Honey — Losses in Czechia

Czechia: Honey — Losses was 0 1000 t in 2023. ◆ Volatile

Latest (2023)
0 1000 t
Change on year
down 100.0%
World rank
45th
of 139 countries
All-time high
1 1000 t
in 2016
All-time low
0 1000 t
in 2014
Years of data
10
2014–2023

Honey — Losses in Czechia, 2014–2023

00.20.40.60.812014201820232014: 0 1000 t2015: 0 1000 t2016: 1 1000 t2017: 1 1000 t2018: 0 1000 t2019: 0 1000 t2020: 0 1000 t2021: 0 1000 t2022: 1 1000 t2023: 0 1000 t

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

Analysis

In 2023, honey — losses in Czechia stood at 0 1000 t. That is the lowest value across all 10 years on record.

That represents a change of down 100.0% on the previous year.

Over the whole period, honey — losses in Czechia peaked at 1 1000 t in 2016 and was at its lowest, 0 1000 t, in 2014.

That places Czechia 45th out of 139 countries with data for 2023, putting it in the middle of the range.

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

Honey — Losses in Czechia, year by year

Annual values for Honey — Losses in Czechia, 2014 to 2023.
Year 1000 t Change
2014 0 1000 t —
2015 0 1000 t —
2016 1 1000 t —
2017 1 1000 t +0.0%
2018 0 1000 t -100.0%
2019 0 1000 t —
2020 0 1000 t —
2021 0 1000 t —
2022 1 1000 t —
2023 0 1000 t -100.0%

Averages by decade

DecadeAverage LowestHighest Years
2010s 0.3333 1000 t 0 1000 t 1 1000 t 6
2020s 0.25 1000 t 0 1000 t 1 1000 t 4

Countries ranked near Czechia

  1. 45 Tonga 0 1000 t
  2. 45 Bhutan 0 1000 t
  3. 45 Qatar 0 1000 t
  4. 45 Bahrain 0 1000 t
  5. 45 Turkmenistan 0 1000 t
  6. 45 Timor-Leste 0 1000 t
  7. 45 Tajikistan 0 1000 t
  8. 45 Libya 0 1000 t
  9. 45 Afghanistan 0 1000 t
  10. 45 Guinea-Bissau 0 1000 t
  11. 45 Mongolia 0 1000 t
  12. 45 Albania 0 1000 t
  13. 45 Jordan 0 1000 t
  14. 45 Armenia 0 1000 t
  15. 45 French Polynesia 0 1000 t
  16. 45 Suriname 0 1000 t
  17. 45 Paraguay 0 1000 t
  18. 45 Israel 0 1000 t
  19. 45 North Macedonia 0 1000 t
  20. 45 Montenegro 0 1000 t
  21. 45 Bosnia and Herzegovina 0 1000 t
  22. 45 Georgia 0 1000 t
  23. 45 Kyrgyzstan 0 1000 t
  24. 45 Estonia 0 1000 t
  25. 45 Iraq 0 1000 t
  26. 45 Luxembourg 0 1000 t
  27. 45 Algeria 0 1000 t
  28. 45 Tunisia 0 1000 t
  29. 45 Ireland 0 1000 t
  30. 45 Azerbaijan 0 1000 t
  31. 45 Finland 0 1000 t
  32. 45 Samoa 0 1000 t
  33. 45 Guyana 0 1000 t
  34. 45 Trinidad and Tobago 0 1000 t
  35. 45 Latvia 0 1000 t
  36. 45 New Caledonia 0 1000 t
  37. 45 Lithuania 0 1000 t
  38. 45 Belgium 0 1000 t
  39. 45 Republic of Moldova 0 1000 t
  40. 45 Syrian Arab Republic 0 1000 t
  41. 45 Guinea 0 1000 t
  42. 45 Slovakia 0 1000 t
  43. 45 Slovenia 0 1000 t
  44. 45 Belarus 0 1000 t
  45. 45 Papua New Guinea 0 1000 t
  46. 45 El Salvador 0 1000 t
  47. 45 Saudi Arabia 0 1000 t
  48. 45 Dominican Republic 0 1000 t
  49. 45 Serbia 0 1000 t compare
  50. 45 Jamaica 0 1000 t
  51. 45 Fiji 0 1000 t
  52. 45 Lebanon 0 1000 t
  53. 45 Norway 0 1000 t
  54. 45 Oman 0 1000 t
  55. 45 Belize 0 1000 t
  56. 45 Yemen 0 1000 t
  57. 45 Haiti 0 1000 t
  58. 45 Austria 0 1000 t
  59. 45 Netherlands (Kingdom of the) 0 1000 t
  60. 45 Switzerland 0 1000 t
  61. 45 Denmark 0 1000 t
  62. 45 Bolivia (Plurinational State of) 0 1000 t
  63. 45 Nicaragua 0 1000 t
  64. 45 Madagascar 0 1000 t
  65. 45 Myanmar 0 1000 t
  66. 45 Cyprus 0 1000 t
  67. 45 Zambia 0 1000 t
  68. 45 Polynesia 0 1000 t
  69. 45 Morocco 0 1000 t
  70. 45 Sweden 0 1000 t
  71. 45 Costa Rica 0 1000 t
  72. 45 Rwanda 0 1000 t
  73. 45 Mozambique 0 1000 t
  74. 45 Honduras 0 1000 t
  75. 45 Ecuador 0 1000 t
  76. 45 Cameroon 0 1000 t
  77. 45 Kazakhstan 0 1000 t
  78. 45 China, Taiwan Province of 0 1000 t compare
  79. 45 Côte d'Ivoire 0 1000 t
  80. 45 Venezuela (Bolivarian Republic of) 0 1000 t
  81. 45 South Africa 0 1000 t
  82. 45 Peru 0 1000 t
  83. 45 Senegal 0 1000 t
  84. 45 Guatemala 0 1000 t
  85. 45 Uganda 0 1000 t
  86. 45 Pakistan 0 1000 t
  87. 45 Egypt 0 1000 t
  88. 45 Colombia 0 1000 t
  89. 45 Melanesia 0 1000 t
  90. 45 Nepal 0 1000 t
  91. 45 East Timor 0 1000 t
  92. 45 Moldova 0 1000 t
  93. 45 Syria 0 1000 t
  94. 45 Cote d'Ivoire 0 1000 t

See the full ranking of 169 places →

More agriculture & rural data for Czechia

All data for Czechia →

Frequently asked questions

What is honey — losses in Czechia?
Honey — losses in Czechia was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest honey — losses recorded in Czechia?
The highest recorded value was 1 1000 t in 2016.
What is the lowest honey — losses recorded in Czechia?
The lowest recorded value was 0 1000 t in 2014.
How does Czechia rank for honey — losses?
Czechia ranks 45th out of 139 countries with data for 2023.
Where does this Czechia 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.

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Honey — Losses in Czechia. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 02 October 2026, from https://agriculture.statizoid.com/stat/honey-losses/czechia/

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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
169 places, 2,209 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.