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Pineapples and products β€” Stock Variation in Net Food Importing Developing Countries (NFIDCs)

Net Food Importing Developing Countries (NFIDCs): Pineapples and products β€” Stock Variation was -61 1000 t in 2023. β—† Volatile

Latest (2023)
-61 1000 t
Change on year
down 777.8%
Rank
28th
of 31 groups
All-time high
236 1000 t
in 2017
All-time low
-90 1000 t
in 2013
Years of data
14
2010–2023

Pineapples and products β€” Stock Variation in Net Food Importing Developing Countries (NFIDCs), 2010–2023

-10001002002010201620232010: 41 1000 t2011: -71 1000 t2012: 11 1000 t2013: -90 1000 t2014: 46 1000 t2015: 56 1000 t2016: 77 1000 t2017: 236 1000 t2018: 118 1000 t2019: -53 1000 t2020: 17 1000 t2021: 28 1000 t2022: 9 1000 t2023: -61 1000 t

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

Analysis

Net Food Importing Developing Countries (NFIDCs) recorded -61 1000 t for pineapples and products β€” stock variation in 2023.

That represents a change of down 777.8% on the previous year and up 32.2% over ten years.

Over the whole period, pineapples and products β€” stock variation in Net Food Importing Developing Countries (NFIDCs) peaked at 236 1000 t in 2017 and was at its lowest, -90 1000 t, in 2013.

Net Food Importing Developing Countries (NFIDCs) ranks 28th of 31 groups on this measure, in the bottom quarter.

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

Averages by decade

DecadeAverage LowestHighest Years
2010s 37.1 1000 t -90 1000 t 236 1000 t 10
2020s -1.75 1000 t -61 1000 t 28 1000 t 4

Countries ranked near Net Food Importing Developing Countries (NFIDCs)

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

See the full ranking of 205 places β†’

More agriculture & rural data for Net Food Importing Developing Countries (NFIDCs)

All data for Net Food Importing Developing Countries (NFIDCs) β†’

Frequently asked questions

What is pineapples and products β€” stock variation in Net Food Importing Developing Countries (NFIDCs)?
Pineapples and products β€” stock variation in Net Food Importing Developing Countries (NFIDCs) was -61 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest pineapples and products β€” stock variation recorded in Net Food Importing Developing Countries (NFIDCs)?
The highest recorded value was 236 1000 t in 2017.
What is the lowest pineapples and products β€” stock variation recorded in Net Food Importing Developing Countries (NFIDCs)?
The lowest recorded value was -90 1000 t in 2013.
How does Net Food Importing Developing Countries (NFIDCs) rank for pineapples and products β€” stock variation?
Net Food Importing Developing Countries (NFIDCs) ranks 28th out of 31 groups with data for 2023.
Is pineapples and products β€” stock variation rising or falling in Net Food Importing Developing Countries (NFIDCs)?
Over the last ten years it is up 32.2%. The long-run trend across the full record is volatile.
Where does this Net Food Importing Developing Countries (NFIDCs) data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Pineapples and products β€” Stock Variation. Statizoid updates them automatically from the source API.

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Pineapples and products β€” Stock Variation in Net Food Importing Developing Countries (NFIDCs). Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 16 August 2026, from https://agriculture.statizoid.com/stat/pineapples-and-products-stock-variation/net-food-importing-developing-countries-nfidcs/

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About this data

Indicator
Pineapples and products β€” Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
205 places, 2,750 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.