Coconuts - Incl Copra — 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
Coconuts - Incl Copra — Losses is currently reported for 66 countries. The highest value is 1,623 1000 t in Indonesia; the lowest is 0 1000 t in Sao Tome and Principe.
The median across all reporting countries is 7 1000 t, and the mean is 72.48 1000 t.
Over the past decade 27 countries rose and 23 fell. The largest increase was in Saint Lucia (up 300.0%), and the largest decrease in China, Taiwan Province of (down 100.0%).
Coconuts - Incl Copra — Losses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Indonesia | 1,623 1000 t | 2023 | down 1.6% | falling |
| 2 | India | 1,095 1000 t | 2023 | up 21.9% | rising |
| 3 | Brazil | 218 1000 t | 2023 | up 0.5% | falling |
| 4 | Sri Lanka | 188 1000 t | 2023 | up 2.7% | rising |
| 5 | Vietnam | 162 1000 t | 2023 | up 65.3% | rising |
| 5 | Viet Nam | 162 1000 t | 2023 | up 65.3% | rising |
| 7 | Melanesia | 159 1000 t | 2023 | up 18.7% | rising |
| 8 | Papua New Guinea | 118 1000 t | 2023 | up 29.7% | rising |
| 9 | China | 116 1000 t | 2023 | up 251.5% | rising |
| 10 | China, mainland | 115 1000 t | 2023 | up 248.5% | rising |
| 11 | Ghana | 91 1000 t | 2023 | up 28.2% | rising |
| 12 | Mexico | 86 1000 t | 2023 | down 3.4% | rising |
| 13 | Caribbean | 83 1000 t | 2023 | up 56.6% | rising |
| 14 | Thailand | 72 1000 t | 2023 | down 5.3% | falling |
| 15 | Malaysia | 51 1000 t | 2023 | up 15.9% | rising |
| 16 | Pakistan | 46 1000 t | 2023 | up 283.3% | volatile |
| 17 | Jamaica | 36 1000 t | 2023 | up 89.5% | volatile |
| 18 | Dominican Republic | 35 1000 t | 2023 | up 59.1% | rising |
| 19 | United Republic of Tanzania | 33 1000 t | 2023 | down 17.5% | falling |
| 20 | Myanmar | 27 1000 t | 2023 | unchanged | rising |
| 20 | Vanuatu | 27 1000 t | 2023 | down 10.0% | falling |
| 22 | Mozambique | 22 1000 t | 2023 | up 10.0% | flat |
| 23 | Micronesia | 21 1000 t | 2023 | up 61.5% | rising |
| 24 | Nigeria | 18 1000 t | 2023 | down 10.0% | falling |
| 25 | Polynesia | 14 1000 t | 2023 | down 30.0% | falling |
| 26 | Kiribati | 13 1000 t | 2023 | unchanged | flat |
| 27 | Solomon Islands | 11 1000 t | 2023 | unchanged | flat |
| 28 | Colombia | 9 1000 t | 2023 | unchanged | rising |
| 29 | Bangladesh | 8 1000 t | 2023 | up 14.3% | rising |
| 29 | Guyana | 8 1000 t | 2023 | down 42.9% | volatile |
| 31 | Cote d'Ivoire | 7 1000 t | 2023 | down 36.4% | falling |
| 31 | Côte d'Ivoire | 7 1000 t | 2023 | down 36.4% | falling |
| 31 | El Salvador | 7 1000 t | 2023 | up 75.0% | rising |
| 31 | Philippines | 7 1000 t | 2023 | down 12.5% | falling |
| 35 | Cambodia | 6 1000 t | 2023 | up 20.0% | rising |
| 35 | Micronesia (Federated States of) | 6 1000 t | 2023 | — | rising |
| 35 | Comoros | 6 1000 t | 2023 | down 25.0% | falling |
| 35 | Venezuela (Bolivarian Republic of) | 6 1000 t | 2023 | down 50.0% | falling |
| 39 | Samoa | 5 1000 t | 2023 | down 61.5% | volatile |
| 39 | Guinea | 5 1000 t | 2023 | up 25.0% | rising |
| 39 | French Polynesia | 5 1000 t | 2023 | down 16.7% | falling |
| 42 | Tonga | 4 1000 t | 2023 | — | flat |
| 42 | Cuba | 4 1000 t | 2019 | down 42.9% | falling |
| 42 | Guinea-Bissau | 4 1000 t | 2023 | up 33.3% | rising |
| 42 | Kenya | 4 1000 t | 2023 | down 20.0% | falling |
| 42 | Saint Lucia | 4 1000 t | 2023 | up 300.0% | volatile |
| 47 | United States | 3 1000 t | 2023 | down 62.5% | volatile |
| 47 | Haiti | 3 1000 t | 2023 | up 50.0% | rising |
| 47 | East Timor | 3 1000 t | 2023 | up 200.0% | rising |
| 47 | Timor-Leste | 3 1000 t | 2023 | up 200.0% | rising |
| 51 | Madagascar | 2 1000 t | 2023 | down 33.3% | falling |
| 51 | Peru | 2 1000 t | 2023 | unchanged | rising |
| 51 | Marshall Islands | 2 1000 t | 2023 | — | rising |
| 51 | Grenada | 2 1000 t | 2023 | up 100.0% | rising |
| 51 | Cabo Verde | 2 1000 t | 2023 | down 33.3% | falling |
| 56 | Liberia | 1 1000 t | 2023 | — | volatile |
| 56 | Panama | 1 1000 t | 2023 | unchanged | falling |
| 56 | Nicaragua | 1 1000 t | 2023 | — | volatile |
| 56 | Costa Rica | 1 1000 t | 2023 | unchanged | falling |
| 56 | New Caledonia | 1 1000 t | 2023 | unchanged | flat |
| 56 | Fiji | 1 1000 t | 2023 | unchanged | volatile |
| 56 | Guatemala | 1 1000 t | 2023 | down 50.0% | falling |
| 56 | Honduras | 1 1000 t | 2023 | unchanged | flat |
| 64 | France | 0 1000 t | 2023 | — | volatile |
| 64 | China, Taiwan Province of | 0 1000 t | 2023 | down 100.0% | volatile |
| 64 | Sao Tome and Principe | 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 4,227 1000 t
- Asia 3,404 1000 t
- South-Eastern Asia 1,951 1000 t
- Southern Asia 1,337 1000 t
- Net Food Importing Developing Countries (NFIDCs) 497 1000 t
- Americas 428 1000 t
- Small island developing States (SIDS) 300 1000 t
- South America 244 1000 t
- Africa 199 1000 t
- Oceania 194 1000 t
- Least Developed Countries (LDCs) 148 1000 t
- Western Africa 130 1000 t
- Eastern Asia 116 1000 t
- Central America 98 1000 t
- Low Income Food Deficit Countries (LIFDCs) 85 1000 t
- Eastern Africa 69 1000 t
- United States of America 3 1000 t
- Northern America 3 1000 t
- Western Europe 1 1000 t
- Middle Africa 1 1000 t
- Europe 1 1000 t
- European Union (27) 1 1000 t
- Eastern Europe 0 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.