Statizoid

Peas — Stock Variation in World

World: Peas — Stock Variation was -625 1000 t in 2023. ◆ Volatile

Latest (2023)
-625 1000 t
Change on year
down 225.0%
Rank
30th
of 30 groups
All-time high
1,898 1000 t
in 2017
All-time low
-1,068 1000 t
in 2021
Years of data
14
2010–2023

Peas — Stock Variation in World, 2010–2023

-1.0k01.0k2.0k2010201620232010: -245 1000 t2011: -644 1000 t2012: 635 1000 t2013: 515 1000 t2014: 1.2k 1000 t2015: 873 1000 t2016: 1.6k 1000 t2017: 1.9k 1000 t2018: 5 1000 t2019: 394 1000 t2020: 265 1000 t2021: -1.1k 1000 t2022: 500 1000 t2023: -625 1000 t

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

Analysis

In 2023, peas — stock variation in World stood at -625 1000 t.

That represents a change of down 225.0% on the previous year and down 221.4% over ten years.

Over the whole period, peas — stock variation in World peaked at 1,898 1000 t in 2017 and was at its lowest, -1,068 1000 t, in 2021.

World ranks 30th of 30 groups on this measure, in the bottom quarter.

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

Peas — Stock Variation in World, year by year

Year 1000 t Change
2010 -245 1000 t —
2011 -644 1000 t +162.9%
2012 635 1000 t -198.6%
2013 515 1000 t -18.9%
2014 1,206 1000 t +134.2%
2015 873 1000 t -27.6%
2016 1,644 1000 t +88.3%
2017 1,898 1000 t +15.5%
2018 5 1000 t -99.7%
2019 394 1000 t +7780.0%
2020 265 1000 t -32.7%
2021 -1,068 1000 t -503.0%
2022 500 1000 t -146.8%
2023 -625 1000 t -225.0%

Biggest year-on-year movements

Years where Peas — Stock Variation in World changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.

YearChange FromTo
2019 +7780.0% 5 1000 t 394 1000 t

Averages by decade

DecadeAverage LowestHighest Years
2010s 628.1 1000 t -644 1000 t 1,898 1000 t 10
2020s -232 1000 t -1,068 1000 t 500 1000 t 4

Countries ranked near World

  1. 31 Tuvalu 0 1000 t
  2. 31 Nauru 0 1000 t
  3. 31 Tonga 0 1000 t
  4. 31 Marshall Islands 0 1000 t
  5. 31 Bhutan 0 1000 t
  6. 31 Qatar 0 1000 t
  7. 31 Bahrain 0 1000 t
  8. 31 Cuba 0 1000 t
  9. 31 Kiribati 0 1000 t
  10. 31 Sao Tome and Principe 0 1000 t
  11. 31 Turkmenistan 0 1000 t compare
  12. 31 Comoros 0 1000 t
  13. 31 Solomon Islands 0 1000 t
  14. 31 Saint Kitts and Nevis 0 1000 t
  15. 31 China, Macao SAR 0 1000 t
  16. 31 Mongolia 0 1000 t
  17. 31 Vanuatu 0 1000 t
  18. 31 Micronesia 0 1000 t
  19. 31 Albania 0 1000 t
  20. 31 Mauritania 0 1000 t compare
  21. 31 Cabo Verde 0 1000 t
  22. 31 Uzbekistan 0 1000 t compare
  23. 31 Saint Vincent and the Grenadines 0 1000 t
  24. 31 Jordan 0 1000 t compare
  25. 31 Seychelles 0 1000 t
  26. 31 Lesotho 0 1000 t compare
  27. 31 French Polynesia 0 1000 t
  28. 31 Suriname 0 1000 t compare
  29. 31 Kuwait 0 1000 t
  30. 31 Bahamas 0 1000 t
  31. 31 Grenada 0 1000 t
  32. 31 Montenegro 0 1000 t
  33. 31 Argentina 0 1000 t compare
  34. 31 North Macedonia 0 1000 t
  35. 31 Paraguay 0 1000 t
  36. 31 Iceland 0 1000 t
  37. 31 Saint Lucia 0 1000 t
  38. 31 Georgia 0 1000 t
  39. 31 Gambia 0 1000 t
  40. 31 Bosnia and Herzegovina 0 1000 t compare
  41. 31 Barbados 0 1000 t
  42. 31 Maldives 0 1000 t
  43. 31 Samoa 0 1000 t
  44. 31 Sierra Leone 0 1000 t
  45. 31 Antigua and Barbuda 0 1000 t
  46. 31 Luxembourg 0 1000 t
  47. 31 Gabon 0 1000 t
  48. 31 Croatia 0 1000 t compare
  49. 31 China, Hong Kong SAR 0 1000 t
  50. 31 Algeria 0 1000 t compare
  51. 31 Guyana 0 1000 t compare
  52. 31 Tunisia 0 1000 t compare
  53. 31 Chile 0 1000 t compare
  54. 31 Ireland 0 1000 t compare
  55. 31 Eswatini 0 1000 t
  56. 31 Trinidad and Tobago 0 1000 t compare
  57. 31 New Caledonia 0 1000 t
  58. 31 Bulgaria 0 1000 t compare
  59. 31 Malta 0 1000 t
  60. 31 Belgium 0 1000 t compare
  61. 31 Guinea 0 1000 t compare
  62. 31 Congo 0 1000 t compare
  63. 31 Iran (Islamic Republic of) 0 1000 t compare
  64. 31 Czechia 0 1000 t compare
  65. 31 Papua New Guinea 0 1000 t
  66. 31 Syrian Arab Republic 0 1000 t compare
  67. 31 Slovakia 0 1000 t compare
  68. 31 Uruguay 0 1000 t compare
  69. 31 Saudi Arabia 0 1000 t compare
  70. 31 Slovenia 0 1000 t compare
  71. 31 Oman 0 1000 t compare
  72. 31 El Salvador 0 1000 t
  73. 31 Serbia 0 1000 t
  74. 31 Malaysia 0 1000 t compare
  75. 31 Malawi 0 1000 t compare
  76. 31 Poland 0 1000 t compare
  77. 31 Dominican Republic 0 1000 t
  78. 31 Burkina Faso 0 1000 t
  79. 31 Lebanon 0 1000 t
  80. 31 Niger 0 1000 t
  81. 31 Jamaica 0 1000 t
  82. 31 Haiti 0 1000 t compare
  83. 31 Denmark 0 1000 t compare
  84. 31 Panama 0 1000 t compare
  85. 31 Austria 0 1000 t compare
  86. 31 Nicaragua 0 1000 t
  87. 31 Italy 0 1000 t compare
  88. 31 Madagascar 0 1000 t compare
  89. 31 Bolivia (Plurinational State of) 0 1000 t
  90. 31 Zambia 0 1000 t compare
  91. 31 Portugal 0 1000 t compare
  92. 31 Cambodia 0 1000 t
  93. 31 Polynesia 0 1000 t
  94. 31 Cyprus 0 1000 t compare
  95. 31 Morocco 0 1000 t compare
  96. 31 Namibia 0 1000 t
  97. 31 Sweden 0 1000 t compare
  98. 31 Ghana 0 1000 t
  99. 31 Costa Rica 0 1000 t
  100. 31 Zimbabwe 0 1000 t
  101. 31 Botswana 0 1000 t
  102. 31 Ecuador 0 1000 t compare
  103. 31 Bangladesh 0 1000 t compare
  104. 31 Honduras 0 1000 t
  105. 31 China, Taiwan Province of 0 1000 t compare
  106. 31 Republic of Korea 0 1000 t compare
  107. 31 Côte d'Ivoire 0 1000 t compare
  108. 31 Philippines 0 1000 t compare
  109. 31 Senegal 0 1000 t compare
  110. 31 South Africa 0 1000 t compare
  111. 31 Thailand 0 1000 t compare
  112. 31 Peru 0 1000 t compare
  113. 31 India 0 1000 t compare
  114. 31 Brazil 0 1000 t compare
  115. 31 Mexico 0 1000 t compare
  116. 31 Guatemala 0 1000 t
  117. 31 Nigeria 0 1000 t
  118. 31 Sri Lanka 0 1000 t compare
  119. 31 Uganda 0 1000 t
  120. 31 Egypt 0 1000 t compare
  121. 31 Indonesia 0 1000 t compare
  122. 31 Colombia 0 1000 t compare
  123. 31 United Republic of Tanzania 0 1000 t compare
  124. 31 Melanesia 0 1000 t compare
  125. 31 Nepal 0 1000 t compare
  126. 31 Kenya 0 1000 t compare
  127. 31 Caribbean 0 1000 t compare
  128. 31 Nauru 0 1000 t
  129. 31 Syria 0 1000 t compare
  130. 31 Cote d'Ivoire 0 1000 t compare

See the full ranking of 212 places →

More agriculture & rural data for World

All data for World →

Frequently asked questions

What is peas — stock variation in World?
Peas — stock variation in World was -625 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest peas — stock variation recorded in World?
The highest recorded value was 1,898 1000 t in 2017.
What is the lowest peas — stock variation recorded in World?
The lowest recorded value was -1,068 1000 t in 2021.
How does World rank for peas — stock variation?
World ranks 30th out of 30 groups with data for 2023.
Is peas — stock variation rising or falling in World?
Over the last ten years it is down 221.4%. The long-run trend across the full record is volatile.
Where does this World data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Peas — Stock Variation. Statizoid updates them automatically from the source API.

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Peas — Stock Variation in World. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 01 October 2026, from https://agriculture.statizoid.com/stat/peas-stock-variation/world/

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About this data

Indicator
Peas — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
212 places, 2,823 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.