Fats, Animals, Raw — Residuals in Germany

Germany: Fats, Animals, Raw — Residuals was 0 1000 t in 2023. ◆ Volatile

Latest (2023)
0 1000 t
World rank
9th
of 194 countries
All-time high
20 1000 t
in 2010
All-time low
-24 1000 t
in 2018
Years of data
14
2010–2023

Fats, Animals, Raw — Residuals in Germany, 2010–2023

-20-10010202010201620232010: 20 1000 t2011: 15 1000 t2012: 15 1000 t2013: 12 1000 t2014: 0 1000 t2015: 0 1000 t2016: 0 1000 t2017: 0 1000 t2018: -24 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

The most recent figure for fats, animals, raw — residuals in Germany is 0 1000 t, measured in 2023.

Compared with earlier readings it is down 100.0% over ten years.

Over the whole period, fats, animals, raw — residuals in Germany peaked at 20 1000 t in 2010 and was at its lowest, -24 1000 t, in 2018.

That places Germany 9th out of 194 countries with data for 2023, putting it in the top 10%.

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

Fats, Animals, Raw — Residuals in Germany, year by year

Annual values for Fats, Animals, Raw — Residuals in Germany, 2010 to 2023.
Year 1000 t Change
2010 20 1000 t —
2011 15 1000 t -25.0%
2012 15 1000 t +0.0%
2013 12 1000 t -20.0%
2014 0 1000 t -100.0%
2015 0 1000 t —
2016 0 1000 t —
2017 0 1000 t —
2018 -24 1000 t —
2019 0 1000 t -100.0%
2020 0 1000 t —
2021 0 1000 t —
2022 0 1000 t —
2023 0 1000 t —

Germany compared with similar countries

  • Germany's 0 1000 t is above the median for Europe & Central Asia, which is -1 1000 t. (47 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
2010s 3.8 1000 t -24 1000 t 20 1000 t 10
2020s 0 1000 t 0 1000 t 0 1000 t 4

Countries ranked near Germany

  1. 6 Uzbekistan 2 1000 t compare
  2. 7 Bulgaria 1 1000 t compare
  3. 7 Mexico 1 1000 t compare
  4. 9 Micronesia (Federated States of) 0 1000 t
  5. 9 Tuvalu 0 1000 t
  6. 9 Nauru 0 1000 t
  7. 9 Tonga 0 1000 t
  8. 9 Marshall Islands 0 1000 t
  9. 9 Bhutan 0 1000 t
  10. 9 Qatar 0 1000 t
  11. 9 Bahrain 0 1000 t
  12. 9 Democratic People's Republic of Korea 0 1000 t
  13. 9 Cuba 0 1000 t
  14. 9 Turkmenistan 0 1000 t
  15. 9 Timor-Leste 0 1000 t
  16. 9 Lesotho 0 1000 t
  17. 9 Kiribati 0 1000 t
  18. 9 Guinea-Bissau 0 1000 t
  19. 9 Comoros 0 1000 t
  20. 9 Djibouti 0 1000 t compare
  21. 9 Sao Tome and Principe 0 1000 t
  22. 9 Liberia 0 1000 t
  23. 9 Mauritania 0 1000 t
  24. 9 Tajikistan 0 1000 t
  25. 9 Afghanistan 0 1000 t compare
  26. 9 Micronesia 0 1000 t
  27. 9 China, Macao SAR 0 1000 t
  28. 9 Gambia 0 1000 t compare
  29. 9 Saint Kitts and Nevis 0 1000 t
  30. 9 Solomon Islands 0 1000 t
  31. 9 Libya 0 1000 t
  32. 9 Albania 0 1000 t
  33. 9 Sierra Leone 0 1000 t
  34. 9 Kuwait 0 1000 t compare
  35. 9 Suriname 0 1000 t
  36. 9 Montenegro 0 1000 t
  37. 9 Vanuatu 0 1000 t
  38. 9 Lao People's Democratic Republic 0 1000 t
  39. 9 Maldives 0 1000 t
  40. 9 Cabo Verde 0 1000 t
  41. 9 Armenia 0 1000 t
  42. 9 Saint Vincent and the Grenadines 0 1000 t
  43. 9 Gabon 0 1000 t
  44. 9 Eswatini 0 1000 t
  45. 9 Saudi Arabia 0 1000 t compare
  46. 9 Guinea 0 1000 t
  47. 9 Haiti 0 1000 t
  48. 9 Iraq 0 1000 t
  49. 9 Guyana 0 1000 t
  50. 9 Kyrgyzstan 0 1000 t
  51. 9 Papua New Guinea 0 1000 t
  52. 9 Oman 0 1000 t compare
  53. 9 Samoa 0 1000 t
  54. 9 Angola 0 1000 t
  55. 9 French Polynesia 0 1000 t
  56. 9 Seychelles 0 1000 t
  57. 9 Grenada 0 1000 t
  58. 9 North Macedonia 0 1000 t
  59. 9 Jordan 0 1000 t
  60. 9 Republic of Moldova 0 1000 t
  61. 9 Congo 0 1000 t
  62. 9 Estonia 0 1000 t compare
  63. 9 Niger 0 1000 t
  64. 9 Algeria 0 1000 t
  65. 9 Namibia 0 1000 t compare
  66. 9 Georgia 0 1000 t compare
  67. 9 Paraguay 0 1000 t compare
  68. 9 Lithuania 0 1000 t compare
  69. 9 Bahamas 0 1000 t
  70. 9 Burkina Faso 0 1000 t compare
  71. 9 Saint Lucia 0 1000 t
  72. 9 New Caledonia 0 1000 t
  73. 9 Luxembourg 0 1000 t
  74. 9 Belarus 0 1000 t compare
  75. 9 Slovakia 0 1000 t compare
  76. 9 Chile 0 1000 t compare
  77. 9 Ukraine 0 1000 t compare
  78. 9 Israel 0 1000 t
  79. 9 Myanmar 0 1000 t
  80. 9 Serbia 0 1000 t
  81. 9 Norway 0 1000 t compare
  82. 9 Yemen 0 1000 t
  83. 9 Antigua and Barbuda 0 1000 t
  84. 9 Barbados 0 1000 t
  85. 9 Panama 0 1000 t compare
  86. 9 Rwanda 0 1000 t
  87. 9 Nicaragua 0 1000 t
  88. 9 Iran (Islamic Republic of) 0 1000 t
  89. 9 Dominican Republic 0 1000 t compare
  90. 9 El Salvador 0 1000 t
  91. 9 Malawi 0 1000 t
  92. 9 Belize 0 1000 t
  93. 9 Mozambique 0 1000 t
  94. 9 Democratic Republic of the Congo 0 1000 t
  95. 9 Zambia 0 1000 t
  96. 9 Mauritius 0 1000 t
  97. 9 Lebanon 0 1000 t compare
  98. 9 Madagascar 0 1000 t
  99. 9 United Arab Emirates 0 1000 t
  100. 9 Syrian Arab Republic 0 1000 t compare
  101. 9 Jamaica 0 1000 t
  102. 9 New Zealand 0 1000 t compare
  103. 9 Ghana 0 1000 t
  104. 9 Venezuela (Bolivarian Republic of) 0 1000 t compare
  105. 9 China, Hong Kong SAR 0 1000 t compare
  106. 9 Senegal 0 1000 t
  107. 9 Trinidad and Tobago 0 1000 t
  108. 9 Malta 0 1000 t
  109. 9 Morocco 0 1000 t
  110. 9 Kazakhstan 0 1000 t compare
  111. 9 China, Taiwan Province of 0 1000 t
  112. 9 Zimbabwe 0 1000 t
  113. 9 Ethiopia 0 1000 t
  114. 9 Bangladesh 0 1000 t compare
  115. 9 Fiji 0 1000 t
  116. 9 Côte d'Ivoire 0 1000 t compare
  117. 9 Cameroon 0 1000 t
  118. 9 Polynesia 0 1000 t
  119. 9 Pakistan 0 1000 t compare
  120. 9 Cambodia 0 1000 t
  121. 9 Nigeria 0 1000 t
  122. 9 Republic of Korea 0 1000 t compare
  123. 9 Uganda 0 1000 t
  124. 9 Philippines 0 1000 t
  125. 9 Cyprus 0 1000 t
  126. 9 Sri Lanka 0 1000 t compare
  127. 9 India 0 1000 t compare
  128. 9 Honduras 0 1000 t
  129. 9 Peru 0 1000 t
  130. 9 United Republic of Tanzania 0 1000 t
  131. 9 Egypt 0 1000 t compare
  132. 9 Nepal 0 1000 t
  133. 9 Kenya 0 1000 t
  134. 9 Melanesia 0 1000 t
  135. 9 Caribbean 0 1000 t compare
  136. 9 Nauru 0 1000 t
  137. 9 East Timor 0 1000 t
  138. 9 Laos 0 1000 t
  139. 9 Moldova 0 1000 t
  140. 9 Syria 0 1000 t compare
  141. 9 Cote d'Ivoire 0 1000 t compare
  142. 9 United States 0 1000 t compare

See the full ranking of 224 places →

More agriculture & rural data for Germany

All data for Germany →

Frequently asked questions

What is fats, animals, raw — residuals in Germany?
Fats, animals, raw — residuals in Germany was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest fats, animals, raw — residuals recorded in Germany?
The highest recorded value was 20 1000 t in 2010.
What is the lowest fats, animals, raw — residuals recorded in Germany?
The lowest recorded value was -24 1000 t in 2018.
How does Germany rank for fats, animals, raw — residuals?
Germany ranks 9th out of 194 countries with data for 2023.
Is fats, animals, raw — residuals rising or falling in Germany?
Over the last ten years it is down 100.0%. The long-run trend across the full record is volatile.
Where does this Germany data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Fats, Animals, Raw — Residuals. Statizoid updates them automatically from the source API.

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Fats, Animals, Raw — Residuals in Germany. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 01 October 2026, from https://agriculture.statizoid.com/stat/fats-animals-raw-residuals/germany/

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About this data

Indicator
Fats, Animals, Raw — Residuals
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
224 places, 3,046 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.