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

Low Income Food Deficit Countries (LIFDCs): Peas — Residuals was 5 1000 t in 2023. ◆ Volatile

Latest (2023)
5 1000 t
Change on year
up 266.7%
Rank
1st
of 29 groups
All-time high
5 1000 t
in 2023
All-time low
-14 1000 t
in 2012
Years of data
14
2010–2023

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

-15-10-5052010201620232010: 0 1000 t2011: 0 1000 t2012: -14 1000 t2013: -8 1000 t2014: -6 1000 t2015: -1 1000 t2016: -4 1000 t2017: -7 1000 t2018: 0 1000 t2019: -6 1000 t2020: -1 1000 t2021: -2 1000 t2022: -3 1000 t2023: 5 1000 t

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

Analysis

Low Income Food Deficit Countries (LIFDCs) recorded 5 1000 t for peas — residuals in 2023. That is the highest value across all 14 years on record.

That represents a change of up 266.7% on the previous year and up 162.5% over ten years.

Over the whole period, peas — residuals in Low Income Food Deficit Countries (LIFDCs) peaked at 5 1000 t in 2023 and was at its lowest, -14 1000 t, in 2012.

That places Low Income Food Deficit Countries (LIFDCs) 1st out of 29 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.

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

Annual values for Peas — Residuals in Low Income Food Deficit Countries (LIFDCs), 2010 to 2023.
Year 1000 t Change
2010 0 1000 t
2011 0 1000 t
2012 -14 1000 t
2013 -8 1000 t -42.9%
2014 -6 1000 t -25.0%
2015 -1 1000 t -83.3%
2016 -4 1000 t +300.0%
2017 -7 1000 t +75.0%
2018 0 1000 t -100.0%
2019 -6 1000 t
2020 -1 1000 t -83.3%
2021 -2 1000 t +100.0%
2022 -3 1000 t +50.0%
2023 5 1000 t -266.7%

Averages by decade

DecadeAverage LowestHighest Years
2010s -4.6 1000 t -14 1000 t 0 1000 t 10
2020s -0.25 1000 t -3 1000 t 5 1000 t 4

Countries ranked near Low Income Food Deficit Countries (LIFDCs)

  1. 1 Tuvalu 0 1000 t
  2. 1 Naoero 0 1000 t
  3. 1 Tonga 0 1000 t
  4. 1 Marshall Islands 0 1000 t
  5. 1 Bhutan 0 1000 t
  6. 1 Qatar 0 1000 t
  7. 1 Bahrain 0 1000 t
  8. 1 Cuba 0 1000 t
  9. 1 Kiribati 0 1000 t
  10. 1 Sao Tome and Principe 0 1000 t
  11. 1 Comoros 0 1000 t
  12. 1 Turkmenistan 0 1000 t
  13. 1 Djibouti 0 1000 t compare
  14. 1 Afghanistan 0 1000 t
  15. 1 Solomon Islands 0 1000 t
  16. 1 Saint Kitts and Nevis 0 1000 t
  17. 1 Guinea-Bissau 0 1000 t
  18. 1 Tajikistan 0 1000 t
  19. 1 Libya 0 1000 t
  20. 1 China, Macao SAR 0 1000 t
  21. 1 Mongolia 0 1000 t
  22. 1 Vanuatu 0 1000 t
  23. 1 Liberia 0 1000 t
  24. 1 Albania 0 1000 t
  25. 1 Mauritania 0 1000 t
  26. 1 Jordan 0 1000 t
  27. 1 Saint Vincent and the Grenadines 0 1000 t
  28. 1 Uzbekistan 0 1000 t
  29. 1 Seychelles 0 1000 t
  30. 1 French Polynesia 0 1000 t
  31. 1 Lesotho 0 1000 t
  32. 1 Kuwait 0 1000 t
  33. 1 Armenia 0 1000 t
  34. 1 Suriname 0 1000 t
  35. 1 Bahamas 0 1000 t
  36. 1 Montenegro 0 1000 t
  37. 1 Grenada 0 1000 t
  38. 1 Iceland 0 1000 t
  39. 1 Israel 0 1000 t
  40. 1 Argentina 0 1000 t
  41. 1 Paraguay 0 1000 t
  42. 1 North Macedonia 0 1000 t
  43. 1 Saint Lucia 0 1000 t
  44. 1 Georgia 0 1000 t
  45. 1 Gambia 0 1000 t
  46. 1 Maldives 0 1000 t
  47. 1 Samoa 0 1000 t
  48. 1 Barbados 0 1000 t
  49. 1 Kyrgyzstan 0 1000 t
  50. 1 Bosnia and Herzegovina 0 1000 t
  51. 1 Sierra Leone 0 1000 t
  52. 1 Gabon 0 1000 t
  53. 1 Iraq 0 1000 t
  54. 1 Mauritius 0 1000 t
  55. 1 Antigua and Barbuda 0 1000 t
  56. 1 Estonia 0 1000 t compare
  57. 1 China, Hong Kong SAR 0 1000 t
  58. 1 Luxembourg 0 1000 t
  59. 1 Croatia 0 1000 t compare
  60. 1 Angola 0 1000 t
  61. 1 Tunisia 0 1000 t
  62. 1 Algeria 0 1000 t
  63. 1 Eswatini 0 1000 t
  64. 1 Guyana 0 1000 t
  65. 1 Finland 0 1000 t
  66. 1 Chile 0 1000 t
  67. 1 Azerbaijan 0 1000 t
  68. 1 Ireland 0 1000 t
  69. 1 New Caledonia 0 1000 t
  70. 1 Latvia 0 1000 t compare
  71. 1 Trinidad and Tobago 0 1000 t
  72. 1 Lithuania 0 1000 t
  73. 1 Guinea 0 1000 t
  74. 1 Bulgaria 0 1000 t
  75. 1 Malta 0 1000 t
  76. 1 Papua New Guinea 0 1000 t
  77. 1 Belgium 0 1000 t
  78. 1 Congo 0 1000 t
  79. 1 United Arab Emirates 0 1000 t
  80. 1 Saudi Arabia 0 1000 t
  81. 1 Uruguay 0 1000 t
  82. 1 Czechia 0 1000 t
  83. 1 Slovakia 0 1000 t
  84. 1 El Salvador 0 1000 t
  85. 1 Oman 0 1000 t
  86. 1 Belarus 0 1000 t
  87. 1 Serbia 0 1000 t
  88. 1 Malaysia 0 1000 t
  89. 1 Greece 0 1000 t
  90. 1 Slovenia 0 1000 t
  91. 1 Fiji 0 1000 t
  92. 1 Burkina Faso 0 1000 t
  93. 1 Dominican Republic 0 1000 t
  94. 1 Malawi 0 1000 t compare
  95. 1 Poland 0 1000 t
  96. 1 Niger 0 1000 t
  97. 1 Lebanon 0 1000 t
  98. 1 Yemen 0 1000 t compare
  99. 1 Romania 0 1000 t compare
  100. 1 Haiti 0 1000 t
  101. 1 Panama 0 1000 t
  102. 1 Norway 0 1000 t
  103. 1 Jamaica 0 1000 t
  104. 1 Hungary 0 1000 t
  105. 1 Denmark 0 1000 t
  106. 1 Belize 0 1000 t
  107. 1 Nicaragua 0 1000 t
  108. 1 Netherlands (Kingdom of the) 0 1000 t
  109. 1 Austria 0 1000 t
  110. 1 Switzerland 0 1000 t
  111. 1 Zambia 0 1000 t
  112. 1 Italy 0 1000 t
  113. 1 Canada 0 1000 t
  114. 1 Portugal 0 1000 t
  115. 1 Madagascar 0 1000 t
  116. 1 Cambodia 0 1000 t
  117. 1 France 0 1000 t compare
  118. 1 Myanmar 0 1000 t
  119. 1 Namibia 0 1000 t
  120. 1 Cyprus 0 1000 t
  121. 1 Morocco 0 1000 t
  122. 1 Ghana 0 1000 t compare
  123. 1 Mozambique 0 1000 t compare
  124. 1 Costa Rica 0 1000 t
  125. 1 Australia 0 1000 t
  126. 1 Sweden 0 1000 t
  127. 1 Zimbabwe 0 1000 t
  128. 1 Cameroon 0 1000 t
  129. 1 New Zealand 0 1000 t
  130. 1 Rwanda 0 1000 t
  131. 1 Honduras 0 1000 t
  132. 1 Bangladesh 0 1000 t
  133. 1 China, Taiwan Province of 0 1000 t
  134. 1 Ecuador 0 1000 t
  135. 1 Kazakhstan 0 1000 t compare
  136. 1 Democratic Republic of the Congo 5 1000 t compare
  137. 1 Ukraine 0 1000 t
  138. 1 Germany 0 1000 t
  139. 1 Republic of Korea 0 1000 t
  140. 1 Senegal 0 1000 t
  141. 1 Ethiopia 0 1000 t
  142. 1 Philippines 0 1000 t
  143. 1 Spain 0 1000 t
  144. 1 Thailand 0 1000 t
  145. 1 South Africa 0 1000 t
  146. 1 Peru 0 1000 t
  147. 1 India 0 1000 t
  148. 1 Brazil 0 1000 t
  149. 1 Nigeria 0 1000 t
  150. 1 Guatemala 0 1000 t
  151. 1 Mexico 0 1000 t
  152. 1 Sri Lanka 0 1000 t
  153. 1 Russian Federation 0 1000 t
  154. 1 Pakistan 0 1000 t
  155. 1 Uganda 0 1000 t
  156. 1 China, mainland 0 1000 t
  157. 1 Indonesia 0 1000 t
  158. 1 Egypt 0 1000 t compare
  159. 1 Colombia 0 1000 t compare
  160. 1 Australia and New Zealand 0 1000 t
  161. 1 Nepal 0 1000 t
  162. 1 Kenya 0 1000 t
  163. 1 China 0 1000 t
  164. 4 Timor-Leste 0 1000 t
  165. 4 Cabo Verde 0 1000 t
  166. 4 Viet Nam 0 1000 t
  167. 4 Türkiye 0 1000 t

See the full ranking of 211 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 peas — residuals in Low Income Food Deficit Countries (LIFDCs)?
Peas — residuals in Low Income Food Deficit Countries (LIFDCs) was 5 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest peas — residuals recorded in Low Income Food Deficit Countries (LIFDCs)?
The highest recorded value was 5 1000 t in 2023.
What is the lowest peas — residuals recorded in Low Income Food Deficit Countries (LIFDCs)?
The lowest recorded value was -14 1000 t in 2012.
How does Low Income Food Deficit Countries (LIFDCs) rank for peas — residuals?
Low Income Food Deficit Countries (LIFDCs) ranks 1st out of 29 groups with data for 2023.
Is peas — residuals rising or falling in Low Income Food Deficit Countries (LIFDCs)?
Over the last ten years it is up 162.5%. 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 Peas — Residuals. Statizoid updates them automatically from the source API.

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Peas — Residuals in Low Income Food Deficit Countries (LIFDCs). Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 31 August 2026, from https://agriculture.statizoid.com/stat/peas-residuals/low-income-food-deficit-countries-lifdcs/

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About this data

Indicator
Peas — Residuals
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
211 places, 2,846 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.