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
169
Highest
9,435 1000 t
India
Lowest
0 1000 t
Lao People's Democratic Republic
Median
9 1000 t
Years covered
14
2010–2023
Data points
3,008

What the numbers show

Coconuts - Incl Copra — Food is currently reported for 169 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 9 1000 t, and the mean is 171.09 1000 t.

Over the past decade 67 countries rose and 48 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 Vietnam 281 1000 t 2023 up 35.1% rising
15 Viet Nam 281 1000 t 2023 up 35.1% rising
18 United States 214 1000 t 2023 down 2.3% rising
19 Malaysia 192 1000 t 2023 up 67.0% rising
20 Mozambique 183 1000 t 2023 up 90.6% volatile
21 Nigeria 171 1000 t 2023 up 50.0% rising
22 Colombia 103 1000 t 2023 down 8.8% rising
23 Comoros 77 1000 t 2023 up 79.1% rising
24 Micronesia 75 1000 t 2023 up 102.7% rising
25 United Kingdom 73 1000 t 2023 up 2.8% rising
25 United Kingdom of Great Britain and Northern Ireland 73 1000 t 2023 up 2.8% rising
27 Turkey 72 1000 t 2023 up 16.1% rising
27 Türkiye 72 1000 t 2023 up 16.1% rising
29 Kenya 63 1000 t 2023 up 37.0% rising
29 Australia and New Zealand 63 1000 t 2023 down 4.5% rising
31 Canada 62 1000 t 2023 up 34.8% rising
32 Vanuatu 61 1000 t 2023 up 8.9% rising
33 Russia 58 1000 t 2023 down 7.9% rising
33 Russian Federation 58 1000 t 2023 down 7.9% rising
35 Germany 52 1000 t 2023 up 13.0% flat
36 Australia 51 1000 t 2023 down 7.3% rising
37 El Salvador 48 1000 t 2023 up 23.1% rising
38 United Arab Emirates 47 1000 t 2023 up 14.6% rising
38 Poland 47 1000 t 2023 up 30.6% rising
40 Thailand 43 1000 t 2023 down 93.0% falling
41 Peru 40 1000 t 2023 up 33.3% rising
42 Solomon Islands 38 1000 t 2023 up 8.6% rising
43 Cuba 37 1000 t 2019 down 42.2% falling
43 Kiribati 37 1000 t 2023 unchanged flat
45 Iraq 36 1000 t 2023 up 800.0% volatile
46 Iran (Islamic Republic of) 34 1000 t 2023 up 36.0% falling
47 Guinea 32 1000 t 2023 up 52.4% rising
48 Haiti 31 1000 t 2023 up 47.6% volatile
49 Egypt 30 1000 t 2023 down 11.8% rising
49 France 30 1000 t 2023 down 9.1% flat
51 Belgium 27 1000 t 2023 down 18.2% falling
51 Fiji 27 1000 t 2023 up 237.5% volatile
51 Mexico 27 1000 t 2023 up 3.8% falling
51 Polynesia 27 1000 t 2023 down 34.1% falling
51 Micronesia (Federated States of) 27 1000 t 2023 — rising
56 Spain 25 1000 t 2023 up 56.2% rising
57 Madagascar 23 1000 t 2023 down 32.4% falling
58 Saudi Arabia 22 1000 t 2023 down 4.3% falling
58 South Africa 22 1000 t 2023 down 18.5% falling
58 China, Taiwan Province of 22 1000 t 2023 down 21.4% falling
61 Pakistan 21 1000 t 2023 down 19.2% falling
62 Senegal 20 1000 t 2023 down 20.0% rising
63 Argentina 19 1000 t 2023 up 26.7% rising
64 Italy 18 1000 t 2023 unchanged flat
64 Morocco 18 1000 t 2023 up 500.0% volatile
64 Oman 18 1000 t 2023 up 80.0% rising
67 Nepal 17 1000 t 2023 up 41.7% rising
68 Panama 16 1000 t 2023 up 33.3% rising
69 Republic of Korea 15 1000 t 2023 unchanged rising
70 Guatemala 14 1000 t 2023 down 33.3% falling
71 Czechia 13 1000 t 2023 up 85.7% rising
72 Guinea-Bissau 12 1000 t 2023 — volatile
72 New Zealand 12 1000 t 2023 up 9.1% rising
72 French Polynesia 12 1000 t 2023 up 71.4% rising
75 Qatar 11 1000 t 2023 — falling
75 Samoa 11 1000 t 2023 down 67.6% volatile
75 Netherlands (Kingdom of the) 11 1000 t 2023 down 47.6% volatile
78 Cambodia 10 1000 t 2023 unchanged rising
78 East Timor 10 1000 t 2023 — volatile
78 Ukraine 10 1000 t 2023 up 25.0% rising
78 Timor-Leste 10 1000 t 2023 — volatile
78 China, Hong Kong SAR 10 1000 t 2023 up 42.9% rising
83 Jordan 9 1000 t 2023 up 12.5% rising
83 Liberia 9 1000 t 2023 up 50.0% rising
83 Marshall Islands 9 1000 t 2023 — falling
83 Portugal 9 1000 t 2023 down 10.0% falling
83 Trinidad and Tobago 9 1000 t 2023 up 125.0% falling
88 Austria 8 1000 t 2023 up 33.3% rising
88 Honduras 8 1000 t 2023 down 20.0% falling
90 Chile 7 1000 t 2023 down 12.5% rising
90 Denmark 7 1000 t 2023 down 22.2% falling
90 Sweden 7 1000 t 2023 up 40.0% rising
93 Ecuador 6 1000 t 2023 unchanged rising
93 Israel 6 1000 t 2023 unchanged rising
93 Kuwait 6 1000 t 2023 down 33.3% rising
93 New Caledonia 6 1000 t 2023 up 50.0% rising
93 Sierra Leone 6 1000 t 2023 up 50.0% rising
98 Bahrain 5 1000 t 2023 — rising
98 Switzerland 5 1000 t 2023 unchanged rising
98 Ireland 5 1000 t 2023 up 150.0% rising
98 Romania 5 1000 t 2023 up 25.0% rising
98 Seychelles 5 1000 t 2023 up 150.0% rising
98 Syria 5 1000 t 2023 up 66.7% falling
98 Cabo Verde 5 1000 t 2023 up 66.7% rising
98 Syrian Arab Republic 5 1000 t 2023 up 66.7% falling
98 Venezuela (Bolivarian Republic of) 5 1000 t 2023 down 61.5% volatile
107 Costa Rica 4 1000 t 2023 up 300.0% falling
107 Greece 4 1000 t 2023 unchanged falling
107 Guyana 4 1000 t 2023 down 78.9% volatile
107 Hungary 4 1000 t 2023 down 33.3% rising
107 Libya 4 1000 t 2023 up 100.0% volatile
107 Saint Lucia 4 1000 t 2023 up 300.0% volatile
107 Niger 4 1000 t 2023 down 75.0% falling
114 Bahamas 3 1000 t 2023 unchanged flat
114 Congo 3 1000 t 2023 unchanged flat
114 Algeria 3 1000 t 2023 down 40.0% falling
114 Lebanon 3 1000 t 2023 down 25.0% falling
114 Mauritius 3 1000 t 2023 unchanged falling
114 Serbia 3 1000 t 2023 unchanged flat
114 Tonga 3 1000 t 2023 — falling
114 Uruguay 3 1000 t 2023 down 62.5% volatile
114 Yemen 3 1000 t 2023 up 50.0% volatile
114 Bolivia (Plurinational State of) 3 1000 t 2023 up 200.0% rising
124 Azerbaijan 2 1000 t 2023 — volatile
124 Burkina Faso 2 1000 t 2023 unchanged volatile
124 Bulgaria 2 1000 t 2023 down 33.3% falling
124 Barbados 2 1000 t 2023 unchanged falling
124 Grenada 2 1000 t 2023 unchanged flat
124 Croatia 2 1000 t 2023 up 100.0% volatile
124 Maldives 2 1000 t 2023 — volatile
124 Nicaragua 2 1000 t 2023 down 60.0% falling
124 Norway 2 1000 t 2023 down 33.3% falling
124 Nauru 2 1000 t 2023 — flat
124 Tuvalu 2 1000 t 2023 — flat
124 Nauru 2 1000 t 2023 — flat
136 Afghanistan 1 1000 t 2023 — volatile
136 Albania 1 1000 t 2023 — volatile
136 Armenia 1 1000 t 2023 — volatile
136 Bosnia and Herzegovina 1 1000 t 2023 — volatile
136 Belize 1 1000 t 2023 unchanged volatile
136 Bhutan 1 1000 t 2023 — volatile
136 Cyprus 1 1000 t 2023 unchanged volatile
136 Georgia 1 1000 t 2023 — volatile
136 Iceland 1 1000 t 2023 — volatile
136 Kazakhstan 1 1000 t 2023 unchanged volatile
136 Saint Kitts and Nevis 1 1000 t 2023 unchanged rising
136 Lithuania 1 1000 t 2023 unchanged flat
136 Latvia 1 1000 t 2023 — volatile
136 North Macedonia 1 1000 t 2023 — volatile
136 Paraguay 1 1000 t 2023 unchanged volatile
136 Sao Tome and Principe 1 1000 t 2023 down 95.7% volatile
136 Slovakia 1 1000 t 2023 down 66.7% falling
136 Slovenia 1 1000 t 2023 down 50.0% falling
136 Uzbekistan 1 1000 t 2023 — volatile
136 Zambia 1 1000 t 2023 — volatile
136 China, Macao SAR 1 1000 t 2023 — volatile
157 Angola 0 1000 t 2023 down 100.0% volatile
157 Belarus 0 1000 t 2023 down 100.0% volatile
157 Cote d'Ivoire 0 1000 t 2023 — volatile
157 Jamaica 0 1000 t 2023 down 100.0% volatile
157 Kyrgyzstan 0 1000 t 2023 — volatile
157 Laos 0 1000 t 2023 — volatile
157 Moldova 0 1000 t 2023 — volatile
157 Namibia 0 1000 t 2023 — volatile
157 Suriname 0 1000 t 2023 down 100.0% volatile
157 Tunisia 0 1000 t 2023 down 100.0% volatile
157 Republic of Moldova 0 1000 t 2023 — volatile
157 Côte d'Ivoire 0 1000 t 2023 — volatile
157 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.

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Coconuts - Incl Copra — Food by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 01 October 2026, from https://agriculture.statizoid.com/stat/coconuts-incl-copra-food/

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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
223 places, 3,008 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.