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Sweet potatoes β€” Stock Variation in Net Food Importing Developing Countries (NFIDCs)

Net Food Importing Developing Countries (NFIDCs): Sweet potatoes β€” Stock Variation was -230 1000 t in 2023. β—† Volatile

Latest (2023)
-230 1000 t
Change on year
up 22.0%
Rank
29th
of 31 groups
All-time high
1,410 1000 t
in 2016
All-time low
-409 1000 t
in 2010
Years of data
14
2010–2023

Sweet potatoes β€” Stock Variation in Net Food Importing Developing Countries (NFIDCs), 2010–2023

-50005001.0k1.5k2010201620232010: -409 1000 t2011: 63 1000 t2012: 366 1000 t2013: 1.2k 1000 t2014: 313 1000 t2015: 927 1000 t2016: 1.4k 1000 t2017: 1.4k 1000 t2018: 12 1000 t2019: 730 1000 t2020: 480 1000 t2021: 719 1000 t2022: -295 1000 t2023: -230 1000 t

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

Analysis

Net Food Importing Developing Countries (NFIDCs) recorded -230 1000 t for sweet potatoes β€” stock variation in 2023.

That represents a change of up 22.0% on the previous year and down 119.0% over ten years.

Over the whole period, sweet potatoes β€” stock variation in Net Food Importing Developing Countries (NFIDCs) peaked at 1,410 1000 t in 2016 and was at its lowest, -409 1000 t, in 2010.

Net Food Importing Developing Countries (NFIDCs) ranks 29th 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 599 1000 t -409 1000 t 1,410 1000 t 10
2020s 168.5 1000 t -295 1000 t 719 1000 t 4

Countries ranked near Net Food Importing Developing Countries (NFIDCs)

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

See the full ranking of 200 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 sweet potatoes β€” stock variation in Net Food Importing Developing Countries (NFIDCs)?
Sweet potatoes β€” stock variation in Net Food Importing Developing Countries (NFIDCs) was -230 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest sweet potatoes β€” stock variation recorded in Net Food Importing Developing Countries (NFIDCs)?
The highest recorded value was 1,410 1000 t in 2016.
What is the lowest sweet potatoes β€” stock variation recorded in Net Food Importing Developing Countries (NFIDCs)?
The lowest recorded value was -409 1000 t in 2010.
How does Net Food Importing Developing Countries (NFIDCs) rank for sweet potatoes β€” stock variation?
Net Food Importing Developing Countries (NFIDCs) ranks 29th out of 31 groups with data for 2023.
Is sweet potatoes β€” stock variation rising or falling in Net Food Importing Developing Countries (NFIDCs)?
Over the last ten years it is down 119.0%. 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 Sweet potatoes β€” Stock Variation. Statizoid updates them automatically from the source API.

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Sweet potatoes 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/sweet-potatoes-stock-variation/net-food-importing-developing-countries-nfidcs/

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About this data

Indicator
Sweet potatoes 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
200 places, 2,639 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.