Palmkernel Oil — Protein supply quantity (t) 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
Palmkernel Oil — Protein supply quantity (t) is currently reported for 99 countries. The highest value is 767.17 t in Indonesia; the lowest is 0 t in Syrian Arab Republic.
The median across all reporting countries is 0.03 t, and the mean is 14.1 t.
Over the past decade 28 countries rose and 32 fell. The largest increase was in Bulgaria (up 53,600.0%), and the largest decrease in Afghanistan (down 100.0%).
Palmkernel Oil — Protein supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Indonesia | 767.17 t | 2023 | up 290.3% | volatile |
| 2 | Malaysia | 195.08 t | 2023 | — | volatile |
| 3 | China | 69.73 t | 2023 | up 258.7% | volatile |
| 3 | China, mainland | 69.73 t | 2023 | up 258.7% | volatile |
| 5 | Turkey | 65.45 t | 2023 | down 42.8% | volatile |
| 5 | Türkiye | 65.45 t | 2023 | down 42.8% | volatile |
| 7 | France | 39.86 t | 2023 | up 3.1% | volatile |
| 8 | Poland | 29.71 t | 2023 | up 1,143.1% | volatile |
| 9 | United Kingdom | 17.86 t | 2023 | down 23.1% | volatile |
| 9 | United Kingdom of Great Britain and Northern Ireland | 17.86 t | 2023 | down 23.1% | volatile |
| 11 | Czechia | 13.31 t | 2023 | up 7,294.4% | volatile |
| 12 | Belgium | 11.32 t | 2023 | up 21.7% | falling |
| 13 | Bulgaria | 5.37 t | 2023 | up 53,600.0% | volatile |
| 14 | Brazil | 3.88 t | 2023 | — | volatile |
| 15 | United States | 3.26 t | 2023 | up 167.2% | rising |
| 16 | Chile | 2.55 t | 2023 | up 269.6% | volatile |
| 17 | Kazakhstan | 2.45 t | 2023 | down 49.0% | volatile |
| 18 | Serbia | 2 t | 2023 | up 354.5% | volatile |
| 19 | Georgia | 1.42 t | 2020 | down 83.1% | volatile |
| 20 | Portugal | 1.4 t | 2023 | down 7.3% | rising |
| 21 | Morocco | 1 t | 2023 | — | volatile |
| 22 | Caribbean | 0.84 t | 2023 | up 189.7% | volatile |
| 23 | Saudi Arabia | 0.8 t | 2023 | up 150.0% | volatile |
| 24 | Nicaragua | 0.76 t | 2023 | up 94.9% | volatile |
| 25 | Dominican Republic | 0.69 t | 2023 | up 283.3% | volatile |
| 26 | Republic of Korea | 0.57 t | 2023 | up 26.7% | rising |
| 27 | Moldova | 0.55 t | 2023 | down 43.9% | volatile |
| 27 | Republic of Moldova | 0.55 t | 2023 | down 43.9% | volatile |
| 29 | New Zealand | 0.51 t | 2023 | up 88.9% | volatile |
| 29 | Australia and New Zealand | 0.51 t | 2023 | up 88.9% | volatile |
| 31 | Melanesia | 0.47 t | 2023 | up 23.7% | volatile |
| 32 | Paraguay | 0.44 t | 2023 | up 528.6% | volatile |
| 33 | Papua New Guinea | 0.41 t | 2023 | up 10.8% | volatile |
| 34 | Hungary | 0.36 t | 2023 | up 12.5% | volatile |
| 35 | Democratic Republic of the Congo | 0.31 t | 2023 | up 121.4% | volatile |
| 36 | Latvia | 0.26 t | 2023 | up 100.0% | volatile |
| 37 | Bahrain | 0.21 t | 2023 | — | volatile |
| 38 | Qatar | 0.19 t | 2023 | — | volatile |
| 39 | Israel | 0.18 t | 2023 | unchanged | rising |
| 40 | Romania | 0.15 t | 2023 | up 114.3% | volatile |
| 41 | Jamaica | 0.14 t | 2023 | — | volatile |
| 42 | Uganda | 0.12 t | 2023 | up 100.0% | rising |
| 42 | Yemen | 0.12 t | 2023 | — | volatile |
| 44 | Costa Rica | 0.09 t | 2023 | down 18.2% | volatile |
| 45 | Fiji | 0.07 t | 2023 | — | volatile |
| 45 | Lebanon | 0.07 t | 2023 | up 600.0% | volatile |
| 47 | Philippines | 0.06 t | 2023 | down 70.0% | volatile |
| 48 | Mauritius | 0.04 t | 2023 | — | volatile |
| 49 | Gabon | 0.03 t | 2023 | — | volatile |
| 49 | Panama | 0.03 t | 2023 | — | volatile |
| 49 | Sierra Leone | 0.03 t | 2023 | down 97.3% | volatile |
| 49 | Zambia | 0.03 t | 2023 | up 200.0% | volatile |
| 53 | Liberia | 0.02 t | 2023 | unchanged | volatile |
| 53 | Mongolia | 0.02 t | 2023 | — | volatile |
| 55 | Bahamas | 0.01 t | 2023 | down 88.9% | volatile |
| 55 | Cuba | 0.01 t | 2019 | unchanged | volatile |
| 55 | Cyprus | 0.01 t | 2023 | — | volatile |
| 55 | Guinea-Bissau | 0.01 t | 2023 | — | volatile |
| 55 | Ireland | 0.01 t | 2023 | down 98.8% | volatile |
| 55 | Laos | 0.01 t | 2023 | — | volatile |
| 55 | Oman | 0.01 t | 2023 | — | volatile |
| 55 | Iran (Islamic Republic of) | 0.01 t | 2023 | down 94.7% | volatile |
| 55 | Lao People's Democratic Republic | 0.01 t | 2023 | — | volatile |
| 64 | Afghanistan | 0 t | 2023 | down 100.0% | volatile |
| 64 | Albania | 0 t | 2023 | — | volatile |
| 64 | Armenia | 0 t | 2023 | down 100.0% | volatile |
| 64 | Antigua and Barbuda | 0 t | 2023 | — | volatile |
| 64 | Austria | 0 t | 2023 | down 100.0% | volatile |
| 64 | Bosnia and Herzegovina | 0 t | 2023 | down 100.0% | volatile |
| 64 | Belarus | 0 t | 2023 | down 100.0% | volatile |
| 64 | Belize | 0 t | 2023 | — | volatile |
| 64 | Botswana | 0 t | 2023 | — | volatile |
| 64 | Canada | 0 t | 2023 | — | volatile |
| 64 | Switzerland | 0 t | 2023 | down 100.0% | volatile |
| 64 | Ethiopia | 0 t | 2023 | — | volatile |
| 64 | Finland | 0 t | 2021 | — | volatile |
| 64 | Ghana | 0 t | 2023 | down 100.0% | volatile |
| 64 | Greece | 0 t | 2023 | — | volatile |
| 64 | Guyana | 0 t | 2023 | — | volatile |
| 64 | Kyrgyzstan | 0 t | 2021 | down 100.0% | volatile |
| 64 | Cambodia | 0 t | 2023 | down 100.0% | volatile |
| 64 | Kuwait | 0 t | 2023 | — | volatile |
| 64 | Libya | 0 t | 2020 | down 100.0% | volatile |
| 64 | Lesotho | 0 t | 2023 | — | volatile |
| 64 | North Macedonia | 0 t | 2023 | down 100.0% | volatile |
| 64 | Malta | 0 t | 2023 | — | volatile |
| 64 | Montenegro | 0 t | 2023 | — | volatile |
| 64 | Malawi | 0 t | 2023 | down 100.0% | volatile |
| 64 | Namibia | 0 t | 2023 | — | volatile |
| 64 | Peru | 0 t | 2023 | down 100.0% | volatile |
| 64 | El Salvador | 0 t | 2023 | down 100.0% | volatile |
| 64 | Suriname | 0 t | 2023 | — | volatile |
| 64 | Syria | 0 t | 2023 | down 100.0% | volatile |
| 64 | Turkmenistan | 0 t | 2023 | down 100.0% | volatile |
| 64 | Samoa | 0 t | 2021 | — | volatile |
| 64 | Cabo Verde | 0 t | 2023 | — | volatile |
| 64 | Polynesia | 0 t | 2023 | — | volatile |
| 64 | Bolivia (Plurinational State of) | 0 t | 2023 | — | volatile |
| 64 | Syrian Arab Republic | 0 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 1,239 t
- Asia 1,102 t
- South-Eastern Asia 962.31 t
- Europe 122.16 t
- European Union (27) 101.76 t
- Eastern Asia 70.32 t
- Western Asia 67.04 t
- Western Europe 51.18 t
- Eastern Europe 49.45 t
- Northern Europe 18.14 t
- Americas 11.85 t
- South America 6.88 t
- Land Locked Developing Countries (LLDCs) 3.62 t
- Southern Europe 3.4 t
- Northern America 3.26 t
- United States of America 3.26 t
- Net Food Importing Developing Countries (NFIDCs) 2.75 t
- Central Asia 2.45 t
- Africa 2.12 t
- Low Income Food Deficit Countries (LIFDCs) 1.55 t
- Small island developing States (SIDS) 1.37 t
- Northern Africa 1.35 t
- Oceania 0.98 t
- Central America 0.88 t
- Least Developed Countries (LDCs) 0.83 t
- Middle Africa 0.34 t
- Western Africa 0.24 t
- Eastern Africa 0.19 t
- Southern Asia 0.01 t
- Southern Africa 0 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.