Statizoid

Coconuts - Incl Copra — Residuals in Marshall Islands

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

Latest (2023)
0 1000 t
World rank
6th
of 181 countries
All-time high
15 1000 t
in 2020
All-time low
0 1000 t
in 2022
Years of data
5
2019–2023

Coconuts - Incl Copra — Residuals in Marshall Islands, 2019–2023

0510152019202120232019: 14 1000 t2020: 15 1000 t2021: 10 1000 t2022: 0 1000 t2023: 0 1000 t

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

Analysis

The most recent figure for coconuts - incl copra — residuals in Marshall Islands is 0 1000 t, measured in 2023. That is the lowest value across all 5 years on record.

That represents a change of down 100.0% over five years.

That places Marshall Islands 6th out of 181 countries with data for 2023, putting it in the top 10%.

Averages by decade

DecadeAverage LowestHighest Years
2010s 14 1000 t 14 1000 t 14 1000 t 1
2020s 6.25 1000 t 0 1000 t 15 1000 t 4

Countries ranked near Marshall Islands

  1. 3 Polynesia 14 1000 t compare
  2. 4 French Polynesia 13 1000 t compare
  3. 5 Samoa 1 1000 t compare
  4. 6 Micronesia (Federated States of) 0 1000 t compare
  5. 6 Tuvalu 0 1000 t compare
  6. 6 Nauru 0 1000 t compare
  7. 6 Tonga 0 1000 t compare
  8. 6 Qatar 0 1000 t compare
  9. 6 Bhutan 0 1000 t compare
  10. 6 Bahrain 0 1000 t compare
  11. 6 Cuba 0 1000 t
  12. 6 Turkmenistan 0 1000 t compare
  13. 6 Kiribati 0 1000 t compare
  14. 6 Djibouti 0 1000 t compare
  15. 6 Comoros 0 1000 t compare
  16. 6 Sao Tome and Principe 0 1000 t compare
  17. 6 Timor-Leste 0 1000 t compare
  18. 6 Afghanistan 0 1000 t compare
  19. 6 China, Macao SAR 0 1000 t compare
  20. 6 Guinea-Bissau 0 1000 t compare
  21. 6 Solomon Islands 0 1000 t compare
  22. 6 Liberia 0 1000 t compare
  23. 6 Lesotho 0 1000 t compare
  24. 6 Tajikistan 0 1000 t compare
  25. 6 Mongolia 0 1000 t compare
  26. 6 Micronesia 0 1000 t compare
  27. 6 Saint Kitts and Nevis 0 1000 t compare
  28. 6 Mauritania 0 1000 t compare
  29. 6 Libya 0 1000 t compare
  30. 6 Cabo Verde 0 1000 t compare
  31. 6 Armenia 0 1000 t compare
  32. 6 Saint Vincent and the Grenadines 0 1000 t compare
  33. 6 Albania 0 1000 t compare
  34. 6 Seychelles 0 1000 t compare
  35. 6 Montenegro 0 1000 t compare
  36. 6 Suriname 0 1000 t compare
  37. 6 Kuwait 0 1000 t compare
  38. 6 Bahamas 0 1000 t compare
  39. 6 Jordan 0 1000 t compare
  40. 6 Iceland 0 1000 t compare
  41. 6 Sierra Leone 0 1000 t compare
  42. 6 Uzbekistan 0 1000 t compare
  43. 6 Grenada 0 1000 t compare
  44. 6 Gambia 0 1000 t compare
  45. 6 Saint Lucia 0 1000 t compare
  46. 6 Georgia 0 1000 t compare
  47. 6 Congo 0 1000 t compare
  48. 6 Estonia 0 1000 t compare
  49. 6 North Macedonia 0 1000 t compare
  50. 6 Gabon 0 1000 t compare
  51. 6 Angola 0 1000 t compare
  52. 6 Iraq 0 1000 t compare
  53. 6 Barbados 0 1000 t compare
  54. 6 Finland 0 1000 t compare
  55. 6 Azerbaijan 0 1000 t compare
  56. 6 Maldives 0 1000 t compare
  57. 6 Kyrgyzstan 0 1000 t compare
  58. 6 Antigua and Barbuda 0 1000 t compare
  59. 6 Guyana 0 1000 t compare
  60. 6 Argentina 0 1000 t compare
  61. 6 Tunisia 0 1000 t compare
  62. 6 Luxembourg 0 1000 t compare
  63. 6 China, Hong Kong SAR 0 1000 t compare
  64. 6 Paraguay 0 1000 t compare
  65. 6 Guinea 0 1000 t compare
  66. 6 Oman 0 1000 t compare
  67. 6 Bosnia and Herzegovina 0 1000 t compare
  68. 6 Israel 0 1000 t compare
  69. 6 Croatia 0 1000 t compare
  70. 6 Latvia 0 1000 t compare
  71. 6 Chile 0 1000 t compare
  72. 6 New Caledonia 0 1000 t compare
  73. 6 Lithuania 0 1000 t compare
  74. 6 Eswatini 0 1000 t compare
  75. 6 Algeria 0 1000 t compare
  76. 6 Haiti 0 1000 t compare
  77. 6 Mauritius 0 1000 t compare
  78. 6 Lao People's Democratic Republic 0 1000 t compare
  79. 6 Ireland 0 1000 t compare
  80. 6 Papua New Guinea 0 1000 t compare
  81. 6 Belarus 0 1000 t compare
  82. 6 Belgium 0 1000 t compare
  83. 6 Saudi Arabia 0 1000 t compare
  84. 6 Niger 0 1000 t compare
  85. 6 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
  86. 6 Republic of Moldova 0 1000 t compare
  87. 6 Malta 0 1000 t compare
  88. 6 Viet Nam 0 1000 t compare
  89. 6 Uruguay 0 1000 t compare
  90. 6 Dominican Republic 0 1000 t compare
  91. 6 Trinidad and Tobago 0 1000 t compare
  92. 6 Slovakia 0 1000 t compare
  93. 6 El Salvador 0 1000 t compare
  94. 6 Malaysia 0 1000 t compare
  95. 6 Iran (Islamic Republic of) 0 1000 t compare
  96. 6 Panama 0 1000 t compare
  97. 6 Czechia 0 1000 t compare
  98. 6 Yemen 0 1000 t compare
  99. 6 Norway 0 1000 t compare
  100. 6 Lebanon 0 1000 t compare
  101. 6 Slovenia 0 1000 t compare
  102. 6 Bulgaria 0 1000 t compare
  103. 6 Serbia 0 1000 t compare
  104. 6 Türkiye 0 1000 t compare
  105. 6 Syrian Arab Republic 0 1000 t compare
  106. 6 Malawi 0 1000 t compare
  107. 6 Namibia 0 1000 t compare
  108. 6 Romania 0 1000 t compare
  109. 6 Denmark 0 1000 t compare
  110. 6 Burkina Faso 0 1000 t compare
  111. 6 Poland 0 1000 t compare
  112. 6 United Arab Emirates 0 1000 t compare
  113. 6 Nicaragua 0 1000 t compare
  114. 6 Greece 0 1000 t compare
  115. 6 Jamaica 0 1000 t compare
  116. 6 Canada 0 1000 t compare
  117. 6 Rwanda 0 1000 t compare
  118. 6 Netherlands (Kingdom of the) 0 1000 t compare
  119. 6 Switzerland 0 1000 t compare
  120. 6 Portugal 0 1000 t compare
  121. 6 Bolivia (Plurinational State of) 0 1000 t compare
  122. 6 Zambia 0 1000 t compare
  123. 6 Hungary 0 1000 t compare
  124. 6 Austria 0 1000 t compare
  125. 6 Sweden 0 1000 t compare
  126. 6 Madagascar 0 1000 t compare
  127. 6 Democratic Republic of the Congo 0 1000 t compare
  128. 6 Ghana 0 1000 t compare
  129. 6 Ukraine 0 1000 t compare
  130. 6 New Zealand 0 1000 t compare
  131. 6 Cyprus 0 1000 t compare
  132. 6 Morocco 0 1000 t compare
  133. 6 Italy 0 1000 t compare
  134. 6 Cambodia 0 1000 t compare
  135. 6 Botswana 0 1000 t compare
  136. 6 Australia 0 1000 t compare
  137. 6 Myanmar 0 1000 t compare
  138. 6 China, Taiwan Province of 0 1000 t compare
  139. 6 Cameroon 0 1000 t compare
  140. 6 Senegal 0 1000 t compare
  141. 6 Ecuador 0 1000 t compare
  142. 6 Zimbabwe 0 1000 t compare
  143. 6 Venezuela (Bolivarian Republic of) 0 1000 t compare
  144. 6 Honduras 0 1000 t compare
  145. 6 Bangladesh 0 1000 t compare
  146. 6 Germany 0 1000 t compare
  147. 6 Republic of Korea 0 1000 t compare
  148. 6 Ethiopia 0 1000 t compare
  149. 6 Kazakhstan 0 1000 t compare
  150. 6 Thailand 0 1000 t compare
  151. 6 Philippines 0 1000 t compare
  152. 6 Peru 0 1000 t compare
  153. 6 Russian Federation 0 1000 t compare
  154. 6 Nigeria 0 1000 t compare
  155. 6 Spain 0 1000 t compare
  156. 6 India 0 1000 t compare
  157. 6 Uganda 0 1000 t compare
  158. 6 Sri Lanka 0 1000 t compare
  159. 6 Pakistan 0 1000 t compare
  160. 6 China, mainland 0 1000 t compare
  161. 6 Brazil 0 1000 t compare
  162. 6 Guatemala 0 1000 t compare
  163. 6 Mexico 0 1000 t compare
  164. 6 Indonesia 0 1000 t compare
  165. 6 Colombia 0 1000 t compare
  166. 6 United Republic of Tanzania 0 1000 t compare
  167. 6 Australia and New Zealand 0 1000 t compare
  168. 6 Nepal 0 1000 t compare
  169. 6 Kenya 0 1000 t compare
  170. 6 China 0 1000 t compare

See the full ranking of 212 places →

More agriculture & rural data for Marshall Islands

All data for Marshall Islands →

Frequently asked questions

What is coconuts - incl copra — residuals in Marshall Islands?
Coconuts - incl copra — residuals in Marshall Islands 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 Marshall Islands?
The highest recorded value was 15 1000 t in 2020.
What is the lowest coconuts - incl copra — residuals recorded in Marshall Islands?
The lowest recorded value was 0 1000 t in 2022.
How does Marshall Islands rank for coconuts - incl copra — residuals?
Marshall Islands ranks 6th out of 181 countries with data for 2023.
Where does this Marshall Islands 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.

Download this data

CSV · JSON — 5 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).

Share, cite or embed this page

Cite this page

Coconuts - Incl Copra — Residuals in Marshall Islands. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 15 August 2026, from https://agriculture.statizoid.com/stat/coconuts-incl-copra-residuals/marshall-islands/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY-NC-SA 3.0 IGO (FAO); please keep the attribution.

<a href="https://agriculture.statizoid.com/stat/coconuts-incl-copra-residuals/marshall-islands/">Coconuts - Incl Copra — Residuals in Marshall Islands</a> — Statizoid

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.