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Sugar (Raw Equivalent) — Residuals in Low Income Food Deficit Countries (LIFDCs)

Low Income Food Deficit Countries (LIFDCs): Sugar (Raw Equivalent) — Residuals was 1 1000 t in 2023. ◆ Volatile

Latest (2023)
1 1000 t
Change on year
down 99.9%
Rank
7th
of 29 groups
All-time high
891 1000 t
in 2021
All-time low
-4 1000 t
in 2014
Years of data
14
2010–2023

Sugar (Raw Equivalent) — Residuals in Low Income Food Deficit Countries (LIFDCs), 2010–2023

02004006008002010201620232010: 10 1000 t2011: 24 1000 t2012: 19 1000 t2013: 27 1000 t2014: -4 1000 t2015: 456 1000 t2016: 419 1000 t2017: 586 1000 t2018: 516 1000 t2019: 0 1000 t2020: 589 1000 t2021: 891 1000 t2022: 856 1000 t2023: 1 1000 t

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

Analysis

In 2023, sugar (raw equivalent) — residuals in Low Income Food Deficit Countries (LIFDCs) stood at 1 1000 t.

The figure is down 99.9% on the previous year and down 96.3% over ten years.

Over the whole period, sugar (raw equivalent) — residuals in Low Income Food Deficit Countries (LIFDCs) peaked at 891 1000 t in 2021 and was at its lowest, -4 1000 t, in 2014.

That places Low Income Food Deficit Countries (LIFDCs) 7th out of 29 groups with data for 2023, putting it in the top quarter.

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

Sugar (Raw Equivalent) — Residuals in Low Income Food Deficit Countries (LIFDCs), year by year

Year 1000 t Change
2010 10 1000 t —
2011 24 1000 t +140.0%
2012 19 1000 t -20.8%
2013 27 1000 t +42.1%
2014 -4 1000 t -114.8%
2015 456 1000 t -11500.0%
2016 419 1000 t -8.1%
2017 586 1000 t +39.9%
2018 516 1000 t -11.9%
2019 0 1000 t -100.0%
2020 589 1000 t —
2021 891 1000 t +51.3%
2022 856 1000 t -3.9%
2023 1 1000 t -99.9%

Averages by decade

DecadeAverage LowestHighest Years
2010s 205.3 1000 t -4 1000 t 586 1000 t 10
2020s 584.25 1000 t 1 1000 t 891 1000 t 4

Countries ranked near Low Income Food Deficit Countries (LIFDCs)

  1. 4 Timor-Leste 0 1000 t compare
  2. 4 Tajikistan 1 1000 t compare
  3. 4 Türkiye 0 1000 t
  4. 4 Viet Nam 0 1000 t
  5. 4 Democratic Republic of the Congo 0 1000 t
  6. 5 Tuvalu 0 1000 t
  7. 5 Nauru 0 1000 t
  8. 5 Tonga 0 1000 t
  9. 5 Marshall Islands 0 1000 t
  10. 5 Bhutan 0 1000 t compare
  11. 5 Qatar 0 1000 t
  12. 5 Bahrain 0 1000 t compare
  13. 5 Cuba 0 1000 t
  14. 5 Comoros 0 1000 t
  15. 5 Turkmenistan 0 1000 t
  16. 5 Sao Tome and Principe 0 1000 t
  17. 5 Libya 0 1000 t
  18. 5 Afghanistan 0 1000 t compare
  19. 5 Solomon Islands 0 1000 t
  20. 5 Guinea-Bissau 0 1000 t
  21. 5 Mongolia 0 1000 t compare
  22. 5 Saint Kitts and Nevis 0 1000 t
  23. 5 Vanuatu 0 1000 t
  24. 5 China, Macao SAR 0 1000 t
  25. 5 Albania 0 1000 t
  26. 5 Saint Vincent and the Grenadines 0 1000 t
  27. 5 Uzbekistan 0 1000 t
  28. 5 Jordan 0 1000 t
  29. 5 Mauritania 0 1000 t
  30. 5 Armenia 0 1000 t compare
  31. 5 Liberia 0 1000 t
  32. 5 Lesotho 0 1000 t
  33. 5 French Polynesia 0 1000 t compare
  34. 5 Argentina 0 1000 t
  35. 5 North Macedonia 0 1000 t compare
  36. 5 Seychelles 0 1000 t
  37. 5 Suriname 0 1000 t
  38. 5 Paraguay 0 1000 t
  39. 5 Grenada 0 1000 t
  40. 5 Israel 0 1000 t compare
  41. 5 Bahamas 0 1000 t
  42. 5 Montenegro 0 1000 t
  43. 5 Kuwait 0 1000 t compare
  44. 5 Saint Lucia 0 1000 t
  45. 5 Bosnia and Herzegovina 0 1000 t
  46. 5 Barbados 0 1000 t compare
  47. 5 Iceland 0 1000 t
  48. 5 Georgia 0 1000 t
  49. 5 Kyrgyzstan 0 1000 t
  50. 5 Estonia 0 1000 t
  51. 5 Croatia 0 1000 t compare
  52. 5 Iraq 0 1000 t
  53. 5 Mauritius 0 1000 t
  54. 5 Chile 0 1000 t
  55. 5 Luxembourg 0 1000 t
  56. 5 Sierra Leone 0 1000 t
  57. 5 Finland 0 1000 t compare
  58. 5 China, Hong Kong SAR 0 1000 t
  59. 5 Ireland 0 1000 t compare
  60. 5 Algeria 0 1000 t
  61. 5 Tunisia 0 1000 t
  62. 5 Gambia 0 1000 t
  63. 5 Angola 0 1000 t
  64. 5 Maldives 0 1000 t
  65. 5 Antigua and Barbuda 0 1000 t
  66. 5 Samoa 0 1000 t
  67. 5 Eswatini 0 1000 t compare
  68. 5 Guyana 0 1000 t
  69. 5 Trinidad and Tobago 0 1000 t compare
  70. 5 Bulgaria 0 1000 t
  71. 5 Latvia 0 1000 t compare
  72. 5 Gabon 0 1000 t
  73. 5 Malta 0 1000 t compare
  74. 5 Lithuania 0 1000 t compare
  75. 5 Belgium 0 1000 t compare
  76. 5 New Caledonia 0 1000 t compare
  77. 5 Czechia 0 1000 t compare
  78. 5 Greece 0 1000 t compare
  79. 5 Slovakia 0 1000 t
  80. 5 Uruguay 0 1000 t
  81. 5 Congo 0 1000 t
  82. 5 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
  83. 5 Guinea 0 1000 t
  84. 5 Slovenia 0 1000 t compare
  85. 5 Belarus 0 1000 t compare
  86. 5 El Salvador 0 1000 t compare
  87. 5 Papua New Guinea 0 1000 t
  88. 5 United Arab Emirates 0 1000 t compare
  89. 5 Serbia 0 1000 t
  90. 5 Dominican Republic 0 1000 t
  91. 5 Saudi Arabia 0 1000 t compare
  92. 5 Poland 0 1000 t
  93. 5 Fiji 0 1000 t
  94. 5 Jamaica 0 1000 t
  95. 5 Malawi 0 1000 t
  96. 5 Romania 0 1000 t
  97. 5 Norway 0 1000 t
  98. 5 Lebanon 0 1000 t
  99. 5 Belize 0 1000 t compare
  100. 5 Hungary 0 1000 t compare
  101. 5 Oman 0 1000 t
  102. 5 Austria 0 1000 t
  103. 5 Netherlands (Kingdom of the) 0 1000 t compare
  104. 5 Yemen 0 1000 t
  105. 5 Niger 0 1000 t
  106. 5 Malaysia 0 1000 t
  107. 5 Switzerland 0 1000 t compare
  108. 5 Haiti 0 1000 t
  109. 5 Denmark 0 1000 t
  110. 5 Burkina Faso 0 1000 t
  111. 5 Canada 0 1000 t
  112. 5 Panama 0 1000 t compare
  113. 5 Italy 0 1000 t compare
  114. 5 Nicaragua 0 1000 t
  115. 5 Madagascar 0 1000 t
  116. 5 France 0 1000 t compare
  117. 5 Cambodia 0 1000 t
  118. 5 Myanmar 0 1000 t
  119. 5 Portugal 0 1000 t
  120. 5 Zambia 0 1000 t
  121. 5 Cyprus 0 1000 t
  122. 5 Australia 0 1000 t
  123. 5 Sweden 0 1000 t compare
  124. 5 Costa Rica 0 1000 t compare
  125. 5 Morocco 0 1000 t
  126. 5 New Zealand 0 1000 t compare
  127. 5 Rwanda 0 1000 t
  128. 5 Mozambique 0 1000 t compare
  129. 5 Namibia 0 1000 t
  130. 5 Honduras 0 1000 t
  131. 5 Kazakhstan 0 1000 t
  132. 5 Germany 0 1000 t compare
  133. 5 Ecuador 0 1000 t
  134. 5 Cameroon 0 1000 t
  135. 5 Bangladesh 0 1000 t compare
  136. 5 Botswana 0 1000 t
  137. 5 Zimbabwe 0 1000 t compare
  138. 5 Republic of Korea 0 1000 t compare
  139. 5 Ghana 0 1000 t
  140. 5 China, Taiwan Province of 0 1000 t
  141. 5 Ethiopia 0 1000 t
  142. 5 Spain 0 1000 t compare
  143. 5 Philippines 0 1000 t
  144. 5 Peru 0 1000 t
  145. 5 South Africa 0 1000 t
  146. 5 Thailand 0 1000 t
  147. 5 Senegal 0 1000 t
  148. 5 India 0 1000 t
  149. 5 Guatemala 0 1000 t compare
  150. 5 Mexico 0 1000 t
  151. 5 Brazil 0 1000 t
  152. 5 China, mainland 0 1000 t
  153. 5 Russian Federation 0 1000 t compare
  154. 5 Uganda 0 1000 t
  155. 5 Pakistan 0 1000 t
  156. 5 Sri Lanka 0 1000 t
  157. 5 Egypt 0 1000 t
  158. 5 Nigeria 0 1000 t
  159. 5 Indonesia 0 1000 t
  160. 5 Colombia 0 1000 t compare
  161. 5 Australia and New Zealand 0 1000 t compare
  162. 5 Nepal 0 1000 t
  163. 5 Kenya 0 1000 t
  164. 5 China 0 1000 t
  165. 9 Cabo Verde 0 1000 t compare

See the full ranking of 213 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 sugar (raw equivalent) — residuals in Low Income Food Deficit Countries (LIFDCs)?
Sugar (raw equivalent) — 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 sugar (raw equivalent) — residuals recorded in Low Income Food Deficit Countries (LIFDCs)?
The highest recorded value was 891 1000 t in 2021.
What is the lowest sugar (raw equivalent) — residuals recorded in Low Income Food Deficit Countries (LIFDCs)?
The lowest recorded value was -4 1000 t in 2014.
How does Low Income Food Deficit Countries (LIFDCs) rank for sugar (raw equivalent) — residuals?
Low Income Food Deficit Countries (LIFDCs) ranks 7th out of 29 groups with data for 2023.
Is sugar (raw equivalent) — residuals rising or falling in Low Income Food Deficit Countries (LIFDCs)?
Over the last ten years it is down 96.3%. 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 Sugar (Raw Equivalent) — Residuals. Statizoid updates them automatically from the source API.

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Sugar (Raw Equivalent) — 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/sugar-raw-equivalent-residuals/low-income-food-deficit-countries-lifdcs/

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About this data

Indicator
Sugar (Raw Equivalent) — Residuals
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
213 places, 2,901 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.