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 132 countries. The highest value is 1,134 1000 t in India; the lowest is 0 1000 t in Republic of Moldova.
The median across all reporting countries is 4 1000 t, and the mean is 40.8 1000 t.
Over the past decade 63 countries rose and 22 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 | Vietnam | 289 1000 t | 2023 | up 75.2% | rising |
| 4 | Viet Nam | 289 1000 t | 2023 | up 75.2% | rising |
| 6 | Indonesia | 158 1000 t | 2023 | up 2.6% | rising |
| 7 | United Arab Emirates | 125 1000 t | 2023 | up 1,036.4% | volatile |
| 8 | Peru | 123 1000 t | 2023 | up 167.4% | rising |
| 9 | Brazil | 117 1000 t | 2023 | up 172.1% | rising |
| 10 | Spain | 112 1000 t | 2023 | up 103.6% | rising |
| 11 | Thailand | 110 1000 t | 2023 | up 139.1% | rising |
| 12 | Netherlands (Kingdom of the) | 104 1000 t | 2023 | up 30.0% | rising |
| 13 | Nigeria | 77 1000 t | 2023 | up 862.5% | volatile |
| 13 | Russia | 77 1000 t | 2023 | up 1,000.0% | volatile |
| 13 | Russian Federation | 77 1000 t | 2023 | up 1,000.0% | volatile |
| 16 | Turkey | 68 1000 t | 2023 | up 70.0% | rising |
| 16 | Türkiye | 68 1000 t | 2023 | up 70.0% | rising |
| 18 | Mexico | 64 1000 t | 2023 | up 82.9% | rising |
| 19 | Germany | 55 1000 t | 2023 | up 52.8% | rising |
| 19 | Guatemala | 55 1000 t | 2023 | up 34.1% | rising |
| 19 | Myanmar | 55 1000 t | 2023 | up 511.1% | volatile |
| 22 | Madagascar | 49 1000 t | 2023 | up 188.2% | rising |
| 23 | Sri Lanka | 44 1000 t | 2023 | unchanged | rising |
| 24 | United States | 41 1000 t | 2023 | up 24.2% | rising |
| 25 | Egypt | 40 1000 t | 2023 | up 263.6% | rising |
| 26 | Syria | 33 1000 t | 2023 | down 19.5% | rising |
| 26 | Syrian Arab Republic | 33 1000 t | 2023 | down 19.5% | rising |
| 28 | Nepal | 32 1000 t | 2023 | down 27.3% | falling |
| 28 | Pakistan | 32 1000 t | 2023 | up 68.4% | rising |
| 30 | Iran (Islamic Republic of) | 30 1000 t | 2023 | down 18.9% | rising |
| 31 | South Africa | 28 1000 t | 2023 | up 40.0% | rising |
| 32 | Uzbekistan | 27 1000 t | 2023 | up 1,250.0% | volatile |
| 33 | Italy | 23 1000 t | 2023 | up 76.9% | rising |
| 34 | Bulgaria | 21 1000 t | 2023 | up 16.7% | falling |
| 35 | Malaysia | 20 1000 t | 2023 | down 13.0% | falling |
| 35 | Saudi Arabia | 20 1000 t | 2023 | up 300.0% | volatile |
| 37 | Afghanistan | 16 1000 t | 2023 | up 220.0% | volatile |
| 37 | Poland | 16 1000 t | 2023 | up 77.8% | rising |
| 39 | France | 14 1000 t | 2023 | up 16.7% | rising |
| 40 | Belgium | 13 1000 t | 2023 | up 44.4% | rising |
| 40 | Tunisia | 13 1000 t | 2023 | down 35.0% | falling |
| 42 | Bangladesh | 12 1000 t | 2023 | up 300.0% | rising |
| 42 | Cote d'Ivoire | 12 1000 t | 2023 | up 500.0% | volatile |
| 42 | Côte d'Ivoire | 12 1000 t | 2023 | up 500.0% | volatile |
| 45 | Jordan | 11 1000 t | 2023 | up 57.1% | rising |
| 45 | Zambia | 11 1000 t | 2023 | up 1,000.0% | volatile |
| 47 | Canada | 10 1000 t | 2023 | unchanged | falling |
| 48 | Austria | 9 1000 t | 2023 | up 28.6% | rising |
| 48 | Comoros | 9 1000 t | 2023 | up 80.0% | rising |
| 48 | Morocco | 9 1000 t | 2023 | down 30.8% | rising |
| 51 | United Kingdom | 8 1000 t | 2023 | down 27.3% | rising |
| 51 | Lithuania | 8 1000 t | 2023 | up 14.3% | rising |
| 51 | United Kingdom of Great Britain and Northern Ireland | 8 1000 t | 2023 | down 27.3% | rising |
| 54 | Ethiopia | 7 1000 t | 2023 | down 63.2% | falling |
| 54 | United Republic of Tanzania | 7 1000 t | 2023 | up 40.0% | volatile |
| 56 | Czechia | 6 1000 t | 2023 | up 100.0% | rising |
| 56 | Georgia | 6 1000 t | 2023 | up 50.0% | rising |
| 56 | Kenya | 6 1000 t | 2023 | up 100.0% | volatile |
| 56 | Uganda | 6 1000 t | 2023 | up 500.0% | volatile |
| 60 | Argentina | 5 1000 t | 2023 | up 25.0% | rising |
| 60 | Colombia | 5 1000 t | 2023 | up 25.0% | rising |
| 60 | Costa Rica | 5 1000 t | 2023 | up 25.0% | rising |
| 60 | Ecuador | 5 1000 t | 2023 | up 400.0% | rising |
| 60 | Melanesia | 5 1000 t | 2023 | up 150.0% | rising |
| 65 | Fiji | 4 1000 t | 2023 | up 100.0% | rising |
| 65 | Latvia | 4 1000 t | 2023 | up 300.0% | rising |
| 65 | Romania | 4 1000 t | 2023 | up 100.0% | flat |
| 65 | Caribbean | 4 1000 t | 2023 | up 33.3% | rising |
| 65 | Republic of Korea | 4 1000 t | 2023 | up 100.0% | rising |
| 70 | Honduras | 3 1000 t | 2023 | up 50.0% | rising |
| 70 | Hungary | 3 1000 t | 2023 | unchanged | rising |
| 70 | Cambodia | 3 1000 t | 2023 | up 200.0% | volatile |
| 70 | Laos | 3 1000 t | 2023 | — | volatile |
| 70 | Lebanon | 3 1000 t | 2023 | up 200.0% | rising |
| 70 | Lao People's Democratic Republic | 3 1000 t | 2023 | — | volatile |
| 76 | Albania | 2 1000 t | 2023 | — | volatile |
| 76 | Australia | 2 1000 t | 2023 | down 33.3% | falling |
| 76 | Djibouti | 2 1000 t | 2023 | — | volatile |
| 76 | Denmark | 2 1000 t | 2023 | up 100.0% | rising |
| 76 | Israel | 2 1000 t | 2023 | down 33.3% | rising |
| 76 | Serbia | 2 1000 t | 2023 | unchanged | falling |
| 76 | Slovenia | 2 1000 t | 2023 | up 100.0% | volatile |
| 76 | Sweden | 2 1000 t | 2023 | unchanged | rising |
| 76 | Ukraine | 2 1000 t | 2023 | down 75.0% | falling |
| 76 | Zimbabwe | 2 1000 t | 2023 | up 100.0% | rising |
| 76 | Australia and New Zealand | 2 1000 t | 2023 | down 33.3% | falling |
| 76 | China, Taiwan Province of | 2 1000 t | 2023 | unchanged | falling |
| 88 | Bahrain | 1 1000 t | 2023 | — | flat |
| 88 | Bosnia and Herzegovina | 1 1000 t | 2023 | — | volatile |
| 88 | Bhutan | 1 1000 t | 2023 | — | rising |
| 88 | Switzerland | 1 1000 t | 2023 | — | volatile |
| 88 | Chile | 1 1000 t | 2023 | unchanged | volatile |
| 88 | Dominican Republic | 1 1000 t | 2023 | — | volatile |
| 88 | Estonia | 1 1000 t | 2023 | unchanged | rising |
| 88 | Finland | 1 1000 t | 2023 | — | volatile |
| 88 | Greece | 1 1000 t | 2023 | — | volatile |
| 88 | Grenada | 1 1000 t | 2023 | unchanged | flat |
| 88 | Croatia | 1 1000 t | 2023 | — | volatile |
| 88 | Iraq | 1 1000 t | 2023 | — | volatile |
| 88 | Jamaica | 1 1000 t | 2023 | unchanged | rising |
| 88 | Kazakhstan | 1 1000 t | 2023 | — | volatile |
| 88 | Kuwait | 1 1000 t | 2023 | — | volatile |
| 88 | North Macedonia | 1 1000 t | 2023 | unchanged | rising |
| 88 | Mozambique | 1 1000 t | 2023 | — | volatile |
| 88 | Nicaragua | 1 1000 t | 2023 | — | volatile |
| 88 | Oman | 1 1000 t | 2023 | unchanged | volatile |
| 88 | Portugal | 1 1000 t | 2023 | down 66.7% | falling |
| 88 | Rwanda | 1 1000 t | 2023 | — | volatile |
| 88 | Slovakia | 1 1000 t | 2023 | unchanged | rising |
| 88 | Trinidad and Tobago | 1 1000 t | 2023 | — | volatile |
| 88 | Saint Vincent and the Grenadines | 1 1000 t | 2023 | unchanged | volatile |
| 88 | China, Hong Kong SAR | 1 1000 t | 2023 | down 50.0% | falling |
| 113 | Azerbaijan | 0 1000 t | 2023 | — | volatile |
| 113 | Burkina Faso | 0 1000 t | 2023 | — | volatile |
| 113 | Belarus | 0 1000 t | 2023 | down 100.0% | volatile |
| 113 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 113 | Ghana | 0 1000 t | 2023 | down 100.0% | volatile |
| 113 | Guyana | 0 1000 t | 2023 | — | volatile |
| 113 | Ireland | 0 1000 t | 2023 | down 100.0% | volatile |
| 113 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 113 | Moldova | 0 1000 t | 2023 | — | volatile |
| 113 | Malawi | 0 1000 t | 2023 | down 100.0% | volatile |
| 113 | Namibia | 0 1000 t | 2023 | — | volatile |
| 113 | Niger | 0 1000 t | 2023 | down 100.0% | volatile |
| 113 | Philippines | 0 1000 t | 2023 | — | volatile |
| 113 | Papua New Guinea | 0 1000 t | 2023 | — | volatile |
| 113 | Senegal | 0 1000 t | 2023 | — | volatile |
| 113 | Turkmenistan | 0 1000 t | 2023 | — | volatile |
| 113 | Yemen | 0 1000 t | 2023 | — | volatile |
| 113 | Democratic Republic of the Congo | 0 1000 t | 2023 | down 100.0% | volatile |
| 113 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | volatile |
| 113 | Republic of Moldova | 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 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
- Least Developed Countries (LDCs) 216 1000 t
- Low Income Food Deficit Countries (LIFDCs) 201 1000 t
- Western Europe 195 1000 t
- Southern Europe 147 1000 t
- Eastern Europe 131 1000 t
- Central America 127 1000 t
- Land Locked Developing Countries (LLDCs) 110 1000 t
- Eastern Africa 102 1000 t
- Western Africa 91 1000 t
- Northern Africa 62 1000 t
- Northern America 51 1000 t
- United States of America 41 1000 t
- Central Asia 28 1000 t
- Southern Africa 28 1000 t
- Northern Europe 26 1000 t
- Small island developing States (SIDS) 18 1000 t
- Oceania 7 1000 t
- Middle Africa 1 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.