Spices, Other — Domestic supply 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 — Domestic supply quantity is currently reported for 161 countries. The highest value is 4,561 1000 t in India; the lowest is -18 1000 t in Bulgaria.
The median across all reporting countries is 4 1000 t, and the mean is 70.37 1000 t.
The gap between the highest and lowest reporting country is a factor of about 253.
Over the past decade 75 countries rose and 28 fell. The largest increase was in Guatemala (up 1,850.0%), and the largest decrease in Myanmar (down 633.3%).
Spices, Other — Domestic supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 4,561 1000 t | 2023 | up 93.7% | rising |
| 2 | Nigeria | 736 1000 t | 2023 | up 56.9% | rising |
| 3 | Bangladesh | 545 1000 t | 2023 | up 71.4% | rising |
| 4 | Turkey | 544 1000 t | 2023 | up 192.5% | volatile |
| 4 | Türkiye | 544 1000 t | 2023 | up 192.5% | volatile |
| 6 | China | 500 1000 t | 2023 | up 74.8% | rising |
| 7 | China, mainland | 466 1000 t | 2023 | up 84.2% | rising |
| 8 | Indonesia | 405 1000 t | 2023 | up 11.3% | rising |
| 9 | Nepal | 341 1000 t | 2023 | up 37.5% | rising |
| 10 | Ethiopia | 290 1000 t | 2023 | unchanged | rising |
| 11 | Yemen | 243 1000 t | 2023 | up 10.0% | rising |
| 12 | Pakistan | 209 1000 t | 2023 | up 50.4% | rising |
| 13 | United States | 189 1000 t | 2023 | up 43.2% | rising |
| 14 | Mexico | 131 1000 t | 2023 | up 79.5% | rising |
| 15 | Malaysia | 113 1000 t | 2023 | up 39.5% | rising |
| 16 | Thailand | 103 1000 t | 2023 | down 30.4% | falling |
| 17 | Saudi Arabia | 97 1000 t | 2023 | up 11.5% | rising |
| 18 | Sri Lanka | 93 1000 t | 2023 | up 102.2% | rising |
| 19 | Iran (Islamic Republic of) | 70 1000 t | 2023 | up 118.8% | rising |
| 20 | Morocco | 56 1000 t | 2023 | up 60.0% | rising |
| 21 | United Kingdom | 53 1000 t | 2023 | up 12.8% | rising |
| 21 | United Kingdom of Great Britain and Northern Ireland | 53 1000 t | 2023 | up 12.8% | rising |
| 23 | Cameroon | 52 1000 t | 2023 | down 3.7% | rising |
| 24 | Germany | 48 1000 t | 2023 | up 41.2% | rising |
| 25 | United Arab Emirates | 41 1000 t | 2023 | down 43.1% | falling |
| 26 | Syria | 40 1000 t | 2023 | up 207.7% | volatile |
| 26 | Syrian Arab Republic | 40 1000 t | 2023 | up 207.7% | volatile |
| 28 | Canada | 39 1000 t | 2023 | up 39.3% | rising |
| 28 | Guatemala | 39 1000 t | 2023 | up 1,850.0% | volatile |
| 30 | Guyana | 35 1000 t | 2023 | up 1,066.7% | volatile |
| 31 | Philippines | 33 1000 t | 2023 | up 10.0% | rising |
| 32 | Republic of Korea | 31 1000 t | 2023 | up 93.8% | rising |
| 32 | Netherlands (Kingdom of the) | 31 1000 t | 2023 | up 287.5% | volatile |
| 34 | China, Taiwan Province of | 28 1000 t | 2023 | down 6.7% | falling |
| 35 | Russia | 26 1000 t | 2023 | up 100.0% | volatile |
| 35 | Russian Federation | 26 1000 t | 2023 | up 100.0% | volatile |
| 37 | France | 23 1000 t | 2023 | up 91.7% | rising |
| 37 | Kenya | 23 1000 t | 2023 | up 1,050.0% | volatile |
| 39 | Colombia | 22 1000 t | 2023 | up 37.5% | rising |
| 40 | Tunisia | 21 1000 t | 2023 | unchanged | falling |
| 41 | Egypt | 19 1000 t | 2023 | down 56.8% | falling |
| 41 | Australia and New Zealand | 19 1000 t | 2023 | up 111.1% | rising |
| 43 | Iraq | 16 1000 t | 2023 | up 700.0% | volatile |
| 44 | Australia | 15 1000 t | 2023 | up 200.0% | rising |
| 44 | Oman | 15 1000 t | 2023 | up 36.4% | rising |
| 46 | Belgium | 14 1000 t | 2023 | up 100.0% | rising |
| 46 | Kuwait | 14 1000 t | 2023 | up 40.0% | rising |
| 46 | Qatar | 14 1000 t | 2023 | — | flat |
| 49 | Algeria | 13 1000 t | 2023 | up 30.0% | rising |
| 49 | Poland | 13 1000 t | 2023 | up 333.3% | volatile |
| 51 | Caribbean | 12 1000 t | 2023 | unchanged | flat |
| 52 | Vietnam | 11 1000 t | 2023 | down 82.5% | volatile |
| 52 | Melanesia | 11 1000 t | 2023 | up 37.5% | rising |
| 52 | Viet Nam | 11 1000 t | 2023 | down 82.5% | volatile |
| 55 | Fiji | 10 1000 t | 2023 | up 42.9% | rising |
| 55 | Libya | 10 1000 t | 2023 | up 233.3% | volatile |
| 57 | Jordan | 9 1000 t | 2023 | up 200.0% | rising |
| 58 | Afghanistan | 8 1000 t | 2023 | up 33.3% | rising |
| 58 | Burkina Faso | 8 1000 t | 2023 | up 33.3% | rising |
| 58 | Laos | 8 1000 t | 2023 | up 166.7% | volatile |
| 58 | Senegal | 8 1000 t | 2023 | up 700.0% | volatile |
| 58 | Sweden | 8 1000 t | 2023 | up 33.3% | rising |
| 58 | Lao People's Democratic Republic | 8 1000 t | 2023 | up 166.7% | volatile |
| 64 | Bhutan | 7 1000 t | 2023 | — | falling |
| 65 | Argentina | 6 1000 t | 2023 | up 200.0% | rising |
| 65 | Austria | 6 1000 t | 2023 | up 20.0% | rising |
| 65 | Bahrain | 6 1000 t | 2023 | — | flat |
| 65 | Denmark | 6 1000 t | 2023 | down 14.3% | rising |
| 65 | Niger | 6 1000 t | 2023 | up 20.0% | rising |
| 65 | Peru | 6 1000 t | 2023 | unchanged | flat |
| 65 | Uzbekistan | 6 1000 t | 2023 | up 500.0% | volatile |
| 72 | Botswana | 5 1000 t | 2023 | up 66.7% | rising |
| 72 | Switzerland | 5 1000 t | 2023 | up 25.0% | rising |
| 72 | Israel | 5 1000 t | 2023 | up 66.7% | rising |
| 72 | Kazakhstan | 5 1000 t | 2023 | up 400.0% | volatile |
| 72 | Portugal | 5 1000 t | 2023 | up 400.0% | volatile |
| 72 | Democratic Republic of the Congo | 5 1000 t | 2023 | up 400.0% | volatile |
| 78 | Mauritius | 4 1000 t | 2023 | up 100.0% | rising |
| 78 | Namibia | 4 1000 t | 2023 | up 33.3% | rising |
| 78 | New Zealand | 4 1000 t | 2023 | up 33.3% | rising |
| 78 | Zambia | 4 1000 t | 2023 | unchanged | flat |
| 78 | Bolivia (Plurinational State of) | 4 1000 t | 2023 | up 33.3% | rising |
| 78 | China, Hong Kong SAR | 4 1000 t | 2023 | up 33.3% | rising |
| 84 | Chile | 3 1000 t | 2023 | up 50.0% | rising |
| 84 | Czechia | 3 1000 t | 2023 | up 50.0% | rising |
| 84 | Dominican Republic | 3 1000 t | 2023 | unchanged | rising |
| 84 | Ireland | 3 1000 t | 2023 | up 50.0% | rising |
| 84 | Madagascar | 3 1000 t | 2023 | up 50.0% | volatile |
| 84 | Panama | 3 1000 t | 2023 | up 200.0% | volatile |
| 84 | Eswatini | 3 1000 t | 2023 | — | volatile |
| 84 | Ukraine | 3 1000 t | 2023 | down 50.0% | volatile |
| 92 | Ghana | 2 1000 t | 2023 | up 100.0% | volatile |
| 92 | Greece | 2 1000 t | 2023 | down 33.3% | flat |
| 92 | Hungary | 2 1000 t | 2023 | down 71.4% | falling |
| 92 | Jamaica | 2 1000 t | 2023 | unchanged | falling |
| 92 | Lebanon | 2 1000 t | 2023 | unchanged | rising |
| 92 | Lesotho | 2 1000 t | 2023 | unchanged | volatile |
| 92 | Maldives | 2 1000 t | 2023 | up 100.0% | rising |
| 92 | Malawi | 2 1000 t | 2023 | up 100.0% | rising |
| 92 | Norway | 2 1000 t | 2023 | unchanged | rising |
| 92 | Romania | 2 1000 t | 2023 | down 66.7% | volatile |
| 92 | Sierra Leone | 2 1000 t | 2023 | unchanged | flat |
| 92 | Trinidad and Tobago | 2 1000 t | 2023 | down 50.0% | falling |
| 92 | Venezuela (Bolivarian Republic of) | 2 1000 t | 2023 | unchanged | volatile |
| 92 | United Republic of Tanzania | 2 1000 t | 2023 | unchanged | volatile |
| 92 | China, Macao SAR | 2 1000 t | 2023 | — | volatile |
| 107 | Angola | 1 1000 t | 2023 | — | volatile |
| 107 | Azerbaijan | 1 1000 t | 2023 | unchanged | rising |
| 107 | Bahamas | 1 1000 t | 2023 | unchanged | falling |
| 107 | Bosnia and Herzegovina | 1 1000 t | 2023 | unchanged | rising |
| 107 | Belarus | 1 1000 t | 2023 | unchanged | rising |
| 107 | Costa Rica | 1 1000 t | 2023 | — | volatile |
| 107 | Cuba | 1 1000 t | 2019 | unchanged | rising |
| 107 | Cyprus | 1 1000 t | 2023 | — | volatile |
| 107 | Djibouti | 1 1000 t | 2023 | — | volatile |
| 107 | Ecuador | 1 1000 t | 2023 | down 66.7% | falling |
| 107 | Estonia | 1 1000 t | 2023 | — | volatile |
| 107 | Finland | 1 1000 t | 2023 | unchanged | rising |
| 107 | Georgia | 1 1000 t | 2023 | unchanged | falling |
| 107 | Grenada | 1 1000 t | 2023 | — | volatile |
| 107 | Croatia | 1 1000 t | 2023 | — | volatile |
| 107 | Kyrgyzstan | 1 1000 t | 2023 | — | volatile |
| 107 | Luxembourg | 1 1000 t | 2023 | unchanged | rising |
| 107 | Latvia | 1 1000 t | 2023 | unchanged | volatile |
| 107 | Moldova | 1 1000 t | 2023 | — | volatile |
| 107 | North Macedonia | 1 1000 t | 2023 | unchanged | rising |
| 107 | Mozambique | 1 1000 t | 2023 | — | volatile |
| 107 | Papua New Guinea | 1 1000 t | 2023 | unchanged | flat |
| 107 | Paraguay | 1 1000 t | 2023 | unchanged | flat |
| 107 | El Salvador | 1 1000 t | 2023 | — | volatile |
| 107 | Serbia | 1 1000 t | 2023 | unchanged | volatile |
| 107 | Slovakia | 1 1000 t | 2023 | down 50.0% | falling |
| 107 | Seychelles | 1 1000 t | 2023 | — | volatile |
| 107 | Uruguay | 1 1000 t | 2023 | — | volatile |
| 107 | Zimbabwe | 1 1000 t | 2023 | unchanged | flat |
| 107 | Polynesia | 1 1000 t | 2023 | — | volatile |
| 107 | Republic of Moldova | 1 1000 t | 2023 | — | volatile |
| 138 | Antigua and Barbuda | 0 1000 t | 2023 | — | volatile |
| 138 | Comoros | 0 1000 t | 2023 | — | volatile |
| 138 | Honduras | 0 1000 t | 2023 | down 100.0% | volatile |
| 138 | Mauritania | 0 1000 t | 2023 | — | volatile |
| 138 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 138 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 138 | Slovenia | 0 1000 t | 2023 | down 100.0% | falling |
| 138 | Turkmenistan | 0 1000 t | 2023 | — | volatile |
| 138 | East Timor | 0 1000 t | 2023 | down 100.0% | volatile |
| 138 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | volatile |
| 138 | Timor-Leste | 0 1000 t | 2023 | down 100.0% | volatile |
| 138 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | volatile |
| 183 | Albania | -1 1000 t | 2023 | — | volatile |
| 183 | Cambodia | -1 1000 t | 2023 | — | volatile |
| 183 | Lithuania | -1 1000 t | 2023 | down 150.0% | volatile |
| 186 | Cote d'Ivoire | -2 1000 t | 2023 | down 133.3% | volatile |
| 186 | Uganda | -2 1000 t | 2023 | down 300.0% | volatile |
| 186 | Côte d'Ivoire | -2 1000 t | 2023 | down 133.3% | volatile |
| 189 | South Africa | -4 1000 t | 2023 | unchanged | volatile |
| 190 | Spain | -5 1000 t | 2023 | down 183.3% | volatile |
| 190 | Italy | -5 1000 t | 2023 | down 225.0% | volatile |
| 192 | Brazil | -15 1000 t | 2023 | down 314.3% | volatile |
| 193 | Myanmar | -16 1000 t | 2023 | down 633.3% | volatile |
| 194 | Bulgaria | -18 1000 t | 2023 | down 550.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 10,286 1000 t
- Asia 8,201 1000 t
- Southern Asia 5,835 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,992 1000 t
- Least Developed Countries (LDCs) 1,520 1000 t
- Africa 1,334 1000 t
- Low Income Food Deficit Countries (LIFDCs) 1,102 1000 t
- Western Asia 1,054 1000 t
- Western Africa 806 1000 t
- Land Locked Developing Countries (LLDCs) 751 1000 t
- South-Eastern Asia 656 1000 t
- Eastern Asia 643 1000 t
- Americas 481 1000 t
- Eastern Africa 336 1000 t
- Europe 239 1000 t
- Northern America 229 1000 t
- United States of America 189 1000 t
- Central America 175 1000 t
- European Union (27) 145 1000 t
- Western Europe 127 1000 t
- Northern Africa 123 1000 t
- Northern Europe 74 1000 t
- South America 66 1000 t
- Small island developing States (SIDS) 66 1000 t
- Middle Africa 58 1000 t
- Eastern Europe 35 1000 t
- Oceania 31 1000 t
- Central Asia 13 1000 t
- Southern Africa 11 1000 t
- Southern Europe 2 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.