Statizoid

Poultry Meat — Stock Variation in Brazil

Brazil: Poultry Meat — Stock Variation was 0 1000 t in 2023. ◆ Volatile

Latest (2023)
0 1000 t
Change on year
down 100.0%
World rank
39th
of 182 countries
All-time high
74 1000 t
in 2018
All-time low
-38 1000 t
in 2014
Years of data
14
2010–2023

Poultry Meat — Stock Variation in Brazil, 2010–2023

-50-2502550752010201620232010: -4 1000 t2011: 1 1000 t2012: -5 1000 t2013: 4 1000 t2014: -38 1000 t2015: -34 1000 t2016: 10 1000 t2017: 46 1000 t2018: 74 1000 t2019: 47 1000 t2020: 0 1000 t2021: 0 1000 t2022: 3 1000 t2023: 0 1000 t

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

Analysis

Brazil recorded 0 1000 t for poultry meat — stock variation in 2023.

That represents a change of down 100.0% on the previous year and down 100.0% over ten years.

Over the whole period, poultry meat — stock variation in Brazil peaked at 74 1000 t in 2018 and was at its lowest, -38 1000 t, in 2014.

Brazil ranks 39th of 182 countries on this measure, in the top quarter.

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

Averages by decade

DecadeAverage LowestHighest Years
2010s 10.1 1000 t -38 1000 t 74 1000 t 10
2020s 0.75 1000 t 0 1000 t 3 1000 t 4

Countries ranked near Brazil

  1. 39 Micronesia (Federated States of) 0 1000 t compare
  2. 39 Tuvalu 0 1000 t compare
  3. 39 Nauru 0 1000 t compare
  4. 39 Tonga 0 1000 t compare
  5. 39 Marshall Islands 0 1000 t compare
  6. 39 Bhutan 0 1000 t compare
  7. 39 Bahrain 0 1000 t compare
  8. 39 Cuba 0 1000 t compare
  9. 39 Turkmenistan 0 1000 t compare
  10. 39 Timor-Leste 0 1000 t compare
  11. 39 Lesotho 0 1000 t compare
  12. 39 Kiribati 0 1000 t compare
  13. 39 Guinea-Bissau 0 1000 t compare
  14. 39 Comoros 0 1000 t compare
  15. 39 Djibouti 0 1000 t compare
  16. 39 Sao Tome and Principe 0 1000 t compare
  17. 39 Liberia 0 1000 t compare
  18. 39 Mauritania 0 1000 t compare
  19. 39 Micronesia 0 1000 t compare
  20. 39 Tajikistan 0 1000 t compare
  21. 39 Mongolia 0 1000 t compare
  22. 39 Saint Kitts and Nevis 0 1000 t compare
  23. 39 Gambia 0 1000 t compare
  24. 39 Solomon Islands 0 1000 t compare
  25. 39 Libya 0 1000 t compare
  26. 39 Albania 0 1000 t compare
  27. 39 Sierra Leone 0 1000 t compare
  28. 39 Kuwait 0 1000 t compare
  29. 39 Suriname 0 1000 t compare
  30. 39 Vanuatu 0 1000 t compare
  31. 39 Montenegro 0 1000 t compare
  32. 39 Lao People's Democratic Republic 0 1000 t compare
  33. 39 Maldives 0 1000 t compare
  34. 39 Cabo Verde 0 1000 t compare
  35. 39 Armenia 0 1000 t compare
  36. 39 Uzbekistan 0 1000 t compare
  37. 39 Saint Vincent and the Grenadines 0 1000 t compare
  38. 39 Gabon 0 1000 t compare
  39. 39 Saudi Arabia 0 1000 t compare
  40. 39 Haiti 0 1000 t compare
  41. 39 Iceland 0 1000 t compare
  42. 39 Guinea 0 1000 t compare
  43. 39 Oman 0 1000 t compare
  44. 39 Eswatini 0 1000 t compare
  45. 39 Iraq 0 1000 t compare
  46. 39 Seychelles 0 1000 t compare
  47. 39 Guyana 0 1000 t compare
  48. 39 Papua New Guinea 0 1000 t compare
  49. 39 Angola 0 1000 t compare
  50. 39 Republic of Moldova 0 1000 t compare
  51. 39 Jordan 0 1000 t compare
  52. 39 Bosnia and Herzegovina 0 1000 t compare
  53. 39 Grenada 0 1000 t compare
  54. 39 North Macedonia 0 1000 t compare
  55. 39 Congo 0 1000 t compare
  56. 39 Niger 0 1000 t compare
  57. 39 Georgia 0 1000 t compare
  58. 39 Paraguay 0 1000 t compare
  59. 39 Uruguay 0 1000 t compare
  60. 39 Bahamas 0 1000 t compare
  61. 39 Belarus 0 1000 t compare
  62. 39 Namibia 0 1000 t compare
  63. 39 New Caledonia 0 1000 t compare
  64. 39 Burkina Faso 0 1000 t compare
  65. 39 Saint Lucia 0 1000 t compare
  66. 39 Luxembourg 0 1000 t compare
  67. 39 Viet Nam 0 1000 t compare
  68. 39 Chile 0 1000 t compare
  69. 39 Ukraine 0 1000 t compare
  70. 39 Ireland 0 1000 t compare
  71. 39 Antigua and Barbuda 0 1000 t compare
  72. 39 Tunisia 0 1000 t compare
  73. 39 Serbia 0 1000 t compare
  74. 39 Barbados 0 1000 t compare
  75. 39 Myanmar 0 1000 t compare
  76. 39 Yemen 0 1000 t compare
  77. 39 Panama 0 1000 t compare
  78. 39 Israel 0 1000 t compare
  79. 39 Nicaragua 0 1000 t compare
  80. 39 Bulgaria 0 1000 t compare
  81. 39 Switzerland 0 1000 t compare
  82. 39 Iran (Islamic Republic of) 0 1000 t compare
  83. 39 Denmark 0 1000 t compare
  84. 39 El Salvador 0 1000 t compare
  85. 39 Mauritius 0 1000 t compare
  86. 39 Dominican Republic 0 1000 t compare
  87. 39 Belize 0 1000 t compare
  88. 39 Malawi 0 1000 t compare
  89. 39 Zambia 0 1000 t compare
  90. 39 Mozambique 0 1000 t compare
  91. 39 Russian Federation 0 1000 t compare
  92. 39 Democratic Republic of the Congo 0 1000 t compare
  93. 39 Lebanon 0 1000 t compare
  94. 39 Madagascar 0 1000 t compare
  95. 39 Syrian Arab Republic 0 1000 t compare
  96. 39 Trinidad and Tobago 0 1000 t compare
  97. 39 Malta 0 1000 t compare
  98. 39 Ghana 0 1000 t compare
  99. 39 Senegal 0 1000 t compare
  100. 39 Venezuela (Bolivarian Republic of) 0 1000 t compare
  101. 39 Bolivia (Plurinational State of) 0 1000 t compare
  102. 39 Malaysia 0 1000 t compare
  103. 39 Ecuador 0 1000 t compare
  104. 39 Kazakhstan 0 1000 t compare
  105. 39 Morocco 0 1000 t compare
  106. 39 Fiji 0 1000 t compare
  107. 39 Botswana 0 1000 t compare
  108. 39 Zimbabwe 0 1000 t compare
  109. 39 Ethiopia 0 1000 t compare
  110. 39 Bangladesh 0 1000 t compare
  111. 39 Greece 0 1000 t compare
  112. 39 Côte d'Ivoire 0 1000 t compare
  113. 39 Cameroon 0 1000 t compare
  114. 39 Pakistan 0 1000 t compare
  115. 39 Nigeria 0 1000 t compare
  116. 39 Republic of Korea 0 1000 t compare
  117. 39 Cyprus 0 1000 t compare
  118. 39 Uganda 0 1000 t compare
  119. 39 Sri Lanka 0 1000 t compare
  120. 39 Honduras 0 1000 t compare
  121. 39 Costa Rica 0 1000 t compare
  122. 39 Peru 0 1000 t compare
  123. 39 Spain 0 1000 t compare
  124. 39 India 0 1000 t compare
  125. 39 Thailand 0 1000 t compare
  126. 39 United Republic of Tanzania 0 1000 t compare
  127. 39 Mexico 0 1000 t compare
  128. 39 Colombia 0 1000 t compare
  129. 39 Egypt 0 1000 t compare
  130. 39 Guatemala 0 1000 t compare
  131. 39 Nepal 0 1000 t compare
  132. 39 Kenya 0 1000 t compare
  133. 39 Melanesia 0 1000 t compare

See the full ranking of 213 places →

More agriculture & rural data for Brazil

All data for Brazil →

Frequently asked questions

What is poultry meat — stock variation in Brazil?
Poultry meat — stock variation in Brazil was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest poultry meat — stock variation recorded in Brazil?
The highest recorded value was 74 1000 t in 2018.
What is the lowest poultry meat — stock variation recorded in Brazil?
The lowest recorded value was -38 1000 t in 2014.
How does Brazil rank for poultry meat — stock variation?
Brazil ranks 39th out of 182 countries with data for 2023.
Is poultry meat — stock variation rising or falling in Brazil?
Over the last ten years it is down 100.0%. The long-run trend across the full record is volatile.
Where does this Brazil data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Poultry Meat — Stock Variation. Statizoid updates them automatically from the source API.

Download this data

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About this data

Indicator
Poultry Meat — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
213 places, 2,853 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.