Spices, Other — 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...
What the numbers show
Spices, Other — Import quantity is currently reported for 182 countries. The highest value is 205 1000 t in India; the lowest is 0 1000 t in Micronesia (Federated States of).
The median across all reporting countries is 2 1000 t, and the mean is 13.07 1000 t.
Over the past decade 77 countries rose and 10 fell. The largest increase was in China, mainland (up 5,233.3%), and the largest decrease in Congo (down 100.0%).
Spices, Other — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 205 1000 t | 2023 | up 135.6% | rising |
| 2 | Bangladesh | 174 1000 t | 2023 | up 104.7% | rising |
| 3 | China | 171 1000 t | 2023 | up 1,325.0% | volatile |
| 4 | China, mainland | 160 1000 t | 2023 | up 5,233.3% | volatile |
| 5 | Netherlands (Kingdom of the) | 133 1000 t | 2023 | up 84.7% | rising |
| 6 | United Arab Emirates | 131 1000 t | 2023 | up 52.3% | rising |
| 7 | Pakistan | 118 1000 t | 2023 | up 42.2% | rising |
| 8 | Saudi Arabia | 117 1000 t | 2023 | up 28.6% | rising |
| 9 | Malaysia | 114 1000 t | 2023 | up 44.3% | rising |
| 10 | Germany | 81 1000 t | 2023 | up 58.8% | rising |
| 11 | United Kingdom of Great Britain and Northern Ireland | 65 1000 t | 2023 | up 14.0% | rising |
| 12 | Viet Nam | 41 1000 t | 2023 | down 45.3% | volatile |
| 13 | Canada | 40 1000 t | 2023 | up 48.1% | rising |
| 14 | Indonesia | 38 1000 t | 2023 | up 8.6% | rising |
| 15 | Türkiye | 35 1000 t | 2023 | up 218.2% | volatile |
| 16 | France | 29 1000 t | 2023 | up 52.6% | rising |
| 16 | Morocco | 29 1000 t | 2023 | up 123.1% | rising |
| 16 | Yemen | 29 1000 t | 2023 | up 31.8% | rising |
| 19 | Spain | 26 1000 t | 2023 | up 160.0% | rising |
| 20 | Egypt | 25 1000 t | 2023 | down 30.6% | rising |
| 20 | Sri Lanka | 25 1000 t | 2023 | down 7.4% | rising |
| 22 | Belgium | 24 1000 t | 2023 | up 84.6% | rising |
| 23 | Nepal | 23 1000 t | 2023 | down 20.7% | rising |
| 23 | Poland | 23 1000 t | 2023 | up 130.0% | rising |
| 25 | Brazil | 21 1000 t | 2023 | up 61.5% | rising |
| 25 | Thailand | 21 1000 t | 2023 | up 61.5% | rising |
| 27 | Iran (Islamic Republic of) | 19 1000 t | 2023 | up 18.8% | rising |
| 28 | Oman | 18 1000 t | 2023 | up 63.6% | rising |
| 29 | Iraq | 17 1000 t | 2023 | up 1,600.0% | volatile |
| 30 | Italy | 16 1000 t | 2023 | up 100.0% | rising |
| 30 | Russian Federation | 16 1000 t | 2023 | up 6.7% | rising |
| 32 | Kuwait | 15 1000 t | 2023 | up 36.4% | rising |
| 33 | Qatar | 14 1000 t | 2023 | — | rising |
| 33 | Australia and New Zealand | 14 1000 t | 2023 | up 55.6% | rising |
| 35 | Algeria | 13 1000 t | 2023 | up 30.0% | rising |
| 35 | Mexico | 13 1000 t | 2023 | up 8.3% | rising |
| 37 | Austria | 12 1000 t | 2023 | up 33.3% | rising |
| 38 | Jordan | 11 1000 t | 2023 | up 57.1% | rising |
| 39 | Australia | 10 1000 t | 2023 | up 42.9% | rising |
| 39 | Sweden | 10 1000 t | 2023 | up 42.9% | rising |
| 39 | Caribbean | 10 1000 t | 2023 | up 11.1% | rising |
| 39 | Republic of Korea | 10 1000 t | 2023 | down 23.1% | flat |
| 43 | Syrian Arab Republic | 9 1000 t | 2023 | up 200.0% | rising |
| 44 | Czechia | 8 1000 t | 2023 | up 100.0% | rising |
| 44 | Denmark | 8 1000 t | 2023 | unchanged | rising |
| 44 | Libya | 8 1000 t | 2023 | up 166.7% | rising |
| 44 | Senegal | 8 1000 t | 2023 | up 700.0% | volatile |
| 48 | Bahrain | 7 1000 t | 2023 | — | rising |
| 48 | Tunisia | 7 1000 t | 2023 | unchanged | flat |
| 48 | Uzbekistan | 7 1000 t | 2023 | up 600.0% | volatile |
| 51 | Kazakhstan | 6 1000 t | 2023 | up 500.0% | volatile |
| 51 | Lithuania | 6 1000 t | 2023 | down 14.3% | falling |
| 51 | Nigeria | 6 1000 t | 2023 | up 20.0% | rising |
| 51 | Portugal | 6 1000 t | 2023 | up 100.0% | rising |
| 51 | China, Taiwan Province of | 6 1000 t | 2023 | up 20.0% | rising |
| 56 | Botswana | 5 1000 t | 2023 | up 25.0% | rising |
| 56 | Switzerland | 5 1000 t | 2023 | up 25.0% | rising |
| 56 | Guatemala | 5 1000 t | 2023 | up 400.0% | volatile |
| 56 | Israel | 5 1000 t | 2023 | up 25.0% | rising |
| 56 | Namibia | 5 1000 t | 2023 | up 25.0% | rising |
| 56 | Peru | 5 1000 t | 2023 | unchanged | rising |
| 56 | Romania | 5 1000 t | 2023 | up 66.7% | rising |
| 63 | Afghanistan | 4 1000 t | 2023 | — | volatile |
| 63 | Chile | 4 1000 t | 2023 | up 300.0% | volatile |
| 63 | Colombia | 4 1000 t | 2023 | up 33.3% | rising |
| 63 | Kenya | 4 1000 t | 2023 | up 100.0% | volatile |
| 63 | Lebanon | 4 1000 t | 2023 | up 100.0% | rising |
| 63 | Myanmar | 4 1000 t | 2023 | up 100.0% | volatile |
| 63 | New Zealand | 4 1000 t | 2023 | up 33.3% | rising |
| 63 | Philippines | 4 1000 t | 2023 | up 300.0% | volatile |
| 63 | Ukraine | 4 1000 t | 2023 | down 20.0% | rising |
| 63 | China, Hong Kong SAR | 4 1000 t | 2023 | up 33.3% | rising |
| 73 | Argentina | 3 1000 t | 2023 | up 50.0% | rising |
| 73 | Dominican Republic | 3 1000 t | 2023 | up 50.0% | rising |
| 73 | Greece | 3 1000 t | 2023 | up 50.0% | rising |
| 73 | Hungary | 3 1000 t | 2023 | up 50.0% | rising |
| 73 | Ireland | 3 1000 t | 2023 | up 50.0% | flat |
| 73 | Latvia | 3 1000 t | 2023 | up 200.0% | rising |
| 73 | Eswatini | 3 1000 t | 2023 | — | volatile |
| 80 | Azerbaijan | 2 1000 t | 2023 | up 100.0% | volatile |
| 80 | Bulgaria | 2 1000 t | 2023 | unchanged | rising |
| 80 | Djibouti | 2 1000 t | 2023 | — | volatile |
| 80 | Ecuador | 2 1000 t | 2023 | unchanged | rising |
| 80 | Estonia | 2 1000 t | 2023 | up 100.0% | rising |
| 80 | Ethiopia | 2 1000 t | 2023 | up 100.0% | volatile |
| 80 | Finland | 2 1000 t | 2023 | up 100.0% | rising |
| 80 | Georgia | 2 1000 t | 2023 | up 100.0% | rising |
| 80 | Ghana | 2 1000 t | 2023 | unchanged | rising |
| 80 | Croatia | 2 1000 t | 2023 | up 100.0% | volatile |
| 80 | Jamaica | 2 1000 t | 2023 | — | volatile |
| 80 | Lesotho | 2 1000 t | 2023 | up 100.0% | volatile |
| 80 | Maldives | 2 1000 t | 2023 | up 100.0% | rising |
| 80 | Mozambique | 2 1000 t | 2023 | — | rising |
| 80 | Mauritius | 2 1000 t | 2023 | up 100.0% | rising |
| 80 | Norway | 2 1000 t | 2023 | unchanged | rising |
| 80 | Slovakia | 2 1000 t | 2023 | unchanged | flat |
| 80 | Trinidad and Tobago | 2 1000 t | 2023 | down 33.3% | falling |
| 80 | Uganda | 2 1000 t | 2023 | up 100.0% | rising |
| 80 | Zambia | 2 1000 t | 2023 | up 100.0% | rising |
| 80 | Venezuela (Bolivarian Republic of) | 2 1000 t | 2023 | unchanged | volatile |
| 80 | United Republic of Tanzania | 2 1000 t | 2023 | up 100.0% | volatile |
| 80 | China, Macao SAR | 2 1000 t | 2023 | — | volatile |
| 103 | Angola | 1 1000 t | 2023 | — | volatile |
| 103 | Burkina Faso | 1 1000 t | 2023 | — | volatile |
| 103 | Bahamas | 1 1000 t | 2023 | unchanged | rising |
| 103 | Bosnia and Herzegovina | 1 1000 t | 2023 | — | volatile |
| 103 | Belarus | 1 1000 t | 2023 | down 50.0% | rising |
| 103 | Costa Rica | 1 1000 t | 2023 | unchanged | flat |
| 103 | Cuba | 1 1000 t | 2019 | unchanged | rising |
| 103 | Cyprus | 1 1000 t | 2023 | — | volatile |
| 103 | Fiji | 1 1000 t | 2023 | unchanged | rising |
| 103 | Guyana | 1 1000 t | 2023 | unchanged | rising |
| 103 | Honduras | 1 1000 t | 2023 | unchanged | rising |
| 103 | Kyrgyzstan | 1 1000 t | 2023 | — | volatile |
| 103 | Luxembourg | 1 1000 t | 2023 | unchanged | rising |
| 103 | North Macedonia | 1 1000 t | 2023 | — | volatile |
| 103 | Malawi | 1 1000 t | 2023 | — | volatile |
| 103 | Niger | 1 1000 t | 2023 | — | volatile |
| 103 | Panama | 1 1000 t | 2023 | unchanged | volatile |
| 103 | Paraguay | 1 1000 t | 2023 | unchanged | flat |
| 103 | El Salvador | 1 1000 t | 2023 | unchanged | rising |
| 103 | Serbia | 1 1000 t | 2023 | — | volatile |
| 103 | Slovenia | 1 1000 t | 2023 | unchanged | rising |
| 103 | Seychelles | 1 1000 t | 2023 | — | volatile |
| 103 | Uruguay | 1 1000 t | 2023 | — | volatile |
| 103 | Melanesia | 1 1000 t | 2023 | unchanged | flat |
| 103 | Democratic Republic of the Congo | 1 1000 t | 2023 | — | volatile |
| 103 | Bolivia (Plurinational State of) | 1 1000 t | 2023 | unchanged | falling |
| 103 | Republic of Moldova | 1 1000 t | 2023 | — | volatile |
| 103 | Côte d'Ivoire | 1 1000 t | 2023 | — | volatile |
| 103 | Lao People's Democratic Republic | 1 1000 t | 2023 | — | volatile |
| 132 | Albania | 0 1000 t | 2023 | — | flat |
| 132 | Armenia | 0 1000 t | 2023 | — | flat |
| 132 | Antigua and Barbuda | 0 1000 t | 2023 | — | volatile |
| 132 | Belize | 0 1000 t | 2023 | — | flat |
| 132 | Barbados | 0 1000 t | 2023 | — | flat |
| 132 | Bhutan | 0 1000 t | 2023 | — | flat |
| 132 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 132 | Congo | 0 1000 t | 2023 | down 100.0% | volatile |
| 132 | Comoros | 0 1000 t | 2023 | — | volatile |
| 132 | Gabon | 0 1000 t | 2023 | — | flat |
| 132 | Guinea | 0 1000 t | 2023 | — | flat |
| 132 | Gambia | 0 1000 t | 2023 | — | flat |
| 132 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 132 | Grenada | 0 1000 t | 2023 | — | flat |
| 132 | Haiti | 0 1000 t | 2023 | — | volatile |
| 132 | Iceland | 0 1000 t | 2023 | — | volatile |
| 132 | Cambodia | 0 1000 t | 2023 | — | flat |
| 132 | Kiribati | 0 1000 t | 2023 | — | flat |
| 132 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 132 | Liberia | 0 1000 t | 2023 | — | flat |
| 132 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 132 | Madagascar | 0 1000 t | 2023 | — | flat |
| 132 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 132 | Malta | 0 1000 t | 2023 | — | flat |
| 132 | Montenegro | 0 1000 t | 2023 | — | flat |
| 132 | Mongolia | 0 1000 t | 2023 | — | flat |
| 132 | Mauritania | 0 1000 t | 2023 | — | volatile |
| 132 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 132 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 132 | Nauru | 0 1000 t | 2023 | — | flat |
| 132 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 132 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 132 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 132 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 132 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 132 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 132 | Suriname | 0 1000 t | 2023 | — | volatile |
| 132 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 132 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 132 | Tonga | 0 1000 t | 2023 | — | flat |
| 132 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 132 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 132 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 132 | Samoa | 0 1000 t | 2023 | — | flat |
| 132 | Zimbabwe | 0 1000 t | 2023 | — | volatile |
| 132 | Micronesia | 0 1000 t | 2023 | — | flat |
| 132 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 132 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 132 | Polynesia | 0 1000 t | 2023 | — | flat |
| 132 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | volatile |
| 132 | Micronesia (Federated States of) | 0 1000 t | 2023 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 2,517 1000 t
- Asia 1,475 1000 t
- Southern Asia 570 1000 t
- Net Food Importing Developing Countries (NFIDCs) 537 1000 t
- Europe 512 1000 t
- Western Asia 417 1000 t
- European Union (27) 415 1000 t
- Americas 335 1000 t
- Western Europe 285 1000 t
- Least Developed Countries (LDCs) 283 1000 t
- Northern America 258 1000 t
- Eastern Asia 250 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.