Rape and Mustardseed — Stock Variation in South-Eastern Asia

South-Eastern Asia: Rape and Mustardseed — Stock Variation was -2 1000 t in 2023. ◆ Volatile

Latest (2023)
-2 1000 t
Change on year
down 200.0%
Rank
19th
of 31 groups
All-time high
17 1000 t
in 2010
All-time low
-31 1000 t
in 2014
Years of data
14
2010–2023

Rape and Mustardseed — Stock Variation in South-Eastern Asia, 2010–2023

-30-20-10010202010201620232010: 17 1000 t2011: 2 1000 t2012: 0 1000 t2013: -1 1000 t2014: -31 1000 t2015: -3 1000 t2016: 1 1000 t2017: -5 1000 t2018: 1 1000 t2019: 0 1000 t2020: 1 1000 t2021: 3 1000 t2022: 2 1000 t2023: -2 1000 t

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

Analysis

South-Eastern Asia recorded -2 1000 t for rape and mustardseed — stock variation in 2023.

Compared with earlier readings it is down 200.0% on the previous year and down 100.0% over ten years.

Over the whole period, rape and mustardseed — stock variation in South-Eastern Asia peaked at 17 1000 t in 2010 and was at its lowest, -31 1000 t, in 2014.

That places South-Eastern Asia 19th out of 31 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.

Averages by decade

DecadeAverage LowestHighest Years
2010s -1.9 1000 t -31 1000 t 17 1000 t 10
2020s 1 1000 t -2 1000 t 3 1000 t 4

Countries ranked near South-Eastern Asia

  1. 16 Luxembourg 1 1000 t compare
  2. 17 Nauru 0 1000 t compare
  3. 17 Tonga 0 1000 t compare
  4. 17 Marshall Islands 0 1000 t compare
  5. 17 Qatar 0 1000 t compare
  6. 17 Bhutan 0 1000 t compare
  7. 17 Bahrain 0 1000 t compare
  8. 17 Cuba 0 1000 t compare
  9. 17 Solomon Islands 0 1000 t compare
  10. 17 China, Macao SAR 0 1000 t compare
  11. 17 Tajikistan 0 1000 t compare
  12. 17 Micronesia 0 1000 t compare
  13. 17 Mauritania 0 1000 t compare
  14. 17 Libya 0 1000 t compare
  15. 17 Cabo Verde 0 1000 t compare
  16. 17 Albania 0 1000 t compare
  17. 17 Armenia 0 1000 t compare
  18. 17 French Polynesia 0 1000 t compare
  19. 17 Seychelles 0 1000 t compare
  20. 17 Uzbekistan 0 1000 t compare
  21. 17 Kuwait 0 1000 t compare
  22. 17 Grenada 0 1000 t compare
  23. 17 Suriname 0 1000 t compare
  24. 17 Bahamas 0 1000 t compare
  25. 17 Iceland 0 1000 t compare
  26. 17 Montenegro 0 1000 t compare
  27. 17 Jordan 0 1000 t compare
  28. 17 Gambia 0 1000 t compare
  29. 17 Samoa 0 1000 t compare
  30. 17 North Macedonia 0 1000 t compare
  31. 17 Saint Lucia 0 1000 t compare
  32. 17 Georgia 0 1000 t compare
  33. 17 Kyrgyzstan 0 1000 t compare
  34. 17 Maldives 0 1000 t compare
  35. 17 Argentina 0 1000 t compare
  36. 17 Gabon 0 1000 t compare
  37. 17 Barbados 0 1000 t compare
  38. 17 Bosnia and Herzegovina 0 1000 t compare
  39. 17 Azerbaijan 0 1000 t compare
  40. 17 Paraguay 0 1000 t compare
  41. 17 Antigua and Barbuda 0 1000 t compare
  42. 17 Israel 0 1000 t compare
  43. 17 Tunisia 0 1000 t compare
  44. 17 Guyana 0 1000 t compare
  45. 17 Algeria 0 1000 t compare
  46. 17 China, Hong Kong SAR 0 1000 t compare
  47. 17 Eswatini 0 1000 t compare
  48. 17 Oman 0 1000 t compare
  49. 17 Mauritius 0 1000 t compare
  50. 17 New Caledonia 0 1000 t compare
  51. 17 Belgium 0 1000 t compare
  52. 17 Belarus 0 1000 t compare
  53. 17 Saudi Arabia 0 1000 t compare
  54. 17 Niger 0 1000 t compare
  55. 17 Viet Nam 0 1000 t compare
  56. 17 Malta 0 1000 t compare
  57. 17 Uruguay 0 1000 t compare
  58. 17 El Salvador 0 1000 t compare
  59. 17 Iran (Islamic Republic of) 0 1000 t compare
  60. 17 Trinidad and Tobago 0 1000 t compare
  61. 17 Fiji 0 1000 t compare
  62. 17 Norway 0 1000 t compare
  63. 17 Panama 0 1000 t compare
  64. 17 Yemen 0 1000 t compare
  65. 17 Malawi 0 1000 t compare
  66. 17 Syrian Arab Republic 0 1000 t compare
  67. 17 Lebanon 0 1000 t compare
  68. 17 Serbia 0 1000 t compare
  69. 17 Slovenia 0 1000 t compare
  70. 17 Burkina Faso 0 1000 t compare
  71. 17 Nicaragua 0 1000 t compare
  72. 17 Jamaica 0 1000 t compare
  73. 17 Namibia 0 1000 t compare
  74. 17 Belize 0 1000 t compare
  75. 17 Polynesia 0 1000 t compare
  76. 17 France 0 1000 t compare
  77. 17 Bolivia (Plurinational State of) 0 1000 t compare
  78. 17 Zambia 0 1000 t compare
  79. 17 Madagascar 0 1000 t compare
  80. 17 Ghana 0 1000 t compare
  81. 17 Mozambique 0 1000 t compare
  82. 17 Democratic Republic of the Congo 0 1000 t compare
  83. 17 Morocco 0 1000 t compare
  84. 17 Cambodia 0 1000 t compare
  85. 17 New Zealand 0 1000 t compare
  86. 17 Cyprus 0 1000 t compare
  87. 17 Botswana 0 1000 t compare
  88. 17 Cameroon 0 1000 t compare
  89. 17 Myanmar 0 1000 t compare
  90. 17 China, Taiwan Province of 0 1000 t compare
  91. 17 Costa Rica 0 1000 t compare
  92. 17 Ecuador 0 1000 t compare
  93. 17 Senegal 0 1000 t compare
  94. 17 Zimbabwe 0 1000 t compare
  95. 17 Honduras 0 1000 t compare
  96. 17 Côte d'Ivoire 0 1000 t compare
  97. 17 Venezuela (Bolivarian Republic of) 0 1000 t compare
  98. 17 Republic of Korea 0 1000 t compare
  99. 17 Philippines 0 1000 t compare
  100. 17 Thailand 0 1000 t compare
  101. 17 Peru 0 1000 t compare
  102. 17 Nigeria 0 1000 t compare
  103. 17 Sri Lanka 0 1000 t compare
  104. 17 Uganda 0 1000 t compare
  105. 17 Guatemala 0 1000 t compare
  106. 17 Indonesia 0 1000 t compare
  107. 17 Colombia 0 1000 t compare
  108. 17 Egypt 0 1000 t compare
  109. 17 United Republic of Tanzania 0 1000 t compare
  110. 17 Melanesia 0 1000 t compare
  111. 17 Kenya 0 1000 t compare

See the full ranking of 187 places →

More agriculture & rural data for South-Eastern Asia

All data for South-Eastern Asia →

Frequently asked questions

What is rape and mustardseed — stock variation in South-Eastern Asia?
Rape and mustardseed — stock variation in South-Eastern Asia was -2 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest rape and mustardseed — stock variation recorded in South-Eastern Asia?
The highest recorded value was 17 1000 t in 2010.
What is the lowest rape and mustardseed — stock variation recorded in South-Eastern Asia?
The lowest recorded value was -31 1000 t in 2014.
How does South-Eastern Asia rank for rape and mustardseed — stock variation?
South-Eastern Asia ranks 19th out of 31 groups with data for 2023.
Is rape and mustardseed — stock variation rising or falling in South-Eastern Asia?
Over the last ten years it is down 100.0%. The long-run trend across the full record is volatile.
Where does this South-Eastern Asia data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Rape and Mustardseed — Stock Variation. Statizoid updates them automatically from the source API.

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Rape and Mustardseed — Stock Variation in South-Eastern Asia. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 16 August 2026, from https://agriculture.statizoid.com/stat/rape-and-mustardseed-stock-variation-2/south-eastern-asia/

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About this data

Indicator
Rape and Mustardseed — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
187 places, 2,427 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.