Sugar & Sweeteners — Residuals in United Republic of Tanzania

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

Latest (2023)
0 1000 t
World rank
3rd
of 20 countries
All-time high
0 1000 t
in 2010
All-time low
-22 1000 t
in 2019
Years of data
14
2010–2023

Sugar & Sweeteners — Residuals in United Republic of Tanzania, 2010–2023

-20-15-10-502010201620232010: 0 1000 t2011: 0 1000 t2012: 0 1000 t2013: -4 1000 t2014: 0 1000 t2015: 0 1000 t2016: 0 1000 t2017: -6 1000 t2018: -14 1000 t2019: -22 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

In 2023, sugar & sweeteners — residuals in United Republic of Tanzania stood at 0 1000 t. That is the highest value across all 14 years on record.

That represents a change of up 100.0% over ten years.

Over the whole period, sugar & sweeteners — residuals in United Republic of Tanzania peaked at 0 1000 t in 2010 and was at its lowest, -22 1000 t, in 2019.

That places United Republic of Tanzania 3rd out of 20 countries with data for 2023, putting it in the top quarter.

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

Sugar & Sweeteners — Residuals in United Republic of Tanzania, year by year

Annual values for Sugar & Sweeteners — Residuals in United Republic of Tanzania, 2010 to 2023.
Year 1000 t Change
2010 0 1000 t
2011 0 1000 t
2012 0 1000 t
2013 -4 1000 t
2014 0 1000 t -100.0%
2015 0 1000 t
2016 0 1000 t
2017 -6 1000 t
2018 -14 1000 t +133.3%
2019 -22 1000 t +57.1%
2020 0 1000 t -100.0%
2021 0 1000 t
2022 0 1000 t
2023 0 1000 t

Averages by decade

DecadeAverage LowestHighest Years
2010s -4.6 1000 t -22 1000 t 0 1000 t 10
2020s 0 1000 t 0 1000 t 0 1000 t 4

Countries ranked near United Republic of Tanzania

  1. 1 Azerbaijan 25 1000 t compare
  2. 2 Djibouti 13 1000 t compare
  3. 2 Micronesia 3 1000 t compare
  4. 3 Micronesia (Federated States of) 0 1000 t
  5. 3 Democratic People's Republic of Korea 0 1000 t
  6. 3 Kiribati 3 1000 t compare
  7. 3 Timor-Leste 0 1000 t compare
  8. 3 Syrian Arab Republic 0 1000 t compare
  9. 3 Republic of Moldova 0 1000 t
  10. 3 Viet Nam 0 1000 t compare
  11. 3 Bolivia (Plurinational State of) 0 1000 t compare
  12. 3 Polynesia 0 1000 t compare
  13. 3 Venezuela (Bolivarian Republic of) 0 1000 t compare
  14. 3 Democratic Republic of the Congo 0 1000 t
  15. 3 Melanesia 0 1000 t compare
  16. 4 Tajikistan 1 1000 t compare
  17. 4 Cabo Verde 0 1000 t compare
  18. 4 Côte d'Ivoire 0 1000 t
  19. 4 Caribbean 0 1000 t compare
  20. 5 Tuvalu 0 1000 t
  21. 5 Naoero 0 1000 t
  22. 5 Tonga 0 1000 t
  23. 5 Marshall Islands 0 1000 t
  24. 5 Bhutan 0 1000 t compare
  25. 5 Qatar 0 1000 t
  26. 5 Bahrain 0 1000 t compare
  27. 5 Cuba 0 1000 t compare
  28. 5 Turkmenistan 0 1000 t
  29. 5 Comoros 0 1000 t
  30. 5 Sao Tome and Principe 0 1000 t
  31. 5 Libya 0 1000 t
  32. 5 Solomon Islands 0 1000 t
  33. 5 Mongolia 0 1000 t compare
  34. 5 Saint Kitts and Nevis 0 1000 t
  35. 5 Guinea-Bissau 0 1000 t
  36. 5 Vanuatu 0 1000 t
  37. 5 China, Macao SAR 0 1000 t
  38. 5 Albania 0 1000 t
  39. 5 Saint Vincent and the Grenadines 0 1000 t
  40. 5 Uzbekistan 0 1000 t
  41. 5 Armenia 0 1000 t compare
  42. 5 Jordan 0 1000 t compare
  43. 5 Mauritania 0 1000 t
  44. 5 Liberia 0 1000 t
  45. 5 French Polynesia 0 1000 t compare
  46. 5 Lesotho 0 1000 t
  47. 5 Argentina 0 1000 t compare
  48. 5 North Macedonia 0 1000 t compare
  49. 5 Suriname 0 1000 t
  50. 5 Paraguay 0 1000 t
  51. 5 Seychelles 0 1000 t
  52. 5 Grenada 0 1000 t
  53. 5 Bahamas 0 1000 t
  54. 5 Iceland 0 1000 t
  55. 5 Montenegro 0 1000 t
  56. 5 Saint Lucia 0 1000 t compare
  57. 5 Kuwait 0 1000 t compare
  58. 5 Barbados 0 1000 t compare
  59. 5 Kyrgyzstan 0 1000 t
  60. 5 Estonia 0 1000 t
  61. 5 Georgia 0 1000 t
  62. 5 Croatia 0 1000 t compare
  63. 5 Mauritius 0 1000 t compare
  64. 5 Finland 0 1000 t compare
  65. 5 China, Hong Kong SAR 0 1000 t compare
  66. 5 Luxembourg 0 1000 t
  67. 5 Chile 0 1000 t
  68. 5 Angola 0 1000 t compare
  69. 5 Ireland 0 1000 t compare
  70. 5 Sierra Leone 0 1000 t
  71. 5 Tunisia 0 1000 t compare
  72. 5 Gambia 0 1000 t
  73. 5 Antigua and Barbuda 0 1000 t compare
  74. 5 Samoa 0 1000 t
  75. 5 El Salvador 0 1000 t compare
  76. 5 Maldives 0 1000 t
  77. 5 Guyana 0 1000 t compare
  78. 5 Trinidad and Tobago 0 1000 t compare
  79. 5 Latvia 0 1000 t compare
  80. 5 Gabon 0 1000 t
  81. 5 Malta 0 1000 t compare
  82. 5 Czechia 0 1000 t compare
  83. 5 New Caledonia 0 1000 t compare
  84. 5 Greece 0 1000 t compare
  85. 5 Uruguay 0 1000 t compare
  86. 5 Congo 0 1000 t
  87. 5 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
  88. 5 Panama 0 1000 t compare
  89. 5 Guinea 0 1000 t
  90. 5 Haiti 0 1000 t
  91. 5 Belarus 0 1000 t compare
  92. 5 Slovenia 0 1000 t compare
  93. 5 Nicaragua 0 1000 t compare
  94. 5 Dominican Republic 0 1000 t compare
  95. 5 United Arab Emirates 0 1000 t compare
  96. 5 Serbia 0 1000 t compare
  97. 5 Poland 0 1000 t compare
  98. 5 Papua New Guinea 0 1000 t
  99. 5 Fiji 0 1000 t
  100. 5 Saudi Arabia 0 1000 t compare
  101. 5 Norway 0 1000 t
  102. 5 Jamaica 0 1000 t compare
  103. 5 Malawi 0 1000 t
  104. 5 Hungary 0 1000 t compare
  105. 5 Cyprus 0 1000 t compare
  106. 5 Belize 0 1000 t compare
  107. 5 Lebanon 0 1000 t compare
  108. 5 Costa Rica 0 1000 t compare
  109. 5 Netherlands (Kingdom of the) 0 1000 t compare
  110. 5 Niger 0 1000 t
  111. 5 Oman 0 1000 t
  112. 5 Yemen 0 1000 t compare
  113. 5 Switzerland 0 1000 t compare
  114. 5 Honduras 0 1000 t compare
  115. 5 Denmark 0 1000 t
  116. 5 Burkina Faso 0 1000 t
  117. 5 Italy 0 1000 t compare
  118. 5 Madagascar 0 1000 t
  119. 5 Bangladesh 0 1000 t compare
  120. 5 Ecuador 0 1000 t compare
  121. 5 Zambia 0 1000 t compare
  122. 5 Portugal 0 1000 t
  123. 5 Sweden 0 1000 t compare
  124. 5 Australia 0 1000 t compare
  125. 5 Philippines 0 1000 t compare
  126. 5 Morocco 0 1000 t compare
  127. 5 Peru 0 1000 t
  128. 5 Rwanda 0 1000 t
  129. 5 Guatemala 0 1000 t compare
  130. 5 Germany 0 1000 t compare
  131. 5 New Zealand 0 1000 t compare
  132. 5 Mozambique 0 1000 t compare
  133. 5 India 0 1000 t compare
  134. 5 Namibia 0 1000 t
  135. 5 Cameroon 0 1000 t compare
  136. 5 Kazakhstan 0 1000 t compare
  137. 5 Zimbabwe 0 1000 t compare
  138. 5 Botswana 0 1000 t
  139. 5 Mexico 0 1000 t
  140. 5 Republic of Korea 0 1000 t compare
  141. 5 Brazil 0 1000 t compare
  142. 5 Ghana 0 1000 t
  143. 5 Ethiopia 0 1000 t compare
  144. 5 China, mainland 0 1000 t compare
  145. 5 Spain 0 1000 t compare
  146. 5 Uganda 0 1000 t
  147. 5 Sri Lanka 0 1000 t
  148. 5 Pakistan 0 1000 t
  149. 5 Thailand 0 1000 t
  150. 5 Senegal 0 1000 t compare
  151. 5 Indonesia 0 1000 t compare
  152. 5 Nigeria 0 1000 t
  153. 5 Russian Federation 0 1000 t compare
  154. 5 Colombia 0 1000 t compare
  155. 5 Egypt 0 1000 t compare
  156. 5 Nepal 0 1000 t
  157. 5 Kenya 0 1000 t
  158. 5 Australia and New Zealand 0 1000 t compare

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 sugar & sweeteners — residuals in United Republic of Tanzania?
Sugar & sweeteners — 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 sugar & sweeteners — residuals recorded in United Republic of Tanzania?
The highest recorded value was 0 1000 t in 2010.
What is the lowest sugar & sweeteners — residuals recorded in United Republic of Tanzania?
The lowest recorded value was -22 1000 t in 2019.
How does United Republic of Tanzania rank for sugar & sweeteners — residuals?
United Republic of Tanzania ranks 3rd out of 20 countries with data for 2023.
Is sugar & sweeteners — residuals rising or falling in United Republic of Tanzania?
Over the last ten years it is up 100.0%. The long-run trend across the full record is volatile.
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 Sugar & Sweeteners — 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).

Share, cite or embed this page

Cite this page

Sugar & Sweeteners — Residuals in United Republic of Tanzania. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 16 September 2026, from https://agriculture.statizoid.com/stat/sugar-and-sweeteners-residuals/united-republic-of-tanzania/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY-NC-SA 3.0 IGO (FAO); please keep the attribution.

<a href="https://agriculture.statizoid.com/stat/sugar-and-sweeteners-residuals/united-republic-of-tanzania/">Sugar & Sweeteners — Residuals in United Republic of Tanzania</a> — Statizoid

About this data

Indicator
Sugar & Sweeteners — 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.