Coconuts - Incl Copra — 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
Coconuts - Incl Copra — Residuals is currently reported for 60 countries. The highest value is 81 1000 t in Vanuatu; the lowest is -93 1000 t in Mozambique.
The median across all reporting countries is 0 1000 t, and the mean is -2.13 1000 t.
Over the past decade 15 countries rose and 5 fell. The largest increase was in Melanesia (up 145.3%), and the largest decrease in China, Taiwan Province of (down 100.0%).
Coconuts - Incl Copra — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Vanuatu | 81 1000 t | 2023 | — | volatile |
| 2 | Melanesia | 29 1000 t | 2023 | up 145.3% | volatile |
| 3 | Polynesia | 14 1000 t | 2023 | — | volatile |
| 4 | French Polynesia | 13 1000 t | 2023 | — | volatile |
| 5 | Samoa | 1 1000 t | 2023 | — | volatile |
| 6 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | volatile |
| 6 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 6 | Uganda | 0 1000 t | 2023 | — | volatile |
| 6 | United States | 0 1000 t | 2023 | — | volatile |
| 6 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Ghana | 0 1000 t | 2023 | — | volatile |
| 6 | Greece | 0 1000 t | 2023 | — | volatile |
| 6 | China, Taiwan Province of | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | — | volatile |
| 6 | Dominican Republic | 0 1000 t | 2023 | — | volatile |
| 6 | Denmark | 0 1000 t | 2023 | — | volatile |
| 6 | Micronesia | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | United Kingdom | 0 1000 t | 2023 | — | volatile |
| 6 | Colombia | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | China | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Caribbean | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | China, Hong Kong SAR | 0 1000 t | 2023 | — | volatile |
| 6 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | volatile |
| 6 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Canada | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Burkina Faso | 0 1000 t | 2023 | — | volatile |
| 6 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 6 | Belgium | 0 1000 t | 2023 | — | volatile |
| 6 | Afghanistan | 0 1000 t | 2023 | — | volatile |
| 6 | Marshall Islands | 0 1000 t | 2023 | — | volatile |
| 6 | Guyana | 0 1000 t | 2023 | — | volatile |
| 6 | Indonesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | India | 0 1000 t | 2023 | — | volatile |
| 6 | Jamaica | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Kazakhstan | 0 1000 t | 2023 | — | volatile |
| 6 | Kenya | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Kiribati | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Kuwait | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Laos | 0 1000 t | 2023 | — | volatile |
| 6 | Madagascar | 0 1000 t | 2023 | — | volatile |
| 6 | Mexico | 0 1000 t | 2023 | — | volatile |
| 6 | Tonga | 0 1000 t | 2023 | — | volatile |
| 6 | Myanmar | 0 1000 t | 2023 | — | volatile |
| 6 | Mauritius | 0 1000 t | 2023 | — | volatile |
| 6 | Thailand | 0 1000 t | 2023 | — | volatile |
| 6 | Sao Tome and Principe | 0 1000 t | 2023 | — | volatile |
| 6 | Papua New Guinea | 0 1000 t | 2023 | — | volatile |
| 6 | Philippines | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Panama | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Oman | 0 1000 t | 2023 | — | volatile |
| 6 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 6 | Gambia | 0 1000 t | 2023 | — | volatile |
| 186 | Belize | -2 1000 t | 2023 | — | volatile |
| 187 | Egypt | -3 1000 t | 2023 | up 89.7% | volatile |
| 188 | Costa Rica | -10 1000 t | 2023 | — | volatile |
| 189 | France | -32 1000 t | 2023 | — | volatile |
| 190 | Côte d'Ivoire | -37 1000 t | 2023 | up 47.9% | volatile |
| 190 | Cote d'Ivoire | -37 1000 t | 2023 | up 47.9% | volatile |
| 192 | Fiji | -52 1000 t | 2023 | up 18.8% | rising |
| 193 | Mozambique | -93 1000 t | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Oceania 43 1000 t
- Small island developing States (SIDS) 40 1000 t
- Central Asia 0 1000 t
- Western Asia 0 1000 t
- South-Eastern Asia 0 1000 t
- United States of America 0 1000 t
- South America 0 1000 t
- Northern America 0 1000 t
- Land Locked Developing Countries (LLDCs) 0 1000 t
- Northern Europe 0 1000 t
- Southern Europe 0 1000 t
- Southern Asia 0 1000 t
- Middle Africa 0 1000 t
- Eastern Asia 0 1000 t
- Asia -1 1000 t
- Northern Africa -3 1000 t
- Americas -12 1000 t
- Central America -13 1000 t
- Europe -32 1000 t
- European Union (27) -32 1000 t
- Western Europe -32 1000 t
- Western Africa -37 1000 t
- Eastern Africa -93 1000 t
- Low Income Food Deficit Countries (LIFDCs) -94 1000 t
- Least Developed Countries (LDCs) -94 1000 t
- Net Food Importing Developing Countries (NFIDCs) -133 1000 t
- Africa -133 1000 t
- World -136 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.