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Crustaceans — Stock Variation in Net Food Importing Developing Countries (NFIDCs)

Net Food Importing Developing Countries (NFIDCs): Crustaceans — Stock Variation was 0 1000 t in 2023. ◆ Volatile

Latest (2023)
0 1000 t
Rank
2nd
of 30 groups
All-time high
6 1000 t
in 2016
All-time low
-7 1000 t
in 2010
Years of data
14
2010–2023

Crustaceans — Stock Variation in Net Food Importing Developing Countries (NFIDCs), 2010–2023

-5052010201620232010: -7 1000 t2011: -1 1000 t2012: -1 1000 t2013: -5 1000 t2014: 1 1000 t2015: -2 1000 t2016: 6 1000 t2017: -6 1000 t2018: 5 1000 t2019: -5 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

The most recent figure for crustaceans — stock variation in Net Food Importing Developing Countries (NFIDCs) is 0 1000 t, measured in 2023.

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

Over the whole period, crustaceans — stock variation in Net Food Importing Developing Countries (NFIDCs) peaked at 6 1000 t in 2016 and was at its lowest, -7 1000 t, in 2010.

Net Food Importing Developing Countries (NFIDCs) ranks 2nd of 30 groups on this measure, in the top 10%.

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

Crustaceans — Stock Variation in Net Food Importing Developing Countries (NFIDCs), year by year

Year 1000 t Change
2010 -7 1000 t —
2011 -1 1000 t -85.7%
2012 -1 1000 t -0.0%
2013 -5 1000 t +400.0%
2014 1 1000 t -120.0%
2015 -2 1000 t -300.0%
2016 6 1000 t -400.0%
2017 -6 1000 t -200.0%
2018 5 1000 t -183.3%
2019 -5 1000 t -200.0%
2020 0 1000 t -100.0%
2021 0 1000 t —
2022 0 1000 t —
2023 0 1000 t —

Averages by decade

DecadeAverage LowestHighest Years
2010s -1.5 1000 t -7 1000 t 6 1000 t 10
2020s 0 1000 t 0 1000 t 0 1000 t 4

Countries ranked near Net Food Importing Developing Countries (NFIDCs)

  1. 1 Ireland 6 1000 t compare
  2. 2 Tonga 0 1000 t
  3. 2 Qatar 0 1000 t
  4. 2 Bahrain 0 1000 t
  5. 2 Cuba 0 1000 t
  6. 2 Lesotho 0 1000 t
  7. 2 Kiribati 0 1000 t
  8. 2 China, Macao SAR 0 1000 t compare
  9. 2 Micronesia 0 1000 t
  10. 2 Mauritania 0 1000 t
  11. 2 Mongolia 0 1000 t
  12. 2 Sierra Leone 0 1000 t
  13. 2 Saint Kitts and Nevis 0 1000 t
  14. 2 Solomon Islands 0 1000 t
  15. 2 Albania 0 1000 t
  16. 2 Suriname 0 1000 t
  17. 2 Kuwait 0 1000 t
  18. 2 Maldives 0 1000 t
  19. 2 Vanuatu 0 1000 t
  20. 2 Gabon 0 1000 t
  21. 2 Saint Vincent and the Grenadines 0 1000 t
  22. 2 Eswatini 0 1000 t
  23. 2 Kyrgyzstan 0 1000 t
  24. 2 Cabo Verde 0 1000 t
  25. 2 Papua New Guinea 0 1000 t
  26. 2 Guyana 0 1000 t
  27. 2 Jordan 0 1000 t
  28. 2 Bosnia and Herzegovina 0 1000 t
  29. 2 Oman 0 1000 t
  30. 2 New Caledonia 0 1000 t
  31. 2 Seychelles 0 1000 t
  32. 2 Luxembourg 0 1000 t
  33. 2 Iceland 0 1000 t compare
  34. 2 Uruguay 0 1000 t
  35. 2 Slovakia 0 1000 t
  36. 2 Namibia 0 1000 t compare
  37. 2 Yemen 0 1000 t
  38. 2 Bahamas 0 1000 t compare
  39. 2 Israel 0 1000 t compare
  40. 2 Lithuania 0 1000 t
  41. 2 Finland 0 1000 t
  42. 2 Tunisia 0 1000 t
  43. 2 Belarus 0 1000 t compare
  44. 2 Nicaragua 0 1000 t compare
  45. 2 Democratic Republic of the Congo 0 1000 t
  46. 2 Myanmar 0 1000 t compare
  47. 2 Argentina 0 1000 t
  48. 2 Chile 0 1000 t
  49. 2 Mozambique 0 1000 t
  50. 2 Bulgaria 0 1000 t
  51. 2 Latvia 0 1000 t
  52. 2 Antigua and Barbuda 0 1000 t
  53. 2 Norway 0 1000 t compare
  54. 2 Madagascar 0 1000 t
  55. 2 Panama 0 1000 t compare
  56. 2 Romania 0 1000 t
  57. 2 El Salvador 0 1000 t compare
  58. 2 Ghana 0 1000 t
  59. 2 Jamaica 0 1000 t
  60. 2 Belize 0 1000 t
  61. 2 Russian Federation 0 1000 t compare
  62. 2 Venezuela (Bolivarian Republic of) 0 1000 t compare
  63. 2 Mauritius 0 1000 t
  64. 2 Canada 0 1000 t compare
  65. 2 Senegal 0 1000 t compare
  66. 2 Belgium 0 1000 t compare
  67. 2 Türkiye 0 1000 t
  68. 2 Trinidad and Tobago 0 1000 t
  69. 2 Denmark 0 1000 t compare
  70. 2 China, Hong Kong SAR 0 1000 t
  71. 2 Cameroon 0 1000 t
  72. 2 Poland 0 1000 t compare
  73. 2 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
  74. 2 Kazakhstan 0 1000 t compare
  75. 2 Malaysia 0 1000 t compare
  76. 2 Botswana 0 1000 t
  77. 2 New Zealand 0 1000 t
  78. 2 Morocco 0 1000 t
  79. 2 Sweden 0 1000 t
  80. 2 Ecuador 0 1000 t compare
  81. 2 Australia 0 1000 t
  82. 2 Hungary 0 1000 t
  83. 2 Uganda 0 1000 t
  84. 2 China, Taiwan Province of 0 1000 t
  85. 2 Polynesia 0 1000 t
  86. 2 France 0 1000 t
  87. 2 Republic of Korea 0 1000 t
  88. 2 South Africa 0 1000 t
  89. 2 Sri Lanka 0 1000 t
  90. 2 Pakistan 0 1000 t compare
  91. 2 India 0 1000 t compare
  92. 2 Germany 0 1000 t
  93. 2 Italy 0 1000 t
  94. 2 Spain 0 1000 t compare
  95. 2 Costa Rica 0 1000 t
  96. 2 Peru 0 1000 t
  97. 2 Honduras 0 1000 t compare
  98. 2 United Republic of Tanzania 0 1000 t
  99. 2 Colombia 0 1000 t
  100. 2 Thailand 0 1000 t compare
  101. 2 China, mainland 0 1000 t compare
  102. 2 Mexico 0 1000 t
  103. 2 Guatemala 0 1000 t compare
  104. 2 Australia and New Zealand 0 1000 t
  105. 2 Indonesia 0 1000 t compare
  106. 2 Kenya 0 1000 t
  107. 2 Melanesia 0 1000 t
  108. 2 China 0 1000 t compare
  109. 2 Caribbean 0 1000 t compare
  110. 2 Russia 0 1000 t compare
  111. 2 Turkey 0 1000 t
  112. 2 United Kingdom 0 1000 t compare
  113. 2 United States 0 1000 t

See the full ranking of 146 places →

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

All data for Net Food Importing Developing Countries (NFIDCs) →

Frequently asked questions

What is crustaceans — stock variation in Net Food Importing Developing Countries (NFIDCs)?
Crustaceans — stock variation in Net Food Importing Developing Countries (NFIDCs) was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest crustaceans — stock variation recorded in Net Food Importing Developing Countries (NFIDCs)?
The highest recorded value was 6 1000 t in 2016.
What is the lowest crustaceans — stock variation recorded in Net Food Importing Developing Countries (NFIDCs)?
The lowest recorded value was -7 1000 t in 2010.
How does Net Food Importing Developing Countries (NFIDCs) rank for crustaceans — stock variation?
Net Food Importing Developing Countries (NFIDCs) ranks 2nd out of 30 groups with data for 2023.
Is crustaceans — stock variation rising or falling in Net Food Importing Developing Countries (NFIDCs)?
Over the last ten years it is up 100.0%. 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 Crustaceans — Stock Variation. Statizoid updates them automatically from the source API.

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Crustaceans — Stock Variation in Net Food Importing Developing Countries (NFIDCs). Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 02 October 2026, from https://agriculture.statizoid.com/stat/crustaceans-stock-variation/net-food-importing-developing-countries-nfidcs/

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About this data

Indicator
Crustaceans — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
146 places, 1,953 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.