Spices — Import 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...
Countries reporting
163
Highest
480 1000 t
United States
Lowest
0 1000 t
Zimbabwe
Median
5 1000 t
Years covered
14
2010–2023
Data points
3,045
What the numbers show
Spices — Import quantity is currently reported for 163 countries. The highest value is 480 1000 t in United States; the lowest is 0 1000 t in Zimbabwe.
The median across all reporting countries is 5 1000 t, and the mean is 28.28 1000 t.
Over the past decade 93 countries rose and 13 fell. The largest increase was in China, mainland (up 2,772.7%), and the largest decrease in Congo (down 100.0%).
Spices — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | United States | 480 1000 t | 2023 | up 42.0% | rising |
| 2 | China | 338 1000 t | 2023 | up 1,107.1% | volatile |
| 3 | China, mainland | 316 1000 t | 2023 | up 2,772.7% | volatile |
| 4 | India | 268 1000 t | 2023 | up 133.0% | rising |
| 5 | Bangladesh | 247 1000 t | 2023 | up 116.7% | rising |
| 6 | Malaysia | 171 1000 t | 2023 | up 30.5% | rising |
| 7 | United Arab Emirates | 170 1000 t | 2023 | up 46.6% | rising |
| 8 | Netherlands (Kingdom of the) | 156 1000 t | 2023 | up 60.8% | rising |
| 9 | Pakistan | 135 1000 t | 2023 | up 48.4% | rising |
| 10 | Saudi Arabia | 132 1000 t | 2023 | up 30.7% | rising |
| 11 | Germany | 127 1000 t | 2023 | up 24.5% | rising |
| 12 | Thailand | 113 1000 t | 2023 | up 63.8% | rising |
| 13 | Spain | 107 1000 t | 2023 | up 101.9% | rising |
| 13 | Indonesia | 107 1000 t | 2023 | up 91.1% | rising |
| 15 | United Kingdom | 91 1000 t | 2023 | up 13.8% | rising |
| 15 | United Kingdom of Great Britain and Northern Ireland | 91 1000 t | 2023 | up 13.8% | rising |
| 17 | Vietnam | 76 1000 t | 2023 | down 1.3% | volatile |
| 17 | Viet Nam | 76 1000 t | 2023 | down 1.3% | volatile |
| 19 | Mexico | 72 1000 t | 2023 | up 100.0% | rising |
| 20 | Sri Lanka | 65 1000 t | 2023 | down 8.5% | rising |
| 21 | Canada | 60 1000 t | 2023 | up 53.8% | rising |
| 22 | Turkey | 51 1000 t | 2023 | up 168.4% | rising |
| 22 | Türkiye | 51 1000 t | 2023 | up 168.4% | rising |
| 24 | France | 48 1000 t | 2023 | up 45.5% | rising |
| 25 | Republic of Korea | 38 1000 t | 2023 | up 65.2% | rising |
| 26 | Morocco | 37 1000 t | 2023 | up 146.7% | volatile |
| 26 | Poland | 37 1000 t | 2023 | up 68.2% | rising |
| 28 | Egypt | 36 1000 t | 2023 | down 25.0% | rising |
| 29 | South Africa | 35 1000 t | 2023 | up 45.8% | rising |
| 30 | Nepal | 33 1000 t | 2023 | down 10.8% | rising |
| 31 | Yemen | 32 1000 t | 2023 | up 39.1% | volatile |
| 32 | Belgium | 30 1000 t | 2023 | up 57.9% | rising |
| 32 | Kazakhstan | 30 1000 t | 2023 | up 900.0% | volatile |
| 34 | Russia | 28 1000 t | 2023 | down 9.7% | rising |
| 34 | Russian Federation | 28 1000 t | 2023 | down 9.7% | rising |
| 36 | Brazil | 27 1000 t | 2023 | up 80.0% | rising |
| 37 | Australia and New Zealand | 25 1000 t | 2023 | up 47.1% | rising |
| 38 | Italy | 24 1000 t | 2023 | up 71.4% | rising |
| 38 | Iran (Islamic Republic of) | 24 1000 t | 2023 | up 26.3% | rising |
| 40 | Iraq | 23 1000 t | 2023 | up 2,200.0% | volatile |
| 41 | Algeria | 21 1000 t | 2023 | up 10.5% | rising |
| 41 | Oman | 21 1000 t | 2023 | up 50.0% | rising |
| 43 | Austria | 20 1000 t | 2023 | up 33.3% | rising |
| 44 | Australia | 19 1000 t | 2023 | up 46.2% | rising |
| 45 | Kuwait | 18 1000 t | 2023 | up 38.5% | rising |
| 46 | Qatar | 17 1000 t | 2023 | — | flat |
| 47 | Sweden | 14 1000 t | 2023 | up 27.3% | rising |
| 47 | Caribbean | 14 1000 t | 2023 | up 27.3% | rising |
| 49 | Czechia | 13 1000 t | 2023 | up 62.5% | rising |
| 49 | Jordan | 13 1000 t | 2023 | up 62.5% | rising |
| 49 | China, Taiwan Province of | 13 1000 t | 2023 | up 8.3% | rising |
| 52 | Libya | 12 1000 t | 2023 | up 9.1% | rising |
| 52 | Philippines | 12 1000 t | 2023 | up 140.0% | volatile |
| 52 | Tunisia | 12 1000 t | 2023 | up 9.1% | rising |
| 55 | Denmark | 10 1000 t | 2023 | unchanged | rising |
| 55 | Israel | 10 1000 t | 2023 | up 42.9% | rising |
| 55 | Romania | 10 1000 t | 2023 | up 100.0% | rising |
| 55 | Senegal | 10 1000 t | 2023 | up 400.0% | volatile |
| 55 | Syria | 10 1000 t | 2023 | up 150.0% | rising |
| 55 | Syrian Arab Republic | 10 1000 t | 2023 | up 150.0% | rising |
| 61 | Switzerland | 9 1000 t | 2023 | up 50.0% | rising |
| 62 | Bahrain | 8 1000 t | 2023 | — | flat |
| 62 | Hungary | 8 1000 t | 2023 | up 33.3% | rising |
| 62 | Nigeria | 8 1000 t | 2023 | up 33.3% | rising |
| 62 | Portugal | 8 1000 t | 2023 | up 100.0% | rising |
| 62 | Ukraine | 8 1000 t | 2023 | down 20.0% | rising |
| 62 | Uzbekistan | 8 1000 t | 2023 | up 700.0% | volatile |
| 62 | Democratic People's Republic of Korea | 8 1000 t | 2018 | — | volatile |
| 69 | Argentina | 7 1000 t | 2023 | up 75.0% | rising |
| 69 | Guatemala | 7 1000 t | 2023 | up 133.3% | rising |
| 69 | Lithuania | 7 1000 t | 2023 | unchanged | falling |
| 69 | Peru | 7 1000 t | 2023 | up 16.7% | rising |
| 69 | China, Hong Kong SAR | 7 1000 t | 2023 | up 40.0% | rising |
| 74 | Afghanistan | 6 1000 t | 2023 | — | volatile |
| 74 | Botswana | 6 1000 t | 2023 | up 50.0% | rising |
| 74 | Chile | 6 1000 t | 2023 | up 100.0% | rising |
| 74 | Colombia | 6 1000 t | 2023 | up 50.0% | rising |
| 74 | Greece | 6 1000 t | 2023 | up 50.0% | rising |
| 74 | New Zealand | 6 1000 t | 2023 | up 50.0% | rising |
| 80 | Bulgaria | 5 1000 t | 2023 | up 25.0% | rising |
| 80 | Ireland | 5 1000 t | 2023 | up 66.7% | rising |
| 80 | Kenya | 5 1000 t | 2023 | up 66.7% | volatile |
| 80 | Lebanon | 5 1000 t | 2023 | up 25.0% | rising |
| 80 | Myanmar | 5 1000 t | 2023 | up 66.7% | volatile |
| 80 | Namibia | 5 1000 t | 2023 | up 25.0% | rising |
| 86 | Dominican Republic | 4 1000 t | 2023 | up 33.3% | rising |
| 86 | Ghana | 4 1000 t | 2023 | up 100.0% | volatile |
| 86 | Croatia | 4 1000 t | 2023 | up 100.0% | rising |
| 86 | Latvia | 4 1000 t | 2023 | up 100.0% | rising |
| 86 | Norway | 4 1000 t | 2023 | up 100.0% | rising |
| 86 | Slovakia | 4 1000 t | 2023 | down 20.0% | flat |
| 86 | Slovenia | 4 1000 t | 2023 | up 100.0% | rising |
| 93 | Azerbaijan | 3 1000 t | 2023 | up 200.0% | rising |
| 93 | Ecuador | 3 1000 t | 2023 | unchanged | rising |
| 93 | Estonia | 3 1000 t | 2023 | unchanged | rising |
| 93 | Ethiopia | 3 1000 t | 2023 | up 50.0% | volatile |
| 93 | Finland | 3 1000 t | 2023 | up 50.0% | rising |
| 93 | Georgia | 3 1000 t | 2023 | up 200.0% | rising |
| 93 | Kyrgyzstan | 3 1000 t | 2023 | — | volatile |
| 93 | Maldives | 3 1000 t | 2023 | up 50.0% | rising |
| 93 | Eswatini | 3 1000 t | 2023 | — | volatile |
| 93 | Trinidad and Tobago | 3 1000 t | 2023 | down 25.0% | falling |
| 93 | Venezuela (Bolivarian Republic of) | 3 1000 t | 2023 | up 50.0% | volatile |
| 104 | Burkina Faso | 2 1000 t | 2023 | — | volatile |
| 104 | Belarus | 2 1000 t | 2023 | unchanged | rising |
| 104 | Cote d'Ivoire | 2 1000 t | 2023 | — | volatile |
| 104 | Costa Rica | 2 1000 t | 2023 | unchanged | rising |
| 104 | Cuba | 2 1000 t | 2019 | up 100.0% | rising |
| 104 | Djibouti | 2 1000 t | 2023 | up 100.0% | volatile |
| 104 | Honduras | 2 1000 t | 2023 | up 100.0% | rising |
| 104 | Jamaica | 2 1000 t | 2023 | up 100.0% | rising |
| 104 | Laos | 2 1000 t | 2023 | — | volatile |
| 104 | Lesotho | 2 1000 t | 2023 | up 100.0% | volatile |
| 104 | Mozambique | 2 1000 t | 2023 | — | volatile |
| 104 | Mauritius | 2 1000 t | 2023 | unchanged | flat |
| 104 | Niger | 2 1000 t | 2023 | — | volatile |
| 104 | El Salvador | 2 1000 t | 2023 | up 100.0% | rising |
| 104 | Serbia | 2 1000 t | 2023 | up 100.0% | rising |
| 104 | Uganda | 2 1000 t | 2023 | up 100.0% | rising |
| 104 | Zambia | 2 1000 t | 2023 | up 100.0% | rising |
| 104 | Côte d'Ivoire | 2 1000 t | 2023 | — | volatile |
| 104 | Lao People's Democratic Republic | 2 1000 t | 2023 | — | volatile |
| 104 | United Republic of Tanzania | 2 1000 t | 2023 | up 100.0% | volatile |
| 104 | China, Macao SAR | 2 1000 t | 2023 | — | volatile |
| 125 | Angola | 1 1000 t | 2023 | unchanged | volatile |
| 125 | Albania | 1 1000 t | 2023 | — | volatile |
| 125 | Armenia | 1 1000 t | 2023 | — | volatile |
| 125 | Bahamas | 1 1000 t | 2023 | unchanged | rising |
| 125 | Bosnia and Herzegovina | 1 1000 t | 2023 | unchanged | flat |
| 125 | Barbados | 1 1000 t | 2023 | — | volatile |
| 125 | Cyprus | 1 1000 t | 2023 | — | volatile |
| 125 | Fiji | 1 1000 t | 2023 | unchanged | flat |
| 125 | Guyana | 1 1000 t | 2023 | unchanged | flat |
| 125 | Haiti | 1 1000 t | 2023 | — | volatile |
| 125 | Iceland | 1 1000 t | 2023 | — | volatile |
| 125 | Cambodia | 1 1000 t | 2023 | unchanged | volatile |
| 125 | Luxembourg | 1 1000 t | 2023 | unchanged | flat |
| 125 | Moldova | 1 1000 t | 2023 | — | volatile |
| 125 | North Macedonia | 1 1000 t | 2023 | unchanged | rising |
| 125 | Mauritania | 1 1000 t | 2023 | — | volatile |
| 125 | Malawi | 1 1000 t | 2023 | — | volatile |
| 125 | Nicaragua | 1 1000 t | 2023 | — | volatile |
| 125 | Panama | 1 1000 t | 2023 | unchanged | flat |
| 125 | Paraguay | 1 1000 t | 2023 | unchanged | flat |
| 125 | Seychelles | 1 1000 t | 2023 | — | volatile |
| 125 | Tajikistan | 1 1000 t | 2023 | — | volatile |
| 125 | Uruguay | 1 1000 t | 2023 | unchanged | flat |
| 125 | Melanesia | 1 1000 t | 2023 | unchanged | volatile |
| 125 | Democratic Republic of the Congo | 1 1000 t | 2023 | — | volatile |
| 125 | Bolivia (Plurinational State of) | 1 1000 t | 2023 | unchanged | rising |
| 125 | Republic of Moldova | 1 1000 t | 2023 | — | volatile |
| 152 | Antigua and Barbuda | 0 1000 t | 2023 | — | volatile |
| 152 | Bhutan | 0 1000 t | 2023 | — | volatile |
| 152 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 152 | Congo | 0 1000 t | 2023 | down 100.0% | volatile |
| 152 | Comoros | 0 1000 t | 2023 | — | volatile |
| 152 | Gambia | 0 1000 t | 2023 | — | volatile |
| 152 | Liberia | 0 1000 t | 2023 | — | volatile |
| 152 | Madagascar | 0 1000 t | 2023 | down 100.0% | volatile |
| 152 | Papua New Guinea | 0 1000 t | 2023 | — | volatile |
| 152 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 152 | Suriname | 0 1000 t | 2023 | — | volatile |
| 152 | Zimbabwe | 0 1000 t | 2023 | down 100.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 4,089 1000 t
- Asia 2,301 1000 t
- Europe 811 1000 t
- Southern Asia 782 1000 t
- Net Food Importing Developing Countries (NFIDCs) 733 1000 t
- Americas 705 1000 t
- European Union (27) 663 1000 t
- Northern America 541 1000 t
- Western Asia 518 1000 t
- South-Eastern Asia 487 1000 t
- United States of America 480 1000 t
- Eastern Asia 473 1000 t
- Western Europe 391 1000 t
- Least Developed Countries (LDCs) 384 1000 t
- Africa 247 1000 t
- Southern Europe 160 1000 t
- Low Income Food Deficit Countries (LIFDCs) 155 1000 t
- Northern Europe 143 1000 t
- Northern Africa 124 1000 t
- Land Locked Developing Countries (LLDCs) 120 1000 t
- Eastern Europe 117 1000 t
- Central America 87 1000 t
- South America 63 1000 t
- Southern Africa 51 1000 t
- Central Asia 42 1000 t
- Western Africa 37 1000 t
- Eastern Africa 31 1000 t
- Oceania 26 1000 t
- Small island developing States (SIDS) 23 1000 t
- Middle Africa 3 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.