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Groundnuts — Residuals in Net Food Importing Developing Countries (NFIDCs)

Net Food Importing Developing Countries (NFIDCs): Groundnuts — Residuals was 850 1000 t in 2023. ◆ Volatile

Latest (2023)
850 1000 t
Change on year
down 11.0%
Rank
2nd
of 30 groups
All-time high
1,456 1000 t
in 2020
All-time low
90 1000 t
in 2015
Years of data
14
2010–2023

Groundnuts — Residuals in Net Food Importing Developing Countries (NFIDCs), 2010–2023

05001.0k1.5k2010201620232010: 249 1000 t2011: 141 1000 t2012: 540 1000 t2013: 173 1000 t2014: 176 1000 t2015: 90 1000 t2016: 206 1000 t2017: 352 1000 t2018: 379 1000 t2019: 460 1000 t2020: 1.5k 1000 t2021: 875 1000 t2022: 955 1000 t2023: 850 1000 t

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

Analysis

The most recent figure for groundnuts — residuals in Net Food Importing Developing Countries (NFIDCs) is 850 1000 t, measured in 2023.

The figure is down 11.0% on the previous year and up 391.3% over ten years.

Over the whole period, groundnuts — residuals in Net Food Importing Developing Countries (NFIDCs) peaked at 1,456 1000 t in 2020 and was at its lowest, 90 1000 t, in 2015.

Net Food Importing Developing Countries (NFIDCs) ranks 2nd of 30 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 Net Food Importing Developing Countries (NFIDCs), year by year

Year 1000 t Change
2010 249 1000 t —
2011 141 1000 t -43.4%
2012 540 1000 t +283.0%
2013 173 1000 t -68.0%
2014 176 1000 t +1.7%
2015 90 1000 t -48.9%
2016 206 1000 t +128.9%
2017 352 1000 t +70.9%
2018 379 1000 t +7.7%
2019 460 1000 t +21.4%
2020 1,456 1000 t +216.5%
2021 875 1000 t -39.9%
2022 955 1000 t +9.1%
2023 850 1000 t -11.0%

Averages by decade

DecadeAverage LowestHighest Years
2010s 276.6 1000 t 90 1000 t 540 1000 t 10
2020s 1,034 1000 t 850 1000 t 1,456 1000 t 4

Countries ranked near Net Food Importing Developing Countries (NFIDCs)

  1. 1 Senegal 379 1000 t compare
  2. 2 Guinea 296 1000 t compare
  3. 3 Micronesia (Federated States of) 0 1000 t
  4. 3 Tuvalu 0 1000 t
  5. 3 Nauru 0 1000 t
  6. 3 Tonga 0 1000 t
  7. 3 Marshall Islands 0 1000 t
  8. 3 Qatar 0 1000 t
  9. 3 Bhutan 0 1000 t
  10. 3 Bahrain 0 1000 t
  11. 3 Democratic People's Republic of Korea 0 1000 t
  12. 3 Cuba 0 1000 t
  13. 3 Turkmenistan 0 1000 t
  14. 3 Kiribati 0 1000 t
  15. 3 Djibouti 0 1000 t
  16. 3 Comoros 0 1000 t
  17. 3 Sao Tome and Principe 0 1000 t
  18. 3 Timor-Leste 0 1000 t
  19. 3 Afghanistan 0 1000 t
  20. 3 China, Macao SAR 0 1000 t
  21. 3 Guinea-Bissau 0 1000 t
  22. 3 Solomon Islands 0 1000 t
  23. 3 Tajikistan 0 1000 t
  24. 3 Mongolia 0 1000 t
  25. 3 Saint Kitts and Nevis 0 1000 t
  26. 3 Lesotho 0 1000 t
  27. 3 Vanuatu 0 1000 t compare
  28. 3 Libya 0 1000 t compare
  29. 3 Micronesia 0 1000 t
  30. 3 Liberia 0 1000 t
  31. 3 Mauritania 0 1000 t
  32. 3 Cabo Verde 0 1000 t
  33. 3 Albania 0 1000 t
  34. 3 French Polynesia 0 1000 t
  35. 3 Seychelles 0 1000 t
  36. 3 Kuwait 0 1000 t compare
  37. 3 Uzbekistan 0 1000 t compare
  38. 3 Jordan 0 1000 t
  39. 3 Armenia 0 1000 t
  40. 3 Saint Vincent and the Grenadines 0 1000 t
  41. 3 Iceland 0 1000 t
  42. 3 Bahamas 0 1000 t
  43. 3 Suriname 0 1000 t
  44. 3 Montenegro 0 1000 t
  45. 3 Grenada 0 1000 t
  46. 3 Samoa 0 1000 t
  47. 3 Saint Lucia 0 1000 t
  48. 3 North Macedonia 0 1000 t
  49. 3 Georgia 0 1000 t
  50. 3 Estonia 0 1000 t
  51. 3 Gambia 0 1000 t
  52. 3 Maldives 0 1000 t compare
  53. 3 Israel 0 1000 t
  54. 3 Barbados 0 1000 t
  55. 3 Kyrgyzstan 0 1000 t
  56. 3 Antigua and Barbuda 0 1000 t
  57. 3 Gabon 0 1000 t
  58. 3 Sierra Leone 0 1000 t
  59. 3 Argentina 0 1000 t compare
  60. 3 Iraq 0 1000 t
  61. 3 Bosnia and Herzegovina 0 1000 t
  62. 3 Finland 0 1000 t
  63. 3 Angola 0 1000 t
  64. 3 China, Hong Kong SAR 0 1000 t compare
  65. 3 Azerbaijan 0 1000 t
  66. 3 Guyana 0 1000 t
  67. 3 Tunisia 0 1000 t
  68. 3 Mauritius 0 1000 t
  69. 3 Oman 0 1000 t
  70. 3 Eswatini 0 1000 t
  71. 3 Algeria 0 1000 t
  72. 3 Ireland 0 1000 t
  73. 3 Croatia 0 1000 t
  74. 3 Chile 0 1000 t compare
  75. 3 Congo 0 1000 t
  76. 3 New Caledonia 0 1000 t
  77. 3 Latvia 0 1000 t compare
  78. 3 Lithuania 0 1000 t compare
  79. 3 Papua New Guinea 0 1000 t
  80. 3 Malta 0 1000 t
  81. 3 Saudi Arabia 0 1000 t
  82. 3 Belarus 0 1000 t
  83. 3 El Salvador 0 1000 t
  84. 3 Bulgaria 0 1000 t compare
  85. 3 Trinidad and Tobago 0 1000 t compare
  86. 3 Haiti 0 1000 t compare
  87. 3 Republic of Moldova 0 1000 t
  88. 3 Uruguay 0 1000 t
  89. 3 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
  90. 3 Iran (Islamic Republic of) 0 1000 t
  91. 3 Lao People's Democratic Republic 0 1000 t
  92. 3 Fiji 0 1000 t
  93. 3 Niger 0 1000 t
  94. 3 Türkiye 0 1000 t
  95. 3 Serbia 0 1000 t
  96. 3 Syrian Arab Republic 0 1000 t
  97. 3 Panama 0 1000 t
  98. 3 Slovenia 0 1000 t
  99. 3 Czechia 0 1000 t
  100. 3 Malaysia 0 1000 t
  101. 3 Yemen 0 1000 t
  102. 3 Dominican Republic 0 1000 t
  103. 3 Norway 0 1000 t
  104. 3 Poland 0 1000 t compare
  105. 3 Romania 0 1000 t
  106. 3 Burkina Faso 0 1000 t compare
  107. 3 Malawi 0 1000 t
  108. 3 Jamaica 0 1000 t
  109. 3 Denmark 0 1000 t
  110. 3 Lebanon 0 1000 t
  111. 3 Netherlands (Kingdom of the) 0 1000 t compare
  112. 3 Canada 0 1000 t
  113. 3 Belize 0 1000 t
  114. 3 Austria 0 1000 t
  115. 3 Polynesia 0 1000 t
  116. 3 Zambia 0 1000 t
  117. 3 Namibia 0 1000 t
  118. 3 Switzerland 0 1000 t
  119. 3 Hungary 0 1000 t
  120. 3 Portugal 0 1000 t compare
  121. 3 France 0 1000 t
  122. 3 Bolivia (Plurinational State of) 0 1000 t compare
  123. 3 Italy 0 1000 t
  124. 3 New Zealand 0 1000 t
  125. 3 Cambodia 0 1000 t compare
  126. 3 Sweden 0 1000 t
  127. 3 Mozambique 0 1000 t compare
  128. 3 Myanmar 0 1000 t compare
  129. 3 Cyprus 0 1000 t
  130. 3 Rwanda 0 1000 t
  131. 3 Ghana 0 1000 t compare
  132. 3 Botswana 0 1000 t
  133. 3 China, Taiwan Province of 0 1000 t compare
  134. 3 Democratic Republic of the Congo 0 1000 t compare
  135. 3 Zimbabwe 0 1000 t
  136. 3 Ecuador 0 1000 t
  137. 3 Costa Rica 0 1000 t
  138. 3 Cameroon 0 1000 t
  139. 3 Australia 0 1000 t
  140. 3 Bangladesh 0 1000 t
  141. 3 Germany 0 1000 t
  142. 3 Ukraine 0 1000 t
  143. 3 Honduras 0 1000 t
  144. 3 Kazakhstan 0 1000 t
  145. 3 Côte d'Ivoire 0 1000 t compare
  146. 3 Ethiopia 0 1000 t
  147. 3 Republic of Korea 0 1000 t
  148. 3 Philippines 0 1000 t
  149. 3 Spain 0 1000 t
  150. 3 Thailand 0 1000 t
  151. 3 Peru 0 1000 t
  152. 3 India 0 1000 t
  153. 3 Russian Federation 0 1000 t compare
  154. 3 Nigeria 0 1000 t compare
  155. 3 Uganda 0 1000 t compare
  156. 3 Mexico 0 1000 t
  157. 3 Pakistan 0 1000 t
  158. 3 Guatemala 0 1000 t
  159. 3 Sri Lanka 0 1000 t
  160. 3 Egypt 0 1000 t compare
  161. 3 United Republic of Tanzania 0 1000 t
  162. 3 Colombia 0 1000 t
  163. 3 Melanesia 0 1000 t compare
  164. 3 Australia and New Zealand 0 1000 t
  165. 3 Nepal 0 1000 t
  166. 3 Kenya 0 1000 t compare
  167. 3 Caribbean 0 1000 t compare
  168. 3 Nauru 0 1000 t
  169. 3 East Timor 0 1000 t
  170. 3 Moldova 0 1000 t
  171. 3 United Kingdom 0 1000 t compare
  172. 3 Laos 0 1000 t
  173. 3 Turkey 0 1000 t
  174. 3 Syria 0 1000 t
  175. 3 Cote d'Ivoire 0 1000 t compare
  176. 3 Russia 0 1000 t compare

See the full ranking of 224 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 groundnuts — residuals in Net Food Importing Developing Countries (NFIDCs)?
Groundnuts — residuals in Net Food Importing Developing Countries (NFIDCs) was 850 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest groundnuts — residuals recorded in Net Food Importing Developing Countries (NFIDCs)?
The highest recorded value was 1,456 1000 t in 2020.
What is the lowest groundnuts — residuals recorded in Net Food Importing Developing Countries (NFIDCs)?
The lowest recorded value was 90 1000 t in 2015.
How does Net Food Importing Developing Countries (NFIDCs) rank for groundnuts — residuals?
Net Food Importing Developing Countries (NFIDCs) ranks 2nd out of 30 groups with data for 2023.
Is groundnuts — residuals rising or falling in Net Food Importing Developing Countries (NFIDCs)?
Over the last ten years it is up 391.3%. 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 Groundnuts — Residuals. Statizoid updates them automatically from the source API.

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Groundnuts — Residuals in Net Food Importing Developing Countries (NFIDCs). Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 01 October 2026, from https://agriculture.statizoid.com/stat/groundnuts-residuals/net-food-importing-developing-countries-nfidcs/

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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
224 places, 3,038 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.