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

Net Food Importing Developing Countries (NFIDCs): Alcohol, Non-Food — Residuals was 1 1000 t in 2023. ◆ Volatile

Latest (2023)
1 1000 t
Change on year
unchanged
Rank
1st
of 29 groups
All-time high
1 1000 t
in 2022
All-time low
-31 1000 t
in 2017
Years of data
14
2010–2023

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

-30-20-1002010201620232010: -15 1000 t2011: -2 1000 t2012: -12 1000 t2013: -10 1000 t2014: -5 1000 t2015: -1 1000 t2016: -10 1000 t2017: -31 1000 t2018: -18 1000 t2019: -2 1000 t2020: -5 1000 t2021: -1 1000 t2022: 1 1000 t2023: 1 1000 t

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

Analysis

In 2023, alcohol, non-food — residuals in Net Food Importing Developing Countries (NFIDCs) stood at 1 1000 t. That is the highest value across all 14 years on record.

That represents a change of up 110.0% over ten years.

Over the whole period, alcohol, non-food — residuals in Net Food Importing Developing Countries (NFIDCs) peaked at 1 1000 t in 2022 and was at its lowest, -31 1000 t, in 2017.

Net Food Importing Developing Countries (NFIDCs) ranks 1st of 29 groups on this measure, in the top 10%.

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

Alcohol, Non-Food — Residuals in Net Food Importing Developing Countries (NFIDCs), year by year

Year 1000 t Change
2010 -15 1000 t —
2011 -2 1000 t -86.7%
2012 -12 1000 t +500.0%
2013 -10 1000 t -16.7%
2014 -5 1000 t -50.0%
2015 -1 1000 t -80.0%
2016 -10 1000 t +900.0%
2017 -31 1000 t +210.0%
2018 -18 1000 t -41.9%
2019 -2 1000 t -88.9%
2020 -5 1000 t +150.0%
2021 -1 1000 t -80.0%
2022 1 1000 t -200.0%
2023 1 1000 t +0.0%

Averages by decade

DecadeAverage LowestHighest Years
2010s -10.6 1000 t -31 1000 t -1 1000 t 10
2020s -1 1000 t -5 1000 t 1 1000 t 4

Countries ranked near Net Food Importing Developing Countries (NFIDCs)

  1. 1 Senegal 1 1000 t compare
  2. 2 Marshall Islands 0 1000 t
  3. 2 Bhutan 0 1000 t
  4. 2 Qatar 0 1000 t
  5. 2 Bahrain 0 1000 t
  6. 2 Cuba 0 1000 t
  7. 2 Turkmenistan 0 1000 t
  8. 2 Kiribati 0 1000 t
  9. 2 Lesotho 0 1000 t
  10. 2 Guinea-Bissau 0 1000 t
  11. 2 Comoros 0 1000 t
  12. 2 Djibouti 0 1000 t
  13. 2 Sao Tome and Principe 0 1000 t
  14. 2 Liberia 0 1000 t
  15. 2 Mauritania 0 1000 t
  16. 2 Tajikistan 0 1000 t
  17. 2 Afghanistan 0 1000 t compare
  18. 2 China, Macao SAR 0 1000 t compare
  19. 2 Mongolia 0 1000 t
  20. 2 Saint Kitts and Nevis 0 1000 t
  21. 2 Gambia 0 1000 t
  22. 2 Solomon Islands 0 1000 t
  23. 2 Albania 0 1000 t
  24. 2 Libya 0 1000 t
  25. 2 Sierra Leone 0 1000 t
  26. 2 Suriname 0 1000 t
  27. 2 Vanuatu 0 1000 t
  28. 2 Kuwait 0 1000 t
  29. 2 Montenegro 0 1000 t
  30. 2 Armenia 0 1000 t
  31. 2 Maldives 0 1000 t
  32. 2 Saint Vincent and the Grenadines 0 1000 t
  33. 2 Uzbekistan 0 1000 t compare
  34. 2 Kyrgyzstan 0 1000 t
  35. 2 Gabon 0 1000 t
  36. 2 Iceland 0 1000 t
  37. 2 Haiti 0 1000 t
  38. 2 Samoa 0 1000 t
  39. 2 Oman 0 1000 t
  40. 2 Estonia 0 1000 t
  41. 2 Saudi Arabia 0 1000 t
  42. 2 Eswatini 0 1000 t
  43. 2 Seychelles 0 1000 t
  44. 2 Guinea 0 1000 t
  45. 2 French Polynesia 0 1000 t
  46. 2 Guyana 0 1000 t
  47. 2 Iraq 0 1000 t
  48. 2 Lithuania 0 1000 t
  49. 2 Papua New Guinea 0 1000 t
  50. 2 Angola 0 1000 t
  51. 2 Georgia 0 1000 t
  52. 2 Bosnia and Herzegovina 0 1000 t
  53. 2 Jordan 0 1000 t
  54. 2 Grenada 0 1000 t
  55. 2 Azerbaijan 0 1000 t
  56. 2 Congo 0 1000 t
  57. 2 North Macedonia 0 1000 t
  58. 2 Niger 0 1000 t
  59. 2 Finland 0 1000 t
  60. 2 Paraguay 0 1000 t
  61. 2 Belarus 0 1000 t
  62. 2 Uruguay 0 1000 t
  63. 2 Bahamas 0 1000 t
  64. 2 Saint Lucia 0 1000 t
  65. 2 New Caledonia 0 1000 t
  66. 2 Namibia 0 1000 t
  67. 2 Algeria 0 1000 t
  68. 2 Luxembourg 0 1000 t
  69. 2 Latvia 0 1000 t
  70. 2 Burkina Faso 0 1000 t
  71. 2 Slovakia 0 1000 t
  72. 2 Ukraine 0 1000 t
  73. 2 Chile 0 1000 t
  74. 2 Ireland 0 1000 t
  75. 2 Norway 0 1000 t
  76. 2 Antigua and Barbuda 0 1000 t
  77. 2 Barbados 0 1000 t compare
  78. 2 Croatia 0 1000 t
  79. 2 Serbia 0 1000 t
  80. 2 Argentina 0 1000 t
  81. 2 Tunisia 0 1000 t
  82. 2 Czechia 0 1000 t
  83. 2 Panama 0 1000 t
  84. 2 Myanmar 0 1000 t
  85. 2 Israel 0 1000 t
  86. 2 Nicaragua 0 1000 t
  87. 2 Yemen 0 1000 t
  88. 2 Slovenia 0 1000 t
  89. 2 Bulgaria 0 1000 t compare
  90. 2 Belgium 0 1000 t compare
  91. 2 Rwanda 0 1000 t
  92. 2 Switzerland 0 1000 t
  93. 2 Poland 0 1000 t
  94. 2 Denmark 0 1000 t
  95. 2 Dominican Republic 0 1000 t
  96. 2 Romania 0 1000 t
  97. 2 Mauritius 0 1000 t
  98. 2 Belize 0 1000 t
  99. 2 El Salvador 0 1000 t
  100. 2 United Arab Emirates 0 1000 t
  101. 2 Russian Federation 0 1000 t
  102. 2 United Kingdom of Great Britain and Northern Ireland 0 1000 t
  103. 2 Portugal 0 1000 t
  104. 2 Jamaica 0 1000 t
  105. 2 Zambia 0 1000 t
  106. 2 Mozambique 0 1000 t
  107. 2 Malawi 0 1000 t compare
  108. 2 New Zealand 0 1000 t
  109. 2 China, Hong Kong SAR 0 1000 t
  110. 2 Lebanon 0 1000 t
  111. 2 Canada 0 1000 t
  112. 2 Madagascar 0 1000 t
  113. 2 Austria 0 1000 t
  114. 2 Sweden 0 1000 t
  115. 2 Malta 0 1000 t
  116. 2 France 0 1000 t compare
  117. 2 Trinidad and Tobago 0 1000 t compare
  118. 2 Kazakhstan 0 1000 t compare
  119. 2 Malaysia 0 1000 t
  120. 2 Ghana 0 1000 t
  121. 2 Ecuador 0 1000 t
  122. 2 China, Taiwan Province of 0 1000 t
  123. 2 Fiji 0 1000 t
  124. 2 Botswana 0 1000 t
  125. 2 Hungary 0 1000 t compare
  126. 2 Australia 0 1000 t
  127. 2 Morocco 0 1000 t
  128. 2 Greece 0 1000 t
  129. 2 Zimbabwe 0 1000 t
  130. 2 Ethiopia 0 1000 t
  131. 2 Germany 0 1000 t
  132. 2 Bangladesh 0 1000 t
  133. 2 Cameroon 0 1000 t
  134. 2 Cyprus 0 1000 t
  135. 2 Cambodia 0 1000 t compare
  136. 2 Italy 0 1000 t
  137. 2 South Africa 0 1000 t
  138. 2 Pakistan 0 1000 t
  139. 2 Nigeria 0 1000 t
  140. 2 Republic of Korea 0 1000 t
  141. 2 Philippines 0 1000 t
  142. 2 Uganda 0 1000 t
  143. 2 Sri Lanka 0 1000 t
  144. 2 Costa Rica 0 1000 t
  145. 2 Honduras 0 1000 t
  146. 2 Peru 0 1000 t
  147. 2 Spain 0 1000 t
  148. 2 India 0 1000 t
  149. 2 Brazil 0 1000 t
  150. 2 Thailand 0 1000 t
  151. 2 Mexico 0 1000 t
  152. 2 Colombia 0 1000 t
  153. 2 Egypt 0 1000 t
  154. 2 China, mainland 0 1000 t compare
  155. 2 Australia and New Zealand 0 1000 t
  156. 2 Guatemala 0 1000 t
  157. 2 Indonesia 0 1000 t
  158. 2 Nepal 0 1000 t
  159. 2 Kenya 0 1000 t
  160. 2 China (People’s Republic of) 0 1000 t compare

See the full ranking of 209 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 — residuals in Net Food Importing Developing Countries (NFIDCs)?
Alcohol, non-food — residuals in Net Food Importing Developing Countries (NFIDCs) was 1 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest alcohol, non-food — residuals recorded in Net Food Importing Developing Countries (NFIDCs)?
The highest recorded value was 1 1000 t in 2022.
What is the lowest alcohol, non-food — residuals recorded in Net Food Importing Developing Countries (NFIDCs)?
The lowest recorded value was -31 1000 t in 2017.
How does Net Food Importing Developing Countries (NFIDCs) rank for alcohol, non-food — residuals?
Net Food Importing Developing Countries (NFIDCs) ranks 1st out of 29 groups with data for 2023.
Is alcohol, non-food — residuals rising or falling in Net Food Importing Developing Countries (NFIDCs)?
Over the last ten years it is up 110.0%. 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 Alcohol, Non-Food — Residuals. Statizoid updates them automatically from the source API.

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Alcohol, Non-Food — Residuals 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-residuals/net-food-importing-developing-countries-nfidcs/

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About this data

Indicator
Alcohol, Non-Food — Residuals
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
209 places, 2,853 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.