Poultry Meat — Residuals in South America

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

Latest (2023)
0 1000 t
Rank
1st
of 29 groups
All-time high
12 1000 t
in 2010
All-time low
0 1000 t
in 2018
Years of data
14
2010–2023

Poultry Meat — Residuals in South America, 2010–2023

02.557.51012.52010201620232010: 12 1000 t2011: 11 1000 t2012: 12 1000 t2013: 12 1000 t2014: 9 1000 t2015: 11 1000 t2016: 10 1000 t2017: 8 1000 t2018: 0 1000 t2019: 0 1000 t2020: 0 1000 t2021: 0 1000 t2022: 0 1000 t2023: 0 1000 t

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

Analysis

South America recorded 0 1000 t for poultry meat — residuals in 2023. That is the lowest value across all 14 years on record.

The figure is down 100.0% over ten years.

Over the whole period, poultry meat — residuals in South America peaked at 12 1000 t in 2010 and was at its lowest, 0 1000 t, in 2018.

That places South America 1st out of 29 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.

Poultry Meat — Residuals in South America, year by year

Annual values for Poultry Meat — Residuals in South America, 2010 to 2023.
Year 1000 t Change
2010 12 1000 t
2011 11 1000 t -8.3%
2012 12 1000 t +9.1%
2013 12 1000 t +0.0%
2014 9 1000 t -25.0%
2015 11 1000 t +22.2%
2016 10 1000 t -9.1%
2017 8 1000 t -20.0%
2018 0 1000 t -100.0%
2019 0 1000 t
2020 0 1000 t
2021 0 1000 t
2022 0 1000 t
2023 0 1000 t

Averages by decade

DecadeAverage LowestHighest Years
2010s 8.5 1000 t 0 1000 t 12 1000 t 10
2020s 0 1000 t 0 1000 t 0 1000 t 4

Countries ranked near South America

  1. 1 Tuvalu 0 1000 t
  2. 1 Naoero 0 1000 t
  3. 1 Tonga 0 1000 t
  4. 1 Marshall Islands 0 1000 t
  5. 1 Bhutan 0 1000 t
  6. 1 Qatar 0 1000 t
  7. 1 Bahrain 0 1000 t
  8. 1 Cuba 0 1000 t
  9. 1 Turkmenistan 0 1000 t
  10. 1 Lesotho 0 1000 t
  11. 1 Kiribati 0 1000 t
  12. 1 Guinea-Bissau 0 1000 t
  13. 1 Comoros 0 1000 t
  14. 1 Djibouti 0 1000 t
  15. 1 Sao Tome and Principe 0 1000 t
  16. 1 Liberia 0 1000 t
  17. 1 Mauritania 0 1000 t
  18. 1 Afghanistan 0 1000 t
  19. 1 Tajikistan 0 1000 t
  20. 1 China, Macao SAR 0 1000 t
  21. 1 Mongolia 0 1000 t
  22. 1 Saint Kitts and Nevis 0 1000 t
  23. 1 Gambia 0 1000 t
  24. 1 Solomon Islands 0 1000 t
  25. 1 Libya 0 1000 t
  26. 1 Albania 0 1000 t
  27. 1 Sierra Leone 0 1000 t
  28. 1 Kuwait 0 1000 t compare
  29. 1 Suriname 0 1000 t compare
  30. 1 Vanuatu 0 1000 t
  31. 1 Montenegro 0 1000 t
  32. 1 Maldives 0 1000 t compare
  33. 1 Armenia 0 1000 t
  34. 1 Uzbekistan 0 1000 t
  35. 1 Saint Vincent and the Grenadines 0 1000 t
  36. 1 Saudi Arabia 0 1000 t compare
  37. 1 Gabon 0 1000 t
  38. 1 Kyrgyzstan 0 1000 t compare
  39. 1 Haiti 0 1000 t
  40. 1 Iceland 0 1000 t
  41. 1 Guinea 0 1000 t
  42. 1 Oman 0 1000 t compare
  43. 1 Eswatini 0 1000 t
  44. 1 Samoa 0 1000 t
  45. 1 Iraq 0 1000 t
  46. 1 Seychelles 0 1000 t
  47. 1 Guyana 0 1000 t compare
  48. 1 Papua New Guinea 0 1000 t
  49. 1 French Polynesia 0 1000 t compare
  50. 1 Estonia 0 1000 t
  51. 1 Angola 0 1000 t
  52. 1 Jordan 0 1000 t
  53. 1 Bosnia and Herzegovina 0 1000 t
  54. 1 North Macedonia 0 1000 t
  55. 1 Grenada 0 1000 t
  56. 1 Azerbaijan 0 1000 t
  57. 1 Congo 0 1000 t
  58. 1 Niger 0 1000 t
  59. 1 Lithuania 0 1000 t compare
  60. 1 Georgia 0 1000 t
  61. 1 Paraguay 0 1000 t
  62. 1 Finland 0 1000 t
  63. 1 Uruguay 0 1000 t
  64. 1 Algeria 0 1000 t compare
  65. 1 Bahamas 0 1000 t
  66. 1 Namibia 0 1000 t
  67. 1 Belarus 0 1000 t compare
  68. 1 Burkina Faso 0 1000 t
  69. 1 New Caledonia 0 1000 t
  70. 1 Saint Lucia 0 1000 t
  71. 1 Luxembourg 0 1000 t
  72. 1 Slovakia 0 1000 t
  73. 1 Chile 0 1000 t
  74. 1 Latvia 0 1000 t
  75. 1 Ireland 0 1000 t compare
  76. 1 Croatia 0 1000 t
  77. 1 Norway 0 1000 t compare
  78. 1 Antigua and Barbuda 0 1000 t
  79. 1 Tunisia 0 1000 t
  80. 1 Serbia 0 1000 t
  81. 1 Argentina 0 1000 t
  82. 1 Barbados 0 1000 t
  83. 1 Myanmar 0 1000 t
  84. 1 Yemen 0 1000 t
  85. 1 Czechia 0 1000 t
  86. 1 Panama 0 1000 t compare
  87. 1 Israel 0 1000 t compare
  88. 1 Nicaragua 0 1000 t
  89. 1 Rwanda 0 1000 t
  90. 1 Switzerland 0 1000 t
  91. 1 Bulgaria 0 1000 t compare
  92. 1 Belgium 0 1000 t compare
  93. 1 Denmark 0 1000 t
  94. 1 El Salvador 0 1000 t
  95. 1 Dominican Republic 0 1000 t
  96. 1 Poland 0 1000 t compare
  97. 1 Belize 0 1000 t compare
  98. 1 Mauritius 0 1000 t
  99. 1 Romania 0 1000 t
  100. 1 Malawi 0 1000 t
  101. 1 Zambia 0 1000 t
  102. 1 Mozambique 0 1000 t
  103. 1 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
  104. 1 Portugal 0 1000 t compare
  105. 1 Lebanon 0 1000 t
  106. 1 Madagascar 0 1000 t
  107. 1 Jamaica 0 1000 t compare
  108. 1 New Zealand 0 1000 t
  109. 1 Canada 0 1000 t compare
  110. 1 Austria 0 1000 t compare
  111. 1 China, Hong Kong SAR 0 1000 t compare
  112. 1 Sweden 0 1000 t compare
  113. 1 France 0 1000 t
  114. 1 Trinidad and Tobago 0 1000 t
  115. 1 Ghana 0 1000 t
  116. 1 Malta 0 1000 t
  117. 1 Senegal 0 1000 t
  118. 1 Ecuador 0 1000 t
  119. 1 Kazakhstan 0 1000 t compare
  120. 1 Morocco 0 1000 t
  121. 1 China, Taiwan Province of 0 1000 t
  122. 1 Botswana 0 1000 t
  123. 1 Fiji 0 1000 t
  124. 1 Australia 0 1000 t
  125. 1 Hungary 0 1000 t compare
  126. 1 Zimbabwe 0 1000 t
  127. 1 Ethiopia 0 1000 t
  128. 1 Bangladesh 0 1000 t
  129. 1 Greece 0 1000 t compare
  130. 1 Germany 0 1000 t compare
  131. 1 Cameroon 0 1000 t
  132. 1 Cambodia 0 1000 t
  133. 1 Nigeria 0 1000 t
  134. 1 Pakistan 0 1000 t compare
  135. 1 South Africa 0 1000 t compare
  136. 1 Italy 0 1000 t compare
  137. 1 Republic of Korea 0 1000 t
  138. 1 Cyprus 0 1000 t
  139. 1 Philippines 0 1000 t compare
  140. 1 Uganda 0 1000 t
  141. 1 Sri Lanka 0 1000 t
  142. 1 Honduras 0 1000 t
  143. 1 Costa Rica 0 1000 t
  144. 1 Peru 0 1000 t
  145. 1 Spain 0 1000 t compare
  146. 1 India 0 1000 t compare
  147. 1 Brazil 0 1000 t
  148. 1 Mexico 0 1000 t
  149. 1 Colombia 0 1000 t
  150. 1 Egypt 0 1000 t compare
  151. 1 Australia and New Zealand 0 1000 t
  152. 1 Guatemala 0 1000 t compare
  153. 1 Indonesia 0 1000 t
  154. 1 Nepal 0 1000 t
  155. 1 Kenya 0 1000 t

See the full ranking of 213 places →

More agriculture & rural data for South America

All data for South America →

Frequently asked questions

What is poultry meat — residuals in South America?
Poultry meat — residuals in South America was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest poultry meat — residuals recorded in South America?
The highest recorded value was 12 1000 t in 2010.
What is the lowest poultry meat — residuals recorded in South America?
The lowest recorded value was 0 1000 t in 2018.
How does South America rank for poultry meat — residuals?
South America ranks 1st out of 29 groups with data for 2023.
Is poultry meat — residuals rising or falling in South America?
Over the last ten years it is down 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 Poultry Meat — Residuals. Statizoid updates them automatically from the source API.

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Poultry Meat — Residuals in South America. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 22 August 2026, from https://agriculture.statizoid.com/stat/poultry-meat-residuals/south-america/

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About this data

Indicator
Poultry Meat — Residuals
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
213 places, 2,901 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.