Alcohol, Non-Food — Stock Variation in Net Food Importing Developing Countries (NFIDCs)

Net Food Importing Developing Countries (NFIDCs): Alcohol, Non-Food — Stock Variation was 39 1000 t in 2023. ◆ Volatile

Latest (2023)
39 1000 t
Change on year
up 290.0%
Rank
8th
of 29 groups
All-time high
39 1000 t
in 2023
All-time low
-191 1000 t
in 2013
Years of data
14
2010–2023

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

-200-150-100-500502010201620232010: 3 1000 t2011: -92 1000 t2012: 36 1000 t2013: -191 1000 t2014: -35 1000 t2015: 5 1000 t2016: 15 1000 t2017: 3 1000 t2018: 4 1000 t2019: 8 1000 t2020: 2 1000 t2021: 0 1000 t2022: 10 1000 t2023: 39 1000 t

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

Analysis

In 2023, alcohol, non-food — stock variation in Net Food Importing Developing Countries (NFIDCs) stood at 39 1000 t. That is the highest value across all 14 years on record.

Compared with earlier readings it is up 290.0% on the previous year and up 120.4% over ten years.

Over the whole period, alcohol, non-food — stock variation in Net Food Importing Developing Countries (NFIDCs) peaked at 39 1000 t in 2023 and was at its lowest, -191 1000 t, in 2013.

Net Food Importing Developing Countries (NFIDCs) ranks 8th of 29 groups on this measure, in the top quarter.

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

Averages by decade

DecadeAverage LowestHighest Years
2010s -24.4 1000 t -191 1000 t 36 1000 t 10
2020s 12.75 1000 t 0 1000 t 39 1000 t 4

Countries ranked near Net Food Importing Developing Countries (NFIDCs)

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

See the full ranking of 195 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 alcohol, non-food — stock variation in Net Food Importing Developing Countries (NFIDCs)?
Alcohol, non-food — stock variation in Net Food Importing Developing Countries (NFIDCs) was 39 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest alcohol, non-food — stock variation recorded in Net Food Importing Developing Countries (NFIDCs)?
The highest recorded value was 39 1000 t in 2023.
What is the lowest alcohol, non-food — stock variation recorded in Net Food Importing Developing Countries (NFIDCs)?
The lowest recorded value was -191 1000 t in 2013.
How does Net Food Importing Developing Countries (NFIDCs) rank for alcohol, non-food — stock variation?
Net Food Importing Developing Countries (NFIDCs) ranks 8th out of 29 groups with data for 2023.
Is alcohol, non-food — stock variation rising or falling in Net Food Importing Developing Countries (NFIDCs)?
Over the last ten years it is up 120.4%. 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 Alcohol, Non-Food — Stock Variation. Statizoid updates them automatically from the source API.

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Alcohol, Non-Food — Stock Variation in Net Food Importing Developing Countries (NFIDCs). Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 22 August 2026, from https://agriculture.statizoid.com/stat/alcohol-non-food-stock-variation-2/net-food-importing-developing-countries-nfidcs/

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About this data

Indicator
Alcohol, Non-Food — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
195 places, 2,189 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.