Statizoid

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

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

Latest (2023)
0 1000 t
Change on year
up 100.0%
Rank
15th
of 31 groups
All-time high
5 1000 t
in 2016
All-time low
-4 1000 t
in 2010
Years of data
14
2010–2023

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

-4-202462010201620232010: -4 1000 t2011: -4 1000 t2012: 1 1000 t2013: 4 1000 t2014: 3 1000 t2015: 3 1000 t2016: 5 1000 t2017: -2 1000 t2018: 5 1000 t2019: -1 1000 t2020: 3 1000 t2021: 4 1000 t2022: -2 1000 t2023: 0 1000 t

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

Analysis

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

The figure is up 100.0% on the previous year and down 100.0% over ten years.

Over the whole period, eggs — stock variation in Net Food Importing Developing Countries (NFIDCs) peaked at 5 1000 t in 2016 and was at its lowest, -4 1000 t, in 2010.

Net Food Importing Developing Countries (NFIDCs) ranks 15th of 31 groups on this measure, in the middle of the range.

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

Averages by decade

DecadeAverage LowestHighest Years
2010s 1 1000 t -4 1000 t 5 1000 t 10
2020s 1.25 1000 t -2 1000 t 4 1000 t 4

Countries ranked near Net Food Importing Developing Countries (NFIDCs)

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

See the full ranking of 188 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 eggs — stock variation in Net Food Importing Developing Countries (NFIDCs)?
Eggs — 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 eggs — stock variation recorded in Net Food Importing Developing Countries (NFIDCs)?
The highest recorded value was 5 1000 t in 2016.
What is the lowest eggs — stock variation recorded in Net Food Importing Developing Countries (NFIDCs)?
The lowest recorded value was -4 1000 t in 2010.
How does Net Food Importing Developing Countries (NFIDCs) rank for eggs — stock variation?
Net Food Importing Developing Countries (NFIDCs) ranks 15th out of 31 groups with data for 2023.
Is eggs — stock variation rising or falling in Net Food Importing Developing Countries (NFIDCs)?
Over the last ten years it is down 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 Eggs — Stock Variation. Statizoid updates them automatically from the source API.

Download this data

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About this data

Indicator
Eggs — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
188 places, 2,432 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.