Coconut 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
170
Highest
163.89 t
Germany
Lowest
0 t
China, Macao SAR
Median
0.01 t
Years covered
14
2010–2023
Data points
2,655

What the numbers show

Coconut Oil — Protein supply quantity (t) is currently reported for 170 countries. The highest value is 163.89 t in Germany; the lowest is 0 t in China, Macao SAR.

The median across all reporting countries is 0.01 t, and the mean is 4.2 t.

Over the past decade 32 countries rose and 45 fell. The largest increase was in Luxembourg (up 850.0%), and the largest decrease in Bosnia and Herzegovina (down 100.0%).

Coconut Oil — Protein supply quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 Germany 163.89 t 2023 down 45.2% falling
2 France 135.75 t 2023 down 6.6% flat
3 India 108.1 t 2023 down 49.2% falling
4 Sri Lanka 49 t 2023 up 99.5% rising
5 Mexico 25.87 t 2023 down 79.8% falling
6 Sweden 25.23 t 2023 up 55.0% rising
7 Australia and New Zealand 17.45 t 2023 up 64.2% rising
8 Türkiye 17.33 t 2023 down 17.2% volatile
9 China 17.23 t 2023 up 327.5% volatile
9 China, mainland 17.23 t 2023 up 327.5% volatile
11 Austria 15.32 t 2023 down 8.0% falling
12 Belgium 14.16 t 2023 down 32.3% falling
13 Nepal 12.54 t 2023 up 249.3% volatile
14 New Zealand 11.05 t 2023 up 595.0% volatile
15 Poland 10.86 t 2023 down 81.3% falling
16 United Kingdom of Great Britain and Northern Ireland 8.93 t 2023 down 23.1% volatile
17 Australia 6.4 t 2023 down 29.2% falling
19 Serbia 4.64 t 2023 up 177.8% volatile
20 Republic of Moldova 4.33 t 2023 up 157.7% volatile
21 Pakistan 4.25 t 2023 down 79.8% volatile
22 Republic of Korea 3.58 t 2023 down 1.9% flat
23 Jamaica 3.46 t 2023 up 7.8% volatile
24 Kyrgyzstan 3.28 t 2023 up 285.9% volatile
25 Armenia 3.13 t 2023 down 15.6% falling
26 Norway 3.06 t 2023 down 49.8% volatile
27 Bulgaria 2.4 t 2023 up 179.1% volatile
28 Czechia 2.26 t 2023 up 153.9% rising
29 Romania 2.04 t 2023 down 8.9% falling
30 Melanesia 1.86 t 2023 down 33.3% rising
31 Kazakhstan 1.41 t 2023 down 45.1% falling
32 Cambodia 1.14 t 2023 up 16.3% rising
33 Polynesia 1.13 t 2023 up 2.7% falling
34 Samoa 1.07 t 2023 down 2.7% volatile
35 Fiji 1 t 2023 down 2.0% volatile
36 Libya 0.99 t 2023 up 50.0% volatile
37 Algeria 0.87 t 2023 volatile
38 Portugal 0.85 t 2023 volatile
39 Finland 0.82 t 2022 down 88.7% volatile
40 Qatar 0.65 t 2023 flat
41 Belarus 0.62 t 2023 down 50.0% falling
42 Lebanon 0.61 t 2023 up 369.2% volatile
43 Ireland 0.6 t 2023 down 85.2% volatile
44 Latvia 0.55 t 2023 up 323.1% volatile
45 Papua New Guinea 0.54 t 2023 down 61.4% volatile
46 Dominican Republic 0.49 t 2023 up 122.7% rising
47 Saudi Arabia 0.4 t 2023 up 300.0% volatile
48 Panama 0.36 t 2023 up 620.0% volatile
49 Philippines 0.33 t 2023 down 87.0% volatile
50 Israel 0.31 t 2023 up 287.5% volatile
51 Bahrain 0.3 t 2023 falling
52 Bahamas 0.29 t 2023 down 40.8% volatile
53 Hungary 0.27 t 2023 down 79.1% volatile
53 Mozambique 0.27 t 2023 up 92.9% rising
55 North Macedonia 0.26 t 2023 volatile
56 Albania 0.24 t 2023 volatile
57 Solomon Islands 0.23 t 2023 up 64.3% rising
58 Chile 0.21 t 2023 up 600.0% volatile
59 Brazil 0.19 t 2023 volatile
59 Luxembourg 0.19 t 2023 up 850.0% volatile
61 Grenada 0.18 t 2023 down 45.5% falling
62 Iran (Islamic Republic of) 0.15 t 2023 down 34.8% falling
63 Saint Vincent and the Grenadines 0.12 t 2023 volatile
64 Guyana 0.11 t 2023 down 42.1% volatile
64 Lao People's Democratic Republic 0.11 t 2023 volatile
66 Vanuatu 0.09 t 2023 down 59.1% falling
67 Antigua and Barbuda 0.08 t 2023 up 166.7% volatile
68 Guinea-Bissau 0.07 t 2023 volatile
68 Oman 0.07 t 2023 up 600.0% volatile
70 Saint Kitts and Nevis 0.06 t 2023 down 60.0% volatile
70 Tonga 0.06 t 2023 volatile
70 Yemen 0.06 t 2023 up 200.0% volatile
73 Suriname 0.05 t 2023 up 66.7% volatile
74 Malta 0.04 t 2023 up 33.3% falling
74 Montenegro 0.04 t 2023 volatile
74 Mauritius 0.04 t 2023 volatile
77 Cyprus 0.03 t 2023 volatile
77 Marshall Islands 0.03 t 2023 flat
77 Mongolia 0.03 t 2023 up 200.0% volatile
77 Micronesia 0.03 t 2023 volatile
81 Lesotho 0.01 t 2023 volatile
81 Morocco 0.01 t 2023 volatile
81 Namibia 0.01 t 2023 volatile
81 Nicaragua 0.01 t 2023 down 87.5% volatile
81 Paraguay 0.01 t 2023 volatile
81 Seychelles 0.01 t 2023 volatile
81 Zambia 0.01 t 2023 down 66.7% volatile
81 Cabo Verde 0.01 t 2023 volatile
81 Micronesia (Federated States of) 0.01 t 2023 volatile
90 Afghanistan 0 t 2023 flat
90 Angola 0 t 2023 flat
90 United Arab Emirates 0 t 2023 flat
90 Argentina 0 t 2023 flat
90 Azerbaijan 0 t 2023 flat
90 Burkina Faso 0 t 2023 flat
90 Bangladesh 0 t 2023 flat
90 Bosnia and Herzegovina 0 t 2023 down 100.0% volatile
90 Belize 0 t 2023 down 100.0% volatile
90 Barbados 0 t 2023 flat
90 Bhutan 0 t 2023 flat
90 Botswana 0 t 2023 volatile
90 Canada 0 t 2023 volatile
90 Switzerland 0 t 2023 down 100.0% volatile
90 Cameroon 0 t 2023 flat
90 Congo 0 t 2023 flat
90 Colombia 0 t 2023 flat
90 Comoros 0 t 2023 flat
90 Costa Rica 0 t 2023 volatile
90 Cuba 0 t 2019 down 100.0% volatile
90 Djibouti 0 t 2023 flat
90 Denmark 0 t 2023 flat
90 Egypt 0 t 2023 flat
90 Estonia 0 t 2023 down 100.0% volatile
90 Ethiopia 0 t 2023 volatile
90 Gabon 0 t 2023 flat
90 Georgia 0 t 2023 down 100.0% volatile
90 Ghana 0 t 2023 down 100.0% volatile
90 Guinea 0 t 2023 flat
90 Greece 0 t 2023 volatile
90 Honduras 0 t 2023 flat
90 Croatia 0 t 2023 flat
90 Haiti 0 t 2023 flat
90 Indonesia 0 t 2023 flat
90 Iraq 0 t 2023 flat
90 Iceland 0 t 2023 down 100.0% volatile
90 Jordan 0 t 2023 flat
90 Kenya 0 t 2023 flat
90 Kiribati 0 t 2023 flat
90 Liberia 0 t 2023 flat
90 Saint Lucia 0 t 2023 flat
90 Lithuania 0 t 2023 flat
90 Madagascar 0 t 2023 flat
90 Maldives 0 t 2023 flat
90 Myanmar 0 t 2023 flat
90 Mauritania 0 t 2023 flat
90 Malawi 0 t 2023 down 100.0% volatile
90 Malaysia 0 t 2023 flat
90 New Caledonia 0 t 2023 volatile
90 Niger 0 t 2023 flat
90 Nigeria 0 t 2023 flat
90 Nauru 0 t 2023 flat
90 Peru 0 t 2023 flat
90 French Polynesia 0 t 2023 flat
90 Rwanda 0 t 2023 flat
90 Senegal 0 t 2023 flat
90 Sierra Leone 0 t 2023 flat
90 El Salvador 0 t 2023 down 100.0% volatile
90 Sao Tome and Principe 0 t 2023 flat
90 Eswatini 0 t 2023 volatile
90 Thailand 0 t 2023 flat
90 Tajikistan 0 t 2023 flat
90 Turkmenistan 0 t 2023 down 100.0% volatile
90 Trinidad and Tobago 0 t 2023 flat
90 Tunisia 0 t 2023 flat
90 Tuvalu 0 t 2023 flat
90 Uganda 0 t 2023 volatile
90 Uzbekistan 0 t 2023 flat
90 Zimbabwe 0 t 2023 flat
90 Timor-Leste 0 t 2023 volatile
90 Democratic Republic of the Congo 0 t 2023 down 100.0% volatile
90 Bolivia (Plurinational State of) 0 t 2023 flat
90 China, Hong Kong SAR 0 t 2023 flat
90 Russian Federation 0 t 2023 flat
90 Syrian Arab Republic 0 t 2023 volatile
90 Venezuela (Bolivarian Republic of) 0 t 2023 flat
90 Viet Nam 0 t 2023 flat
90 Côte d'Ivoire 0 t 2023 flat
90 United Republic of Tanzania 0 t 2023 flat
90 China, Taiwan Province of 0 t 2023 flat
90 Democratic People's Republic of Korea 0 t 2018 flat
90 China, Macao SAR 0 t 2023 volatile

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
Coconut 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
202 places, 2,655 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.