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Alcohol, Non-Food — Residuals in Low Income Food Deficit Countries (LIFDCs)

Low Income Food Deficit Countries (LIFDCs): 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
-8 1000 t
in 2017
Years of data
14
2010–2023

Alcohol, Non-Food — Residuals in Low Income Food Deficit Countries (LIFDCs), 2010–2023

-8-6-4-2022010201620232010: -1 1000 t2011: -2 1000 t2012: -1 1000 t2013: -1 1000 t2014: -4 1000 t2015: 0 1000 t2016: 0 1000 t2017: -8 1000 t2018: -1 1000 t2019: 0 1000 t2020: -2 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

The most recent figure for alcohol, non-food — residuals in Low Income Food Deficit Countries (LIFDCs) is 1 1000 t, measured in 2023. That is the highest value across all 14 years on record.

That represents a change of up 200.0% over ten years.

Over the whole period, alcohol, non-food — residuals in Low Income Food Deficit Countries (LIFDCs) peaked at 1 1000 t in 2022 and was at its lowest, -8 1000 t, in 2017.

Low Income Food Deficit Countries (LIFDCs) 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 Low Income Food Deficit Countries (LIFDCs), year by year

Year 1000 t Change
2010 -1 1000 t —
2011 -2 1000 t +100.0%
2012 -1 1000 t -50.0%
2013 -1 1000 t -0.0%
2014 -4 1000 t +300.0%
2015 0 1000 t -100.0%
2016 0 1000 t —
2017 -8 1000 t —
2018 -1 1000 t -87.5%
2019 0 1000 t -100.0%
2020 -2 1000 t —
2021 -1 1000 t -50.0%
2022 1 1000 t -200.0%
2023 1 1000 t +0.0%

Averages by decade

DecadeAverage LowestHighest Years
2010s -1.8 1000 t -8 1000 t 0 1000 t 10
2020s -0.25 1000 t -2 1000 t 1 1000 t 4

Countries ranked near Low Income Food Deficit Countries (LIFDCs)

  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 Democratic People's Republic of Korea 0 1000 t
  7. 2 Cuba 0 1000 t
  8. 2 Turkmenistan 0 1000 t
  9. 2 Timor-Leste 0 1000 t
  10. 2 Kiribati 0 1000 t
  11. 2 Lesotho 0 1000 t
  12. 2 Guinea-Bissau 0 1000 t
  13. 2 Comoros 0 1000 t
  14. 2 Djibouti 0 1000 t
  15. 2 Sao Tome and Principe 0 1000 t
  16. 2 Liberia 0 1000 t
  17. 2 Mauritania 0 1000 t
  18. 2 Micronesia 0 1000 t
  19. 2 Tajikistan 0 1000 t
  20. 2 Afghanistan 0 1000 t compare
  21. 2 China, Macao SAR 0 1000 t compare
  22. 2 Mongolia 0 1000 t
  23. 2 Saint Kitts and Nevis 0 1000 t
  24. 2 Gambia 0 1000 t
  25. 2 Solomon Islands 0 1000 t
  26. 2 Albania 0 1000 t
  27. 2 Libya 0 1000 t
  28. 2 Sierra Leone 0 1000 t
  29. 2 Suriname 0 1000 t
  30. 2 Vanuatu 0 1000 t
  31. 2 Kuwait 0 1000 t
  32. 2 Montenegro 0 1000 t
  33. 2 Lao People's Democratic Republic 0 1000 t
  34. 2 Armenia 0 1000 t
  35. 2 Maldives 0 1000 t
  36. 2 Saint Vincent and the Grenadines 0 1000 t
  37. 2 Uzbekistan 0 1000 t compare
  38. 2 Kyrgyzstan 0 1000 t
  39. 2 Gabon 0 1000 t
  40. 2 Iceland 0 1000 t
  41. 2 Haiti 0 1000 t
  42. 2 Samoa 0 1000 t
  43. 2 Oman 0 1000 t
  44. 2 Estonia 0 1000 t
  45. 2 Saudi Arabia 0 1000 t
  46. 2 Eswatini 0 1000 t
  47. 2 Seychelles 0 1000 t
  48. 2 Guinea 0 1000 t
  49. 2 French Polynesia 0 1000 t
  50. 2 Guyana 0 1000 t
  51. 2 Iraq 0 1000 t
  52. 2 Republic of Moldova 0 1000 t
  53. 2 Lithuania 0 1000 t
  54. 2 Papua New Guinea 0 1000 t
  55. 2 Angola 0 1000 t
  56. 2 Georgia 0 1000 t
  57. 2 Bosnia and Herzegovina 0 1000 t
  58. 2 Jordan 0 1000 t
  59. 2 Grenada 0 1000 t
  60. 2 Azerbaijan 0 1000 t
  61. 2 Congo 0 1000 t
  62. 2 North Macedonia 0 1000 t
  63. 2 Niger 0 1000 t
  64. 2 Finland 0 1000 t
  65. 2 Paraguay 0 1000 t
  66. 2 Belarus 0 1000 t
  67. 2 Uruguay 0 1000 t
  68. 2 Bahamas 0 1000 t
  69. 2 Saint Lucia 0 1000 t
  70. 2 New Caledonia 0 1000 t
  71. 2 Namibia 0 1000 t
  72. 2 Algeria 0 1000 t
  73. 2 Luxembourg 0 1000 t
  74. 2 Latvia 0 1000 t
  75. 2 Burkina Faso 0 1000 t
  76. 2 Slovakia 0 1000 t
  77. 2 Ukraine 0 1000 t
  78. 2 Chile 0 1000 t
  79. 2 Ireland 0 1000 t
  80. 2 Viet Nam 0 1000 t compare
  81. 2 Norway 0 1000 t
  82. 2 Antigua and Barbuda 0 1000 t
  83. 2 Barbados 0 1000 t compare
  84. 2 Croatia 0 1000 t
  85. 2 Serbia 0 1000 t
  86. 2 Argentina 0 1000 t
  87. 2 Tunisia 0 1000 t
  88. 2 Czechia 0 1000 t
  89. 2 Panama 0 1000 t
  90. 2 Myanmar 0 1000 t
  91. 2 Israel 0 1000 t
  92. 2 Nicaragua 0 1000 t
  93. 2 Yemen 0 1000 t
  94. 2 Slovenia 0 1000 t
  95. 2 Bulgaria 0 1000 t compare
  96. 2 Belgium 0 1000 t compare
  97. 2 Rwanda 0 1000 t
  98. 2 Switzerland 0 1000 t
  99. 2 Poland 0 1000 t
  100. 2 Denmark 0 1000 t
  101. 2 Dominican Republic 0 1000 t
  102. 2 Romania 0 1000 t
  103. 2 Mauritius 0 1000 t
  104. 2 Iran (Islamic Republic of) 0 1000 t
  105. 2 Belize 0 1000 t
  106. 2 El Salvador 0 1000 t
  107. 2 United Arab Emirates 0 1000 t
  108. 2 Russian Federation 0 1000 t
  109. 2 United Kingdom of Great Britain and Northern Ireland 0 1000 t
  110. 2 Portugal 0 1000 t
  111. 2 Jamaica 0 1000 t
  112. 2 Zambia 0 1000 t
  113. 2 Mozambique 0 1000 t
  114. 2 Malawi 0 1000 t compare
  115. 2 New Zealand 0 1000 t
  116. 2 China, Hong Kong SAR 0 1000 t
  117. 2 Lebanon 0 1000 t
  118. 2 Canada 0 1000 t
  119. 2 Democratic Republic of the Congo 0 1000 t
  120. 2 Madagascar 0 1000 t
  121. 2 Austria 0 1000 t
  122. 2 Syrian Arab Republic 0 1000 t
  123. 2 Sweden 0 1000 t
  124. 2 Malta 0 1000 t
  125. 2 France 0 1000 t compare
  126. 2 Trinidad and Tobago 0 1000 t compare
  127. 2 Türkiye 0 1000 t
  128. 2 Venezuela (Bolivarian Republic of) 0 1000 t
  129. 2 Kazakhstan 0 1000 t compare
  130. 2 Malaysia 0 1000 t
  131. 2 Ghana 0 1000 t
  132. 2 Bolivia (Plurinational State of) 0 1000 t
  133. 2 Ecuador 0 1000 t
  134. 2 China, Taiwan Province of 0 1000 t
  135. 2 Fiji 0 1000 t
  136. 2 Botswana 0 1000 t
  137. 2 Hungary 0 1000 t compare
  138. 2 Australia 0 1000 t
  139. 2 Morocco 0 1000 t
  140. 2 Greece 0 1000 t
  141. 2 Zimbabwe 0 1000 t
  142. 2 Ethiopia 0 1000 t
  143. 2 Germany 0 1000 t
  144. 2 Polynesia 0 1000 t
  145. 2 Bangladesh 0 1000 t
  146. 2 Cameroon 0 1000 t
  147. 2 Cyprus 0 1000 t
  148. 2 Cambodia 0 1000 t compare
  149. 2 Italy 0 1000 t
  150. 2 South Africa 0 1000 t
  151. 2 Pakistan 0 1000 t
  152. 2 Nigeria 0 1000 t
  153. 2 Republic of Korea 0 1000 t
  154. 2 Philippines 0 1000 t
  155. 2 Uganda 0 1000 t
  156. 2 Sri Lanka 0 1000 t
  157. 2 Costa Rica 0 1000 t
  158. 2 Honduras 0 1000 t
  159. 2 Peru 0 1000 t
  160. 2 Spain 0 1000 t
  161. 2 India 0 1000 t
  162. 2 Brazil 0 1000 t
  163. 2 Thailand 0 1000 t
  164. 2 Mexico 0 1000 t
  165. 2 United Republic of Tanzania 0 1000 t
  166. 2 Colombia 0 1000 t
  167. 2 Egypt 0 1000 t
  168. 2 China, mainland 0 1000 t compare
  169. 2 Australia and New Zealand 0 1000 t
  170. 2 Guatemala 0 1000 t
  171. 2 Indonesia 0 1000 t
  172. 2 Nepal 0 1000 t
  173. 2 Kenya 0 1000 t
  174. 2 Melanesia 0 1000 t
  175. 2 China 0 1000 t compare

See the full ranking of 209 places →

More agriculture & rural data for Low Income Food Deficit Countries (LIFDCs)

All data for Low Income Food Deficit Countries (LIFDCs) →

Frequently asked questions

What is alcohol, non-food — residuals in Low Income Food Deficit Countries (LIFDCs)?
Alcohol, non-food — residuals in Low Income Food Deficit Countries (LIFDCs) 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 Low Income Food Deficit Countries (LIFDCs)?
The highest recorded value was 1 1000 t in 2022.
What is the lowest alcohol, non-food — residuals recorded in Low Income Food Deficit Countries (LIFDCs)?
The lowest recorded value was -8 1000 t in 2017.
How does Low Income Food Deficit Countries (LIFDCs) rank for alcohol, non-food — residuals?
Low Income Food Deficit Countries (LIFDCs) ranks 1st out of 29 groups with data for 2023.
Is alcohol, non-food — residuals rising or falling in Low Income Food Deficit Countries (LIFDCs)?
Over the last ten years it is up 200.0%. The long-run trend across the full record is volatile.
Where does this Low Income Food Deficit Countries (LIFDCs) 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 Low Income Food Deficit Countries (LIFDCs). Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 11 September 2026, from https://agriculture.statizoid.com/stat/alcohol-non-food-residuals/low-income-food-deficit-countries-lifdcs/

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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.