Statizoid

Aquatic Animals, Others — Import quantity in Timor-Leste

Timor-Leste: Aquatic Animals, Others — Import quantity was 0 1000 t in 2017. ▬ Flat

Latest (2017)
0 1000 t
World rank
22nd
of 169 countries
All-time high
0 1000 t
in 2010
All-time low
0 1000 t
in 2010
Years of data
8
2010–2017

Aquatic Animals, Others — Import quantity in Timor-Leste, 2010–2017

00.20.40.60.812010201320172010: 0 1000 t2011: 0 1000 t2012: 0 1000 t2013: 0 1000 t2014: 0 1000 t2015: 0 1000 t2016: 0 1000 t2017: 0 1000 t

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

Analysis

Timor-Leste recorded 0 1000 t for aquatic animals, others — import quantity in 2017. That is the highest value across all 8 years on record.

Timor-Leste ranks 22nd of 169 countries on this measure, in the top quarter.

Countries ranked near Timor-Leste

  1. 22 Marshall Islands 0 1000 t
  2. 22 Tonga 0 1000 t
  3. 22 Qatar 0 1000 t
  4. 22 Bahrain 0 1000 t
  5. 22 Democratic People's Republic of Korea 0 1000 t compare
  6. 22 Cuba 0 1000 t compare
  7. 22 Turkmenistan 0 1000 t compare
  8. 22 Lesotho 0 1000 t compare
  9. 22 Guinea-Bissau 0 1000 t compare
  10. 22 Kiribati 0 1000 t compare
  11. 22 Djibouti 0 1000 t compare
  12. 22 Tajikistan 0 1000 t compare
  13. 22 Liberia 0 1000 t compare
  14. 22 Micronesia 0 1000 t compare
  15. 22 Mauritania 0 1000 t compare
  16. 22 Libya 0 1000 t compare
  17. 22 Sierra Leone 0 1000 t
  18. 22 Mongolia 0 1000 t compare
  19. 22 Lao People's Democratic Republic 0 1000 t compare
  20. 22 Montenegro 0 1000 t compare
  21. 22 Solomon Islands 0 1000 t compare
  22. 22 Armenia 0 1000 t compare
  23. 22 Albania 0 1000 t compare
  24. 22 Uzbekistan 0 1000 t compare
  25. 22 Kuwait 0 1000 t compare
  26. 22 Haiti 0 1000 t compare
  27. 22 Eswatini 0 1000 t compare
  28. 22 Gabon 0 1000 t compare
  29. 22 Guinea 0 1000 t compare
  30. 22 Maldives 0 1000 t compare
  31. 22 Iraq 0 1000 t compare
  32. 22 Kyrgyzstan 0 1000 t
  33. 22 Vanuatu 0 1000 t compare
  34. 22 Niger 0 1000 t
  35. 22 Papua New Guinea 0 1000 t compare
  36. 22 Samoa 0 1000 t compare
  37. 22 Angola 0 1000 t compare
  38. 22 Grenada 0 1000 t
  39. 22 Azerbaijan 0 1000 t compare
  40. 22 Burkina Faso 0 1000 t
  41. 22 French Polynesia 0 1000 t compare
  42. 22 Republic of Moldova 0 1000 t compare
  43. 22 Congo 0 1000 t compare
  44. 22 Paraguay 0 1000 t compare
  45. 22 Jordan 0 1000 t compare
  46. 22 Cabo Verde 0 1000 t compare
  47. 22 North Macedonia 0 1000 t compare
  48. 22 Algeria 0 1000 t compare
  49. 22 Georgia 0 1000 t compare
  50. 22 Bosnia and Herzegovina 0 1000 t compare
  51. 22 Guyana 0 1000 t
  52. 22 Saint Lucia 0 1000 t
  53. 22 Luxembourg 0 1000 t compare
  54. 22 New Caledonia 0 1000 t compare
  55. 22 Rwanda 0 1000 t
  56. 22 Viet Nam 0 1000 t compare
  57. 22 Slovakia 0 1000 t compare
  58. 22 Serbia 0 1000 t compare
  59. 22 Yemen 0 1000 t
  60. 22 Uruguay 0 1000 t compare
  61. 22 Oman 0 1000 t compare
  62. 22 Seychelles 0 1000 t compare
  63. 22 Ukraine 0 1000 t compare
  64. 22 Israel 0 1000 t compare
  65. 22 Czechia 0 1000 t compare
  66. 22 Malawi 0 1000 t
  67. 22 Iceland 0 1000 t compare
  68. 22 Barbados 0 1000 t
  69. 22 Croatia 0 1000 t compare
  70. 22 Democratic Republic of the Congo 0 1000 t compare
  71. 22 Tunisia 0 1000 t compare
  72. 22 Namibia 0 1000 t compare
  73. 22 Estonia 0 1000 t compare
  74. 22 Bahamas 0 1000 t compare
  75. 22 Nicaragua 0 1000 t compare
  76. 22 Argentina 0 1000 t compare
  77. 22 Iran (Islamic Republic of) 0 1000 t compare
  78. 22 Zambia 0 1000 t compare
  79. 22 Lithuania 0 1000 t compare
  80. 22 Finland 0 1000 t compare
  81. 22 Syrian Arab Republic 0 1000 t compare
  82. 22 Mozambique 0 1000 t
  83. 22 Dominican Republic 0 1000 t compare
  84. 22 Belarus 0 1000 t compare
  85. 22 Myanmar 0 1000 t compare
  86. 22 Bolivia (Plurinational State of) 0 1000 t compare
  87. 22 Lebanon 0 1000 t compare
  88. 22 Madagascar 0 1000 t compare
  89. 22 Slovenia 0 1000 t compare
  90. 22 Chile 0 1000 t compare
  91. 22 Latvia 0 1000 t compare
  92. 22 Romania 0 1000 t compare
  93. 22 Norway 0 1000 t compare
  94. 22 Ethiopia 0 1000 t
  95. 22 Ghana 0 1000 t compare
  96. 22 Jamaica 0 1000 t compare
  97. 22 Panama 0 1000 t compare
  98. 22 Russian Federation 0 1000 t compare
  99. 22 Austria 0 1000 t compare
  100. 22 Ireland 0 1000 t compare
  101. 22 Venezuela (Bolivarian Republic of) 0 1000 t compare
  102. 22 Zimbabwe 0 1000 t compare
  103. 22 Senegal 0 1000 t
  104. 22 Portugal 0 1000 t compare
  105. 22 Türkiye 0 1000 t compare
  106. 22 El Salvador 0 1000 t compare
  107. 22 Trinidad and Tobago 0 1000 t compare
  108. 22 Belize 0 1000 t compare
  109. 22 Malta 0 1000 t compare
  110. 22 Cameroon 0 1000 t compare
  111. 22 Botswana 0 1000 t compare
  112. 22 Kazakhstan 0 1000 t compare
  113. 22 Bangladesh 0 1000 t
  114. 22 Mauritius 0 1000 t compare
  115. 22 Belgium 0 1000 t compare
  116. 22 Netherlands (Kingdom of the) 0 1000 t compare
  117. 22 United Arab Emirates 0 1000 t compare
  118. 22 Fiji 0 1000 t compare
  119. 22 Morocco 0 1000 t compare
  120. 22 Côte d'Ivoire 0 1000 t
  121. 22 Uganda 0 1000 t compare
  122. 22 Cambodia 0 1000 t compare
  123. 22 Nigeria 0 1000 t compare
  124. 22 Poland 0 1000 t compare
  125. 22 Hungary 0 1000 t compare
  126. 22 New Zealand 0 1000 t compare
  127. 22 Sweden 0 1000 t compare
  128. 22 Ecuador 0 1000 t compare
  129. 22 Greece 0 1000 t compare
  130. 22 Polynesia 0 1000 t compare
  131. 22 Philippines 0 1000 t compare
  132. 22 Sri Lanka 0 1000 t compare
  133. 22 Cyprus 0 1000 t compare
  134. 22 India 0 1000 t compare
  135. 22 Pakistan 0 1000 t compare
  136. 22 Brazil 0 1000 t compare
  137. 22 Colombia 0 1000 t compare
  138. 22 Peru 0 1000 t compare
  139. 22 Costa Rica 0 1000 t compare
  140. 22 Honduras 0 1000 t compare
  141. 22 Egypt 0 1000 t compare
  142. 22 Nepal 0 1000 t compare
  143. 22 United Republic of Tanzania 0 1000 t compare
  144. 22 Guatemala 0 1000 t compare
  145. 22 Indonesia 0 1000 t compare
  146. 22 Melanesia 0 1000 t compare
  147. 22 Caribbean 0 1000 t compare

See the full ranking of 200 places →

More agriculture & rural data for Timor-Leste

All data for Timor-Leste →

Frequently asked questions

What is aquatic animals, others — import quantity in Timor-Leste?
Aquatic animals, others — import quantity in Timor-Leste was 0 1000 t in 2017, according to Food and Agriculture Organization of the United Nations.
What is the highest aquatic animals, others — import quantity recorded in Timor-Leste?
The highest recorded value was 0 1000 t in 2010.
What is the lowest aquatic animals, others — import quantity recorded in Timor-Leste?
The lowest recorded value was 0 1000 t in 2010.
How does Timor-Leste rank for aquatic animals, others — import quantity?
Timor-Leste ranks 22nd out of 169 countries with data for 2017.
Where does this Timor-Leste data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Aquatic Animals, Others — Import quantity. Statizoid updates them automatically from the source API.

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About this data

Indicator
Aquatic Animals, Others — Import quantity
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
200 places, 2,495 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.