Cottonseed — Residuals in South America

South America: Cottonseed — Residuals was 0 1000 t in 2023. ◆ Volatile

Latest (2023)
0 1000 t
Rank
1st
of 28 groups
All-time high
25 1000 t
in 2015
All-time low
-51 1000 t
in 2013
Years of data
14
2010–2023

Cottonseed — Residuals in South America, 2010–2023

-60-40-200202010201620232010: -32 1000 t2011: -1 1000 t2012: 24 1000 t2013: -51 1000 t2014: -4 1000 t2015: 25 1000 t2016: 0 1000 t2017: 0 1000 t2018: 0 1000 t2019: 0 1000 t2020: -21 1000 t2021: -1 1000 t2022: 0 1000 t2023: 0 1000 t

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

Analysis

The most recent figure for cottonseed — residuals in South America is 0 1000 t, measured in 2023.

Compared with earlier readings it is up 100.0% over ten years.

Over the whole period, cottonseed — residuals in South America peaked at 25 1000 t in 2015 and was at its lowest, -51 1000 t, in 2013.

That places South America 1st out of 28 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.

Cottonseed — Residuals in South America, year by year

Annual values for Cottonseed — Residuals in South America, 2010 to 2023.
Year 1000 t Change
2010 -32 1000 t
2011 -1 1000 t -96.9%
2012 24 1000 t -2500.0%
2013 -51 1000 t -312.5%
2014 -4 1000 t -92.2%
2015 25 1000 t -725.0%
2016 0 1000 t -100.0%
2017 0 1000 t
2018 0 1000 t
2019 0 1000 t
2020 -21 1000 t
2021 -1 1000 t -95.2%
2022 0 1000 t -100.0%
2023 0 1000 t

Averages by decade

DecadeAverage LowestHighest Years
2010s -3.9 1000 t -51 1000 t 25 1000 t 10
2020s -5.5 1000 t -21 1000 t 0 1000 t 4

Countries ranked near South America

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

See the full ranking of 186 places →

More agriculture & rural data for South America

All data for South America →

Frequently asked questions

What is cottonseed — residuals in South America?
Cottonseed — residuals in South America was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest cottonseed — residuals recorded in South America?
The highest recorded value was 25 1000 t in 2015.
What is the lowest cottonseed — residuals recorded in South America?
The lowest recorded value was -51 1000 t in 2013.
How does South America rank for cottonseed — residuals?
South America ranks 1st out of 28 groups with data for 2023.
Is cottonseed — residuals rising or falling in South America?
Over the last ten years it is up 100.0%. The long-run trend across the full record is volatile.
Where does this South America data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Cottonseed — Residuals. Statizoid updates them automatically from the source API.

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Cottonseed — Residuals in South America. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 23 August 2026, from https://agriculture.statizoid.com/stat/cottonseed-residuals/south-america/

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About this data

Indicator
Cottonseed — Residuals
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
186 places, 2,475 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.