Statizoid

Peas — Stock Variation in Eastern Europe

Eastern Europe: Peas — Stock Variation was -284 1000 t in 2023. ◆ Volatile

Latest (2023)
-284 1000 t
Change on year
down 378.4%
Rank
28th
of 31 groups
All-time high
299 1000 t
in 2017
All-time low
-284 1000 t
in 2023
Years of data
14
2010–2023

Peas — Stock Variation in Eastern Europe, 2010–2023

-20002002010201620232010: 38 1000 t2011: 6 1000 t2012: -19 1000 t2013: -31 1000 t2014: 40 1000 t2015: 11 1000 t2016: 62 1000 t2017: 299 1000 t2018: -258 1000 t2019: 224 1000 t2020: 159 1000 t2021: 147 1000 t2022: 102 1000 t2023: -284 1000 t

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

Analysis

Eastern Europe recorded -284 1000 t for peas — stock variation in 2023. That is the lowest value across all 14 years on record.

Compared with earlier readings it is down 378.4% on the previous year and down 816.1% over ten years.

Over the whole period, peas — stock variation in Eastern Europe peaked at 299 1000 t in 2017 and was at its lowest, -284 1000 t, in 2023.

That places Eastern Europe 28th out of 31 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.

Averages by decade

DecadeAverage LowestHighest Years
2010s 37.2 1000 t -258 1000 t 299 1000 t 10
2020s 31 1000 t -284 1000 t 159 1000 t 4

Countries ranked near Eastern Europe

  1. 29 Tuvalu 0 1000 t compare
  2. 29 Nauru 0 1000 t compare
  3. 29 Tonga 0 1000 t compare
  4. 29 Marshall Islands 0 1000 t compare
  5. 29 Bhutan 0 1000 t compare
  6. 29 Qatar 0 1000 t compare
  7. 29 Bahrain 0 1000 t compare
  8. 29 Cuba 0 1000 t compare
  9. 29 Kiribati 0 1000 t compare
  10. 29 Sao Tome and Principe 0 1000 t compare
  11. 29 Turkmenistan 0 1000 t compare
  12. 29 Comoros 0 1000 t compare
  13. 29 Solomon Islands 0 1000 t compare
  14. 29 Saint Kitts and Nevis 0 1000 t compare
  15. 29 China, Macao SAR 0 1000 t compare
  16. 29 Mongolia 0 1000 t compare
  17. 29 Vanuatu 0 1000 t compare
  18. 29 Micronesia 0 1000 t compare
  19. 29 Albania 0 1000 t compare
  20. 29 Mauritania 0 1000 t compare
  21. 29 Cabo Verde 0 1000 t compare
  22. 29 Uzbekistan 0 1000 t compare
  23. 29 Saint Vincent and the Grenadines 0 1000 t compare
  24. 29 Jordan 0 1000 t compare
  25. 29 Seychelles 0 1000 t compare
  26. 29 Lesotho 0 1000 t compare
  27. 29 French Polynesia 0 1000 t compare
  28. 29 Suriname 0 1000 t compare
  29. 29 Kuwait 0 1000 t compare
  30. 29 Bahamas 0 1000 t compare
  31. 29 Grenada 0 1000 t compare
  32. 29 Montenegro 0 1000 t compare
  33. 29 Argentina 0 1000 t compare
  34. 29 North Macedonia 0 1000 t compare
  35. 29 Paraguay 0 1000 t compare
  36. 29 Iceland 0 1000 t compare
  37. 29 Saint Lucia 0 1000 t compare
  38. 29 Georgia 0 1000 t compare
  39. 29 Gambia 0 1000 t compare
  40. 29 Bosnia and Herzegovina 0 1000 t compare
  41. 29 Barbados 0 1000 t compare
  42. 29 Maldives 0 1000 t compare
  43. 29 Samoa 0 1000 t compare
  44. 29 Sierra Leone 0 1000 t compare
  45. 29 Antigua and Barbuda 0 1000 t compare
  46. 29 Luxembourg 0 1000 t compare
  47. 29 Gabon 0 1000 t compare
  48. 29 Croatia 0 1000 t compare
  49. 29 China, Hong Kong SAR 0 1000 t compare
  50. 29 Algeria 0 1000 t compare
  51. 29 Guyana 0 1000 t compare
  52. 29 Tunisia 0 1000 t compare
  53. 29 Chile 0 1000 t compare
  54. 29 Ireland 0 1000 t compare
  55. 29 Eswatini 0 1000 t compare
  56. 29 Trinidad and Tobago 0 1000 t compare
  57. 29 New Caledonia 0 1000 t compare
  58. 29 Bulgaria 0 1000 t compare
  59. 29 Malta 0 1000 t compare
  60. 29 Belgium 0 1000 t compare
  61. 29 Guinea 0 1000 t compare
  62. 29 Congo 0 1000 t compare
  63. 29 Iran (Islamic Republic of) 0 1000 t compare
  64. 29 Czechia 0 1000 t compare
  65. 29 Papua New Guinea 0 1000 t compare
  66. 29 Syrian Arab Republic 0 1000 t compare
  67. 29 Slovakia 0 1000 t compare
  68. 29 Uruguay 0 1000 t compare
  69. 29 Saudi Arabia 0 1000 t compare
  70. 29 Slovenia 0 1000 t compare
  71. 29 Oman 0 1000 t compare
  72. 29 El Salvador 0 1000 t compare
  73. 29 Serbia 0 1000 t compare
  74. 29 Malaysia 0 1000 t compare
  75. 29 Malawi 0 1000 t compare
  76. 29 Poland 0 1000 t compare
  77. 29 Dominican Republic 0 1000 t compare
  78. 29 Burkina Faso 0 1000 t compare
  79. 29 Lebanon 0 1000 t compare
  80. 29 Niger 0 1000 t compare
  81. 29 Jamaica 0 1000 t compare
  82. 29 Haiti 0 1000 t compare
  83. 29 Denmark 0 1000 t compare
  84. 29 Panama 0 1000 t compare
  85. 29 Austria 0 1000 t compare
  86. 29 Nicaragua 0 1000 t compare
  87. 29 Italy 0 1000 t compare
  88. 29 Madagascar 0 1000 t compare
  89. 29 Bolivia (Plurinational State of) 0 1000 t compare
  90. 29 Zambia 0 1000 t compare
  91. 29 Portugal 0 1000 t compare
  92. 29 Cambodia 0 1000 t compare
  93. 29 Polynesia 0 1000 t compare
  94. 29 Cyprus 0 1000 t compare
  95. 29 Morocco 0 1000 t compare
  96. 29 Namibia 0 1000 t compare
  97. 29 Sweden 0 1000 t compare
  98. 29 Ghana 0 1000 t compare
  99. 29 Costa Rica 0 1000 t compare
  100. 29 Zimbabwe 0 1000 t compare
  101. 29 Botswana 0 1000 t compare
  102. 29 Ecuador 0 1000 t compare
  103. 29 Bangladesh 0 1000 t compare
  104. 29 Honduras 0 1000 t compare
  105. 29 China, Taiwan Province of 0 1000 t compare
  106. 29 Republic of Korea 0 1000 t compare
  107. 29 Côte d'Ivoire 0 1000 t compare
  108. 29 Philippines 0 1000 t compare
  109. 29 Senegal 0 1000 t compare
  110. 29 Thailand 0 1000 t compare
  111. 29 Peru 0 1000 t compare
  112. 29 India 0 1000 t compare
  113. 29 Brazil 0 1000 t compare
  114. 29 Mexico 0 1000 t compare
  115. 29 Guatemala 0 1000 t compare
  116. 29 Nigeria 0 1000 t compare
  117. 29 Sri Lanka 0 1000 t compare
  118. 29 Uganda 0 1000 t compare
  119. 29 Egypt 0 1000 t compare
  120. 29 Indonesia 0 1000 t compare
  121. 29 Colombia 0 1000 t compare
  122. 29 United Republic of Tanzania 0 1000 t compare
  123. 29 Melanesia 0 1000 t compare
  124. 29 Nepal 0 1000 t compare
  125. 29 Kenya 0 1000 t compare

See the full ranking of 204 places →

More agriculture & rural data for Eastern Europe

All data for Eastern Europe →

Frequently asked questions

What is peas — stock variation in Eastern Europe?
Peas — stock variation in Eastern Europe was -284 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest peas — stock variation recorded in Eastern Europe?
The highest recorded value was 299 1000 t in 2017.
What is the lowest peas — stock variation recorded in Eastern Europe?
The lowest recorded value was -284 1000 t in 2023.
How does Eastern Europe rank for peas — stock variation?
Eastern Europe ranks 28th out of 31 groups with data for 2023.
Is peas — stock variation rising or falling in Eastern Europe?
Over the last ten years it is down 816.1%. The long-run trend across the full record is volatile.
Where does this Eastern Europe data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Peas — Stock Variation. Statizoid updates them automatically from the source API.

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Peas — Stock Variation in Eastern Europe. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 15 August 2026, from https://agriculture.statizoid.com/stat/peas-stock-variation/eastern-europe/

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About this data

Indicator
Peas — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
204 places, 2,724 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.