Statizoid

Groundnuts — Residuals in Low Income Food Deficit Countries (LIFDCs)

Low Income Food Deficit Countries (LIFDCs): Groundnuts — Residuals was 833 1000 t in 2023. ◆ Volatile

Latest (2023)
833 1000 t
Change on year
down 12.8%
Rank
3rd
of 29 groups
All-time high
1,443 1000 t
in 2020
All-time low
57 1000 t
in 2015
Years of data
14
2010–2023

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

05001.0k1.5k2010201620232010: 247 1000 t2011: 123 1000 t2012: 536 1000 t2013: 132 1000 t2014: 137 1000 t2015: 57 1000 t2016: 206 1000 t2017: 349 1000 t2018: 352 1000 t2019: 403 1000 t2020: 1.4k 1000 t2021: 924 1000 t2022: 955 1000 t2023: 833 1000 t

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

Analysis

Low Income Food Deficit Countries (LIFDCs) recorded 833 1000 t for groundnuts — residuals in 2023.

The figure is down 12.8% on the previous year and up 531.1% over ten years.

Over the whole period, groundnuts — residuals in Low Income Food Deficit Countries (LIFDCs) peaked at 1,443 1000 t in 2020 and was at its lowest, 57 1000 t, in 2015.

Low Income Food Deficit Countries (LIFDCs) ranks 3rd 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.

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

Year 1000 t Change
2010 247 1000 t —
2011 123 1000 t -50.2%
2012 536 1000 t +335.8%
2013 132 1000 t -75.4%
2014 137 1000 t +3.8%
2015 57 1000 t -58.4%
2016 206 1000 t +261.4%
2017 349 1000 t +69.4%
2018 352 1000 t +0.9%
2019 403 1000 t +14.5%
2020 1,443 1000 t +258.1%
2021 924 1000 t -36.0%
2022 955 1000 t +3.4%
2023 833 1000 t -12.8%

Averages by decade

DecadeAverage LowestHighest Years
2010s 254.2 1000 t 57 1000 t 536 1000 t 10
2020s 1,039 1000 t 833 1000 t 1,443 1000 t 4

Countries ranked near Low Income Food Deficit Countries (LIFDCs)

  1. 1 Senegal 379 1000 t compare
  2. 2 Guinea 296 1000 t compare
  3. 3 Tuvalu 0 1000 t
  4. 3 Naoero 0 1000 t
  5. 3 Tonga 0 1000 t
  6. 3 Marshall Islands 0 1000 t
  7. 3 Qatar 0 1000 t
  8. 3 Bhutan 0 1000 t
  9. 3 Bahrain 0 1000 t
  10. 3 Cuba 0 1000 t
  11. 3 Turkmenistan 0 1000 t
  12. 3 Kiribati 0 1000 t
  13. 3 Djibouti 0 1000 t
  14. 3 Comoros 0 1000 t
  15. 3 Sao Tome and Principe 0 1000 t
  16. 3 Afghanistan 0 1000 t
  17. 3 China, Macao SAR 0 1000 t
  18. 3 Guinea-Bissau 0 1000 t
  19. 3 Solomon Islands 0 1000 t
  20. 3 Tajikistan 0 1000 t
  21. 3 Mongolia 0 1000 t
  22. 3 Saint Kitts and Nevis 0 1000 t
  23. 3 Lesotho 0 1000 t
  24. 3 Vanuatu 0 1000 t compare
  25. 3 Libya 0 1000 t compare
  26. 3 Liberia 0 1000 t
  27. 3 Mauritania 0 1000 t
  28. 3 Albania 0 1000 t
  29. 3 French Polynesia 0 1000 t
  30. 3 Seychelles 0 1000 t
  31. 3 Kuwait 0 1000 t compare
  32. 3 Uzbekistan 0 1000 t compare
  33. 3 Jordan 0 1000 t
  34. 3 Armenia 0 1000 t
  35. 3 Saint Vincent and the Grenadines 0 1000 t
  36. 3 Iceland 0 1000 t
  37. 3 Bahamas 0 1000 t
  38. 3 Suriname 0 1000 t
  39. 3 Montenegro 0 1000 t
  40. 3 Grenada 0 1000 t
  41. 3 Samoa 0 1000 t
  42. 3 Saint Lucia 0 1000 t
  43. 3 North Macedonia 0 1000 t
  44. 3 Georgia 0 1000 t
  45. 3 Estonia 0 1000 t
  46. 3 Gambia 0 1000 t
  47. 3 Maldives 0 1000 t compare
  48. 3 Israel 0 1000 t
  49. 3 Barbados 0 1000 t
  50. 3 Kyrgyzstan 0 1000 t
  51. 3 Antigua and Barbuda 0 1000 t
  52. 3 Gabon 0 1000 t
  53. 3 Sierra Leone 0 1000 t
  54. 3 Argentina 0 1000 t compare
  55. 3 Iraq 0 1000 t
  56. 3 Bosnia and Herzegovina 0 1000 t
  57. 3 Finland 0 1000 t
  58. 3 Angola 0 1000 t
  59. 3 China, Hong Kong SAR 0 1000 t compare
  60. 3 Azerbaijan 0 1000 t
  61. 3 Guyana 0 1000 t
  62. 3 Tunisia 0 1000 t
  63. 3 Mauritius 0 1000 t
  64. 3 Oman 0 1000 t
  65. 3 Eswatini 0 1000 t
  66. 3 Algeria 0 1000 t
  67. 3 Ireland 0 1000 t
  68. 3 Croatia 0 1000 t
  69. 3 Chile 0 1000 t compare
  70. 3 Congo 0 1000 t
  71. 3 New Caledonia 0 1000 t
  72. 3 Latvia 0 1000 t compare
  73. 3 Lithuania 0 1000 t compare
  74. 3 Papua New Guinea 0 1000 t
  75. 3 Malta 0 1000 t
  76. 3 Saudi Arabia 0 1000 t
  77. 3 Belarus 0 1000 t
  78. 3 El Salvador 0 1000 t
  79. 3 Bulgaria 0 1000 t compare
  80. 3 Trinidad and Tobago 0 1000 t compare
  81. 3 Haiti 0 1000 t compare
  82. 3 Uruguay 0 1000 t
  83. 3 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
  84. 3 Fiji 0 1000 t
  85. 3 Niger 0 1000 t
  86. 3 Serbia 0 1000 t
  87. 3 Panama 0 1000 t
  88. 3 Slovenia 0 1000 t
  89. 3 Czechia 0 1000 t
  90. 3 Malaysia 0 1000 t
  91. 3 Yemen 0 1000 t
  92. 3 Dominican Republic 0 1000 t
  93. 3 Norway 0 1000 t
  94. 3 Poland 0 1000 t compare
  95. 3 Romania 0 1000 t
  96. 3 Burkina Faso 0 1000 t compare
  97. 3 Malawi 0 1000 t
  98. 3 Jamaica 0 1000 t
  99. 3 Denmark 0 1000 t
  100. 3 Lebanon 0 1000 t
  101. 3 Netherlands (Kingdom of the) 0 1000 t compare
  102. 3 Canada 0 1000 t
  103. 3 Belize 0 1000 t
  104. 3 Austria 0 1000 t
  105. 3 Zambia 0 1000 t
  106. 3 Namibia 0 1000 t
  107. 3 Switzerland 0 1000 t
  108. 3 Hungary 0 1000 t
  109. 3 Portugal 0 1000 t compare
  110. 3 France 0 1000 t
  111. 3 Italy 0 1000 t
  112. 3 New Zealand 0 1000 t
  113. 3 Cambodia 0 1000 t compare
  114. 3 Sweden 0 1000 t
  115. 3 Mozambique 0 1000 t compare
  116. 3 Myanmar 0 1000 t compare
  117. 3 Cyprus 0 1000 t
  118. 3 Rwanda 0 1000 t
  119. 3 Ghana 0 1000 t compare
  120. 3 Botswana 0 1000 t
  121. 3 China, Taiwan Province of 0 1000 t compare
  122. 3 Zimbabwe 0 1000 t
  123. 3 Ecuador 0 1000 t
  124. 3 Costa Rica 0 1000 t
  125. 3 Cameroon 0 1000 t
  126. 3 Australia 0 1000 t
  127. 3 Bangladesh 0 1000 t
  128. 3 Germany 0 1000 t
  129. 3 Ukraine 0 1000 t
  130. 3 Honduras 0 1000 t
  131. 3 Kazakhstan 0 1000 t
  132. 3 Ethiopia 0 1000 t
  133. 3 Republic of Korea 0 1000 t
  134. 3 Philippines 0 1000 t
  135. 3 Spain 0 1000 t
  136. 3 Thailand 0 1000 t
  137. 3 Peru 0 1000 t
  138. 3 India 0 1000 t
  139. 3 Russian Federation 0 1000 t compare
  140. 3 Nigeria 0 1000 t compare
  141. 3 Uganda 0 1000 t compare
  142. 3 Mexico 0 1000 t
  143. 3 Pakistan 0 1000 t
  144. 3 Guatemala 0 1000 t
  145. 3 Sri Lanka 0 1000 t
  146. 3 Egypt 0 1000 t compare
  147. 3 Colombia 0 1000 t
  148. 3 Australia and New Zealand 0 1000 t
  149. 3 Nepal 0 1000 t
  150. 3 Kenya 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 groundnuts — residuals in Low Income Food Deficit Countries (LIFDCs)?
Groundnuts — residuals in Low Income Food Deficit Countries (LIFDCs) was 833 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest groundnuts — residuals recorded in Low Income Food Deficit Countries (LIFDCs)?
The highest recorded value was 1,443 1000 t in 2020.
What is the lowest groundnuts — residuals recorded in Low Income Food Deficit Countries (LIFDCs)?
The lowest recorded value was 57 1000 t in 2015.
How does Low Income Food Deficit Countries (LIFDCs) rank for groundnuts — residuals?
Low Income Food Deficit Countries (LIFDCs) ranks 3rd out of 29 groups with data for 2023.
Is groundnuts — residuals rising or falling in Low Income Food Deficit Countries (LIFDCs)?
Over the last ten years it is up 531.1%. 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 Groundnuts — Residuals. Statizoid updates them automatically from the source API.

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Groundnuts — Residuals in Low Income Food Deficit Countries (LIFDCs). Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 27 August 2026, from https://agriculture.statizoid.com/stat/groundnuts-residuals/low-income-food-deficit-countries-lifdcs/

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About this data

Indicator
Groundnuts — 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, 2,893 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.