Statizoid

Peas — Stock Variation in Americas

Americas: Peas — Stock Variation was -601 1000 t in 2023. ◆ Volatile

Latest (2023)
-601 1000 t
Change on year
down 251.8%
Rank
29th
of 30 groups
All-time high
897 1000 t
in 2012
All-time low
-1,242 1000 t
in 2021
Years of data
14
2010–2023

Peas — Stock Variation in Americas, 2010–2023

-1.0k-50005001.0k2010201620232010: -244 1000 t2011: -809 1000 t2012: 897 1000 t2013: 638 1000 t2014: 81 1000 t2015: 96 1000 t2016: 536 1000 t2017: 267 1000 t2018: -215 1000 t2019: -334 1000 t2020: -159 1000 t2021: -1.2k 1000 t2022: 396 1000 t2023: -601 1000 t

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

Analysis

In 2023, peas — stock variation in Americas stood at -601 1000 t.

Compared with earlier readings it is down 251.8% on the previous year and down 194.2% over ten years.

Over the whole period, peas — stock variation in Americas peaked at 897 1000 t in 2012 and was at its lowest, -1,242 1000 t, in 2021.

That places Americas 29th out of 30 groups with data for 2023, putting it in the bottom quarter.

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

Peas — Stock Variation in Americas, year by year

Year 1000 t Change
2010 -244 1000 t —
2011 -809 1000 t +231.6%
2012 897 1000 t -210.9%
2013 638 1000 t -28.9%
2014 81 1000 t -87.3%
2015 96 1000 t +18.5%
2016 536 1000 t +458.3%
2017 267 1000 t -50.2%
2018 -215 1000 t -180.5%
2019 -334 1000 t +55.3%
2020 -159 1000 t -52.4%
2021 -1,242 1000 t +681.1%
2022 396 1000 t -131.9%
2023 -601 1000 t -251.8%

Averages by decade

DecadeAverage LowestHighest Years
2010s 91.3 1000 t -809 1000 t 897 1000 t 10
2020s -401.5 1000 t -1,242 1000 t 396 1000 t 4

Countries ranked near Americas

  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 Americas

All data for Americas →

Frequently asked questions

What is peas — stock variation in Americas?
Peas — stock variation in Americas was -601 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest peas — stock variation recorded in Americas?
The highest recorded value was 897 1000 t in 2012.
What is the lowest peas — stock variation recorded in Americas?
The lowest recorded value was -1,242 1000 t in 2021.
How does Americas rank for peas — stock variation?
Americas ranks 29th out of 30 groups with data for 2023.
Is peas — stock variation rising or falling in Americas?
Over the last ten years it is down 194.2%. The long-run trend across the full record is volatile.
Where does this Americas 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 Americas. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 01 October 2026, from https://agriculture.statizoid.com/stat/peas-stock-variation/americas/

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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.