Tomatoes and products — Stock Variation in Western Asia

Western Asia: Tomatoes and products — Stock Variation was -4 1000 t in 2023. ◆ Volatile

Latest (2023)
-4 1000 t
Rank
28th
of 29 groups
All-time high
32 1000 t
in 2015
All-time low
-36 1000 t
in 2010
Years of data
14
2010–2023

Tomatoes and products — Stock Variation in Western Asia, 2010–2023

-40-20020402010201620232010: -36 1000 t2011: 18 1000 t2012: -15 1000 t2013: -21 1000 t2014: 16 1000 t2015: 32 1000 t2016: 19 1000 t2017: 1 1000 t2018: 8 1000 t2019: 1 1000 t2020: 2 1000 t2021: 20 1000 t2022: 0 1000 t2023: -4 1000 t

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

Analysis

In 2023, tomatoes and products — stock variation in Western Asia stood at -4 1000 t.

Compared with earlier readings it is up 81.0% over ten years.

Over the whole period, tomatoes and products — stock variation in Western Asia peaked at 32 1000 t in 2015 and was at its lowest, -36 1000 t, in 2010.

That places Western Asia 28th out of 29 groups with data for 2023, putting it in the bottom quarter.

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

Tomatoes and products — Stock Variation in Western Asia, year by year

Annual values for Tomatoes and products — Stock Variation in Western Asia, 2010 to 2023.
Year 1000 t Change
2010 -36 1000 t
2011 18 1000 t -150.0%
2012 -15 1000 t -183.3%
2013 -21 1000 t +40.0%
2014 16 1000 t -176.2%
2015 32 1000 t +100.0%
2016 19 1000 t -40.6%
2017 1 1000 t -94.7%
2018 8 1000 t +700.0%
2019 1 1000 t -87.5%
2020 2 1000 t +100.0%
2021 20 1000 t +900.0%
2022 0 1000 t -100.0%
2023 -4 1000 t

Averages by decade

DecadeAverage LowestHighest Years
2010s 2.3 1000 t -36 1000 t 32 1000 t 10
2020s 4.5 1000 t -4 1000 t 20 1000 t 4

Countries ranked near Western Asia

  1. 29 Tuvalu 0 1000 t
  2. 29 Naoero 0 1000 t
  3. 29 Tonga 0 1000 t
  4. 29 Marshall Islands 0 1000 t
  5. 29 Bhutan 0 1000 t
  6. 29 Qatar 0 1000 t compare
  7. 29 Bahrain 0 1000 t compare
  8. 29 Cuba 0 1000 t
  9. 29 Kiribati 0 1000 t
  10. 29 Comoros 0 1000 t
  11. 29 Djibouti 0 1000 t
  12. 29 Sao Tome and Principe 0 1000 t
  13. 29 Tajikistan 0 1000 t
  14. 29 Mauritania 0 1000 t compare
  15. 29 China, Macao SAR 0 1000 t
  16. 29 Saint Kitts and Nevis 0 1000 t
  17. 29 Mongolia 0 1000 t compare
  18. 29 Solomon Islands 0 1000 t
  19. 29 Albania 0 1000 t compare
  20. 29 Vanuatu 0 1000 t
  21. 29 Saint Vincent and the Grenadines 0 1000 t
  22. 29 Libya 0 1000 t
  23. 29 Suriname 0 1000 t
  24. 29 French Polynesia 0 1000 t
  25. 29 Grenada 0 1000 t
  26. 29 Maldives 0 1000 t
  27. 29 Sierra Leone 0 1000 t
  28. 29 Armenia 0 1000 t
  29. 29 Iceland 0 1000 t
  30. 29 Saint Lucia 0 1000 t
  31. 29 Gambia 0 1000 t compare
  32. 29 Seychelles 0 1000 t
  33. 29 Samoa 0 1000 t
  34. 29 Guyana 0 1000 t
  35. 29 Georgia 0 1000 t
  36. 29 Uzbekistan 0 1000 t compare
  37. 29 Kyrgyzstan 0 1000 t
  38. 29 Bosnia and Herzegovina 0 1000 t compare
  39. 29 Bahamas 0 1000 t
  40. 29 Gabon 0 1000 t compare
  41. 29 Jordan 0 1000 t
  42. 29 Haiti 0 1000 t
  43. 29 North Macedonia 0 1000 t compare
  44. 29 Eswatini 0 1000 t
  45. 29 New Caledonia 0 1000 t
  46. 29 Finland 0 1000 t compare
  47. 29 Antigua and Barbuda 0 1000 t
  48. 29 Azerbaijan 0 1000 t
  49. 29 Congo 0 1000 t compare
  50. 29 Guinea 0 1000 t
  51. 29 Oman 0 1000 t compare
  52. 29 Algeria 0 1000 t compare
  53. 29 Paraguay 0 1000 t
  54. 29 Barbados 0 1000 t
  55. 29 Uruguay 0 1000 t compare
  56. 29 Luxembourg 0 1000 t compare
  57. 29 Angola 0 1000 t compare
  58. 29 Tunisia 0 1000 t compare
  59. 29 Belarus 0 1000 t compare
  60. 29 Papua New Guinea 0 1000 t
  61. 29 Croatia 0 1000 t compare
  62. 29 Niger 0 1000 t
  63. 29 Iraq 0 1000 t
  64. 29 Argentina 0 1000 t compare
  65. 29 Chile 0 1000 t compare
  66. 29 Jamaica 0 1000 t compare
  67. 29 Namibia 0 1000 t compare
  68. 29 Serbia 0 1000 t
  69. 29 Belgium 0 1000 t compare
  70. 29 Belize 0 1000 t
  71. 29 Netherlands (Kingdom of the) 0 1000 t compare
  72. 29 Mauritius 0 1000 t compare
  73. 29 Bulgaria 0 1000 t compare
  74. 29 Panama 0 1000 t compare
  75. 29 Israel 0 1000 t compare
  76. 29 Portugal 0 1000 t compare
  77. 29 Rwanda 0 1000 t
  78. 29 Romania 0 1000 t compare
  79. 29 Malta 0 1000 t compare
  80. 29 Trinidad and Tobago 0 1000 t
  81. 29 Nicaragua 0 1000 t
  82. 29 Poland 0 1000 t compare
  83. 29 El Salvador 0 1000 t compare
  84. 29 Burkina Faso 0 1000 t
  85. 29 Denmark 0 1000 t compare
  86. 29 Switzerland 0 1000 t compare
  87. 29 Lebanon 0 1000 t
  88. 29 Fiji 0 1000 t compare
  89. 29 Yemen 0 1000 t
  90. 29 Malawi 0 1000 t
  91. 29 New Zealand 0 1000 t compare
  92. 29 Zambia 0 1000 t
  93. 29 Madagascar 0 1000 t
  94. 29 Malaysia 0 1000 t compare
  95. 29 France 0 1000 t compare
  96. 29 Hungary 0 1000 t compare
  97. 29 Russian Federation 0 1000 t compare
  98. 29 Cyprus 0 1000 t
  99. 29 Ecuador 0 1000 t
  100. 29 China, Taiwan Province of 0 1000 t compare
  101. 29 Mozambique 0 1000 t
  102. 29 Ghana 0 1000 t compare
  103. 29 Australia 0 1000 t compare
  104. 29 Morocco 0 1000 t compare
  105. 29 Myanmar 0 1000 t
  106. 29 Botswana 0 1000 t
  107. 29 Honduras 0 1000 t
  108. 29 Cameroon 0 1000 t
  109. 29 Italy 0 1000 t compare
  110. 29 Senegal 0 1000 t
  111. 29 Costa Rica 0 1000 t compare
  112. 29 Cambodia 0 1000 t
  113. 29 Ethiopia 0 1000 t compare
  114. 29 Bangladesh 0 1000 t
  115. 29 Spain 0 1000 t compare
  116. 29 Republic of Korea 0 1000 t compare
  117. 29 Philippines 0 1000 t compare
  118. 29 Pakistan 0 1000 t
  119. 29 Peru 0 1000 t
  120. 29 Nigeria 0 1000 t
  121. 29 Uganda 0 1000 t
  122. 29 Sri Lanka 0 1000 t
  123. 29 Egypt 0 1000 t compare
  124. 29 Guatemala 0 1000 t
  125. 29 Mexico 0 1000 t compare
  126. 29 Australia and New Zealand 0 1000 t compare
  127. 29 Kenya 0 1000 t compare
  128. 29 Nepal 0 1000 t compare

See the full ranking of 205 places →

More agriculture & rural data for Western Asia

All data for Western Asia →

Frequently asked questions

What is tomatoes and products — stock variation in Western Asia?
Tomatoes and products — stock variation in Western Asia was -4 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest tomatoes and products — stock variation recorded in Western Asia?
The highest recorded value was 32 1000 t in 2015.
What is the lowest tomatoes and products — stock variation recorded in Western Asia?
The lowest recorded value was -36 1000 t in 2010.
How does Western Asia rank for tomatoes and products — stock variation?
Western Asia ranks 28th out of 29 groups with data for 2023.
Is tomatoes and products — stock variation rising or falling in Western Asia?
Over the last ten years it is up 81.0%. 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 Tomatoes and products — Stock Variation. Statizoid updates them automatically from the source API.

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Tomatoes and products — Stock Variation in Western Asia. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 24 August 2026, from https://agriculture.statizoid.com/stat/tomatoes-and-products-stock-variation/western-asia/

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About this data

Indicator
Tomatoes and products — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
205 places, 2,751 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.