Spices — Residuals 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 — Residuals is currently reported for 62 countries. The highest value is 0 1000 t in Moldova; the lowest is -32 1000 t in Brazil.
The median across all reporting countries is -1 1000 t, and the mean is -3.65 1000 t.
Over the past decade 12 countries rose and 4 fell. The largest increase was in Guatemala (up 100.0%), and the largest decrease in Myanmar (down 2,100.0%).
Spices — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Moldova | 0 1000 t | 2023 | — | volatile |
| 1 | Ghana | 0 1000 t | 2023 | — | volatile |
| 1 | Guatemala | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Indonesia | 0 1000 t | 2023 | — | volatile |
| 1 | Iran (Islamic Republic of) | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Serbia | 0 1000 t | 2023 | — | volatile |
| 1 | Lebanon | 0 1000 t | 2023 | — | volatile |
| 1 | Sri Lanka | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Republic of Moldova | 0 1000 t | 2023 | — | volatile |
| 1 | Mexico | 0 1000 t | 2023 | — | volatile |
| 1 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 1 | Niger | 0 1000 t | 2023 | — | volatile |
| 1 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 1 | Nepal | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Romania | 0 1000 t | 2023 | — | volatile |
| 1 | Poland | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Ukraine | 0 1000 t | 2023 | — | volatile |
| 1 | Ethiopia | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | United Arab Emirates | 0 1000 t | 2023 | — | volatile |
| 1 | Argentina | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 1 | Djibouti | 0 1000 t | 2023 | — | volatile |
| 1 | Czechia | 0 1000 t | 2023 | — | volatile |
| 1 | Costa Rica | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Chile | 0 1000 t | 2023 | — | volatile |
| 1 | Turkmenistan | 0 1000 t | 2023 | — | volatile |
| 160 | Zimbabwe | -1 1000 t | 2023 | — | volatile |
| 160 | Kenya | -1 1000 t | 2023 | — | volatile |
| 160 | Cambodia | -1 1000 t | 2023 | — | volatile |
| 160 | Caribbean | -1 1000 t | 2023 | unchanged | volatile |
| 160 | Finland | -1 1000 t | 2023 | — | volatile |
| 160 | Rwanda | -1 1000 t | 2023 | — | volatile |
| 160 | Albania | -1 1000 t | 2023 | — | volatile |
| 160 | Saint Vincent and the Grenadines | -1 1000 t | 2023 | unchanged | volatile |
| 168 | Colombia | -2 1000 t | 2023 | up 33.3% | falling |
| 168 | Lao People's Democratic Republic | -2 1000 t | 2023 | — | volatile |
| 168 | Lithuania | -2 1000 t | 2023 | — | volatile |
| 168 | Laos | -2 1000 t | 2023 | — | volatile |
| 168 | Honduras | -2 1000 t | 2023 | unchanged | volatile |
| 173 | Ecuador | -3 1000 t | 2023 | — | volatile |
| 173 | Fiji | -3 1000 t | 2023 | — | volatile |
| 173 | Afghanistan | -3 1000 t | 2023 | — | volatile |
| 173 | Jordan | -3 1000 t | 2023 | unchanged | falling |
| 173 | Melanesia | -3 1000 t | 2023 | — | volatile |
| 173 | Uganda | -3 1000 t | 2023 | — | volatile |
| 179 | Côte d'Ivoire | -4 1000 t | 2023 | — | volatile |
| 179 | Cote d'Ivoire | -4 1000 t | 2023 | — | volatile |
| 181 | Syrian Arab Republic | -5 1000 t | 2023 | — | volatile |
| 181 | Syria | -5 1000 t | 2023 | — | volatile |
| 183 | Viet Nam | -7 1000 t | 2023 | up 61.1% | volatile |
| 183 | Vietnam | -7 1000 t | 2023 | up 61.1% | volatile |
| 185 | Nigeria | -8 1000 t | 2023 | — | volatile |
| 186 | Zambia | -10 1000 t | 2023 | — | volatile |
| 186 | Peru | -10 1000 t | 2023 | down 42.9% | volatile |
| 188 | Spain | -13 1000 t | 2023 | — | volatile |
| 189 | Italy | -14 1000 t | 2023 | — | volatile |
| 189 | South Africa | -14 1000 t | 2023 | down 27.3% | volatile |
| 191 | Madagascar | -16 1000 t | 2023 | — | volatile |
| 192 | Bulgaria | -19 1000 t | 2023 | — | volatile |
| 193 | Myanmar | -22 1000 t | 2023 | down 2,100.0% | volatile |
| 194 | Brazil | -32 1000 t | 2023 | down 220.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Western Europe 0 1000 t
- Central Asia 0 1000 t
- Central America -2 1000 t
- Northern Europe -3 1000 t
- Oceania -3 1000 t
- Southern Asia -3 1000 t
- Small island developing States (SIDS) -4 1000 t
- Western Asia -9 1000 t
- Western Africa -12 1000 t
- Southern Africa -14 1000 t
- Eastern Europe -19 1000 t
- Land Locked Developing Countries (LLDCs) -20 1000 t
- Southern Europe -29 1000 t
- Low Income Food Deficit Countries (LIFDCs) -31 1000 t
- Eastern Africa -32 1000 t
- South-Eastern Asia -33 1000 t
- Asia -44 1000 t
- South America -47 1000 t
- Americas -50 1000 t
- European Union (27) -50 1000 t
- Europe -51 1000 t
- Africa -58 1000 t
- Least Developed Countries (LDCs) -59 1000 t
- Net Food Importing Developing Countries (NFIDCs) -79 1000 t
- World -207 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.