Statizoid

Coconuts - Incl Copra — Residuals 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
81 1000 t
Vanuatu
Lowest
-93 1000 t
Mozambique
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,872

What the numbers show

Coconuts - Incl Copra — Residuals is currently reported for 181 countries. The highest value is 81 1000 t in Vanuatu; the lowest is -93 1000 t in Mozambique.

The median across all reporting countries is 0 1000 t, and the mean is -0.5028 1000 t.

Over the past decade 14 countries rose and 5 fell. The largest increase was in Melanesia (up 145.3%), and the largest decrease in Canada (down 100.0%).

Coconuts - Incl Copra — Residuals: full country ranking

#Country LatestYear 10-year changeTrend
1 Vanuatu 81 1000 t 2023 — volatile
2 Melanesia 29 1000 t 2023 up 145.3% volatile
3 Polynesia 14 1000 t 2023 — volatile
4 French Polynesia 13 1000 t 2023 — volatile
5 Samoa 1 1000 t 2023 — volatile
6 Afghanistan 0 1000 t 2023 — volatile
6 Angola 0 1000 t 2023 — flat
6 Albania 0 1000 t 2023 — flat
6 United Arab Emirates 0 1000 t 2023 — flat
6 Argentina 0 1000 t 2023 — flat
6 Armenia 0 1000 t 2023 — flat
6 Antigua and Barbuda 0 1000 t 2023 — flat
6 Australia 0 1000 t 2023 — flat
6 Austria 0 1000 t 2023 — flat
6 Azerbaijan 0 1000 t 2023 — flat
6 Belgium 0 1000 t 2023 — volatile
6 Burkina Faso 0 1000 t 2023 — volatile
6 Bangladesh 0 1000 t 2023 — flat
6 Bulgaria 0 1000 t 2023 — flat
6 Bahrain 0 1000 t 2023 — flat
6 Bahamas 0 1000 t 2023 — flat
6 Bosnia and Herzegovina 0 1000 t 2023 — flat
6 Belarus 0 1000 t 2023 — flat
6 Brazil 0 1000 t 2023 — flat
6 Barbados 0 1000 t 2023 — flat
6 Bhutan 0 1000 t 2023 — flat
6 Botswana 0 1000 t 2023 — flat
6 Canada 0 1000 t 2023 down 100.0% volatile
6 Switzerland 0 1000 t 2023 — flat
6 Chile 0 1000 t 2023 — flat
6 China 0 1000 t 2023 down 100.0% volatile
6 Cameroon 0 1000 t 2023 — flat
6 Congo 0 1000 t 2023 — flat
6 Colombia 0 1000 t 2023 up 100.0% volatile
6 Comoros 0 1000 t 2023 — flat
6 Cuba 0 1000 t 2019 — flat
6 Cyprus 0 1000 t 2023 — flat
6 Czechia 0 1000 t 2023 — flat
6 Germany 0 1000 t 2023 — flat
6 Djibouti 0 1000 t 2023 — flat
6 Denmark 0 1000 t 2023 — volatile
6 Dominican Republic 0 1000 t 2023 — volatile
6 Algeria 0 1000 t 2023 — flat
6 Ecuador 0 1000 t 2023 — flat
6 Spain 0 1000 t 2023 — flat
6 Estonia 0 1000 t 2023 — flat
6 Ethiopia 0 1000 t 2023 — flat
6 Finland 0 1000 t 2023 — flat
6 Gabon 0 1000 t 2023 — flat
6 Georgia 0 1000 t 2023 — flat
6 Ghana 0 1000 t 2023 — volatile
6 Guinea 0 1000 t 2023 — flat
6 Gambia 0 1000 t 2023 — volatile
6 Guinea-Bissau 0 1000 t 2023 — flat
6 Greece 0 1000 t 2023 — volatile
6 Grenada 0 1000 t 2023 — flat
6 Guatemala 0 1000 t 2023 — flat
6 Guyana 0 1000 t 2023 — volatile
6 Honduras 0 1000 t 2023 — flat
6 Croatia 0 1000 t 2023 — flat
6 Haiti 0 1000 t 2023 — flat
6 Hungary 0 1000 t 2023 — flat
6 Indonesia 0 1000 t 2023 down 100.0% volatile
6 India 0 1000 t 2023 — volatile
6 Ireland 0 1000 t 2023 — flat
6 Iraq 0 1000 t 2023 — flat
6 Iceland 0 1000 t 2023 — flat
6 Israel 0 1000 t 2023 — flat
6 Italy 0 1000 t 2023 — flat
6 Jamaica 0 1000 t 2023 up 100.0% volatile
6 Jordan 0 1000 t 2023 — flat
6 Kazakhstan 0 1000 t 2023 — volatile
6 Kenya 0 1000 t 2023 up 100.0% volatile
6 Kyrgyzstan 0 1000 t 2023 — flat
6 Cambodia 0 1000 t 2023 — flat
6 Kiribati 0 1000 t 2023 up 100.0% volatile
6 Saint Kitts and Nevis 0 1000 t 2023 — flat
6 Kuwait 0 1000 t 2023 down 100.0% volatile
6 Lebanon 0 1000 t 2023 — flat
6 Liberia 0 1000 t 2023 — flat
6 Libya 0 1000 t 2023 — flat
6 Saint Lucia 0 1000 t 2023 — flat
6 Sri Lanka 0 1000 t 2023 — flat
6 Lesotho 0 1000 t 2023 — flat
6 Lithuania 0 1000 t 2023 — flat
6 Luxembourg 0 1000 t 2023 — flat
6 Latvia 0 1000 t 2023 — flat
6 Morocco 0 1000 t 2023 — flat
6 Madagascar 0 1000 t 2023 — volatile
6 Maldives 0 1000 t 2023 — flat
6 Mexico 0 1000 t 2023 — volatile
6 Marshall Islands 0 1000 t 2023 — volatile
6 North Macedonia 0 1000 t 2023 — flat
6 Malta 0 1000 t 2023 — flat
6 Myanmar 0 1000 t 2023 — volatile
6 Montenegro 0 1000 t 2023 — flat
6 Mongolia 0 1000 t 2023 — flat
6 Mauritania 0 1000 t 2023 — flat
6 Mauritius 0 1000 t 2023 — volatile
6 Malawi 0 1000 t 2023 — flat
6 Malaysia 0 1000 t 2023 — flat
6 Namibia 0 1000 t 2023 — flat
6 New Caledonia 0 1000 t 2023 — flat
6 Niger 0 1000 t 2023 — flat
6 Nigeria 0 1000 t 2023 — flat
6 Nicaragua 0 1000 t 2023 — volatile
6 Norway 0 1000 t 2023 — flat
6 Nepal 0 1000 t 2023 — flat
6 Nauru 0 1000 t 2023 — flat
6 New Zealand 0 1000 t 2023 — flat
6 Oman 0 1000 t 2023 — volatile
6 Pakistan 0 1000 t 2023 — flat
6 Panama 0 1000 t 2023 up 100.0% volatile
6 Peru 0 1000 t 2023 — flat
6 Philippines 0 1000 t 2023 up 100.0% volatile
6 Papua New Guinea 0 1000 t 2023 — volatile
6 Poland 0 1000 t 2023 — flat
6 Portugal 0 1000 t 2023 — flat
6 Paraguay 0 1000 t 2023 — flat
6 Qatar 0 1000 t 2023 — flat
6 Romania 0 1000 t 2023 — flat
6 Rwanda 0 1000 t 2023 — flat
6 Saudi Arabia 0 1000 t 2023 — flat
6 Senegal 0 1000 t 2023 — flat
6 Solomon Islands 0 1000 t 2023 — flat
6 Sierra Leone 0 1000 t 2023 — flat
6 El Salvador 0 1000 t 2023 — flat
6 Serbia 0 1000 t 2023 — flat
6 Sao Tome and Principe 0 1000 t 2023 — volatile
6 Suriname 0 1000 t 2023 — flat
6 Slovakia 0 1000 t 2023 — flat
6 Slovenia 0 1000 t 2023 — flat
6 Sweden 0 1000 t 2023 — flat
6 Eswatini 0 1000 t 2023 — flat
6 Seychelles 0 1000 t 2023 — flat
6 Thailand 0 1000 t 2023 — volatile
6 Tajikistan 0 1000 t 2023 — flat
6 Turkmenistan 0 1000 t 2023 — flat
6 Tonga 0 1000 t 2023 — volatile
6 Trinidad and Tobago 0 1000 t 2023 — volatile
6 Tunisia 0 1000 t 2023 — flat
6 Tuvalu 0 1000 t 2023 — flat
6 Uganda 0 1000 t 2023 — volatile
6 Ukraine 0 1000 t 2023 — flat
6 Uruguay 0 1000 t 2023 — flat
6 Uzbekistan 0 1000 t 2023 — flat
6 Saint Vincent and the Grenadines 0 1000 t 2023 up 100.0% volatile
6 Yemen 0 1000 t 2023 — flat
6 Zambia 0 1000 t 2023 — flat
6 Zimbabwe 0 1000 t 2023 — flat
6 Micronesia 0 1000 t 2023 up 100.0% volatile
6 Timor-Leste 0 1000 t 2023 — flat
6 Cabo Verde 0 1000 t 2023 — flat
6 Democratic Republic of the Congo 0 1000 t 2023 — flat
6 Caribbean 0 1000 t 2023 up 100.0% volatile
6 Bolivia (Plurinational State of) 0 1000 t 2023 — flat
6 China, Hong Kong SAR 0 1000 t 2023 — volatile
6 Iran (Islamic Republic of) 0 1000 t 2023 — volatile
6 Republic of Korea 0 1000 t 2023 — flat
6 Republic of Moldova 0 1000 t 2023 — flat
6 Russian Federation 0 1000 t 2023 — flat
6 Syrian Arab Republic 0 1000 t 2023 — flat
6 Venezuela (Bolivarian Republic of) 0 1000 t 2023 up 100.0% volatile
6 Viet Nam 0 1000 t 2023 — flat
6 Türkiye 0 1000 t 2023 — flat
6 Australia and New Zealand 0 1000 t 2023 — flat
6 China, mainland 0 1000 t 2023 — flat
6 Lao People's Democratic Republic 0 1000 t 2023 — volatile
6 United Republic of Tanzania 0 1000 t 2023 — flat
6 China, Taiwan Province of 0 1000 t 2023 down 100.0% volatile
6 Netherlands (Kingdom of the) 0 1000 t 2023 — volatile
6 United Kingdom of Great Britain and Northern Ireland 0 1000 t 2023 — volatile
6 Micronesia (Federated States of) 0 1000 t 2023 — flat
6 China, Macao SAR 0 1000 t 2023 — flat
175 Belize -2 1000 t 2023 — volatile
176 Egypt -3 1000 t 2023 up 89.7% volatile
177 Costa Rica -10 1000 t 2023 — volatile
178 France -32 1000 t 2023 — volatile
179 Côte d'Ivoire -37 1000 t 2023 up 47.9% volatile
180 Fiji -52 1000 t 2023 up 18.8% rising
181 Mozambique -93 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 — Residuals
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
212 places, 2,872 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.