Sugar & Sweeteners — Residuals in Angola

Angola: Sugar & Sweeteners — Residuals was 0 1000 t in 2023. ◆ Volatile

Latest (2023)
0 1000 t
World rank
5th
of 164 countries
All-time high
6 1000 t
in 2012
All-time low
0 1000 t
in 2014
Years of data
14
2010–2023

Sugar & Sweeteners — Residuals in Angola, 2010–2023

02462010201620232010: 5 1000 t2011: 5 1000 t2012: 6 1000 t2013: 6 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: 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 Angola stood at 0 1000 t. That is the lowest value across all 14 years on record.

The figure is down 100.0% over ten years.

Over the whole period, sugar & sweeteners — residuals in Angola peaked at 6 1000 t in 2012 and was at its lowest, 0 1000 t, in 2014.

That places Angola 5th out of 164 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.

Averages by decade

DecadeAverage LowestHighest Years
2010s 2.2 1000 t 0 1000 t 6 1000 t 10
2020s 0 1000 t 0 1000 t 0 1000 t 4

Countries ranked near Angola

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

See the full ranking of 213 places →

More agriculture & rural data for Angola

All data for Angola →

Frequently asked questions

What is sugar & sweeteners — residuals in Angola?
Sugar & sweeteners — residuals in Angola 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 Angola?
The highest recorded value was 6 1000 t in 2012.
What is the lowest sugar & sweeteners — residuals recorded in Angola?
The lowest recorded value was 0 1000 t in 2014.
How does Angola rank for sugar & sweeteners — residuals?
Angola ranks 5th out of 164 countries with data for 2023.
Is sugar & sweeteners — residuals rising or falling in Angola?
Over the last ten years it is down 100.0%. The long-run trend across the full record is volatile.
Where does this Angola 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.

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Sugar & Sweeteners — Residuals in Angola. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 20 August 2026, from https://agriculture.statizoid.com/stat/sugar-and-sweeteners-residuals/angola/

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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.