Roots, Other — Stock Variation in Southern Asia

Southern Asia: Roots, Other — Stock Variation was 13 1000 t in 2023. ◆ Volatile

Latest (2023)
13 1000 t
Change on year
up 116.7%
Rank
8th
of 36 groups
All-time high
13 1000 t
in 2023
All-time low
-19 1000 t
in 2019
Years of data
14
2010–2023

Roots, Other — Stock Variation in Southern Asia, 2010–2023

-20-100102010201620232010: 2 1000 t2011: 3 1000 t2012: 1 1000 t2013: -2 1000 t2014: -4 1000 t2015: 2 1000 t2016: 4 1000 t2017: 3 1000 t2018: 2 1000 t2019: -19 1000 t2020: -5 1000 t2021: 2 1000 t2022: 6 1000 t2023: 13 1000 t

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

Analysis

The most recent figure for roots, other — stock variation in Southern Asia is 13 1000 t, measured in 2023. That is the highest value across all 14 years on record.

That represents a change of up 116.7% on the previous year and up 750.0% over ten years.

Over the whole period, roots, other — stock variation in Southern Asia peaked at 13 1000 t in 2023 and was at its lowest, -19 1000 t, in 2019.

That places Southern Asia 8th out of 36 groups 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.

Averages by decade

DecadeAverage LowestHighest Years
2010s -0.8 1000 t -19 1000 t 4 1000 t 10
2020s 4 1000 t -5 1000 t 13 1000 t 4

Countries ranked near Southern Asia

  1. 5 Ghana 32 1000 t compare
  2. 6 Pakistan 13 1000 t compare
  3. 7 Dominican Republic 12 1000 t compare
  4. 8 Thailand 5 1000 t compare
  5. 9 Saint Vincent and the Grenadines 2 1000 t compare
  6. 9 Colombia 2 1000 t compare
  7. 11 Nauru 0 1000 t
  8. 11 Tuvalu 0 1000 t
  9. 11 Marshall Islands 0 1000 t
  10. 11 Tonga 0 1000 t
  11. 11 Bhutan 0 1000 t compare
  12. 11 Bahrain 0 1000 t
  13. 11 Qatar 0 1000 t
  14. 11 Kiribati 0 1000 t
  15. 11 Cuba 0 1000 t
  16. 11 Djibouti 0 1000 t
  17. 11 Comoros 0 1000 t compare
  18. 11 Libya 0 1000 t
  19. 11 Sao Tome and Principe 0 1000 t compare
  20. 11 China, Macao SAR 0 1000 t compare
  21. 11 French Polynesia 0 1000 t compare
  22. 11 Liberia 0 1000 t compare
  23. 11 Vanuatu 0 1000 t compare
  24. 11 Guinea-Bissau 0 1000 t compare
  25. 11 Jordan 0 1000 t
  26. 11 Saint Kitts and Nevis 0 1000 t
  27. 11 Suriname 0 1000 t compare
  28. 11 Albania 0 1000 t
  29. 11 Seychelles 0 1000 t
  30. 11 Mongolia 0 1000 t
  31. 11 Samoa 0 1000 t compare
  32. 11 Kuwait 0 1000 t compare
  33. 11 Iceland 0 1000 t
  34. 11 Armenia 0 1000 t
  35. 11 Grenada 0 1000 t compare
  36. 11 Azerbaijan 0 1000 t
  37. 11 Bahamas 0 1000 t
  38. 11 Algeria 0 1000 t
  39. 11 Mauritius 0 1000 t
  40. 11 Gabon 0 1000 t compare
  41. 11 Argentina 0 1000 t
  42. 11 Kyrgyzstan 0 1000 t
  43. 11 Gambia 0 1000 t
  44. 11 Croatia 0 1000 t
  45. 11 Paraguay 0 1000 t
  46. 11 China, Hong Kong SAR 0 1000 t compare
  47. 11 Barbados 0 1000 t
  48. 11 North Macedonia 0 1000 t
  49. 11 Georgia 0 1000 t
  50. 11 Congo 0 1000 t compare
  51. 11 Finland 0 1000 t
  52. 11 Ireland 0 1000 t
  53. 11 Bosnia and Herzegovina 0 1000 t
  54. 11 Saint Lucia 0 1000 t
  55. 11 Guyana 0 1000 t compare
  56. 11 Montenegro 0 1000 t
  57. 11 Maldives 0 1000 t
  58. 11 Estonia 0 1000 t
  59. 11 Sierra Leone 0 1000 t
  60. 11 Belgium 0 1000 t
  61. 11 Lebanon 0 1000 t
  62. 11 Belarus 0 1000 t
  63. 11 El Salvador 0 1000 t compare
  64. 11 Saudi Arabia 0 1000 t compare
  65. 11 Cyprus 0 1000 t
  66. 11 Serbia 0 1000 t compare
  67. 11 Haiti 0 1000 t compare
  68. 11 Malaysia 0 1000 t
  69. 11 Malta 0 1000 t
  70. 11 Bulgaria 0 1000 t
  71. 11 Latvia 0 1000 t
  72. 11 United Arab Emirates 0 1000 t compare
  73. 11 Papua New Guinea 0 1000 t compare
  74. 11 Poland 0 1000 t
  75. 11 Oman 0 1000 t compare
  76. 11 Norway 0 1000 t
  77. 11 Czechia 0 1000 t
  78. 11 Myanmar 0 1000 t
  79. 11 Luxembourg 0 1000 t
  80. 11 Denmark 0 1000 t
  81. 11 Lithuania 0 1000 t
  82. 11 Slovak Republic 0 1000 t
  83. 11 Panama 0 1000 t compare
  84. 11 United Kingdom of Great Britain and Northern Ireland 0 1000 t
  85. 11 Tunisia 0 1000 t
  86. 11 Greece 0 1000 t
  87. 11 Yemen 0 1000 t
  88. 11 Trinidad and Tobago 0 1000 t compare
  89. 11 Guinea 0 1000 t compare
  90. 11 Uruguay 0 1000 t
  91. 11 Antigua and Barbuda 0 1000 t
  92. 11 Slovenia 0 1000 t compare
  93. 11 Costa Rica 0 1000 t compare
  94. 11 Fiji 0 1000 t compare
  95. 11 Ecuador 0 1000 t compare
  96. 11 Madagascar 0 1000 t compare
  97. 11 Sweden 0 1000 t
  98. 11 Bangladesh 0 1000 t
  99. 11 Romania 0 1000 t
  100. 11 Hungary 0 1000 t
  101. 11 Jamaica 0 1000 t compare
  102. 11 Philippines 0 1000 t compare
  103. 11 Germany 0 1000 t
  104. 11 France 0 1000 t compare
  105. 11 Austria 0 1000 t
  106. 11 Netherlands (Kingdom of the) 0 1000 t compare
  107. 11 Italy 0 1000 t
  108. 11 Mexico 0 1000 t compare
  109. 11 New Zealand 0 1000 t compare
  110. 11 Namibia 0 1000 t compare
  111. 11 India 0 1000 t
  112. 11 Canada 0 1000 t compare
  113. 11 Burkina Faso 0 1000 t
  114. 11 Switzerland 0 1000 t
  115. 11 Honduras 0 1000 t compare
  116. 11 Malawi 0 1000 t
  117. 11 New Caledonia 0 1000 t
  118. 11 Belize 0 1000 t
  119. 11 Mozambique 0 1000 t
  120. 11 Brazil 0 1000 t
  121. 11 Niger 0 1000 t compare
  122. 11 Republic of Korea 0 1000 t
  123. 11 Kazakhstan 0 1000 t
  124. 11 China, Taiwan Province of 0 1000 t compare
  125. 11 Guatemala 0 1000 t
  126. 11 Sri Lanka 0 1000 t
  127. 11 Portugal 0 1000 t
  128. 11 Australia 0 1000 t
  129. 11 Botswana 0 1000 t compare
  130. 11 Indonesia 0 1000 t compare
  131. 11 Zambia 0 1000 t
  132. 11 Zimbabwe 0 1000 t
  133. 11 Morocco 0 1000 t
  134. 11 Egypt 0 1000 t compare
  135. 11 Ethiopia 0 1000 t compare
  136. 11 Uganda 0 1000 t
  137. 11 Nepal 0 1000 t compare
  138. 11 Rwanda 0 1000 t compare
  139. 11 Russian Federation 0 1000 t
  140. 11 Spain 0 1000 t
  141. 11 Ukraine 0 1000 t
  142. 11 South Africa 0 1000 t
  143. 11 Australia and New Zealand 0 1000 t
  144. 11 Kenya 0 1000 t compare

See the full ranking of 199 places →

More agriculture & rural data for Southern Asia

All data for Southern Asia →

Frequently asked questions

What is roots, other — stock variation in Southern Asia?
Roots, other — stock variation in Southern Asia was 13 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest roots, other — stock variation recorded in Southern Asia?
The highest recorded value was 13 1000 t in 2023.
What is the lowest roots, other — stock variation recorded in Southern Asia?
The lowest recorded value was -19 1000 t in 2019.
How does Southern Asia rank for roots, other — stock variation?
Southern Asia ranks 8th out of 36 groups with data for 2023.
Is roots, other — stock variation rising or falling in Southern Asia?
Over the last ten years it is up 750.0%. The long-run trend across the full record is volatile.
Where does this Southern Asia data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Roots, Other — Stock Variation. Statizoid updates them automatically from the source API.

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Roots, Other — Stock Variation in Southern Asia. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 21 August 2026, from https://agriculture.statizoid.com/stat/roots-other-stock-variation/southern-asia/

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About this data

Indicator
Roots, 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
199 places, 2,608 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.