Meat, Other — Stock Variation in New Zealand

New Zealand: Meat, Other — Stock Variation was 0 1000 t in 2023. ◆ Volatile

Latest (2023)
0 1000 t
World rank
12th
of 162 countries
All-time high
1 1000 t
in 2013
All-time low
0 1000 t
in 2010
Years of data
14
2010–2023

Meat, Other — Stock Variation in New Zealand, 2010–2023

00.20.40.60.812010201620232010: 0 1000 t2011: 0 1000 t2012: 0 1000 t2013: 1 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

New Zealand recorded 0 1000 t for meat, other — stock variation in 2023. That is the lowest value across all 14 years on record.

That represents a change of down 100.0% over ten years.

Over the whole period, meat, other — stock variation in New Zealand peaked at 1 1000 t in 2013 and was at its lowest, 0 1000 t, in 2010.

New Zealand ranks 12th of 162 countries on this measure, in the top 10%.

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

Meat, Other — Stock Variation in New Zealand, year by year

Annual values for Meat, Other — Stock Variation in New Zealand, 2010 to 2023.
Year 1000 t Change
2010 0 1000 t
2011 0 1000 t
2012 0 1000 t
2013 1 1000 t
2014 0 1000 t -100.0%
2015 0 1000 t
2016 0 1000 t
2017 0 1000 t
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 0.1 1000 t 0 1000 t 1 1000 t 10
2020s 0 1000 t 0 1000 t 0 1000 t 4

Countries ranked near New Zealand

  1. 12 Tuvalu 0 1000 t
  2. 12 Naoero 0 1000 t
  3. 12 Tonga 0 1000 t
  4. 12 Marshall Islands 0 1000 t
  5. 12 Qatar 0 1000 t compare
  6. 12 Bahrain 0 1000 t
  7. 12 Kiribati 0 1000 t
  8. 12 Lesotho 0 1000 t
  9. 12 Guinea-Bissau 0 1000 t
  10. 12 Comoros 0 1000 t
  11. 12 Djibouti 0 1000 t
  12. 12 Sao Tome and Principe 0 1000 t
  13. 12 Liberia 0 1000 t compare
  14. 12 Mauritania 0 1000 t compare
  15. 12 Afghanistan 0 1000 t compare
  16. 12 Tajikistan 0 1000 t
  17. 12 China, Macao SAR 0 1000 t
  18. 12 Saint Kitts and Nevis 0 1000 t
  19. 12 Gambia 0 1000 t
  20. 12 Solomon Islands 0 1000 t
  21. 12 Libya 0 1000 t
  22. 12 Albania 0 1000 t
  23. 12 Sierra Leone 0 1000 t compare
  24. 12 Kuwait 0 1000 t compare
  25. 12 Suriname 0 1000 t
  26. 12 Vanuatu 0 1000 t
  27. 12 Montenegro 0 1000 t
  28. 12 Maldives 0 1000 t
  29. 12 Armenia 0 1000 t
  30. 12 Uzbekistan 0 1000 t compare
  31. 12 Saint Vincent and the Grenadines 0 1000 t
  32. 12 Gabon 0 1000 t
  33. 12 Haiti 0 1000 t compare
  34. 12 Iceland 0 1000 t
  35. 12 Guinea 0 1000 t compare
  36. 12 Eswatini 0 1000 t
  37. 12 Samoa 0 1000 t
  38. 12 Iraq 0 1000 t
  39. 12 Seychelles 0 1000 t
  40. 12 Guyana 0 1000 t
  41. 12 French Polynesia 0 1000 t
  42. 12 Papua New Guinea 0 1000 t
  43. 12 Estonia 0 1000 t
  44. 12 Angola 0 1000 t compare
  45. 12 Jordan 0 1000 t
  46. 12 Bosnia and Herzegovina 0 1000 t
  47. 12 North Macedonia 0 1000 t
  48. 12 Grenada 0 1000 t
  49. 12 Azerbaijan 0 1000 t
  50. 12 Congo 0 1000 t compare
  51. 12 Niger 0 1000 t compare
  52. 12 Lithuania 0 1000 t compare
  53. 12 Georgia 0 1000 t
  54. 12 Paraguay 0 1000 t
  55. 12 Finland 0 1000 t compare
  56. 12 Uruguay 0 1000 t compare
  57. 12 Bahamas 0 1000 t
  58. 12 Algeria 0 1000 t compare
  59. 12 Namibia 0 1000 t
  60. 12 Belarus 0 1000 t compare
  61. 12 New Caledonia 0 1000 t compare
  62. 12 Burkina Faso 0 1000 t compare
  63. 12 Saint Lucia 0 1000 t
  64. 12 Luxembourg 0 1000 t
  65. 12 Slovak Republic 0 1000 t compare
  66. 12 Chile 0 1000 t compare
  67. 12 Latvia 0 1000 t
  68. 12 Ukraine 0 1000 t compare
  69. 12 Croatia 0 1000 t compare
  70. 12 Norway 0 1000 t compare
  71. 12 Antigua and Barbuda 0 1000 t
  72. 12 Tunisia 0 1000 t
  73. 12 Serbia 0 1000 t
  74. 12 Barbados 0 1000 t
  75. 12 Myanmar 0 1000 t
  76. 12 Yemen 0 1000 t
  77. 12 Czechia 0 1000 t compare
  78. 12 Panama 0 1000 t
  79. 12 Israel 0 1000 t
  80. 12 Nicaragua 0 1000 t
  81. 12 Slovenia 0 1000 t
  82. 12 Rwanda 0 1000 t compare
  83. 12 Switzerland 0 1000 t compare
  84. 12 Bulgaria 0 1000 t compare
  85. 12 El Salvador 0 1000 t
  86. 12 Denmark 0 1000 t compare
  87. 12 Dominican Republic 0 1000 t
  88. 12 Belize 0 1000 t
  89. 12 Poland 0 1000 t compare
  90. 12 Mauritius 0 1000 t
  91. 12 Malawi 0 1000 t
  92. 12 Romania 0 1000 t compare
  93. 12 Zambia 0 1000 t compare
  94. 12 Mozambique 0 1000 t
  95. 12 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
  96. 12 Portugal 0 1000 t compare
  97. 12 Russian Federation 0 1000 t compare
  98. 12 Lebanon 0 1000 t
  99. 12 Madagascar 0 1000 t
  100. 12 Jamaica 0 1000 t
  101. 12 Austria 0 1000 t compare
  102. 12 China, Hong Kong SAR 0 1000 t compare
  103. 12 Sweden 0 1000 t compare
  104. 12 Trinidad and Tobago 0 1000 t
  105. 12 Ghana 0 1000 t compare
  106. 12 Malta 0 1000 t compare
  107. 12 Senegal 0 1000 t compare
  108. 12 Malaysia 0 1000 t
  109. 12 Ecuador 0 1000 t
  110. 12 Kazakhstan 0 1000 t compare
  111. 12 Morocco 0 1000 t compare
  112. 12 China, Taiwan Province of 0 1000 t
  113. 12 Fiji 0 1000 t
  114. 12 Australia 0 1000 t compare
  115. 12 Hungary 0 1000 t compare
  116. 12 Zimbabwe 0 1000 t compare
  117. 12 Bangladesh 0 1000 t
  118. 12 Greece 0 1000 t compare
  119. 12 Cameroon 0 1000 t compare
  120. 12 Cambodia 0 1000 t
  121. 12 Nigeria 0 1000 t compare
  122. 12 Pakistan 0 1000 t
  123. 12 South Africa 0 1000 t compare
  124. 12 Italy 0 1000 t compare
  125. 12 Republic of Korea 0 1000 t compare
  126. 12 Cyprus 0 1000 t
  127. 12 Philippines 0 1000 t compare
  128. 12 Uganda 0 1000 t
  129. 12 Sri Lanka 0 1000 t
  130. 12 Honduras 0 1000 t
  131. 12 Costa Rica 0 1000 t
  132. 12 Peru 0 1000 t compare
  133. 12 Spain 0 1000 t compare
  134. 12 India 0 1000 t
  135. 12 Brazil 0 1000 t compare
  136. 12 Mexico 0 1000 t compare
  137. 12 Colombia 0 1000 t compare
  138. 12 Egypt 0 1000 t compare
  139. 12 Australia and New Zealand 0 1000 t compare
  140. 12 Guatemala 0 1000 t
  141. 12 Indonesia 0 1000 t compare
  142. 12 Nepal 0 1000 t
  143. 12 Kenya 0 1000 t compare

See the full ranking of 209 places →

More agriculture & rural data for New Zealand

All data for New Zealand →

Frequently asked questions

What is meat, other — stock variation in New Zealand?
Meat, other — stock variation in New Zealand was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest meat, other — stock variation recorded in New Zealand?
The highest recorded value was 1 1000 t in 2013.
What is the lowest meat, other — stock variation recorded in New Zealand?
The lowest recorded value was 0 1000 t in 2010.
How does New Zealand rank for meat, other — stock variation?
New Zealand ranks 12th out of 162 countries with data for 2023.
Is meat, other — stock variation rising or falling in New Zealand?
Over the last ten years it is down 100.0%. The long-run trend across the full record is volatile.
Where does this New Zealand data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Meat, Other — Stock Variation. Statizoid updates them automatically from the source API.

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Meat, Other — Stock Variation in New Zealand. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 23 August 2026, from https://agriculture.statizoid.com/stat/meat-other-stock-variation/new-zealand/

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About this data

Indicator
Meat, Other — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
209 places, 2,822 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.