Mutton & Goat Meat — Stock Variation in Americas

Americas: Mutton & Goat Meat — Stock Variation was 1 1000 t in 2023. ◆ Volatile

Latest (2023)
1 1000 t
Change on year
down 83.3%
Rank
16th
of 30 groups
All-time high
19 1000 t
in 2011
All-time low
-4 1000 t
in 2014
Years of data
14
2010–2023

Mutton & Goat Meat — Stock Variation in Americas, 2010–2023

-5051015202010201620232010: 11 1000 t2011: 19 1000 t2012: 4 1000 t2013: 7 1000 t2014: -4 1000 t2015: 4 1000 t2016: 4 1000 t2017: 11 1000 t2018: 9 1000 t2019: 3 1000 t2020: 0 1000 t2021: -3 1000 t2022: 6 1000 t2023: 1 1000 t

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

Analysis

Americas recorded 1 1000 t for mutton & goat meat — stock variation in 2023.

The figure is down 83.3% on the previous year and down 85.7% over ten years.

Over the whole period, mutton & goat meat — stock variation in Americas peaked at 19 1000 t in 2011 and was at its lowest, -4 1000 t, in 2014.

That places Americas 16th out of 30 groups 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.

Mutton & Goat Meat — Stock Variation in Americas, year by year

Annual values for Mutton & Goat Meat — Stock Variation in Americas, 2010 to 2023.
Year 1000 t Change
2010 11 1000 t —
2011 19 1000 t +72.7%
2012 4 1000 t -78.9%
2013 7 1000 t +75.0%
2014 -4 1000 t -157.1%
2015 4 1000 t -200.0%
2016 4 1000 t +0.0%
2017 11 1000 t +175.0%
2018 9 1000 t -18.2%
2019 3 1000 t -66.7%
2020 0 1000 t -100.0%
2021 -3 1000 t —
2022 6 1000 t -300.0%
2023 1 1000 t -83.3%

Averages by decade

DecadeAverage LowestHighest Years
2010s 6.8 1000 t -4 1000 t 19 1000 t 10
2020s 1 1000 t -3 1000 t 6 1000 t 4

Countries ranked near Americas

  1. 13 Croatia 1 1000 t compare
  2. 13 Rwanda 1 1000 t compare
  3. 13 Australia 1 1000 t compare
  4. 13 Greece 1 1000 t compare
  5. 13 Côte d'Ivoire 1 1000 t compare
  6. 13 Cote d'Ivoire 1 1000 t compare
  7. 19 Micronesia (Federated States of) 0 1000 t
  8. 19 Tuvalu 0 1000 t
  9. 19 Nauru 0 1000 t
  10. 19 Tonga 0 1000 t
  11. 19 Marshall Islands 0 1000 t
  12. 19 Bhutan 0 1000 t
  13. 19 Qatar 0 1000 t compare
  14. 19 Bahrain 0 1000 t
  15. 19 Democratic People's Republic of Korea 0 1000 t compare
  16. 19 Cuba 0 1000 t
  17. 19 Turkmenistan 0 1000 t compare
  18. 19 Timor-Leste 0 1000 t
  19. 19 Kiribati 0 1000 t
  20. 19 Lesotho 0 1000 t compare
  21. 19 Guinea-Bissau 0 1000 t
  22. 19 Comoros 0 1000 t
  23. 19 Djibouti 0 1000 t
  24. 19 Sao Tome and Principe 0 1000 t
  25. 19 Liberia 0 1000 t
  26. 19 Mauritania 0 1000 t compare
  27. 19 Micronesia 0 1000 t
  28. 19 Tajikistan 0 1000 t compare
  29. 19 Afghanistan 0 1000 t compare
  30. 19 China, Macao SAR 0 1000 t
  31. 19 Saint Kitts and Nevis 0 1000 t
  32. 19 Gambia 0 1000 t
  33. 19 Solomon Islands 0 1000 t
  34. 19 Libya 0 1000 t compare
  35. 19 Albania 0 1000 t
  36. 19 Sierra Leone 0 1000 t compare
  37. 19 Suriname 0 1000 t
  38. 19 Vanuatu 0 1000 t
  39. 19 Montenegro 0 1000 t compare
  40. 19 Lao People's Democratic Republic 0 1000 t
  41. 19 Maldives 0 1000 t
  42. 19 Armenia 0 1000 t
  43. 19 Cabo Verde 0 1000 t
  44. 19 Uzbekistan 0 1000 t compare
  45. 19 Saint Vincent and the Grenadines 0 1000 t
  46. 19 Gabon 0 1000 t
  47. 19 Iceland 0 1000 t compare
  48. 19 Haiti 0 1000 t compare
  49. 19 Samoa 0 1000 t
  50. 19 Oman 0 1000 t compare
  51. 19 Guinea 0 1000 t compare
  52. 19 Saudi Arabia 0 1000 t compare
  53. 19 Eswatini 0 1000 t
  54. 19 Seychelles 0 1000 t
  55. 19 Estonia 0 1000 t
  56. 19 French Polynesia 0 1000 t
  57. 19 Iraq 0 1000 t compare
  58. 19 Guyana 0 1000 t
  59. 19 Papua New Guinea 0 1000 t compare
  60. 19 Republic of Moldova 0 1000 t
  61. 19 Angola 0 1000 t
  62. 19 Bosnia and Herzegovina 0 1000 t
  63. 19 Jordan 0 1000 t
  64. 19 Grenada 0 1000 t
  65. 19 Lithuania 0 1000 t compare
  66. 19 North Macedonia 0 1000 t
  67. 19 Azerbaijan 0 1000 t compare
  68. 19 Congo 0 1000 t
  69. 19 Georgia 0 1000 t compare
  70. 19 Niger 0 1000 t compare
  71. 19 Finland 0 1000 t compare
  72. 19 Paraguay 0 1000 t
  73. 19 Uruguay 0 1000 t compare
  74. 19 Belarus 0 1000 t
  75. 19 Bahamas 0 1000 t
  76. 19 New Caledonia 0 1000 t
  77. 19 Algeria 0 1000 t compare
  78. 19 Namibia 0 1000 t compare
  79. 19 Saint Lucia 0 1000 t
  80. 19 Burkina Faso 0 1000 t compare
  81. 19 Luxembourg 0 1000 t
  82. 19 Slovakia 0 1000 t
  83. 19 Latvia 0 1000 t
  84. 19 Chile 0 1000 t compare
  85. 19 Viet Nam 0 1000 t
  86. 19 Ukraine 0 1000 t compare
  87. 19 Ireland 0 1000 t compare
  88. 19 Norway 0 1000 t compare
  89. 19 Antigua and Barbuda 0 1000 t
  90. 19 Barbados 0 1000 t
  91. 19 Serbia 0 1000 t
  92. 19 Tunisia 0 1000 t compare
  93. 19 Argentina 0 1000 t compare
  94. 19 Czechia 0 1000 t compare
  95. 19 Myanmar 0 1000 t compare
  96. 19 Panama 0 1000 t
  97. 19 Yemen 0 1000 t
  98. 19 Israel 0 1000 t compare
  99. 19 Nicaragua 0 1000 t
  100. 19 Slovenia 0 1000 t
  101. 19 Netherlands (Kingdom of the) 0 1000 t compare
  102. 19 Bulgaria 0 1000 t compare
  103. 19 Belgium 0 1000 t compare
  104. 19 Switzerland 0 1000 t
  105. 19 Denmark 0 1000 t compare
  106. 19 Poland 0 1000 t compare
  107. 19 Dominican Republic 0 1000 t
  108. 19 Iran (Islamic Republic of) 0 1000 t compare
  109. 19 Mauritius 0 1000 t compare
  110. 19 El Salvador 0 1000 t
  111. 19 Romania 0 1000 t compare
  112. 19 Belize 0 1000 t
  113. 19 Zambia 0 1000 t compare
  114. 19 Mozambique 0 1000 t
  115. 19 Portugal 0 1000 t compare
  116. 19 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
  117. 19 Malawi 0 1000 t
  118. 19 Jamaica 0 1000 t compare
  119. 19 Lebanon 0 1000 t
  120. 19 Democratic Republic of the Congo 0 1000 t compare
  121. 19 China, Hong Kong SAR 0 1000 t compare
  122. 19 Madagascar 0 1000 t
  123. 19 Canada 0 1000 t compare
  124. 19 Syrian Arab Republic 0 1000 t compare
  125. 19 Austria 0 1000 t compare
  126. 19 Türkiye 0 1000 t compare
  127. 19 Malta 0 1000 t
  128. 19 France 0 1000 t
  129. 19 Trinidad and Tobago 0 1000 t
  130. 19 Ghana 0 1000 t compare
  131. 19 Malaysia 0 1000 t
  132. 19 Senegal 0 1000 t compare
  133. 19 Venezuela (Bolivarian Republic of) 0 1000 t compare
  134. 19 Bolivia (Plurinational State of) 0 1000 t
  135. 19 Ecuador 0 1000 t
  136. 19 Kazakhstan 0 1000 t compare
  137. 19 China, Taiwan Province of 0 1000 t compare
  138. 19 Fiji 0 1000 t
  139. 19 Morocco 0 1000 t compare
  140. 19 Botswana 0 1000 t
  141. 19 Hungary 0 1000 t
  142. 19 Ethiopia 0 1000 t compare
  143. 19 Zimbabwe 0 1000 t
  144. 19 Bangladesh 0 1000 t compare
  145. 19 Polynesia 0 1000 t
  146. 19 Cameroon 0 1000 t compare
  147. 19 Cambodia 0 1000 t
  148. 19 Cyprus 0 1000 t compare
  149. 19 Italy 0 1000 t compare
  150. 19 Nigeria 0 1000 t compare
  151. 19 South Africa 0 1000 t compare
  152. 19 Republic of Korea 0 1000 t
  153. 19 Philippines 0 1000 t compare
  154. 19 Uganda 0 1000 t
  155. 19 Sri Lanka 0 1000 t
  156. 19 Honduras 0 1000 t
  157. 19 Costa Rica 0 1000 t
  158. 19 Peru 0 1000 t compare
  159. 19 Spain 0 1000 t compare
  160. 19 India 0 1000 t compare
  161. 19 Thailand 0 1000 t
  162. 19 United Republic of Tanzania 0 1000 t compare
  163. 19 Mexico 0 1000 t compare
  164. 19 Egypt 0 1000 t compare
  165. 19 Colombia 0 1000 t compare
  166. 19 Guatemala 0 1000 t compare
  167. 19 Nepal 0 1000 t compare
  168. 19 Kenya 0 1000 t compare
  169. 19 Melanesia 0 1000 t compare
  170. 19 Caribbean 0 1000 t compare
  171. 19 Nauru 0 1000 t
  172. 19 East Timor 0 1000 t
  173. 19 Laos 0 1000 t
  174. 19 Moldova 0 1000 t
  175. 19 Vietnam 0 1000 t
  176. 19 United Kingdom 0 1000 t compare
  177. 19 Syria 0 1000 t compare
  178. 19 Turkey 0 1000 t compare
  179. 19 United States 0 1000 t compare

See the full ranking of 224 places →

More agriculture & rural data for Americas

All data for Americas →

Frequently asked questions

What is mutton & goat meat — stock variation in Americas?
Mutton & goat meat — stock variation in Americas was 1 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest mutton & goat meat — stock variation recorded in Americas?
The highest recorded value was 19 1000 t in 2011.
What is the lowest mutton & goat meat — stock variation recorded in Americas?
The lowest recorded value was -4 1000 t in 2014.
How does Americas rank for mutton & goat meat — stock variation?
Americas ranks 16th out of 30 groups with data for 2023.
Is mutton & goat meat — stock variation rising or falling in Americas?
Over the last ten years it is down 85.7%. The long-run trend across the full record is volatile.
Where does this Americas data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Mutton & Goat Meat — Stock Variation. Statizoid updates them automatically from the source API.

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Mutton & Goat Meat — Stock Variation in Americas. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 01 October 2026, from https://agriculture.statizoid.com/stat/mutton-and-goat-meat-stock-variation/americas/

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About this data

Indicator
Mutton & Goat Meat — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
224 places, 2,974 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.