Yams — Stock Variation in Land Locked Developing Countries (LLDCs)

Land Locked Developing Countries (LLDCs): Yams — Stock Variation was 5 1000 t in 2023. ◆ Volatile

Latest (2023)
5 1000 t
Change on year
down 82.1%
Rank
9th
of 29 groups
All-time high
49 1000 t
in 2013
All-time low
-104 1000 t
in 2014
Years of data
14
2010–2023

Yams — Stock Variation in Land Locked Developing Countries (LLDCs), 2010–2023

-100-500502010201620232010: -13 1000 t2011: 1 1000 t2012: 18 1000 t2013: 49 1000 t2014: -104 1000 t2015: -11 1000 t2016: 20 1000 t2017: -24 1000 t2018: 0 1000 t2019: -2 1000 t2020: 3 1000 t2021: 0 1000 t2022: 28 1000 t2023: 5 1000 t

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

Analysis

Land Locked Developing Countries (LLDCs) recorded 5 1000 t for yams — stock variation in 2023.

That represents a change of down 82.1% on the previous year and down 89.8% over ten years.

Over the whole period, yams — stock variation in Land Locked Developing Countries (LLDCs) peaked at 49 1000 t in 2013 and was at its lowest, -104 1000 t, in 2014.

That places Land Locked Developing Countries (LLDCs) 9th out of 29 groups 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.

Yams — Stock Variation in Land Locked Developing Countries (LLDCs), year by year

Annual values for Yams — Stock Variation in Land Locked Developing Countries (LLDCs), 2010 to 2023.
Year 1000 t Change
2010 -13 1000 t —
2011 1 1000 t -107.7%
2012 18 1000 t +1700.0%
2013 49 1000 t +172.2%
2014 -104 1000 t -312.2%
2015 -11 1000 t -89.4%
2016 20 1000 t -281.8%
2017 -24 1000 t -220.0%
2018 0 1000 t -100.0%
2019 -2 1000 t —
2020 3 1000 t -250.0%
2021 0 1000 t -100.0%
2022 28 1000 t —
2023 5 1000 t -82.1%

Averages by decade

DecadeAverage LowestHighest Years
2010s -6.6 1000 t -104 1000 t 49 1000 t 10
2020s 9 1000 t 0 1000 t 28 1000 t 4

Countries ranked near Land Locked Developing Countries (LLDCs)

  1. 6 United Kingdom of Great Britain and Northern Ireland 2 1000 t compare
  2. 6 United Kingdom 2 1000 t compare
  3. 6 United States 2 1000 t compare
  4. 9 Burkina Faso 1 1000 t compare
  5. 9 Brazil 1 1000 t compare
  6. 11 Marshall Islands 0 1000 t
  7. 11 Tonga 0 1000 t
  8. 11 Bahrain 0 1000 t
  9. 11 Qatar 0 1000 t
  10. 11 Cuba 0 1000 t
  11. 11 Comoros 0 1000 t compare
  12. 11 Sao Tome and Principe 0 1000 t
  13. 11 China, Macao SAR 0 1000 t
  14. 11 Liberia 0 1000 t compare
  15. 11 Saint Kitts and Nevis 0 1000 t
  16. 11 Solomon Islands 0 1000 t compare
  17. 11 Micronesia 0 1000 t
  18. 11 Iceland 0 1000 t
  19. 11 Saint Vincent and the Grenadines 0 1000 t
  20. 11 Grenada 0 1000 t
  21. 11 Gabon 0 1000 t compare
  22. 11 Bahamas 0 1000 t
  23. 11 Kuwait 0 1000 t
  24. 11 Barbados 0 1000 t
  25. 11 Saint Lucia 0 1000 t
  26. 11 China, Hong Kong SAR 0 1000 t
  27. 11 Guyana 0 1000 t compare
  28. 11 Congo 0 1000 t compare
  29. 11 Finland 0 1000 t
  30. 11 Maldives 0 1000 t
  31. 11 Ireland 0 1000 t
  32. 11 Belgium 0 1000 t
  33. 11 Haiti 0 1000 t compare
  34. 11 Malaysia 0 1000 t
  35. 11 Papua New Guinea 0 1000 t compare
  36. 11 Panama 0 1000 t compare
  37. 11 Oman 0 1000 t compare
  38. 11 Norway 0 1000 t
  39. 11 Mauritania 0 1000 t
  40. 11 Denmark 0 1000 t
  41. 11 Trinidad and Tobago 0 1000 t
  42. 11 Costa Rica 0 1000 t compare
  43. 11 Antigua and Barbuda 0 1000 t
  44. 11 Fiji 0 1000 t compare
  45. 11 Nicaragua 0 1000 t
  46. 11 Cambodia 0 1000 t
  47. 11 Luxembourg 0 1000 t
  48. 11 Venezuela (Bolivarian Republic of) 0 1000 t
  49. 11 Jamaica 0 1000 t compare
  50. 11 Philippines 0 1000 t compare
  51. 11 Sweden 0 1000 t
  52. 11 Czechia 0 1000 t
  53. 11 France 0 1000 t
  54. 11 Tunisia 0 1000 t
  55. 11 Germany 0 1000 t compare
  56. 11 Austria 0 1000 t
  57. 11 Netherlands (Kingdom of the) 0 1000 t compare
  58. 11 Italy 0 1000 t
  59. 11 New Zealand 0 1000 t
  60. 11 Namibia 0 1000 t
  61. 11 New Caledonia 0 1000 t compare
  62. 11 Belize 0 1000 t
  63. 11 Canada 0 1000 t compare
  64. 11 Romania 0 1000 t
  65. 11 Switzerland 0 1000 t
  66. 11 Colombia 0 1000 t compare
  67. 11 Thailand 0 1000 t
  68. 11 Democratic Republic of the Congo 0 1000 t compare
  69. 11 Portugal 0 1000 t compare
  70. 11 Côte d'Ivoire 0 1000 t compare
  71. 11 China, Taiwan Province of 0 1000 t compare
  72. 11 Niger 0 1000 t
  73. 11 Botswana 0 1000 t
  74. 11 Pakistan 0 1000 t
  75. 11 Indonesia 0 1000 t
  76. 11 India 0 1000 t
  77. 11 Australia 0 1000 t
  78. 11 Ethiopia 0 1000 t
  79. 11 Guatemala 0 1000 t
  80. 11 Republic of Korea 0 1000 t
  81. 11 Senegal 0 1000 t compare
  82. 11 Nigeria 0 1000 t compare
  83. 11 Rwanda 0 1000 t compare
  84. 11 Spain 0 1000 t
  85. 11 Russian Federation 0 1000 t
  86. 11 United Republic of Tanzania 0 1000 t compare
  87. 11 China, mainland 0 1000 t
  88. 11 South Africa 0 1000 t
  89. 11 Australia and New Zealand 0 1000 t
  90. 11 Melanesia 0 1000 t compare
  91. 11 Kenya 0 1000 t compare
  92. 11 China 0 1000 t compare
  93. 11 Cote d'Ivoire 0 1000 t compare
  94. 11 Russia 0 1000 t

See the full ranking of 130 places →

More agriculture & rural data for Land Locked Developing Countries (LLDCs)

All data for Land Locked Developing Countries (LLDCs) →

Frequently asked questions

What is yams — stock variation in Land Locked Developing Countries (LLDCs)?
Yams — stock variation in Land Locked Developing Countries (LLDCs) was 5 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest yams — stock variation recorded in Land Locked Developing Countries (LLDCs)?
The highest recorded value was 49 1000 t in 2013.
What is the lowest yams — stock variation recorded in Land Locked Developing Countries (LLDCs)?
The lowest recorded value was -104 1000 t in 2014.
How does Land Locked Developing Countries (LLDCs) rank for yams — stock variation?
Land Locked Developing Countries (LLDCs) ranks 9th out of 29 groups with data for 2023.
Is yams — stock variation rising or falling in Land Locked Developing Countries (LLDCs)?
Over the last ten years it is down 89.8%. The long-run trend across the full record is volatile.
Where does this Land Locked Developing Countries (LLDCs) data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Yams — Stock Variation. Statizoid updates them automatically from the source API.

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Yams — Stock Variation in Land Locked Developing Countries (LLDCs). Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 28 September 2026, from https://agriculture.statizoid.com/stat/yams-stock-variation/land-locked-developing-countries-lldcs/

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About this data

Indicator
Yams — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
130 places, 1,655 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.