Statizoid

Pelagic Fish — Stock Variation in Russian Federation

Russian Federation: Pelagic Fish — Stock Variation was 0 1000 t in 2023. ▬ Flat

Latest (2023)
0 1000 t
World rank
2nd
of 129 countries
All-time high
75 1000 t
in 2011
All-time low
-100 1000 t
in 2016
Years of data
14
2010–2023

Pelagic Fish — Stock Variation in Russian Federation, 2010–2023

-100-500501002010201620232010: 0 1000 t2011: 75 1000 t2012: 75 1000 t2013: 60 1000 t2014: -30 1000 t2015: -80 1000 t2016: -100 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

In 2023, pelagic fish — stock variation in Russian Federation stood at 0 1000 t.

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

Over the whole period, pelagic fish — stock variation in Russian Federation peaked at 75 1000 t in 2011 and was at its lowest, -100 1000 t, in 2016.

Russian Federation ranks 2nd of 129 countries on this measure, in the top 10%.

Pelagic Fish — Stock Variation in Russian Federation, year by year

Year 1000 t Change
2010 0 1000 t —
2011 75 1000 t —
2012 75 1000 t +0.0%
2013 60 1000 t -20.0%
2014 -30 1000 t -150.0%
2015 -80 1000 t +166.7%
2016 -100 1000 t +25.0%
2017 0 1000 t -100.0%
2018 0 1000 t —
2019 0 1000 t —
2020 0 1000 t —
2021 0 1000 t —
2022 0 1000 t —
2023 0 1000 t —

Averages by decade

DecadeAverage LowestHighest Years
2010s 0 1000 t -100 1000 t 75 1000 t 10
2020s 0 1000 t 0 1000 t 0 1000 t 4

Countries ranked near Russian Federation

  1. 1 Peru 103 1000 t compare
  2. 2 Micronesia (Federated States of) 0 1000 t
  3. 2 Tuvalu 0 1000 t compare
  4. 2 Tonga 0 1000 t
  5. 2 Qatar 0 1000 t
  6. 2 Bahrain 0 1000 t
  7. 2 Lesotho 0 1000 t
  8. 2 Kiribati 0 1000 t
  9. 2 Guinea-Bissau 0 1000 t
  10. 2 Micronesia 0 1000 t
  11. 2 Mongolia 0 1000 t
  12. 2 Saint Kitts and Nevis 0 1000 t
  13. 2 Libya 0 1000 t compare
  14. 2 Sierra Leone 0 1000 t
  15. 2 Solomon Islands 0 1000 t compare
  16. 2 Albania 0 1000 t compare
  17. 2 Suriname 0 1000 t
  18. 2 Kuwait 0 1000 t compare
  19. 2 Maldives 0 1000 t
  20. 2 Vanuatu 0 1000 t compare
  21. 2 Gabon 0 1000 t compare
  22. 2 Guinea 0 1000 t
  23. 2 Eswatini 0 1000 t
  24. 2 Samoa 0 1000 t compare
  25. 2 Guyana 0 1000 t
  26. 2 Grenada 0 1000 t
  27. 2 Angola 0 1000 t compare
  28. 2 Republic of Moldova 0 1000 t
  29. 2 Azerbaijan 0 1000 t
  30. 2 North Macedonia 0 1000 t
  31. 2 Oman 0 1000 t compare
  32. 2 Seychelles 0 1000 t compare
  33. 2 Saint Lucia 0 1000 t
  34. 2 Estonia 0 1000 t compare
  35. 2 Luxembourg 0 1000 t
  36. 2 Bahamas 0 1000 t compare
  37. 2 Uruguay 0 1000 t
  38. 2 Lithuania 0 1000 t compare
  39. 2 Finland 0 1000 t compare
  40. 2 Ukraine 0 1000 t compare
  41. 2 Israel 0 1000 t
  42. 2 Myanmar 0 1000 t
  43. 2 Croatia 0 1000 t compare
  44. 2 Yemen 0 1000 t compare
  45. 2 Nicaragua 0 1000 t
  46. 2 Latvia 0 1000 t compare
  47. 2 Antigua and Barbuda 0 1000 t
  48. 2 Argentina 0 1000 t
  49. 2 Norway 0 1000 t compare
  50. 2 Zambia 0 1000 t
  51. 2 Switzerland 0 1000 t compare
  52. 2 Bulgaria 0 1000 t
  53. 2 Panama 0 1000 t
  54. 2 Dominican Republic 0 1000 t compare
  55. 2 Ireland 0 1000 t compare
  56. 2 Syrian Arab Republic 0 1000 t
  57. 2 Slovenia 0 1000 t
  58. 2 El Salvador 0 1000 t
  59. 2 Belize 0 1000 t
  60. 2 Ghana 0 1000 t compare
  61. 2 Mauritius 0 1000 t compare
  62. 2 Belgium 0 1000 t compare
  63. 2 United Arab Emirates 0 1000 t compare
  64. 2 Canada 0 1000 t
  65. 2 Senegal 0 1000 t compare
  66. 2 Denmark 0 1000 t compare
  67. 2 Portugal 0 1000 t compare
  68. 2 Türkiye 0 1000 t
  69. 2 Poland 0 1000 t compare
  70. 2 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
  71. 2 Zimbabwe 0 1000 t
  72. 2 Malta 0 1000 t compare
  73. 2 Trinidad and Tobago 0 1000 t
  74. 2 New Zealand 0 1000 t compare
  75. 2 China, Hong Kong SAR 0 1000 t compare
  76. 2 Malaysia 0 1000 t compare
  77. 2 Sweden 0 1000 t compare
  78. 2 Kazakhstan 0 1000 t
  79. 2 Morocco 0 1000 t compare
  80. 2 Botswana 0 1000 t
  81. 2 Ecuador 0 1000 t compare
  82. 2 Fiji 0 1000 t compare
  83. 2 Côte d'Ivoire 0 1000 t
  84. 2 Australia 0 1000 t
  85. 2 Hungary 0 1000 t
  86. 2 Polynesia 0 1000 t compare
  87. 2 Uganda 0 1000 t
  88. 2 Greece 0 1000 t
  89. 2 Philippines 0 1000 t compare
  90. 2 Republic of Korea 0 1000 t compare
  91. 2 Pakistan 0 1000 t
  92. 2 South Africa 0 1000 t compare
  93. 2 Cyprus 0 1000 t
  94. 2 India 0 1000 t compare
  95. 2 Italy 0 1000 t compare
  96. 2 Costa Rica 0 1000 t compare
  97. 2 Honduras 0 1000 t
  98. 2 Spain 0 1000 t compare
  99. 2 United Republic of Tanzania 0 1000 t compare
  100. 2 Thailand 0 1000 t
  101. 2 Colombia 0 1000 t
  102. 2 Mexico 0 1000 t compare
  103. 2 Guatemala 0 1000 t compare
  104. 2 Australia and New Zealand 0 1000 t compare
  105. 2 Indonesia 0 1000 t
  106. 2 Caribbean 0 1000 t compare
  107. 2 Moldova 0 1000 t
  108. 2 Syria 0 1000 t
  109. 2 Russia 0 1000 t compare
  110. 2 Turkey 0 1000 t
  111. 2 United Kingdom 0 1000 t compare
  112. 2 Cote d'Ivoire 0 1000 t

See the full ranking of 159 places →

More agriculture & rural data for Russian Federation

All data for Russian Federation →

Frequently asked questions

What is pelagic fish — stock variation in Russian Federation?
Pelagic fish — stock variation in Russian Federation was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest pelagic fish — stock variation recorded in Russian Federation?
The highest recorded value was 75 1000 t in 2011.
What is the lowest pelagic fish — stock variation recorded in Russian Federation?
The lowest recorded value was -100 1000 t in 2016.
How does Russian Federation rank for pelagic fish — stock variation?
Russian Federation ranks 2nd out of 129 countries with data for 2023.
Is pelagic fish — stock variation rising or falling in Russian Federation?
Over the last ten years it is down 100.0%. The long-run trend across the full record is flat.
Where does this Russian Federation data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Pelagic Fish — Stock Variation. 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).

Share, cite or embed this page

Cite this page

Pelagic Fish — Stock Variation in Russian Federation. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 02 October 2026, from https://agriculture.statizoid.com/stat/pelagic-fish-stock-variation/russian-federation-2/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY-NC-SA 3.0 IGO (FAO); please keep the attribution.

<a href="https://agriculture.statizoid.com/stat/pelagic-fish-stock-variation/russian-federation-2/">Pelagic Fish — Stock Variation in Russian Federation</a> — Statizoid

About this data

Indicator
Pelagic Fish — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
159 places, 2,119 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.