Millet and products — Stock Variation in South America

South America: Millet and products — Stock Variation was 4 1000 t in 2023. ◆ Volatile

Latest (2023)
4 1000 t
Change on year
up 100.0%
Rank
11th
of 28 groups
All-time high
4 1000 t
in 2023
All-time low
-8 1000 t
in 2011
Years of data
14
2010–2023

Millet and products — Stock Variation in South America, 2010–2023

-7.5-5-2.502.552010201620232010: 0 1000 t2011: -8 1000 t2012: 0 1000 t2013: 0 1000 t2014: 0 1000 t2015: 1 1000 t2016: -1 1000 t2017: 0 1000 t2018: 0 1000 t2019: 0 1000 t2020: 0 1000 t2021: 0 1000 t2022: 2 1000 t2023: 4 1000 t

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

Analysis

The most recent figure for millet and products — stock variation in South America is 4 1000 t, measured in 2023. That is the highest value across all 14 years on record.

The figure is up 100.0% on the previous year.

Over the whole period, millet and products — stock variation in South America peaked at 4 1000 t in 2023 and was at its lowest, -8 1000 t, in 2011.

That places South America 11th out of 28 groups with data for 2023, putting it in the middle of the range.

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

Millet and products — Stock Variation in South America, year by year

Annual values for Millet and products — Stock Variation in South America, 2010 to 2023.
Year 1000 t Change
2010 0 1000 t
2011 -8 1000 t
2012 0 1000 t -100.0%
2013 0 1000 t
2014 0 1000 t
2015 1 1000 t
2016 -1 1000 t -200.0%
2017 0 1000 t -100.0%
2018 0 1000 t
2019 0 1000 t
2020 0 1000 t
2021 0 1000 t
2022 2 1000 t
2023 4 1000 t +100.0%

Averages by decade

DecadeAverage LowestHighest Years
2010s -0.8 1000 t -8 1000 t 1 1000 t 10
2020s 1.5 1000 t 0 1000 t 4 1000 t 4

Countries ranked near South America

  1. 11 Bahrain 0 1000 t
  2. 11 Bhutan 0 1000 t
  3. 11 Qatar 0 1000 t compare
  4. 11 Cuba 0 1000 t
  5. 11 China, Macao SAR 0 1000 t
  6. 11 Guinea-Bissau 0 1000 t
  7. 11 Afghanistan 0 1000 t
  8. 11 Samoa 0 1000 t
  9. 11 Vanuatu 0 1000 t
  10. 11 Gambia 0 1000 t compare
  11. 11 Papua New Guinea 0 1000 t
  12. 11 Gabon 0 1000 t
  13. 11 Antigua and Barbuda 0 1000 t
  14. 11 China, Hong Kong SAR 0 1000 t
  15. 11 French Polynesia 0 1000 t
  16. 11 Angola 0 1000 t
  17. 11 Kuwait 0 1000 t
  18. 11 Barbados 0 1000 t
  19. 11 Paraguay 0 1000 t
  20. 11 Burkina Faso 0 1000 t compare
  21. 11 Maldives 0 1000 t
  22. 11 Libya 0 1000 t
  23. 11 Bahamas 0 1000 t
  24. 11 Sierra Leone 0 1000 t compare
  25. 11 Nicaragua 0 1000 t
  26. 11 Jordan 0 1000 t compare
  27. 11 Mongolia 0 1000 t
  28. 11 Belize 0 1000 t
  29. 11 Suriname 0 1000 t
  30. 11 Costa Rica 0 1000 t
  31. 11 Mauritania 0 1000 t
  32. 11 El Salvador 0 1000 t
  33. 11 Fiji 0 1000 t
  34. 11 Iceland 0 1000 t
  35. 11 Cambodia 0 1000 t
  36. 11 Cameroon 0 1000 t
  37. 11 Malaysia 0 1000 t
  38. 11 Guyana 0 1000 t
  39. 11 Algeria 0 1000 t
  40. 11 Saint Lucia 0 1000 t
  41. 11 Jamaica 0 1000 t
  42. 11 Panama 0 1000 t
  43. 11 China, Taiwan Province of 0 1000 t
  44. 11 Eswatini 0 1000 t
  45. 11 Saudi Arabia 0 1000 t compare
  46. 11 Turkmenistan 0 1000 t
  47. 11 Madagascar 0 1000 t
  48. 11 Ghana 0 1000 t
  49. 11 Botswana 0 1000 t
  50. 11 Mauritius 0 1000 t
  51. 11 Honduras 0 1000 t
  52. 11 Malawi 0 1000 t compare
  53. 11 Iraq 0 1000 t compare
  54. 11 Trinidad and Tobago 0 1000 t
  55. 11 Tunisia 0 1000 t compare
  56. 11 Namibia 0 1000 t compare
  57. 11 Armenia 0 1000 t
  58. 11 Philippines 0 1000 t
  59. 11 New Caledonia 0 1000 t
  60. 11 Pakistan 0 1000 t
  61. 11 Albania 0 1000 t
  62. 11 Lebanon 0 1000 t
  63. 11 Oman 0 1000 t
  64. 11 Nigeria 0 1000 t compare
  65. 11 Finland 0 1000 t
  66. 11 Israel 0 1000 t
  67. 11 Mozambique 0 1000 t compare
  68. 11 Yemen 0 1000 t
  69. 11 Indonesia 0 1000 t compare
  70. 11 Malta 0 1000 t
  71. 11 Rwanda 0 1000 t
  72. 11 Bosnia and Herzegovina 0 1000 t
  73. 11 Sri Lanka 0 1000 t compare
  74. 11 United Arab Emirates 0 1000 t
  75. 11 Belarus 0 1000 t
  76. 11 Colombia 0 1000 t
  77. 11 Georgia 0 1000 t
  78. 11 Guatemala 0 1000 t
  79. 11 Croatia 0 1000 t
  80. 11 Montenegro 0 1000 t
  81. 11 Cyprus 0 1000 t
  82. 11 Canada 0 1000 t
  83. 11 Uganda 0 1000 t
  84. 11 Austria 0 1000 t compare
  85. 11 Ireland 0 1000 t
  86. 11 Denmark 0 1000 t compare
  87. 11 Brazil 0 1000 t
  88. 11 Belgium 0 1000 t
  89. 11 Azerbaijan 0 1000 t
  90. 11 Norway 0 1000 t
  91. 11 Republic of Korea 0 1000 t compare
  92. 11 Thailand 0 1000 t
  93. 11 Australia 0 1000 t
  94. 11 Latvia 0 1000 t
  95. 11 Chile 0 1000 t
  96. 11 Ecuador 0 1000 t
  97. 11 Estonia 0 1000 t
  98. 11 Tajikistan 0 1000 t
  99. 11 Czechia 0 1000 t
  100. 11 Zambia 0 1000 t
  101. 11 Bulgaria 0 1000 t compare
  102. 11 Kyrgyzstan 0 1000 t
  103. 11 Uruguay 0 1000 t
  104. 11 North Macedonia 0 1000 t
  105. 11 Luxembourg 0 1000 t
  106. 11 New Zealand 0 1000 t
  107. 11 Lithuania 0 1000 t
  108. 11 France 0 1000 t compare
  109. 11 Sweden 0 1000 t
  110. 11 Egypt 0 1000 t compare
  111. 11 Morocco 0 1000 t compare
  112. 11 Nepal 0 1000 t compare
  113. 11 Greece 0 1000 t
  114. 11 Serbia 0 1000 t
  115. 11 Peru 0 1000 t
  116. 11 Mexico 0 1000 t
  117. 11 Slovenia 0 1000 t
  118. 11 Netherlands (Kingdom of the) 0 1000 t
  119. 11 Slovakia 0 1000 t
  120. 11 Italy 0 1000 t
  121. 11 Switzerland 0 1000 t
  122. 11 Hungary 0 1000 t compare
  123. 11 United Kingdom of Great Britain and Northern Ireland 0 1000 t
  124. 11 Kazakhstan 0 1000 t compare
  125. 11 Portugal 0 1000 t compare
  126. 11 South Africa 0 1000 t compare
  127. 11 Russian Federation 0 1000 t compare
  128. 11 Romania 0 1000 t compare
  129. 11 Ukraine 0 1000 t
  130. 11 Spain 0 1000 t compare
  131. 11 Australia and New Zealand 0 1000 t

See the full ranking of 191 places →

More agriculture & rural data for South America

All data for South America →

Frequently asked questions

What is millet and products — stock variation in South America?
Millet and products — stock variation in South America was 4 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest millet and products — stock variation recorded in South America?
The highest recorded value was 4 1000 t in 2023.
What is the lowest millet and products — stock variation recorded in South America?
The lowest recorded value was -8 1000 t in 2011.
How does South America rank for millet and products — stock variation?
South America ranks 11th out of 28 groups with data for 2023.
Where does this South America data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Millet and products — Stock Variation. Statizoid updates them automatically from the source API.

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Millet and products — Stock Variation in South America. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 28 August 2026, from https://agriculture.statizoid.com/stat/millet-and-products-stock-variation/south-america/

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About this data

Indicator
Millet and products — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
191 places, 2,366 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.