Spices — Export 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
Spices — Export quantity is currently reported for 174 countries. The highest value is 1,134 1000 t in India; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 1 1000 t, and the mean is 27.74 1000 t.
Over the past decade 57 countries rose and 20 fell. The largest increase was in Uzbekistan (up 1,250.0%), and the largest decrease in Belarus (down 100.0%).
Spices — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 1,134 1000 t | 2023 | up 39.0% | rising |
| 2 | China | 709 1000 t | 2023 | up 32.5% | rising |
| 3 | China, mainland | 706 1000 t | 2023 | up 33.2% | rising |
| 4 | Viet Nam | 289 1000 t | 2023 | up 75.2% | rising |
| 5 | Indonesia | 158 1000 t | 2023 | up 2.6% | rising |
| 6 | United Arab Emirates | 125 1000 t | 2023 | up 1,036.4% | volatile |
| 7 | Peru | 123 1000 t | 2023 | up 167.4% | rising |
| 8 | Brazil | 117 1000 t | 2023 | up 172.1% | rising |
| 9 | Spain | 112 1000 t | 2023 | up 103.6% | rising |
| 10 | Thailand | 110 1000 t | 2023 | up 139.1% | rising |
| 11 | Netherlands (Kingdom of the) | 104 1000 t | 2023 | up 30.0% | rising |
| 12 | Nigeria | 77 1000 t | 2023 | up 862.5% | volatile |
| 12 | Russian Federation | 77 1000 t | 2023 | up 1,000.0% | volatile |
| 14 | Türkiye | 68 1000 t | 2023 | up 70.0% | rising |
| 15 | Mexico | 64 1000 t | 2023 | up 82.9% | rising |
| 16 | Germany | 55 1000 t | 2023 | up 52.8% | rising |
| 16 | Guatemala | 55 1000 t | 2023 | up 34.1% | rising |
| 16 | Myanmar | 55 1000 t | 2023 | up 511.1% | volatile |
| 19 | Madagascar | 49 1000 t | 2023 | up 188.2% | rising |
| 20 | Sri Lanka | 44 1000 t | 2023 | unchanged | rising |
| 21 | Egypt | 40 1000 t | 2023 | up 263.6% | rising |
| 22 | Syrian Arab Republic | 33 1000 t | 2023 | down 19.5% | rising |
| 23 | Nepal | 32 1000 t | 2023 | down 27.3% | falling |
| 23 | Pakistan | 32 1000 t | 2023 | up 68.4% | rising |
| 25 | Iran (Islamic Republic of) | 30 1000 t | 2023 | down 18.9% | rising |
| 26 | Uzbekistan | 27 1000 t | 2023 | up 1,250.0% | volatile |
| 27 | Italy | 23 1000 t | 2023 | up 76.9% | rising |
| 28 | Bulgaria | 21 1000 t | 2023 | up 16.7% | falling |
| 29 | Malaysia | 20 1000 t | 2023 | down 13.0% | falling |
| 29 | Saudi Arabia | 20 1000 t | 2023 | up 300.0% | volatile |
| 31 | Afghanistan | 16 1000 t | 2023 | up 220.0% | volatile |
| 31 | Poland | 16 1000 t | 2023 | up 77.8% | rising |
| 33 | France | 14 1000 t | 2023 | up 16.7% | rising |
| 34 | Belgium | 13 1000 t | 2023 | up 44.4% | rising |
| 34 | Tunisia | 13 1000 t | 2023 | down 35.0% | falling |
| 36 | Bangladesh | 12 1000 t | 2023 | up 300.0% | rising |
| 36 | Côte d'Ivoire | 12 1000 t | 2023 | up 500.0% | volatile |
| 38 | Jordan | 11 1000 t | 2023 | up 57.1% | rising |
| 38 | Zambia | 11 1000 t | 2023 | up 1,000.0% | volatile |
| 40 | Canada | 10 1000 t | 2023 | unchanged | falling |
| 41 | Austria | 9 1000 t | 2023 | up 28.6% | rising |
| 41 | Comoros | 9 1000 t | 2023 | up 80.0% | rising |
| 41 | Morocco | 9 1000 t | 2023 | down 30.8% | rising |
| 44 | Lithuania | 8 1000 t | 2023 | up 14.3% | rising |
| 44 | United Kingdom of Great Britain and Northern Ireland | 8 1000 t | 2023 | down 27.3% | rising |
| 46 | Ethiopia | 7 1000 t | 2023 | down 63.2% | falling |
| 46 | United Republic of Tanzania | 7 1000 t | 2023 | up 40.0% | volatile |
| 48 | Czechia | 6 1000 t | 2023 | up 100.0% | rising |
| 48 | Georgia | 6 1000 t | 2023 | up 50.0% | rising |
| 48 | Kenya | 6 1000 t | 2023 | up 100.0% | volatile |
| 48 | Uganda | 6 1000 t | 2023 | up 500.0% | volatile |
| 52 | Argentina | 5 1000 t | 2023 | up 25.0% | rising |
| 52 | Colombia | 5 1000 t | 2023 | up 25.0% | rising |
| 52 | Costa Rica | 5 1000 t | 2023 | up 25.0% | rising |
| 52 | Ecuador | 5 1000 t | 2023 | up 400.0% | rising |
| 52 | Melanesia | 5 1000 t | 2023 | up 150.0% | rising |
| 57 | Fiji | 4 1000 t | 2023 | up 100.0% | rising |
| 57 | Latvia | 4 1000 t | 2023 | up 300.0% | rising |
| 57 | Romania | 4 1000 t | 2023 | up 100.0% | flat |
| 57 | Caribbean | 4 1000 t | 2023 | up 33.3% | rising |
| 57 | Republic of Korea | 4 1000 t | 2023 | up 100.0% | rising |
| 62 | Honduras | 3 1000 t | 2023 | up 50.0% | rising |
| 62 | Hungary | 3 1000 t | 2023 | unchanged | rising |
| 62 | Cambodia | 3 1000 t | 2023 | up 200.0% | volatile |
| 62 | Lebanon | 3 1000 t | 2023 | up 200.0% | rising |
| 62 | Lao People's Democratic Republic | 3 1000 t | 2023 | — | volatile |
| 67 | Albania | 2 1000 t | 2023 | — | volatile |
| 67 | Australia | 2 1000 t | 2023 | down 33.3% | falling |
| 67 | Djibouti | 2 1000 t | 2023 | — | volatile |
| 67 | Denmark | 2 1000 t | 2023 | up 100.0% | rising |
| 67 | Israel | 2 1000 t | 2023 | down 33.3% | rising |
| 67 | Serbia | 2 1000 t | 2023 | unchanged | falling |
| 67 | Slovenia | 2 1000 t | 2023 | up 100.0% | volatile |
| 67 | Sweden | 2 1000 t | 2023 | unchanged | rising |
| 67 | Ukraine | 2 1000 t | 2023 | down 75.0% | falling |
| 67 | Zimbabwe | 2 1000 t | 2023 | up 100.0% | rising |
| 67 | Australia and New Zealand | 2 1000 t | 2023 | down 33.3% | falling |
| 67 | China, Taiwan Province of | 2 1000 t | 2023 | unchanged | falling |
| 79 | Bahrain | 1 1000 t | 2023 | — | flat |
| 79 | Bosnia and Herzegovina | 1 1000 t | 2023 | — | volatile |
| 79 | Bhutan | 1 1000 t | 2023 | — | rising |
| 79 | Switzerland | 1 1000 t | 2023 | — | volatile |
| 79 | Chile | 1 1000 t | 2023 | unchanged | volatile |
| 79 | Dominican Republic | 1 1000 t | 2023 | — | volatile |
| 79 | Estonia | 1 1000 t | 2023 | unchanged | rising |
| 79 | Finland | 1 1000 t | 2023 | — | volatile |
| 79 | Greece | 1 1000 t | 2023 | — | volatile |
| 79 | Grenada | 1 1000 t | 2023 | unchanged | flat |
| 79 | Croatia | 1 1000 t | 2023 | — | volatile |
| 79 | Iraq | 1 1000 t | 2023 | — | volatile |
| 79 | Jamaica | 1 1000 t | 2023 | unchanged | rising |
| 79 | Kazakhstan | 1 1000 t | 2023 | — | volatile |
| 79 | Kuwait | 1 1000 t | 2023 | — | volatile |
| 79 | North Macedonia | 1 1000 t | 2023 | unchanged | rising |
| 79 | Mozambique | 1 1000 t | 2023 | — | volatile |
| 79 | Nicaragua | 1 1000 t | 2023 | — | volatile |
| 79 | Oman | 1 1000 t | 2023 | unchanged | volatile |
| 79 | Portugal | 1 1000 t | 2023 | down 66.7% | falling |
| 79 | Rwanda | 1 1000 t | 2023 | — | volatile |
| 79 | Slovakia | 1 1000 t | 2023 | unchanged | rising |
| 79 | Trinidad and Tobago | 1 1000 t | 2023 | — | volatile |
| 79 | Saint Vincent and the Grenadines | 1 1000 t | 2023 | unchanged | volatile |
| 79 | China, Hong Kong SAR | 1 1000 t | 2023 | down 50.0% | falling |
| 104 | Angola | 0 1000 t | 2023 | — | flat |
| 104 | Armenia | 0 1000 t | 2023 | — | flat |
| 104 | Antigua and Barbuda | 0 1000 t | 2022 | — | flat |
| 104 | Azerbaijan | 0 1000 t | 2023 | — | volatile |
| 104 | Burkina Faso | 0 1000 t | 2023 | — | volatile |
| 104 | Bahamas | 0 1000 t | 2023 | — | flat |
| 104 | Belarus | 0 1000 t | 2023 | down 100.0% | volatile |
| 104 | Belize | 0 1000 t | 2023 | — | flat |
| 104 | Barbados | 0 1000 t | 2023 | — | flat |
| 104 | Botswana | 0 1000 t | 2023 | — | flat |
| 104 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 104 | Congo | 0 1000 t | 2023 | — | flat |
| 104 | Cuba | 0 1000 t | 2019 | — | flat |
| 104 | Cyprus | 0 1000 t | 2023 | — | flat |
| 104 | Algeria | 0 1000 t | 2023 | — | flat |
| 104 | Gabon | 0 1000 t | 2023 | — | flat |
| 104 | Ghana | 0 1000 t | 2023 | down 100.0% | volatile |
| 104 | Guinea | 0 1000 t | 2023 | — | flat |
| 104 | Gambia | 0 1000 t | 2023 | — | flat |
| 104 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 104 | Guyana | 0 1000 t | 2023 | — | volatile |
| 104 | Haiti | 0 1000 t | 2023 | — | flat |
| 104 | Ireland | 0 1000 t | 2023 | down 100.0% | volatile |
| 104 | Iceland | 0 1000 t | 2023 | — | flat |
| 104 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 104 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 104 | Liberia | 0 1000 t | 2023 | — | flat |
| 104 | Libya | 0 1000 t | 2023 | — | flat |
| 104 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 104 | Lesotho | 0 1000 t | 2023 | — | flat |
| 104 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 104 | Malta | 0 1000 t | 2023 | — | flat |
| 104 | Montenegro | 0 1000 t | 2023 | — | flat |
| 104 | Mongolia | 0 1000 t | 2023 | — | flat |
| 104 | Mauritius | 0 1000 t | 2023 | — | flat |
| 104 | Malawi | 0 1000 t | 2023 | down 100.0% | volatile |
| 104 | Namibia | 0 1000 t | 2023 | — | volatile |
| 104 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 104 | Niger | 0 1000 t | 2023 | down 100.0% | volatile |
| 104 | Norway | 0 1000 t | 2023 | — | flat |
| 104 | New Zealand | 0 1000 t | 2023 | — | flat |
| 104 | Panama | 0 1000 t | 2023 | — | flat |
| 104 | Philippines | 0 1000 t | 2023 | — | volatile |
| 104 | Papua New Guinea | 0 1000 t | 2023 | — | volatile |
| 104 | Paraguay | 0 1000 t | 2023 | — | flat |
| 104 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 104 | Qatar | 0 1000 t | 2023 | — | flat |
| 104 | Senegal | 0 1000 t | 2023 | — | volatile |
| 104 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 104 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 104 | El Salvador | 0 1000 t | 2023 | — | flat |
| 104 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 104 | Suriname | 0 1000 t | 2023 | — | flat |
| 104 | Eswatini | 0 1000 t | 2023 | — | flat |
| 104 | Seychelles | 0 1000 t | 2023 | — | flat |
| 104 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 104 | Turkmenistan | 0 1000 t | 2023 | — | volatile |
| 104 | Tonga | 0 1000 t | 2023 | — | flat |
| 104 | Uruguay | 0 1000 t | 2023 | — | flat |
| 104 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 104 | Samoa | 0 1000 t | 2023 | — | flat |
| 104 | Yemen | 0 1000 t | 2023 | — | volatile |
| 104 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 104 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 104 | Polynesia | 0 1000 t | 2023 | — | flat |
| 104 | Democratic Republic of the Congo | 0 1000 t | 2023 | down 100.0% | volatile |
| 104 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | volatile |
| 104 | Republic of Moldova | 0 1000 t | 2023 | — | volatile |
| 104 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 104 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | flat |
| 104 | China, Macao SAR | 0 1000 t | 2018 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 4,181 1000 t
- Asia 2,952 1000 t
- Southern Asia 1,300 1000 t
- Eastern Asia 714 1000 t
- South-eastern Asia 638 1000 t
- Net Food Importing Developing Countries (NFIDCs) 514 1000 t
- Europe 500 1000 t
- Americas 437 1000 t
- European Union (27) 406 1000 t
- Africa 285 1000 t
- Western Asia 272 1000 t
- South America 255 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.