Statizoid

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...

Countries reporting
158
Highest
767.17 t
Indonesia
Lowest
0 t
China, Macao SAR
Median
0 t
Years covered
14
2010–2023
Data points
2,433

What the numbers show

Palmkernel Oil — Protein supply quantity (t) is currently reported for 158 countries. The highest value is 767.17 t in Indonesia; the lowest is 0 t in China, Macao SAR.

The median across all reporting countries is 0 t, and the mean is 8.28 t.

Over the past decade 27 countries rose and 28 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 LatestYear 10-year changeTrend
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 Türkiye 65.45 t 2023 down 42.8% volatile
6 France 39.86 t 2023 up 3.1% volatile
7 Poland 29.71 t 2023 up 1,143.1% volatile
8 United Kingdom of Great Britain and Northern Ireland 17.86 t 2023 down 23.1% volatile
9 Czechia 13.31 t 2023 up 7,294.4% volatile
10 Belgium 11.32 t 2023 up 21.7% falling
11 Bulgaria 5.37 t 2023 up 53,600.0% volatile
12 Brazil 3.88 t 2023 — volatile
13 Chile 2.55 t 2023 up 269.6% volatile
14 Kazakhstan 2.45 t 2023 down 49.0% volatile
15 Serbia 2 t 2023 up 354.5% volatile
16 Georgia 1.42 t 2020 down 83.1% volatile
17 Portugal 1.4 t 2023 down 7.3% rising
18 Morocco 1 t 2023 — volatile
19 Caribbean 0.84 t 2023 up 189.7% volatile
20 Saudi Arabia 0.8 t 2023 up 150.0% volatile
21 Nicaragua 0.76 t 2023 up 94.9% volatile
22 Dominican Republic 0.69 t 2023 up 283.3% volatile
23 Republic of Korea 0.57 t 2023 up 26.7% rising
24 Republic of Moldova 0.55 t 2023 down 43.9% volatile
25 New Zealand 0.51 t 2023 up 88.9% volatile
25 Australia and New Zealand 0.51 t 2023 up 88.9% volatile
27 Melanesia 0.47 t 2023 up 23.7% volatile
28 Paraguay 0.44 t 2023 up 528.6% volatile
29 Papua New Guinea 0.41 t 2023 up 10.8% volatile
30 Hungary 0.36 t 2023 up 12.5% volatile
31 Democratic Republic of the Congo 0.31 t 2023 up 121.4% volatile
32 Latvia 0.26 t 2023 up 100.0% volatile
33 Bahrain 0.21 t 2023 — volatile
34 Qatar 0.19 t 2023 — volatile
35 Israel 0.18 t 2023 unchanged rising
36 Romania 0.15 t 2023 up 114.3% volatile
37 Jamaica 0.14 t 2023 — volatile
38 Uganda 0.12 t 2023 up 100.0% rising
38 Yemen 0.12 t 2023 — volatile
40 Costa Rica 0.09 t 2023 down 18.2% volatile
41 Fiji 0.07 t 2023 — volatile
41 Lebanon 0.07 t 2023 up 600.0% volatile
43 Philippines 0.06 t 2023 down 70.0% volatile
44 Mauritius 0.04 t 2023 — volatile
45 Gabon 0.03 t 2023 — volatile
45 Panama 0.03 t 2023 — volatile
45 Sierra Leone 0.03 t 2023 down 97.3% volatile
45 Zambia 0.03 t 2023 up 200.0% volatile
49 Liberia 0.02 t 2023 unchanged volatile
49 Mongolia 0.02 t 2023 — volatile
51 Bahamas 0.01 t 2023 down 88.9% volatile
51 Cuba 0.01 t 2019 unchanged volatile
51 Cyprus 0.01 t 2023 — volatile
51 Guinea-Bissau 0.01 t 2023 — volatile
51 Ireland 0.01 t 2023 down 98.8% volatile
51 Oman 0.01 t 2023 — volatile
51 Iran (Islamic Republic of) 0.01 t 2023 down 94.7% volatile
51 Lao People's Democratic Republic 0.01 t 2023 — volatile
59 Afghanistan 0 t 2023 down 100.0% volatile
59 Angola 0 t 2023 — flat
59 Albania 0 t 2023 — volatile
59 United Arab Emirates 0 t 2023 — flat
59 Argentina 0 t 2020 — flat
59 Armenia 0 t 2023 down 100.0% volatile
59 Antigua and Barbuda 0 t 2023 — volatile
59 Australia 0 t 2023 — flat
59 Austria 0 t 2023 down 100.0% volatile
59 Azerbaijan 0 t 2023 — flat
59 Burkina Faso 0 t 2023 — flat
59 Bangladesh 0 t 2023 — flat
59 Bosnia and Herzegovina 0 t 2023 down 100.0% volatile
59 Belarus 0 t 2023 down 100.0% volatile
59 Belize 0 t 2023 — volatile
59 Barbados 0 t 2023 — flat
59 Bhutan 0 t 2023 — flat
59 Botswana 0 t 2023 — volatile
59 Canada 0 t 2023 — volatile
59 Switzerland 0 t 2023 down 100.0% volatile
59 Cameroon 0 t 2023 — flat
59 Congo 0 t 2023 — flat
59 Colombia 0 t 2023 — flat
59 Germany 0 t 2023 — flat
59 Djibouti 0 t 2023 — flat
59 Denmark 0 t 2023 — flat
59 Egypt 0 t 2023 — flat
59 Spain 0 t 2023 — flat
59 Estonia 0 t 2018 — flat
59 Ethiopia 0 t 2023 — volatile
59 Finland 0 t 2021 — volatile
59 Ghana 0 t 2023 down 100.0% volatile
59 Guinea 0 t 2023 — flat
59 Gambia 0 t 2021 — flat
59 Greece 0 t 2023 — volatile
59 Grenada 0 t 2023 — flat
59 Guyana 0 t 2023 — volatile
59 Honduras 0 t 2023 — flat
59 Croatia 0 t 2023 — flat
59 Haiti 0 t 2023 — flat
59 Iraq 0 t 2023 — flat
59 Iceland 0 t 2023 — flat
59 Italy 0 t 2023 — flat
59 Jordan 0 t 2023 — flat
59 Kenya 0 t 2023 — flat
59 Kyrgyzstan 0 t 2021 down 100.0% volatile
59 Cambodia 0 t 2023 down 100.0% volatile
59 Kiribati 0 t 2021 — flat
59 Saint Kitts and Nevis 0 t 2021 — flat
59 Kuwait 0 t 2023 — volatile
59 Libya 0 t 2020 down 100.0% volatile
59 Saint Lucia 0 t 2023 — flat
59 Sri Lanka 0 t 2023 — flat
59 Lesotho 0 t 2023 — volatile
59 Luxembourg 0 t 2023 — flat
59 Madagascar 0 t 2023 — flat
59 Marshall Islands 0 t 2023 — flat
59 North Macedonia 0 t 2023 down 100.0% volatile
59 Malta 0 t 2023 — volatile
59 Myanmar 0 t 2023 — flat
59 Montenegro 0 t 2023 — volatile
59 Mozambique 0 t 2023 — flat
59 Mauritania 0 t 2023 — flat
59 Malawi 0 t 2023 down 100.0% volatile
59 Namibia 0 t 2023 — volatile
59 New Caledonia 0 t 2023 — flat
59 Niger 0 t 2023 — flat
59 Nigeria 0 t 2023 — flat
59 Nepal 0 t 2023 — flat
59 Pakistan 0 t 2023 — flat
59 Peru 0 t 2023 down 100.0% volatile
59 Rwanda 0 t 2023 — flat
59 Senegal 0 t 2023 — flat
59 Solomon Islands 0 t 2023 — flat
59 El Salvador 0 t 2023 down 100.0% volatile
59 Sao Tome and Principe 0 t 2023 — flat
59 Suriname 0 t 2023 — volatile
59 Sweden 0 t 2023 — flat
59 Seychelles 0 t 2023 — flat
59 Thailand 0 t 2023 — flat
59 Tajikistan 0 t 2023 — flat
59 Turkmenistan 0 t 2023 down 100.0% volatile
59 Tonga 0 t 2023 — flat
59 Trinidad and Tobago 0 t 2023 — flat
59 Uzbekistan 0 t 2019 — flat
59 Saint Vincent and the Grenadines 0 t 2021 — flat
59 Samoa 0 t 2021 — volatile
59 Zimbabwe 0 t 2023 — flat
59 Micronesia 0 t 2023 — flat
59 Timor-Leste 0 t 2023 — flat
59 Cabo Verde 0 t 2023 — volatile
59 Polynesia 0 t 2023 — volatile
59 Bolivia (Plurinational State of) 0 t 2023 — volatile
59 China, Hong Kong SAR 0 t 2023 — flat
59 Syrian Arab Republic 0 t 2023 down 100.0% volatile
59 Viet Nam 0 t 2023 — flat
59 Côte d'Ivoire 0 t 2023 — flat
59 United Republic of Tanzania 0 t 2023 — flat
59 China, Taiwan Province of 0 t 2023 — flat
59 China, Macao SAR 0 t 2023 — flat

Regions and income groups

Aggregates are excluded from the country ranking above so that a region can never outrank a country.

About this data

Indicator
Palmkernel Oil — Protein supply quantity (t)
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
189 places, 2,433 data points, 2010–2023
Last refreshed

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.