Cereals, other — Stock Variation in Northern America

Northern America: Cereals, other — Stock Variation was -27 1000 t in 2023. ◆ Volatile

Latest (2023)
-27 1000 t
Change on year
down 292.9%
Rank
29th
of 29 groups
All-time high
60 1000 t
in 2014
All-time low
-129 1000 t
in 2019
Years of data
14
2010–2023

Cereals, other — Stock Variation in Northern America, 2010–2023

-150-100-500502010201620232010: -33 1000 t2011: -57 1000 t2012: 16 1000 t2013: -35 1000 t2014: 60 1000 t2015: 8 1000 t2016: 14 1000 t2017: 35 1000 t2018: 19 1000 t2019: -129 1000 t2020: 7 1000 t2021: -29 1000 t2022: 14 1000 t2023: -27 1000 t

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

Analysis

In 2023, cereals, other — stock variation in Northern America stood at -27 1000 t.

Compared with earlier readings it is down 292.9% on the previous year and up 22.9% over ten years.

Over the whole period, cereals, other — stock variation in Northern America peaked at 60 1000 t in 2014 and was at its lowest, -129 1000 t, in 2019.

That places Northern America 29th out of 29 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.

Cereals, other — Stock Variation in Northern America, year by year

Annual values for Cereals, other — Stock Variation in Northern America, 2010 to 2023.
Year 1000 t Change
2010 -33 1000 t
2011 -57 1000 t +72.7%
2012 16 1000 t -128.1%
2013 -35 1000 t -318.8%
2014 60 1000 t -271.4%
2015 8 1000 t -86.7%
2016 14 1000 t +75.0%
2017 35 1000 t +150.0%
2018 19 1000 t -45.7%
2019 -129 1000 t -778.9%
2020 7 1000 t -105.4%
2021 -29 1000 t -514.3%
2022 14 1000 t -148.3%
2023 -27 1000 t -292.9%

Averages by decade

DecadeAverage LowestHighest Years
2010s -10.2 1000 t -129 1000 t 60 1000 t 10
2020s -8.75 1000 t -29 1000 t 14 1000 t 4

Countries ranked near Northern America

  1. 30 Naoero 0 1000 t
  2. 30 Marshall Islands 0 1000 t
  3. 30 Tonga 0 1000 t
  4. 30 Bhutan 0 1000 t compare
  5. 30 Bahrain 0 1000 t
  6. 30 Qatar 0 1000 t compare
  7. 30 Cuba 0 1000 t
  8. 30 Comoros 0 1000 t
  9. 30 Saint Kitts and Nevis 0 1000 t
  10. 30 Solomon Islands 0 1000 t
  11. 30 Liberia 0 1000 t
  12. 30 China, Macao SAR 0 1000 t
  13. 30 Sao Tome and Principe 0 1000 t
  14. 30 Samoa 0 1000 t
  15. 30 Djibouti 0 1000 t
  16. 30 Saint Vincent and the Grenadines 0 1000 t
  17. 30 French Polynesia 0 1000 t
  18. 30 Grenada 0 1000 t
  19. 30 Suriname 0 1000 t
  20. 30 China, Hong Kong SAR 0 1000 t
  21. 30 Barbados 0 1000 t
  22. 30 Bahamas 0 1000 t
  23. 30 Gabon 0 1000 t
  24. 30 Vanuatu 0 1000 t compare
  25. 30 Congo 0 1000 t
  26. 30 Guyana 0 1000 t
  27. 30 Iceland 0 1000 t
  28. 30 Libya 0 1000 t
  29. 30 Saint Lucia 0 1000 t
  30. 30 Mongolia 0 1000 t compare
  31. 30 Kuwait 0 1000 t
  32. 30 Dominican Republic 0 1000 t
  33. 30 Costa Rica 0 1000 t
  34. 30 Guinea-Bissau 0 1000 t compare
  35. 30 Mauritius 0 1000 t
  36. 30 Fiji 0 1000 t
  37. 30 Jordan 0 1000 t
  38. 30 Haiti 0 1000 t compare
  39. 30 Seychelles 0 1000 t
  40. 30 Trinidad and Tobago 0 1000 t compare
  41. 30 Albania 0 1000 t
  42. 30 Panama 0 1000 t
  43. 30 Paraguay 0 1000 t compare
  44. 30 Antigua and Barbuda 0 1000 t
  45. 30 Maldives 0 1000 t
  46. 30 Cambodia 0 1000 t
  47. 30 Jamaica 0 1000 t
  48. 30 Papua New Guinea 0 1000 t compare
  49. 30 Malta 0 1000 t
  50. 30 Armenia 0 1000 t compare
  51. 30 Philippines 0 1000 t compare
  52. 30 Nicaragua 0 1000 t
  53. 30 El Salvador 0 1000 t
  54. 30 Israel 0 1000 t
  55. 30 Iraq 0 1000 t
  56. 30 Lebanon 0 1000 t
  57. 30 United Arab Emirates 0 1000 t compare
  58. 30 Algeria 0 1000 t compare
  59. 30 Gambia 0 1000 t
  60. 30 Norway 0 1000 t
  61. 30 Eswatini 0 1000 t compare
  62. 30 Lesotho 0 1000 t
  63. 30 Chile 0 1000 t compare
  64. 30 Belize 0 1000 t
  65. 30 Estonia 0 1000 t compare
  66. 30 Georgia 0 1000 t compare
  67. 30 Angola 0 1000 t
  68. 30 Croatia 0 1000 t compare
  69. 30 New Caledonia 0 1000 t
  70. 30 Azerbaijan 0 1000 t compare
  71. 30 Ecuador 0 1000 t compare
  72. 30 Bosnia and Herzegovina 0 1000 t compare
  73. 30 Indonesia 0 1000 t compare
  74. 30 Luxembourg 0 1000 t compare
  75. 30 Sierra Leone 0 1000 t
  76. 30 New Zealand 0 1000 t compare
  77. 30 Mauritania 0 1000 t
  78. 30 Montenegro 0 1000 t compare
  79. 30 Burkina Faso 0 1000 t
  80. 30 Kyrgyzstan 0 1000 t compare
  81. 30 North Macedonia 0 1000 t compare
  82. 30 Tajikistan 0 1000 t
  83. 30 Madagascar 0 1000 t
  84. 30 Cameroon 0 1000 t compare
  85. 30 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
  86. 30 Saudi Arabia 0 1000 t compare
  87. 30 Colombia 0 1000 t compare
  88. 30 Greece 0 1000 t compare
  89. 30 Slovenia 0 1000 t compare
  90. 30 Tunisia 0 1000 t compare
  91. 30 Serbia 0 1000 t compare
  92. 30 Honduras 0 1000 t compare
  93. 30 Niger 0 1000 t compare
  94. 30 Guatemala 0 1000 t
  95. 30 India 0 1000 t compare
  96. 30 Slovakia 0 1000 t compare
  97. 30 Hungary 0 1000 t compare
  98. 30 Malawi 0 1000 t
  99. 30 Namibia 0 1000 t
  100. 30 Botswana 0 1000 t compare
  101. 30 Mozambique 0 1000 t compare
  102. 30 Pakistan 0 1000 t compare
  103. 30 Senegal 0 1000 t
  104. 30 Switzerland 0 1000 t compare
  105. 30 Yemen 0 1000 t
  106. 30 Sri Lanka 0 1000 t
  107. 30 Portugal 0 1000 t compare
  108. 30 Rwanda 0 1000 t compare
  109. 30 Ethiopia 0 1000 t compare
  110. 30 Uganda 0 1000 t
  111. 30 Egypt 0 1000 t compare
  112. 30 Zimbabwe 0 1000 t
  113. 30 Zambia 0 1000 t compare
  114. 30 Nepal 0 1000 t compare
  115. 30 Morocco 0 1000 t
  116. 30 South Africa 0 1000 t compare

See the full ranking of 207 places →

More agriculture & rural data for Northern America

All data for Northern America →

Frequently asked questions

What is cereals, other — stock variation in Northern America?
Cereals, other — stock variation in Northern America was -27 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest cereals, other — stock variation recorded in Northern America?
The highest recorded value was 60 1000 t in 2014.
What is the lowest cereals, other — stock variation recorded in Northern America?
The lowest recorded value was -129 1000 t in 2019.
How does Northern America rank for cereals, other — stock variation?
Northern America ranks 29th out of 29 groups with data for 2023.
Is cereals, other — stock variation rising or falling in Northern America?
Over the last ten years it is up 22.9%. The long-run trend across the full record is volatile.
Where does this Northern America data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Cereals, other — Stock Variation. Statizoid updates them automatically from the source API.

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Cereals, other — Stock Variation in Northern America. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 25 August 2026, from https://agriculture.statizoid.com/stat/cereals-other-stock-variation/northern-america/

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About this data

Indicator
Cereals, other — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
207 places, 2,807 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.