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

Net Food Importing Developing Countries (NFIDCs): Dates — Residuals was 0 1000 t in 2023. ◆ Volatile

Latest (2023)
0 1000 t
Rank
1st
of 31 groups
All-time high
9 1000 t
in 2016
All-time low
-4 1000 t
in 2018
Years of data
14
2010–2023

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

-505102010201620232010: 5 1000 t2011: 7 1000 t2012: 5 1000 t2013: 5 1000 t2014: 4 1000 t2015: 8 1000 t2016: 9 1000 t2017: 8 1000 t2018: -4 1000 t2019: -2 1000 t2020: 0 1000 t2021: 6 1000 t2022: 0 1000 t2023: 0 1000 t

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

Analysis

In 2023, dates — residuals in Net Food Importing Developing Countries (NFIDCs) stood at 0 1000 t.

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

Over the whole period, dates — residuals in Net Food Importing Developing Countries (NFIDCs) peaked at 9 1000 t in 2016 and was at its lowest, -4 1000 t, in 2018.

That places Net Food Importing Developing Countries (NFIDCs) 1st out of 31 groups with data for 2023, putting it in the top 10%.

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

Averages by decade

DecadeAverage LowestHighest Years
2010s 4.5 1000 t -4 1000 t 9 1000 t 10
2020s 1.5 1000 t 0 1000 t 6 1000 t 4

Countries ranked near Net Food Importing Developing Countries (NFIDCs)

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

See the full ranking of 208 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 dates — residuals in Net Food Importing Developing Countries (NFIDCs)?
Dates — residuals in Net Food Importing Developing Countries (NFIDCs) was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest dates — residuals recorded in Net Food Importing Developing Countries (NFIDCs)?
The highest recorded value was 9 1000 t in 2016.
What is the lowest dates — residuals recorded in Net Food Importing Developing Countries (NFIDCs)?
The lowest recorded value was -4 1000 t in 2018.
How does Net Food Importing Developing Countries (NFIDCs) rank for dates — residuals?
Net Food Importing Developing Countries (NFIDCs) ranks 1st out of 31 groups with data for 2023.
Is dates — residuals rising or falling in Net Food Importing Developing Countries (NFIDCs)?
Over the last ten years it is down 100.0%. 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 Dates — Residuals. Statizoid updates them automatically from the source API.

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About this data

Indicator
Dates — Residuals
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
208 places, 2,802 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.