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Meat — Residuals in United Republic of Tanzania

United Republic of Tanzania: Meat — Residuals was 0 1000 t in 2023. ◆ Volatile

Latest (2023)
0 1000 t
World rank
1st
of 20 countries
All-time high
0 1000 t
in 2010
All-time low
-4 1000 t
in 2017
Years of data
14
2010–2023

Meat — Residuals in United Republic of Tanzania, 2010–2023

-4-3-2-102010201620232010: 0 1000 t2011: 0 1000 t2012: 0 1000 t2013: 0 1000 t2014: 0 1000 t2015: 0 1000 t2016: -2 1000 t2017: -4 1000 t2018: -1 1000 t2019: 0 1000 t2020: -2 1000 t2021: -2 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 meat — residuals in United Republic of Tanzania is 0 1000 t, measured in 2023. That is the highest value across all 14 years on record.

The figure is up 100.0% over five years.

Over the whole period, meat — residuals in United Republic of Tanzania peaked at 0 1000 t in 2010 and was at its lowest, -4 1000 t, in 2017.

That places United Republic of Tanzania 1st out of 20 countries 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.

Meat — Residuals in United Republic of Tanzania, year by year

Year 1000 t Change
2010 0 1000 t —
2011 0 1000 t —
2012 0 1000 t —
2013 0 1000 t —
2014 0 1000 t —
2015 0 1000 t —
2016 -2 1000 t —
2017 -4 1000 t +100.0%
2018 -1 1000 t -75.0%
2019 0 1000 t -100.0%
2020 -2 1000 t —
2021 -2 1000 t -0.0%
2022 0 1000 t -100.0%
2023 0 1000 t —

Averages by decade

DecadeAverage LowestHighest Years
2010s -0.7 1000 t -4 1000 t 0 1000 t 10
2020s -1 1000 t -2 1000 t 0 1000 t 4

Countries ranked near United Republic of Tanzania

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

See the full ranking of 213 places →

More agriculture & rural data for United Republic of Tanzania

All data for United Republic of Tanzania →

Frequently asked questions

What is meat — residuals in United Republic of Tanzania?
Meat — residuals in United Republic of Tanzania was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest meat — residuals recorded in United Republic of Tanzania?
The highest recorded value was 0 1000 t in 2010.
What is the lowest meat — residuals recorded in United Republic of Tanzania?
The lowest recorded value was -4 1000 t in 2017.
How does United Republic of Tanzania rank for meat — residuals?
United Republic of Tanzania ranks 1st out of 20 countries with data for 2023.
Where does this United Republic of Tanzania 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.

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Meat — Residuals in United Republic of Tanzania. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 07 September 2026, from https://agriculture.statizoid.com/stat/meat-residuals/united-republic-of-tanzania/

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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.