Morocco | 45 1000 t | 2023 | up 32.4% | rising |
| 69 | Libya | 43 1000 t | 2023 | up 138.9% | rising |
| 70 | Dominican Republic | 42 1000 t | 2023 | up 121.1% | rising |
| 71 | Papua New Guinea | 40 1000 t | 2023 | up 400.0% | volatile |
| 72 | Lithuania | 38 1000 t | 2023 | down 7.3% | rising |
| 73 | Costa Rica | 36 1000 t | 2023 | up 820.0% | rising |
| 73 | Croatia | 36 1000 t | 2023 | unchanged | volatile |
| 73 | Cambodia | 36 1000 t | 2023 | up 800.0% | volatile |
| 76 | Israel | 35 1000 t | 2023 | up 6.1% | rising |
| 77 | Uzbekistan | 34 1000 t | 2023 | — | volatile |
| 78 | Cote d'Ivoire | 33 1000 t | 2023 | up 200.0% | volatile |
| 78 | Côte d'Ivoire | 33 1000 t | 2023 | up 200.0% | volatile |
| 80 | Iraq | 30 1000 t | 2023 | up 400.0% | volatile |
| 80 | Yemen | 30 1000 t | 2023 | up 66.7% | rising |
| 82 | Qatar | 29 1000 t | 2023 | — | flat |
| 83 | Chile | 28 1000 t | 2023 | up 154.5% | rising |
| 83 | Kuwait | 28 1000 t | 2023 | up 16.7% | rising |
| 83 | Myanmar | 28 1000 t | 2023 | down 55.6% | falling |
| 83 | Nigeria | 28 1000 t | 2023 | up 300.0% | volatile |
| 83 | Bolivia (Plurinational State of) | 28 1000 t | 2023 | up 16.7% | rising |
| 88 | Uganda | 26 1000 t | 2023 | up 471.4% | volatile |
| 89 | Moldova | 25 1000 t | 2023 | up 47.1% | rising |
| 89 | Republic of Moldova | 25 1000 t | 2023 | up 47.1% | rising |
| 91 | Armenia | 24 1000 t | 2023 | up 50.0% | rising |
| 91 | Slovenia | 24 1000 t | 2023 | up 26.3% | rising |
| 93 | Kyrgyzstan | 23 1000 t | 2023 | up 155.6% | rising |
| 93 | Latvia | 23 1000 t | 2023 | unchanged | falling |
| 93 | Tunisia | 23 1000 t | 2023 | down 30.3% | rising |
| 96 | Azerbaijan | 22 1000 t | 2023 | up 120.0% | rising |
| 97 | Angola | 21 1000 t | 2023 | up 61.5% | rising |
| 97 | Estonia | 21 1000 t | 2023 | up 5.0% | rising |
| 97 | Panama | 21 1000 t | 2023 | up 162.5% | rising |
| 97 | Syria | 21 1000 t | 2023 | down 4.5% | falling |
| 97 | Syrian Arab Republic | 21 1000 t | 2023 | down 4.5% | falling |
| 102 | East Timor | 20 1000 t | 2023 | up 42.9% | rising |
| 102 | Timor-Leste | 20 1000 t | 2023 | up 42.9% | rising |
| 104 | North Macedonia | 19 1000 t | 2023 | up 18.8% | rising |
| 104 | Oman | 19 1000 t | 2023 | up 35.7% | rising |
| 106 | Cyprus | 18 1000 t | 2023 | up 20.0% | rising |
| 107 | El Salvador | 17 1000 t | 2023 | up 173.9% | volatile |
| 108 | Cameroon | 15 1000 t | 2023 | down 6.2% | volatile |
| 109 | Fiji | 14 1000 t | 2023 | up 1,300.0% | volatile |
| 109 | Senegal | 14 1000 t | 2023 | up 366.7% | volatile |
| 111 | Luxembourg | 13 1000 t | 2023 | unchanged | flat |
| 112 | Belarus | 12 1000 t | 2023 | down 64.7% | rising |
| 112 | Maldives | 12 1000 t | 2023 | up 20.0% | rising |
| 112 | China, Macao SAR | 12 1000 t | 2023 | up 71.4% | rising |
| 115 | Kenya | 11 1000 t | 2023 | up 257.1% | volatile |
| 115 | Malawi | 11 1000 t | 2023 | up 120.0% | rising |
| 115 | Rwanda | 11 1000 t | 2023 | up 450.0% | volatile |
| 118 | Albania | 10 1000 t | 2023 | up 11.1% | rising |
| 118 | Bahrain | 10 1000 t | 2023 | — | rising |
| 118 | Cuba | 10 1000 t | 2019 | down 63.0% | falling |
| 118 | Czechia | 10 1000 t | 2023 | down 69.7% | falling |
| 118 | Mongolia | 10 1000 t | 2023 | down 33.3% | rising |
| 118 | Democratic People's Republic of Korea | 10 1000 t | 2018 | up 66.7% | volatile |
| 124 | Jamaica | 9 1000 t | 2023 | up 28.6% | rising |
| 124 | Nicaragua | 9 1000 t | 2023 | up 169.2% | volatile |
| 124 | Solomon Islands | 9 1000 t | 2023 | up 800.0% | volatile |
| 127 | Guyana | 8 1000 t | 2023 | — | volatile |
| 127 | Uruguay | 8 1000 t | 2023 | down 27.3% | falling |
| 129 | Namibia | 7 1000 t | 2023 | up 75.0% | rising |
| 130 | Sri Lanka | 6 1000 t | 2023 | unchanged | flat |
| 130 | Malta | 6 1000 t | 2023 | unchanged | flat |
| 130 | Montenegro | 6 1000 t | 2023 | up 20.0% | falling |
| 130 | Mauritius | 6 1000 t | 2023 | up 50.0% | rising |
| 130 | Trinidad and Tobago | 6 1000 t | 2023 | down 14.3% | rising |
| 130 | Polynesia | 6 1000 t | 2023 | unchanged | flat |
| 136 | Bangladesh | 5 1000 t | 2023 | up 400.0% | volatile |
| 136 | Haiti | 5 1000 t | 2023 | down 91.4% | volatile |
| 138 | Burkina Faso | 4 1000 t | 2023 | down 20.0% | rising |
| 138 | Botswana | 4 1000 t | 2023 | up 33.3% | rising |
| 138 | Liberia | 4 1000 t | 2023 | up 100.0% | rising |
| 138 | New Caledonia | 4 1000 t | 2023 | up 33.3% | falling |
| 138 | Paraguay | 4 1000 t | 2023 | up 33.3% | rising |
| 138 | French Polynesia | 4 1000 t | 2023 | up 33.3% | rising |
| 138 | Turkmenistan | 4 1000 t | 2023 | — | volatile |
| 145 | Bahamas | 3 1000 t | 2023 | down 25.0% | volatile |
| 145 | Barbados | 3 1000 t | 2023 | up 50.0% | rising |
| 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 |
| 151 | Belize | 2 1000 t | 2023 | down 60.0% | rising |
| 151 | Gabon | 2 1000 t | 2023 | unchanged | rising |
| 151 | Mauritania | 2 1000 t | 2023 | — | volatile |
| 151 | Nepal | 2 1000 t | 2023 | up 100.0% | rising |
| 151 | Pakistan | 2 1000 t | 2023 | up 100.0% | volatile |
| 151 | Samoa | 2 1000 t | 2023 | down 33.3% | falling |
| 151 | Zimbabwe | 2 1000 t | 2023 | unchanged | falling |
| 151 | Cabo Verde | 2 1000 t | 2023 | unchanged | flat |
| 159 | Afghanistan | 1 1000 t | 2023 | — | volatile |
| 159 | Antigua and Barbuda | 1 1000 t | 2023 | unchanged | rising |
| 159 | Bhutan | 1 1000 t | 2023 | — | flat |
| 159 | Congo | 1 1000 t | 2023 | down 66.7% | volatile |
| 159 | Comoros | 1 1000 t | 2023 | — | volatile |
| 159 | Gambia | 1 1000 t | 2023 | — | volatile |
| 159 | Marshall Islands | 1 1000 t | 2023 | — | flat |
| 159 | Niger | 1 1000 t | 2023 | unchanged | rising |
| 159 | Sierra Leone | 1 1000 t | 2023 | down 97.1% | volatile |
| 159 | Eswatini | 1 1000 t | 2023 | down 50.0% | volatile |
| 159 | Seychelles | 1 1000 t | 2023 | — | volatile |
| 159 | Vanuatu | 1 1000 t | 2023 | unchanged | rising |
| 159 | Micronesia | 1 1000 t | 2023 | — | volatile |
| 172 | Djibouti | 0 1000 t | 2023 | down 100.0% | volatile |
| 172 | Guinea-Bissau | 0 1000 t | 2023 | — | volatile |
| 172 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 172 | Lesotho | 0 1000 t | 2023 | — | volatile |
| 172 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | volatile |
| 172 | Zambia | 0 1000 t | 2023 | down 100.0% | falling |
| 172 | Micronesia (Federated States of) | 0 1000 t | 2023 | — | volatile |
| 187 | Ghana | -1 1000 t | 2023 | up 80.0% | volatile |
| 188 | Indonesia | -10 1000 t | 2023 | down 132.3% | volatile |
| 189 | Hungary | -13 1000 t | 2023 | up 40.9% | volatile |
| 190 | Ecuador | -16 1000 t | 2023 | up 77.8% | volatile |
| 191 | United Republic of Tanzania | -19 1000 t | 2023 | down 311.1% | volatile |
| 192 | United Arab Emirates | -20 1000 t | 2023 | down 121.7% | volatile |
| 193 | India | -45 1000 t | 2023 | down 600.0% | volatile |
| 194 | Malaysia | -80 1000 t | 2023 | down 86.0% | falling |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 12,798 1000 t
- Americas 3,856 1000 t
- Asia 3,576 1000 t
- Europe 3,565 1000 t
- European Union (27) 2,628 1000 t
- Net Food Importing Developing Countries (NFIDCs) 2,108 1000 t
- South America 1,753 1000 t
- Northern America 1,701 1000 t
- Africa 1,502 1000 t
- United States of America 1,433 1000 t
- Least Developed Countries (LDCs) 1,404 1000 t
- Eastern Asia 1,363 1000 t
- Low Income Food Deficit Countries (LIFDCs) 1,230 1000 t
- South-Eastern Asia 1,221 1000 t
- Land Locked Developing Countries (LLDCs) 1,176 1000 t
- Western Europe 1,078 1000 t
- Southern Europe 959 1000 t
- Northern Europe 820 1000 t
- Western Asia 801 1000 t
- Eastern Europe 708 1000 t
- Eastern Africa 429 1000 t
- Middle Africa 414 1000 t
- Central America 318 1000 t
- Oceania 299 1000 t
- Northern Africa 298 1000 t
- Western Africa 278 1000 t
- Small island developing States (SIDS) 212 1000 t
- Central Asia 148 1000 t
- Southern Africa 82 1000 t
- Southern Asia 43 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.