Statizoid

Rape and Mustardseed — Stock Variation in Western Asia

Western Asia: Rape and Mustardseed — Stock Variation was -16 1000 t in 2023. ◆ Volatile

Latest (2023)
-16 1000 t
Change on year
down 120.0%
Rank
20th
of 30 groups
All-time high
141 1000 t
in 2014
All-time low
-226 1000 t
in 2011
Years of data
14
2010–2023

Rape and Mustardseed — Stock Variation in Western Asia, 2010–2023

-200-10001002010201620232010: 76 1000 t2011: -226 1000 t2012: 78 1000 t2013: -162 1000 t2014: 141 1000 t2015: -116 1000 t2016: 27 1000 t2017: -33 1000 t2018: -4 1000 t2019: 15 1000 t2020: -12 1000 t2021: 0 1000 t2022: 80 1000 t2023: -16 1000 t

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

Analysis

In 2023, rape and mustardseed — stock variation in Western Asia stood at -16 1000 t.

The figure is down 120.0% on the previous year and up 90.1% over ten years.

Over the whole period, rape and mustardseed — stock variation in Western Asia peaked at 141 1000 t in 2014 and was at its lowest, -226 1000 t, in 2011.

Western Asia ranks 20th of 30 groups on this measure, in the middle of the range.

The series is highly variable year to year, so single readings are best treated with caution.

Rape and Mustardseed — Stock Variation in Western Asia, year by year

Year 1000 t Change
2010 76 1000 t —
2011 -226 1000 t -397.4%
2012 78 1000 t -134.5%
2013 -162 1000 t -307.7%
2014 141 1000 t -187.0%
2015 -116 1000 t -182.3%
2016 27 1000 t -123.3%
2017 -33 1000 t -222.2%
2018 -4 1000 t -87.9%
2019 15 1000 t -475.0%
2020 -12 1000 t -180.0%
2021 0 1000 t -100.0%
2022 80 1000 t —
2023 -16 1000 t -120.0%

Averages by decade

DecadeAverage LowestHighest Years
2010s -20.4 1000 t -226 1000 t 141 1000 t 10
2020s 13 1000 t -16 1000 t 80 1000 t 4

Countries ranked near Western Asia

  1. 17 Luxembourg 1 1000 t compare
  2. 18 Nauru 0 1000 t
  3. 18 Tonga 0 1000 t
  4. 18 Marshall Islands 0 1000 t
  5. 18 Qatar 0 1000 t
  6. 18 Bhutan 0 1000 t
  7. 18 Bahrain 0 1000 t
  8. 18 Cuba 0 1000 t
  9. 18 Solomon Islands 0 1000 t
  10. 18 China, Macao SAR 0 1000 t
  11. 18 Tajikistan 0 1000 t
  12. 18 Micronesia 0 1000 t
  13. 18 Mauritania 0 1000 t
  14. 18 Libya 0 1000 t
  15. 18 Cabo Verde 0 1000 t
  16. 18 Albania 0 1000 t
  17. 18 Armenia 0 1000 t
  18. 18 French Polynesia 0 1000 t
  19. 18 Seychelles 0 1000 t
  20. 18 Uzbekistan 0 1000 t
  21. 18 Kuwait 0 1000 t
  22. 18 Grenada 0 1000 t
  23. 18 Suriname 0 1000 t
  24. 18 Bahamas 0 1000 t
  25. 18 Iceland 0 1000 t
  26. 18 Montenegro 0 1000 t
  27. 18 Jordan 0 1000 t
  28. 18 Gambia 0 1000 t
  29. 18 Samoa 0 1000 t
  30. 18 North Macedonia 0 1000 t compare
  31. 18 Saint Lucia 0 1000 t
  32. 18 Georgia 0 1000 t
  33. 18 Kyrgyzstan 0 1000 t
  34. 18 Maldives 0 1000 t
  35. 18 Argentina 0 1000 t compare
  36. 18 Gabon 0 1000 t
  37. 18 Barbados 0 1000 t
  38. 18 Bosnia and Herzegovina 0 1000 t compare
  39. 18 Azerbaijan 0 1000 t
  40. 18 Paraguay 0 1000 t compare
  41. 18 Antigua and Barbuda 0 1000 t
  42. 18 Israel 0 1000 t compare
  43. 18 Tunisia 0 1000 t compare
  44. 18 Guyana 0 1000 t
  45. 18 Algeria 0 1000 t compare
  46. 18 China, Hong Kong SAR 0 1000 t
  47. 18 Eswatini 0 1000 t
  48. 18 Oman 0 1000 t
  49. 18 Mauritius 0 1000 t
  50. 18 New Caledonia 0 1000 t
  51. 18 Belgium 0 1000 t compare
  52. 18 Belarus 0 1000 t compare
  53. 18 Saudi Arabia 0 1000 t
  54. 18 Niger 0 1000 t
  55. 18 Viet Nam 0 1000 t compare
  56. 18 Malta 0 1000 t
  57. 18 Uruguay 0 1000 t compare
  58. 18 El Salvador 0 1000 t
  59. 18 Iran (Islamic Republic of) 0 1000 t compare
  60. 18 Trinidad and Tobago 0 1000 t
  61. 18 Fiji 0 1000 t
  62. 18 Norway 0 1000 t
  63. 18 Panama 0 1000 t
  64. 18 Yemen 0 1000 t
  65. 18 Malawi 0 1000 t
  66. 18 Syrian Arab Republic 0 1000 t
  67. 18 Lebanon 0 1000 t
  68. 18 Serbia 0 1000 t compare
  69. 18 Slovenia 0 1000 t compare
  70. 18 Burkina Faso 0 1000 t
  71. 18 Nicaragua 0 1000 t
  72. 18 Jamaica 0 1000 t
  73. 18 Namibia 0 1000 t
  74. 18 Belize 0 1000 t
  75. 18 Polynesia 0 1000 t
  76. 18 France 0 1000 t compare
  77. 18 Bolivia (Plurinational State of) 0 1000 t compare
  78. 18 Zambia 0 1000 t
  79. 18 Madagascar 0 1000 t
  80. 18 Ghana 0 1000 t
  81. 18 Mozambique 0 1000 t
  82. 18 Democratic Republic of the Congo 0 1000 t
  83. 18 Morocco 0 1000 t compare
  84. 18 Cambodia 0 1000 t
  85. 18 New Zealand 0 1000 t
  86. 18 Cyprus 0 1000 t
  87. 18 Botswana 0 1000 t
  88. 18 Cameroon 0 1000 t
  89. 18 Myanmar 0 1000 t compare
  90. 18 China, Taiwan Province of 0 1000 t
  91. 18 Costa Rica 0 1000 t
  92. 18 Ecuador 0 1000 t
  93. 18 Senegal 0 1000 t compare
  94. 18 Zimbabwe 0 1000 t
  95. 18 Honduras 0 1000 t
  96. 18 Côte d'Ivoire 0 1000 t
  97. 18 Venezuela (Bolivarian Republic of) 0 1000 t
  98. 18 Republic of Korea 0 1000 t compare
  99. 18 Philippines 0 1000 t
  100. 18 Thailand 0 1000 t compare
  101. 18 Peru 0 1000 t
  102. 18 Nigeria 0 1000 t
  103. 18 Sri Lanka 0 1000 t
  104. 18 Uganda 0 1000 t
  105. 18 Guatemala 0 1000 t
  106. 18 Indonesia 0 1000 t
  107. 18 Colombia 0 1000 t
  108. 18 Egypt 0 1000 t
  109. 18 United Republic of Tanzania 0 1000 t
  110. 18 Melanesia 0 1000 t
  111. 18 Kenya 0 1000 t
  112. 18 Caribbean 0 1000 t
  113. 18 Nauru 0 1000 t
  114. 18 Vietnam 0 1000 t compare
  115. 18 Syria 0 1000 t
  116. 18 Cote d'Ivoire 0 1000 t

See the full ranking of 196 places →

More agriculture & rural data for Western Asia

All data for Western Asia →

Frequently asked questions

What is rape and mustardseed — stock variation in Western Asia?
Rape and mustardseed — stock variation in Western Asia was -16 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 Western Asia?
The highest recorded value was 141 1000 t in 2014.
What is the lowest rape and mustardseed — stock variation recorded in Western Asia?
The lowest recorded value was -226 1000 t in 2011.
How does Western Asia rank for rape and mustardseed — stock variation?
Western Asia ranks 20th out of 30 groups with data for 2023.
Is rape and mustardseed — stock variation rising or falling in Western Asia?
Over the last ten years it is up 90.1%. The long-run trend across the full record is volatile.
Where does this Western 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.

Download this data

CSV · JSON — 14 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).

Share, cite or embed this page

Cite this page

Rape and Mustardseed — Stock Variation in Western Asia. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 05 October 2026, from https://agriculture.statizoid.com/stat/rape-and-mustardseed-stock-variation-2/western-asia/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY-NC-SA 3.0 IGO (FAO); please keep the attribution.

<a href="https://agriculture.statizoid.com/stat/rape-and-mustardseed-stock-variation-2/western-asia/">Rape and Mustardseed — Stock Variation in Western Asia</a> — Statizoid

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
196 places, 2,532 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.