Spices, Other — 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...
What the numbers show
Spices, Other — Food is currently reported for 156 countries. The highest value is 4,411 1000 t in India; the lowest is 0 1000 t in Democratic People's Republic of Korea.
The median across all reporting countries is 4.5 1000 t, and the mean is 67.44 1000 t.
Over the past decade 75 countries rose and 22 fell. The largest increase was in Kenya (up 1,050.0%), and the largest decrease in Slovenia (down 100.0%).
Spices, Other — Food: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 4,411 1000 t | 2023 | up 93.1% | rising |
| 2 | Nigeria | 669 1000 t | 2023 | up 58.5% | volatile |
| 3 | Turkey | 523 1000 t | 2023 | up 198.9% | volatile |
| 3 | Türkiye | 523 1000 t | 2023 | up 198.9% | volatile |
| 5 | Bangladesh | 507 1000 t | 2023 | up 70.1% | rising |
| 6 | China | 407 1000 t | 2023 | up 76.2% | rising |
| 7 | China, mainland | 375 1000 t | 2023 | up 86.6% | rising |
| 8 | Indonesia | 365 1000 t | 2023 | up 9.3% | rising |
| 9 | Ethiopia | 263 1000 t | 2023 | unchanged | rising |
| 10 | Yemen | 243 1000 t | 2023 | up 10.0% | rising |
| 11 | Pakistan | 203 1000 t | 2023 | up 50.4% | rising |
| 12 | United States | 189 1000 t | 2023 | up 43.2% | rising |
| 13 | Nepal | 146 1000 t | 2023 | up 36.4% | rising |
| 14 | Mexico | 124 1000 t | 2023 | up 79.7% | rising |
| 15 | Malaysia | 112 1000 t | 2023 | up 40.0% | rising |
| 16 | Saudi Arabia | 97 1000 t | 2023 | up 11.5% | rising |
| 17 | Thailand | 86 1000 t | 2023 | down 35.3% | falling |
| 18 | Sri Lanka | 85 1000 t | 2023 | up 93.2% | rising |
| 19 | Iran (Islamic Republic of) | 67 1000 t | 2023 | up 48.9% | rising |
| 20 | Morocco | 56 1000 t | 2023 | up 60.0% | rising |
| 21 | United Kingdom | 53 1000 t | 2023 | up 12.8% | rising |
| 21 | United Kingdom of Great Britain and Northern Ireland | 53 1000 t | 2023 | up 12.8% | rising |
| 23 | Germany | 48 1000 t | 2023 | up 41.2% | rising |
| 24 | Syria | 42 1000 t | 2023 | up 320.0% | volatile |
| 24 | Syrian Arab Republic | 42 1000 t | 2023 | up 320.0% | volatile |
| 26 | Canada | 35 1000 t | 2023 | up 25.0% | rising |
| 27 | Netherlands (Kingdom of the) | 31 1000 t | 2023 | up 93.8% | rising |
| 28 | Philippines | 30 1000 t | 2023 | up 7.1% | rising |
| 28 | Republic of Korea | 30 1000 t | 2023 | up 87.5% | rising |
| 30 | China, Taiwan Province of | 27 1000 t | 2023 | unchanged | falling |
| 31 | France | 23 1000 t | 2023 | up 91.7% | rising |
| 31 | Kenya | 23 1000 t | 2023 | up 1,050.0% | volatile |
| 33 | Russia | 22 1000 t | 2023 | up 69.2% | volatile |
| 33 | Russian Federation | 22 1000 t | 2023 | up 69.2% | volatile |
| 35 | Colombia | 20 1000 t | 2023 | up 42.9% | rising |
| 36 | Tunisia | 19 1000 t | 2023 | unchanged | falling |
| 36 | Australia and New Zealand | 19 1000 t | 2023 | up 111.1% | rising |
| 38 | Cameroon | 17 1000 t | 2023 | down 26.1% | falling |
| 38 | Egypt | 17 1000 t | 2023 | down 59.5% | falling |
| 38 | Guyana | 17 1000 t | 2023 | up 466.7% | volatile |
| 41 | United Arab Emirates | 16 1000 t | 2023 | down 42.9% | falling |
| 41 | Brazil | 16 1000 t | 2023 | up 33.3% | rising |
| 41 | Iraq | 16 1000 t | 2023 | up 700.0% | volatile |
| 44 | Australia | 15 1000 t | 2023 | up 200.0% | rising |
| 44 | Oman | 15 1000 t | 2023 | up 36.4% | rising |
| 46 | Belgium | 14 1000 t | 2023 | up 100.0% | rising |
| 46 | Kuwait | 14 1000 t | 2023 | up 40.0% | rising |
| 46 | Qatar | 14 1000 t | 2023 | — | flat |
| 49 | Algeria | 13 1000 t | 2023 | up 30.0% | rising |
| 49 | Poland | 13 1000 t | 2023 | up 225.0% | volatile |
| 51 | Vietnam | 12 1000 t | 2023 | down 81.2% | volatile |
| 51 | Caribbean | 12 1000 t | 2023 | unchanged | falling |
| 51 | Viet Nam | 12 1000 t | 2023 | down 81.2% | volatile |
| 54 | Afghanistan | 10 1000 t | 2023 | up 66.7% | rising |
| 54 | Libya | 10 1000 t | 2023 | up 233.3% | volatile |
| 54 | South Africa | 10 1000 t | 2023 | up 42.9% | rising |
| 57 | Italy | 9 1000 t | 2023 | up 125.0% | volatile |
| 57 | Jordan | 9 1000 t | 2023 | up 125.0% | rising |
| 57 | Laos | 9 1000 t | 2023 | up 200.0% | volatile |
| 57 | Lao People's Democratic Republic | 9 1000 t | 2023 | up 200.0% | volatile |
| 61 | Senegal | 8 1000 t | 2023 | up 700.0% | volatile |
| 61 | Sweden | 8 1000 t | 2023 | up 33.3% | rising |
| 63 | Burkina Faso | 7 1000 t | 2023 | up 16.7% | rising |
| 64 | Argentina | 6 1000 t | 2023 | up 200.0% | rising |
| 64 | Austria | 6 1000 t | 2023 | up 20.0% | rising |
| 64 | Bahrain | 6 1000 t | 2023 | — | flat |
| 64 | Bhutan | 6 1000 t | 2023 | — | falling |
| 64 | Denmark | 6 1000 t | 2023 | down 14.3% | rising |
| 64 | Spain | 6 1000 t | 2023 | unchanged | rising |
| 64 | Uzbekistan | 6 1000 t | 2023 | up 500.0% | volatile |
| 71 | Botswana | 5 1000 t | 2023 | up 66.7% | rising |
| 71 | Switzerland | 5 1000 t | 2023 | up 25.0% | rising |
| 71 | Israel | 5 1000 t | 2023 | up 66.7% | rising |
| 71 | Kazakhstan | 5 1000 t | 2023 | up 400.0% | volatile |
| 71 | Namibia | 5 1000 t | 2023 | up 66.7% | rising |
| 71 | Niger | 5 1000 t | 2023 | unchanged | rising |
| 71 | Peru | 5 1000 t | 2023 | down 16.7% | falling |
| 71 | Portugal | 5 1000 t | 2023 | up 400.0% | volatile |
| 79 | Myanmar | 4 1000 t | 2023 | unchanged | falling |
| 79 | New Zealand | 4 1000 t | 2023 | up 33.3% | rising |
| 79 | Zambia | 4 1000 t | 2023 | unchanged | rising |
| 79 | Democratic Republic of the Congo | 4 1000 t | 2023 | — | volatile |
| 79 | Bolivia (Plurinational State of) | 4 1000 t | 2023 | up 33.3% | rising |
| 79 | China, Hong Kong SAR | 4 1000 t | 2023 | up 33.3% | rising |
| 85 | Chile | 3 1000 t | 2023 | up 50.0% | rising |
| 85 | Dominican Republic | 3 1000 t | 2023 | unchanged | rising |
| 85 | Ecuador | 3 1000 t | 2023 | unchanged | rising |
| 85 | Guatemala | 3 1000 t | 2023 | up 50.0% | rising |
| 85 | Ireland | 3 1000 t | 2023 | up 50.0% | rising |
| 85 | Mauritius | 3 1000 t | 2023 | up 50.0% | rising |
| 85 | Panama | 3 1000 t | 2023 | up 200.0% | volatile |
| 85 | Eswatini | 3 1000 t | 2023 | — | volatile |
| 85 | Ukraine | 3 1000 t | 2023 | down 50.0% | falling |
| 85 | Melanesia | 3 1000 t | 2023 | up 50.0% | rising |
| 95 | Czechia | 2 1000 t | 2023 | unchanged | rising |
| 95 | Finland | 2 1000 t | 2023 | up 100.0% | rising |
| 95 | Fiji | 2 1000 t | 2023 | — | volatile |
| 95 | Ghana | 2 1000 t | 2023 | up 100.0% | volatile |
| 95 | Greece | 2 1000 t | 2023 | down 33.3% | flat |
| 95 | Hungary | 2 1000 t | 2023 | down 71.4% | falling |
| 95 | Jamaica | 2 1000 t | 2023 | unchanged | falling |
| 95 | Lebanon | 2 1000 t | 2023 | unchanged | rising |
| 95 | Lesotho | 2 1000 t | 2023 | unchanged | volatile |
| 95 | Madagascar | 2 1000 t | 2023 | up 100.0% | volatile |
| 95 | Maldives | 2 1000 t | 2023 | up 100.0% | rising |
| 95 | Mozambique | 2 1000 t | 2023 | — | volatile |
| 95 | Norway | 2 1000 t | 2023 | unchanged | rising |
| 95 | Romania | 2 1000 t | 2023 | down 66.7% | volatile |
| 95 | Sierra Leone | 2 1000 t | 2023 | up 100.0% | rising |
| 95 | Trinidad and Tobago | 2 1000 t | 2023 | down 50.0% | falling |
| 95 | Venezuela (Bolivarian Republic of) | 2 1000 t | 2023 | unchanged | volatile |
| 95 | United Republic of Tanzania | 2 1000 t | 2023 | unchanged | flat |
| 95 | China, Macao SAR | 2 1000 t | 2023 | — | volatile |
| 114 | Angola | 1 1000 t | 2023 | — | volatile |
| 114 | Azerbaijan | 1 1000 t | 2023 | unchanged | rising |
| 114 | Bulgaria | 1 1000 t | 2023 | down 66.7% | volatile |
| 114 | Bahamas | 1 1000 t | 2023 | unchanged | falling |
| 114 | Bosnia and Herzegovina | 1 1000 t | 2023 | unchanged | volatile |
| 114 | Belarus | 1 1000 t | 2023 | unchanged | rising |
| 114 | Cote d'Ivoire | 1 1000 t | 2023 | down 83.3% | falling |
| 114 | Costa Rica | 1 1000 t | 2023 | unchanged | falling |
| 114 | Cuba | 1 1000 t | 2019 | unchanged | rising |
| 114 | Cyprus | 1 1000 t | 2023 | — | volatile |
| 114 | Djibouti | 1 1000 t | 2023 | — | volatile |
| 114 | Estonia | 1 1000 t | 2023 | unchanged | rising |
| 114 | Georgia | 1 1000 t | 2023 | unchanged | falling |
| 114 | Honduras | 1 1000 t | 2023 | unchanged | flat |
| 114 | Croatia | 1 1000 t | 2023 | — | volatile |
| 114 | Kyrgyzstan | 1 1000 t | 2023 | — | volatile |
| 114 | Lithuania | 1 1000 t | 2023 | down 50.0% | falling |
| 114 | Luxembourg | 1 1000 t | 2023 | unchanged | rising |
| 114 | Latvia | 1 1000 t | 2023 | unchanged | flat |
| 114 | Moldova | 1 1000 t | 2023 | — | volatile |
| 114 | North Macedonia | 1 1000 t | 2023 | unchanged | rising |
| 114 | Malawi | 1 1000 t | 2023 | unchanged | rising |
| 114 | Papua New Guinea | 1 1000 t | 2023 | unchanged | flat |
| 114 | Paraguay | 1 1000 t | 2023 | unchanged | flat |
| 114 | El Salvador | 1 1000 t | 2023 | — | volatile |
| 114 | Serbia | 1 1000 t | 2023 | unchanged | volatile |
| 114 | Slovakia | 1 1000 t | 2023 | down 50.0% | falling |
| 114 | Seychelles | 1 1000 t | 2023 | — | volatile |
| 114 | Uruguay | 1 1000 t | 2023 | — | volatile |
| 114 | Saint Vincent and the Grenadines | 1 1000 t | 2023 | — | volatile |
| 114 | Zimbabwe | 1 1000 t | 2023 | unchanged | flat |
| 114 | Polynesia | 1 1000 t | 2023 | — | volatile |
| 114 | Republic of Moldova | 1 1000 t | 2023 | — | volatile |
| 114 | Côte d'Ivoire | 1 1000 t | 2023 | down 83.3% | falling |
| 148 | Comoros | 0 1000 t | 2023 | — | volatile |
| 148 | Grenada | 0 1000 t | 2023 | — | volatile |
| 148 | Mauritania | 0 1000 t | 2023 | — | volatile |
| 148 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 148 | Slovenia | 0 1000 t | 2023 | down 100.0% | falling |
| 148 | East Timor | 0 1000 t | 2023 | down 100.0% | volatile |
| 148 | Uganda | 0 1000 t | 2023 | down 100.0% | volatile |
| 148 | Timor-Leste | 0 1000 t | 2023 | down 100.0% | volatile |
| 148 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 9,587 1000 t
- Asia 7,621 1000 t
- Southern Asia 5,435 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,736 1000 t
- Least Developed Countries (LDCs) 1,280 1000 t
- Africa 1,214 1000 t
- Western Asia 1,008 1000 t
- Low Income Food Deficit Countries (LIFDCs) 844 1000 t
- Western Africa 737 1000 t
- South-Eastern Asia 619 1000 t
- Eastern Asia 546 1000 t
- Land Locked Developing Countries (LLDCs) 527 1000 t
- Americas 447 1000 t
- Eastern Africa 310 1000 t
- Europe 282 1000 t
- Northern America 224 1000 t
- European Union (27) 191 1000 t
- United States of America 189 1000 t
- Central America 133 1000 t
- Western Europe 127 1000 t
- Northern Africa 120 1000 t
- South America 79 1000 t
- Northern Europe 78 1000 t
- Eastern Europe 49 1000 t
- Small island developing States (SIDS) 40 1000 t
- Southern Europe 28 1000 t
- Southern Africa 25 1000 t
- Oceania 23 1000 t
- Middle Africa 23 1000 t
- Central Asia 13 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.