Coconuts - Incl Copra — Residuals in South America

South America: Coconuts - Incl Copra — Residuals was 0 1000 t in 2023. ◆ Volatile

Latest (2023)
0 1000 t
Rank
2nd
of 29 groups
All-time high
0 1000 t
in 2019
All-time low
-16 1000 t
in 2010
Years of data
14
2010–2023

Coconuts - Incl Copra — Residuals in South America, 2010–2023

-15-10-502010201620232010: -16 1000 t2011: -16 1000 t2012: -10 1000 t2013: -5 1000 t2014: -9 1000 t2015: -8 1000 t2016: -5 1000 t2017: -8 1000 t2018: -6 1000 t2019: 0 1000 t2020: 0 1000 t2021: 0 1000 t2022: 0 1000 t2023: 0 1000 t

Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.

Analysis

South America recorded 0 1000 t for coconuts - incl copra — residuals in 2023. That is the highest value across all 14 years on record.

Compared with earlier readings it is up 100.0% over ten years.

Over the whole period, coconuts - incl copra — residuals in South America peaked at 0 1000 t in 2019 and was at its lowest, -16 1000 t, in 2010.

That places South America 2nd out of 29 groups with data for 2023, putting it in the top 10%.

The series is highly variable year to year, so single readings are best treated with caution.

Averages by decade

DecadeAverage LowestHighest Years
2010s -8.3 1000 t -16 1000 t 0 1000 t 10
2020s 0 1000 t 0 1000 t 0 1000 t 4

Countries ranked near South America

  1. 1 Vanuatu 81 1000 t compare
  2. 2 French Polynesia 13 1000 t compare
  3. 3 Samoa 1 1000 t compare
  4. 4 Tuvalu 0 1000 t
  5. 4 Nauru 0 1000 t
  6. 4 Tonga 0 1000 t compare
  7. 4 Marshall Islands 0 1000 t compare
  8. 4 Qatar 0 1000 t
  9. 4 Bhutan 0 1000 t
  10. 4 Bahrain 0 1000 t
  11. 4 Cuba 0 1000 t
  12. 4 Turkmenistan 0 1000 t
  13. 4 Kiribati 0 1000 t compare
  14. 4 Djibouti 0 1000 t
  15. 4 Comoros 0 1000 t
  16. 4 Sao Tome and Principe 0 1000 t compare
  17. 4 Afghanistan 0 1000 t compare
  18. 4 China, Macao SAR 0 1000 t
  19. 4 Guinea-Bissau 0 1000 t
  20. 4 Solomon Islands 0 1000 t
  21. 4 Liberia 0 1000 t
  22. 4 Lesotho 0 1000 t
  23. 4 Tajikistan 0 1000 t
  24. 4 Mongolia 0 1000 t
  25. 4 Saint Kitts and Nevis 0 1000 t
  26. 4 Mauritania 0 1000 t
  27. 4 Libya 0 1000 t
  28. 4 Armenia 0 1000 t
  29. 4 Saint Vincent and the Grenadines 0 1000 t compare
  30. 4 Albania 0 1000 t
  31. 4 Seychelles 0 1000 t
  32. 4 Montenegro 0 1000 t
  33. 4 Suriname 0 1000 t
  34. 4 Kuwait 0 1000 t compare
  35. 4 Bahamas 0 1000 t
  36. 4 Jordan 0 1000 t
  37. 4 Iceland 0 1000 t
  38. 4 Sierra Leone 0 1000 t
  39. 4 Uzbekistan 0 1000 t
  40. 4 Grenada 0 1000 t
  41. 4 Gambia 0 1000 t compare
  42. 4 Saint Lucia 0 1000 t
  43. 4 Georgia 0 1000 t
  44. 4 Congo 0 1000 t
  45. 4 Estonia 0 1000 t
  46. 4 North Macedonia 0 1000 t
  47. 4 Gabon 0 1000 t
  48. 4 Angola 0 1000 t
  49. 4 Iraq 0 1000 t
  50. 4 Barbados 0 1000 t
  51. 4 Finland 0 1000 t
  52. 4 Azerbaijan 0 1000 t
  53. 4 Maldives 0 1000 t
  54. 4 Kyrgyzstan 0 1000 t
  55. 4 Antigua and Barbuda 0 1000 t
  56. 4 Guyana 0 1000 t compare
  57. 4 Argentina 0 1000 t
  58. 4 Tunisia 0 1000 t
  59. 4 Luxembourg 0 1000 t
  60. 4 China, Hong Kong SAR 0 1000 t compare
  61. 4 Paraguay 0 1000 t
  62. 4 Guinea 0 1000 t
  63. 4 Oman 0 1000 t compare
  64. 4 Bosnia and Herzegovina 0 1000 t
  65. 4 Israel 0 1000 t
  66. 4 Croatia 0 1000 t
  67. 4 Latvia 0 1000 t
  68. 4 Chile 0 1000 t
  69. 4 New Caledonia 0 1000 t
  70. 4 Lithuania 0 1000 t
  71. 4 Eswatini 0 1000 t
  72. 4 Algeria 0 1000 t
  73. 4 Haiti 0 1000 t
  74. 4 Mauritius 0 1000 t compare
  75. 4 Ireland 0 1000 t
  76. 4 Papua New Guinea 0 1000 t compare
  77. 4 Belarus 0 1000 t
  78. 4 Belgium 0 1000 t compare
  79. 4 Saudi Arabia 0 1000 t
  80. 4 Niger 0 1000 t
  81. 4 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
  82. 4 Malta 0 1000 t
  83. 4 Uruguay 0 1000 t
  84. 4 Dominican Republic 0 1000 t compare
  85. 4 Trinidad and Tobago 0 1000 t compare
  86. 4 Slovak Republic 0 1000 t
  87. 4 El Salvador 0 1000 t
  88. 4 Malaysia 0 1000 t
  89. 4 Panama 0 1000 t compare
  90. 4 Czechia 0 1000 t
  91. 4 Yemen 0 1000 t
  92. 4 Norway 0 1000 t
  93. 4 Lebanon 0 1000 t
  94. 4 Slovenia 0 1000 t
  95. 4 Bulgaria 0 1000 t
  96. 4 Serbia 0 1000 t
  97. 4 Malawi 0 1000 t
  98. 4 Namibia 0 1000 t
  99. 4 Romania 0 1000 t
  100. 4 Denmark 0 1000 t compare
  101. 4 Burkina Faso 0 1000 t compare
  102. 4 Poland 0 1000 t
  103. 4 United Arab Emirates 0 1000 t
  104. 4 Nicaragua 0 1000 t compare
  105. 4 Greece 0 1000 t compare
  106. 4 Jamaica 0 1000 t compare
  107. 4 Canada 0 1000 t compare
  108. 4 Rwanda 0 1000 t
  109. 4 Netherlands (Kingdom of the) 0 1000 t compare
  110. 4 Switzerland 0 1000 t
  111. 4 Portugal 0 1000 t
  112. 4 Zambia 0 1000 t
  113. 4 Hungary 0 1000 t
  114. 4 Austria 0 1000 t
  115. 4 Sweden 0 1000 t
  116. 4 Madagascar 0 1000 t compare
  117. 4 Ghana 0 1000 t compare
  118. 4 Ukraine 0 1000 t
  119. 4 New Zealand 0 1000 t
  120. 4 Cyprus 0 1000 t
  121. 4 Morocco 0 1000 t
  122. 4 Italy 0 1000 t
  123. 4 Cambodia 0 1000 t
  124. 4 Botswana 0 1000 t
  125. 4 Australia 0 1000 t
  126. 4 Myanmar 0 1000 t compare
  127. 4 China, Taiwan Province of 0 1000 t compare
  128. 4 Cameroon 0 1000 t
  129. 4 Senegal 0 1000 t
  130. 4 Ecuador 0 1000 t
  131. 4 Zimbabwe 0 1000 t
  132. 4 Honduras 0 1000 t
  133. 4 Bangladesh 0 1000 t
  134. 4 Germany 0 1000 t
  135. 4 Republic of Korea 0 1000 t
  136. 4 Ethiopia 0 1000 t
  137. 4 Kazakhstan 0 1000 t compare
  138. 4 Thailand 0 1000 t compare
  139. 4 Philippines 0 1000 t compare
  140. 4 Peru 0 1000 t
  141. 4 South Africa 0 1000 t
  142. 4 Russian Federation 0 1000 t
  143. 4 Nigeria 0 1000 t
  144. 4 Spain 0 1000 t
  145. 4 India 0 1000 t compare
  146. 4 Uganda 0 1000 t compare
  147. 4 Sri Lanka 0 1000 t
  148. 4 Pakistan 0 1000 t
  149. 4 China, mainland 0 1000 t
  150. 4 Brazil 0 1000 t
  151. 4 Guatemala 0 1000 t
  152. 4 Mexico 0 1000 t compare
  153. 4 Indonesia 0 1000 t compare
  154. 4 Colombia 0 1000 t compare
  155. 4 Australia and New Zealand 0 1000 t
  156. 4 Nepal 0 1000 t
  157. 4 Kenya 0 1000 t compare
  158. 4 China (People’s Republic of) 0 1000 t compare

See the full ranking of 212 places →

More agriculture & rural data for South America

All data for South America →

Frequently asked questions

What is coconuts - incl copra — residuals in South America?
Coconuts - incl copra — residuals in South America was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest coconuts - incl copra — residuals recorded in South America?
The highest recorded value was 0 1000 t in 2019.
What is the lowest coconuts - incl copra — residuals recorded in South America?
The lowest recorded value was -16 1000 t in 2010.
How does South America rank for coconuts - incl copra — residuals?
South America ranks 2nd out of 29 groups with data for 2023.
Is coconuts - incl copra — residuals rising or falling in South America?
Over the last ten years it is up 100.0%. The long-run trend across the full record is volatile.
Where does this South America data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Coconuts - Incl Copra — Residuals. Statizoid updates them automatically from the source API.

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Coconuts - Incl Copra — Residuals in South America. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 21 August 2026, from https://agriculture.statizoid.com/stat/coconuts-incl-copra-residuals/south-america/

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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.