Olives (including preserved) — Stock Variation in South America

South America: Olives (including preserved) — Stock Variation was -9 1000 t in 2023. ◆ Volatile

Latest (2023)
-9 1000 t
Change on year
down 169.2%
Rank
23rd
of 29 groups
All-time high
119 1000 t
in 2014
All-time low
-51 1000 t
in 2013
Years of data
14
2010–2023

Olives (including preserved) — Stock Variation in South America, 2010–2023

-500501002010201620232010: -23 1000 t2011: -28 1000 t2012: -5 1000 t2013: -51 1000 t2014: 119 1000 t2015: -21 1000 t2016: -42 1000 t2017: 33 1000 t2018: 116 1000 t2019: 52 1000 t2020: 3 1000 t2021: 5 1000 t2022: 13 1000 t2023: -9 1000 t

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

Analysis

The most recent figure for olives (including preserved) — stock variation in South America is -9 1000 t, measured in 2023.

That represents a change of down 169.2% on the previous year and up 82.4% over ten years.

Over the whole period, olives (including preserved) — stock variation in South America peaked at 119 1000 t in 2014 and was at its lowest, -51 1000 t, in 2013.

That places South America 23rd 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.

Olives (including preserved) — Stock Variation in South America, year by year

Annual values for Olives (including preserved) — Stock Variation in South America, 2010 to 2023.
Year 1000 t Change
2010 -23 1000 t
2011 -28 1000 t +21.7%
2012 -5 1000 t -82.1%
2013 -51 1000 t +920.0%
2014 119 1000 t -333.3%
2015 -21 1000 t -117.6%
2016 -42 1000 t +100.0%
2017 33 1000 t -178.6%
2018 116 1000 t +251.5%
2019 52 1000 t -55.2%
2020 3 1000 t -94.2%
2021 5 1000 t +66.7%
2022 13 1000 t +160.0%
2023 -9 1000 t -169.2%

Averages by decade

DecadeAverage LowestHighest Years
2010s 15 1000 t -51 1000 t 119 1000 t 10
2020s 3 1000 t -9 1000 t 13 1000 t 4

Countries ranked near South America

  1. 24 Naoero 0 1000 t
  2. 24 Tonga 0 1000 t
  3. 24 Marshall Islands 0 1000 t
  4. 24 Qatar 0 1000 t
  5. 24 Bhutan 0 1000 t
  6. 24 Bahrain 0 1000 t
  7. 24 Cuba 0 1000 t
  8. 24 Comoros 0 1000 t
  9. 24 Sao Tome and Principe 0 1000 t
  10. 24 China, Macao SAR 0 1000 t
  11. 24 Tajikistan 0 1000 t
  12. 24 Mongolia 0 1000 t
  13. 24 Mauritania 0 1000 t
  14. 24 Solomon Islands 0 1000 t
  15. 24 Vanuatu 0 1000 t
  16. 24 Saint Vincent and the Grenadines 0 1000 t
  17. 24 Iceland 0 1000 t
  18. 24 Seychelles 0 1000 t
  19. 24 French Polynesia 0 1000 t
  20. 24 Montenegro 0 1000 t compare
  21. 24 Kuwait 0 1000 t compare
  22. 24 Bahamas 0 1000 t
  23. 24 Grenada 0 1000 t
  24. 24 Suriname 0 1000 t
  25. 24 Estonia 0 1000 t compare
  26. 24 Jordan 0 1000 t compare
  27. 24 Georgia 0 1000 t
  28. 24 Saint Lucia 0 1000 t
  29. 24 Kyrgyzstan 0 1000 t
  30. 24 Azerbaijan 0 1000 t
  31. 24 Sierra Leone 0 1000 t
  32. 24 Samoa 0 1000 t
  33. 24 Gambia 0 1000 t
  34. 24 Bosnia and Herzegovina 0 1000 t
  35. 24 Barbados 0 1000 t
  36. 24 Maldives 0 1000 t
  37. 24 Finland 0 1000 t compare
  38. 24 Guyana 0 1000 t
  39. 24 Antigua and Barbuda 0 1000 t
  40. 24 Luxembourg 0 1000 t compare
  41. 24 Gabon 0 1000 t
  42. 24 Argentina 0 1000 t compare
  43. 24 Iraq 0 1000 t
  44. 24 Oman 0 1000 t compare
  45. 24 China, Hong Kong SAR 0 1000 t
  46. 24 Tunisia 0 1000 t compare
  47. 24 Belarus 0 1000 t compare
  48. 24 Angola 0 1000 t compare
  49. 24 Belgium 0 1000 t compare
  50. 24 Congo 0 1000 t
  51. 24 Croatia 0 1000 t compare
  52. 24 Chile 0 1000 t compare
  53. 24 Eswatini 0 1000 t
  54. 24 New Caledonia 0 1000 t
  55. 24 Mauritius 0 1000 t
  56. 24 Haiti 0 1000 t
  57. 24 Israel 0 1000 t compare
  58. 24 Paraguay 0 1000 t
  59. 24 Guinea 0 1000 t
  60. 24 Saudi Arabia 0 1000 t compare
  61. 24 Uruguay 0 1000 t
  62. 24 Malta 0 1000 t
  63. 24 Trinidad and Tobago 0 1000 t
  64. 24 Papua New Guinea 0 1000 t
  65. 24 Slovakia 0 1000 t compare
  66. 24 Niger 0 1000 t
  67. 24 Poland 0 1000 t compare
  68. 24 El Salvador 0 1000 t compare
  69. 24 Dominican Republic 0 1000 t
  70. 24 Fiji 0 1000 t
  71. 24 Panama 0 1000 t compare
  72. 24 Serbia 0 1000 t
  73. 24 Namibia 0 1000 t
  74. 24 Bulgaria 0 1000 t compare
  75. 24 Romania 0 1000 t compare
  76. 24 Belize 0 1000 t
  77. 24 Lebanon 0 1000 t compare
  78. 24 Malaysia 0 1000 t
  79. 24 Jamaica 0 1000 t
  80. 24 Rwanda 0 1000 t
  81. 24 Yemen 0 1000 t compare
  82. 24 Canada 0 1000 t compare
  83. 24 France 0 1000 t
  84. 24 Malawi 0 1000 t
  85. 24 Netherlands (Kingdom of the) 0 1000 t compare
  86. 24 Greece 0 1000 t compare
  87. 24 Burkina Faso 0 1000 t
  88. 24 Ukraine 0 1000 t compare
  89. 24 Austria 0 1000 t compare
  90. 24 Nicaragua 0 1000 t
  91. 24 Madagascar 0 1000 t
  92. 24 Zambia 0 1000 t
  93. 24 Mozambique 0 1000 t
  94. 24 New Zealand 0 1000 t compare
  95. 24 Australia 0 1000 t
  96. 24 Botswana 0 1000 t
  97. 24 Ghana 0 1000 t
  98. 24 Cyprus 0 1000 t
  99. 24 Kazakhstan 0 1000 t compare
  100. 24 Myanmar 0 1000 t
  101. 24 Cambodia 0 1000 t
  102. 24 Zimbabwe 0 1000 t
  103. 24 Bangladesh 0 1000 t
  104. 24 South Africa 0 1000 t compare
  105. 24 Honduras 0 1000 t
  106. 24 Costa Rica 0 1000 t
  107. 24 Senegal 0 1000 t
  108. 24 Cameroon 0 1000 t
  109. 24 Republic of Korea 0 1000 t compare
  110. 24 Ecuador 0 1000 t
  111. 24 Russian Federation 0 1000 t compare
  112. 24 Ethiopia 0 1000 t
  113. 24 Philippines 0 1000 t
  114. 24 Peru 0 1000 t compare
  115. 24 Pakistan 0 1000 t
  116. 24 Thailand 0 1000 t
  117. 24 India 0 1000 t compare
  118. 24 Nigeria 0 1000 t
  119. 24 Uganda 0 1000 t
  120. 24 Sri Lanka 0 1000 t
  121. 24 China, mainland 0 1000 t
  122. 24 Indonesia 0 1000 t
  123. 24 Guatemala 0 1000 t
  124. 24 Mexico 0 1000 t compare
  125. 24 Egypt 0 1000 t compare
  126. 24 Colombia 0 1000 t compare
  127. 24 Australia and New Zealand 0 1000 t compare
  128. 24 Nepal 0 1000 t
  129. 24 Kenya 0 1000 t

See the full ranking of 200 places →

More agriculture & rural data for South America

All data for South America →

Frequently asked questions

What is olives (including preserved) — stock variation in South America?
Olives (including preserved) — stock variation in South America was -9 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest olives (including preserved) — stock variation recorded in South America?
The highest recorded value was 119 1000 t in 2014.
What is the lowest olives (including preserved) — stock variation recorded in South America?
The lowest recorded value was -51 1000 t in 2013.
How does South America rank for olives (including preserved) — stock variation?
South America ranks 23rd out of 29 groups with data for 2023.
Is olives (including preserved) — stock variation rising or falling in South America?
Over the last ten years it is up 82.4%. The long-run trend across the full record is volatile.
Where does this South America data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Olives (including preserved) — Stock Variation. Statizoid updates them automatically from the source API.

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Olives (including preserved) — Stock Variation in South America. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 24 August 2026, from https://agriculture.statizoid.com/stat/olives-including-preserved-stock-variation/south-america/

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About this data

Indicator
Olives (including preserved) — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
200 places, 2,655 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.