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Starchy Roots — Residuals in Central Asia

Central Asia: Starchy Roots — Residuals was 0 1000 t in 2023. ◆ Volatile

Latest (2023)
0 1000 t
Rank
4th
of 30 groups
All-time high
0 1000 t
in 2010
All-time low
-3 1000 t
in 2014
Years of data
14
2010–2023

Starchy Roots — Residuals in Central Asia, 2010–2023

-3-2-102010201620232010: 0 1000 t2011: 0 1000 t2012: 0 1000 t2013: 0 1000 t2014: -3 1000 t2015: 0 1000 t2016: 0 1000 t2017: 0 1000 t2018: 0 1000 t2019: 0 1000 t2020: 0 1000 t2021: 0 1000 t2022: 0 1000 t2023: 0 1000 t

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

Analysis

In 2023, starchy roots — residuals in Central Asia stood at 0 1000 t. That is the highest value across all 14 years on record.

Over the whole period, starchy roots — residuals in Central Asia peaked at 0 1000 t in 2010 and was at its lowest, -3 1000 t, in 2014.

Central Asia ranks 4th of 30 groups on this measure, in the top quarter.

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

Starchy Roots — Residuals in Central Asia, year by year

Year 1000 t Change
2010 0 1000 t —
2011 0 1000 t —
2012 0 1000 t —
2013 0 1000 t —
2014 -3 1000 t —
2015 0 1000 t -100.0%
2016 0 1000 t —
2017 0 1000 t —
2018 0 1000 t —
2019 0 1000 t —
2020 0 1000 t —
2021 0 1000 t —
2022 0 1000 t —
2023 0 1000 t —

Averages by decade

DecadeAverage LowestHighest Years
2010s -0.3 1000 t -3 1000 t 0 1000 t 10
2020s 0 1000 t 0 1000 t 0 1000 t 4

Countries ranked near Central Asia

  1. 1 Nigeria 9,514 1000 t compare
  2. 2 Lao People's Democratic Republic 1 1000 t compare
  3. 2 Armenia 1 1000 t compare
  4. 2 Laos 1 1000 t compare
  5. 5 Nauru 0 1000 t
  6. 5 Micronesia (Federated States of) 0 1000 t
  7. 5 Tuvalu 0 1000 t
  8. 5 Marshall Islands 0 1000 t
  9. 5 Tonga 0 1000 t compare
  10. 5 Bhutan 0 1000 t
  11. 5 Bahrain 0 1000 t
  12. 5 Qatar 0 1000 t
  13. 5 Cuba 0 1000 t
  14. 5 Democratic People's Republic of Korea 0 1000 t
  15. 5 Comoros 0 1000 t
  16. 5 Kiribati 0 1000 t
  17. 5 Timor-Leste 0 1000 t compare
  18. 5 China, Macao SAR 0 1000 t
  19. 5 Liberia 0 1000 t
  20. 5 Saint Kitts and Nevis 0 1000 t
  21. 5 Sao Tome and Principe 0 1000 t
  22. 5 Djibouti 0 1000 t
  23. 5 Samoa 0 1000 t
  24. 5 Micronesia 0 1000 t
  25. 5 Cabo Verde 0 1000 t
  26. 5 Saint Vincent and the Grenadines 0 1000 t
  27. 5 Grenada 0 1000 t
  28. 5 Suriname 0 1000 t compare
  29. 5 French Polynesia 0 1000 t
  30. 5 Gabon 0 1000 t
  31. 5 Vanuatu 0 1000 t
  32. 5 Barbados 0 1000 t
  33. 5 China, Hong Kong SAR 0 1000 t compare
  34. 5 Guyana 0 1000 t compare
  35. 5 Congo 0 1000 t
  36. 5 Libya 0 1000 t
  37. 5 Saint Lucia 0 1000 t
  38. 5 Iceland 0 1000 t
  39. 5 Kuwait 0 1000 t
  40. 5 Mongolia 0 1000 t
  41. 5 Seychelles 0 1000 t
  42. 5 Turkmenistan 0 1000 t
  43. 5 Haiti 0 1000 t compare
  44. 5 Dominican Republic 0 1000 t compare
  45. 5 Malaysia 0 1000 t compare
  46. 5 Jordan 0 1000 t compare
  47. 5 Mauritius 0 1000 t compare
  48. 5 Maldives 0 1000 t
  49. 5 Albania 0 1000 t compare
  50. 5 Trinidad and Tobago 0 1000 t
  51. 5 Panama 0 1000 t compare
  52. 5 Paraguay 0 1000 t
  53. 5 Papua New Guinea 0 1000 t
  54. 5 Antigua and Barbuda 0 1000 t
  55. 5 Cambodia 0 1000 t compare
  56. 5 Polynesia 0 1000 t compare
  57. 5 Guinea 0 1000 t compare
  58. 5 Argentina 0 1000 t
  59. 5 Philippines 0 1000 t compare
  60. 5 Iraq 0 1000 t
  61. 5 Jamaica 0 1000 t compare
  62. 5 El Salvador 0 1000 t
  63. 5 Nicaragua 0 1000 t compare
  64. 5 Oman 0 1000 t
  65. 5 Finland 0 1000 t compare
  66. 5 Iran (Islamic Republic of) 0 1000 t compare
  67. 5 Israel 0 1000 t
  68. 5 Lebanon 0 1000 t
  69. 5 Malta 0 1000 t
  70. 5 Gambia 0 1000 t
  71. 5 Venezuela (Bolivarian Republic of) 0 1000 t compare
  72. 5 Lesotho 0 1000 t
  73. 5 Angola 0 1000 t
  74. 5 Algeria 0 1000 t
  75. 5 Eswatini 0 1000 t
  76. 5 Mauritania 0 1000 t
  77. 5 Belarus 0 1000 t compare
  78. 5 Norway 0 1000 t compare
  79. 5 Ireland 0 1000 t compare
  80. 5 Georgia 0 1000 t
  81. 5 Chile 0 1000 t
  82. 5 Denmark 0 1000 t compare
  83. 5 Belize 0 1000 t
  84. 5 Belgium 0 1000 t compare
  85. 5 Croatia 0 1000 t
  86. 5 Azerbaijan 0 1000 t
  87. 5 Montenegro 0 1000 t
  88. 5 New Caledonia 0 1000 t compare
  89. 5 Bosnia and Herzegovina 0 1000 t
  90. 5 Estonia 0 1000 t
  91. 5 Syrian Arab Republic 0 1000 t compare
  92. 5 Brazil 0 1000 t compare
  93. 5 Luxembourg 0 1000 t
  94. 5 Burkina Faso 0 1000 t compare
  95. 5 Tajikistan 0 1000 t compare
  96. 5 New Zealand 0 1000 t compare
  97. 5 North Macedonia 0 1000 t
  98. 5 Kyrgyzstan 0 1000 t
  99. 5 Lithuania 0 1000 t compare
  100. 5 Uruguay 0 1000 t
  101. 5 Saudi Arabia 0 1000 t compare
  102. 5 Thailand 0 1000 t compare
  103. 5 Poland 0 1000 t compare
  104. 5 Canada 0 1000 t compare
  105. 5 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
  106. 5 Serbia 0 1000 t
  107. 5 Peru 0 1000 t
  108. 5 Republic of Moldova 0 1000 t
  109. 5 Tunisia 0 1000 t compare
  110. 5 Niger 0 1000 t
  111. 5 Ghana 0 1000 t compare
  112. 5 Türkiye 0 1000 t compare
  113. 5 Namibia 0 1000 t
  114. 5 Italy 0 1000 t
  115. 5 Slovenia 0 1000 t compare
  116. 5 Greece 0 1000 t
  117. 5 Austria 0 1000 t compare
  118. 5 Guatemala 0 1000 t compare
  119. 5 Mexico 0 1000 t compare
  120. 5 Bolivia (Plurinational State of) 0 1000 t
  121. 5 Slovakia 0 1000 t compare
  122. 5 Hungary 0 1000 t
  123. 5 Uzbekistan 0 1000 t
  124. 5 Pakistan 0 1000 t
  125. 5 Botswana 0 1000 t
  126. 5 Yemen 0 1000 t compare
  127. 5 Sri Lanka 0 1000 t compare
  128. 5 Australia 0 1000 t
  129. 5 Senegal 0 1000 t
  130. 5 Romania 0 1000 t
  131. 5 Rwanda 0 1000 t compare
  132. 5 Germany 0 1000 t compare
  133. 5 Switzerland 0 1000 t
  134. 5 Uganda 0 1000 t compare
  135. 5 United Republic of Tanzania 0 1000 t compare
  136. 5 Zimbabwe 0 1000 t
  137. 5 Nepal 0 1000 t
  138. 5 Morocco 0 1000 t compare
  139. 5 Kazakhstan 0 1000 t
  140. 5 Australia and New Zealand 0 1000 t compare
  141. 5 Ukraine 0 1000 t compare
  142. 5 Nauru 0 1000 t
  143. 5 East Timor 0 1000 t compare
  144. 5 Syria 0 1000 t compare
  145. 5 United Kingdom 0 1000 t compare
  146. 5 Moldova 0 1000 t
  147. 5 Turkey 0 1000 t compare
  148. 5 United States 0 1000 t

See the full ranking of 224 places →

More agriculture & rural data for Central Asia

All data for Central Asia →

Frequently asked questions

What is starchy roots — residuals in Central Asia?
Starchy roots — residuals in Central Asia was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest starchy roots — residuals recorded in Central Asia?
The highest recorded value was 0 1000 t in 2010.
What is the lowest starchy roots — residuals recorded in Central Asia?
The lowest recorded value was -3 1000 t in 2014.
How does Central Asia rank for starchy roots — residuals?
Central Asia ranks 4th out of 30 groups with data for 2023.
Where does this Central Asia data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Starchy Roots — Residuals. Statizoid updates them automatically from the source API.

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Starchy Roots — Residuals in Central Asia. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 01 October 2026, from https://agriculture.statizoid.com/stat/starchy-roots-residuals/central-asia/

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About this data

Indicator
Starchy Roots — Residuals
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
224 places, 3,046 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.