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Oranges, Mandarines — Stock Variation in Indonesia

Indonesia: Oranges, Mandarines — Stock Variation was 0 1000 t in 2023. ◆ Volatile

Latest (2023)
0 1000 t
World rank
38th
of 173 countries
All-time high
32 1000 t
in 2016
All-time low
-5 1000 t
in 2010
Years of data
14
2010–2023

Oranges, Mandarines — Stock Variation in Indonesia, 2010–2023

-1001020302010201620232010: -5 1000 t2011: -2 1000 t2012: -1 1000 t2013: 7 1000 t2014: 24 1000 t2015: 9 1000 t2016: 32 1000 t2017: 26 1000 t2018: 0 1000 t2019: 1 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

The most recent figure for oranges, mandarines — stock variation in Indonesia is 0 1000 t, measured in 2023.

Compared with earlier readings it is down 100.0% over ten years.

Over the whole period, oranges, mandarines — stock variation in Indonesia peaked at 32 1000 t in 2016 and was at its lowest, -5 1000 t, in 2010.

That places Indonesia 38th out of 173 countries 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 9.1 1000 t -5 1000 t 32 1000 t 10
2020s 0 1000 t 0 1000 t 0 1000 t 4

Countries ranked near Indonesia

  1. 38 Tuvalu 0 1000 t compare
  2. 38 Nauru 0 1000 t compare
  3. 38 Tonga 0 1000 t compare
  4. 38 Marshall Islands 0 1000 t compare
  5. 38 Bhutan 0 1000 t compare
  6. 38 Qatar 0 1000 t compare
  7. 38 Democratic People's Republic of Korea 0 1000 t compare
  8. 38 Cuba 0 1000 t compare
  9. 38 Kiribati 0 1000 t compare
  10. 38 Comoros 0 1000 t compare
  11. 38 Sao Tome and Principe 0 1000 t compare
  12. 38 Micronesia 0 1000 t compare
  13. 38 Liberia 0 1000 t compare
  14. 38 Mauritania 0 1000 t compare
  15. 38 China, Macao SAR 0 1000 t compare
  16. 38 Tajikistan 0 1000 t compare
  17. 38 Mongolia 0 1000 t compare
  18. 38 Saint Kitts and Nevis 0 1000 t compare
  19. 38 Solomon Islands 0 1000 t compare
  20. 38 Vanuatu 0 1000 t compare
  21. 38 Albania 0 1000 t compare
  22. 38 Saint Vincent and the Grenadines 0 1000 t compare
  23. 38 Suriname 0 1000 t compare
  24. 38 Gambia 0 1000 t compare
  25. 38 Sierra Leone 0 1000 t compare
  26. 38 Cabo Verde 0 1000 t compare
  27. 38 Montenegro 0 1000 t compare
  28. 38 Maldives 0 1000 t compare
  29. 38 Grenada 0 1000 t compare
  30. 38 French Polynesia 0 1000 t compare
  31. 38 Iceland 0 1000 t compare
  32. 38 Armenia 0 1000 t compare
  33. 38 Saint Lucia 0 1000 t compare
  34. 38 Seychelles 0 1000 t compare
  35. 38 Samoa 0 1000 t compare
  36. 38 Guyana 0 1000 t compare
  37. 38 Estonia 0 1000 t compare
  38. 38 Georgia 0 1000 t compare
  39. 38 Kyrgyzstan 0 1000 t compare
  40. 38 Lithuania 0 1000 t compare
  41. 38 Bosnia and Herzegovina 0 1000 t compare
  42. 38 Gabon 0 1000 t compare
  43. 38 Eswatini 0 1000 t compare
  44. 38 New Caledonia 0 1000 t compare
  45. 38 Haiti 0 1000 t compare
  46. 38 North Macedonia 0 1000 t compare
  47. 38 Republic of Moldova 0 1000 t compare
  48. 38 Guinea 0 1000 t compare
  49. 38 Congo 0 1000 t compare
  50. 38 Azerbaijan 0 1000 t compare
  51. 38 Paraguay 0 1000 t compare
  52. 38 Algeria 0 1000 t compare
  53. 38 Antigua and Barbuda 0 1000 t compare
  54. 38 Oman 0 1000 t compare
  55. 38 Uruguay 0 1000 t compare
  56. 38 Angola 0 1000 t compare
  57. 38 Papua New Guinea 0 1000 t compare
  58. 38 Barbados 0 1000 t compare
  59. 38 Luxembourg 0 1000 t compare
  60. 38 Latvia 0 1000 t compare
  61. 38 Ireland 0 1000 t compare
  62. 38 Belarus 0 1000 t compare
  63. 38 Tunisia 0 1000 t compare
  64. 38 Niger 0 1000 t compare
  65. 38 Argentina 0 1000 t compare
  66. 38 Iraq 0 1000 t compare
  67. 38 Namibia 0 1000 t compare
  68. 38 Saudi Arabia 0 1000 t compare
  69. 38 Viet Nam 0 1000 t compare
  70. 38 Jamaica 0 1000 t compare
  71. 38 Serbia 0 1000 t compare
  72. 38 Burkina Faso 0 1000 t compare
  73. 38 Belize 0 1000 t compare
  74. 38 Belgium 0 1000 t compare
  75. 38 Netherlands (Kingdom of the) 0 1000 t compare
  76. 38 Panama 0 1000 t compare
  77. 38 Mauritius 0 1000 t compare
  78. 38 China, Hong Kong SAR 0 1000 t compare
  79. 38 Rwanda 0 1000 t compare
  80. 38 Nicaragua 0 1000 t compare
  81. 38 Poland 0 1000 t compare
  82. 38 Denmark 0 1000 t compare
  83. 38 Malta 0 1000 t compare
  84. 38 Switzerland 0 1000 t compare
  85. 38 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
  86. 38 Yemen 0 1000 t compare
  87. 38 Malawi 0 1000 t compare
  88. 38 Lebanon 0 1000 t compare
  89. 38 Fiji 0 1000 t compare
  90. 38 Zambia 0 1000 t compare
  91. 38 Malaysia 0 1000 t compare
  92. 38 Madagascar 0 1000 t compare
  93. 38 Canada 0 1000 t compare
  94. 38 France 0 1000 t compare
  95. 38 Türkiye 0 1000 t compare
  96. 38 Polynesia 0 1000 t compare
  97. 38 Bolivia (Plurinational State of) 0 1000 t compare
  98. 38 Sweden 0 1000 t compare
  99. 38 Syrian Arab Republic 0 1000 t compare
  100. 38 Russian Federation 0 1000 t compare
  101. 38 Ecuador 0 1000 t compare
  102. 38 Mozambique 0 1000 t compare
  103. 38 Myanmar 0 1000 t compare
  104. 38 Hungary 0 1000 t compare
  105. 38 Venezuela (Bolivarian Republic of) 0 1000 t compare
  106. 38 Australia 0 1000 t compare
  107. 38 Cyprus 0 1000 t compare
  108. 38 Morocco 0 1000 t compare
  109. 38 Zimbabwe 0 1000 t compare
  110. 38 Botswana 0 1000 t compare
  111. 38 Kazakhstan 0 1000 t compare
  112. 38 Cameroon 0 1000 t compare
  113. 38 Germany 0 1000 t compare
  114. 38 Italy 0 1000 t compare
  115. 38 Senegal 0 1000 t compare
  116. 38 Ethiopia 0 1000 t compare
  117. 38 Cambodia 0 1000 t compare
  118. 38 Costa Rica 0 1000 t compare
  119. 38 Spain 0 1000 t compare
  120. 38 Philippines 0 1000 t compare
  121. 38 Pakistan 0 1000 t compare
  122. 38 Peru 0 1000 t compare
  123. 38 Uganda 0 1000 t compare
  124. 38 Sri Lanka 0 1000 t compare
  125. 38 India 0 1000 t compare
  126. 38 Guatemala 0 1000 t compare
  127. 38 United Republic of Tanzania 0 1000 t compare
  128. 38 Colombia 0 1000 t compare
  129. 38 Kenya 0 1000 t compare
  130. 38 Nepal 0 1000 t compare
  131. 38 Melanesia 0 1000 t compare

See the full ranking of 204 places →

More agriculture & rural data for Indonesia

All data for Indonesia →

Frequently asked questions

What is oranges, mandarines — stock variation in Indonesia?
Oranges, mandarines — stock variation in Indonesia was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest oranges, mandarines — stock variation recorded in Indonesia?
The highest recorded value was 32 1000 t in 2016.
What is the lowest oranges, mandarines — stock variation recorded in Indonesia?
The lowest recorded value was -5 1000 t in 2010.
How does Indonesia rank for oranges, mandarines — stock variation?
Indonesia ranks 38th out of 173 countries with data for 2023.
Is oranges, mandarines — stock variation rising or falling in Indonesia?
Over the last ten years it is down 100.0%. The long-run trend across the full record is volatile.
Where does this Indonesia data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Oranges, Mandarines — Stock Variation. Statizoid updates them automatically from the source API.

Download this data

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About this data

Indicator
Oranges, Mandarines — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
204 places, 2,728 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.