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

Low Income Food Deficit Countries (LIFDCs): Oats — Residuals was 0 1000 t in 2023. ◆ Volatile

Latest (2023)
0 1000 t
Rank
5th
of 29 groups
All-time high
0 1000 t
in 2010
All-time low
-8 1000 t
in 2015
Years of data
14
2010–2023

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

-8-6-4-202010201620232010: 0 1000 t2011: 0 1000 t2012: 0 1000 t2013: 0 1000 t2014: -1 1000 t2015: -8 1000 t2016: -2 1000 t2017: -1 1000 t2018: -1 1000 t2019: -3 1000 t2020: -5 1000 t2021: -2 1000 t2022: 0 1000 t2023: 0 1000 t

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

Analysis

In 2023, oats — residuals in Low Income Food Deficit Countries (LIFDCs) stood at 0 1000 t. That is the highest value across all 14 years on record.

The figure is up 100.0% over five years.

Over the whole period, oats — residuals in Low Income Food Deficit Countries (LIFDCs) peaked at 0 1000 t in 2010 and was at its lowest, -8 1000 t, in 2015.

Low Income Food Deficit Countries (LIFDCs) ranks 5th of 29 groups on this measure, in the top quarter.

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

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

Year 1000 t Change
2010 0 1000 t —
2011 0 1000 t —
2012 0 1000 t —
2013 0 1000 t —
2014 -1 1000 t —
2015 -8 1000 t +700.0%
2016 -2 1000 t -75.0%
2017 -1 1000 t -50.0%
2018 -1 1000 t -0.0%
2019 -3 1000 t +200.0%
2020 -5 1000 t +66.7%
2021 -2 1000 t -60.0%
2022 0 1000 t -100.0%
2023 0 1000 t —

Averages by decade

DecadeAverage LowestHighest Years
2010s -1.6 1000 t -8 1000 t 0 1000 t 10
2020s -1.75 1000 t -5 1000 t 0 1000 t 4

Countries ranked near Low Income Food Deficit Countries (LIFDCs)

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

See the full ranking of 212 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 oats — residuals in Low Income Food Deficit Countries (LIFDCs)?
Oats — residuals in Low Income Food Deficit Countries (LIFDCs) was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest oats — residuals recorded in Low Income Food Deficit Countries (LIFDCs)?
The highest recorded value was 0 1000 t in 2010.
What is the lowest oats — residuals recorded in Low Income Food Deficit Countries (LIFDCs)?
The lowest recorded value was -8 1000 t in 2015.
How does Low Income Food Deficit Countries (LIFDCs) rank for oats — residuals?
Low Income Food Deficit Countries (LIFDCs) ranks 5th out of 29 groups with data for 2023.
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 Oats — Residuals. Statizoid updates them automatically from the source API.

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Oats — Residuals in Low Income Food Deficit Countries (LIFDCs). Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 02 September 2026, from https://agriculture.statizoid.com/stat/oats-residuals/low-income-food-deficit-countries-lifdcs/

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About this data

Indicator
Oats — Residuals
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
212 places, 2,877 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.