Statizoid

Pepper — Stock Variation in Net Food Importing Developing Countries (NFIDCs)

Net Food Importing Developing Countries (NFIDCs): Pepper — Stock Variation was 2 1000 t in 2023. ◆ Volatile

Latest (2023)
2 1000 t
Change on year
unchanged
Rank
12th
of 31 groups
All-time high
18 1000 t
in 2019
All-time low
-7 1000 t
in 2013
Years of data
14
2010–2023

Pepper — Stock Variation in Net Food Importing Developing Countries (NFIDCs), 2010–2023

-5051015202010201620232010: -3 1000 t2011: 8 1000 t2012: -1 1000 t2013: -7 1000 t2014: 4 1000 t2015: 5 1000 t2016: 5 1000 t2017: 7 1000 t2018: 14 1000 t2019: 18 1000 t2020: 6 1000 t2021: 4 1000 t2022: 2 1000 t2023: 2 1000 t

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

Analysis

In 2023, pepper — stock variation in Net Food Importing Developing Countries (NFIDCs) stood at 2 1000 t.

Compared with earlier readings it is up 128.6% over ten years.

Over the whole period, pepper — stock variation in Net Food Importing Developing Countries (NFIDCs) peaked at 18 1000 t in 2019 and was at its lowest, -7 1000 t, in 2013.

Net Food Importing Developing Countries (NFIDCs) ranks 12th of 31 groups on this measure, in the middle of the range.

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

Averages by decade

DecadeAverage LowestHighest Years
2010s 5 1000 t -7 1000 t 18 1000 t 10
2020s 3.5 1000 t 2 1000 t 6 1000 t 4

Countries ranked near Net Food Importing Developing Countries (NFIDCs)

  1. 15 Micronesia (Federated States of) 0 1000 t compare
  2. 15 Nauru 0 1000 t compare
  3. 15 Tonga 0 1000 t compare
  4. 15 Marshall Islands 0 1000 t compare
  5. 15 Bhutan 0 1000 t compare
  6. 15 Qatar 0 1000 t compare
  7. 15 Bahrain 0 1000 t compare
  8. 15 Cuba 0 1000 t compare
  9. 15 Timor-Leste 0 1000 t compare
  10. 15 Kiribati 0 1000 t compare
  11. 15 Comoros 0 1000 t compare
  12. 15 Djibouti 0 1000 t compare
  13. 15 Sao Tome and Principe 0 1000 t compare
  14. 15 Tajikistan 0 1000 t compare
  15. 15 Micronesia 0 1000 t compare
  16. 15 Liberia 0 1000 t compare
  17. 15 Mauritania 0 1000 t compare
  18. 15 China, Macao SAR 0 1000 t compare
  19. 15 Afghanistan 0 1000 t compare
  20. 15 Mongolia 0 1000 t compare
  21. 15 Saint Kitts and Nevis 0 1000 t compare
  22. 15 Solomon Islands 0 1000 t compare
  23. 15 Gambia 0 1000 t compare
  24. 15 Libya 0 1000 t compare
  25. 15 Albania 0 1000 t compare
  26. 15 Sierra Leone 0 1000 t compare
  27. 15 Suriname 0 1000 t compare
  28. 15 Vanuatu 0 1000 t compare
  29. 15 Cabo Verde 0 1000 t compare
  30. 15 Montenegro 0 1000 t compare
  31. 15 Maldives 0 1000 t compare
  32. 15 Saint Vincent and the Grenadines 0 1000 t compare
  33. 15 Armenia 0 1000 t compare
  34. 15 Kuwait 0 1000 t compare
  35. 15 Iceland 0 1000 t compare
  36. 15 Kyrgyzstan 0 1000 t compare
  37. 15 Seychelles 0 1000 t compare
  38. 15 French Polynesia 0 1000 t compare
  39. 15 Uzbekistan 0 1000 t compare
  40. 15 Estonia 0 1000 t compare
  41. 15 Gabon 0 1000 t compare
  42. 15 Grenada 0 1000 t compare
  43. 15 Eswatini 0 1000 t compare
  44. 15 Samoa 0 1000 t compare
  45. 15 Guyana 0 1000 t compare
  46. 15 Lithuania 0 1000 t compare
  47. 15 Haiti 0 1000 t compare
  48. 15 Bosnia and Herzegovina 0 1000 t compare
  49. 15 Republic of Moldova 0 1000 t compare
  50. 15 Georgia 0 1000 t compare
  51. 15 Papua New Guinea 0 1000 t compare
  52. 15 Guinea 0 1000 t compare
  53. 15 North Macedonia 0 1000 t compare
  54. 15 Jordan 0 1000 t compare
  55. 15 Angola 0 1000 t compare
  56. 15 Saint Lucia 0 1000 t compare
  57. 15 Oman 0 1000 t compare
  58. 15 Niger 0 1000 t compare
  59. 15 Bahamas 0 1000 t compare
  60. 15 Finland 0 1000 t compare
  61. 15 New Caledonia 0 1000 t compare
  62. 15 Belarus 0 1000 t compare
  63. 15 Congo 0 1000 t compare
  64. 15 Azerbaijan 0 1000 t compare
  65. 15 Uruguay 0 1000 t compare
  66. 15 Paraguay 0 1000 t compare
  67. 15 Slovakia 0 1000 t compare
  68. 15 Namibia 0 1000 t compare
  69. 15 Algeria 0 1000 t compare
  70. 15 Latvia 0 1000 t compare
  71. 15 Luxembourg 0 1000 t compare
  72. 15 Ukraine 0 1000 t compare
  73. 15 Barbados 0 1000 t compare
  74. 15 Antigua and Barbuda 0 1000 t compare
  75. 15 Chile 0 1000 t compare
  76. 15 Ireland 0 1000 t compare
  77. 15 Croatia 0 1000 t compare
  78. 15 Norway 0 1000 t compare
  79. 15 Serbia 0 1000 t compare
  80. 15 Tunisia 0 1000 t compare
  81. 15 Czechia 0 1000 t compare
  82. 15 Argentina 0 1000 t compare
  83. 15 Myanmar 0 1000 t compare
  84. 15 Panama 0 1000 t compare
  85. 15 Slovenia 0 1000 t compare
  86. 15 Bulgaria 0 1000 t compare
  87. 15 Israel 0 1000 t compare
  88. 15 Mauritius 0 1000 t compare
  89. 15 Belgium 0 1000 t compare
  90. 15 Nicaragua 0 1000 t compare
  91. 15 Dominican Republic 0 1000 t compare
  92. 15 Belize 0 1000 t compare
  93. 15 Romania 0 1000 t compare
  94. 15 Poland 0 1000 t compare
  95. 15 Rwanda 0 1000 t compare
  96. 15 Denmark 0 1000 t compare
  97. 15 Switzerland 0 1000 t compare
  98. 15 Yemen 0 1000 t compare
  99. 15 Jamaica 0 1000 t compare
  100. 15 Iran (Islamic Republic of) 0 1000 t compare
  101. 15 Portugal 0 1000 t compare
  102. 15 China, Hong Kong SAR 0 1000 t compare
  103. 15 El Salvador 0 1000 t compare
  104. 15 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
  105. 15 Russian Federation 0 1000 t compare
  106. 15 Malawi 0 1000 t compare
  107. 15 New Zealand 0 1000 t compare
  108. 15 Madagascar 0 1000 t compare
  109. 15 Lebanon 0 1000 t compare
  110. 15 Zambia 0 1000 t compare
  111. 15 Mozambique 0 1000 t compare
  112. 15 Austria 0 1000 t compare
  113. 15 Trinidad and Tobago 0 1000 t compare
  114. 15 France 0 1000 t compare
  115. 15 Malta 0 1000 t compare
  116. 15 Democratic Republic of the Congo 0 1000 t compare
  117. 15 Syrian Arab Republic 0 1000 t compare
  118. 15 Sweden 0 1000 t compare
  119. 15 Türkiye 0 1000 t compare
  120. 15 Malaysia 0 1000 t compare
  121. 15 Fiji 0 1000 t compare
  122. 15 Ghana 0 1000 t compare
  123. 15 Kazakhstan 0 1000 t compare
  124. 15 Botswana 0 1000 t compare
  125. 15 Bolivia (Plurinational State of) 0 1000 t compare
  126. 15 Hungary 0 1000 t compare
  127. 15 Morocco 0 1000 t compare
  128. 15 China, Taiwan Province of 0 1000 t compare
  129. 15 Venezuela (Bolivarian Republic of) 0 1000 t compare
  130. 15 Senegal 0 1000 t compare
  131. 15 Australia 0 1000 t compare
  132. 15 United Arab Emirates 0 1000 t compare
  133. 15 Greece 0 1000 t compare
  134. 15 Polynesia 0 1000 t compare
  135. 15 Ethiopia 0 1000 t compare
  136. 15 Germany 0 1000 t compare
  137. 15 Côte d'Ivoire 0 1000 t compare
  138. 15 Cyprus 0 1000 t compare
  139. 15 Cameroon 0 1000 t compare
  140. 15 Italy 0 1000 t compare
  141. 15 Nigeria 0 1000 t compare
  142. 15 Republic of Korea 0 1000 t compare
  143. 15 Uganda 0 1000 t compare
  144. 15 Honduras 0 1000 t compare
  145. 15 Philippines 0 1000 t compare
  146. 15 Sri Lanka 0 1000 t compare
  147. 15 Costa Rica 0 1000 t compare
  148. 15 Spain 0 1000 t compare
  149. 15 Peru 0 1000 t compare
  150. 15 Mexico 0 1000 t compare
  151. 15 United Republic of Tanzania 0 1000 t compare
  152. 15 Egypt 0 1000 t compare
  153. 15 China, mainland 0 1000 t compare
  154. 15 Australia and New Zealand 0 1000 t compare
  155. 15 Guatemala 0 1000 t compare
  156. 15 Colombia 0 1000 t compare
  157. 15 Nepal 0 1000 t compare
  158. 15 Kenya 0 1000 t compare
  159. 15 Melanesia 0 1000 t compare
  160. 15 China 0 1000 t compare
  161. 15 Caribbean 0 1000 t compare

See the full ranking of 208 places →

More agriculture & rural data for Net Food Importing Developing Countries (NFIDCs)

All data for Net Food Importing Developing Countries (NFIDCs) →

Frequently asked questions

What is pepper — stock variation in Net Food Importing Developing Countries (NFIDCs)?
Pepper — stock variation in Net Food Importing Developing Countries (NFIDCs) was 2 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest pepper — stock variation recorded in Net Food Importing Developing Countries (NFIDCs)?
The highest recorded value was 18 1000 t in 2019.
What is the lowest pepper — stock variation recorded in Net Food Importing Developing Countries (NFIDCs)?
The lowest recorded value was -7 1000 t in 2013.
How does Net Food Importing Developing Countries (NFIDCs) rank for pepper — stock variation?
Net Food Importing Developing Countries (NFIDCs) ranks 12th out of 31 groups with data for 2023.
Is pepper — stock variation rising or falling in Net Food Importing Developing Countries (NFIDCs)?
Over the last ten years it is up 128.6%. The long-run trend across the full record is volatile.
Where does this Net Food Importing Developing Countries (NFIDCs) data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Pepper — Stock Variation. Statizoid updates them automatically from the source API.

Download this data

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About this data

Indicator
Pepper — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
208 places, 2,754 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.