Statizoid

Honey — Losses in Timor-Leste

Timor-Leste: Honey — Losses was 0 1000 t in 2023. ▬ Flat

Latest (2023)
0 1000 t
World rank
40th
of 129 countries
All-time high
0 1000 t
in 2010
All-time low
0 1000 t
in 2010
Years of data
14
2010–2023

Honey — Losses in Timor-Leste, 2010–2023

00.20.40.60.812010201620232010: 0 1000 t2011: 0 1000 t2012: 0 1000 t2013: 0 1000 t2014: 0 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

The most recent figure for honey — losses in Timor-Leste is 0 1000 t, measured in 2023. That is the highest value across all 14 years on record.

Over the whole period, honey — losses in Timor-Leste peaked at 0 1000 t in 2010 and was at its lowest, 0 1000 t, in 2010.

That places Timor-Leste 40th out of 129 countries with data for 2023, putting it in the middle of the range.

Averages by decade

DecadeAverage LowestHighest Years
2010s 0 1000 t 0 1000 t 0 1000 t 10
2020s 0 1000 t 0 1000 t 0 1000 t 4

Countries ranked near Timor-Leste

  1. 40 Tonga 0 1000 t compare
  2. 40 Bhutan 0 1000 t compare
  3. 40 Qatar 0 1000 t compare
  4. 40 Bahrain 0 1000 t compare
  5. 40 Turkmenistan 0 1000 t compare
  6. 40 Tajikistan 0 1000 t compare
  7. 40 Libya 0 1000 t compare
  8. 40 Afghanistan 0 1000 t compare
  9. 40 Guinea-Bissau 0 1000 t compare
  10. 40 Mongolia 0 1000 t compare
  11. 40 Albania 0 1000 t compare
  12. 40 Jordan 0 1000 t compare
  13. 40 Armenia 0 1000 t compare
  14. 40 French Polynesia 0 1000 t compare
  15. 40 Suriname 0 1000 t compare
  16. 40 Paraguay 0 1000 t compare
  17. 40 Israel 0 1000 t compare
  18. 40 North Macedonia 0 1000 t compare
  19. 40 Montenegro 0 1000 t compare
  20. 40 Bosnia and Herzegovina 0 1000 t compare
  21. 40 Georgia 0 1000 t compare
  22. 40 Kyrgyzstan 0 1000 t compare
  23. 40 Estonia 0 1000 t compare
  24. 40 Iraq 0 1000 t compare
  25. 40 Luxembourg 0 1000 t compare
  26. 40 Algeria 0 1000 t compare
  27. 40 Tunisia 0 1000 t compare
  28. 40 Ireland 0 1000 t compare
  29. 40 Azerbaijan 0 1000 t compare
  30. 40 Finland 0 1000 t compare
  31. 40 Samoa 0 1000 t compare
  32. 40 Guyana 0 1000 t compare
  33. 40 Trinidad and Tobago 0 1000 t compare
  34. 40 Latvia 0 1000 t compare
  35. 40 New Caledonia 0 1000 t compare
  36. 40 Lithuania 0 1000 t compare
  37. 40 Belgium 0 1000 t compare
  38. 40 Republic of Moldova 0 1000 t compare
  39. 40 Syrian Arab Republic 0 1000 t compare
  40. 40 Czechia 0 1000 t compare
  41. 40 Guinea 0 1000 t compare
  42. 40 Slovakia 0 1000 t compare
  43. 40 Slovenia 0 1000 t compare
  44. 40 Belarus 0 1000 t compare
  45. 40 Papua New Guinea 0 1000 t compare
  46. 40 El Salvador 0 1000 t compare
  47. 40 Saudi Arabia 0 1000 t compare
  48. 40 Dominican Republic 0 1000 t compare
  49. 40 Serbia 0 1000 t compare
  50. 40 Jamaica 0 1000 t compare
  51. 40 Fiji 0 1000 t compare
  52. 40 Lebanon 0 1000 t compare
  53. 40 Norway 0 1000 t compare
  54. 40 Oman 0 1000 t compare
  55. 40 Belize 0 1000 t compare
  56. 40 Yemen 0 1000 t compare
  57. 40 Haiti 0 1000 t compare
  58. 40 Austria 0 1000 t compare
  59. 40 Netherlands (Kingdom of the) 0 1000 t compare
  60. 40 Switzerland 0 1000 t compare
  61. 40 Denmark 0 1000 t compare
  62. 40 Bolivia (Plurinational State of) 0 1000 t compare
  63. 40 Nicaragua 0 1000 t compare
  64. 40 Madagascar 0 1000 t compare
  65. 40 Myanmar 0 1000 t compare
  66. 40 Cyprus 0 1000 t compare
  67. 40 Zambia 0 1000 t compare
  68. 40 Polynesia 0 1000 t compare
  69. 40 Morocco 0 1000 t compare
  70. 40 Sweden 0 1000 t compare
  71. 40 Costa Rica 0 1000 t compare
  72. 40 Rwanda 0 1000 t compare
  73. 40 Mozambique 0 1000 t compare
  74. 40 Honduras 0 1000 t compare
  75. 40 Ecuador 0 1000 t compare
  76. 40 Cameroon 0 1000 t compare
  77. 40 Kazakhstan 0 1000 t compare
  78. 40 China, Taiwan Province of 0 1000 t compare
  79. 40 Côte d'Ivoire 0 1000 t compare
  80. 40 Venezuela (Bolivarian Republic of) 0 1000 t compare
  81. 40 Peru 0 1000 t compare
  82. 40 Senegal 0 1000 t compare
  83. 40 Guatemala 0 1000 t compare
  84. 40 Uganda 0 1000 t compare
  85. 40 Pakistan 0 1000 t compare
  86. 40 Egypt 0 1000 t compare
  87. 40 Colombia 0 1000 t compare
  88. 40 Melanesia 0 1000 t compare
  89. 40 Nepal 0 1000 t compare

See the full ranking of 160 places →

More agriculture & rural data for Timor-Leste

All data for Timor-Leste →

Frequently asked questions

What is honey — losses in Timor-Leste?
Honey — losses in Timor-Leste was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest honey — losses recorded in Timor-Leste?
The highest recorded value was 0 1000 t in 2010.
What is the lowest honey — losses recorded in Timor-Leste?
The lowest recorded value was 0 1000 t in 2010.
How does Timor-Leste rank for honey — losses?
Timor-Leste ranks 40th out of 129 countries with data for 2023.
Where does this Timor-Leste data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Honey — Losses. Statizoid updates them automatically from the source API.

Download this data

CSV · JSON — 14 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).

About this data

Indicator
Honey — Losses
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
160 places, 2,095 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.