Beverages, Fermented — Residuals in Low Income Food Deficit Countries (LIFDCs)

Low Income Food Deficit Countries (LIFDCs): Beverages, Fermented — Residuals was 0 1000 t in 2023. ◆ Volatile

Latest (2023)
0 1000 t
Rank
1st
of 29 groups
All-time high
379 1000 t
in 2016
All-time low
0 1000 t
in 2019
Years of data
14
2010–2023

Beverages, Fermented — Residuals in Low Income Food Deficit Countries (LIFDCs), 2010–2023

01002003004002010201620232010: 283 1000 t2011: 278 1000 t2012: 318 1000 t2013: 328 1000 t2014: 353 1000 t2015: 372 1000 t2016: 379 1000 t2017: 365 1000 t2018: 370 1000 t2019: 0 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

Low Income Food Deficit Countries (LIFDCs) recorded 0 1000 t for beverages, fermented — residuals in 2023. That is the lowest value across all 14 years on record.

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

Over the whole period, beverages, fermented — residuals in Low Income Food Deficit Countries (LIFDCs) peaked at 379 1000 t in 2016 and was at its lowest, 0 1000 t, in 2019.

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.

Beverages, Fermented — Residuals in Low Income Food Deficit Countries (LIFDCs), year by year

Annual values for Beverages, Fermented — Residuals in Low Income Food Deficit Countries (LIFDCs), 2010 to 2023.
Year 1000 t Change
2010 283 1000 t
2011 278 1000 t -1.8%
2012 318 1000 t +14.4%
2013 328 1000 t +3.1%
2014 353 1000 t +7.6%
2015 372 1000 t +5.4%
2016 379 1000 t +1.9%
2017 365 1000 t -3.7%
2018 370 1000 t +1.4%
2019 0 1000 t -100.0%
2020 0 1000 t
2021 0 1000 t
2022 0 1000 t
2023 0 1000 t

Averages by decade

DecadeAverage LowestHighest Years
2010s 304.6 1000 t 0 1000 t 379 1000 t 10
2020s 0 1000 t 0 1000 t 0 1000 t 4

Countries ranked near Low Income Food Deficit Countries (LIFDCs)

  1. 1 Nauru 0 1000 t
  2. 1 Tonga 0 1000 t
  3. 1 Marshall Islands 0 1000 t
  4. 1 Bhutan 0 1000 t
  5. 1 Bahrain 0 1000 t
  6. 1 Cuba 0 1000 t
  7. 1 Turkmenistan 0 1000 t
  8. 1 Timor-Leste 0 1000 t
  9. 1 Kiribati 0 1000 t
  10. 1 Lesotho 0 1000 t
  11. 1 Guinea-Bissau 0 1000 t
  12. 1 Comoros 0 1000 t
  13. 1 Djibouti 0 1000 t
  14. 1 Sao Tome and Principe 0 1000 t
  15. 1 Liberia 0 1000 t
  16. 1 Mauritania 0 1000 t
  17. 1 Tajikistan 0 1000 t
  18. 1 Afghanistan 0 1000 t
  19. 1 China, Macao SAR 0 1000 t
  20. 1 Mongolia 0 1000 t
  21. 1 Gambia 0 1000 t
  22. 1 Solomon Islands 0 1000 t
  23. 1 Albania 0 1000 t
  24. 1 Libya 0 1000 t
  25. 1 Sierra Leone 0 1000 t
  26. 1 Suriname 0 1000 t
  27. 1 Vanuatu 0 1000 t
  28. 1 Montenegro 0 1000 t
  29. 1 Armenia 0 1000 t
  30. 1 Cabo Verde 0 1000 t
  31. 1 Maldives 0 1000 t
  32. 1 Saint Vincent and the Grenadines 0 1000 t
  33. 1 Kyrgyzstan 0 1000 t
  34. 1 Iceland 0 1000 t
  35. 1 Gabon 0 1000 t
  36. 1 Uzbekistan 0 1000 t
  37. 1 Haiti 0 1000 t
  38. 1 Eswatini 0 1000 t
  39. 1 Seychelles 0 1000 t
  40. 1 French Polynesia 0 1000 t
  41. 1 Samoa 0 1000 t
  42. 1 Guinea 0 1000 t
  43. 1 Guyana 0 1000 t compare
  44. 1 Lithuania 0 1000 t
  45. 1 Oman 0 1000 t compare
  46. 1 Papua New Guinea 0 1000 t
  47. 1 Georgia 0 1000 t
  48. 1 Bosnia and Herzegovina 0 1000 t
  49. 1 Jordan 0 1000 t
  50. 1 Grenada 0 1000 t
  51. 1 Angola 0 1000 t compare
  52. 1 Saudi Arabia 0 1000 t
  53. 1 Iraq 0 1000 t
  54. 1 Azerbaijan 0 1000 t
  55. 1 North Macedonia 0 1000 t
  56. 1 Congo 0 1000 t
  57. 1 Finland 0 1000 t
  58. 1 Niger 0 1000 t
  59. 1 Paraguay 0 1000 t
  60. 1 Belarus 0 1000 t
  61. 1 Bahamas 0 1000 t
  62. 1 Uruguay 0 1000 t
  63. 1 Saint Lucia 0 1000 t
  64. 1 New Caledonia 0 1000 t
  65. 1 Namibia 0 1000 t
  66. 1 Algeria 0 1000 t
  67. 1 Latvia 0 1000 t
  68. 1 Slovakia 0 1000 t
  69. 1 Luxembourg 0 1000 t
  70. 1 Burkina Faso 0 1000 t
  71. 1 Ukraine 0 1000 t compare
  72. 1 Chile 0 1000 t compare
  73. 1 Norway 0 1000 t
  74. 1 Viet Nam 0 1000 t
  75. 1 Barbados 0 1000 t
  76. 1 Antigua and Barbuda 0 1000 t
  77. 1 Croatia 0 1000 t compare
  78. 1 Serbia 0 1000 t
  79. 1 Argentina 0 1000 t compare
  80. 1 Czechia 0 1000 t
  81. 1 Panama 0 1000 t
  82. 1 Tunisia 0 1000 t
  83. 1 Myanmar 0 1000 t
  84. 1 Nicaragua 0 1000 t
  85. 1 Israel 0 1000 t
  86. 1 Slovenia 0 1000 t
  87. 1 Yemen 0 1000 t
  88. 1 Belgium 0 1000 t compare
  89. 1 Netherlands (Kingdom of the) 0 1000 t
  90. 1 Bulgaria 0 1000 t
  91. 1 Poland 0 1000 t
  92. 1 Rwanda 0 1000 t
  93. 1 Switzerland 0 1000 t
  94. 1 Denmark 0 1000 t compare
  95. 1 Romania 0 1000 t
  96. 1 Mauritius 0 1000 t
  97. 1 Dominican Republic 0 1000 t compare
  98. 1 Belize 0 1000 t
  99. 1 El Salvador 0 1000 t
  100. 1 Portugal 0 1000 t
  101. 1 United Kingdom of Great Britain and Northern Ireland 0 1000 t
  102. 1 Russian Federation 0 1000 t
  103. 1 Jamaica 0 1000 t compare
  104. 1 Zambia 0 1000 t
  105. 1 Mozambique 0 1000 t
  106. 1 Malawi 0 1000 t
  107. 1 New Zealand 0 1000 t
  108. 1 China, Hong Kong SAR 0 1000 t
  109. 1 Canada 0 1000 t compare
  110. 1 Lebanon 0 1000 t
  111. 1 Madagascar 0 1000 t
  112. 1 Austria 0 1000 t
  113. 1 Democratic Republic of the Congo 0 1000 t
  114. 1 Sweden 0 1000 t
  115. 1 United Arab Emirates 0 1000 t
  116. 1 Malta 0 1000 t
  117. 1 France 0 1000 t
  118. 1 Trinidad and Tobago 0 1000 t
  119. 1 Türkiye 0 1000 t
  120. 1 Kazakhstan 0 1000 t
  121. 1 Malaysia 0 1000 t
  122. 1 Ghana 0 1000 t
  123. 1 Ecuador 0 1000 t
  124. 1 Senegal 0 1000 t
  125. 1 China, Taiwan Province of 0 1000 t
  126. 1 Fiji 0 1000 t compare
  127. 1 Botswana 0 1000 t
  128. 1 Hungary 0 1000 t
  129. 1 Morocco 0 1000 t
  130. 1 Australia 0 1000 t
  131. 1 Greece 0 1000 t
  132. 1 Zimbabwe 0 1000 t
  133. 1 Ethiopia 0 1000 t
  134. 1 Germany 0 1000 t
  135. 1 Bangladesh 0 1000 t
  136. 1 Cyprus 0 1000 t
  137. 1 Cameroon 0 1000 t compare
  138. 1 Italy 0 1000 t
  139. 1 Cambodia 0 1000 t
  140. 1 South Africa 0 1000 t compare
  141. 1 Pakistan 0 1000 t
  142. 1 Nigeria 0 1000 t
  143. 1 Republic of Korea 0 1000 t
  144. 1 Philippines 0 1000 t
  145. 1 Uganda 0 1000 t
  146. 1 Sri Lanka 0 1000 t
  147. 1 Costa Rica 0 1000 t
  148. 1 Honduras 0 1000 t
  149. 1 Peru 0 1000 t
  150. 1 Spain 0 1000 t
  151. 1 India 0 1000 t
  152. 1 Brazil 0 1000 t compare
  153. 1 Thailand 0 1000 t
  154. 1 Mexico 0 1000 t
  155. 1 Egypt 0 1000 t compare
  156. 1 Colombia 0 1000 t
  157. 1 China, mainland 0 1000 t
  158. 1 Australia and New Zealand 0 1000 t
  159. 1 Guatemala 0 1000 t
  160. 1 Indonesia 0 1000 t compare
  161. 1 Nepal 0 1000 t
  162. 1 Kenya 0 1000 t
  163. 1 China 0 1000 t

See the full ranking of 210 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 beverages, fermented — residuals in Low Income Food Deficit Countries (LIFDCs)?
Beverages, fermented — residuals in Low Income Food Deficit Countries (LIFDCs) was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest beverages, fermented — residuals recorded in Low Income Food Deficit Countries (LIFDCs)?
The highest recorded value was 379 1000 t in 2016.
What is the lowest beverages, fermented — residuals recorded in Low Income Food Deficit Countries (LIFDCs)?
The lowest recorded value was 0 1000 t in 2019.
How does Low Income Food Deficit Countries (LIFDCs) rank for beverages, fermented — residuals?
Low Income Food Deficit Countries (LIFDCs) ranks 1st out of 29 groups with data for 2023.
Is beverages, fermented — residuals rising or falling in Low Income Food Deficit Countries (LIFDCs)?
Over the last ten years it is down 100.0%. 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 Beverages, Fermented — Residuals. Statizoid updates them automatically from the source API.

Download this data

CSV · JSON — 14 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).

Share, cite or embed this page

Cite this page

Beverages, Fermented — Residuals in Low Income Food Deficit Countries (LIFDCs). Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 01 September 2026, from https://agriculture.statizoid.com/stat/beverages-fermented-residuals/low-income-food-deficit-countries-lifdcs/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY-NC-SA 3.0 IGO (FAO); please keep the attribution.

<a href="https://agriculture.statizoid.com/stat/beverages-fermented-residuals/low-income-food-deficit-countries-lifdcs/">Beverages, Fermented — Residuals in Low Income Food Deficit Countries (LIFDCs)</a> — Statizoid

About this data

Indicator
Beverages, Fermented — Residuals
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
210 places, 2,856 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.