Sweeteners, Other — Stock Variation in Congo

Congo: Sweeteners, Other — Stock Variation was 0 1000 t in 2023. ◆ Volatile

Latest (2023)
0 1000 t
World rank
70th
of 181 countries
All-time high
1 1000 t
in 2014
All-time low
-2 1000 t
in 2010
Years of data
14
2010–2023

Sweeteners, Other — Stock Variation in Congo, 2010–2023

-2-1012010201620232010: -2 1000 t2011: 0 1000 t2012: 0 1000 t2013: 0 1000 t2014: 1 1000 t2015: 0 1000 t2016: -2 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

Congo recorded 0 1000 t for sweeteners, other — stock variation in 2023.

Over the whole period, sweeteners, other — stock variation in Congo peaked at 1 1000 t in 2014 and was at its lowest, -2 1000 t, in 2010.

That places Congo 70th out of 181 countries with data for 2023, putting it in the middle of the range.

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 1 1000 t 10
2020s 0 1000 t 0 1000 t 0 1000 t 4

Countries ranked near Congo

  1. 70 Micronesia (Federated States of) 0 1000 t compare
  2. 70 Tuvalu 0 1000 t compare
  3. 70 Nauru 0 1000 t compare
  4. 70 Tonga 0 1000 t compare
  5. 70 Marshall Islands 0 1000 t compare
  6. 70 Bhutan 0 1000 t compare
  7. 70 Qatar 0 1000 t compare
  8. 70 Bahrain 0 1000 t compare
  9. 70 Cuba 0 1000 t compare
  10. 70 Kiribati 0 1000 t compare
  11. 70 Comoros 0 1000 t compare
  12. 70 Turkmenistan 0 1000 t compare
  13. 70 Sao Tome and Principe 0 1000 t compare
  14. 70 Djibouti 0 1000 t compare
  15. 70 Timor-Leste 0 1000 t compare
  16. 70 Afghanistan 0 1000 t compare
  17. 70 Solomon Islands 0 1000 t compare
  18. 70 Guinea-Bissau 0 1000 t compare
  19. 70 Vanuatu 0 1000 t compare
  20. 70 China, Macao SAR 0 1000 t compare
  21. 70 Albania 0 1000 t compare
  22. 70 Cabo Verde 0 1000 t compare
  23. 70 Saint Vincent and the Grenadines 0 1000 t compare
  24. 70 Micronesia 0 1000 t compare
  25. 70 Mauritania 0 1000 t compare
  26. 70 Lesotho 0 1000 t compare
  27. 70 Liberia 0 1000 t compare
  28. 70 French Polynesia 0 1000 t compare
  29. 70 Seychelles 0 1000 t compare
  30. 70 North Macedonia 0 1000 t compare
  31. 70 Suriname 0 1000 t compare
  32. 70 Grenada 0 1000 t compare
  33. 70 Kuwait 0 1000 t compare
  34. 70 Georgia 0 1000 t compare
  35. 70 Estonia 0 1000 t compare
  36. 70 Iraq 0 1000 t compare
  37. 70 Chile 0 1000 t compare
  38. 70 Sierra Leone 0 1000 t compare
  39. 70 Azerbaijan 0 1000 t compare
  40. 70 Tunisia 0 1000 t compare
  41. 70 Maldives 0 1000 t compare
  42. 70 Gambia 0 1000 t compare
  43. 70 Angola 0 1000 t compare
  44. 70 Samoa 0 1000 t compare
  45. 70 Guyana 0 1000 t compare
  46. 70 Gabon 0 1000 t compare
  47. 70 Belgium 0 1000 t compare
  48. 70 New Caledonia 0 1000 t compare
  49. 70 Syrian Arab Republic 0 1000 t compare
  50. 70 Greece 0 1000 t compare
  51. 70 Uruguay 0 1000 t compare
  52. 70 Papua New Guinea 0 1000 t compare
  53. 70 Poland 0 1000 t compare
  54. 70 Jamaica 0 1000 t compare
  55. 70 Malawi 0 1000 t compare
  56. 70 Lao People's Democratic Republic 0 1000 t compare
  57. 70 Lebanon 0 1000 t compare
  58. 70 Oman 0 1000 t compare
  59. 70 Belize 0 1000 t compare
  60. 70 Yemen 0 1000 t compare
  61. 70 Niger 0 1000 t compare
  62. 70 Malaysia 0 1000 t compare
  63. 70 Haiti 0 1000 t compare
  64. 70 Burkina Faso 0 1000 t compare
  65. 70 Canada 0 1000 t compare
  66. 70 Bolivia (Plurinational State of) 0 1000 t compare
  67. 70 Panama 0 1000 t compare
  68. 70 Nicaragua 0 1000 t compare
  69. 70 Cambodia 0 1000 t compare
  70. 70 Myanmar 0 1000 t compare
  71. 70 Portugal 0 1000 t compare
  72. 70 Polynesia 0 1000 t compare
  73. 70 Costa Rica 0 1000 t compare
  74. 70 Rwanda 0 1000 t compare
  75. 70 Honduras 0 1000 t compare
  76. 70 Ghana 0 1000 t compare
  77. 70 Ethiopia 0 1000 t compare
  78. 70 Democratic Republic of the Congo 0 1000 t compare
  79. 70 Venezuela (Bolivarian Republic of) 0 1000 t compare
  80. 70 Mexico 0 1000 t compare
  81. 70 Russian Federation 0 1000 t compare
  82. 70 Uganda 0 1000 t compare
  83. 70 Sri Lanka 0 1000 t compare
  84. 70 Indonesia 0 1000 t compare
  85. 70 Kenya 0 1000 t compare

See the full ranking of 212 places →

More agriculture & rural data for Congo

All data for Congo →

Frequently asked questions

What is sweeteners, other — stock variation in Congo?
Sweeteners, other — stock variation in Congo was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest sweeteners, other — stock variation recorded in Congo?
The highest recorded value was 1 1000 t in 2014.
What is the lowest sweeteners, other — stock variation recorded in Congo?
The lowest recorded value was -2 1000 t in 2010.
How does Congo rank for sweeteners, other — stock variation?
Congo ranks 70th out of 181 countries with data for 2023.
Where does this Congo data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Sweeteners, Other — Stock Variation. Statizoid updates them automatically from the source API.

Download this data

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About this data

Indicator
Sweeteners, Other — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
212 places, 2,888 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.