Palm kernels — Import 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
Palm kernels — Import quantity is currently reported for 29 countries. The highest value is 1,116 1000 t in Costa Rica; the lowest is 0 1000 t in Panama.
The median across all reporting countries is 0 1000 t, and the mean is 90.55 1000 t.
Over the past decade 3 countries rose and 9 fell. The largest increase was in Thailand (up 785.2%), and the largest decrease in Cameroon (down 100.0%).
Palm kernels — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Costa Rica | 1,116 1000 t | 2023 | up 98.6% | volatile |
| 2 | Malaysia | 803 1000 t | 2023 | up 74.2% | volatile |
| 3 | Thailand | 239 1000 t | 2023 | up 785.2% | volatile |
| 4 | Guatemala | 164 1000 t | 2023 | — | volatile |
| 5 | Nigeria | 138 1000 t | 2023 | down 73.8% | volatile |
| 6 | Ghana | 88 1000 t | 2023 | — | volatile |
| 7 | China, mainland | 27 1000 t | 2023 | — | volatile |
| 7 | China | 27 1000 t | 2023 | — | volatile |
| 9 | Cote d'Ivoire | 11 1000 t | 2023 | — | volatile |
| 9 | Côte d'Ivoire | 11 1000 t | 2023 | — | volatile |
| 11 | Senegal | 1 1000 t | 2023 | — | volatile |
| 11 | India | 1 1000 t | 2023 | — | volatile |
| 13 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | volatile |
| 13 | Angola | 0 1000 t | 2023 | — | volatile |
| 13 | Cameroon | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | United Republic of Tanzania | 0 1000 t | 2022 | — | volatile |
| 13 | Ecuador | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Gabon | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 13 | Guinea | 0 1000 t | 2023 | — | volatile |
| 13 | Mexico | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Melanesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Honduras | 0 1000 t | 2023 | — | volatile |
| 13 | Indonesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Liberia | 0 1000 t | 2022 | — | volatile |
| 13 | Solomon Islands | 0 1000 t | 2021 | down 100.0% | volatile |
| 13 | Papua New Guinea | 0 1000 t | 2023 | — | volatile |
| 13 | Philippines | 0 1000 t | 2023 | down 100.0% | volatile |
| 13 | Panama | 0 1000 t | 2022 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 2,589 1000 t
- Americas 1,281 1000 t
- Central America 1,280 1000 t
- Asia 1,069 1000 t
- South-Eastern Asia 1,041 1000 t
- Africa 239 1000 t
- Western Africa 239 1000 t
- Eastern Asia 27 1000 t
- Net Food Importing Developing Countries (NFIDCs) 13 1000 t
- Low Income Food Deficit Countries (LIFDCs) 2 1000 t
- Least Developed Countries (LDCs) 2 1000 t
- Southern Asia 1 1000 t
- South America 1 1000 t
- Eastern Africa 0 1000 t
- Small island developing States (SIDS) 0 1000 t
- Oceania 0 1000 t
- Middle Africa 0 1000 t
- Land Locked Developing Countries (LLDCs) 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.