Statizoid

Honey — Stock Variation in Cuba

Cuba: Honey — Stock Variation was 0 1000 t in 2019. ◆ Volatile

Latest (2019)
0 1000 t
Change on year
down 100.0%
World rank
30th
of 193 countries
All-time high
1 1000 t
in 2014
All-time low
-2 1000 t
in 2017
Years of data
10
2010–2019

Honey — Stock Variation in Cuba, 2010–2019

-2-1012010201420192010: 0 1000 t2011: 0 1000 t2012: 0 1000 t2013: 0 1000 t2014: 1 1000 t2015: 0 1000 t2016: 1 1000 t2017: -2 1000 t2018: 1 1000 t2019: 0 1000 t

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

Analysis

Cuba recorded 0 1000 t for honey — stock variation in 2019.

That represents a change of down 100.0% on the previous year and down 100.0% over five years.

Over the whole period, honey — stock variation in Cuba peaked at 1 1000 t in 2014 and was at its lowest, -2 1000 t, in 2017.

That places Cuba 30th out of 193 countries with data for 2019, putting it in the top quarter.

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

Honey — Stock Variation in Cuba, year by year

Year 1000 t Change
2010 0 1000 t —
2011 0 1000 t —
2012 0 1000 t —
2013 0 1000 t —
2014 1 1000 t —
2015 0 1000 t -100.0%
2016 1 1000 t —
2017 -2 1000 t -300.0%
2018 1 1000 t -150.0%
2019 0 1000 t -100.0%

Countries ranked near Cuba

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

See the full ranking of 223 places →

More agriculture & rural data for Cuba

All data for Cuba →

Frequently asked questions

What is honey — stock variation in Cuba?
Honey — stock variation in Cuba was 0 1000 t in 2019, according to Food and Agriculture Organization of the United Nations.
What is the highest honey — stock variation recorded in Cuba?
The highest recorded value was 1 1000 t in 2014.
What is the lowest honey — stock variation recorded in Cuba?
The lowest recorded value was -2 1000 t in 2017.
How does Cuba rank for honey — stock variation?
Cuba ranks 30th out of 193 countries with data for 2019.
Where does this Cuba data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Honey — Stock Variation. Statizoid updates them automatically from the source API.

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Honey — Stock Variation in Cuba. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 01 October 2026, from https://agriculture.statizoid.com/stat/honey-stock-variation/cuba/

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About this data

Indicator
Honey — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
223 places, 2,927 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.