Coconuts - Incl Copra — Processing 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
80
Highest
8,839 1000 t
Philippines
Lowest
0 1000 t
Australia and New Zealand
Median
9 1000 t
Years covered
14
2010–2023
Data points
1,355

What the numbers show

Coconuts - Incl Copra — Processing is currently reported for 80 countries. The highest value is 8,839 1000 t in Philippines; the lowest is 0 1000 t in Australia and New Zealand.

The median across all reporting countries is 9 1000 t, and the mean is 289.54 1000 t.

Over the past decade 21 countries rose and 34 fell. The largest increase was in Brazil (up 492.6%), and the largest decrease in Colombia (down 100.0%).

Coconuts - Incl Copra — Processing: full country ranking

#Country LatestYear 10-year changeTrend
1 Philippines 8,839 1000 t 2023 down 16.6% falling
2 Indonesia 5,385 1000 t 2023 down 24.0% falling
3 India 2,970 1000 t 2023 down 1.9% falling
4 Viet Nam 947 1000 t 2023 up 32.1% rising
5 Mexico 822 1000 t 2023 down 18.9% falling
6 Melanesia 486 1000 t 2023 up 9.5% falling
7 Malaysia 472 1000 t 2023 up 4.4% rising
8 Papua New Guinea 353 1000 t 2023 up 20.9% falling
9 Sri Lanka 318 1000 t 2023 up 2.3% falling
10 Bangladesh 263 1000 t 2023 up 60.4% rising
11 Thailand 237 1000 t 2023 down 6.7% falling
12 Mozambique 172 1000 t 2023 up 19.4% rising
13 Brazil 160 1000 t 2023 up 492.6% volatile
14 Caribbean 155 1000 t 2023 up 34.8% rising
15 United Republic of Tanzania 151 1000 t 2023 up 9.4% falling
16 Polynesia 146 1000 t 2023 up 8.1% rising
17 Venezuela (Bolivarian Republic of) 115 1000 t 2023 down 5.0% rising
18 Micronesia 109 1000 t 2023 up 202.8% volatile
19 Côte d'Ivoire 94 1000 t 2023 down 14.5% falling
20 Nigeria 86 1000 t 2023 down 31.2% falling
21 Jamaica 85 1000 t 2023 up 73.5% rising
22 Cambodia 68 1000 t 2023 up 23.6% rising
23 Ghana 67 1000 t 2023 down 30.2% falling
24 Tonga 61 1000 t 2023 rising
25 Pakistan 54 1000 t 2023 up 25.6% rising
26 Solomon Islands 52 1000 t 2023 up 108.0% rising
27 Dominican Republic 48 1000 t 2023 up 37.1% rising
28 French Polynesia 47 1000 t 2023 down 34.7% falling
29 Micronesia (Federated States of) 43 1000 t 2023 flat
30 Fiji 40 1000 t 2023 down 18.4% falling
30 Vanuatu 40 1000 t 2023 down 48.7% falling
32 Samoa 38 1000 t 2023 down 39.7% volatile
33 Guinea 33 1000 t 2023 up 32.0% rising
33 Guinea-Bissau 33 1000 t 2023 down 17.5% falling
33 Kiribati 33 1000 t 2023 down 8.3% rising
36 Marshall Islands 32 1000 t 2023 rising
37 Madagascar 26 1000 t 2023 down 33.3% falling
38 El Salvador 11 1000 t 2023 up 37.5% flat
38 Trinidad and Tobago 11 1000 t 2023 down 15.4% rising
40 Ecuador 9 1000 t 2023 down 18.2% falling
40 Kenya 9 1000 t 2023 down 18.2% falling
42 Nepal 6 1000 t 2023 volatile
43 Guyana 5 1000 t 2023 down 58.3% volatile
43 Honduras 5 1000 t 2023 unchanged falling
45 Cameroon 4 1000 t 2023 unchanged falling
45 Grenada 4 1000 t 2023 up 33.3% rising
47 China 3 1000 t 2023 down 25.0% falling
47 China, Hong Kong SAR 3 1000 t 2023 down 25.0% falling
49 Costa Rica 2 1000 t 2023 unchanged falling
49 Saint Kitts and Nevis 2 1000 t 2023 up 100.0% rising
49 Saint Lucia 2 1000 t 2023 down 80.0% volatile
52 New Caledonia 1 1000 t 2023 down 50.0% volatile
52 Nauru 1 1000 t 2023 flat
52 Panama 1 1000 t 2023 volatile
52 Suriname 1 1000 t 2023 down 88.9% falling
52 Saint Vincent and the Grenadines 1 1000 t 2023 down 66.7% falling
52 Timor-Leste 1 1000 t 2023 down 75.0% volatile
52 Republic of Korea 1 1000 t 2023 down 92.3% volatile
59 Belgium 0 1000 t 2023 volatile
59 Colombia 0 1000 t 2023 down 100.0% volatile
59 Comoros 0 1000 t 2023 down 100.0% volatile
59 Cuba 0 1000 t 2019 flat
59 Denmark 0 1000 t 2021 flat
59 Spain 0 1000 t 2015 flat
59 Finland 0 1000 t 2021 flat
59 Ireland 0 1000 t 2021 flat
59 Iraq 0 1000 t 2021 down 100.0% volatile
59 Italy 0 1000 t 2023 down 100.0% volatile
59 Maldives 0 1000 t 2023 volatile
59 Myanmar 0 1000 t 2014 flat
59 Mauritius 0 1000 t 2023 flat
59 Nicaragua 0 1000 t 2023 volatile
59 New Zealand 0 1000 t 2018 flat
59 Poland 0 1000 t 2020 volatile
59 Portugal 0 1000 t 2017 flat
59 Sao Tome and Principe 0 1000 t 2023 down 100.0% volatile
59 Eswatini 0 1000 t 2018 flat
59 Seychelles 0 1000 t 2023 flat
59 Tuvalu 0 1000 t 2023 flat
59 Australia and New Zealand 0 1000 t 2018 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.

About this data

Indicator
Coconuts - Incl Copra — Processing
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
107 places, 1,355 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.