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Palm Oil — Residuals in Net Food Importing Developing Countries (NFIDCs)

Net Food Importing Developing Countries (NFIDCs): Palm Oil — Residuals was 187 1000 t in 2023. ▼ Falling

Latest (2023)
187 1000 t
Rank
1st
of 30 groups
All-time high
414 1000 t
in 2018
All-time low
0 1000 t
in 2022
Years of data
14
2010–2023

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

01002003004002010201620232010: 141 1000 t2011: 166 1000 t2012: 196 1000 t2013: 226 1000 t2014: 221 1000 t2015: 267 1000 t2016: 202 1000 t2017: 192 1000 t2018: 414 1000 t2019: 130 1000 t2020: 171 1000 t2021: 201 1000 t2022: 0 1000 t2023: 187 1000 t

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

Analysis

In 2023, palm oil — residuals in Net Food Importing Developing Countries (NFIDCs) stood at 187 1000 t.

That represents a change of down 17.3% over ten years.

Over the whole period, palm oil — residuals in Net Food Importing Developing Countries (NFIDCs) peaked at 414 1000 t in 2018 and was at its lowest, 0 1000 t, in 2022.

Net Food Importing Developing Countries (NFIDCs) ranks 1st of 30 groups on this measure, in the top 10%.

The long-run direction has been consistently falling across the 14 years of available data.

Palm Oil — Residuals in Net Food Importing Developing Countries (NFIDCs), year by year

Year 1000 t Change
2010 141 1000 t —
2011 166 1000 t +17.7%
2012 196 1000 t +18.1%
2013 226 1000 t +15.3%
2014 221 1000 t -2.2%
2015 267 1000 t +20.8%
2016 202 1000 t -24.3%
2017 192 1000 t -5.0%
2018 414 1000 t +115.6%
2019 130 1000 t -68.6%
2020 171 1000 t +31.5%
2021 201 1000 t +17.5%
2022 0 1000 t -100.0%
2023 187 1000 t —

Averages by decade

DecadeAverage LowestHighest Years
2010s 215.5 1000 t 130 1000 t 414 1000 t 10
2020s 139.75 1000 t 0 1000 t 201 1000 t 4

Countries ranked near Net Food Importing Developing Countries (NFIDCs)

  1. 1 Djibouti 187 1000 t compare
  2. 2 Micronesia (Federated States of) 0 1000 t
  3. 2 Tuvalu 0 1000 t
  4. 2 Nauru 0 1000 t
  5. 2 Tonga 0 1000 t
  6. 2 Marshall Islands 0 1000 t compare
  7. 2 Bhutan 0 1000 t
  8. 2 Qatar 0 1000 t
  9. 2 Bahrain 0 1000 t
  10. 2 Democratic People's Republic of Korea 0 1000 t
  11. 2 Cuba 0 1000 t
  12. 2 Turkmenistan 0 1000 t
  13. 2 Kiribati 0 1000 t
  14. 2 Timor-Leste 0 1000 t
  15. 2 Comoros 0 1000 t
  16. 2 Lesotho 0 1000 t
  17. 2 Sao Tome and Principe 0 1000 t
  18. 2 Micronesia 0 1000 t compare
  19. 2 Guinea-Bissau 0 1000 t
  20. 2 Saint Kitts and Nevis 0 1000 t
  21. 2 Afghanistan 0 1000 t
  22. 2 China, Macao SAR 0 1000 t
  23. 2 Tajikistan 0 1000 t
  24. 2 Liberia 0 1000 t
  25. 2 Mongolia 0 1000 t
  26. 2 Mauritania 0 1000 t
  27. 2 Solomon Islands 0 1000 t
  28. 2 Vanuatu 0 1000 t
  29. 2 Saint Vincent and the Grenadines 0 1000 t
  30. 2 Libya 0 1000 t
  31. 2 Suriname 0 1000 t
  32. 2 Albania 0 1000 t
  33. 2 Grenada 0 1000 t
  34. 2 Iceland 0 1000 t
  35. 2 French Polynesia 0 1000 t compare
  36. 2 Montenegro 0 1000 t
  37. 2 Cabo Verde 0 1000 t
  38. 2 Saint Lucia 0 1000 t
  39. 2 Armenia 0 1000 t
  40. 2 Seychelles 0 1000 t
  41. 2 Bahamas 0 1000 t
  42. 2 Maldives 0 1000 t
  43. 2 Kuwait 0 1000 t
  44. 2 Sierra Leone 0 1000 t
  45. 2 Samoa 0 1000 t
  46. 2 Lao People's Democratic Republic 0 1000 t
  47. 2 Estonia 0 1000 t
  48. 2 Guyana 0 1000 t
  49. 2 Georgia 0 1000 t
  50. 2 Lithuania 0 1000 t
  51. 2 Kyrgyzstan 0 1000 t
  52. 2 Gambia 0 1000 t
  53. 2 Jordan 0 1000 t
  54. 2 North Macedonia 0 1000 t
  55. 2 Uzbekistan 0 1000 t
  56. 2 New Caledonia 0 1000 t
  57. 2 Bosnia and Herzegovina 0 1000 t
  58. 2 Haiti 0 1000 t
  59. 2 Eswatini 0 1000 t
  60. 2 Gabon 0 1000 t
  61. 2 Azerbaijan 0 1000 t
  62. 2 Antigua and Barbuda 0 1000 t
  63. 2 Finland 0 1000 t compare
  64. 2 Oman 0 1000 t
  65. 2 Barbados 0 1000 t
  66. 2 Republic of Moldova 0 1000 t
  67. 2 Algeria 0 1000 t
  68. 2 Tunisia 0 1000 t
  69. 2 Guinea 0 1000 t
  70. 2 Angola 0 1000 t
  71. 2 Congo 0 1000 t
  72. 2 Iraq 0 1000 t
  73. 2 Luxembourg 0 1000 t
  74. 2 Belarus 0 1000 t
  75. 2 Paraguay 0 1000 t
  76. 2 Ireland 0 1000 t
  77. 2 Niger 0 1000 t
  78. 2 Croatia 0 1000 t compare
  79. 2 Papua New Guinea 0 1000 t
  80. 2 Argentina 0 1000 t
  81. 2 Slovakia 0 1000 t
  82. 2 China, Hong Kong SAR 0 1000 t
  83. 2 Latvia 0 1000 t
  84. 2 Saudi Arabia 0 1000 t
  85. 2 Mauritius 0 1000 t
  86. 2 Viet Nam 0 1000 t
  87. 2 Chile 0 1000 t
  88. 2 Uruguay 0 1000 t
  89. 2 Belgium 0 1000 t compare
  90. 2 Norway 0 1000 t
  91. 2 Namibia 0 1000 t
  92. 2 Belize 0 1000 t
  93. 2 Jamaica 0 1000 t
  94. 2 Israel 0 1000 t
  95. 2 Czechia 0 1000 t compare
  96. 2 Dominican Republic 0 1000 t
  97. 2 Panama 0 1000 t compare
  98. 2 El Salvador 0 1000 t
  99. 2 Slovenia 0 1000 t
  100. 2 Serbia 0 1000 t
  101. 2 Malta 0 1000 t
  102. 2 Rwanda 0 1000 t
  103. 2 Trinidad and Tobago 0 1000 t
  104. 2 Ukraine 0 1000 t
  105. 2 Poland 0 1000 t compare
  106. 2 Portugal 0 1000 t compare
  107. 2 Netherlands (Kingdom of the) 0 1000 t compare
  108. 2 Bulgaria 0 1000 t
  109. 2 Romania 0 1000 t compare
  110. 2 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
  111. 2 Iran (Islamic Republic of) 0 1000 t
  112. 2 Yemen 0 1000 t
  113. 2 Denmark 0 1000 t
  114. 2 Nicaragua 0 1000 t
  115. 2 Burkina Faso 0 1000 t compare
  116. 2 Fiji 0 1000 t
  117. 2 Malawi 0 1000 t
  118. 2 Lebanon 0 1000 t
  119. 2 Polynesia 0 1000 t compare
  120. 2 Zambia 0 1000 t
  121. 2 Türkiye 0 1000 t compare
  122. 2 Syrian Arab Republic 0 1000 t
  123. 2 Madagascar 0 1000 t
  124. 2 United Arab Emirates 0 1000 t
  125. 2 Malaysia 0 1000 t compare
  126. 2 Switzerland 0 1000 t
  127. 2 France 0 1000 t
  128. 2 Greece 0 1000 t
  129. 2 Bolivia (Plurinational State of) 0 1000 t
  130. 2 New Zealand 0 1000 t
  131. 2 Mozambique 0 1000 t
  132. 2 Canada 0 1000 t
  133. 2 Austria 0 1000 t
  134. 2 Hungary 0 1000 t compare
  135. 2 Democratic Republic of the Congo 0 1000 t compare
  136. 2 Sweden 0 1000 t compare
  137. 2 China, Taiwan Province of 0 1000 t
  138. 2 Cyprus 0 1000 t
  139. 2 Myanmar 0 1000 t
  140. 2 Australia 0 1000 t
  141. 2 Venezuela (Bolivarian Republic of) 0 1000 t compare
  142. 2 Botswana 0 1000 t
  143. 2 Ghana 0 1000 t
  144. 2 Morocco 0 1000 t
  145. 2 Ecuador 0 1000 t
  146. 2 Kazakhstan 0 1000 t
  147. 2 Russian Federation 0 1000 t
  148. 2 Zimbabwe 0 1000 t
  149. 2 Honduras 0 1000 t
  150. 2 Italy 0 1000 t compare
  151. 2 Cambodia 0 1000 t
  152. 2 Bangladesh 0 1000 t
  153. 2 South Africa 0 1000 t compare
  154. 2 Senegal 0 1000 t
  155. 2 Costa Rica 0 1000 t
  156. 2 Cameroon 0 1000 t
  157. 2 Germany 0 1000 t compare
  158. 2 Republic of Korea 0 1000 t
  159. 2 Ethiopia 0 1000 t
  160. 2 Côte d'Ivoire 0 1000 t
  161. 2 Philippines 0 1000 t
  162. 2 Pakistan 0 1000 t
  163. 2 Peru 0 1000 t
  164. 2 Sri Lanka 0 1000 t
  165. 2 India 0 1000 t
  166. 2 Uganda 0 1000 t compare
  167. 2 Nigeria 0 1000 t
  168. 2 Spain 0 1000 t compare
  169. 2 Brazil 0 1000 t
  170. 2 China, mainland 0 1000 t
  171. 2 Mexico 0 1000 t
  172. 2 Guatemala 0 1000 t
  173. 2 Egypt 0 1000 t
  174. 2 United Republic of Tanzania 0 1000 t
  175. 2 Indonesia 0 1000 t compare
  176. 2 Colombia 0 1000 t compare
  177. 2 Australia and New Zealand 0 1000 t
  178. 2 Nepal 0 1000 t
  179. 2 Kenya 0 1000 t
  180. 2 Melanesia 0 1000 t
  181. 2 Caribbean 0 1000 t
  182. 2 China 0 1000 t
  183. 2 Nauru 0 1000 t
  184. 2 East Timor 0 1000 t
  185. 2 Laos 0 1000 t
  186. 2 Moldova 0 1000 t
  187. 2 Vietnam 0 1000 t
  188. 2 United Kingdom 0 1000 t compare
  189. 2 Turkey 0 1000 t compare
  190. 2 Syria 0 1000 t
  191. 2 Russia 0 1000 t
  192. 2 Cote d'Ivoire 0 1000 t
  193. 2 United States 0 1000 t

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 palm oil — residuals in Net Food Importing Developing Countries (NFIDCs)?
Palm oil — residuals in Net Food Importing Developing Countries (NFIDCs) was 187 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest palm oil — residuals recorded in Net Food Importing Developing Countries (NFIDCs)?
The highest recorded value was 414 1000 t in 2018.
What is the lowest palm oil — residuals recorded in Net Food Importing Developing Countries (NFIDCs)?
The lowest recorded value was 0 1000 t in 2022.
How does Net Food Importing Developing Countries (NFIDCs) rank for palm oil — residuals?
Net Food Importing Developing Countries (NFIDCs) ranks 1st out of 30 groups with data for 2023.
Is palm oil — residuals rising or falling in Net Food Importing Developing Countries (NFIDCs)?
Over the last ten years it is down 17.3%. The long-run trend across the full record is falling.
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 Palm Oil — Residuals. Statizoid updates them automatically from the source API.

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Palm Oil — 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/palm-oil-residuals/net-food-importing-developing-countries-nfidcs/

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About this data

Indicator
Palm Oil — 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, 3,030 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.