Spices — Losses 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 — Losses is currently reported for 63 countries. The highest value is 264 1000 t in India; the lowest is 0 1000 t in Bulgaria.
The median across all reporting countries is 3 1000 t, and the mean is 17.83 1000 t.
Over the past decade 34 countries rose and 4 fell. The largest increase was in Russia (up 300.0%), and the largest decrease in Bulgaria (down 100.0%).
Spices — Losses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 264 1000 t | 2023 | up 94.1% | rising |
| 2 | China | 117 1000 t | 2023 | up 62.5% | rising |
| 3 | China, mainland | 115 1000 t | 2023 | up 64.3% | rising |
| 4 | Nigeria | 82 1000 t | 2023 | up 54.7% | rising |
| 5 | Bangladesh | 71 1000 t | 2023 | up 173.1% | rising |
| 6 | Indonesia | 59 1000 t | 2023 | up 31.1% | rising |
| 7 | Nepal | 54 1000 t | 2023 | up 31.7% | rising |
| 8 | Ethiopia | 43 1000 t | 2023 | up 16.2% | rising |
| 9 | Guatemala | 36 1000 t | 2023 | up 157.1% | rising |
| 10 | Thailand | 34 1000 t | 2023 | up 25.9% | rising |
| 11 | Vietnam | 26 1000 t | 2023 | up 85.7% | rising |
| 11 | Viet Nam | 26 1000 t | 2023 | up 85.7% | rising |
| 13 | Türkiye | 22 1000 t | 2023 | up 100.0% | rising |
| 13 | Turkey | 22 1000 t | 2023 | up 100.0% | rising |
| 15 | Sri Lanka | 13 1000 t | 2023 | up 85.7% | rising |
| 16 | Pakistan | 12 1000 t | 2023 | up 9.1% | rising |
| 17 | Mexico | 11 1000 t | 2023 | up 57.1% | rising |
| 18 | Myanmar | 10 1000 t | 2023 | up 66.7% | rising |
| 19 | Cameroon | 8 1000 t | 2023 | up 33.3% | rising |
| 20 | Brazil | 7 1000 t | 2023 | up 250.0% | rising |
| 21 | Côte d'Ivoire | 5 1000 t | 2023 | up 25.0% | rising |
| 21 | Egypt | 5 1000 t | 2023 | up 25.0% | rising |
| 21 | Canada | 5 1000 t | 2023 | up 25.0% | rising |
| 21 | Cote d'Ivoire | 5 1000 t | 2023 | up 25.0% | rising |
| 25 | Russia | 4 1000 t | 2023 | up 300.0% | rising |
| 25 | Peru | 4 1000 t | 2023 | up 33.3% | rising |
| 25 | Ghana | 4 1000 t | 2023 | down 20.0% | falling |
| 25 | Russian Federation | 4 1000 t | 2023 | up 300.0% | rising |
| 29 | Syrian Arab Republic | 3 1000 t | 2023 | unchanged | rising |
| 29 | Iran (Islamic Republic of) | 3 1000 t | 2023 | up 50.0% | rising |
| 29 | Tunisia | 3 1000 t | 2023 | up 50.0% | rising |
| 29 | Syria | 3 1000 t | 2023 | unchanged | rising |
| 29 | Philippines | 3 1000 t | 2023 | unchanged | flat |
| 29 | Niger | 3 1000 t | 2023 | up 200.0% | volatile |
| 29 | Malaysia | 3 1000 t | 2023 | up 50.0% | rising |
| 29 | Guyana | 3 1000 t | 2023 | — | volatile |
| 37 | Melanesia | 2 1000 t | 2023 | up 100.0% | volatile |
| 37 | Democratic Republic of the Congo | 2 1000 t | 2023 | unchanged | flat |
| 37 | Caribbean | 2 1000 t | 2023 | — | volatile |
| 37 | Madagascar | 2 1000 t | 2023 | up 100.0% | rising |
| 37 | Colombia | 2 1000 t | 2023 | up 100.0% | rising |
| 42 | Lao People's Democratic Republic | 1 1000 t | 2023 | unchanged | flat |
| 42 | United Republic of Tanzania | 1 1000 t | 2023 | unchanged | flat |
| 42 | Burkina Faso | 1 1000 t | 2023 | unchanged | flat |
| 42 | China, Taiwan Province of | 1 1000 t | 2023 | down 50.0% | volatile |
| 42 | Afghanistan | 1 1000 t | 2023 | unchanged | flat |
| 42 | Morocco | 1 1000 t | 2023 | unchanged | falling |
| 42 | Comoros | 1 1000 t | 2023 | unchanged | flat |
| 42 | Algeria | 1 1000 t | 2023 | unchanged | flat |
| 42 | Fiji | 1 1000 t | 2023 | unchanged | volatile |
| 42 | Hungary | 1 1000 t | 2023 | down 50.0% | volatile |
| 42 | Jamaica | 1 1000 t | 2023 | unchanged | flat |
| 42 | Kenya | 1 1000 t | 2023 | — | volatile |
| 42 | Cambodia | 1 1000 t | 2023 | unchanged | flat |
| 42 | Laos | 1 1000 t | 2023 | unchanged | flat |
| 42 | Republic of Korea | 1 1000 t | 2023 | — | volatile |
| 42 | Tajikistan | 1 1000 t | 2023 | — | volatile |
| 42 | Uzbekistan | 1 1000 t | 2023 | — | volatile |
| 42 | Bhutan | 1 1000 t | 2023 | — | falling |
| 42 | South Africa | 1 1000 t | 2023 | unchanged | flat |
| 42 | Zimbabwe | 1 1000 t | 2023 | — | volatile |
| 42 | Bosnia and Herzegovina | 1 1000 t | 2023 | unchanged | flat |
| 63 | Bulgaria | 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 955 1000 t
- Asia 707 1000 t
- Southern Asia 419 1000 t
- Net Food Importing Developing Countries (NFIDCs) 243 1000 t
- Least Developed Countries (LDCs) 196 1000 t
- Africa 170 1000 t
- South-Eastern Asia 137 1000 t
- Low Income Food Deficit Countries (LIFDCs) 128 1000 t
- Eastern Asia 121 1000 t
- Land Locked Developing Countries (LLDCs) 112 1000 t
- Western Africa 98 1000 t
- Americas 70 1000 t
- Eastern Africa 50 1000 t
- Central America 48 1000 t
- Western Asia 27 1000 t
- South America 16 1000 t
- Northern Africa 11 1000 t
- Middle Africa 10 1000 t
- Europe 7 1000 t
- Small island developing States (SIDS) 7 1000 t
- Northern America 5 1000 t
- Eastern Europe 5 1000 t
- Southern Europe 2 1000 t
- Oceania 2 1000 t
- Central Asia 2 1000 t
- European Union (27) 1 1000 t
- Southern 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.