Spices, Other — 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, Other — Export quantity is currently reported for 121 countries. The highest value is 638 1000 t in India; the lowest is 0 1000 t in Republic of Moldova.
The median across all reporting countries is 3 1000 t, and the mean is 26.83 1000 t.
Over the past decade 50 countries rose and 22 fell. The largest increase was in Peru (up 1,440.0%), and the largest decrease in Belarus (down 100.0%).
Spices, Other — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 638 1000 t | 2023 | up 31.0% | rising |
| 2 | China | 396 1000 t | 2023 | down 9.2% | rising |
| 3 | China, mainland | 393 1000 t | 2023 | down 9.0% | rising |
| 4 | Indonesia | 120 1000 t | 2023 | up 20.0% | rising |
| 5 | Vietnam | 112 1000 t | 2023 | up 273.3% | volatile |
| 5 | Viet Nam | 112 1000 t | 2023 | up 273.3% | volatile |
| 7 | Thailand | 98 1000 t | 2023 | up 133.3% | rising |
| 8 | United Arab Emirates | 95 1000 t | 2023 | up 955.6% | volatile |
| 9 | Netherlands (Kingdom of the) | 84 1000 t | 2023 | up 29.2% | rising |
| 10 | Nigeria | 77 1000 t | 2023 | up 1,000.0% | volatile |
| 10 | Peru | 77 1000 t | 2023 | up 1,440.0% | volatile |
| 10 | Russia | 77 1000 t | 2023 | up 1,000.0% | volatile |
| 10 | Russian Federation | 77 1000 t | 2023 | up 1,000.0% | volatile |
| 14 | Turkey | 61 1000 t | 2023 | up 56.4% | rising |
| 14 | Türkiye | 61 1000 t | 2023 | up 56.4% | rising |
| 16 | Guatemala | 54 1000 t | 2023 | up 38.5% | rising |
| 17 | Myanmar | 45 1000 t | 2023 | up 800.0% | volatile |
| 18 | Egypt | 37 1000 t | 2023 | up 270.0% | rising |
| 19 | Brazil | 33 1000 t | 2023 | up 371.4% | volatile |
| 19 | Germany | 33 1000 t | 2023 | up 83.3% | rising |
| 21 | Nepal | 32 1000 t | 2023 | down 27.3% | falling |
| 21 | Syria | 32 1000 t | 2023 | down 22.0% | rising |
| 21 | Syrian Arab Republic | 32 1000 t | 2023 | down 22.0% | rising |
| 24 | Spain | 31 1000 t | 2023 | up 138.5% | rising |
| 25 | Iran (Islamic Republic of) | 27 1000 t | 2023 | down 25.0% | rising |
| 26 | South Africa | 25 1000 t | 2023 | up 47.1% | rising |
| 27 | Sri Lanka | 24 1000 t | 2023 | up 41.2% | rising |
| 27 | Pakistan | 24 1000 t | 2023 | up 71.4% | rising |
| 29 | United States | 23 1000 t | 2023 | up 27.8% | rising |
| 30 | Bulgaria | 21 1000 t | 2023 | up 16.7% | falling |
| 30 | Italy | 21 1000 t | 2023 | up 90.9% | rising |
| 32 | Saudi Arabia | 19 1000 t | 2023 | up 375.0% | volatile |
| 33 | Mexico | 16 1000 t | 2023 | up 166.7% | rising |
| 34 | Afghanistan | 15 1000 t | 2023 | up 200.0% | rising |
| 35 | Poland | 13 1000 t | 2023 | up 116.7% | rising |
| 36 | Malaysia | 12 1000 t | 2023 | up 71.4% | rising |
| 37 | Bangladesh | 10 1000 t | 2023 | up 233.3% | rising |
| 37 | Cote d'Ivoire | 10 1000 t | 2023 | up 400.0% | volatile |
| 37 | Côte d'Ivoire | 10 1000 t | 2023 | up 400.0% | volatile |
| 40 | Belgium | 9 1000 t | 2023 | up 50.0% | rising |
| 41 | Canada | 8 1000 t | 2023 | down 11.1% | falling |
| 41 | Lithuania | 8 1000 t | 2023 | up 14.3% | rising |
| 43 | Ethiopia | 7 1000 t | 2023 | down 53.3% | falling |
| 43 | France | 7 1000 t | 2023 | unchanged | rising |
| 45 | United Kingdom | 6 1000 t | 2023 | down 40.0% | rising |
| 45 | Georgia | 6 1000 t | 2023 | up 50.0% | rising |
| 45 | Jordan | 6 1000 t | 2023 | up 50.0% | rising |
| 45 | Morocco | 6 1000 t | 2023 | down 40.0% | rising |
| 45 | Uganda | 6 1000 t | 2023 | up 500.0% | volatile |
| 45 | United Kingdom of Great Britain and Northern Ireland | 6 1000 t | 2023 | down 40.0% | rising |
| 51 | Argentina | 5 1000 t | 2023 | up 25.0% | rising |
| 51 | Austria | 5 1000 t | 2023 | up 25.0% | rising |
| 51 | Melanesia | 5 1000 t | 2023 | up 150.0% | rising |
| 54 | Costa Rica | 4 1000 t | 2023 | up 100.0% | volatile |
| 54 | Czechia | 4 1000 t | 2023 | up 100.0% | rising |
| 54 | Fiji | 4 1000 t | 2023 | up 100.0% | rising |
| 54 | Kenya | 4 1000 t | 2023 | up 33.3% | volatile |
| 54 | Madagascar | 4 1000 t | 2023 | up 33.3% | rising |
| 59 | Laos | 3 1000 t | 2023 | — | volatile |
| 59 | Lebanon | 3 1000 t | 2023 | up 200.0% | rising |
| 59 | Latvia | 3 1000 t | 2023 | up 200.0% | volatile |
| 59 | Caribbean | 3 1000 t | 2023 | up 50.0% | rising |
| 59 | Lao People's Democratic Republic | 3 1000 t | 2023 | — | volatile |
| 64 | Albania | 2 1000 t | 2023 | — | volatile |
| 64 | Colombia | 2 1000 t | 2023 | up 100.0% | rising |
| 64 | Ecuador | 2 1000 t | 2023 | — | volatile |
| 64 | Honduras | 2 1000 t | 2023 | — | volatile |
| 64 | Romania | 2 1000 t | 2023 | unchanged | falling |
| 64 | Ukraine | 2 1000 t | 2023 | down 75.0% | falling |
| 64 | United Republic of Tanzania | 2 1000 t | 2023 | — | volatile |
| 64 | China, Taiwan Province of | 2 1000 t | 2023 | unchanged | falling |
| 72 | Australia | 1 1000 t | 2023 | down 66.7% | falling |
| 72 | Bahrain | 1 1000 t | 2023 | — | flat |
| 72 | Bosnia and Herzegovina | 1 1000 t | 2023 | — | volatile |
| 72 | Bhutan | 1 1000 t | 2023 | — | rising |
| 72 | Djibouti | 1 1000 t | 2023 | — | volatile |
| 72 | Denmark | 1 1000 t | 2023 | unchanged | rising |
| 72 | Dominican Republic | 1 1000 t | 2023 | — | volatile |
| 72 | Estonia | 1 1000 t | 2023 | unchanged | volatile |
| 72 | Finland | 1 1000 t | 2023 | — | volatile |
| 72 | Greece | 1 1000 t | 2023 | — | volatile |
| 72 | Grenada | 1 1000 t | 2023 | unchanged | flat |
| 72 | Croatia | 1 1000 t | 2023 | — | volatile |
| 72 | Hungary | 1 1000 t | 2023 | unchanged | flat |
| 72 | Jamaica | 1 1000 t | 2023 | — | volatile |
| 72 | Cambodia | 1 1000 t | 2023 | — | volatile |
| 72 | Kuwait | 1 1000 t | 2023 | — | volatile |
| 72 | North Macedonia | 1 1000 t | 2023 | unchanged | rising |
| 72 | Nicaragua | 1 1000 t | 2023 | — | volatile |
| 72 | Oman | 1 1000 t | 2023 | — | volatile |
| 72 | Portugal | 1 1000 t | 2023 | down 66.7% | volatile |
| 72 | Serbia | 1 1000 t | 2023 | unchanged | rising |
| 72 | Slovakia | 1 1000 t | 2023 | unchanged | volatile |
| 72 | Slovenia | 1 1000 t | 2023 | — | volatile |
| 72 | Sweden | 1 1000 t | 2023 | unchanged | rising |
| 72 | Tunisia | 1 1000 t | 2023 | down 50.0% | volatile |
| 72 | Saint Vincent and the Grenadines | 1 1000 t | 2023 | unchanged | volatile |
| 72 | China, Hong Kong SAR | 1 1000 t | 2023 | down 50.0% | falling |
| 72 | Australia and New Zealand | 1 1000 t | 2023 | down 66.7% | falling |
| 100 | Azerbaijan | 0 1000 t | 2023 | — | volatile |
| 100 | Burkina Faso | 0 1000 t | 2023 | — | volatile |
| 100 | Belarus | 0 1000 t | 2023 | down 100.0% | volatile |
| 100 | Switzerland | 0 1000 t | 2023 | — | volatile |
| 100 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 100 | Ghana | 0 1000 t | 2023 | — | volatile |
| 100 | Ireland | 0 1000 t | 2023 | down 100.0% | volatile |
| 100 | Iraq | 0 1000 t | 2023 | — | volatile |
| 100 | Israel | 0 1000 t | 2023 | down 100.0% | volatile |
| 100 | Moldova | 0 1000 t | 2023 | — | volatile |
| 100 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 100 | Namibia | 0 1000 t | 2023 | — | volatile |
| 100 | Niger | 0 1000 t | 2023 | — | volatile |
| 100 | Papua New Guinea | 0 1000 t | 2023 | — | volatile |
| 100 | Turkmenistan | 0 1000 t | 2023 | — | volatile |
| 100 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 100 | Uzbekistan | 0 1000 t | 2023 | — | volatile |
| 100 | Yemen | 0 1000 t | 2023 | — | volatile |
| 100 | Zambia | 0 1000 t | 2023 | down 100.0% | volatile |
| 100 | Democratic Republic of the Congo | 0 1000 t | 2023 | down 100.0% | volatile |
| 100 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | volatile |
| 100 | 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 2,547 1000 t
- Asia 1,785 1000 t
- Southern Asia 770 1000 t
- Eastern Asia 397 1000 t
- South-Eastern Asia 390 1000 t
- Europe 340 1000 t
- Net Food Importing Developing Countries (NFIDCs) 326 1000 t
- European Union (27) 250 1000 t
- Americas 231 1000 t
- Western Asia 228 1000 t
- Africa 184 1000 t
- Western Europe 139 1000 t
- Least Developed Countries (LDCs) 129 1000 t
- South America 120 1000 t
- Eastern Europe 120 1000 t
- Low Income Food Deficit Countries (LIFDCs) 105 1000 t
- Western Africa 88 1000 t
- Central America 77 1000 t
- Land Locked Developing Countries (LLDCs) 66 1000 t
- Southern Europe 59 1000 t
- Northern Africa 45 1000 t
- Northern America 30 1000 t
- Eastern Africa 26 1000 t
- Southern Africa 25 1000 t
- United States of America 23 1000 t
- Northern Europe 21 1000 t
- Small island developing States (SIDS) 8 1000 t
- Oceania 6 1000 t
- Central Asia 1 1000 t
- Middle Africa 0 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.