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Meat — Residuals in Brazil

Brazil: Meat — Residuals was 0 1000 t in 2023. ◆ Volatile

Latest (2023)
0 1000 t
Change on year
up 100.0%
World rank
2nd
of 182 countries
All-time high
0 1000 t
in 2012
All-time low
-2 1000 t
in 2010
Years of data
14
2010–2023

Meat — Residuals in Brazil, 2010–2023

-2-1.5-1-0.502010201620232010: -2 1000 t2011: -1 1000 t2012: 0 1000 t2013: 0 1000 t2014: 0 1000 t2015: 0 1000 t2016: 0 1000 t2017: 0 1000 t2018: 0 1000 t2019: 0 1000 t2020: 0 1000 t2021: 0 1000 t2022: -2 1000 t2023: 0 1000 t

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

Analysis

In 2023, meat — residuals in Brazil stood at 0 1000 t. That is the highest value across all 14 years on record.

Compared with earlier readings it is up 100.0% on the previous year.

Over the whole period, meat — residuals in Brazil peaked at 0 1000 t in 2012 and was at its lowest, -2 1000 t, in 2010.

Brazil ranks 2nd of 182 countries on this measure, in the top 10%.

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

Averages by decade

DecadeAverage LowestHighest Years
2010s -0.3 1000 t -2 1000 t 0 1000 t 10
2020s -0.5 1000 t -2 1000 t 0 1000 t 4

Countries ranked near Brazil

  1. 1 Guatemala 16 1000 t compare
  2. 2 Micronesia (Federated States of) 0 1000 t compare
  3. 2 Tuvalu 0 1000 t compare
  4. 2 Nauru 0 1000 t compare
  5. 2 Tonga 0 1000 t compare
  6. 2 Marshall Islands 0 1000 t compare
  7. 2 Bhutan 0 1000 t compare
  8. 2 Qatar 0 1000 t compare
  9. 2 Bahrain 0 1000 t compare
  10. 2 Democratic People's Republic of Korea 0 1000 t compare
  11. 2 Cuba 0 1000 t compare
  12. 2 Turkmenistan 0 1000 t compare
  13. 2 Timor-Leste 0 1000 t compare
  14. 2 Lesotho 0 1000 t compare
  15. 2 Kiribati 0 1000 t compare
  16. 2 Guinea-Bissau 0 1000 t compare
  17. 2 Comoros 0 1000 t compare
  18. 2 Djibouti 0 1000 t compare
  19. 2 Sao Tome and Principe 0 1000 t compare
  20. 2 Liberia 0 1000 t compare
  21. 2 Mauritania 0 1000 t compare
  22. 2 Micronesia 0 1000 t compare
  23. 2 Tajikistan 0 1000 t compare
  24. 2 Afghanistan 0 1000 t compare
  25. 2 China, Macao SAR 0 1000 t compare
  26. 2 Mongolia 0 1000 t compare
  27. 2 Saint Kitts and Nevis 0 1000 t compare
  28. 2 Gambia 0 1000 t compare
  29. 2 Solomon Islands 0 1000 t compare
  30. 2 Albania 0 1000 t compare
  31. 2 Libya 0 1000 t compare
  32. 2 Sierra Leone 0 1000 t compare
  33. 2 Suriname 0 1000 t compare
  34. 2 Kuwait 0 1000 t compare
  35. 2 Vanuatu 0 1000 t compare
  36. 2 Montenegro 0 1000 t compare
  37. 2 Lao People's Democratic Republic 0 1000 t compare
  38. 2 Armenia 0 1000 t compare
  39. 2 Maldives 0 1000 t compare
  40. 2 Cabo Verde 0 1000 t compare
  41. 2 Saint Vincent and the Grenadines 0 1000 t compare
  42. 2 Uzbekistan 0 1000 t compare
  43. 2 Kyrgyzstan 0 1000 t compare
  44. 2 Gabon 0 1000 t compare
  45. 2 Iceland 0 1000 t compare
  46. 2 Haiti 0 1000 t compare
  47. 2 Samoa 0 1000 t compare
  48. 2 Oman 0 1000 t compare
  49. 2 Guinea 0 1000 t compare
  50. 2 Eswatini 0 1000 t compare
  51. 2 Seychelles 0 1000 t compare
  52. 2 Estonia 0 1000 t compare
  53. 2 French Polynesia 0 1000 t compare
  54. 2 Iraq 0 1000 t compare
  55. 2 Guyana 0 1000 t compare
  56. 2 Republic of Moldova 0 1000 t compare
  57. 2 Papua New Guinea 0 1000 t compare
  58. 2 Angola 0 1000 t compare
  59. 2 Bosnia and Herzegovina 0 1000 t compare
  60. 2 Jordan 0 1000 t compare
  61. 2 Grenada 0 1000 t compare
  62. 2 Georgia 0 1000 t compare
  63. 2 Azerbaijan 0 1000 t compare
  64. 2 Congo 0 1000 t compare
  65. 2 Niger 0 1000 t compare
  66. 2 Finland 0 1000 t compare
  67. 2 Belarus 0 1000 t compare
  68. 2 Bahamas 0 1000 t compare
  69. 2 Saint Lucia 0 1000 t compare
  70. 2 New Caledonia 0 1000 t compare
  71. 2 Namibia 0 1000 t compare
  72. 2 Algeria 0 1000 t compare
  73. 2 Luxembourg 0 1000 t compare
  74. 2 Burkina Faso 0 1000 t compare
  75. 2 Slovakia 0 1000 t compare
  76. 2 Latvia 0 1000 t compare
  77. 2 Chile 0 1000 t compare
  78. 2 Antigua and Barbuda 0 1000 t compare
  79. 2 Barbados 0 1000 t compare
  80. 2 Croatia 0 1000 t compare
  81. 2 Serbia 0 1000 t compare
  82. 2 Tunisia 0 1000 t compare
  83. 2 Argentina 0 1000 t compare
  84. 2 Panama 0 1000 t compare
  85. 2 Yemen 0 1000 t compare
  86. 2 Nicaragua 0 1000 t compare
  87. 2 Israel 0 1000 t compare
  88. 2 Rwanda 0 1000 t compare
  89. 2 Switzerland 0 1000 t compare
  90. 2 Dominican Republic 0 1000 t compare
  91. 2 Mauritius 0 1000 t compare
  92. 2 Belize 0 1000 t compare
  93. 2 El Salvador 0 1000 t compare
  94. 2 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
  95. 2 Portugal 0 1000 t compare
  96. 2 Mozambique 0 1000 t compare
  97. 2 Malawi 0 1000 t compare
  98. 2 Jamaica 0 1000 t compare
  99. 2 Lebanon 0 1000 t compare
  100. 2 Democratic Republic of the Congo 0 1000 t compare
  101. 2 Canada 0 1000 t compare
  102. 2 Madagascar 0 1000 t compare
  103. 2 Austria 0 1000 t compare
  104. 2 Syrian Arab Republic 0 1000 t compare
  105. 2 Malta 0 1000 t compare
  106. 2 Trinidad and Tobago 0 1000 t compare
  107. 2 Ghana 0 1000 t compare
  108. 2 Venezuela (Bolivarian Republic of) 0 1000 t compare
  109. 2 Senegal 0 1000 t compare
  110. 2 Bolivia (Plurinational State of) 0 1000 t compare
  111. 2 Kazakhstan 0 1000 t compare
  112. 2 Ecuador 0 1000 t compare
  113. 2 China, Taiwan Province of 0 1000 t compare
  114. 2 Fiji 0 1000 t compare
  115. 2 Botswana 0 1000 t compare
  116. 2 Ethiopia 0 1000 t compare
  117. 2 Greece 0 1000 t compare
  118. 2 Zimbabwe 0 1000 t compare
  119. 2 Polynesia 0 1000 t compare
  120. 2 Côte d'Ivoire 0 1000 t compare
  121. 2 Cameroon 0 1000 t compare
  122. 2 Cambodia 0 1000 t compare
  123. 2 Cyprus 0 1000 t compare
  124. 2 Nigeria 0 1000 t compare
  125. 2 Republic of Korea 0 1000 t compare
  126. 2 Philippines 0 1000 t compare
  127. 2 Uganda 0 1000 t compare
  128. 2 Sri Lanka 0 1000 t compare
  129. 2 Honduras 0 1000 t compare
  130. 2 Costa Rica 0 1000 t compare
  131. 2 Peru 0 1000 t compare
  132. 2 United Republic of Tanzania 0 1000 t compare
  133. 2 Mexico 0 1000 t compare
  134. 2 Egypt 0 1000 t compare
  135. 2 Colombia 0 1000 t compare
  136. 2 Nepal 0 1000 t compare
  137. 2 Kenya 0 1000 t compare
  138. 2 Melanesia 0 1000 t compare
  139. 2 Caribbean 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 meat — residuals in Brazil?
Meat — residuals in Brazil was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest meat — residuals recorded in Brazil?
The highest recorded value was 0 1000 t in 2012.
What is the lowest meat — residuals recorded in Brazil?
The lowest recorded value was -2 1000 t in 2010.
How does Brazil rank for meat — residuals?
Brazil ranks 2nd out of 182 countries with data for 2023.
Where does this Brazil data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Meat — Residuals. Statizoid updates them automatically from the source API.

Download this data

CSV · JSON — 14 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).

About this data

Indicator
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.