Statizoid

Mutton & Goat Meat β€” Residuals in Least Developed Countries (LDCs)

Least Developed Countries (LDCs): Mutton & Goat Meat β€” Residuals was 0 1000 t in 2023. β–¬ Flat

Latest (2023)
0 1000 t
Rank
1st
of 39 regions
All-time high
0 1000 t
in 2010
All-time low
0 1000 t
in 2010
Years of data
14
2010–2023

Mutton & Goat Meat β€” Residuals in Least Developed Countries (LDCs), 2010–2023

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

Least Developed Countries (LDCs) recorded 0 1000 t for mutton & goat meat β€” residuals in 2023. That is the highest value across all 14 years on record.

Over the whole period, mutton & goat meat β€” residuals in Least Developed Countries (LDCs) peaked at 0 1000 t in 2010 and was at its lowest, 0 1000 t, in 2010.

Least Developed Countries (LDCs) ranks 1st of 39 regions on this measure, in the top 10%.

Averages by decade

DecadeAverage LowestHighest Years
2010s 0 1000 t 0 1000 t 0 1000 t 10
2020s 0 1000 t 0 1000 t 0 1000 t 4

Countries ranked near Least Developed Countries (LDCs)

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

See the full ranking of 213 places β†’

More agriculture & rural data for Least Developed Countries (LDCs)

All data for Least Developed Countries (LDCs) β†’

Frequently asked questions

What is mutton & goat meat β€” residuals in Least Developed Countries (LDCs)?
Mutton & goat meat β€” residuals in Least Developed Countries (LDCs) was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest mutton & goat meat β€” residuals recorded in Least Developed Countries (LDCs)?
The highest recorded value was 0 1000 t in 2010.
What is the lowest mutton & goat meat β€” residuals recorded in Least Developed Countries (LDCs)?
The lowest recorded value was 0 1000 t in 2010.
How does Least Developed Countries (LDCs) rank for mutton & goat meat β€” residuals?
Least Developed Countries (LDCs) ranks 1st out of 39 regions with data for 2023.
Where does this Least Developed Countries (LDCs) data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Mutton & Goat Meat β€” Residuals. Statizoid updates them automatically from the source API.

Download this data

CSV Β· JSON β€” 14 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).

Share, cite or embed this page

Cite this page

Mutton & Goat Meat β€” Residuals in Least Developed Countries (LDCs). Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 18 August 2026, from https://agriculture.statizoid.com/stat/mutton-and-goat-meat-residuals/least-developed-countries-ldcs/

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/mutton-and-goat-meat-residuals/least-developed-countries-ldcs/">Mutton & Goat Meat β€” Residuals in Least Developed Countries (LDCs)</a> β€” Statizoid

About this data

Indicator
Mutton & Goat Meat β€” Residuals
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
213 places, 2,901 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.