Dates — 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...
What the numbers show
Dates — Domestic supply quantity is currently reported for 179 countries. The highest value is 1,835 1000 t in Egypt; the lowest is -33 1000 t in Mexico.
The median across all reporting countries is 0 1000 t, and the mean is 53.85 1000 t.
The gap between the highest and lowest reporting country is a factor of about 56.
Over the past decade 52 countries rose and 14 fell. The largest increase was in Bangladesh (up 2,000.0%), and the largest decrease in Mexico (down 760.0%).
Dates — Domestic supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Egypt | 1,835 1000 t | 2023 | up 40.2% | rising |
| 2 | Saudi Arabia | 1,715 1000 t | 2023 | up 71.8% | rising |
| 3 | Algeria | 1,175 1000 t | 2023 | up 41.9% | rising |
| 4 | Iran (Islamic Republic of) | 753 1000 t | 2023 | down 18.2% | flat |
| 5 | India | 487 1000 t | 2023 | up 56.6% | rising |
| 6 | Pakistan | 440 1000 t | 2023 | up 21.9% | rising |
| 7 | Oman | 402 1000 t | 2023 | up 30.1% | rising |
| 8 | Iraq | 374 1000 t | 2023 | down 29.7% | falling |
| 9 | United Arab Emirates | 334 1000 t | 2023 | up 83.5% | falling |
| 10 | Tunisia | 257 1000 t | 2023 | up 188.8% | rising |
| 11 | Morocco | 237 1000 t | 2023 | up 54.9% | rising |
| 12 | China | 191 1000 t | 2023 | up 14.4% | rising |
| 13 | China, mainland | 190 1000 t | 2023 | up 18.0% | rising |
| 14 | Libya | 186 1000 t | 2023 | up 9.4% | rising |
| 15 | Türkiye | 177 1000 t | 2023 | up 268.8% | volatile |
| 16 | Kuwait | 139 1000 t | 2023 | up 25.2% | rising |
| 17 | Niger | 92 1000 t | 2023 | up 170.6% | volatile |
| 18 | Yemen | 88 1000 t | 2023 | up 7.3% | rising |
| 19 | Indonesia | 56 1000 t | 2023 | up 93.1% | rising |
| 20 | Israel | 43 1000 t | 2023 | up 230.8% | volatile |
| 20 | Qatar | 43 1000 t | 2023 | — | rising |
| 22 | Jordan | 39 1000 t | 2023 | up 95.0% | rising |
| 23 | France | 32 1000 t | 2023 | up 45.5% | rising |
| 24 | Kazakhstan | 28 1000 t | 2023 | up 211.1% | volatile |
| 24 | Mauritania | 28 1000 t | 2023 | up 16.7% | rising |
| 26 | United Kingdom of Great Britain and Northern Ireland | 23 1000 t | 2023 | up 43.8% | rising |
| 27 | Bangladesh | 21 1000 t | 2023 | up 2,000.0% | volatile |
| 28 | Germany | 20 1000 t | 2023 | up 122.2% | rising |
| 29 | Bahrain | 18 1000 t | 2023 | — | flat |
| 30 | Canada | 16 1000 t | 2023 | up 60.0% | rising |
| 31 | Albania | 15 1000 t | 2023 | up 25.0% | rising |
| 31 | Italy | 15 1000 t | 2023 | up 150.0% | rising |
| 33 | Malaysia | 14 1000 t | 2023 | down 22.2% | rising |
| 34 | Spain | 13 1000 t | 2023 | up 62.5% | rising |
| 34 | Syrian Arab Republic | 13 1000 t | 2023 | up 116.7% | rising |
| 36 | Uzbekistan | 12 1000 t | 2023 | — | volatile |
| 37 | Ethiopia | 11 1000 t | 2023 | up 450.0% | volatile |
| 37 | Russian Federation | 11 1000 t | 2023 | down 47.6% | falling |
| 39 | Kenya | 9 1000 t | 2023 | up 125.0% | rising |
| 39 | Lebanon | 9 1000 t | 2023 | up 12.5% | rising |
| 39 | Sri Lanka | 9 1000 t | 2023 | up 12.5% | rising |
| 42 | Azerbaijan | 8 1000 t | 2023 | up 700.0% | volatile |
| 43 | Australia and New Zealand | 7 1000 t | 2023 | up 16.7% | rising |
| 44 | Australia | 6 1000 t | 2023 | up 20.0% | rising |
| 44 | Senegal | 6 1000 t | 2023 | up 200.0% | volatile |
| 46 | Poland | 5 1000 t | 2023 | up 400.0% | rising |
| 46 | United Republic of Tanzania | 5 1000 t | 2023 | up 25.0% | rising |
| 46 | Netherlands (Kingdom of the) | 5 1000 t | 2023 | up 400.0% | volatile |
| 49 | Belgium | 4 1000 t | 2023 | up 33.3% | rising |
| 49 | Sweden | 4 1000 t | 2023 | up 100.0% | rising |
| 49 | Ukraine | 4 1000 t | 2023 | down 20.0% | rising |
| 52 | Austria | 3 1000 t | 2023 | up 50.0% | rising |
| 52 | Brazil | 3 1000 t | 2023 | up 200.0% | rising |
| 52 | Switzerland | 3 1000 t | 2023 | up 50.0% | rising |
| 52 | Denmark | 3 1000 t | 2023 | unchanged | rising |
| 52 | Kyrgyzstan | 3 1000 t | 2023 | — | volatile |
| 52 | Côte d'Ivoire | 3 1000 t | 2023 | up 200.0% | volatile |
| 58 | Bulgaria | 2 1000 t | 2023 | up 100.0% | volatile |
| 58 | Bosnia and Herzegovina | 2 1000 t | 2023 | — | volatile |
| 58 | Czechia | 2 1000 t | 2023 | — | rising |
| 58 | Djibouti | 2 1000 t | 2023 | up 100.0% | volatile |
| 58 | Greece | 2 1000 t | 2023 | up 100.0% | rising |
| 58 | Norway | 2 1000 t | 2023 | up 100.0% | rising |
| 64 | Armenia | 1 1000 t | 2023 | — | rising |
| 64 | Cameroon | 1 1000 t | 2023 | unchanged | flat |
| 64 | Finland | 1 1000 t | 2023 | unchanged | rising |
| 64 | Georgia | 1 1000 t | 2023 | — | volatile |
| 64 | Croatia | 1 1000 t | 2023 | — | volatile |
| 64 | Hungary | 1 1000 t | 2023 | unchanged | volatile |
| 64 | Ireland | 1 1000 t | 2023 | — | volatile |
| 64 | Lithuania | 1 1000 t | 2023 | — | volatile |
| 64 | Maldives | 1 1000 t | 2023 | — | volatile |
| 64 | North Macedonia | 1 1000 t | 2023 | — | volatile |
| 64 | Nigeria | 1 1000 t | 2023 | down 80.0% | volatile |
| 64 | New Zealand | 1 1000 t | 2023 | unchanged | rising |
| 64 | Portugal | 1 1000 t | 2023 | — | volatile |
| 64 | Romania | 1 1000 t | 2023 | unchanged | flat |
| 64 | Serbia | 1 1000 t | 2023 | — | volatile |
| 64 | Thailand | 1 1000 t | 2023 | — | volatile |
| 64 | Tajikistan | 1 1000 t | 2023 | down 50.0% | volatile |
| 64 | China, Hong Kong SAR | 1 1000 t | 2023 | down 50.0% | volatile |
| 82 | Afghanistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 82 | Angola | 0 1000 t | 2023 | — | flat |
| 82 | Argentina | 0 1000 t | 2023 | — | flat |
| 82 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 82 | Burkina Faso | 0 1000 t | 2023 | — | volatile |
| 82 | Bahamas | 0 1000 t | 2023 | — | flat |
| 82 | Belarus | 0 1000 t | 2023 | down 100.0% | volatile |
| 82 | Belize | 0 1000 t | 2023 | — | flat |
| 82 | Barbados | 0 1000 t | 2023 | — | flat |
| 82 | Bhutan | 0 1000 t | 2023 | — | flat |
| 82 | Botswana | 0 1000 t | 2023 | — | flat |
| 82 | Chile | 0 1000 t | 2023 | — | flat |
| 82 | Congo | 0 1000 t | 2023 | — | flat |
| 82 | Colombia | 0 1000 t | 2023 | — | flat |
| 82 | Comoros | 0 1000 t | 2023 | — | flat |
| 82 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 82 | Cuba | 0 1000 t | 2019 | — | flat |
| 82 | Cyprus | 0 1000 t | 2023 | — | flat |
| 82 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 82 | Ecuador | 0 1000 t | 2023 | — | flat |
| 82 | Estonia | 0 1000 t | 2023 | — | flat |
| 82 | Fiji | 0 1000 t | 2023 | — | flat |
| 82 | Gabon | 0 1000 t | 2023 | — | flat |
| 82 | Ghana | 0 1000 t | 2023 | — | volatile |
| 82 | Guinea | 0 1000 t | 2023 | — | volatile |
| 82 | Gambia | 0 1000 t | 2023 | — | volatile |
| 82 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 82 | Grenada | 0 1000 t | 2023 | — | flat |
| 82 | Guatemala | 0 1000 t | 2023 | — | flat |
| 82 | Guyana | 0 1000 t | 2023 | — | flat |
| 82 | Honduras | 0 1000 t | 2023 | — | volatile |
| 82 | Haiti | 0 1000 t | 2023 | — | flat |
| 82 | Iceland | 0 1000 t | 2023 | — | flat |
| 82 | Jamaica | 0 1000 t | 2023 | — | flat |
| 82 | Cambodia | 0 1000 t | 2023 | — | flat |
| 82 | Kiribati | 0 1000 t | 2023 | — | flat |
| 82 | Liberia | 0 1000 t | 2023 | — | flat |
| 82 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 82 | Lesotho | 0 1000 t | 2023 | — | flat |
| 82 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 82 | Latvia | 0 1000 t | 2023 | — | flat |
| 82 | Madagascar | 0 1000 t | 2023 | — | flat |
| 82 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 82 | Malta | 0 1000 t | 2023 | — | flat |
| 82 | Myanmar | 0 1000 t | 2023 | — | volatile |
| 82 | Montenegro | 0 1000 t | 2023 | — | flat |
| 82 | Mongolia | 0 1000 t | 2023 | — | flat |
| 82 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 82 | Mauritius | 0 1000 t | 2023 | — | volatile |
| 82 | Malawi | 0 1000 t | 2023 | — | flat |
| 82 | Namibia | 0 1000 t | 2023 | — | volatile |
| 82 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 82 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 82 | Nepal | 0 1000 t | 2023 | down 100.0% | volatile |
| 82 | Nauru | 0 1000 t | 2023 | — | flat |
| 82 | Panama | 0 1000 t | 2023 | — | flat |
| 82 | Peru | 0 1000 t | 2023 | — | flat |
| 82 | Philippines | 0 1000 t | 2023 | — | flat |
| 82 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 82 | Paraguay | 0 1000 t | 2023 | — | flat |
| 82 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 82 | Rwanda | 0 1000 t | 2023 | — | flat |
| 82 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 82 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 82 | El Salvador | 0 1000 t | 2023 | — | flat |
| 82 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 82 | Suriname | 0 1000 t | 2023 | — | flat |
| 82 | Slovakia | 0 1000 t | 2023 | down 100.0% | volatile |
| 82 | Slovenia | 0 1000 t | 2023 | — | volatile |
| 82 | Eswatini | 0 1000 t | 2023 | — | flat |
| 82 | Seychelles | 0 1000 t | 2023 | — | flat |
| 82 | Turkmenistan | 0 1000 t | 2023 | up 100.0% | volatile |
| 82 | Tonga | 0 1000 t | 2023 | — | flat |
| 82 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 82 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 82 | Uganda | 0 1000 t | 2023 | — | flat |
| 82 | Uruguay | 0 1000 t | 2023 | — | flat |
| 82 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 82 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 82 | Samoa | 0 1000 t | 2023 | — | flat |
| 82 | Zambia | 0 1000 t | 2023 | — | volatile |
| 82 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 82 | Micronesia | 0 1000 t | 2023 | — | flat |
| 82 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 82 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 82 | Melanesia | 0 1000 t | 2023 | — | flat |
| 82 | Polynesia | 0 1000 t | 2023 | — | flat |
| 82 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 82 | Caribbean | 0 1000 t | 2023 | — | flat |
| 82 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 82 | Republic of Korea | 0 1000 t | 2023 | — | volatile |
| 82 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 82 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 82 | Viet Nam | 0 1000 t | 2023 | — | volatile |
| 82 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 82 | China, Taiwan Province of | 0 1000 t | 2023 | down 100.0% | volatile |
| 82 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
| 179 | Mexico | -33 1000 t | 2023 | down 760.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 10,019 1000 t
- Asia 5,439 1000 t
- Africa 4,349 1000 t
- Northern Africa 4,134 1000 t
- Net Food Importing Developing Countries (NFIDCs) 3,588 1000 t
- Western Asia 3,417 1000 t
- Southern Asia 1,712 1000 t
- Low Income Food Deficit Countries (LIFDCs) 771 1000 t
- Least Developed Countries (LDCs) 755 1000 t
- Eastern Asia 193 1000 t
- Land Locked Developing Countries (LLDCs) 186 1000 t
- Europe 180 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.