Coconuts - Incl Copra — Food 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
181
Highest
9,435 1000 t
India
Lowest
0 1000 t
Lao People's Democratic Republic
Median
5 1000 t
Years covered
14
2010–2023
Data points
2,868

What the numbers show

Coconuts - Incl Copra — Food is currently reported for 181 countries. The highest value is 9,435 1000 t in India; the lowest is 0 1000 t in Lao People's Democratic Republic.

The median across all reporting countries is 5 1000 t, and the mean is 155.67 1000 t.

Over the past decade 63 countries rose and 45 fell. The largest increase was in Iraq (up 800.0%), and the largest decrease in Angola (down 100.0%).

Coconuts - Incl Copra — Food: full country ranking

#Country LatestYear 10-year changeTrend
1 India 9,435 1000 t 2023 up 32.7% rising
2 Indonesia 4,053 1000 t 2023 up 5.5% flat
3 Brazil 2,558 1000 t 2023 down 4.6% falling
4 China 1,387 1000 t 2023 up 259.3% rising
5 China, mainland 1,354 1000 t 2023 up 285.8% rising
6 Sri Lanka 1,126 1000 t 2023 up 2.2% rising
7 Myanmar 1,093 1000 t 2023 up 125.8% rising
8 Philippines 936 1000 t 2023 up 78.6% rising
9 Melanesia 783 1000 t 2023 down 4.5% flat
10 Papua New Guinea 651 1000 t 2023 down 9.2% falling
11 Caribbean 517 1000 t 2023 up 111.0% rising
12 Dominican Republic 439 1000 t 2023 up 204.9% volatile
13 Ghana 319 1000 t 2023 up 62.8% rising
14 United Republic of Tanzania 300 1000 t 2023 down 24.6% falling
15 Bangladesh 281 1000 t 2023 up 22.7% rising
15 Viet Nam 281 1000 t 2023 up 35.1% rising
17 Malaysia 192 1000 t 2023 up 67.0% rising
18 Mozambique 183 1000 t 2023 up 90.6% volatile
19 Nigeria 171 1000 t 2023 up 50.0% rising
20 Colombia 103 1000 t 2023 down 8.8% rising
21 Comoros 77 1000 t 2023 up 79.1% rising
22 Micronesia 75 1000 t 2023 up 102.7% rising
23 United Kingdom of Great Britain and Northern Ireland 73 1000 t 2023 up 2.8% rising
24 Türkiye 72 1000 t 2023 up 16.1% rising
25 Kenya 63 1000 t 2023 up 37.0% rising
25 Australia and New Zealand 63 1000 t 2023 down 4.5% rising
27 Canada 62 1000 t 2023 up 34.8% rising
28 Vanuatu 61 1000 t 2023 up 8.9% rising
29 Russian Federation 58 1000 t 2023 down 7.9% rising
30 Germany 52 1000 t 2023 up 13.0% flat
31 Australia 51 1000 t 2023 down 7.3% rising
32 El Salvador 48 1000 t 2023 up 23.1% rising
33 United Arab Emirates 47 1000 t 2023 up 14.6% rising
33 Poland 47 1000 t 2023 up 30.6% rising
35 Thailand 43 1000 t 2023 down 93.0% falling
36 Peru 40 1000 t 2023 up 33.3% rising
37 Solomon Islands 38 1000 t 2023 up 8.6% rising
38 Cuba 37 1000 t 2019 down 42.2% falling
38 Kiribati 37 1000 t 2023 unchanged flat
40 Iraq 36 1000 t 2023 up 800.0% volatile
41 Iran (Islamic Republic of) 34 1000 t 2023 up 36.0% falling
42 Guinea 32 1000 t 2023 up 52.4% rising
43 Haiti 31 1000 t 2023 up 47.6% volatile
44 Egypt 30 1000 t 2023 down 11.8% rising
44 France 30 1000 t 2023 down 9.1% flat
46 Belgium 27 1000 t 2023 down 18.2% falling
46 Fiji 27 1000 t 2023 up 237.5% volatile
46 Mexico 27 1000 t 2023 up 3.8% falling
46 Polynesia 27 1000 t 2023 down 34.1% falling
46 Micronesia (Federated States of) 27 1000 t 2023 rising
51 Spain 25 1000 t 2023 up 56.2% rising
52 Madagascar 23 1000 t 2023 down 32.4% falling
53 Saudi Arabia 22 1000 t 2023 down 4.3% falling
53 China, Taiwan Province of 22 1000 t 2023 down 21.4% falling
55 Pakistan 21 1000 t 2023 down 19.2% falling
56 Senegal 20 1000 t 2023 down 20.0% rising
57 Argentina 19 1000 t 2023 up 26.7% rising
58 Italy 18 1000 t 2023 unchanged flat
58 Morocco 18 1000 t 2023 up 500.0% volatile
58 Oman 18 1000 t 2023 up 80.0% rising
61 Nepal 17 1000 t 2023 up 41.7% rising
62 Panama 16 1000 t 2023 up 33.3% rising
63 Republic of Korea 15 1000 t 2023 unchanged rising
64 Guatemala 14 1000 t 2023 down 33.3% falling
65 Czechia 13 1000 t 2023 up 85.7% rising
66 Guinea-Bissau 12 1000 t 2023 volatile
66 New Zealand 12 1000 t 2023 up 9.1% rising
66 French Polynesia 12 1000 t 2023 up 71.4% rising
69 Qatar 11 1000 t 2023 falling
69 Samoa 11 1000 t 2023 down 67.6% volatile
69 Netherlands (Kingdom of the) 11 1000 t 2023 down 47.6% volatile
72 Cambodia 10 1000 t 2023 unchanged rising
72 Ukraine 10 1000 t 2023 up 25.0% rising
72 Timor-Leste 10 1000 t 2023 volatile
72 China, Hong Kong SAR 10 1000 t 2023 up 42.9% rising
76 Jordan 9 1000 t 2023 up 12.5% rising
76 Liberia 9 1000 t 2023 up 50.0% rising
76 Marshall Islands 9 1000 t 2023 falling
76 Portugal 9 1000 t 2023 down 10.0% falling
76 Trinidad and Tobago 9 1000 t 2023 up 125.0% falling
81 Austria 8 1000 t 2023 up 33.3% rising
81 Honduras 8 1000 t 2023 down 20.0% falling
83 Chile 7 1000 t 2023 down 12.5% rising
83 Denmark 7 1000 t 2023 down 22.2% falling
83 Sweden 7 1000 t 2023 up 40.0% rising
86 Ecuador 6 1000 t 2023 unchanged rising
86 Israel 6 1000 t 2023 unchanged rising
86 Kuwait 6 1000 t 2023 down 33.3% rising
86 New Caledonia 6 1000 t 2023 up 50.0% rising
86 Sierra Leone 6 1000 t 2023 up 50.0% rising
91 Bahrain 5 1000 t 2023 rising
91 Switzerland 5 1000 t 2023 unchanged rising
91 Ireland 5 1000 t 2023 up 150.0% rising
91 Romania 5 1000 t 2023 up 25.0% rising
91 Seychelles 5 1000 t 2023 up 150.0% rising
91 Cabo Verde 5 1000 t 2023 up 66.7% rising
91 Syrian Arab Republic 5 1000 t 2023 up 66.7% falling
91 Venezuela (Bolivarian Republic of) 5 1000 t 2023 down 61.5% volatile
99 Costa Rica 4 1000 t 2023 up 300.0% falling
99 Greece 4 1000 t 2023 unchanged falling
99 Guyana 4 1000 t 2023 down 78.9% volatile
99 Hungary 4 1000 t 2023 down 33.3% rising
99 Libya 4 1000 t 2023 up 100.0% volatile
99 Saint Lucia 4 1000 t 2023 up 300.0% volatile
99 Niger 4 1000 t 2023 down 75.0% falling
106 Bahamas 3 1000 t 2023 unchanged flat
106 Congo 3 1000 t 2023 unchanged flat
106 Algeria 3 1000 t 2023 down 40.0% falling
106 Lebanon 3 1000 t 2023 down 25.0% falling
106 Mauritius 3 1000 t 2023 unchanged falling
106 Serbia 3 1000 t 2023 unchanged flat
106 Tonga 3 1000 t 2023 falling
106 Uruguay 3 1000 t 2023 down 62.5% volatile
106 Yemen 3 1000 t 2023 up 50.0% volatile
106 Bolivia (Plurinational State of) 3 1000 t 2023 up 200.0% rising
116 Azerbaijan 2 1000 t 2023 volatile
116 Burkina Faso 2 1000 t 2023 unchanged volatile
116 Bulgaria 2 1000 t 2023 down 33.3% falling
116 Barbados 2 1000 t 2023 unchanged falling
116 Grenada 2 1000 t 2023 unchanged flat
116 Croatia 2 1000 t 2023 up 100.0% volatile
116 Maldives 2 1000 t 2023 volatile
116 Nicaragua 2 1000 t 2023 down 60.0% falling
116 Norway 2 1000 t 2023 down 33.3% falling
116 Nauru 2 1000 t 2023 flat
116 Tuvalu 2 1000 t 2023 flat
127 Afghanistan 1 1000 t 2023 volatile
127 Albania 1 1000 t 2023 volatile
127 Armenia 1 1000 t 2023 volatile
127 Bosnia and Herzegovina 1 1000 t 2023 volatile
127 Belize 1 1000 t 2023 unchanged volatile
127 Bhutan 1 1000 t 2023 volatile
127 Cyprus 1 1000 t 2023 unchanged volatile
127 Georgia 1 1000 t 2023 volatile
127 Iceland 1 1000 t 2023 volatile
127 Kazakhstan 1 1000 t 2023 unchanged volatile
127 Saint Kitts and Nevis 1 1000 t 2023 unchanged rising
127 Lithuania 1 1000 t 2023 unchanged flat
127 Latvia 1 1000 t 2023 volatile
127 North Macedonia 1 1000 t 2023 volatile
127 Paraguay 1 1000 t 2023 unchanged volatile
127 Sao Tome and Principe 1 1000 t 2023 down 95.7% volatile
127 Slovakia 1 1000 t 2023 down 66.7% falling
127 Slovenia 1 1000 t 2023 down 50.0% falling
127 Uzbekistan 1 1000 t 2023 volatile
127 Zambia 1 1000 t 2023 volatile
127 China, Macao SAR 1 1000 t 2023 volatile
148 Angola 0 1000 t 2023 down 100.0% volatile
148 Antigua and Barbuda 0 1000 t 2023 flat
148 Belarus 0 1000 t 2023 down 100.0% volatile
148 Botswana 0 1000 t 2023 flat
148 Cameroon 0 1000 t 2023 flat
148 Djibouti 0 1000 t 2023 flat
148 Estonia 0 1000 t 2023 flat
148 Ethiopia 0 1000 t 2023 flat
148 Finland 0 1000 t 2023 flat
148 Gabon 0 1000 t 2023 flat
148 Gambia 0 1000 t 2023 flat
148 Jamaica 0 1000 t 2023 down 100.0% volatile
148 Kyrgyzstan 0 1000 t 2023 volatile
148 Lesotho 0 1000 t 2023 flat
148 Luxembourg 0 1000 t 2023 flat
148 Malta 0 1000 t 2023 flat
148 Montenegro 0 1000 t 2023 flat
148 Mongolia 0 1000 t 2023 flat
148 Mauritania 0 1000 t 2023 flat
148 Malawi 0 1000 t 2023 flat
148 Namibia 0 1000 t 2023 volatile
148 Rwanda 0 1000 t 2023 flat
148 Suriname 0 1000 t 2023 down 100.0% volatile
148 Eswatini 0 1000 t 2023 flat
148 Tajikistan 0 1000 t 2023 flat
148 Turkmenistan 0 1000 t 2023 flat
148 Tunisia 0 1000 t 2023 down 100.0% volatile
148 Uganda 0 1000 t 2023 flat
148 Saint Vincent and the Grenadines 0 1000 t 2023 flat
148 Zimbabwe 0 1000 t 2023 flat
148 Democratic Republic of the Congo 0 1000 t 2023 flat
148 Republic of Moldova 0 1000 t 2023 volatile
148 Côte d'Ivoire 0 1000 t 2023 volatile
148 Lao People's Democratic Republic 0 1000 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
Coconuts - Incl Copra — Food
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
212 places, 2,868 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.